From f9ee7526a387eb2d0bafa29a4d27e037a099dddc Mon Sep 17 00:00:00 2001 From: Nasef Khan Date: Wed, 26 Jun 2019 12:10:35 +0100 Subject: [PATCH 01/83] Update release.md for next release (#107) Add version 0.15.0 --- RELEASE.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/RELEASE.md b/RELEASE.md index 6f3d0eeeb8..980a53cb10 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -1,3 +1,13 @@ +# Release 0.15.0 + +## Major features and improvements + +## Bug fixes and other changes + +## Breaking changes to the API + +## Thanks for supporting contributions + # Release 0.14.3 ## Major features and improvements From a099432805535e5270f92d30082a901b4cd1735e Mon Sep 17 00:00:00 2001 From: Yetunde Dada <43755008+yetudada@users.noreply.github.com> Date: Thu, 27 Jun 2019 10:18:25 -0400 Subject: [PATCH 02/83] [KED-859] Include `kedro install` instructions (#108) - Referenced `kedro install` functionality in documentation --- docs/source/02_getting_started/03_new_project.md | 9 ++++----- docs/source/03_tutorial/01_workflow.md | 1 + docs/source/03_tutorial/02_tutorial_template.md | 8 ++++++++ 3 files changed, 13 insertions(+), 5 deletions(-) diff --git a/docs/source/02_getting_started/03_new_project.md b/docs/source/02_getting_started/03_new_project.md index 6802da45f9..cd079e895b 100644 --- a/docs/source/02_getting_started/03_new_project.md +++ b/docs/source/02_getting_started/03_new_project.md @@ -52,13 +52,12 @@ include_example: true If you want to work with a Kedro project that has already been created, you may use `git clone` to directly clone it. You don’t need to create a new Kedro project. -To make sure you have the required dependencies, run (in your virtual environment): +## Install project dependencies + +Within your virtual environment and your project's root directory, you can install project dependencies by executing the following: -```bash -pip install -U -r src/requirements.txt -``` -Or run the following if you have Kedro installed in your virtual environment: ```bash kedro install ``` +This command will install dependencies listed in `src/requirements.txt`. diff --git a/docs/source/03_tutorial/01_workflow.md b/docs/source/03_tutorial/01_workflow.md index 178d30f589..90abd53ae0 100644 --- a/docs/source/03_tutorial/01_workflow.md +++ b/docs/source/03_tutorial/01_workflow.md @@ -8,6 +8,7 @@ When building a Kedro project, you will typically follow a standard development ### 1. Set up the project template * Create a new project with `kedro new` +* Install dependencies with `kedro install` * Configure the following in the `conf` folder: * Logging * Credentials diff --git a/docs/source/03_tutorial/02_tutorial_template.md b/docs/source/03_tutorial/02_tutorial_template.md index de2b35ebe3..a1e161e2ca 100644 --- a/docs/source/03_tutorial/02_tutorial_template.md +++ b/docs/source/03_tutorial/02_tutorial_template.md @@ -11,6 +11,14 @@ Run `kedro new` from your chosen working directory to create an empty template p Call the project **`Kedro Tutorial`** and keep the default naming by pressing enter when prompted. Choose `N` to create a project template _without_ the Iris dataset example. Alternatively, you can create a new project from a [configuration file](../02_getting_started/03_new_project.md#create-a-new-project-from-a-configuration-file). +### Install project dependencies + +Within your [virtual environment](../02_getting_started/03_new_project.md#install-project-dependencies) and your project's root directory, you can install project dependencies by running: + +```bash +kedro install +``` + ### Project configuration The project template has a default configuration, but you should reconfigure it as follows: From bf34f2e0f8772c7b2040b165a9451bf215237205 Mon Sep 17 00:00:00 2001 From: Dmitry Vukolov Date: Thu, 27 Jun 2019 18:33:27 +0300 Subject: [PATCH 03/83] Removal of a duplicate paragraph (#23) * Removal of a duplicate paragraph * Updated contributors for 0.15.0 * Delete an extra newline --- RELEASE.md | 1 + docs/source/04_user_guide/05_nodes_and_pipelines.md | 2 -- kedro/template/{{ cookiecutter.repo_name }}/conf/README.md | 3 +-- 3 files changed, 2 insertions(+), 4 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 980a53cb10..713346734b 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -7,6 +7,7 @@ ## Breaking changes to the API ## Thanks for supporting contributions +[Dmitry Vukolov](https://github.com/dvukolov) # Release 0.14.3 diff --git a/docs/source/04_user_guide/05_nodes_and_pipelines.md b/docs/source/04_user_guide/05_nodes_and_pipelines.md index 5462edad0e..d587b65785 100644 --- a/docs/source/04_user_guide/05_nodes_and_pipelines.md +++ b/docs/source/04_user_guide/05_nodes_and_pipelines.md @@ -783,8 +783,6 @@ This will create a partial pipeline, consisting solely of the nodes you specify #### Recreating Missing Outputs -Kedro supports the automatic generation of partial pipelines that take into account existing node outputs. This can be helpful to avoid re-running nodes which take a long time. - Kedro supports the automatic generation of partial pipelines that take into account existing node outputs. This can be helpful to avoid re-running nodes that take a long time: ```python diff --git a/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md b/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md index ee8c6103fc..f76be058d0 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md +++ b/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md @@ -12,8 +12,7 @@ The `local` folder should be used for configuration that is either user-specific ## Base configuration -The `base` folder is for shared configuration, such as non-sensitive and project-related configuration that may -be shared across team members. +The `base` folder is for shared configuration, such as non-sensitive and project-related configuration that may be shared across team members. WARNING: Please do not put access credentials in the base configuration folder. From 1066d4b91497c20310d3edb95528f24f6e4e886d Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Thu, 27 Jun 2019 17:34:01 +0100 Subject: [PATCH 04/83] Fix missing API doc for HDFS3DataSet (#112) --- RELEASE.md | 2 +- docs/source/05_api_docs/kedro.io.rst | 1 + kedro/io/hdf_s3.py | 1 + 3 files changed, 3 insertions(+), 1 deletion(-) diff --git a/RELEASE.md b/RELEASE.md index 713346734b..90830f25a4 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -7,7 +7,7 @@ ## Breaking changes to the API ## Thanks for supporting contributions -[Dmitry Vukolov](https://github.com/dvukolov) +[Kiyohito Kunii](https://github.com/921kiyo), [Dmitry Vukolov](https://github.com/dvukolov) # Release 0.14.3 diff --git a/docs/source/05_api_docs/kedro.io.rst b/docs/source/05_api_docs/kedro.io.rst index 70a04e7ba8..d7502e0eaf 100644 --- a/docs/source/05_api_docs/kedro.io.rst +++ b/docs/source/05_api_docs/kedro.io.rst @@ -24,6 +24,7 @@ Data Sets kedro.io.CSVLocalDataSet kedro.io.CSVS3DataSet kedro.io.HDFLocalDataSet + kedro.io.HDFS3DataSet kedro.io.JSONLocalDataSet kedro.io.LambdaDataSet kedro.io.MemoryDataSet diff --git a/kedro/io/hdf_s3.py b/kedro/io/hdf_s3.py index c6c9b9ceb1..164c612e14 100644 --- a/kedro/io/hdf_s3.py +++ b/kedro/io/hdf_s3.py @@ -48,6 +48,7 @@ class HDFS3DataSet(AbstractDataSet, S3PathVersionMixIn): Example: :: + >>> from kedro.io import HDFS3DataSet >>> import pandas as pd >>> From 6a04ab1f7b6b943008e298d41624a79c04a8ff8c Mon Sep 17 00:00:00 2001 From: Jo Stichbury Date: Thu, 27 Jun 2019 17:38:04 +0100 Subject: [PATCH 05/83] Minor enhancements to documentation (#13) * Update to FAQs * Update headers * Update RELEASE.md --- RELEASE.md | 3 +- docs/source/04_user_guide/04_data_catalog.md | 27 +++++----- docs/source/06_resources/01_faq.md | 51 ++++++++++--------- .../06_resources/02_commands_reference.md | 8 +++ 4 files changed, 49 insertions(+), 40 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 713346734b..4e4a9d9e26 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -3,11 +3,12 @@ ## Major features and improvements ## Bug fixes and other changes +* Documentation improvements ## Breaking changes to the API ## Thanks for supporting contributions -[Dmitry Vukolov](https://github.com/dvukolov) +[Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury) # Release 0.14.3 diff --git a/docs/source/04_user_guide/04_data_catalog.md b/docs/source/04_user_guide/04_data_catalog.md index 331dfdbad2..81fbd27350 100644 --- a/docs/source/04_user_guide/04_data_catalog.md +++ b/docs/source/04_user_guide/04_data_catalog.md @@ -122,7 +122,7 @@ scooters_credentials: ## Loading multiple datasets that have similar configuration -You may encounter situations where your datasets use the same file format, load and save arguments, and are stored in the same folder. The YAML has a [built-in syntax](https://yaml.org/spec/1.2/spec.html#id2765878) for factorising parts of a YAML file, which means that you can decide what is generalisable across your datasets so that you do not have to spend time copying and pasting dataset configurations in `catalog.yml`. +You may encounter situations where your datasets use the same file format, load and save arguments, and are stored in the same folder. YAML has a [built-in syntax](https://yaml.org/spec/1.2/spec.html#id2765878) for factorising parts of a YAML file, which means that you can decide what is generalisable across your datasets so that you do not have to spend time copying and pasting dataset configurations in `catalog.yml`. You can see this in the following example: @@ -175,8 +175,7 @@ airplanes: In this example the default `csv` configuration is inserted into `airplanes` and then the `load_args` block is overridden. Normally that would replace the whole dictionary. In order to extend `load_args` the defaults for that block are then re-inserted. - -### Transcoding datasets +## Transcoding datasets You may come across a situation where you would like to read the same file using two different dataset implementations. For instance, `parquet` files can not only be loaded via the `ParquetLocalDataSet`, but also directly by `SparkDataSet` using `pandas`. To do this, you can can define your `catalog.yml` as follows: @@ -193,7 +192,7 @@ mydata@spark: In your pipeline, you may refer to either dataset as input or output, and it will ensure the dependencies point to a single dataset `mydata` both while running the pipeline and in the visualisation. -### Transforming datasets +## Transforming datasets If you need to augment the loading and / or saving of one or more datasets you can use the transformer API. To do this create a subclass of `AbstractTransformer` that implements your changes and then apply it to your catalog with `DataCatalog.add_transformer`. For example to print the runtimes of load and save operations you could do this: @@ -215,7 +214,7 @@ catalog.add_transformer(PrintTimeTransformer()) By default transformers are applied to all datasets in the catalog (including any that are added in the future). The `DataCatalog.add_transformers` method has an additional argument `data_set_names` that lets you limit which data sets the transformer will be applied to. -### Versioning datasets and ML models +## Versioning datasets and ML models Making a simple addition to your Data Catalog allows you to perform versioning of datasets and machine learning models. @@ -241,7 +240,7 @@ from kedro.io import * import os ``` -### Configuring a data catalog +## Configuring a data catalog In a file like `catalog.py`, you can generate the Data Catalog. This will allow everyone in the project to review all the available data sources. In the following, we are using the pre-built CSV loader, which is documented in the API reference documentation: [CSVLocalDataSet](/kedro.io.CSVLocalDataSet) @@ -255,7 +254,7 @@ io = DataCatalog({ }) ``` -### Loading datasets +## Loading datasets Each dataset can be accessed by its name. @@ -264,7 +263,7 @@ cars = io.load('cars') # data is now loaded as a DataFrame in 'cars' gear = cars['gear'].values ``` -#### Behind the scenes +### Behind the scenes The following steps happened behind the scenes when `load` was called: @@ -273,7 +272,7 @@ The following steps happened behind the scenes when `load` was called: - The `load` method of this dataset was called - This `load` method delegated the loading to the underlying pandas `read_csv` function -#### Viewing the available data sources +### Viewing the available data sources If you forget what data was assigned, you can always review the `DataCatalog`. @@ -281,13 +280,13 @@ If you forget what data was assigned, you can always review the `DataCatalog`. io.list() ``` -### Saving data +## Saving data Saving data can be completed with a similar API. > *Note:* This use is not recommended unless you are prototyping in notebooks. -#### Saving data to memory +### Saving data to memory ```python memory = MemoryDataSet(data=None) @@ -296,7 +295,7 @@ io.save('cars_cache', 'Memory can store anything.') io.load('car_cache') ``` -#### Saving data to a SQL database for querying +### Saving data to a SQL database for querying At this point we may want to put the data in a SQLite database to run queries on it. Let's use that to rank scooters by their mpg. @@ -312,7 +311,7 @@ io.save('cars_table', cars) ranked = io.load('scooters_query')[['brand', 'mpg']] ``` -#### Saving data in parquet +### Saving data in parquet Finally we can save the processed data in Parquet format. @@ -320,5 +319,5 @@ Finally we can save the processed data in Parquet format. io.save('ranked', ranked) ``` -#### Creating your own dataset +### Creating your own dataset More specialised datasets can be found in `contrib/io`. [Creating new datasets](../03_tutorial/03_set_up_data.md#creating-custom-datasets) is the easiest way to contribute to the Kedro project. diff --git a/docs/source/06_resources/01_faq.md b/docs/source/06_resources/01_faq.md index 3b9976f02b..1fb51a5f78 100644 --- a/docs/source/06_resources/01_faq.md +++ b/docs/source/06_resources/01_faq.md @@ -6,33 +6,20 @@ [Kedro](https://github.com/quantumblacklabs/kedro) is a workflow development tool that helps you build data pipelines that are robust, scaleable, deployable, reproducible and versioned. It was originally designed by [Aris Valtazanos](https://github.com/arisvqb) and [Nikolaos Tsaousis](https://github.com/tsanikgr) at [QuantumBlack](https://github.com/quantumblacklabs/) to solve the challenges they faced in their project work. -### Philosophy - -Kedro is a Python library and lightly opinionated framework. This means that we give you the flexibility and extensibility of a standard Python library and make very few assumptions on the _best_ way to do things. We have created independent but friendly modules – modules that understand each others' defaults and are compatible. You can use alternative methods and choose to use one or all of the modules but it is understood that using Kedro in its entirety is the best thing that you can do for your projects. - -### Principles - -The Kedro design principles are: - -- Declarative definitions -- Composability -- Flexibility -- Extensibility -- Simplicity - -## What version of Python does Kedro use? - -Kedro is built for Python 3.5+. - ## What are the primary advantages of Kedro? -It is important to consider the primary advantages of Kedro over existing tools. As we see it, Kedro: +It is important to consider the primary advantages of Kedro over existing tools. -- Is designed to assist both during development and production, allowing quick iterations -- Enforces separation of concerns between data processing and data storing -- Does the heavy lifting for dependency resolution -- Passes data between nodes for faster iterations during development +As we see it, Kedro emphasises a seamless transition from development to production without slowing the pace of the experimentation stage, because it: +- **Simplifies data access,** using YAML configuration to define a single-source of truth for all data sources that your workflow requires +- **Uses a familiar data interface,** by borrowing arguments from Pandas and Spark APIs meaning you do not have to learn a new API +- **Has a minimal pipeline syntax,** that uses Python functions +- **Makes datasets 1st-level citizens,** resolving task running order according to what each task produces and consumes, meaning you do not need to explicitly define dependencies between tasks +- **Has built-in runner selection,** choosing sequential or parallel runner functionality is a `kedro run` argument +- **Has a low-effort setup,** that does not need a scheduler or database +- **Starts with a project template,** which has built-in conventions and best practices from 50+ analytics engagements +- **Is flexible,** simplifying your extension or replacement of core functionality e.g. the whole Data Catalog could be replaced with another mechanism for data access like [`Haxl`](https://github.com/facebook/Haxl) ## How does Kedro compare to other projects? @@ -40,7 +27,7 @@ Data pipelines consist of extract-transform-load (ETL) workflows. If we understa ### Kedro vs workflow schedulers -We see Airflow and Luigi as complementary frameworks: Airflow and Luigi are tools that handle deployment, scheduling, monitoring and alerting. Kedro is the _worker_ that should execute a series of tasks, and report to the Airflow and Luigi _managers_. We are building integrations for both tools and intend these integrations to offer a faster prototyping time and reduce the barriers to entry associated with moving pipelines to both workflow schedulers. +We see Airflow and Luigi as complementary frameworks: Airflow and Luigi are tools that handle deployment, scheduling, monitoring and alerting. Kedro is the _worker_ (with built-in sequential and parallel runners). It doesn't have to rely on a scheduler, but instead executes a series of tasks, and then reports to the Airflow and Luigi _managers_. We are building integrations for both tools and intend these integrations to offer a faster prototyping time and reduce the barriers to entry associated with moving pipelines to both workflow schedulers. ### Kedro vs other ETL frameworks @@ -49,7 +36,6 @@ The primary differences to Bonobo ETL and Bubbles are related to the following f - **Ability to support big data operations**. Kedro supports big data operations by allowing you to use PySpark on your projects. We also look at processing dataframes differently to both tools as we consider entire dataframes and do not make use of the slower line-by-line data stream processing. - **Project structure**. Kedro provides a built-in project structure from the beginning of your project configured for best-practice project management. - **Automatic dependency resolution for pipelines**. The `Pipeline` module also maps out dependencies between nodes and displays the results of this in a sophisticated but easy to understand directed acyclic graph. - - Extensibility ## What is data engineering convention? @@ -92,6 +78,9 @@ The primary differences to Bonobo ETL and Bubbles are related to the following f +----------------+---------------------------------------------------------------------------------------------------+ ``` +## What version of Python does Kedro use? + +Kedro is built for Python 3.5+. ## What best practice should I follow to avoid leaking confidential data? @@ -102,6 +91,18 @@ The primary differences to Bonobo ETL and Bubbles are related to the following f * By default any file inside the `conf/` folder (and its subfolders) containing `credentials` in its name will be ignored via `.gitignore` and not commited to your git repository. * To describe where your colleagues can access the credentials, you may edit the `README.md` to provide instructions. +## What is the philosophy behind Kedro? + +Kedro is a Python library and lightly opinionated framework. This means that we give you the flexibility and extensibility of a standard Python library and make very few assumptions on the _best_ way to do things. We have created independent but friendly modules – modules that understand each others' defaults and are compatible. You can use alternative methods and choose to use one or all of the modules but it is understood that using Kedro in its entirety is the best thing that you can do for your projects. + +The Kedro design principles are: + +- Declarative definitions +- Composability +- Flexibility +- Extensibility +- Simplicity + ## Where do I store my custom editor configuration? You can use `conf/local` to describe your custom editor configuration. diff --git a/docs/source/06_resources/02_commands_reference.md b/docs/source/06_resources/02_commands_reference.md index 3f4d3dad23..502a582e11 100644 --- a/docs/source/06_resources/02_commands_reference.md +++ b/docs/source/06_resources/02_commands_reference.md @@ -6,6 +6,14 @@ The `kedro` command line interface (CLI) helps with reproducibility in projects The supported commands are specified in the `kedro_cli.py` file. It is easy to extend `kedro_cli.py` by either modifying the file or injecting commands into it by using the [`plugin` framework](../04_user_guide/09_developing_plugins.md). +### Autocomplete + +To allow your shell to autocomplete `kedro` commands, you can add the following to your `.bashrc` (or just run it on the command line) + +``` +eval "$(_KEDRO_COMPLETE=source kedro)" +``` + ## Global Kedro commands Show version and exit: From ea996912cb5433306c206e00cd7e9c981a3411e8 Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Fri, 28 Jun 2019 09:52:46 +0100 Subject: [PATCH 06/83] Remove more non ASCII stuff (#113) --- kedro/config/config.py | 32 ++++++++++++++++---------------- setup.py | 2 +- tests/cli/conftest.py | 2 +- tests/conftest.py | 2 +- tests/io/conftest.py | 2 +- tools/license_and_headers.py | 12 ++++++++++++ 6 files changed, 32 insertions(+), 20 deletions(-) diff --git a/kedro/config/config.py b/kedro/config/config.py index 3232b5f692..b07986775c 100644 --- a/kedro/config/config.py +++ b/kedro/config/config.py @@ -70,22 +70,22 @@ class ConfigLoader: :: . - └── conf -    ├── README.md - ├── base -    │   ├── catalog.yml -    │   ├── logging.yml -    │   └── experiment1 -    │   └── parameters.yml -    └── local -       ├── catalog.yml -       ├── db.ini -       ├── experiment1 -       │ ├── parameters.yml -       │ └── model_parameters.yml -       └── experiment2 -       └── parameters.yml -    + `-- conf + |-- README.md + |-- base + | |-- catalog.yml + | |-- logging.yml + | `-- experiment1 + | `-- parameters.yml + `-- local + |-- catalog.yml + |-- db.ini + |-- experiment1 + | |-- parameters.yml + | `-- model_parameters.yml + `-- experiment2 + `-- parameters.yml + You can access the different configurations as follows: :: diff --git a/setup.py b/setup.py index 1410682ece..6633ae64d3 100644 --- a/setup.py +++ b/setup.py @@ -82,7 +82,7 @@ author="QuantumBlack Labs", entry_points={"console_scripts": ["kedro = kedro.cli:main"]}, package_data={name: template_files + doc_html_files}, - keywords="pipelines, machine learning, data pipelines, data science, data engineering", + keywords="pipelines, machine learning, data pipelines, data science, data engineering", classifiers=[ "Development Status :: 4 - Beta", "Programming Language :: Python :: 3.5", diff --git a/tests/cli/conftest.py b/tests/cli/conftest.py index 795285cdf0..edae012422 100644 --- a/tests/cli/conftest.py +++ b/tests/cli/conftest.py @@ -28,7 +28,7 @@ """ This file contains the fixtures that are reusable by any tests within -this directory. You don’t need to import the fixtures as pytest will +this directory. You don't need to import the fixtures as pytest will discover them automatically. More info here: https://docs.pytest.org/en/latest/fixture.html """ diff --git a/tests/conftest.py b/tests/conftest.py index 1986eece7b..c44582bdcc 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -28,7 +28,7 @@ """ This file contains the fixtures that are reusable by any tests within -this directory. You don’t need to import the fixtures as pytest will +this directory. You don't need to import the fixtures as pytest will discover them automatically. More info here: https://docs.pytest.org/en/latest/fixture.html """ diff --git a/tests/io/conftest.py b/tests/io/conftest.py index 4225145fcd..d046243084 100644 --- a/tests/io/conftest.py +++ b/tests/io/conftest.py @@ -28,7 +28,7 @@ """ This file contains the fixtures that are reusable by any tests within -this directory. You don’t need to import the fixtures as pytest will +this directory. You don't need to import the fixtures as pytest will discover them automatically. More info here: https://docs.pytest.org/en/latest/fixture.html """ diff --git a/tools/license_and_headers.py b/tools/license_and_headers.py index 921257ef4b..14f1730711 100644 --- a/tools/license_and_headers.py +++ b/tools/license_and_headers.py @@ -27,6 +27,7 @@ # limitations under the License. import glob +import sys PATHS_REQUIRING_HEADER = ["kedro", "tests"] LEGAL_HEADER_FILE = "legal_header.txt" @@ -77,6 +78,17 @@ def files_missing_substring(file_names, substring): if content.strip() and substring not in content: yield file_name + # In some locales Python 3.5 on Windows can't deal with non ascii chars in source files + try: + content.encode("ascii") + except UnicodeError as e: + print( + "Non ascii characters in {} after '{}'".format( + file_name, content[e.start - 30 : e.start] + ) + ) + yield file_name + def main(): exit_code = 0 From c895dca2f50c91c3c5784a04df957787513a1f39 Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Fri, 28 Jun 2019 11:12:46 +0100 Subject: [PATCH 07/83] Loosen pyyaml version lower bound (#110) --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index e6b69621ad..f7fe55cd38 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,7 +1,7 @@ click==6.7 cookiecutter==1.6.0 pandas>=0.23.0, <0.25.0 -PyYAML>=5.1, <6.0 +PyYAML>=4.2, <6.0 tables==3.5.1 pyarrow==0.12.0 SQLAlchemy>=1.2.0, <2.0 From 13363c360fb88a599583698550a36a2079d25744 Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Tue, 2 Jul 2019 14:00:18 +0100 Subject: [PATCH 08/83] Test the package entry point feature (#117) --- features/environment.py | 1 + features/jupyter.feature | 4 ++-- features/package.feature | 6 ++++++ features/steps/cli_steps.py | 37 ++++++++++++++++++++++++++----------- 4 files changed, 35 insertions(+), 13 deletions(-) diff --git a/features/environment.py b/features/environment.py index b191766ec5..36f9c0a21b 100644 --- a/features/environment.py +++ b/features/environment.py @@ -65,6 +65,7 @@ def call(cmd): else: bin_dir = context.venv_dir / "Scripts" path_sep = ";" + context.bin_dir = bin_dir context.pip = str(bin_dir / "pip") context.python = str(bin_dir / "python") context.kedro = str(bin_dir / "kedro") diff --git a/features/jupyter.feature b/features/jupyter.feature index e7ec743504..1bd2b7ba30 100644 --- a/features/jupyter.feature +++ b/features/jupyter.feature @@ -35,9 +35,9 @@ Feature: Jupyter targets in new project And I have executed the kedro command "install" Scenario: Execute jupyter-notebook target - When I execute the kedro jupyter command "jupyter notebook" + When I execute the kedro jupyter command "notebook" Then jupyter notebook should run on port 8888 Scenario: Execute jupyter-lab target - When I execute the kedro jupyter command "jupyter lab" + When I execute the kedro jupyter command "lab" Then Jupyter Lab should run on port 8888 diff --git a/features/package.feature b/features/package.feature index 7a733352e5..d1874ec54f 100644 --- a/features/package.feature +++ b/features/package.feature @@ -37,3 +37,9 @@ Feature: Package target in new project When I execute the kedro command "package" Then I should get a successful exit code And the relevant packages should be created + + Scenario: Install package + Given I have executed the kedro command "package" + And I have installed the project's python package + When I execute the project + Then I should get a successful exit code diff --git a/features/steps/cli_steps.py b/features/steps/cli_steps.py index a9a92f83fe..55ec52f610 100644 --- a/features/steps/cli_steps.py +++ b/features/steps/cli_steps.py @@ -190,11 +190,11 @@ def create_config_file_with_example(context): @given('I have executed the kedro command "{command}"') -def exec_make_target_checked(context, command): - """Execute Makefile target and check the status.""" - make_cmd = [context.kedro] + command.split() +def exec_kedro_target_checked(context, command): + """Execute Kedro command and check the status.""" + cmd = [context.kedro] + command.split() - res = run(make_cmd, env=context.env, cwd=str(context.root_project_dir)) + res = run(cmd, env=context.env, cwd=str(context.root_project_dir)) if res.returncode != OK_EXIT_CODE: print(res.stdout) @@ -230,6 +230,14 @@ def uninstall_package_via_pip(context, package): run([context.pip, "uninstall", "-y", package], env=context.env) +@given("I have installed the project's python package") +def install_project_package_via_pip(context): + """Install a python package using pip.""" + dist_dir = context.root_project_dir / "src" / "dist" + whl_file, = dist_dir.glob("*.whl") + run([context.pip, "install", str(whl_file)], env=context.env) + + @given("I have initialized a git repository") def init_git_repo(context): """Init git repo""" @@ -281,11 +289,18 @@ def commit_changes_to_git(context): @when('I execute the kedro command "{command}"') -def exec_make_target(context, command): - """Execute Makefile target.""" +def exec_kedro_target(context, command): + """Execute Kedro target.""" split_command = command.split() - make_cmd = [context.kedro] + split_command - context.result = run(make_cmd, env=context.env, cwd=str(context.root_project_dir)) + cmd = [context.kedro] + split_command + context.result = run(cmd, env=context.env, cwd=str(context.root_project_dir)) + + +@when("I execute the project") +def exec_project(context): + """Execute installed Kedro project target.""" + cmd = [str(context.bin_dir / context.project_name)] + context.result = run(cmd, env=context.env, cwd=str(context.root_project_dir)) @when('with tags {tags:CSV}, I execute the kedro command "{cmd}"') @@ -320,14 +335,14 @@ def get_kedro_version_python(context): @when('I execute the kedro jupyter command "{command}"') def exec_notebook(context, command): - """Execute Makefile target.""" + """Execute Kedro Jupyter target.""" split_command = command.split() - make_cmd = [context.kedro] + split_command + cmd = [context.kedro, "jupyter"] + split_command # Jupyter notebook forks a child process from a parent process, and # only kills the parent process when it is terminated context.result = ChildTerminatingPopen( - make_cmd + ["--no-browser"], env=context.env, cwd=str(context.root_project_dir) + cmd + ["--no-browser"], env=context.env, cwd=str(context.root_project_dir) ) From 541e30eee1a978e45051c96c3d7f9d2bf9486012 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Tue, 2 Jul 2019 14:46:27 +0100 Subject: [PATCH 09/83] [KED-800] Add KedroContext class (#60) --- RELEASE.md | 1 + docs/source/05_api_docs/kedro.context.rst | 34 +++ docs/source/05_api_docs/kedro.rst | 1 + kedro/context/__init__.py | 2 +- kedro/context/context.py | 186 ++++++++++++- tests/context/test_context.py | 317 ++++++++++++++++++++++ tests/context/test_load_context.py | 70 ----- 7 files changed, 537 insertions(+), 74 deletions(-) create mode 100644 docs/source/05_api_docs/kedro.context.rst create mode 100644 tests/context/test_context.py delete mode 100644 tests/context/test_load_context.py diff --git a/RELEASE.md b/RELEASE.md index d85ef7abb1..7ca70f2fbf 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -1,6 +1,7 @@ # Release 0.15.0 ## Major features and improvements +* Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config). ## Bug fixes and other changes * Documentation improvements diff --git a/docs/source/05_api_docs/kedro.context.rst b/docs/source/05_api_docs/kedro.context.rst new file mode 100644 index 0000000000..bb054b31c4 --- /dev/null +++ b/docs/source/05_api_docs/kedro.context.rst @@ -0,0 +1,34 @@ +kedro.context +============= + +.. rubric:: Description + +.. automodule:: kedro.context + +Base Classes +------------ + +.. autosummary:: + :toctree: + :template: autosummary/class.rst + + kedro.context.KedroContext + +Modules +------- + +.. autosummary:: + :toctree: + :template: autosummary/base.rst + + kedro.context.load_context + + +Errors +------ + +.. autosummary:: + :toctree: + :template: autosummary/class.rst + + kedro.context.KedroContextError diff --git a/docs/source/05_api_docs/kedro.rst b/docs/source/05_api_docs/kedro.rst index 9f7e3b6691..3e6818fef0 100644 --- a/docs/source/05_api_docs/kedro.rst +++ b/docs/source/05_api_docs/kedro.rst @@ -15,5 +15,6 @@ kedro kedro.io kedro.pipeline kedro.runner + kedro.context kedro.contrib kedro.cli diff --git a/kedro/context/__init__.py b/kedro/context/__init__.py index bbbe80575a..e46871d4a6 100644 --- a/kedro/context/__init__.py +++ b/kedro/context/__init__.py @@ -30,4 +30,4 @@ project context. """ -from .context import KedroContextError, load_context # NOQA +from .context import KedroContext, KedroContextError, load_context # NOQA diff --git a/kedro/context/context.py b/kedro/context/context.py index f658c323ac..8a218ececc 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -27,17 +27,193 @@ # limitations under the License. """This module provides context for Kedro project.""" +import abc import importlib +import logging.config import os import sys from pathlib import Path -from typing import Dict, Union +from typing import Any, Dict, Iterable, Union +from warnings import warn + +from kedro.config import ConfigLoader, MissingConfigException +from kedro.io import DataCatalog +from kedro.pipeline import Pipeline +from kedro.runner import AbstractRunner, SequentialRunner _LOADED_PATH = None -class KedroContextError(Exception): - """Error occurred when loading project context.""" +class KedroContext(abc.ABC): + """``KedroContext`` is the base class which holds the configuration and + Kedro's main functionality. Project-specific context class should extend + this abstract class and implement the all abstract methods. + + Attributes: + CONF_ROOT: Name of root directory containing project configuration. + + Example: + :: + + >>> from kedro.context import KedroContext + >>> from kedro.pipeline import Pipeline + >>> + >>> class ProjectContext(KedroContext): + >>> @property + >>> def pipeline(self) -> Pipeline: + >>> return Pipeline([]) + + """ + + CONF_ROOT = "conf" + + def __init__(self, project_path: Union[Path, str], env: str = "local"): + """Create a context object by providing the root of a Kedro project and + the environment configuration subfolders (see ``kedro.config.ConfigLoader``) + + Args: + project_path: Project path to define the context for. + env: Optional argument for configuration default environment to be used + for running the pipeline. Default environment is 'local'. + + """ + self._project_path = Path(project_path).expanduser().resolve() + self.env = env + self._config_loader = self._create_config() + self._setup_logging() + self._catalog = self._create_catalog() + + @property + @abc.abstractmethod + def pipeline(self) -> Pipeline: + """Abstract property for Pipeline getter. + + Returns: + Defined pipeline. + + """ + raise NotImplementedError( + "`{}` is a subclass of KedroContext and it must implement " + "the `pipeline` property".format(self.__class__.__name__) + ) + + @property + def project_path(self) -> Path: + """Read-only property containing Kedro's root project directory. + + Returns: + Project directory. + + """ + return self._project_path + + @property + def catalog(self) -> DataCatalog: + """Read-only property referring to Kedro's ``DataCatalog`` for this context. + + Returns: + DataCatalog defined in `catalog.yml`. + + """ + return self._catalog + + @property + def io(self) -> DataCatalog: + """Read-only alias property referring to Kedro's ``DataCatalog`` for this + context. + + Returns: + DataCatalog defined in `catalog.yml`. + + """ + # pylint: disable=invalid-name + return self._catalog + + def _create_config(self) -> ConfigLoader: + """Load Kedro's configuration at the root of the project. + + Returns: + ConfigLoader which can be queried to access the project config. + + """ + conf_paths = [ + str(self.project_path / self.CONF_ROOT / "base"), + str(self.project_path / self.CONF_ROOT / self.env), + ] + return ConfigLoader(conf_paths) + + def _setup_logging(self) -> None: + """Register logging specified in logging directory.""" + conf_logging = self._config_loader.get("logging*", "logging*/**") + logging.config.dictConfig(conf_logging) + + def _get_feed_dict(self) -> Dict[str, Any]: + """Get parameters and return the feed dictionary.""" + try: + params = self._config_loader.get("parameters*", "parameters*/**") + except MissingConfigException as exc: + warn( + "Parameters not found in your Kedro project config.\n{}".format( + str(exc) + ) + ) + params = None + return {"parameters": params} + + def _get_config_credentials(self) -> Dict[str, Any]: + """Getter for credentials specified in credentials directory.""" + try: + conf_creds = self._config_loader.get("credentials*", "credentials*/**") + except MissingConfigException as exc: + warn( + "Credentials not found in your Kedro project config.\n{}".format( + str(exc) + ) + ) + conf_creds = None + return conf_creds + + def _create_catalog(self) -> DataCatalog: + """Load Kedro's ``DataCatalog`` specified in catalog directory. + + Returns: + DataCatalog defined in `catalog.yml`. + + """ + conf_catalog = self._config_loader.get("catalog*", "catalog*/**") + conf_creds = self._get_config_credentials() + catalog = DataCatalog.from_config(conf_catalog, conf_creds) + catalog.add_feed_dict(self._get_feed_dict()) + return catalog + + def run(self, tags: Iterable[str] = None, runner: AbstractRunner = None) -> None: + """Runs the pipeline with a specified runner. + + Args: + tags: An optional list of node tags which should be used to + filter the nodes of the ``Pipeline``. If specified, only the nodes + containing *any* of these tags will be added to the ``Pipeline``. + runner: An optional parameter specifying the runner that you want to run + the pipeline with. + Raises: + KedroContextError: If the resulting ``Pipeline`` is empty + or incorrect tags are provided. + + """ + # Report project name + logging.info("** Kedro project {}".format(self.project_path.name)) + + # Load the pipeline + pipeline = self.pipeline.only_nodes_with_tags(*tags) if tags else self.pipeline + if not pipeline.nodes: + msg = "Pipeline contains no nodes" + if tags: + msg += " with tags: {}".format(str(tags)) + raise KedroContextError(msg) + + # Run the runner + runner = runner or SequentialRunner() + runner.run(pipeline, self.catalog) def load_context(proj_path: Union[str, Path]) -> Dict: @@ -72,3 +248,7 @@ def load_context(proj_path: Union[str, Path]) -> Dict: _LOADED_PATH = proj_path os.chdir(str(proj_path)) # Move to project root return result + + +class KedroContextError(Exception): + """Error occurred when loading project and running context pipeline.""" diff --git a/tests/context/test_context.py b/tests/context/test_context.py new file mode 100644 index 0000000000..00245c7b58 --- /dev/null +++ b/tests/context/test_context.py @@ -0,0 +1,317 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +import configparser +import json +import os +import sys +from pathlib import Path +from typing import Dict + +import pandas as pd +import pytest +import yaml +from pandas.util.testing import assert_frame_equal + +from kedro.context import KedroContext, KedroContextError, load_context +from kedro.pipeline import Pipeline, node +from kedro.runner import ParallelRunner, SequentialRunner + + +def _get_local_logging_config(): + return { + "version": 1, + "formatters": { + "simple": {"format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s"} + }, + "root": {"level": "INFO", "handlers": ["console"]}, + "loggers": { + "kedro": {"level": "INFO", "handlers": ["console"], "propagate": False} + }, + "handlers": { + "console": { + "class": "logging.StreamHandler", + "level": "INFO", + "formatter": "simple", + "stream": "ext://sys.stdout", + } + }, + } + + +def _write_yaml(filepath: Path, config: Dict): + filepath.parent.mkdir(parents=True, exist_ok=True) + yaml_str = yaml.dump(config) + filepath.write_text(yaml_str) + + +def _write_json(filepath: Path, config: Dict): + filepath.parent.mkdir(parents=True, exist_ok=True) + json_str = json.dumps(config) + filepath.write_text(json_str) + + +def _write_dummy_ini(filepath: Path): + filepath.parent.mkdir(parents=True, exist_ok=True) + config = configparser.ConfigParser() + config["prod"] = {"url": "postgresql://user:pass@url_prod/db"} + config["staging"] = {"url": "postgresql://user:pass@url_staging/db"} + with filepath.open("wt") as configfile: # save + config.write(configfile) + + +@pytest.fixture +def base_config(tmp_path): + cars_filepath = str(tmp_path / "cars.csv") + trains_filepath = str(tmp_path / "trains.csv") + + return { + "trains": {"type": "CSVLocalDataSet", "filepath": trains_filepath}, + "cars": { + "type": "CSVLocalDataSet", + "filepath": cars_filepath, + "save_args": {"index": True}, + }, + } + + +@pytest.fixture +def local_config(tmp_path): + cars_filepath = str(tmp_path / "cars.csv") + boats_filepath = str(tmp_path / "boats.csv") + return { + "cars": { + "type": "CSVLocalDataSet", + "filepath": cars_filepath, + "save_args": {"index": False}, + }, + "boats": {"type": "CSVLocalDataSet", "filepath": boats_filepath}, + } + + +@pytest.fixture(params=[None]) +def env(request): + return request.param + + +@pytest.fixture +def config_dir(tmp_path, base_config, local_config, env): + env = "local" if env is None else env + proj_catalog = tmp_path / "conf" / "base" / "catalog.yml" + env_catalog = tmp_path / "conf" / str(env) / "catalog.yml" + env_credentials = tmp_path / "conf" / str(env) / "credentials.yml" + env_logging = tmp_path / "conf" / str(env) / "logging.yml" + parameters = tmp_path / "conf" / "base" / "parameters.json" + db_config_path = tmp_path / "conf" / "base" / "db.ini" + project_parameters = dict(param1=1, param2=2) + _write_yaml(proj_catalog, base_config) + _write_yaml(env_catalog, local_config) + _write_yaml(env_credentials, local_config) + _write_yaml(env_logging, _get_local_logging_config()) + _write_json(parameters, project_parameters) + _write_dummy_ini(db_config_path) + + +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + +@pytest.fixture(autouse=True) +def restore_cwd(): + cwd_ = os.getcwd() + yield + os.chdir(cwd_) + + +@pytest.fixture +def fake_project(tmp_path): + project = tmp_path / "project" + project.mkdir() + kedro_cli = project / "kedro_cli.py" + script = """ +def __get_kedro_context__(): + return "fake" + """ + kedro_cli.write_text(script, encoding="utf-8") + yield project + + +def identity(input1: str): + return input1 # pragma: no cover + + +class DummyContext(KedroContext): + @property + def pipeline(self) -> Pipeline: + return Pipeline( + [ + node(identity, "cars", "boats", name="node1", tags=["tag1"]), + node(identity, "boats", "trains", name="node2"), + ] + ) + + +@pytest.fixture +def dummy_context(tmp_path, mocker, env): + # Disable logging.config.dictConfig in KedroContext._setup_logging as + # it changes logging.config and affects other unit tests + mocker.patch("logging.config.dictConfig") + if env is None: + return DummyContext(str(tmp_path)) + return DummyContext(str(tmp_path), env) + + +@pytest.mark.usefixtures("config_dir") +class TestKedroContext: + def test_project_path(self, dummy_context, tmp_path): + assert str(dummy_context.project_path) == str(tmp_path.resolve()) + + def test_catalog(self, dummy_context, dummy_dataframe): + dummy_context.catalog.save("cars", dummy_dataframe) + reloaded_df = dummy_context.catalog.load("cars") + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_io(self, dummy_context, dummy_dataframe): + dummy_context.io.save("cars", dummy_dataframe) + reloaded_df = dummy_context.io.load("cars") + assert_frame_equal(reloaded_df, dummy_dataframe) + + def test_default_env(self, dummy_context): + assert dummy_context.env == "local" + + @pytest.mark.parametrize("env", ["custom_env"], indirect=True) + def test_custom_env(self, dummy_context): + assert dummy_context.env == "custom_env" + + def test_missing_parameters(self, tmp_path, mocker): + parameters = tmp_path / "conf" / "base" / "parameters.json" + os.remove(str(parameters)) + + # Disable logging.config.dictConfig in KedroContext._setup_logging as + # it changes logging.config and affects other unit tests + mocker.patch("logging.config.dictConfig") + + with pytest.warns( + UserWarning, match="Parameters not found in your Kedro project config." + ): + DummyContext(str(tmp_path)) + + def test_missing_credentials(self, tmp_path, mocker): + env_credentials = tmp_path / "conf" / "local" / "credentials.yml" + os.remove(str(env_credentials)) + + # Disable logging.config.dictConfig in KedroContext._setup_logging as + # it changes logging.config and affects other unit tests + mocker.patch("logging.config.dictConfig") + + with pytest.warns( + UserWarning, match="Credentials not found in your Kedro project config." + ): + DummyContext(str(tmp_path)) + + def test_pipeline(self, dummy_context): + assert dummy_context.pipeline.nodes[0].inputs == ["cars"] + assert dummy_context.pipeline.nodes[0].outputs == ["boats"] + assert dummy_context.pipeline.nodes[1].inputs == ["boats"] + assert dummy_context.pipeline.nodes[1].outputs == ["trains"] + + def test_default_run(self, dummy_context, dummy_dataframe, caplog): + dummy_context.catalog.save("cars", dummy_dataframe) + dummy_context.run() + + log_msgs = [record.getMessage() for record in caplog.records] + log_names = [record.name for record in caplog.records] + + assert "kedro.runner.sequential_runner" in log_names + assert "Pipeline execution completed successfully." in log_msgs + + def test_sequential_run_arg(self, dummy_context, dummy_dataframe, caplog): + dummy_context.catalog.save("cars", dummy_dataframe) + dummy_context.run(runner=SequentialRunner()) + + log_msgs = [record.getMessage() for record in caplog.records] + log_names = [record.name for record in caplog.records] + assert "kedro.runner.sequential_runner" in log_names + assert "Pipeline execution completed successfully." in log_msgs + + def test_parallel_run_arg(self, dummy_context, dummy_dataframe, caplog): + dummy_context.catalog.save("cars", dummy_dataframe) + dummy_context.run(runner=ParallelRunner()) + + log_msgs = [record.getMessage() for record in caplog.records] + log_names = [record.name for record in caplog.records] + assert "kedro.runner.parallel_runner" in log_names + assert "Pipeline execution completed successfully." in log_msgs + + def test_run_with_tags(self, dummy_context, dummy_dataframe, caplog): + dummy_context.catalog.save("cars", dummy_dataframe) + dummy_context.run(tags=["tag1"]) + log_msgs = [record.getMessage() for record in caplog.records] + + assert "Completed 1 out of 1 tasks" in log_msgs + assert "Running node: node1: identity([cars]) -> [boats]" in log_msgs + assert "Running node: node2: identity([boats]) -> [trains]" not in log_msgs + assert "Pipeline execution completed successfully." in log_msgs + + def test_run_with_wrong_tags(self, dummy_context, dummy_dataframe): + dummy_context.catalog.save("cars", dummy_dataframe) + pattern = r"Pipeline contains no nodes with tags\: \['non\-existent'\]" + with pytest.raises(KedroContextError, match=pattern): + dummy_context.run(tags=["non-existent"]) + + @pytest.mark.filterwarnings("ignore") + def test_run_with_empty_pipeline(self, tmp_path, mocker): + class DummyContext(KedroContext): + @property + def pipeline(self) -> Pipeline: + return Pipeline([]) + + mocker.patch("logging.config.dictConfig") + dummy_context = DummyContext(str(tmp_path)) + + pattern = "Pipeline contains no nodes" + with pytest.raises(KedroContextError, match=pattern): + dummy_context.run() + + +def test_load_context(fake_project, tmp_path): + """Test getting project context""" + result = load_context(str(fake_project)) + assert result == "fake" + assert str(fake_project.resolve()) in sys.path + assert os.getcwd() == str(fake_project.resolve()) + + other_path = tmp_path / "other" + other_path.mkdir() + pattern = ( + "Cannot load context for `{}`, since another project " + "`.*` has already been loaded".format(other_path.resolve()) + ) + with pytest.raises(KedroContextError, match=pattern): + load_context(str(other_path)) diff --git a/tests/context/test_load_context.py b/tests/context/test_load_context.py deleted file mode 100644 index c5f5544f17..0000000000 --- a/tests/context/test_load_context.py +++ /dev/null @@ -1,70 +0,0 @@ -# Copyright 2018-2019 QuantumBlack Visual Analytics Limited -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, -# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES -# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND -# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS -# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN -# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN -# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. -# -# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo -# (either separately or in combination, "QuantumBlack Trademarks") are -# trademarks of QuantumBlack. The License does not grant you any right or -# license to the QuantumBlack Trademarks. You may not use the QuantumBlack -# Trademarks or any confusingly similar mark as a trademark for your product, -# or use the QuantumBlack Trademarks in any other manner that might cause -# confusion in the marketplace, including but not limited to in advertising, -# on websites, or on software. -# -# See the License for the specific language governing permissions and -# limitations under the License. -import os -import sys - -import pytest - -from kedro.context import KedroContextError, load_context - - -@pytest.fixture(autouse=True) -def restore_cwd(): - cwd_ = os.getcwd() - yield - os.chdir(cwd_) - - -@pytest.fixture -def fake_project(tmp_path): - project = tmp_path / "project" - project.mkdir() - kedro_cli = project / "kedro_cli.py" - script = """ -def __get_kedro_context__(): - return "fake" - """ - kedro_cli.write_text(script, encoding="utf-8") - yield project - - -def test_load(fake_project, tmp_path): - """Test getting project context""" - result = load_context(str(fake_project)) - assert result == "fake" - assert str(fake_project.resolve()) in sys.path - assert os.getcwd() == str(fake_project.resolve()) - - other_path = tmp_path / "other" - other_path.mkdir() - pattern = ( - "Cannot load context for `{}`, since another project " - "`.*` has already been loaded".format(other_path.resolve()) - ) - with pytest.raises(KedroContextError, match=pattern): - load_context(str(other_path)) From c96e5cbfc2c4071d863bb4873bb8589704e94551 Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Tue, 2 Jul 2019 16:04:06 +0100 Subject: [PATCH 10/83] Do capitalisation etc on node short names (#116) --- kedro/pipeline/node.py | 5 ++++- tests/pipeline/test_node.py | 6 +++--- 2 files changed, 7 insertions(+), 4 deletions(-) diff --git a/kedro/pipeline/node.py b/kedro/pipeline/node.py index c35fe8d989..b925aaded2 100644 --- a/kedro/pipeline/node.py +++ b/kedro/pipeline/node.py @@ -230,7 +230,10 @@ def short_name(self) -> str: Returns: Returns a short user-friendly name that is not guaranteed to be unique. """ - return self._name or self._func_name + if self._name: + return self._name + + return self._func_name.replace("_", " ").title() @property def inputs(self) -> List[str]: diff --git a/tests/pipeline/test_node.py b/tests/pipeline/test_node.py index 2c9503a9f9..f5c6396a50 100644 --- a/tests/pipeline/test_node.py +++ b/tests/pipeline/test_node.py @@ -372,16 +372,16 @@ def test_function(self): n = node(identity, ["in"], ["out"]) assert str(n) == "identity([in]) -> [out]" assert n.name == "identity([in]) -> [out]" - assert n.short_name == "identity" + assert n.short_name == "Identity" def test_lambda(self): n = node(lambda a: a, ["in"], ["out"]) assert str(n) == "([in]) -> [out]" assert n.name == "([in]) -> [out]" - assert n.short_name == "" + assert n.short_name == "" def test_partial(self): n = node(partial(identity), ["in"], ["out"]) assert str(n) == "([in]) -> [out]" assert n.name == "([in]) -> [out]" - assert n.short_name == "" + assert n.short_name == "" From 0f559a33285d7e7407efa23ddf1ef37a0f01330c Mon Sep 17 00:00:00 2001 From: Yetunde Dada <43755008+yetudada@users.noreply.github.com> Date: Tue, 2 Jul 2019 11:33:29 -0400 Subject: [PATCH 11/83] Remove requirement to make users add labels on issues (#120) --- .github/ISSUE_TEMPLATE/bug-report.md | 7 ------- .github/ISSUE_TEMPLATE/feature-request.md | 6 ------ .github/PULL_REQUEST_TEMPLATE.md | 1 - 3 files changed, 14 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/bug-report.md b/.github/ISSUE_TEMPLATE/bug-report.md index 47e5e27b70..f160b0e844 100644 --- a/.github/ISSUE_TEMPLATE/bug-report.md +++ b/.github/ISSUE_TEMPLATE/bug-report.md @@ -14,7 +14,6 @@ Short description of the problem here. How has this bug affected you? What were you trying to accomplish? ## Steps to Reproduce - 1. [First Step] 2. [Second Step] 3. [and so on...] @@ -39,9 +38,3 @@ Include as many relevant details about the environment in which you experienced * Kedro version used (`pip show kedro` or `kedro -V`): * Python version used (`python -V`): * Operating system and version: - -## Checklist -Include labels so that we can categorise your issue: - -- [ ] Add a "Component" label to the issue -- [ ] Add a "Priority" label to the issue diff --git a/.github/ISSUE_TEMPLATE/feature-request.md b/.github/ISSUE_TEMPLATE/feature-request.md index 5f125b2353..035dfff328 100644 --- a/.github/ISSUE_TEMPLATE/feature-request.md +++ b/.github/ISSUE_TEMPLATE/feature-request.md @@ -18,9 +18,3 @@ Why is this change important to you? How would you use it? How can it benefit ot ## Possible Alternatives (Optional) Describe any alternative solutions or features you've considered. - -## Checklist -Include labels so that we can categorise your issue: - -- [ ] Add a "Component" label to the issue -- [ ] Add a "Priority" label to the issue diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index 5fdf3ea7a3..92f77d511c 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -20,4 +20,3 @@ What testing strategies have you used? - [ ] Added new entries to the `RELEASE.md` file - [ ] Added tests to cover my changes - [ ] Assigned myself to the PR -- [ ] Added `Type` label to the PR From d8e60b8e57427c1b831e44e998760eaf1832f62f Mon Sep 17 00:00:00 2001 From: Yetunde Dada <43755008+yetudada@users.noreply.github.com> Date: Tue, 2 Jul 2019 13:16:01 -0400 Subject: [PATCH 12/83] [KED-854] Modifications to plugin documentation (#109) --- CONTRIBUTING.md | 15 ++---------- .../04_user_guide/09_developing_plugins.md | 24 +++++++++++++++++++ 2 files changed, 26 insertions(+), 13 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 5b66d7a8e5..c36f457ce9 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -35,7 +35,7 @@ If you're unsure where to begin contributing to Kedro, please start by looking t We focus on three areas for contribution: `core`, [`contrib`](/kedro/contrib/) or `plugin`: - `core` refers to the primary Kedro library - [`contrib`](/kedro/contrib/) refers to features that could be added to `core` that do not introduce too many depencies or require new Kedro CLI commands to be created e.g. adding a new dataset to the `io` data management module -- `plugin` refers to new functionality that requires a Kedro CLI command e.g. adding in Airflow functionality +- [`plugin`](https://kedro.readthedocs.io/en/latest/04_user_guide/09_developing_plugins.html) refers to new functionality that requires a Kedro CLI command e.g. adding in Airflow functionality Typically, we only accept small contributions for the `core` Kedro library but accept new features as `plugin`s or additions to the [`contrib`](/kedro/contrib/) module. We regularly review [`contrib`](/kedro/contrib/) and may migrate modules to `core` if they prove to be essential for the functioning of the framework or if we believe that they are used by most projects. @@ -98,18 +98,7 @@ You can add new work to `contrib` if you do not need to create a new Kedro CLI c ## `plugin` contribution process -The functionality of Kedro can be extended using its `plugin` framework, which is designed to reduce the complexity involved in creating new features for Kedro while allowing you to inject additional commands into the CLI. See the [`plugin` development documentation](https://kedro.readthedocs.io/en/latest/04_user_guide/09_developing_plugins.html) for guidance on how to design and develop a Kedro `plugin`. - -When you are ready to submit your code: - - 1. Create a separate repository using our naming convention for `plugin`s (`kedro-`) - 2. Choose a command approach, plugins can have `global` and / or `project` commands - - All `global` commands should be provided as a single `click` group - - All `project` commands should be provided as another `click` group - - - The `click` groups are declared through the [`pkg_resources` entry_point system](https://setuptools.readthedocs.io/en/latest/setuptools.html#dynamic-discovery-of-services-and-plugins) - 3. Include a `README.md` describing your `plugin`'s functionality and all dependencies that should be included - 4. Include an Apache 2.0 License +See the [`plugin` development documentation](https://kedro.readthedocs.io/en/latest/04_user_guide/09_developing_plugins.html) for guidance on how to design and develop a Kedro `plugin`. ## CI / CD and running checks locally To run E2E tests you need to install the test requirements which includes `behave`, do this using the following command: diff --git a/docs/source/04_user_guide/09_developing_plugins.md b/docs/source/04_user_guide/09_developing_plugins.md index acf4306243..657b1da3a3 100644 --- a/docs/source/04_user_guide/09_developing_plugins.md +++ b/docs/source/04_user_guide/09_developing_plugins.md @@ -2,6 +2,8 @@ > *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +The functionality of Kedro can be extended using its `plugin` framework, which is designed to reduce the complexity involved in creating new features for Kedro while allowing you to inject additional commands into the CLI. Plugins are developed as separate Python packages that exist outside of any Kedro project. + ## Overview Kedro uses various entry points in the [`pkg_resources` entry_point system](https://setuptools.readthedocs.io/en/latest/setuptools.html#dynamic-discovery-of-services-and-plugins) to provide plugin functionality. @@ -29,12 +31,30 @@ Plugins may also add commands to the Kedro CLI, which supports two types of comm Global commands use the `entry_point` key `kedro.global_commands`. Project commands use the `entry_point` key `kedro.project_commands`. +### Suggested command convention + +We use the following command convention: `kedro `. With `kedro ` acting as a top-level command group. Note, this is a suggested way of structuring your plugin and is not necessary for your plugin to work. + ## Working with `click` Commands must be provided as [`click` `Groups`](https://click.palletsprojects.com/en/7.x/api/#click.Group) The `click` `Group` will be merged into the main CLI Group. In the process, the options on the group are lost, as is any processing that was done as part of its callback function. +## Contributing process + +When you are ready to submit your code: + + 1. Create a separate repository using our naming convention for `plugin`s (`kedro-`) + 2. Choose a command approach, plugins can have `global` and / or `project` commands + - All `global` commands should be provided as a single `click` group + - All `project` commands should be provided as another `click` group + - The `click` groups are declared through the [`pkg_resources` entry_point system](https://setuptools.readthedocs.io/en/latest/setuptools.html#dynamic-discovery-of-services-and-plugins) + 3. Include a `README.md` describing your `plugin`'s functionality and all dependencies that should be included + 4. Use GitHub tagging to tag your plugin as a `kedro-plugin` so that we can find it + +>*Note:* In future, we will feature a list of "Plugins by Contributors". Your plugin needs to have an [Apache 2.0 compatible license](https://www.apache.org/legal/resolved.html#category-a) to be considered for this list. + ## Example of a simple plugin A simple plugin that prints the pipeline as JSON might look like: @@ -70,3 +90,7 @@ Once the plugin is installed, you can run it as follows: ```bash kedro to_json ``` + +## Supported plugins + +- [Kedro-Docker](https://github.com/quantumblacklabs/kedro-docker), a tool for packaging and shipping Kedro projects within containers From c950f72c79d1ad8aaf774b2053fe5c31241ec42b Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Wed, 3 Jul 2019 15:31:01 +0100 Subject: [PATCH 13/83] Fix concurrency issue in tests (#121) --- kedro/runner/parallel_runner.py | 8 +++++--- tests/runner/test_parallel_runner.py | 29 +++++++++++++--------------- 2 files changed, 18 insertions(+), 19 deletions(-) diff --git a/kedro/runner/parallel_runner.py b/kedro/runner/parallel_runner.py index 75b8c547ac..3bcf50f193 100644 --- a/kedro/runner/parallel_runner.py +++ b/kedro/runner/parallel_runner.py @@ -32,7 +32,7 @@ from collections import Counter from concurrent.futures import FIRST_COMPLETED, ProcessPoolExecutor, wait from itertools import chain -from multiprocessing.managers import BaseManager, BaseProxy +from multiprocessing.managers import BaseProxy, SyncManager from multiprocessing.reduction import ForkingPickler from pickle import PicklingError from typing import Iterable @@ -43,7 +43,7 @@ from kedro.runner.runner import AbstractRunner, run_node -class ParallelRunnerManager(BaseManager): +class ParallelRunnerManager(SyncManager): """``ParallelRunnerManager`` is used to create shared ``MemoryDataSet`` objects as default data sets in a pipeline. """ @@ -51,7 +51,9 @@ class ParallelRunnerManager(BaseManager): pass -ParallelRunnerManager.register("MemoryDataSet", MemoryDataSet) +ParallelRunnerManager.register( # pylint: disable=no-member + "MemoryDataSet", MemoryDataSet +) class ParallelRunner(AbstractRunner): diff --git a/tests/runner/test_parallel_runner.py b/tests/runner/test_parallel_runner.py index bc8a132870..c13aff401d 100644 --- a/tests/runner/test_parallel_runner.py +++ b/tests/runner/test_parallel_runner.py @@ -28,7 +28,6 @@ # pylint: disable=no-member -from multiprocessing import Manager from multiprocessing.managers import BaseProxy from typing import Any, Dict @@ -202,28 +201,30 @@ def __init__(self, log, name, value=None): self.value = value def _load(self) -> Any: - self.log["log"] += [("load", self.name)] + self.log.append(("load", self.name)) return self.value def _save(self, data: Any) -> None: self.value = data def _release(self) -> None: - self.log["log"] += [("release", self.name)] + self.log.append(("release", self.name)) self.value = None def _describe(self) -> Dict[str, Any]: return {} -ParallelRunnerManager.register("LoggingDataSet", LoggingDataSet) +ParallelRunnerManager.register( # pylint: disable=no-member + "LoggingDataSet", LoggingDataSet +) class TestParallelRunnerRelease: def test_dont_release_inputs_and_outputs(self): manager = ParallelRunnerManager() manager.start() - log = Manager().dict(log=[]) + log = manager.list() pipeline = Pipeline( [node(identity, "in", "middle"), node(identity, "middle", "out")] @@ -238,12 +239,12 @@ def test_dont_release_inputs_and_outputs(self): ParallelRunner().run(pipeline, catalog) # we don't want to see release in or out in here - assert log["log"] == [("load", "in"), ("load", "middle"), ("release", "middle")] + assert list(log) == [("load", "in"), ("load", "middle"), ("release", "middle")] def test_release_at_earliest_opportunity(self): manager = ParallelRunnerManager() manager.start() - log = Manager().dict(log=[]) + log = manager.list() pipeline = Pipeline( [ @@ -261,7 +262,7 @@ def test_release_at_earliest_opportunity(self): ParallelRunner().run(pipeline, catalog) # we want to see "release first" before "load second" - assert log["log"] == [ + assert list(log) == [ ("load", "first"), ("release", "first"), ("load", "second"), @@ -271,7 +272,7 @@ def test_release_at_earliest_opportunity(self): def test_count_multiple_loads(self): manager = ParallelRunnerManager() manager.start() - log = Manager().dict(log=[]) + log = manager.list() pipeline = Pipeline( [ @@ -284,7 +285,7 @@ def test_count_multiple_loads(self): ParallelRunner().run(pipeline, catalog) # we want to the release after both the loads - assert log["log"] == [ + assert list(log) == [ ("load", "dataset"), ("load", "dataset"), ("release", "dataset"), @@ -293,7 +294,7 @@ def test_count_multiple_loads(self): def test_release_transcoded(self): manager = ParallelRunnerManager() manager.start() - log = Manager().dict(log=[]) + log = manager.list() pipeline = Pipeline( [node(source, None, "ds@save"), node(sink, "ds@load", None)] @@ -308,8 +309,4 @@ def test_release_transcoded(self): ParallelRunner().run(pipeline, catalog) # we want to see both datasets being released - assert log["log"] == [ - ("release", "save"), - ("load", "load"), - ("release", "load"), - ] + assert list(log) == [("release", "save"), ("load", "load"), ("release", "load")] From b3a600250c5cc0a6821c4281d76da2f211b3e086 Mon Sep 17 00:00:00 2001 From: awqb <44159007+awqb@users.noreply.github.com> Date: Fri, 5 Jul 2019 10:31:12 +0100 Subject: [PATCH 14/83] Change links in tutorial to point at raw content (#28) --- RELEASE.md | 2 +- docs/source/03_tutorial/03_set_up_data.md | 20 +++++++++++++++++--- 2 files changed, 18 insertions(+), 4 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 7ca70f2fbf..ebd9f13d44 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -9,7 +9,7 @@ ## Breaking changes to the API ## Thanks for supporting contributions -[Kiyohito Kunii](https://github.com/921kiyo), [Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury) +[Kiyohito Kunii](https://github.com/921kiyo), [Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb) # Release 0.14.3 diff --git a/docs/source/03_tutorial/03_set_up_data.md b/docs/source/03_tutorial/03_set_up_data.md index 1d3dcf2cda..d20c0629e3 100644 --- a/docs/source/03_tutorial/03_set_up_data.md +++ b/docs/source/03_tutorial/03_set_up_data.md @@ -14,9 +14,23 @@ This tutorial will make use of fictional datasets for spaceflight companies shut The spaceflight tutorial has three files and uses two data formats: `.csv` and `.xlsx`. Download and save the files to the `data/01_raw/` folder of your project directory: -* [reviews.csv](https://github.com/quantumblacklabs/kedro/tree/develop/docs/source/03_tutorial/data/reviews.csv) -* [companies.csv](https://github.com/quantumblacklabs/kedro/tree/develop/docs/source/03_tutorial/data/companies.csv) -* [shuttles.xlsx](https://github.com/quantumblacklabs/kedro/tree/develop/docs/source/03_tutorial/data/shuttles.xlsx) +* [reviews.csv](https://raw.githubusercontent.com/quantumblacklabs/kedro/develop/docs/source/03_tutorial/data/reviews.csv) +* [companies.csv](https://raw.githubusercontent.com/quantumblacklabs/kedro/develop/docs/source/03_tutorial/data/companies.csv) +* [shuttles.xlsx](https://github.com/quantumblacklabs/kedro/blob/develop/docs/source/03_tutorial/data/shuttles.xlsx?raw=true) + +You can [download the files from GitHub](https://www.quora.com/How-do-I-download-something-from-GitHub) using [cURL](https://curl.haxx.se/download.html) or [Wget](https://www.gnu.org/software/wget/). + +An example of downloading [reviews.csv](https://raw.githubusercontent.com/quantumblacklabs/kedro/develop/docs/source/03_tutorial/data/reviews.csv) to your current directory is done by running this in your terminal or command line: + +```bash +curl -O https://raw.githubusercontent.com/quantumblacklabs/kedro/develop/docs/source/03_tutorial/data/reviews.csv +``` + +Or through using Wget: + +```bash +wget https://raw.githubusercontent.com/quantumblacklabs/kedro/develop/docs/source/03_tutorial/data/reviews.csv +``` ## Reference all datasets From 444170b036b9559c5c149a74c94ccf39e5e3baec Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Mon, 8 Jul 2019 15:45:16 +0100 Subject: [PATCH 15/83] [KED-809] Convert jupyter cells to nodes (#93) --- RELEASE.md | 10 +- .../06_resources/02_commands_reference.md | 3 + kedro/cli/utils.py | 45 ++++- .../{{ cookiecutter.repo_name }}/README.md | 15 ++ .../{{ cookiecutter.repo_name }}/kedro_cli.py | 94 +++++++++- tests/cli/test_cli.py | 161 ++++++++++++++++-- 6 files changed, 298 insertions(+), 30 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index ebd9f13d44..5df8537a38 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -1,6 +1,7 @@ # Release 0.15.0 ## Major features and improvements +* Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter notebook cells into Kedro nodes. * Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config). ## Bug fixes and other changes @@ -9,7 +10,7 @@ ## Breaking changes to the API ## Thanks for supporting contributions -[Kiyohito Kunii](https://github.com/921kiyo), [Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb) +[Dmitry Vukolov](https://github.com/dvukolov), [Angus Williams](https://github.com/awqb) # Release 0.14.3 @@ -30,7 +31,7 @@ * Remove the max_loads argument from the `MemoryDataSet` constructor and from the `AbstractRunner.create_default_data_set` method. ## Thanks for supporting contributions -[Nikolaos Tsaousis](https://github.com/tsanikgr), [Ivan Danov](https://github.com/idanov), [Gordon Wrigley](https://github.com/tolomea), [Yetunde Dada](https://github.com/yetudada), [Kiyohito Kunii](https://github.com/921kiyo), [Lorena Balan](https://github.com/lorenabalan), [Richard Westenra](https://github.com/richardwestenra), [Dmitrii Deriabin](https://github.com/DmitryDeryabin), [Joel Schwarzmann](https://github.com/datajoely), [Alex Kalmikov](https://github.com/kalexqb) +[Joel Schwarzmann](https://github.com/datajoely), [Alex Kalmikov](https://github.com/kalexqb) # Release 0.14.2 @@ -44,7 +45,7 @@ ## Thanks for supporting contributions -[Nikolaos Tsaousis](https://github.com/tsanikgr), [Ivan Danov](https://github.com/idanov), [Gordon Wrigley](https://github.com/tolomea), [Yetunde Dada](https://github.com/yetudada), [Kiyohito Kunii](https://github.com/921kiyo), [Lorena Balan](https://github.com/lorenabalan), [Richard Westenra](https://github.com/richardwestenra), [Darren Gallagher](https://github.com/dazzag24), [Zain Patel](https://github.com/mzjp2) +[Darren Gallagher](https://github.com/dazzag24), [Zain Patel](https://github.com/mzjp2) # Release 0.14.1 @@ -59,9 +60,6 @@ ## Breaking changes to the API None -## Thanks for supporting contributions - -[Nikolaos Tsaousis](https://github.com/tsanikgr), [Ivan Danov](https://github.com/idanov), [Dmitrii Deriabin](https://github.com/DmitryDeryabin), [Gordon Wrigley](https://github.com/tolomea), [Nasef Khan](https://github.com/nakhan98), [Kiyohito Kunii](https://github.com/921kiyo), [Lorena Balan](https://github.com/lorenabalan), [Richard Westenra](https://github.com/richardwestenra) # Release 0.14.0: diff --git a/docs/source/06_resources/02_commands_reference.md b/docs/source/06_resources/02_commands_reference.md index 502a582e11..a957378828 100644 --- a/docs/source/06_resources/02_commands_reference.md +++ b/docs/source/06_resources/02_commands_reference.md @@ -83,6 +83,9 @@ To reload these at any point in your notebook (e.g. if you updated `catalog.yml` This [line magic](https://ipython.readthedocs.io/en/stable/interactive/magics.html#line-magics) can be also used to see the error message if any of the variables above are undefined. +### `kedro jupyter convert` +Copy the code from cells [tagged](https://jupyter-notebook.readthedocs.io/en/stable/changelog.html#cell-tags) with `node` tag into Python files under `src//nodes/` in a Kedro project. + ### `kedro activate-nbstripout` Typically output cells of Jupyter Notebook should not be tracked by git, especially if they contain sensitive information. diff --git a/kedro/cli/utils.py b/kedro/cli/utils.py index b61b93a079..2f4e158b54 100644 --- a/kedro/cli/utils.py +++ b/kedro/cli/utils.py @@ -27,20 +27,23 @@ # limitations under the License. """Utilities for use with click.""" - +import json import re import shlex import subprocess import sys from itertools import chain from pathlib import Path -from typing import List, Tuple, Union +from typing import Any, Dict, List, Tuple, Union +from warnings import warn import click from click import ClickException, style CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"]) +NODE_TAG = "node" + def call(cmd, **kwargs): # pragma: no cover """Run a subprocess command and exit if it fails.""" @@ -55,6 +58,44 @@ def python_call(module, arguments, **kwargs): # pragma: no cover call([sys.executable, "-m", module] + list(arguments), **kwargs) +def _append_source_code(cell: Dict[str, Any], path: Path) -> None: + source_code = "".join(cell["source"]).strip() + "\n" + with path.open(mode="a") as file_: + file_.write(source_code) + + +def export_nodes(filepath: Path, output_path: Path) -> None: + """Copy code from Jupyter cells into nodes in src//nodes/, + under filename with same name as notebook. + + Args: + filepath: Path to Jupyter notebook file + output_path: Path where notebook cells' source code will be exported + Raises: + KedroCliError: When provided a filepath that cannot be read as a + Jupyer notebook and loaded into json format. + """ + try: + content = json.loads(filepath.read_text()) + except json.JSONDecodeError: + raise KedroCliError( + "Provided filepath is not a Jupyter notebook: {}".format(filepath) + ) + + cells = [ + cell + for cell in content["cells"] + if cell["cell_type"] == "code" and NODE_TAG in cell["metadata"].get("tags", {}) + ] + + if cells: + output_path.write_text("") + for cell in cells: + _append_source_code(cell, output_path) + else: + warn("Skipping notebook '{}' - no nodes to export.".format(filepath)) + + def forward_command(group, name=None, forward_help=False): """A command that receives the rest of the command line as 'args'.""" diff --git a/kedro/template/{{ cookiecutter.repo_name }}/README.md b/kedro/template/{{ cookiecutter.repo_name }}/README.md index 81cc86bad0..aeb207510b 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/README.md +++ b/kedro/template/{{ cookiecutter.repo_name }}/README.md @@ -83,6 +83,21 @@ kedro ipython Running Jupyter or IPython this way provides the following variables in scope: `proj_dir`, `proj_name`, `conf`, `io`, `parameters` and `startup_error`. +#### Converting notebook cells to nodes in a Kedro project + +Once you are happy with a notebook, you may want to move your code over into the Kedro project structure for the next stage in your development. This is done through a mixture of [cell tagging](https://jupyter-notebook.readthedocs.io/en/stable/changelog.html#cell-tags) and Kedro CLI commands. + +By adding the `node` tag to a cell and running the command below, the cell's source code will be copied over to a Python file within `src//nodes/`. +``` +kedro jupyter convert +``` +> *Note:* The name of the Python file matches the name of the original notebook. + +Alternatively, you may want to transform all your notebooks in one go. To this end, you can run the following command to convert all notebook files found in the project root directory and under any of its sub-folders. +``` +kedro jupyter convert --all +``` + #### Ignoring notebook output cells in `git` In order to automatically strip out all output cell contents before committing to `git`, you can run `kedro activate-nbstripout`. This will add a hook in `.git/config` which will run `nbstripout` before anything is committed to `git`. diff --git a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py index c28e9f3b32..79acc3bda3 100755 --- a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py @@ -33,12 +33,14 @@ import shutil import subprocess import sys +from collections import Counter +from glob import iglob from pathlib import Path import click from click import secho, style -from kedro.cli import main as kernalai_main -from kedro.cli.utils import KedroCliError, call, forward_command, python_call +from kedro.cli import main as kedro_main +from kedro.cli.utils import KedroCliError, call, forward_command, python_call, export_nodes CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"]) @@ -56,22 +58,18 @@ src/requirements.txt and run `kedro install`. """ - NO_NBSTRIPOUT_MESSAGE = """ nbstripout is not installed. Please make sure nbstripout is in `src/requirements.txt` and run `kedro install`. """ - TAG_ARG_HELP = """Construct the pipeline using only nodes which have this tag attached. Option can be used multiple times, what results in a pipeline constructed from nodes having any of those tags.""" - ENV_ARG_HELP = """Run the pipeline in a configured environment. If not specified, pipeline will run using environment `local`.""" - PARALLEL_ARG_HELP = """Run the pipeline using the `ParallelRunner`. If not specified, use the `SequentialRunner`. This flag cannot be used together with --runner.""" @@ -79,6 +77,12 @@ RUNNER_ARG_HELP = """Specify a runner that you want to run the pipeline with. This option cannot be used together with --parallel.""" +CONVERT_ALL_HELP = """Extract the nodes from all notebooks in the Kedro project directory, +including sub-folders.""" + +OVERWRITE_HELP = """If Python file already exists for the equivalent notebook, +overwrite its contents.""" + def __get_kedro_context__(): """Used to provide this project's context to plugins.""" @@ -195,7 +199,9 @@ def activate_nbstripout(): @cli.group() def jupyter(): - """Open Jupyter Notebook / Lab with project specific variables loaded.""" + """Open Jupyter Notebook / Lab with project specific variables loaded, or + convert notebooks into Kedro code. + """ @forward_command(jupyter, "notebook", forward_help=True) @@ -216,6 +222,78 @@ def jupyter_lab(ip, args): call(["jupyter-lab", "--ip=" + ip] + list(args)) +@jupyter.command("convert") +@click.option("--all", "all_flag", is_flag=True, help=CONVERT_ALL_HELP) +@click.option("-y", "overwrite_flag", is_flag=True, help=OVERWRITE_HELP) +@click.argument( + "filepath", + type=click.Path(exists=True, dir_okay=False, resolve_path=True), + required=False, + nargs=-1, +) +def convert_notebook(all_flag, overwrite_flag, filepath): + """Convert selected or all notebooks found in a Kedro project + to Kedro code, by exporting code from the appropriately-tagged cells: + + Cells tagged as `node` will be copied over to a Python file matching + the name of the notebook, under `src//nodes`. + *Note*: Make sure your notebooks have unique names! + + FILEPATH: Path(s) to exact notebook file(s) to be converted. Both + relative and absolute paths are accepted. + Should not be provided if --all flag is already present. + + """ + if not filepath and not all_flag: + secho( + "Please specify a notebook filepath " + "or add '--all' to convert all notebooks." + ) + return + + kedro_project_path = __get_kedro_context__()["project_path"] + kedro_package_name = "{{cookiecutter.python_package}}" + + if all_flag: + # pathlib glob does not ignore hidden directories, + # whereas Python glob does, which is more useful in + # ensuring checkpoints will not be included + pattern = kedro_project_path / "**" / "*.ipynb" + notebooks = sorted(Path(p) for p in iglob(str(pattern), recursive=True)) + else: + notebooks = [Path(f) for f in filepath] + + counter = Counter(n.stem for n in notebooks) + non_unique_names = [name for name, counts in counter.items() if counts > 1] + if non_unique_names: + raise KedroCliError( + "Found non-unique notebook names! " + "Please rename the following: {}".format(", ".join(non_unique_names)) + ) + + for notebook in notebooks: + secho("Converting notebook '{}'...".format(str(notebook))) + output_path = ( + kedro_project_path + / "src" + / kedro_package_name + / "nodes" + / "{}.py".format(notebook.stem) + ) + + if output_path.is_file(): + overwrite = overwrite_flag or click.confirm( + "Output file {} already exists. Overwrite?".format(str(output_path)), + default=False, + ) + if overwrite: + export_nodes(notebook, output_path) + else: + export_nodes(notebook, output_path) + + secho("Done!") + + def ipython_message(): """Show a message saying how we have configured the IPython env.""" ipy_vars = ["proj_dir", "proj_name", "io", "startup_error"] @@ -233,4 +311,4 @@ def ipython_message(): if __name__ == "__main__": os.chdir(str(PROJ_PATH)) - kernalai_main() + kedro_main() diff --git a/tests/cli/test_cli.py b/tests/cli/test_cli.py index 166935e7e9..10f99dd165 100644 --- a/tests/cli/test_cli.py +++ b/tests/cli/test_cli.py @@ -25,22 +25,26 @@ # # See the License for the specific language governing permissions and # limitations under the License. - +import json from os.path import join +from pathlib import Path import click from mock import patch -from pytest import fixture, mark, raises +from pytest import fixture, mark, raises, warns from kedro import __version__ as version from kedro.cli.cli import cli from kedro.cli.utils import ( CommandCollection, KedroCliError, + export_nodes, forward_command, get_pkg_version, ) +PACKAGE_NAME = "my_project" + @click.group() def stub_cli(): @@ -69,6 +73,19 @@ def invoke_result(cli_runner, request): return cli_runner.invoke(cmd_collection, request.param) +@fixture +def project_path(tmp_path): + temp = Path(str(tmp_path)) + return Path(temp / "some/path/to/my_project") + + +@fixture +def nodes_path(project_path): + path = project_path / "src" / PACKAGE_NAME / "nodes" + path.mkdir(parents=True) + return path + + @fixture def requirements_file(tmp_path): body = "\n".join(["SQLAlchemy>=1.2.0, <2.0", "pandas==0.23.0", "toposort"]) + "\n" @@ -190,15 +207,131 @@ def test_forwarded_help(self, cli_runner): assert "forwarded_help" not in result.output -def test_get_pkg_version(requirements_file): - """Test get_pkg_version(), which extracts package version - from the provided requirements file.""" - sa_version = "SQLAlchemy>=1.2.0, <2.0" - assert get_pkg_version(requirements_file, "SQLAlchemy") == sa_version - assert get_pkg_version(requirements_file, "pandas") == "pandas==0.23.0" - assert get_pkg_version(requirements_file, "toposort") == "toposort" - with raises(KedroCliError): - get_pkg_version(requirements_file, "nonexistent") - with raises(KedroCliError): - non_existent_file = str(requirements_file) + "-nonexistent" - get_pkg_version(non_existent_file, "pandas") +class TestCliUtils: + def test_get_pkg_version(self, requirements_file): + """Test get_pkg_version(), which extracts package version + from the provided requirements file.""" + sa_version = "SQLAlchemy>=1.2.0, <2.0" + assert get_pkg_version(requirements_file, "SQLAlchemy") == sa_version + assert get_pkg_version(requirements_file, "pandas") == "pandas==0.23.0" + assert get_pkg_version(requirements_file, "toposort") == "toposort" + with raises(KedroCliError): + get_pkg_version(requirements_file, "nonexistent") + with raises(KedroCliError): + non_existent_file = str(requirements_file) + "-nonexistent" + get_pkg_version(non_existent_file, "pandas") + + def test_export_nodes(self, project_path, nodes_path): + nodes = json.dumps( + { + "cells": [ + { + "cell_type": "code", + "source": "print('hello world')", + "metadata": {"tags": ["node"]}, + }, + { + "cell_type": "code", + "source": "print(10+5)", + "metadata": {"tags": ["node"]}, + }, + {"cell_type": "code", "source": "a = 10", "metadata": {}}, + ] + } + ) + notebook_file = project_path / "notebook.ipynb" + notebook_file.write_text(nodes) + + output_path = nodes_path / "{}.py".format(notebook_file.stem) + export_nodes(notebook_file, output_path) + + assert output_path.is_file() + assert output_path.read_text() == "print('hello world')\nprint(10+5)\n" + + def test_export_nodes_different_notebook_paths(self, project_path, nodes_path): + nodes = json.dumps( + { + "cells": [ + { + "cell_type": "code", + "source": "print('hello world')", + "metadata": {"tags": ["node"]}, + } + ] + } + ) + notebook_file1 = project_path / "notebook1.ipynb" + notebook_file1.write_text(nodes) + output_path1 = nodes_path / "notebook1.py" + + notebook_file2 = nodes_path / "notebook2.ipynb" + notebook_file2.write_text(nodes) + output_path2 = nodes_path / "notebook2.py" + + export_nodes(notebook_file1, output_path1) + export_nodes(notebook_file2, output_path2) + + assert output_path1.read_text() == "print('hello world')\n" + assert output_path2.read_text() == "print('hello world')\n" + + def test_export_nodes_nothing_to_write(self, project_path, nodes_path): + nodes = json.dumps( + { + "cells": [ + { + "cell_type": "code", + "source": "print('hello world')", + "metadata": {}, + }, + { + "cell_type": "text", + "source": "hello world", + "metadata": {"tags": ["node"]}, + }, + ] + } + ) + notebook_file = project_path / "notebook.iypnb" + notebook_file.write_text(nodes) + + with warns(UserWarning, match="Skipping notebook"): + output_path = nodes_path / "{}.py".format(notebook_file.stem) + export_nodes(notebook_file, output_path) + + output_path = nodes_path / "notebook.py" + assert not output_path.exists() + + def test_export_nodes_overwrite(self, project_path, nodes_path): + existing_nodes = nodes_path / "notebook.py" + existing_nodes.touch() + existing_nodes.write_text("original") + + nodes = json.dumps( + { + "cells": [ + { + "cell_type": "code", + "source": "print('hello world')", + "metadata": {"tags": ["node"]}, + } + ] + } + ) + notebook_file = project_path / "notebook.iypnb" + notebook_file.write_text(nodes) + + output_path = nodes_path / "{}.py".format(notebook_file.stem) + export_nodes(notebook_file, output_path) + + assert output_path.is_file() + assert output_path.read_text() == "print('hello world')\n" + + def test_export_nodes_json_error(self, nodes_path): + random_file = nodes_path / "notebook.txt" + random_file.touch() + random_file.write_text("original") + output_path = nodes_path / "{}.py".format(random_file.stem) + + pattern = "Provided filepath is not a Jupyter notebook" + with raises(KedroCliError, match=pattern): + export_nodes(random_file, output_path) From 70bfa78d1f0afae1e4cf47d94964f244b8440434 Mon Sep 17 00:00:00 2001 From: Dmitry Vukolov Date: Mon, 8 Jul 2019 17:51:57 +0300 Subject: [PATCH 16/83] Minor documentation fixes (#44) --- kedro/template/{{ cookiecutter.repo_name }}/README.md | 2 +- kedro/template/{{ cookiecutter.repo_name }}/conf/README.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/README.md b/kedro/template/{{ cookiecutter.repo_name }}/README.md index 81cc86bad0..f32eb21a83 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/README.md +++ b/kedro/template/{{ cookiecutter.repo_name }}/README.md @@ -53,7 +53,7 @@ To configure the coverage threshold, please have a look at the file `.coveragerc In order to use notebooks in your Kedro project, you need to install Jupyter: ``` - pip install jupyter +pip install jupyter ``` For using Jupyter Lab, you need to install it: diff --git a/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md b/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md index f76be058d0..0234d27e41 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md +++ b/kedro/template/{{ cookiecutter.repo_name }}/conf/README.md @@ -23,4 +23,4 @@ WARNING: Please do not put access credentials in the base configuration folder. # Find out more -You can find out more about configuration from the [user guide documentation](https://kedro.readthedocs.io/04_user_guide/03_configuration.html). +You can find out more about configuration from the [user guide documentation](https://kedro.readthedocs.io/en/latest/04_user_guide/03_configuration.html). From 70e050f9f62b4404c62bfd0e7c4edc733c299201 Mon Sep 17 00:00:00 2001 From: Yetunde Dada <43755008+yetudada@users.noreply.github.com> Date: Tue, 9 Jul 2019 11:10:27 -0400 Subject: [PATCH 17/83] [KED-821] Updated images and README.md for Kedro-Viz release (#62) --- README.md | 8 ++++---- .../04_user_guide/09_developing_plugins.md | 1 + img/kedro_banner.jpg | Bin 728485 -> 718857 bytes img/pipeline_visualisation.png | Bin 202578 -> 316188 bytes 4 files changed, 5 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 3582bfa6b3..3d509aa368 100644 --- a/README.md +++ b/README.md @@ -52,10 +52,13 @@ For more detailed installation instructions, including how to setup Python virtu - Support for pure Python functions, `nodes`, to break large chunks of code into small independent sections - Automatic resolution of dependencies between `nodes` -- (_coming soon_) Visualise your data pipeline with Kedro-Viz, a tool that shows the pipeline structure of Kedro projects +- Visualise your data pipeline with [Kedro-Viz](https://github.com/quantumblacklabs/kedro-viz), a tool that shows the pipeline structure of Kedro projects *Note:* Read our [FAQs](https://kedro.readthedocs.io/en/latest/06_resources/01_faq.html#how-does-kedro-compare-to-other-projects) to learn how we differ from workflow managers like Airflow and Luigi. +![Kedro-Viz Pipeline Visualisation](https://raw.githubusercontent.com/quantumblacklabs/kedro/master/img/pipeline_visualisation.png) +*A pipeline visualisation generated using [Kedro-Viz](https://github.com/quantumblacklabs/kedro-viz)* + ### 4. Feature extensibility - A plugin system that injects commands into the Kedro command line interface (CLI) @@ -64,9 +67,6 @@ For more detailed installation instructions, including how to setup Python virtu - [Kedro-Docker](https://github.com/quantumblacklabs/kedro-docker), a tool for packaging and shipping Kedro projects within containers - Kedro can be deployed locally, on-premise and cloud (AWS, Azure and GCP) servers, or clusters (EMR, Azure HDinsight, GCP and Databricks) -![Kedro-Viz Pipeline Visualisation](https://raw.githubusercontent.com/quantumblacklabs/kedro/master/img/pipeline_visualisation.png) -*Random pipeline visualisation using Kedro-Viz (coming soon)* - ## How do I use Kedro? Our [documentation](https://kedro.readthedocs.io/en/latest/) explains: diff --git a/docs/source/04_user_guide/09_developing_plugins.md b/docs/source/04_user_guide/09_developing_plugins.md index 657b1da3a3..b31bfb34da 100644 --- a/docs/source/04_user_guide/09_developing_plugins.md +++ b/docs/source/04_user_guide/09_developing_plugins.md @@ -94,3 +94,4 @@ kedro to_json ## Supported plugins - [Kedro-Docker](https://github.com/quantumblacklabs/kedro-docker), a tool for packaging and shipping Kedro projects within containers +- [Kedro-Viz](https://github.com/quantumblacklabs/kedro-viz), a tool for visualising your Kedro pipelines diff --git a/img/kedro_banner.jpg b/img/kedro_banner.jpg index 415e4a23461c1086e9f39892e669698e9443f3ea..720c2d25291faa21f385b79e5ff6bad359b44cb6 100644 GIT binary patch delta 554370 zcmeFYd0f)j+dupPK@m|A0ns#(z!1@J4XqSVT(Argjm%6<(`*x$rkV;BanA+U97|DA z+)7I)ZEAAYwA@mgX3HhVt@%!wHQA^=e80cf^Lk#-egAVme?9-)pBJ3-Is3)A&bi*# zbc}hK^Qtd4F4jD)K2HZ?IZ-{uNLsh 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zR9OO~Pu~sS(m%EG)PVNJxfTZJnkUzGy?t(2EhuxQYNA>_vp7A2Fjrmt5OJi>IFM#f zGsP~8NUOt--+ia?RjaL$OhWltC+}LA3i-e%y%VX?PF|X0e?&etoAE{{dgE!vf<4zH zEX(D$_%WLWv#LC6ruiSG^W|TKyVpNSknr0buIF^-lmbbPZ~EtbiSQZ8UT|!fzbsEf zh@!e@;7#jG>YX9JonvV)z?=-f)d8-P@RY&WqebT;`vQPnVb0 zSi4YFuT*#ttLSa7BHc%=^WiP#iIe4xkd7LjJi72s9@W& zw>ah3B18Nt-2o6OYB$(0Tt#uHSQr~~#52=>uSA(<+gid#1KM95OQ&%~2jTq{oPJ$| z;y}}PUgFAHcK{FRLZ4{J4atPHHT4zyOc{UT!!CeSN(X`1~e?NzWx!rW5Bqm_r0ptk#6z$?{5uP zW8o&B%10H=qw;-C&^Myf_zG_W3|r@(^)E(D3|pdIOxC#@W-jf2>HivI$SFb)`9Ajg z8O1(J-OOLfK4KX3F}-D$sp2V8A%SzBKPVJol*qlQ>C4A;sP_WwE{>7Ecj#A7F1*@O zF_jJU7UYxpfsd;vTTh#wMA=2Iau&m`=4JGu++RPZ+`xT9%NjQ30Vh(lg?Q~hN3&)| zLYc6pqfb$novSK{&D`n3_^ZbVyyVV0dTX_y$3j*|Cf(k@aJgOEbz1NO-9xntvr}vhAS)xD{LHZC_@Du<-F&!NWMOuOvO28^B#Yb>(O%-8=ka^{H%@Q$?$5IOH&T*PQ&@Ptu()Oa$;@z z_4)G~5extJ`STkd=(o?G--t!}x6hy7@Fc%|{`^L4W4}Isej~Ex-#&kS!)W>K^XIoe zU+T|q|37#|%Fggxz`}nQl{`2jB2l?-9^S|@>_tyAxar*Py zpNrFfzy0_7?^mUS7r*_%e}DVm@4x*N!0-Q;zje5N?bzf0m!09it41>|H8Wf3Pb0yF z`#KC?YfIVNY@=fQ=baq_ueC+6z^pF)@8;j1aN_aOyu0Z@Miy;X7yr)T>$SGx$@4IV zHTEV?m}d-k*&#Un?H@M7!}HwWGUjyFKQ32Of2}QGB-D`6hCeF+`8!~KNXM4-~DREuN6Vk_{j$Xd;{{SIqL%09{ From a3824c699dd8126078b11fa686b66912a321810c Mon Sep 17 00:00:00 2001 From: Deepyaman Datta Date: Wed, 10 Jul 2019 04:16:03 -0400 Subject: [PATCH 18/83] Change ref from `joblib.load` to `joblib.dump` in the docstring (#45) --- RELEASE.md | 2 +- kedro/io/pickle_local.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 5df8537a38..98d6da980f 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -10,7 +10,7 @@ ## Breaking changes to the API ## Thanks for supporting contributions -[Dmitry Vukolov](https://github.com/dvukolov), [Angus Williams](https://github.com/awqb) +[Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman) # Release 0.14.3 diff --git a/kedro/io/pickle_local.py b/kedro/io/pickle_local.py index 7bd0ca834b..0b1a4a904c 100644 --- a/kedro/io/pickle_local.py +++ b/kedro/io/pickle_local.py @@ -102,7 +102,7 @@ def __init__( load_args: Options for loading pickle files. Refer to the help file of ``pickle.load`` or ``joblib.load`` for options. save_args: Options for saving pickle files. Refer to the help - file of ``pickle.dump`` or ``joblib.load`` for options. + file of ``pickle.dump`` or ``joblib.dump`` for options. version: If specified, should be an instance of ``kedro.io.core.Version``. If its ``load`` attribute is None, the latest version will be loaded. If its ``save`` From aeef65880d1e4b62f047bc7f3983c6bf4902d533 Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Wed, 10 Jul 2019 10:30:33 +0100 Subject: [PATCH 19/83] Fix the Spark tests by installing Java 1.8 (#131) --- .circleci/config.yml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 40063edd9f..01f20d0c7f 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -5,12 +5,16 @@ jobs: - image: quantumblacklabs/kedro_builder:3.5.2 steps: - checkout + - run: + name: Install Java 1.8 + command: | + sudo apt install openjdk-8-jdk + sudo update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java - run: &CONDA_SETUP name: Activate conda environment command: | echo ". /home/circleci/miniconda/etc/profile.d/conda.sh" >> $BASH_ENV echo "conda deactivate; conda activate kedro_builder" >> $BASH_ENV - - run: &PIP_SETUP name: Install PIP dependencies command: | From c8d722a20ac7e7e5abd5a5121b6479d9ab498d2d Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Wed, 10 Jul 2019 12:01:27 +0100 Subject: [PATCH 20/83] [KED-870] Merge `FilepathVersionMixIn` and `S3PathVersionMixIn` into one (#127) --- RELEASE.md | 11 ++ docs/source/04_user_guide/07_advanced_io.md | 5 +- docs/source/05_api_docs/kedro.io.rst | 3 +- kedro/io/__init__.py | 3 +- kedro/io/core.py | 170 ++++++++++---------- kedro/io/csv_local.py | 35 ++-- kedro/io/csv_s3.py | 70 ++++---- kedro/io/excel_local.py | 19 +-- kedro/io/hdf_local.py | 21 ++- kedro/io/hdf_s3.py | 84 +++++----- kedro/io/json_local.py | 37 ++--- kedro/io/memory_data_set.py | 2 +- kedro/io/parquet_local.py | 38 ++--- kedro/io/pickle_local.py | 21 ++- kedro/io/pickle_s3.py | 55 +++---- kedro/io/text_local.py | 41 +++-- tests/io/test_csv_s3.py | 12 +- tests/io/test_hdf_s3.py | 4 + tests/io/test_pickle_s3.py | 12 +- tests/io/test_text_local.py | 2 +- 20 files changed, 304 insertions(+), 341 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 98d6da980f..8b268839ef 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -8,6 +8,17 @@ * Documentation improvements ## Breaking changes to the API +* Merged `FilepathVersionMixIn` and `S3VersionMixIn` under one abstract class `AbstractVersionedDataSet` which extends`AbstractDataSet`. + +#### Migration guide from Kedro 0.14.* to Kedro 0.15.0 +If you defined any custom dataset classes which support versioning in your project, you need to apply the following changes: + +1. Make sure your dataset inherits from `AbstractVersionedDataSet` only. +2. Call `super().__init__()` with the appropriate arguments in the dataset's `__init__`. If storing on local filesystem, providing the filepath and the version is enough. Otherwise, you should also pass in an `exists_function` and a `glob_function` that emulate `exists` and `glob` in a different filesystem (see `CSVS3DataSet` as an example). +3. Remove setting of the `_filepath` and `_version` attributes in the dataset's `__init__`, as this is take care of in the base abstract class. +4. Any calls to `_get_load_path` and `_get_save_path` methods should take no arguments. +5. Ensure you convert the output of `_get_load_path` and `_get_save_path` appropriately, as these now return [`PurePath`s](https://docs.python.org/3/library/pathlib.html#pure-paths) instead of strings. +6. Make sure `_check_paths_consistency` is called with [`PurePath`s](https://docs.python.org/3/library/pathlib.html#pure-paths) as input arguments, instead of strings. ## Thanks for supporting contributions [Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman) diff --git a/docs/source/04_user_guide/07_advanced_io.md b/docs/source/04_user_guide/07_advanced_io.md index 7c8523d6ef..72bc336e7b 100644 --- a/docs/source/04_user_guide/07_advanced_io.md +++ b/docs/source/04_user_guide/07_advanced_io.md @@ -46,9 +46,10 @@ For contributors, if you would like to submit a new dataset, you will have to ex In order to enable versioning, all of the following conditions must be met: 1. The dataset must: - 1. extend `kedro.io.core.FilepathVersionMixin` AND + 1. extend `kedro.io.core.AbstractVersionedDataSet` AND 2. add `version` namedtuple as an argument to its `__init__` method AND - 3. modify its `_load` and `_save` methods respectively to support versioning (see [`kedro.io.CSVLocalDataSet`](/kedro.io.CSVLocalDataSet) for an example implementation) + 3. call `super().__init__()` with positional arguments `version`, `filepath`, and optionally with a `glob` and an `exists` functions if it uses non-local filesystem (see [`kedro.io.CSVLocalDataSet`](/kedro.io.CSVLocalDataSet) and [`kedro.io.CSVS3DataSet`](/kedro.io.CSVS3DataSet) example implementations) AND + 4. modify its `_describe`, `_load` and `_save` methods respectively to support versioning (see [`kedro.io.CSVLocalDataSet`](/kedro.io.CSVLocalDataSet) for an example implementation) AND 2. In the `catalog.yml` config file you must enable versioning by setting `versioned` attribute to `true` for the given dataset. ### `version` namedtuple diff --git a/docs/source/05_api_docs/kedro.io.rst b/docs/source/05_api_docs/kedro.io.rst index d7502e0eaf..ea196d88e4 100644 --- a/docs/source/05_api_docs/kedro.io.rst +++ b/docs/source/05_api_docs/kedro.io.rst @@ -58,6 +58,5 @@ Base Classes :template: autosummary/class.rst kedro.io.AbstractDataSet - kedro.io.FilepathVersionMixIn - kedro.io.S3PathVersionMixIn + kedro.io.AbstractVersionedDataSet kedro.io.Version diff --git a/kedro/io/__init__.py b/kedro/io/__init__.py index 0707691f9e..28e7fd7f80 100644 --- a/kedro/io/__init__.py +++ b/kedro/io/__init__.py @@ -32,11 +32,10 @@ """ from .core import AbstractDataSet # NOQA +from .core import AbstractVersionedDataSet # NOQA from .core import DataSetAlreadyExistsError # NOQA from .core import DataSetError # NOQA from .core import DataSetNotFoundError # NOQA -from .core import FilepathVersionMixIn # NOQA -from .core import S3PathVersionMixIn # NOQA from .core import Version # NOQA from .csv_local import CSVLocalDataSet # NOQA from .csv_s3 import CSVS3DataSet # NOQA diff --git a/kedro/io/core.py b/kedro/io/core.py index b0a347b770..d39b43d389 100644 --- a/kedro/io/core.py +++ b/kedro/io/core.py @@ -36,8 +36,8 @@ from collections import namedtuple from datetime import datetime, timezone from glob import iglob -from pathlib import Path, PurePosixPath -from typing import Any, Dict, Type +from pathlib import Path, PurePath +from typing import Any, Callable, Dict, List, Optional, Type from warnings import warn from kedro.utils import load_obj @@ -319,7 +319,7 @@ def _exists(self) -> bool: ) return False - def release(self) -> bool: + def release(self) -> None: """Release any cached data. Raises: @@ -372,94 +372,102 @@ class Version(namedtuple("Version", ["load", "save"])): ) -# pylint: disable=too-few-public-methods -class FilepathVersionMixIn: - """Mixin class which helps to version filepath-like data sets.""" +def _local_exists(filepath: str) -> bool: + return Path(filepath).exists() + + +class AbstractVersionedDataSet(AbstractDataSet): + """ + `AbstractVersionedDataSet`` is the base class for all versioned data set implementations. + All data sets that implement versioning should extend this abstract class + and implement the methods marked as abstract. + + Example: + :: + + >>> from kedro.io import AbstractVersionedDataSet + >>> import pandas as pd + >>> + >>> class MyOwnDataSet(AbstractVersionedDataSet): + >>> def __init__(self, param1, param2, filepath, version): + >>> super().__init__(filepath, version) + >>> self._param1 = param1 + >>> self._param2 = param2 + >>> + >>> def _load(self) -> pd.DataFrame: + >>> load_path = self._get_load_path() + >>> return pd.read_csv(load_path) + >>> + >>> def _save(self, df: pd.DataFrame) -> None: + >>> save_path = self._get_save_path() + >>> df.to_csv(save_path) + >>> + >>> def _describe(self): + >>> return dict(version=self._version, param1=self._param1, param2=self._param2) + """ + + # pylint: disable=abstract-method + + def __init__( + self, + filepath: PurePath, + version: Optional[Version], + exists_function: Callable[[str], bool] = None, + glob_function: Callable[[str], List[str]] = None, + ): + """Creates a new instance of ``AbstractVersionedDataSet``. + + Args: + filepath: Path to file. + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + exists_function: Function that is used for determining whether + a path exists in a filesystem. + glob_function: Function that is used for finding all paths + in a filesystem, which match a given pattern. + """ + self._filepath = filepath + self._version = version + self._exists_function = exists_function or _local_exists + self._glob_function = glob_function or iglob + + def _get_load_path(self) -> PurePath: + if not self._version: + return self._filepath + if self._version.load: + return self._get_versioned_path(self._version.load) + + pattern = str(self._get_versioned_path("*")) + paths = [ + path for path in self._glob_function(pattern) if self._exists_function(path) + ] - def _get_load_path(self, filepath: str, version: Version = None) -> str: - if not version: - return filepath - if version.load: - return self._get_versioned_path(filepath, version.load) - pattern = self._get_versioned_path(filepath, "*") - paths = [f for f in iglob(pattern) if Path(f).exists()] if not paths: - message = "Did not find any versions for {}".format(str(self)) - raise DataSetError(message) - return sorted(paths, reverse=True)[0] - - def _get_save_path(self, filepath: str, version: Version = None) -> str: - if not version: - return filepath - save_version = version.save or generate_current_version() - versioned_path = self._get_versioned_path(filepath, save_version) - if Path(versioned_path).exists(): - message = ( - "Save path `{}` for {} must not exist if versioning " - "is enabled.".format(versioned_path, str(self)) - ) - raise DataSetError(message) - return versioned_path + raise DataSetError("Did not find any versions for {}".format(str(self))) - @staticmethod - def _get_versioned_path(filepath: str, version: str) -> str: - filepath = Path(filepath) - return str(filepath / version / filepath.name) + most_recent = sorted(paths, reverse=True)[0] + return PurePath(most_recent) - def _check_paths_consistency(self, load_path: str, save_path: str): - if load_path != save_path: - warn(_PATH_CONSISTENCY_WARNING.format(save_path, load_path, str(self))) + def _get_save_path(self) -> PurePath: + if not self._version: + return self._filepath + save_version = self._version.save or generate_current_version() + versioned_path = self._get_versioned_path(save_version) -# pylint: disable=too-few-public-methods -class S3PathVersionMixIn: - """Mixin class which helps to version S3 data sets.""" - - def _get_load_path( - self, client: Any, bucket: str, filepath: str, version: Version = None - ) -> str: - if not version: - return filepath - if version.load: - return self._get_versioned_path(filepath, version.load) - prefix = filepath if filepath.endswith("/") else filepath + "/" - keys = list(self._list_objects(client, bucket, prefix)) - if not keys: - message = "Did not find any versions for {}".format(str(self)) - raise DataSetError(message) - return sorted(keys, reverse=True)[0] - - def _get_save_path( - self, client: Any, bucket: str, filepath: str, version: Version = None - ) -> str: - if not version: - return filepath - save_version = version.save or generate_current_version() - versioned_path = self._get_versioned_path(filepath, save_version) - if versioned_path in self._list_objects(client, bucket, versioned_path): - message = ( + if self._exists_function(str(versioned_path)): + raise DataSetError( "Save path `{}` for {} must not exist if versioning " "is enabled.".format(versioned_path, str(self)) ) - raise DataSetError(message) + return versioned_path - def _check_paths_consistency(self, load_path: str, save_path: str): + def _get_versioned_path(self, version: str) -> PurePath: + return self._filepath / version / self._filepath.name + + def _check_paths_consistency(self, load_path: PurePath, save_path: PurePath): if load_path != save_path: warn(_PATH_CONSISTENCY_WARNING.format(save_path, load_path, str(self))) - - @staticmethod - def _get_versioned_path(filepath: str, version: str) -> str: - filepath = PurePosixPath(filepath) - return str(filepath / version / filepath.name) - - @staticmethod - def _list_objects(client: Any, bucket: str, prefix: str): - paginator = client.get_paginator("list_objects_v2") - page_iterator = paginator.paginate(Bucket=bucket, Prefix=prefix) - for page in page_iterator: - yield from ( - obj["Key"] - for obj in page.get("Contents", []) - if not obj["Key"].endswith("/") - ) diff --git a/kedro/io/csv_local.py b/kedro/io/csv_local.py index 17d2f1ecef..c0bc0841f4 100644 --- a/kedro/io/csv_local.py +++ b/kedro/io/csv_local.py @@ -35,10 +35,10 @@ import pandas as pd -from kedro.io.core import AbstractDataSet, DataSetError, FilepathVersionMixIn, Version +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version -class CSVLocalDataSet(AbstractDataSet, FilepathVersionMixIn): +class CSVLocalDataSet(AbstractVersionedDataSet): """``CSVLocalDataSet`` loads and saves data to a local csv file. The underlying functionality is supported by pandas, so it supports all allowed pandas options for loading and saving csv files. @@ -61,14 +61,6 @@ class CSVLocalDataSet(AbstractDataSet, FilepathVersionMixIn): """ - def _describe(self) -> Dict[str, Any]: - return dict( - filepath=self._filepath, - load_args=self._load_args, - save_args=self._save_args, - version=self._version, - ) - def __init__( self, filepath: str, @@ -94,9 +86,9 @@ def __init__( None, the latest version will be loaded. If its ``save`` attribute is None, save version will be autogenerated. """ + super().__init__(Path(filepath), version) default_save_args = {"index": False} default_load_args = {} - self._filepath = filepath self._load_args = ( {**default_load_args, **load_args} if load_args is not None @@ -107,25 +99,30 @@ def __init__( if save_args is not None else default_save_args ) - self._version = version def _load(self) -> pd.DataFrame: - load_path = self._get_load_path(self._filepath, self._version) + load_path = Path(self._get_load_path()) return pd.read_csv(load_path, **self._load_args) def _save(self, data: pd.DataFrame) -> None: - save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path = Path(self._get_save_path()) save_path.parent.mkdir(parents=True, exist_ok=True) data.to_csv(str(save_path), **self._save_args) - load_path = Path(self._get_load_path(self._filepath, self._version)) - self._check_paths_consistency( - str(load_path.absolute()), str(save_path.absolute()) - ) + load_path = Path(self._get_load_path()) + self._check_paths_consistency(load_path.absolute(), save_path.absolute()) def _exists(self) -> bool: try: - path = self._get_load_path(self._filepath, self._version) + path = self._get_load_path() except DataSetError: return False return Path(path).is_file() + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) diff --git a/kedro/io/csv_s3.py b/kedro/io/csv_s3.py index 4d0ddbbcc9..7ac55d4e10 100644 --- a/kedro/io/csv_s3.py +++ b/kedro/io/csv_s3.py @@ -29,15 +29,18 @@ """``CSVS3DataSet`` loads and saves data to a file in S3. It uses s3fs to read and write from S3 and pandas to handle the csv file. """ +from copy import deepcopy +from functools import partial +from pathlib import PurePosixPath from typing import Any, Dict, Optional import pandas as pd from s3fs.core import S3FileSystem -from kedro.io.core import AbstractDataSet, DataSetError, S3PathVersionMixIn, Version +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version -class CSVS3DataSet(AbstractDataSet, S3PathVersionMixIn): +class CSVS3DataSet(AbstractVersionedDataSet): """``CSVS3DataSet`` loads and saves data to a file in S3. It uses s3fs to read and write from S3 and pandas to handle the csv file. @@ -60,15 +63,6 @@ class CSVS3DataSet(AbstractDataSet, S3PathVersionMixIn): >>> assert data.equals(reloaded) """ - def _describe(self) -> Dict[str, Any]: - return dict( - filepath=self._filepath, - bucket_name=self._bucket_name, - load_args=self._load_args, - save_args=self._save_args, - version=self._version, - ) - # pylint: disable=too-many-arguments def __init__( self, @@ -101,53 +95,51 @@ def __init__( attribute is None, save version will be autogenerated. """ + _credentials = deepcopy(credentials) or {} + _s3 = S3FileSystem(client_kwargs=_credentials) + super().__init__( + PurePosixPath("{}/{}".format(bucket_name, filepath)), + version, + exists_function=_s3.exists, + glob_function=partial(_s3.glob, refresh=True), + ) default_save_args = {"index": False} self._save_args = ( {**default_save_args, **save_args} if save_args else default_save_args ) self._load_args = load_args if load_args else {} - self._filepath = filepath self._bucket_name = bucket_name - self._credentials = credentials if credentials else {} - self._version = version - self._s3 = S3FileSystem(client_kwargs=self._credentials) + self._credentials = _credentials + self._s3 = _s3 - @property - def _client(self): - return self._s3.s3 + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + bucket_name=self._bucket_name, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) def _load(self) -> pd.DataFrame: - load_key = self._get_load_path( - self._client, self._bucket_name, self._filepath, self._version - ) + load_path = PurePosixPath(self._get_load_path()) - with self._s3.open( - "{}/{}".format(self._bucket_name, load_key), mode="rb" - ) as s3_file: + with self._s3.open(str(load_path), mode="rb") as s3_file: return pd.read_csv(s3_file, **self._load_args) def _save(self, data: pd.DataFrame) -> None: - save_key = self._get_save_path( - self._client, self._bucket_name, self._filepath, self._version - ) + save_path = PurePosixPath(self._get_save_path()) - with self._s3.open( - "{}/{}".format(self._bucket_name, save_key), mode="wb" - ) as s3_file: + with self._s3.open(str(save_path), mode="wb") as s3_file: # Only binary read and write modes are implemented for S3Files s3_file.write(data.to_csv(**self._save_args).encode("utf8")) - load_key = self._get_load_path( - self._client, self._bucket_name, self._filepath, self._version - ) - self._check_paths_consistency(load_key, save_key) + load_path = PurePosixPath(self._get_load_path()) + self._check_paths_consistency(load_path, save_path) def _exists(self) -> bool: try: - load_key = self._get_load_path( - self._client, self._bucket_name, self._filepath, self._version - ) + load_path = self._get_load_path() except DataSetError: return False - args = (self._client, self._bucket_name, load_key) - return any(key == load_key for key in self._list_objects(*args)) + return self._s3.isfile(str(PurePosixPath(load_path))) diff --git a/kedro/io/excel_local.py b/kedro/io/excel_local.py index 591516bbf7..16618b97f2 100644 --- a/kedro/io/excel_local.py +++ b/kedro/io/excel_local.py @@ -35,10 +35,10 @@ import pandas as pd -from kedro.io.core import AbstractDataSet, DataSetError, FilepathVersionMixIn, Version +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version -class ExcelLocalDataSet(AbstractDataSet, FilepathVersionMixIn): +class ExcelLocalDataSet(AbstractVersionedDataSet): """``ExcelLocalDataSet`` loads and saves data to a local Excel file. The underlying functionality is supported by pandas, so it supports all allowed pandas options for loading and saving Excel files. @@ -104,7 +104,7 @@ def __init__( attribute is None, save version will be autogenerated. """ - self._filepath = filepath + super().__init__(Path(filepath), version) default_save_args = {"index": False} default_load_args = {"engine": "xlrd"} @@ -119,26 +119,23 @@ def __init__( else default_save_args ) self._engine = engine - self._version = version def _load(self) -> Union[pd.DataFrame, Dict[str, pd.DataFrame]]: - load_path = self._get_load_path(self._filepath, self._version) + load_path = Path(self._get_load_path()) return pd.read_excel(load_path, **self._load_args) def _save(self, data: pd.DataFrame) -> None: - save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path = Path(self._get_save_path()) save_path.parent.mkdir(parents=True, exist_ok=True) with pd.ExcelWriter(str(save_path), engine=self._engine) as writer: data.to_excel(writer, **self._save_args) - load_path = Path(self._get_load_path(self._filepath, self._version)) - self._check_paths_consistency( - str(load_path.absolute()), str(save_path.absolute()) - ) + load_path = Path(self._get_load_path()) + self._check_paths_consistency(load_path.absolute(), save_path.absolute()) def _exists(self) -> bool: try: - path = self._get_load_path(self._filepath, self._version) + path = self._get_load_path() except DataSetError: return False return Path(path).is_file() diff --git a/kedro/io/hdf_local.py b/kedro/io/hdf_local.py index 2360664957..1a460348b7 100644 --- a/kedro/io/hdf_local.py +++ b/kedro/io/hdf_local.py @@ -36,10 +36,10 @@ import pandas as pd from pandas.io.pytables import HDFStore -from kedro.io.core import AbstractDataSet, DataSetError, FilepathVersionMixIn, Version +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version -class HDFLocalDataSet(AbstractDataSet, FilepathVersionMixIn): +class HDFLocalDataSet(AbstractVersionedDataSet): """``HDFLocalDataSet`` loads and saves data to a local hdf file. The underlying functionality is supported by pandas, so it supports all allowed pandas options for loading and saving hdf files. @@ -92,9 +92,9 @@ def __init__( attribute is None, save version will be autogenerated. """ + super().__init__(Path(filepath), version) default_load_args = {} default_save_args = {} - self._filepath = filepath self._key = key self._load_args = ( {**default_load_args, **load_args} @@ -106,21 +106,18 @@ def __init__( if save_args is not None else default_save_args ) - self._version = version def _load(self) -> pd.DataFrame: - load_path = self._get_load_path(self._filepath, self._version) + load_path = Path(self._get_load_path()) return pd.read_hdf(load_path, key=self._key, **self._load_args) def _save(self, data: pd.DataFrame) -> None: - save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path = Path(self._get_save_path()) save_path.parent.mkdir(parents=True, exist_ok=True) data.to_hdf(str(save_path), key=self._key, **self._save_args) - load_path = Path(self._get_load_path(self._filepath, self._version)) - self._check_paths_consistency( - str(load_path.absolute()), str(save_path.absolute()) - ) + load_path = Path(self._get_load_path()) + self._check_paths_consistency(load_path.absolute(), save_path.absolute()) def _describe(self) -> Dict[str, Any]: return dict( @@ -133,11 +130,11 @@ def _describe(self) -> Dict[str, Any]: def _exists(self) -> bool: try: - path = self._get_load_path(self._filepath, self._version) + path = self._get_load_path() except DataSetError: return False if Path(path).is_file(): - with HDFStore(path, mode="r") as hdfstore: + with HDFStore(Path(path), mode="r") as hdfstore: key_with_slash = ( self._key if self._key.startswith("/") else "/" + self._key ) diff --git a/kedro/io/hdf_s3.py b/kedro/io/hdf_s3.py index 164c612e14..c2a2de7b33 100644 --- a/kedro/io/hdf_s3.py +++ b/kedro/io/hdf_s3.py @@ -30,18 +30,20 @@ underlying functionality is supported by pandas HDFStore and PyTables, so it supports all allowed PyTables options for loading and saving hdf files. """ +from copy import deepcopy +from functools import partial +from pathlib import PurePosixPath from typing import Any, Dict, Optional import pandas as pd from s3fs import S3FileSystem -from kedro.io.core import AbstractDataSet, DataSetError, S3PathVersionMixIn, Version +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version HDFSTORE_DRIVER = "H5FD_CORE" -# pylint: disable=too-many-instance-attributes -class HDFS3DataSet(AbstractDataSet, S3PathVersionMixIn): +class HDFS3DataSet(AbstractVersionedDataSet): """``HDFS3DataSet`` loads and saves data to a S3 bucket. The underlying functionality is supported by pandas, so it supports all allowed pandas options for loading and saving hdf files. @@ -101,12 +103,20 @@ def __init__( attribute is None, save version will be autogenerated. """ + _credentials = deepcopy(credentials) or {} + _s3 = S3FileSystem(client_kwargs=_credentials) + super().__init__( + PurePosixPath("{}/{}".format(bucket_name, filepath)), + version, + exists_function=_s3.exists, + glob_function=partial(_s3.glob, refresh=True), + ) + default_load_args = {} default_save_args = {} - self._filepath = filepath self._key = key self._bucket_name = bucket_name - self._credentials = credentials if credentials else {} + self._credentials = _credentials self._load_args = ( {**default_load_args, **load_args} if load_args is not None @@ -117,25 +127,26 @@ def __init__( if save_args is not None else default_save_args ) - self._version = version - self._s3 = S3FileSystem(client_kwargs=self._credentials) + self._s3 = _s3 - @property - def _client(self): - return self._s3.s3 + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + bucket_name=self._bucket_name, + key=self._key, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) def _load(self) -> pd.DataFrame: - load_key = self._get_load_path( - self._client, self._bucket_name, self._filepath, self._version - ) + load_path = PurePosixPath(self._get_load_path()) - with self._s3.open( - "{}/{}".format(self._bucket_name, load_key), mode="rb" - ) as s3_file: + with self._s3.open(str(load_path), mode="rb") as s3_file: binary_data = s3_file.read() with pd.HDFStore( - self._filepath, + str(self._filepath), mode="r", driver=HDFSTORE_DRIVER, driver_core_backing_store=0, @@ -145,12 +156,10 @@ def _load(self) -> pd.DataFrame: return store[self._key] def _save(self, data: pd.DataFrame) -> None: - save_key = self._get_save_path( - self._client, self._bucket_name, self._filepath, self._version - ) + save_path = PurePosixPath(self._get_save_path()) with pd.HDFStore( - self._filepath, + str(self._filepath), mode="w", driver=HDFSTORE_DRIVER, driver_core_backing_store=0, @@ -160,34 +169,25 @@ def _save(self, data: pd.DataFrame) -> None: # pylint: disable=protected-access binary_data = store._handle.get_file_image() - with self._s3.open( - "{}/{}".format(self._bucket_name, save_key), mode="wb" - ) as s3_file: + with self._s3.open(str(save_path), mode="wb") as s3_file: # Only binary read and write modes are implemented for S3Files s3_file.write(binary_data) - load_key = self._get_load_path( - self._client, self._bucket_name, self._filepath, self._version - ) - self._check_paths_consistency(load_key, save_key) + load_path = PurePosixPath(self._get_load_path()) + self._check_paths_consistency(load_path, save_path) def _exists(self) -> bool: try: - load_key = self._get_load_path( - self._client, self._bucket_name, self._filepath, self._version - ) + load_path = str(PurePosixPath(self._get_load_path())) except DataSetError: return False - args = (self._client, self._bucket_name, load_key) - if any(key == load_key for key in self._list_objects(*args)): - with self._s3.open( - "{}/{}".format(self._bucket_name, load_key), mode="rb" - ) as s3_file: + if self._s3.isfile(load_path): + with self._s3.open(load_path, mode="rb") as s3_file: binary_data = s3_file.read() with pd.HDFStore( - self._filepath, + str(self._filepath), mode="r", driver=HDFSTORE_DRIVER, driver_core_backing_store=0, @@ -199,13 +199,3 @@ def _exists(self) -> bool: ) return key_with_slash in store.keys() return False - - def _describe(self) -> Dict[str, Any]: - return dict( - filepath=self._filepath, - bucket_name=self._bucket_name, - key=self._key, - load_args=self._load_args, - save_args=self._save_args, - version=self._version, - ) diff --git a/kedro/io/json_local.py b/kedro/io/json_local.py index 9951ea3c2a..2d6e891d26 100644 --- a/kedro/io/json_local.py +++ b/kedro/io/json_local.py @@ -35,10 +35,10 @@ import pandas as pd -from kedro.io.core import AbstractDataSet, DataSetError, FilepathVersionMixIn, Version +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version -class JSONLocalDataSet(AbstractDataSet, FilepathVersionMixIn): +class JSONLocalDataSet(AbstractVersionedDataSet): """``JSONLocalDataSet`` encodes data as json and saves it to a local file or reads in and decodes an existing json file. The encoding/decoding functionality is provided by Python's ``json`` library. @@ -58,14 +58,6 @@ class JSONLocalDataSet(AbstractDataSet, FilepathVersionMixIn): """ - def _describe(self) -> Dict[str, Any]: - return dict( - filepath=self._filepath, - load_args=self._load_args, - save_args=self._save_args, - version=self._version, - ) - def __init__( self, filepath: str, @@ -90,9 +82,9 @@ def __init__( attribute is None, save version will be autogenerated. """ + super().__init__(Path(filepath), version) default_save_args = {"indent": 4} default_load_args = {} - self._filepath = filepath self._load_args = ( {**default_load_args, **load_args} if load_args is not None @@ -103,27 +95,32 @@ def __init__( if save_args is not None else default_save_args ) - self._version = version + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) def _load(self) -> Any: - load_path = self._get_load_path(self._filepath, self._version) - with open(load_path, "r") as local_file: + load_path = Path(self._get_load_path()) + with load_path.open("r") as local_file: return json.load(local_file, **self._load_args) def _save(self, data: pd.DataFrame) -> None: - save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path = Path(self._get_save_path()) save_path.parent.mkdir(parents=True, exist_ok=True) with save_path.open("w") as local_file: json.dump(data, local_file, **self._save_args) - load_path = Path(self._get_load_path(self._filepath, self._version)) - self._check_paths_consistency( - str(load_path.absolute()), str(save_path.absolute()) - ) + load_path = Path(self._get_load_path()) + self._check_paths_consistency(load_path.absolute(), save_path.absolute()) def _exists(self) -> bool: try: - path = self._get_load_path(self._filepath, self._version) + path = self._get_load_path() except DataSetError: return False return Path(path).is_file() diff --git a/kedro/io/memory_data_set.py b/kedro/io/memory_data_set.py index ccfca5a7ec..9cad733187 100644 --- a/kedro/io/memory_data_set.py +++ b/kedro/io/memory_data_set.py @@ -102,5 +102,5 @@ def _exists(self) -> bool: return False return True - def _release(self): + def _release(self) -> None: self._data = None diff --git a/kedro/io/parquet_local.py b/kedro/io/parquet_local.py index 843da767d5..63cd96d1f9 100644 --- a/kedro/io/parquet_local.py +++ b/kedro/io/parquet_local.py @@ -41,10 +41,10 @@ import pandas as pd -from kedro.io.core import AbstractDataSet, DataSetError, FilepathVersionMixIn, Version +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version -class ParquetLocalDataSet(AbstractDataSet, FilepathVersionMixIn): +class ParquetLocalDataSet(AbstractVersionedDataSet): """``AbstractDataSet`` with functionality for handling local parquet files. Example: @@ -61,15 +61,6 @@ class ParquetLocalDataSet(AbstractDataSet, FilepathVersionMixIn): >>> assert data.equals(loaded_data) """ - def _describe(self) -> Dict[str, Any]: - return dict( - filepath=self._filepath, - engine=self._engine, - load_args=self._load_args, - save_args=self._save_args, - version=self._version, - ) - # pylint: disable=too-many-arguments def __init__( self, @@ -107,12 +98,11 @@ def __init__( attribute is None, save version will be autogenerated. """ + super().__init__(Path(filepath), version) default_save_args = {"compression": None} default_load_args = {} - self._filepath = filepath self._engine = engine - self._load_args = ( {**default_load_args, **load_args} if load_args is not None @@ -123,25 +113,31 @@ def __init__( if save_args is not None else default_save_args ) - self._version = version + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + engine=self._engine, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) def _load(self) -> pd.DataFrame: - load_path = self._get_load_path(self._filepath, self._version) + load_path = Path(self._get_load_path()) return pd.read_parquet(load_path, engine=self._engine, **self._load_args) def _save(self, data: pd.DataFrame) -> None: - save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path = Path(self._get_save_path()) save_path.parent.mkdir(parents=True, exist_ok=True) data.to_parquet(save_path, engine=self._engine, **self._save_args) - load_path = Path(self._get_load_path(self._filepath, self._version)) - self._check_paths_consistency( - str(load_path.absolute()), str(save_path.absolute()) - ) + load_path = Path(self._get_load_path()) + self._check_paths_consistency(load_path.absolute(), save_path.absolute()) def _exists(self) -> bool: try: - path = self._get_load_path(self._filepath, self._version) + path = self._get_load_path() except DataSetError: return False return Path(path).is_file() diff --git a/kedro/io/pickle_local.py b/kedro/io/pickle_local.py index 0b1a4a904c..05955a578b 100644 --- a/kedro/io/pickle_local.py +++ b/kedro/io/pickle_local.py @@ -36,7 +36,7 @@ from pathlib import Path from typing import Any, Dict -from kedro.io.core import AbstractDataSet, DataSetError, FilepathVersionMixIn, Version +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version try: import joblib @@ -44,7 +44,7 @@ joblib = None -class PickleLocalDataSet(AbstractDataSet, FilepathVersionMixIn): +class PickleLocalDataSet(AbstractVersionedDataSet): """``PickleLocalDataSet`` loads and saves a Python object to a local pickle file. The underlying functionality is supported by the pickle and joblib libraries, so it supports @@ -113,6 +113,7 @@ def __init__( ImportError: If 'backend' could not be imported. """ + super().__init__(Path(filepath), version) default_save_args = {} default_load_args = {} @@ -126,7 +127,6 @@ def __init__( "imported. Make sure it is installed." ) - self._filepath = filepath self._backend = backend self._load_args = ( {**default_load_args, **load_args} @@ -138,25 +138,22 @@ def __init__( if save_args is not None else default_save_args ) - self._version = version def _load(self) -> Any: - load_path = self._get_load_path(self._filepath, self._version) - with open(load_path, "rb") as local_file: + load_path = Path(self._get_load_path()) + with load_path.open("rb") as local_file: result = self.BACKENDS[self._backend].load(local_file, **self._load_args) return result def _save(self, data: Any) -> None: - save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path = Path(self._get_save_path()) save_path.parent.mkdir(parents=True, exist_ok=True) with save_path.open("wb") as local_file: self.BACKENDS[self._backend].dump(data, local_file, **self._save_args) - load_path = Path(self._get_load_path(self._filepath, self._version)) - self._check_paths_consistency( - str(load_path.absolute()), str(save_path.absolute()) - ) + load_path = Path(self._get_load_path()) + self._check_paths_consistency(load_path.absolute(), save_path.absolute()) def _describe(self) -> Dict[str, Any]: return dict( @@ -169,7 +166,7 @@ def _describe(self) -> Dict[str, Any]: def _exists(self) -> bool: try: - path = self._get_load_path(self._filepath, self._version) + path = self._get_load_path() except DataSetError: return False return Path(path).is_file() diff --git a/kedro/io/pickle_s3.py b/kedro/io/pickle_s3.py index 6d9f074afa..bf06e6d5b2 100644 --- a/kedro/io/pickle_s3.py +++ b/kedro/io/pickle_s3.py @@ -31,14 +31,17 @@ it supports all allowed options for loading and saving pickle files. """ import pickle +from copy import deepcopy +from functools import partial +from pathlib import PurePosixPath from typing import Any, Dict, Optional from s3fs.core import S3FileSystem -from kedro.io.core import AbstractDataSet, DataSetError, S3PathVersionMixIn, Version +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version -class PickleS3DataSet(AbstractDataSet, S3PathVersionMixIn): +class PickleS3DataSet(AbstractVersionedDataSet): """``PickleS3DataSet`` loads and saves a Python object to a pickle file on S3. The underlying functionality is supported by the pickle library, so it supports all @@ -95,13 +98,20 @@ def __init__( None, the latest version will be loaded. If its ``save`` attribute is None, save version will be autogenerated. """ + _credentials = deepcopy(credentials) or {} + _s3 = S3FileSystem(client_kwargs=_credentials) + super().__init__( + PurePosixPath("{}/{}".format(bucket_name, filepath)), + version, + exists_function=_s3.exists, + glob_function=partial(_s3.glob, refresh=True), + ) + default_load_args = {} default_save_args = {} - self._filepath = filepath self._bucket_name = bucket_name - self._credentials = credentials if credentials else {} - self._version = version + self._credentials = _credentials self._load_args = ( {**default_load_args, **load_args} if load_args is not None @@ -112,11 +122,7 @@ def __init__( if save_args is not None else default_save_args ) - self._s3 = S3FileSystem(client_kwargs=self._credentials) - - @property - def _client(self): - return self._s3.s3 + self._s3 = _s3 def _describe(self) -> Dict[str, Any]: return dict( @@ -128,37 +134,24 @@ def _describe(self) -> Dict[str, Any]: ) def _load(self) -> Any: - load_key = self._get_load_path( - self._client, self._bucket_name, self._filepath, self._version - ) + load_path = PurePosixPath(self._get_load_path()) - with self._s3.open( - "{}/{}".format(self._bucket_name, load_key), mode="rb" - ) as s3_file: + with self._s3.open(str(load_path), mode="rb") as s3_file: return pickle.loads(s3_file.read(), **self._load_args) def _save(self, data: Any) -> None: - save_key = self._get_save_path( - self._client, self._bucket_name, self._filepath, self._version - ) + save_path = PurePosixPath(self._get_save_path()) bytes_object = pickle.dumps(data, **self._save_args) - with self._s3.open( - "{}/{}".format(self._bucket_name, save_key), mode="wb" - ) as s3_file: + with self._s3.open(str(save_path), mode="wb") as s3_file: s3_file.write(bytes_object) - load_key = self._get_load_path( - self._client, self._bucket_name, self._filepath, self._version - ) - self._check_paths_consistency(load_key, save_key) + load_path = PurePosixPath(self._get_load_path()) + self._check_paths_consistency(load_path, save_path) def _exists(self) -> bool: try: - load_key = self._get_load_path( - self._client, self._bucket_name, self._filepath, self._version - ) + load_path = self._get_load_path() except DataSetError: return False - args = (self._client, self._bucket_name, load_key) - return any(key == load_key for key in self._list_objects(*args)) + return self._s3.isfile(str(PurePosixPath(load_path))) diff --git a/kedro/io/text_local.py b/kedro/io/text_local.py index 848f987b66..e114c4729f 100644 --- a/kedro/io/text_local.py +++ b/kedro/io/text_local.py @@ -32,11 +32,10 @@ from pathlib import Path from typing import Any, Dict -from kedro.io import AbstractDataSet -from kedro.io.core import DataSetError, FilepathVersionMixIn, Version +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version -class TextLocalDataSet(AbstractDataSet, FilepathVersionMixIn): +class TextLocalDataSet(AbstractVersionedDataSet): """``TextLocalDataSet`` loads and saves unstructured text files. Example: @@ -51,14 +50,6 @@ class TextLocalDataSet(AbstractDataSet, FilepathVersionMixIn): >>> reloaded = data_set.load() """ - def _describe(self) -> Dict[str, Any]: - return dict( - filepath=self._filepath, - load_args=self._load_args, - save_args=self._save_args, - version=self._version, - ) - def __init__( self, filepath: str, @@ -81,10 +72,11 @@ def __init__( None, the latest version will be loaded. If its ``save`` attribute is None, save version will be autogenerated. """ + super().__init__(Path(os.path.expanduser(filepath)), version) + default_save_args = {"mode": "w"} default_load_args = {"mode": "r"} - self._filepath = os.path.expanduser(filepath) self._load_args = ( {**default_load_args, **load_args} if load_args is not None @@ -95,27 +87,32 @@ def __init__( if save_args is not None else default_save_args ) - self._version = version def _load(self) -> str: - load_path = self._get_load_path(self._filepath, self._version) - with open(load_path, **self._load_args) as _file: + load_path = Path(self._get_load_path()) + with load_path.open(**self._load_args) as _file: return _file.read() def _save(self, data: str) -> None: - save_path = Path(self._get_save_path(self._filepath, self._version)) + save_path = Path(self._get_save_path()) save_path.parent.mkdir(parents=True, exist_ok=True) - with open(str(save_path), **self._save_args) as _file: + with save_path.open(**self._save_args) as _file: _file.write(data) - load_path = Path(self._get_load_path(self._filepath, self._version)) - self._check_paths_consistency( - str(load_path.absolute()), str(save_path.absolute()) - ) + load_path = Path(self._get_load_path()) + self._check_paths_consistency(load_path.absolute(), save_path.absolute()) def _exists(self) -> bool: try: - path = self._get_load_path(self._filepath, self._version) + path = self._get_load_path() except DataSetError: return False return Path(path).is_file() + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) diff --git a/tests/io/test_csv_s3.py b/tests/io/test_csv_s3.py index f6147a174d..e7dc02f05b 100644 --- a/tests/io/test_csv_s3.py +++ b/tests/io/test_csv_s3.py @@ -184,12 +184,6 @@ def test_exists(self, s3_data_set, dummy_dataframe): s3_data_set.save(dummy_dataframe) assert s3_data_set.exists() - @mock_s3 - def test_exists_raises_error(self, s3_data_set): - """Check the error if the given S3 bucket doesn't exist.""" - with pytest.raises(DataSetError, match="NoSuchBucket"): - s3_data_set.exists() - def test_load_save_args(self, s3_data_set): """Test default load and save arguments of the data set.""" assert not s3_data_set._load_args @@ -279,9 +273,9 @@ def test_save_version_warning( """Check the warning when saving to the path that differs from the subsequent load path.""" pattern = ( - r"Save path `{f}/{sv}/{f}` did not match load path " - r"`{f}/{lv}/{f}` for CSVS3DataSet\(.+\)".format( - f=FILENAME, sv=save_version, lv=load_version + r"Save path `{b}/{f}/{sv}/{f}` did not match load path " + r"`{b}/{f}/{lv}/{f}` for CSVS3DataSet\(.+\)".format( + b=BUCKET_NAME, f=FILENAME, sv=save_version, lv=load_version ) ) with pytest.warns(UserWarning, match=pattern): diff --git a/tests/io/test_hdf_s3.py b/tests/io/test_hdf_s3.py index 0877d049e9..fbaf27e25e 100644 --- a/tests/io/test_hdf_s3.py +++ b/tests/io/test_hdf_s3.py @@ -25,6 +25,7 @@ # # See the License for the specific language governing permissions and # limitations under the License. +from multiprocessing.reduction import ForkingPickler import pytest import s3fs @@ -166,6 +167,9 @@ def test_overwrite_if_exists(self, hdf_data_set, dummy_dataframe): reloaded_df = hdf_data_set.load() assert_frame_equal(reloaded_df, dummy_dataframe.T) + def test_serializable(self, hdf_data_set): + ForkingPickler.dumps(hdf_data_set) + class TestHDFS3DataSetVersioned: @pytest.mark.usefixtures("mocked_s3_object") diff --git a/tests/io/test_pickle_s3.py b/tests/io/test_pickle_s3.py index 7a6354c00c..56202ff6ee 100644 --- a/tests/io/test_pickle_s3.py +++ b/tests/io/test_pickle_s3.py @@ -101,12 +101,6 @@ def test_exists(self, s3_data_set): s3_data_set.save(DUMMY_PICKABLE_OBJECT) assert s3_data_set.exists() - @mock_s3 - def test_exists_raises_error(self, s3_data_set): - """Check the error if the given S3 bucket doesn't exist.""" - with pytest.raises(DataSetError, match="NoSuchBucket"): - s3_data_set.exists() - @pytest.mark.usefixtures("mocked_s3_object") def test_load(self, s3_data_set): """Test loading the data from S3.""" @@ -213,9 +207,9 @@ def test_save_version_warning( """Check the warning when saving to the path that differs from the subsequent load path.""" pattern = ( - r"Save path `{f}/{sv}/{f}` did not match load path " - r"`{f}/{lv}/{f}` for PickleS3DataSet\(.+\)".format( - f=FILENAME, sv=save_version, lv=load_version + r"Save path `{b}/{f}/{sv}/{f}` did not match load path " + r"`{b}/{f}/{lv}/{f}` for PickleS3DataSet\(.+\)".format( + b=BUCKET_NAME, f=FILENAME, sv=save_version, lv=load_version ) ) with pytest.warns(UserWarning, match=pattern): diff --git a/tests/io/test_text_local.py b/tests/io/test_text_local.py index 3d53537ed2..0911248cc2 100644 --- a/tests/io/test_text_local.py +++ b/tests/io/test_text_local.py @@ -84,7 +84,7 @@ def test_assess_if_file_exists(self, txt_data_set, sample_text, filepath_txt): def test_filepath_expanduser(self): txt_dataset = TextLocalDataSet(filepath="~") - assert "~" not in txt_dataset._filepath # pylint: disable=protected-access + assert "~" not in str(txt_dataset._filepath) # pylint: disable=protected-access class TestTextLocalDataSetVersioned: From 49c095d0a747ce00b99727e358bb1f7f41106fe9 Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Wed, 10 Jul 2019 13:37:11 +0100 Subject: [PATCH 21/83] Fix mypy errors and add mypy to make lint (#128) Mypy now passes with the following command line mypy kedro --allow-redefinition --ignore-missing-imports --ignore-missing-imports says to ignore stuff from packages that don't have type hints, we should look into getting stubs for that stuff --allow-redefinition is about reassigning variables to different types, they are talking about making this the default, it's required for stuff like def delete(filepath: Union[str, Path]): filepath = Path(filename) filepath.unlink() which would otherwise complain about str not having unlink we should also audit our use of Any as that effectively bypasses typing --- Makefile | 1 + features/steps/sh_run.py | 9 ++-- features/steps/util.py | 4 +- kedro/cli/utils.py | 4 +- kedro/config/config.py | 13 +++-- kedro/context/context.py | 6 +-- kedro/contrib/colors/logging/color_logger.py | 2 +- kedro/contrib/decorators/decorators.py | 4 +- .../io/bioinformatics/sequence_dataset.py | 4 +- kedro/io/csv_local.py | 4 +- kedro/io/data_catalog.py | 4 +- kedro/io/hdf_local.py | 4 +- kedro/io/hdf_s3.py | 4 +- kedro/io/json_local.py | 4 +- kedro/io/parquet_local.py | 4 +- kedro/io/pickle_local.py | 4 +- kedro/io/pickle_s3.py | 4 +- kedro/io/sql.py | 6 +-- kedro/io/text_local.py | 5 +- kedro/pipeline/node.py | 51 +++++++++---------- kedro/pipeline/pipeline.py | 20 +++++--- kedro/runner/parallel_runner.py | 8 +-- test_requirements.txt | 1 + tests/config/test_config.py | 12 +++++ tests/runner/test_parallel_runner.py | 2 +- 25 files changed, 98 insertions(+), 86 deletions(-) diff --git a/Makefile b/Makefile index 02a3b2dc04..ff9fb1fdc7 100644 --- a/Makefile +++ b/Makefile @@ -20,6 +20,7 @@ lint: pylint -j 0 --disable=missing-docstring,no-name-in-module features pylint -j 0 extras flake8 kedro tests features extras --exclude kedro/template* + mypy --allow-redefinition --ignore-missing-imports kedro tests features extras test: pytest tests diff --git a/features/steps/sh_run.py b/features/steps/sh_run.py index 2b70c2e13c..95637dc47a 100644 --- a/features/steps/sh_run.py +++ b/features/steps/sh_run.py @@ -28,17 +28,14 @@ import shlex import subprocess -from typing import Dict, List, Union +from typing import Any, List, Union import psutil def run( - cmd: Union[list, str], - split: bool = True, - print_output: bool = False, - **kwargs: Dict -) -> int: + cmd: Union[list, str], split: bool = True, print_output: bool = False, **kwargs: Any +) -> subprocess.CompletedProcess: """Run a shell command. Args: diff --git a/features/steps/util.py b/features/steps/util.py index 7b557abd92..82872fc46b 100644 --- a/features/steps/util.py +++ b/features/steps/util.py @@ -133,7 +133,7 @@ def wait_for( ) -def create_new_venv() -> str: +def create_new_venv() -> Path: """Create a new venv. Note: Due to a bug in Python 3.5.2 pip needs to be manually installed. @@ -155,7 +155,7 @@ def create_new_venv() -> str: with tempfile.NamedTemporaryFile(delete=False) as tmp_file: tmp_file.write(requests.get(PIP_INSTALL_SCRIPT).content) tmp_file.flush() - os.fsync(tmp_file) + os.fsync(tmp_file.fileno()) subprocess.check_call([str(python_executable), tmp_file.name]) os.unlink(tmp_file.name) diff --git a/kedro/cli/utils.py b/kedro/cli/utils.py index 2f4e158b54..7d53dc6190 100644 --- a/kedro/cli/utils.py +++ b/kedro/cli/utils.py @@ -34,7 +34,7 @@ import sys from itertools import chain from pathlib import Path -from typing import Any, Dict, List, Tuple, Union +from typing import Any, Dict, Sequence, Tuple, Union from warnings import warn import click @@ -116,7 +116,7 @@ def wrapit(func): class CommandCollection(click.CommandCollection): """Modified from the Click one to still run the source groups function.""" - def __init__(self, *groups: Tuple[str, List[click.core.Group]]): + def __init__(self, *groups: Tuple[str, Sequence[click.core.MultiCommand]]): self.groups = groups sources = list(chain.from_iterable(groups for title, groups in groups)) help_strs = [source.help for source in sources if source.help] diff --git a/kedro/config/config.py b/kedro/config/config.py index b07986775c..e09ae25969 100644 --- a/kedro/config/config.py +++ b/kedro/config/config.py @@ -29,9 +29,8 @@ or more configuration files from specified paths. """ import logging -from glob import iglob from pathlib import Path -from typing import Any, Dict, List, Tuple, Union +from typing import AbstractSet, Any, Dict, List, Tuple, Union import anyconfig @@ -151,7 +150,7 @@ def get(self, *patterns: str) -> Dict[str, Any]: "pattern to match config filenames against." ) - config = {} + config = {} # type: Dict[str, Any] processed_files = [] for conf_path in self.conf_paths: @@ -199,14 +198,15 @@ def _load_config( "or is not a valid directory: {0}".format(conf_path) ) config = {} - keys_by_filepath = {} + keys_by_filepath = {} # type: Dict[Path, AbstractSet[str]] def _check_dups(file1, conf): dups = [] for file2, keys in keys_by_filepath.items(): common = ", ".join(sorted(conf.keys() & keys)) if common: - common = common[:100] + (common[100:] and "...") + if len(common) > 100: + common = common[:100] + "..." dups.append(str(file2) + ": " + common) if dups: @@ -238,8 +238,7 @@ def _path_lookup(conf_path: Path, patterns: List[str]) -> List[Path]: result = set() for pattern in patterns: - for path in iglob(str(conf_path / pattern), recursive=True): - path = Path(path).resolve() + for path in conf_path.resolve().glob(pattern): if path.is_file() and path.suffix in SUPPORTED_EXTENSIONS: result.add(path) return sorted(result) diff --git a/kedro/context/context.py b/kedro/context/context.py index 8a218ececc..aa015cf2a9 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -157,7 +157,7 @@ def _get_feed_dict(self) -> Dict[str, Any]: str(exc) ) ) - params = None + params = {} return {"parameters": params} def _get_config_credentials(self) -> Dict[str, Any]: @@ -170,7 +170,7 @@ def _get_config_credentials(self) -> Dict[str, Any]: str(exc) ) ) - conf_creds = None + conf_creds = {} return conf_creds def _create_catalog(self) -> DataCatalog: @@ -244,7 +244,7 @@ def load_context(proj_path: Union[str, Path]) -> Dict: sys.path.append(str(proj_path)) kedro_cli = importlib.import_module("kedro_cli") - result = kedro_cli.__get_kedro_context__() + result = kedro_cli.__get_kedro_context__() # type: ignore _LOADED_PATH = proj_path os.chdir(str(proj_path)) # Move to project root return result diff --git a/kedro/contrib/colors/logging/color_logger.py b/kedro/contrib/colors/logging/color_logger.py index 61026ac9c4..324bfbddd7 100644 --- a/kedro/contrib/colors/logging/color_logger.py +++ b/kedro/contrib/colors/logging/color_logger.py @@ -107,7 +107,7 @@ def _get_color(self, level): return None # pragma: no cover - def format(self, record: str) -> str: + def format(self, record: logging.LogRecord) -> str: """The handler formatter. Args: diff --git a/kedro/contrib/decorators/decorators.py b/kedro/contrib/decorators/decorators.py index 39b687ffc1..e52c2327e6 100644 --- a/kedro/contrib/decorators/decorators.py +++ b/kedro/contrib/decorators/decorators.py @@ -33,7 +33,7 @@ import logging from functools import wraps from time import sleep -from typing import Callable +from typing import Callable, Type import pandas as pd from pyspark.sql import SparkSession @@ -129,7 +129,7 @@ def _wrapper(*args, **kwargs): def retry( - exceptions: Exception = Exception, n_times: int = 1, delay_sec: float = 0 + exceptions: Type[Exception] = Exception, n_times: int = 1, delay_sec: float = 0 ) -> Callable: """ Catches exceptions from the wrapped function at most n_times and then diff --git a/kedro/contrib/io/bioinformatics/sequence_dataset.py b/kedro/contrib/io/bioinformatics/sequence_dataset.py index 68a1dff99f..3769ef0086 100644 --- a/kedro/contrib/io/bioinformatics/sequence_dataset.py +++ b/kedro/contrib/io/bioinformatics/sequence_dataset.py @@ -95,8 +95,8 @@ def __init__( """ self._filepath = filepath - default_load_args = {} - default_save_args = {} + default_load_args = {} # type: Dict[str, Any] + default_save_args = {} # type: Dict[str, Any] self._load_args = ( {**default_load_args, **load_args} if load_args is not None diff --git a/kedro/io/csv_local.py b/kedro/io/csv_local.py index c0bc0841f4..96b8cc94ab 100644 --- a/kedro/io/csv_local.py +++ b/kedro/io/csv_local.py @@ -87,8 +87,8 @@ def __init__( attribute is None, save version will be autogenerated. """ super().__init__(Path(filepath), version) - default_save_args = {"index": False} - default_load_args = {} + default_save_args = {"index": False} # type: Dict[str, Any] + default_load_args = {} # type: Dict[str, Any] self._load_args = ( {**default_load_args, **load_args} if load_args is not None diff --git a/kedro/io/data_catalog.py b/kedro/io/data_catalog.py index 164f726ef3..45960f310c 100644 --- a/kedro/io/data_catalog.py +++ b/kedro/io/data_catalog.py @@ -34,7 +34,7 @@ import copy import logging from functools import partial -from typing import Any, Dict, List, Optional, Sequence, Type, Union +from typing import Any, Dict, Iterable, List, Optional, Type, Union from kedro.io.core import ( AbstractDataSet, @@ -494,7 +494,7 @@ def add_feed_dict(self, feed_dict: Dict[str, Any], replace: bool = False) -> Non def add_transformer( self, transformer: AbstractTransformer, - data_set_names: Union[str, Sequence[str]] = None, + data_set_names: Union[str, Iterable[str]] = None, ): """Add a ``DataSet`` Transformer to the``DataCatalog``. Transformers can modify the way Data Sets are loaded and saved. diff --git a/kedro/io/hdf_local.py b/kedro/io/hdf_local.py index 1a460348b7..fc2372ba1a 100644 --- a/kedro/io/hdf_local.py +++ b/kedro/io/hdf_local.py @@ -93,8 +93,8 @@ def __init__( """ super().__init__(Path(filepath), version) - default_load_args = {} - default_save_args = {} + default_load_args = {} # type: Dict[str, Any] + default_save_args = {} # type: Dict[str, Any] self._key = key self._load_args = ( {**default_load_args, **load_args} diff --git a/kedro/io/hdf_s3.py b/kedro/io/hdf_s3.py index c2a2de7b33..8d22805fa0 100644 --- a/kedro/io/hdf_s3.py +++ b/kedro/io/hdf_s3.py @@ -112,8 +112,8 @@ def __init__( glob_function=partial(_s3.glob, refresh=True), ) - default_load_args = {} - default_save_args = {} + default_load_args = {} # type: Dict[str, Any] + default_save_args = {} # type: Dict[str, Any] self._key = key self._bucket_name = bucket_name self._credentials = _credentials diff --git a/kedro/io/json_local.py b/kedro/io/json_local.py index 2d6e891d26..fd1c35c138 100644 --- a/kedro/io/json_local.py +++ b/kedro/io/json_local.py @@ -83,8 +83,8 @@ def __init__( """ super().__init__(Path(filepath), version) - default_save_args = {"indent": 4} - default_load_args = {} + default_save_args = {"indent": 4} # type: Dict[str, Any] + default_load_args = {} # type: Dict[str, Any] self._load_args = ( {**default_load_args, **load_args} if load_args is not None diff --git a/kedro/io/parquet_local.py b/kedro/io/parquet_local.py index 63cd96d1f9..0375ada3b7 100644 --- a/kedro/io/parquet_local.py +++ b/kedro/io/parquet_local.py @@ -99,8 +99,8 @@ def __init__( """ super().__init__(Path(filepath), version) - default_save_args = {"compression": None} - default_load_args = {} + default_save_args = {"compression": None} # type: Dict[str, Any] + default_load_args = {} # type: Dict[str, Any] self._engine = engine self._load_args = ( diff --git a/kedro/io/pickle_local.py b/kedro/io/pickle_local.py index 05955a578b..f9d5880da0 100644 --- a/kedro/io/pickle_local.py +++ b/kedro/io/pickle_local.py @@ -114,8 +114,8 @@ def __init__( """ super().__init__(Path(filepath), version) - default_save_args = {} - default_load_args = {} + default_save_args = {} # type: Dict[str, Any] + default_load_args = {} # type: Dict[str, Any] if backend not in ["pickle", "joblib"]: raise ValueError( diff --git a/kedro/io/pickle_s3.py b/kedro/io/pickle_s3.py index bf06e6d5b2..d2cb9a1ced 100644 --- a/kedro/io/pickle_s3.py +++ b/kedro/io/pickle_s3.py @@ -107,8 +107,8 @@ def __init__( glob_function=partial(_s3.glob, refresh=True), ) - default_load_args = {} - default_save_args = {} + default_load_args = {} # type: Dict[str, Any] + default_save_args = {} # type: Dict[str, Any] self._bucket_name = bucket_name self._credentials = _credentials diff --git a/kedro/io/sql.py b/kedro/io/sql.py index a771fdf836..20d402ea3e 100644 --- a/kedro/io/sql.py +++ b/kedro/io/sql.py @@ -193,8 +193,8 @@ def __init__( "provide a SQLAlchemy connection string." ) - default_save_args = {"index": False} - default_load_args = {} + default_save_args = {"index": False} # type: Dict[str, Any] + default_load_args = {} # type: Dict[str, Any] self._load_args = ( {**default_load_args, **load_args} @@ -303,7 +303,7 @@ def __init__( "provide a SQLAlchemy connection string." ) - default_load_args = {} + default_load_args = {} # type: Dict[str, Any] self._load_args = ( {**default_load_args, **load_args} diff --git a/kedro/io/text_local.py b/kedro/io/text_local.py index e114c4729f..7b95e0d28e 100644 --- a/kedro/io/text_local.py +++ b/kedro/io/text_local.py @@ -73,9 +73,8 @@ def __init__( attribute is None, save version will be autogenerated. """ super().__init__(Path(os.path.expanduser(filepath)), version) - - default_save_args = {"mode": "w"} - default_load_args = {"mode": "r"} + default_save_args = {"mode": "w"} # type: Dict[str, Any] + default_load_args = {"mode": "r"} # type: Dict[str, Any] self._load_args = ( {**default_load_args, **load_args} diff --git a/kedro/pipeline/node.py b/kedro/pipeline/node.py index b925aaded2..2bb9a0c493 100644 --- a/kedro/pipeline/node.py +++ b/kedro/pipeline/node.py @@ -119,7 +119,7 @@ def __init__( self._outputs = outputs self._name = name self._tags = set([] if tags is None else tags) - self._decorators = decorators or [] + self._decorators = list(decorators or []) self._validate_unique_outputs() self._validate_inputs_dif_than_outputs() @@ -333,14 +333,13 @@ def decorate(self, *decorators: Callable) -> "Node": >>> assert "output" in result >>> assert result['output'] == "f(g(fg(h(1))))" """ - decorators = self._decorators + list(reversed(decorators)) return Node( self._func, self._inputs, self._outputs, name=self._name, tags=self.tags, - decorators=decorators, + decorators=self._decorators + list(reversed(decorators)), ) def run(self, inputs: Dict[str, Any] = None) -> Dict[str, Any]: @@ -384,13 +383,13 @@ def run(self, inputs: Dict[str, Any] = None) -> Dict[str, Any]: try: inputs = dict() if inputs is None else inputs if not self._inputs: - outputs = self._run_no_inputs(inputs) + outputs = self._run_with_no_inputs(inputs) elif isinstance(self._inputs, str): - outputs = self._run_one_input(inputs) + outputs = self._run_with_one_input(inputs, self._inputs) elif isinstance(self._inputs, list): - outputs = self._run_with_list(inputs) + outputs = self._run_with_list(inputs, self._inputs) elif isinstance(self._inputs, dict): - outputs = self._run_with_dict(inputs) + outputs = self._run_with_dict(inputs, self._inputs) return self._outputs_to_dictionary(outputs) @@ -399,7 +398,7 @@ def run(self, inputs: Dict[str, Any] = None) -> Dict[str, Any]: self._logger.error("Node `%s` failed with error: \n%s", str(self), str(exc)) raise exc - def _run_no_inputs(self, inputs: Dict[str, Any]): + def _run_with_no_inputs(self, inputs: Dict[str, Any]): if inputs: raise ValueError( "Node {} expected no inputs, " @@ -410,49 +409,49 @@ def _run_no_inputs(self, inputs: Dict[str, Any]): return self._decorated_func() - def _run_one_input(self, inputs: Dict[str, Any]): - if len(inputs) != 1 or self._inputs not in inputs: + def _run_with_one_input(self, inputs: Dict[str, Any], node_input: str): + if len(inputs) != 1 or node_input not in inputs: raise ValueError( "Node {} expected one input named '{}', " "but got the following {} input(s) instead: {}".format( - str(self), self._inputs, len(inputs), list(sorted(inputs.keys())) + str(self), node_input, len(inputs), list(sorted(inputs.keys())) ) ) - return self._decorated_func(inputs[self._inputs]) + return self._decorated_func(inputs[node_input]) - def _run_with_list(self, inputs: Dict[str, Any]): - all_available = set(self._inputs).issubset(inputs.keys()) - if len(self._inputs) != len(inputs) or not all_available: + def _run_with_list(self, inputs: Dict[str, Any], node_inputs: List[str]): + all_available = set(node_inputs).issubset(inputs.keys()) + if len(node_inputs) != len(inputs) or not all_available: # This can be split in future into two cases, one successful raise ValueError( "Node {} expected {} input(s) {}, " "but got the following {} input(s) instead: {}.".format( str(self), - len(self._inputs), - self._inputs, + len(node_inputs), + node_inputs, len(inputs), list(sorted(inputs.keys())), ) ) # Ensure the function gets the inputs in the correct order - return self._decorated_func(*[inputs[item] for item in self._inputs]) + return self._decorated_func(*[inputs[item] for item in node_inputs]) - def _run_with_dict(self, inputs: Dict[str, Any]): - all_available = set(self._inputs.values()).issubset(inputs.keys()) - if len(set(self._inputs.values())) != len(inputs) or not all_available: + def _run_with_dict(self, inputs: Dict[str, Any], node_inputs: Dict[str, str]): + all_available = set(node_inputs.values()).issubset(inputs.keys()) + if len(set(node_inputs.values())) != len(inputs) or not all_available: # This can be split in future into two cases, one successful raise ValueError( "Node {} expected {} input(s) {}, " "but got the following {} input(s) instead: {}.".format( str(self), - len(set(self._inputs.values())), - list(sorted(set(self._inputs.values()))), + len(set(node_inputs.values())), + list(sorted(set(node_inputs.values()))), len(inputs), list(sorted(inputs.keys())), ) ) - kwargs = {arg: inputs[alias] for arg, alias in self._inputs.items()} + kwargs = {arg: inputs[alias] for arg, alias in node_inputs.items()} return self._decorated_func(**kwargs) def _outputs_to_dictionary(self, outputs): @@ -555,8 +554,8 @@ def _to_list(element: Union[None, str, List[str], Dict[str, str]]) -> List: def _process_inputs_for_bind(inputs: Union[None, str, List[str], Dict[str, str]]): # Safeguard that we do not mutate list inputs inputs = copy.copy(inputs) - args = [] - kwargs = {} + args = [] # type: List[str] + kwargs = {} # type: Dict[str, str] if isinstance(inputs, str): args = [inputs] elif isinstance(inputs, list): diff --git a/kedro/pipeline/pipeline.py b/kedro/pipeline/pipeline.py index c1fe683e88..e37b587bad 100644 --- a/kedro/pipeline/pipeline.py +++ b/kedro/pipeline/pipeline.py @@ -34,7 +34,7 @@ import json from collections import Counter, defaultdict from itertools import chain -from typing import Callable, Dict, Iterable, List, Set, Union +from typing import Callable, Dict, Iterable, List, Optional, Set, Union from toposort import CircularDependencyError as ToposortCircleError from toposort import toposort @@ -137,12 +137,14 @@ def __init__(self, nodes: Iterable[Union[Node, "Pipeline"]], name: str = None): self._nodes_by_name = {node.name: node for node in nodes} _validate_unique_outputs(nodes) - self._nodes_by_input = defaultdict(set) # input: {nodes with input} + # input -> nodes with input + self._nodes_by_input = defaultdict(set) # type: Dict[str, Set[Node]] for node in nodes: for input_ in node.inputs: self._nodes_by_input[_get_transcode_compatible_name(input_)].add(node) - self._nodes_by_output = {} # output: node + # output -> node with output + self._nodes_by_output = {} # type: Dict[str, Node] for node in nodes: for output in node.outputs: self._nodes_by_output[_get_transcode_compatible_name(output)] = node @@ -285,7 +287,7 @@ def set_to_string(set_of_strings): ) @property - def name(self) -> str: + def name(self) -> Optional[str]: """Get the pipeline name. Returns: @@ -303,7 +305,9 @@ def node_dependencies(self) -> Dict[Node, Set[Node]]: Dictionary where keys are nodes and values are sets made up of their parent nodes. Independent nodes have this as empty sets. """ - dependencies = {node: set() for node in self._nodes} + dependencies = { + node: set() for node in self._nodes + } # type: Dict[Node, Set[Node]] for parent in self._nodes: for output in parent.outputs: for child in self._nodes_by_input[ @@ -486,7 +490,7 @@ def from_inputs(self, *inputs: str) -> "Pipeline": """ starting = set(inputs) - result = set() + result = set() # type: Set[Node] next_nodes = self._get_nodes_with_inputs_transcode_compatible(starting) while next_nodes: @@ -551,7 +555,7 @@ def to_outputs(self, *outputs: str) -> "Pipeline": """ starting = set(outputs) - result = set() + result = set() # type: Set[Node] next_nodes = self._get_nodes_with_outputs_transcode_compatible(starting) while next_nodes: @@ -663,7 +667,7 @@ def to_json(self): return json.dumps(pipeline_versioned) -def _validate_no_node_list(nodes: Iterable[Node]): +def _validate_no_node_list(nodes: Iterable[Union[Node, Pipeline]]): if nodes is None: raise ValueError( "`nodes` argument of `Pipeline` is None. " diff --git a/kedro/runner/parallel_runner.py b/kedro/runner/parallel_runner.py index 3bcf50f193..1a1a90d60f 100644 --- a/kedro/runner/parallel_runner.py +++ b/kedro/runner/parallel_runner.py @@ -32,10 +32,10 @@ from collections import Counter from concurrent.futures import FIRST_COMPLETED, ProcessPoolExecutor, wait from itertools import chain -from multiprocessing.managers import BaseProxy, SyncManager +from multiprocessing.managers import BaseProxy, SyncManager # type: ignore from multiprocessing.reduction import ForkingPickler from pickle import PicklingError -from typing import Iterable +from typing import Iterable, Set from kedro.io import AbstractDataSet, DataCatalog, MemoryDataSet from kedro.pipeline import Pipeline @@ -163,8 +163,8 @@ def _run( # pylint: disable=too-many-locals load_counts = Counter(chain.from_iterable(n.inputs for n in nodes)) node_dependencies = pipeline.node_dependencies - todo_nodes = node_dependencies.keys() - done_nodes = set() + todo_nodes = set(node_dependencies.keys()) + done_nodes = set() # type: Set[Node] futures = set() done = None with ProcessPoolExecutor() as pool: diff --git a/test_requirements.txt b/test_requirements.txt index ee64599adb..ce17add66e 100644 --- a/test_requirements.txt +++ b/test_requirements.txt @@ -18,3 +18,4 @@ psutil==5.4.7 wheel==0.32.2 biopython>=1.73, <2.0 requests>=2.21.0, <3.0 +mypy<=1.0 diff --git a/tests/config/test_config.py b/tests/config/test_config.py index a2ac29610f..0ab6568527 100644 --- a/tests/config/test_config.py +++ b/tests/config/test_config.py @@ -231,6 +231,18 @@ def test_ignore_hidden_keys(self, tmp_path): with pytest.raises(ValueError, match=pattern): conf.get("**/catalog*") + def test_lots_of_duplicates(self, tmp_path): + """Check that the config key starting with `_` are ignored and also + don't cause a config merge error""" + data = {str(i): i for i in range(100)} + _write_yaml(tmp_path / "base" / "catalog1.yml", data) + _write_yaml(tmp_path / "base" / "catalog2.yml", data) + + conf = ConfigLoader(str(tmp_path)) + pattern = r"^Duplicate keys found in .*catalog2\.yml and\:\n\- .*catalog1\.yml\: .*\.\.\.$" + with pytest.raises(ValueError, match=pattern): + conf.get("**/catalog*") + @use_config_dir def test_same_key_in_same_dir(self, tmp_path, conf_paths, base_config): """Check the error if 2 files in the same config dir contain diff --git a/tests/runner/test_parallel_runner.py b/tests/runner/test_parallel_runner.py index c13aff401d..8a75bc56c2 100644 --- a/tests/runner/test_parallel_runner.py +++ b/tests/runner/test_parallel_runner.py @@ -28,7 +28,7 @@ # pylint: disable=no-member -from multiprocessing.managers import BaseProxy +from multiprocessing.managers import BaseProxy # type: ignore from typing import Any, Dict import pytest From 7d8687b7c74dc09b8dac62c1694f03c0c867a988 Mon Sep 17 00:00:00 2001 From: Dmitrii Deriabin <44967953+DmitriiDeriabinQB@users.noreply.github.com> Date: Wed, 10 Jul 2019 14:30:55 +0100 Subject: [PATCH 22/83] [FIX] Reduce the log level of anyconfig (#130) Update default log level from INFO to WARNING for anyconfig --- RELEASE.md | 1 + .../source/03_tutorial/04_create_pipelines.md | 12 ------- .../04_user_guide/05_nodes_and_pipelines.md | 8 ----- docs/source/04_user_guide/06_logging.md | 14 ++++++++ features/steps/cli_steps.py | 32 ++++++++++++++++--- kedro/config/logging.yml | 5 +++ .../conf/base/logging.yml | 5 +++ 7 files changed, 52 insertions(+), 25 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 8b268839ef..16ef57e161 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -6,6 +6,7 @@ ## Bug fixes and other changes * Documentation improvements +* `anyconfig` default log level changed from `INFO` to `WARNING` ## Breaking changes to the API * Merged `FilepathVersionMixIn` and `S3VersionMixIn` under one abstract class `AbstractVersionedDataSet` which extends`AbstractDataSet`. diff --git a/docs/source/03_tutorial/04_create_pipelines.md b/docs/source/03_tutorial/04_create_pipelines.md index f3efcce66f..18c3988651 100644 --- a/docs/source/03_tutorial/04_create_pipelines.md +++ b/docs/source/03_tutorial/04_create_pipelines.md @@ -116,10 +116,6 @@ You should see output similar to the following kedro run 2019-04-18 19:16:15,206 - root - INFO - ** Kedro project kedro-tutorial -2019-04-18 19:16:15,207 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/logging.yml -2019-04-18 19:16:15,221 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/catalog.yml -2019-04-18 19:16:15,225 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/local/credentials.yml -2019-04-18 19:16:15,227 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/parameters.yml 2019-04-18 19:16:15,233 - kedro.io.data_catalog - INFO - Loading data from `companies` (CSVLocalDataSet)... 2019-04-18 19:16:15,365 - kedro.io.data_catalog - INFO - Saving data to `preprocessed_companies` (MemoryDataSet)... 2019-04-18 19:16:15,366 - kedro.runner.sequential_runner - INFO - Completed 1 out of 2 tasks @@ -269,10 +265,6 @@ You may want to test that all is working with your code at this point: kedro run 2019-04-19 15:44:21,748 - root - INFO - ** Kedro project kedro-tutorial -2019-04-19 15:44:21,749 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/logging.yml -2019-04-19 15:44:21,762 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/catalog.yml -2019-04-19 15:44:21,769 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/local/credentials.yml -2019-04-19 15:44:21,771 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/parameters.yml 2019-04-19 15:44:21,777 - kedro.io.data_catalog - INFO - Loading data from `companies` (CSVLocalDataSet)... 2019-04-19 15:44:21,909 - kedro.io.data_catalog - INFO - Saving data to `preprocessed_companies` (CSVLocalDataSet)... 2019-04-19 15:44:22,224 - kedro.runner.sequential_runner - INFO - Completed 1 out of 3 tasks @@ -458,10 +450,6 @@ You should see output similar to the following: kedro run 2019-04-19 16:02:47,383 - root - INFO - ** Kedro project kedro-tutorial -2019-04-19 16:02:47,385 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/logging.yml -2019-04-19 16:02:47,398 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/catalog.yml -2019-04-19 16:02:47,405 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/local/credentials.yml -2019-04-19 16:02:47,407 - anyconfig - INFO - Loading: /projects/kedro-tutorial/conf/base/parameters.yml 2019-04-19 16:02:47,414 - kedro.io.data_catalog - INFO - Loading data from `companies` (CSVLocalDataSet)... 2019-04-19 16:02:47,540 - kedro.io.data_catalog - INFO - Saving data to `preprocessed_companies` (CSVLocalDataSet)... 2019-04-19 16:02:47,854 - kedro.runner.sequential_runner - INFO - Completed 1 out of 6 tasks diff --git a/docs/source/04_user_guide/05_nodes_and_pipelines.md b/docs/source/04_user_guide/05_nodes_and_pipelines.md index d587b65785..5ba8dfa3fa 100644 --- a/docs/source/04_user_guide/05_nodes_and_pipelines.md +++ b/docs/source/04_user_guide/05_nodes_and_pipelines.md @@ -427,10 +427,6 @@ kedro run ```console 2019-04-26 17:19:01,341 - root - INFO - ** Kedro project new-kedro-project -2019-04-26 17:19:01,343 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/logging.yml -2019-04-26 17:19:01,349 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/catalog.yml -2019-04-26 17:19:01,351 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/credentials.yml -2019-04-26 17:19:01,352 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/parameters.yml 2019-04-26 17:19:01,360 - kedro.io.data_catalog - INFO - Loading data from `example_iris_data` (CSVLocalDataSet)... 2019-04-26 17:19:01,387 - kedro.io.data_catalog - INFO - Loading data from `parameters` (MemoryDataSet)... 2019-04-26 17:19:01,437 - kedro.io.data_catalog - INFO - Saving data to `example_test_x` (MemoryDataSet)... @@ -476,10 +472,6 @@ kedro run --runner=ParallelRunner ```console 2019-04-26 17:20:45,012 - root - INFO - ** Kedro project new-kedro-project -2019-04-26 17:20:45,012 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/logging.yml -2019-04-26 17:20:45,014 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/catalog.yml -2019-04-26 17:20:45,016 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/credentials.yml -2019-04-26 17:20:45,016 - anyconfig - INFO - Loading: /private/tmp/new-kedro-project/conf/base/parameters.yml 2019-04-26 17:20:45,081 - kedro.io.data_catalog - INFO - Loading data from `example_iris_data` (CSVLocalDataSet)... 2019-04-26 17:20:45,099 - kedro.io.data_catalog - INFO - Loading data from `parameters` (MemoryDataSet)... 2019-04-26 17:20:45,115 - kedro.io.data_catalog - INFO - Saving data to `example_test_x` (AutoProxy[MemoryDataSet])... diff --git a/docs/source/04_user_guide/06_logging.md b/docs/source/04_user_guide/06_logging.md index 8ba47996b3..9479040222 100644 --- a/docs/source/04_user_guide/06_logging.md +++ b/docs/source/04_user_guide/06_logging.md @@ -30,3 +30,17 @@ log = logging.getLogger(__name__) log.warning('Issue warning') log.info('Send information') ``` + +## Logging for `anyconfig` + +By default, [anyconfig](https://github.com/ssato/python-anyconfig) library that is used by `kedro` to read configuration files emits a log message with `INFO` level on every read. To reduce the amount of logs being sent for CLI calls, default project logging configuration in `conf/base/logging.yml` sets the level for `anyconfig` logger to `WARNING`. + +If you would like `INFO` level messages to propagate, you can update `anyconfig` logger level in `conf/base/logging.yml` as follows: + +```yaml +loggers: + anyconfig: + level: INFO # change + handlers: [console, info_file_handler, error_file_handler] + propagate: no +``` diff --git a/features/steps/cli_steps.py b/features/steps/cli_steps.py index 55ec52f610..e93dd797fd 100644 --- a/features/steps/cli_steps.py +++ b/features/steps/cli_steps.py @@ -207,11 +207,35 @@ def create_new_env(context, env_name): env_path = context.root_project_dir / "conf" / env_name env_path.mkdir() - for config_name in ("catalog", "parameters", "logging", "credentials"): + for config_name in ("catalog", "parameters", "credentials"): path = env_path / "{}.yml".format(config_name) with path.open("w") as config_file: yaml.dump({}, config_file, default_flow_style=False) + # overwrite the log level for anyconfig from WARNING to INFO + logging_path = env_path / "logging.yml" + logging_json = { + "loggers": { + "anyconfig": { + "level": "INFO", + "handlers": ["console", "info_file_handler", "error_file_handler"], + "propagate": "no", + }, + "kedro.io": { + "level": "INFO", + "handlers": ["console", "info_file_handler", "error_file_handler"], + "propagate": "no", + }, + "kedro.pipeline": { + "level": "INFO", + "handlers": ["console", "info_file_handler", "error_file_handler"], + "propagate": "no", + }, + } + } + with logging_path.open("w") as config_file: + yaml.dump(logging_json, config_file, default_flow_style=False) + @given("the example test has been set to fail") def modify_example_test_to_fail(context): @@ -467,15 +491,13 @@ def check_environment_used(context, env): else: stdout = context.result.stdout - for config_name in ("catalog", "parameters", "credentials", "logging"): + for config_name in ("catalog", "parameters", "credentials"): path = env_path.joinpath("{}.yml".format(config_name)) if path.exists(): msg = "Loading: {}".format(str(path.resolve())) assert msg in stdout, ( "Expected the following message segment to be printed on stdout: " - "{exp_msg},\nbut got {actual_msg}".format( - exp_msg=msg, actual_msg=stdout - ) + "{0}, but got:\n{1}".format(msg, stdout) ) diff --git a/kedro/config/logging.yml b/kedro/config/logging.yml index c51bc0be17..4aee42b66d 100644 --- a/kedro/config/logging.yml +++ b/kedro/config/logging.yml @@ -32,6 +32,11 @@ handlers: delay: True loggers: + anyconfig: + level: WARNING + handlers: [console] + propagate: no + kedro.cli: level: WARNING handlers: [console] diff --git a/kedro/template/{{ cookiecutter.repo_name }}/conf/base/logging.yml b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/logging.yml index cc27cf9405..a4dcad2e08 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/conf/base/logging.yml +++ b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/logging.yml @@ -35,6 +35,11 @@ handlers: delay: True loggers: + anyconfig: + level: WARNING + handlers: [console, info_file_handler, error_file_handler] + propagate: no + kedro.io: level: INFO handlers: [console, info_file_handler, error_file_handler] From 065b7cc45da28b67394fb6205d73333c7095d962 Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Thu, 11 Jul 2019 14:52:00 +0100 Subject: [PATCH 23/83] Move Click version up (#134) --- requirements.txt | 2 +- tests/cli/test_cli.py | 28 +++++++++++++++++++++------- 2 files changed, 22 insertions(+), 8 deletions(-) diff --git a/requirements.txt b/requirements.txt index f7fe55cd38..772fc88b01 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ -click==6.7 +click<8.0 cookiecutter==1.6.0 pandas>=0.23.0, <0.25.0 PyYAML>=4.2, <6.0 diff --git a/tests/cli/test_cli.py b/tests/cli/test_cli.py index 10f99dd165..18324e8d9d 100644 --- a/tests/cli/test_cli.py +++ b/tests/cli/test_cli.py @@ -46,27 +46,32 @@ PACKAGE_NAME = "my_project" -@click.group() +@click.group(name="stub_cli") def stub_cli(): """Stub CLI group description.""" print("group callback") -@stub_cli.command() +@stub_cli.command(name="stub_command") def stub_command(): print("command callback") -@forward_command(stub_cli) +@forward_command(stub_cli, name="forwarded_command") def forwarded_command(args): print("fred", args) -@forward_command(stub_cli, forward_help=True) +@forward_command(stub_cli, name="forwarded_help", forward_help=True) def forwarded_help(args): print("fred", args) +@forward_command(stub_cli) +def unnamed(args): + print("fred", args) + + @fixture def invoke_result(cli_runner, request): cmd_collection = CommandCollection(("Commands", [cli, stub_cli])) @@ -182,7 +187,16 @@ class TestForwardCommand: def test_regular(self, cli_runner): """Test forwarded command invocation.""" result = cli_runner.invoke(stub_cli, ["forwarded_command", "bob"]) - assert result.exit_code == 0 + assert result.exit_code == 0, result.output + assert "bob" in result.output + assert "fred" in result.output + assert "--help" not in result.output + assert "forwarded_command" not in result.output + + def test_unnamed(self, cli_runner): + """Test forwarded command invocation.""" + result = cli_runner.invoke(stub_cli, ["unnamed", "bob"]) + assert result.exit_code == 0, result.output assert "bob" in result.output assert "fred" in result.output assert "--help" not in result.output @@ -191,7 +205,7 @@ def test_regular(self, cli_runner): def test_help(self, cli_runner): """Test help output for the command with help flags not forwarded.""" result = cli_runner.invoke(stub_cli, ["forwarded_command", "bob", "--help"]) - assert result.exit_code == 0 + assert result.exit_code == 0, result.output assert "bob" not in result.output assert "fred" not in result.output assert "--help" in result.output @@ -200,7 +214,7 @@ def test_help(self, cli_runner): def test_forwarded_help(self, cli_runner): """Test help output for the command with forwarded help flags.""" result = cli_runner.invoke(stub_cli, ["forwarded_help", "bob", "--help"]) - assert result.exit_code == 0 + assert result.exit_code == 0, result.output assert "bob" in result.output assert "fred" in result.output assert "--help" in result.output From ad84040acf81f694f4db3ec7e0024d4c50e6117d Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Thu, 11 Jul 2019 15:57:34 +0100 Subject: [PATCH 24/83] Test our interaction with the entry point system (#135) --- kedro/cli/cli.py | 16 ++++++++------ tests/cli/test_cli.py | 50 ++++++++++++++++++++++++++++++++++++++++++- 2 files changed, 58 insertions(+), 8 deletions(-) diff --git a/kedro/cli/cli.py b/kedro/cli/cli.py index 38d929ac74..e00c2778ea 100644 --- a/kedro/cli/cli.py +++ b/kedro/cli/cli.py @@ -509,7 +509,7 @@ def get_project_context(key: Any, default: Any = NO_DEFAULT) -> Any: # pragma: return deepcopy(value) -def _get_plugin_command_groups(name): # pragma: no cover +def _get_plugin_command_groups(name): entry_points = pkg_resources.iter_entry_points( group="kedro.{}_commands".format(name) ) @@ -524,12 +524,7 @@ def _get_plugin_command_groups(name): # pragma: no cover return groups -def main(): # pragma: no cover - """Main entry point, look for a `kedro_cli.py` and if found add its - commands to `kedro`'s then invoke the cli. - """ - - # Run plugin initialization +def _init_plugins(): for entry_point in pkg_resources.iter_entry_points(group="kedro.init"): try: init_hook = entry_point.load() @@ -537,6 +532,13 @@ def main(): # pragma: no cover except Exception: # pylint: disable=broad-except _handle_exception("Initializing {}".format(str(entry_point)), end=False) + +def main(): # pragma: no cover + """Main entry point, look for a `kedro_cli.py` and if found add its + commands to `kedro`'s then invoke the cli. + """ + _init_plugins() + global_groups = [cli] global_groups.extend(_get_plugin_command_groups("global")) project_groups = [] diff --git a/tests/cli/test_cli.py b/tests/cli/test_cli.py index 18324e8d9d..9a77f8c8ea 100644 --- a/tests/cli/test_cli.py +++ b/tests/cli/test_cli.py @@ -34,7 +34,7 @@ from pytest import fixture, mark, raises, warns from kedro import __version__ as version -from kedro.cli.cli import cli +from kedro.cli.cli import _get_plugin_command_groups, _init_plugins, cli from kedro.cli.utils import ( CommandCollection, KedroCliError, @@ -349,3 +349,51 @@ def test_export_nodes_json_error(self, nodes_path): pattern = "Provided filepath is not a Jupyter notebook" with raises(KedroCliError, match=pattern): export_nodes(random_file, output_path) + + +@fixture +def entry_points(mocker): + return mocker.patch("pkg_resources.iter_entry_points") + + +@fixture +def entry_point(mocker, entry_points): + ep = mocker.MagicMock() + entry_points.return_value = [ep] + return ep + + +class TestEntryPoints: + def test_project_groups(self, entry_points, entry_point): + entry_point.load.return_value = "groups" + groups = _get_plugin_command_groups("project") + assert groups == ["groups"] + entry_points.assert_called_once_with(group="kedro.project_commands") + + def test_project_error_is_caught(self, entry_points, entry_point): + entry_point.load.side_effect = Exception() + groups = _get_plugin_command_groups("project") + assert groups == [] + entry_points.assert_called_once_with(group="kedro.project_commands") + + def test_global_groups(self, entry_points, entry_point): + entry_point.load.return_value = "groups" + groups = _get_plugin_command_groups("global") + assert groups == ["groups"] + entry_points.assert_called_once_with(group="kedro.global_commands") + + def test_global_error_is_caught(self, entry_points, entry_point): + entry_point.load.side_effect = Exception() + groups = _get_plugin_command_groups("global") + assert groups == [] + entry_points.assert_called_once_with(group="kedro.global_commands") + + def test_init(self, entry_points, entry_point): + _init_plugins() + entry_points.assert_called_once_with(group="kedro.init") + entry_point.load().assert_called_once_with() + + def test_init_error_is_caught(self, entry_points, entry_point): + entry_point.load.side_effect = Exception() + _init_plugins() + entry_points.assert_called_once_with(group="kedro.init") From 26f93f940a3c2e419ec66e470f95f39aa7bcc515 Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Fri, 12 Jul 2019 10:43:35 +0100 Subject: [PATCH 25/83] Show installed plugins and versions in kedro info (#136) --- RELEASE.md | 3 ++- kedro/cli/cli.py | 39 ++++++++++++++++++++++++++++++++------- tests/cli/test_cli.py | 17 +++++++++++++++++ 3 files changed, 51 insertions(+), 8 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 16ef57e161..a2a668cf8a 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -7,6 +7,7 @@ ## Bug fixes and other changes * Documentation improvements * `anyconfig` default log level changed from `INFO` to `WARNING` +* Add information on installed plugins to `kedro info` ## Breaking changes to the API * Merged `FilepathVersionMixIn` and `S3VersionMixIn` under one abstract class `AbstractVersionedDataSet` which extends`AbstractDataSet`. @@ -16,7 +17,7 @@ If you defined any custom dataset classes which support versioning in your proje 1. Make sure your dataset inherits from `AbstractVersionedDataSet` only. 2. Call `super().__init__()` with the appropriate arguments in the dataset's `__init__`. If storing on local filesystem, providing the filepath and the version is enough. Otherwise, you should also pass in an `exists_function` and a `glob_function` that emulate `exists` and `glob` in a different filesystem (see `CSVS3DataSet` as an example). -3. Remove setting of the `_filepath` and `_version` attributes in the dataset's `__init__`, as this is take care of in the base abstract class. +3. Remove setting of the `_filepath` and `_version` attributes in the dataset's `__init__`, as this is taken care of in the base abstract class. 4. Any calls to `_get_load_path` and `_get_save_path` methods should take no arguments. 5. Ensure you convert the output of `_get_load_path` and `_get_save_path` appropriately, as these now return [`PurePath`s](https://docs.python.org/3/library/pathlib.html#pure-paths) instead of strings. 6. Make sure `_check_paths_consistency` is called with [`PurePath`s](https://docs.python.org/3/library/pathlib.html#pure-paths) as input arguments, instead of strings. diff --git a/kedro/cli/cli.py b/kedro/cli/cli.py index e00c2778ea..0957a047b8 100644 --- a/kedro/cli/cli.py +++ b/kedro/cli/cli.py @@ -38,6 +38,7 @@ import sys import traceback import webbrowser +from collections import defaultdict from copy import deepcopy from pathlib import Path from typing import Any, Callable, Dict, List, Union @@ -89,6 +90,13 @@ def cli(verbose): _KEDRO_CONTEXT["verbose"] = verbose +ENTRY_POINT_GROUPS = { + "global": "kedro.global_commands", + "project": "kedro.project_commands", + "init": "kedro.init", +} + + @cli.command() def info(): """Get more information about kedro. @@ -100,6 +108,24 @@ def info(): "the Kedro initiative at QuantumBlack." ) + plugin_versions = {} + plugin_hooks = defaultdict(set) + for hook, group in ENTRY_POINT_GROUPS.items(): + for entry_point in pkg_resources.iter_entry_points(group=group): + module_name = entry_point.module_name.split(".")[0] + plugin_version = pkg_resources.get_distribution(module_name).version + plugin_versions[module_name] = plugin_version + plugin_hooks[module_name].add(hook) + + click.echo() + if plugin_versions: + click.echo("Installed plugins:") + for plugin_name, plugin_version in sorted(plugin_versions.items()): + hooks = ",".join(sorted(plugin_hooks[plugin_name])) + click.echo("{}: {} (hooks:{})".format(plugin_name, plugin_version, hooks)) + else: + click.echo("No plugins installed") + @cli.command(short_help="Create a new kedro project.") @click.option( @@ -510,22 +536,21 @@ def get_project_context(key: Any, default: Any = NO_DEFAULT) -> Any: # pragma: def _get_plugin_command_groups(name): - entry_points = pkg_resources.iter_entry_points( - group="kedro.{}_commands".format(name) - ) - groups = [] + entry_points = pkg_resources.iter_entry_points(group=ENTRY_POINT_GROUPS[name]) + command_groups = [] for entry_point in entry_points: try: - groups.append(entry_point.load()) + command_groups.append(entry_point.load()) except Exception: # pylint: disable=broad-except _handle_exception( "Loading {} commands from {}".format(name, str(entry_point)), end=False ) - return groups + return command_groups def _init_plugins(): - for entry_point in pkg_resources.iter_entry_points(group="kedro.init"): + group = ENTRY_POINT_GROUPS["init"] + for entry_point in pkg_resources.iter_entry_points(group=group): try: init_hook = entry_point.load() init_hook() diff --git a/tests/cli/test_cli.py b/tests/cli/test_cli.py index 9a77f8c8ea..f2261b8289 100644 --- a/tests/cli/test_cli.py +++ b/tests/cli/test_cli.py @@ -127,6 +127,23 @@ def test_info_contains_qb(self, cli_runner): assert result.exit_code == 0 assert "QuantumBlack" in result.output + def test_info_contains_plugin_versions(self, cli_runner, entry_point, mocker): + get_distribution = mocker.patch("pkg_resources.get_distribution") + get_distribution().version = "1.0.2" + entry_point.module_name = "bob.fred" + + result = cli_runner.invoke(cli, ["info"]) + assert result.exit_code == 0 + assert "bob: 1.0.2 (hooks:global,init,project)" in result.output + + entry_point.load.assert_not_called() + + @mark.usefixtures("entry_points") + def test_info_no_plugins(self, cli_runner): + result = cli_runner.invoke(cli, ["info"]) + assert result.exit_code == 0 + assert "No plugins installed" in result.output + def test_help(self, cli_runner): """Check that `kedro --help` returns a valid help message.""" result = cli_runner.invoke(cli, ["--help"]) From 514a5bb1e5ef2fd0100df8b57072f9f37a597e09 Mon Sep 17 00:00:00 2001 From: Nasef Khan Date: Mon, 15 Jul 2019 10:09:30 +0100 Subject: [PATCH 26/83] Remove java installation steps as kedro_docker image fixed (#139) --- .circleci/config.yml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 01f20d0c7f..a4997cd97e 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -5,11 +5,6 @@ jobs: - image: quantumblacklabs/kedro_builder:3.5.2 steps: - checkout - - run: - name: Install Java 1.8 - command: | - sudo apt install openjdk-8-jdk - sudo update-alternatives --set java /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java - run: &CONDA_SETUP name: Activate conda environment command: | From e51b45018730367f92213c57ee93bc6753587574 Mon Sep 17 00:00:00 2001 From: Deepyaman Datta Date: Mon, 15 Jul 2019 10:28:19 -0400 Subject: [PATCH 27/83] Make PEP 561 compatible packages (#53) --- kedro/py.typed | 1 + setup.py | 3 ++- 2 files changed, 3 insertions(+), 1 deletion(-) create mode 100644 kedro/py.typed diff --git a/kedro/py.typed b/kedro/py.typed new file mode 100644 index 0000000000..6f0d2848cd --- /dev/null +++ b/kedro/py.typed @@ -0,0 +1 @@ +# Marker file for PEP 561. The kedro package uses inline types. diff --git a/setup.py b/setup.py index 6633ae64d3..4833644141 100644 --- a/setup.py +++ b/setup.py @@ -81,7 +81,8 @@ install_requires=requires, author="QuantumBlack Labs", entry_points={"console_scripts": ["kedro = kedro.cli:main"]}, - package_data={name: template_files + doc_html_files}, + package_data={name: ["py.typed"] + template_files + doc_html_files}, + zip_safe=False, keywords="pipelines, machine learning, data pipelines, data science, data engineering", classifiers=[ "Development Status :: 4 - Beta", From 5cbaa774be1fbbe425645116a34e42e6042ff2b9 Mon Sep 17 00:00:00 2001 From: Mayur Chougule Date: Mon, 15 Jul 2019 11:39:56 -0400 Subject: [PATCH 28/83] Add an S3 Parquet dataset for Pandas in `contrib` (#39) --- RELEASE.md | 3 +- docs/source/04_user_guide/07_advanced_io.md | 1 + docs/source/05_api_docs/kedro.contrib.io.rst | 1 + kedro/contrib/io/parquet/README.md | 36 +++ kedro/contrib/io/parquet/__init__.py | 30 ++ kedro/contrib/io/parquet/parquet_s3.py | 164 +++++++++++ tests/contrib/io/conftest.py | 48 ++++ tests/contrib/io/parquet/__init__.py | 0 tests/contrib/io/parquet/test_parquet_s3.py | 277 +++++++++++++++++++ 9 files changed, 559 insertions(+), 1 deletion(-) create mode 100644 kedro/contrib/io/parquet/README.md create mode 100644 kedro/contrib/io/parquet/__init__.py create mode 100644 kedro/contrib/io/parquet/parquet_s3.py create mode 100644 tests/contrib/io/conftest.py create mode 100644 tests/contrib/io/parquet/__init__.py create mode 100644 tests/contrib/io/parquet/test_parquet_s3.py diff --git a/RELEASE.md b/RELEASE.md index a2a668cf8a..2b2f213cce 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -3,6 +3,7 @@ ## Major features and improvements * Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter notebook cells into Kedro nodes. * Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config). +* Added a new I/O module `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) ## Bug fixes and other changes * Documentation improvements @@ -23,7 +24,7 @@ If you defined any custom dataset classes which support versioning in your proje 6. Make sure `_check_paths_consistency` is called with [`PurePath`s](https://docs.python.org/3/library/pathlib.html#pure-paths) as input arguments, instead of strings. ## Thanks for supporting contributions -[Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman) +[Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman), [Mayur Chougule](https://github.com/mmchougule) # Release 0.14.3 diff --git a/docs/source/04_user_guide/07_advanced_io.md b/docs/source/04_user_guide/07_advanced_io.md index 72bc336e7b..a93b02fe57 100644 --- a/docs/source/04_user_guide/07_advanced_io.md +++ b/docs/source/04_user_guide/07_advanced_io.md @@ -180,6 +180,7 @@ Currently the following datasets support versioning: - `HDFS3DataSet` - `JSONLocalDataSet` - `ParquetLocalDataSet` +- `ParquetS3DataSet` - `PickleLocalDataSet` - `PickleS3DataSet` - `TextLocalDataSet` diff --git a/docs/source/05_api_docs/kedro.contrib.io.rst b/docs/source/05_api_docs/kedro.contrib.io.rst index bf79941d37..2158415a9b 100644 --- a/docs/source/05_api_docs/kedro.contrib.io.rst +++ b/docs/source/05_api_docs/kedro.contrib.io.rst @@ -23,3 +23,4 @@ kedro.contrib.io kedro.contrib.io.bioinformatics.BioSequenceLocalDataSet kedro.contrib.io.pyspark.SparkDataSet kedro.contrib.io.pyspark.SparkJDBCDataSet + kedro.contrib.io.parquet.ParquetS3DataSet diff --git a/kedro/contrib/io/parquet/README.md b/kedro/contrib/io/parquet/README.md new file mode 100644 index 0000000000..f94656050d --- /dev/null +++ b/kedro/contrib/io/parquet/README.md @@ -0,0 +1,36 @@ +## Description +A dataset class to load and save Parquet files on AWS S3. + + +## Context +If you want to use Pandas for smaller data sizes to deal with parquet files on S3. `ParquetS3DataSet ` class can be used. + + + +## Implementation +```python + +`ParquetS3DataSet` loads and saves data to a file in S3. It uses s3fs +to read and write from S3 and pandas to handle the parquet file. + +Example: +:: + >>> from kedro.contrib.io.parquet.parquet_s3 import ParquetS3DataSet + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> + >>> data_set = ParquetS3DataSet( + >>> filepath="temp3.parquet", + >>> bucket_name="test_bucket", + >>> credentials={ + >>> 'aws_access_key_id': 'YOUR_KEY', + >>> 'aws_access_secredt_key': 'YOUR SECRET'}, + >>> save_args={"compression": "GZIP"}) + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.equals(reloaded) + +``` diff --git a/kedro/contrib/io/parquet/__init__.py b/kedro/contrib/io/parquet/__init__.py new file mode 100644 index 0000000000..621364dec5 --- /dev/null +++ b/kedro/contrib/io/parquet/__init__.py @@ -0,0 +1,30 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +"""kedro.contrib.io.parquet provides I/O modules for Parquet files on S3.""" + +from .parquet_s3 import ParquetS3DataSet # NOQA diff --git a/kedro/contrib/io/parquet/parquet_s3.py b/kedro/contrib/io/parquet/parquet_s3.py new file mode 100644 index 0000000000..3224c38753 --- /dev/null +++ b/kedro/contrib/io/parquet/parquet_s3.py @@ -0,0 +1,164 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``ParquetS3DataSet`` is a data set used to load and save +data to parquet files on S3 +""" +from copy import deepcopy +from functools import partial +from pathlib import PurePosixPath +from typing import Any, Dict, Optional + +import pandas as pd +import pyarrow as pa +import pyarrow.parquet as pq +from s3fs.core import S3FileSystem + +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version + + +class ParquetS3DataSet(AbstractVersionedDataSet): + """``ParquetS3DataSet`` loads and saves data to a file in S3. It uses s3fs + to read and write from S3 and pandas to handle the parquet file. + + Example: + :: + + >>> from kedro.contrib.io.parquet.parquet_s3 import ParquetS3DataSet + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> + >>> data_set = ParquetS3DataSet( + >>> filepath="temp3.parquet", + >>> bucket_name="test_bucket", + >>> credentials={ + >>> 'aws_access_key_id': 'YOUR_KEY', + >>> 'aws_access_secredt_key': 'YOUR SECRET'}, + >>> save_args={"compression": "GZIP"}) + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.equals(reloaded) + """ + + # pylint: disable=too-many-arguments + def __init__( + self, + filepath: str, + bucket_name: str, + credentials: Optional[Dict[str, Any]] = None, + load_args: Optional[Dict[str, Any]] = None, + save_args: Optional[Dict[str, Any]] = None, + version: Version = None, + ) -> None: + """Creates a new instance of ``ParquetS3DataSet`` pointing to a concrete + parquet file on S3. + + Args: + filepath: Path to a parquet file + parquet collection or the directory of a multipart parquet. + bucket_name: S3 bucket name. + credentials: Credentials to access the S3 bucket, such as + ``aws_access_key_id``, ``aws_secret_access_key``. + load_args: Additional loading options `pyarrow`: + https://arrow.apache.org/docs/python/generated/pyarrow.parquet.read_table.html + or `fastparquet`: + https://fastparquet.readthedocs.io/en/latest/api.html#fastparquet.ParquetFile.to_pandas + save_args: Additional saving options for `pyarrow`: + https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.from_pandas + or `fastparquet`: + https://fastparquet.readthedocs.io/en/latest/api.html#fastparquet.write + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + """ + + _credentials = deepcopy(credentials) or {} + _s3 = S3FileSystem(client_kwargs=_credentials) + super().__init__( + PurePosixPath("{}/{}".format(bucket_name, filepath)), + version, + exists_function=_s3.exists, + glob_function=partial(_s3.glob, refresh=True), + ) + + default_load_args = {} # type: Dict[str, Any] + default_save_args = {} # type: Dict[str, Any] + + self._load_args = ( + {**default_load_args, **load_args} + if load_args is not None + else default_load_args + ) + self._save_args = ( + {**default_save_args, **save_args} + if save_args is not None + else default_save_args + ) + + self._bucket_name = bucket_name + self._credentials = _credentials + self._s3 = _s3 + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + bucket_name=self._bucket_name, + load_args=self._load_args, + save_args=self._save_args, + version=self._version, + ) + + def _load(self) -> pd.DataFrame: + load_path = PurePosixPath(self._get_load_path()) + + with self._s3.open(str(load_path), mode="rb") as s3_file: + return pd.read_parquet(s3_file, **self._load_args) + + def _save(self, data: pd.DataFrame) -> None: + save_path = PurePosixPath(self._get_save_path()) + + pq.write_table( + table=pa.Table.from_pandas(data), + where=str(save_path), + filesystem=self._s3, + **self._save_args, + ) + load_path = PurePosixPath(self._get_load_path()) + + self._check_paths_consistency(load_path, save_path) + + def _exists(self) -> bool: + try: + load_path = self._get_load_path() + except DataSetError: + return False + return self._s3.isfile(str(PurePosixPath(load_path))) diff --git a/tests/contrib/io/conftest.py b/tests/contrib/io/conftest.py new file mode 100644 index 0000000000..18145bd2f3 --- /dev/null +++ b/tests/contrib/io/conftest.py @@ -0,0 +1,48 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This file contains the fixtures that are reusable by any tests within +this directory. You don't need to import the fixtures as pytest will +discover them automatically. More info here: +https://docs.pytest.org/en/latest/fixture.html +""" + +from pytest import fixture + +from kedro.io.core import generate_current_version + + +@fixture(params=[None]) +def load_version(request): + return request.param + + +@fixture(params=[None]) +def save_version(request): + return request.param or generate_current_version() diff --git a/tests/contrib/io/parquet/__init__.py b/tests/contrib/io/parquet/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/io/parquet/test_parquet_s3.py b/tests/contrib/io/parquet/test_parquet_s3.py new file mode 100644 index 0000000000..ce141274c4 --- /dev/null +++ b/tests/contrib/io/parquet/test_parquet_s3.py @@ -0,0 +1,277 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=no-member + +import pandas as pd +import pyarrow as pa +import pyarrow.parquet as pq +import pytest +import s3fs +from botocore.exceptions import PartialCredentialsError +from moto import mock_s3 +from pandas.util.testing import assert_frame_equal +from s3fs import S3FileSystem + +from kedro.contrib.io.parquet import ParquetS3DataSet +from kedro.io import DataSetError, Version + +FILENAME = "test.parquet" +BUCKET_NAME = "test_bucket" +AWS_CREDENTIALS = dict( + aws_access_key_id="FAKE_ACCESS_KEY", aws_secret_access_key="FAKE_SECRET_KEY" +) + + +@pytest.fixture(params=[None]) +def load_args(request): + return request.param + + +@pytest.fixture(params=[None]) +def save_args(request): + return request.param + + +@pytest.fixture +def mocked_s3_bucket(): + """Create a bucket for testing using moto.""" + with mock_s3(): + conn = s3fs.core.boto3.client("s3", **AWS_CREDENTIALS) + conn.create_bucket(Bucket=BUCKET_NAME) + yield conn + + +@pytest.fixture +def dummy_dataframe() -> pd.DataFrame: + return pd.DataFrame( + {"Name": ["Alex", "Bob", "Clarke", "Dave"], "Age": [31, 12, 65, 29]} + ) + + +@pytest.fixture +def mocked_s3_object(mocked_s3_bucket, dummy_dataframe: pd.DataFrame): + """Creates test data and adds it to mocked S3 bucket.""" + table = pa.Table.from_pandas(dummy_dataframe) + pq.write_table(table, FILENAME) + + with open(FILENAME, 'rb') as f: + object_data = f.read() + mocked_s3_bucket.put_object( + Bucket=BUCKET_NAME, Key=FILENAME, Body=object_data + ) + return mocked_s3_bucket + + +@pytest.fixture +def s3_data_set(load_args, save_args): + return ParquetS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + credentials={'aws_access_key_id': 'YOUR_KEY', 'aws_secret_access_key': 'YOUR SECRET'}, + load_args=load_args, + save_args=save_args, + ) + + +@pytest.fixture +def mocked_s3_object_versioned(mocked_s3_bucket, dummy_dataframe, save_version): + """Create versioned test data and add it to mocked S3 bucket.""" + table = pa.Table.from_pandas(dummy_dataframe) + pq.write_table(table, FILENAME) + + with open(FILENAME, 'rb') as f: + object_data = f.read() + mocked_s3_bucket.put_object( + Bucket=BUCKET_NAME, + Key="{0}/{1}/{0}".format(FILENAME, save_version), + Body=object_data, + ) + return mocked_s3_bucket + + +@pytest.fixture +def versioned_s3_data_set(load_version, save_version): + return ParquetS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + credentials={'aws_access_key_id': 'YOUR_KEY', 'aws_secret_access_key': 'YOUR SECRET'}, + version=Version(load_version, save_version), + ) + + +# pylint: disable=protected-access +@pytest.fixture() +def s3fs_cleanup(): + # s3fs caches some connection details globally, which should be + # cleared so we get a clean slate every time we instantiate a S3FileSystem + yield + S3FileSystem._conn = {} + S3FileSystem._singleton = [None] + + +@pytest.mark.usefixtures("s3fs_cleanup") +class TestParquetS3DataSet: + @pytest.mark.parametrize( + "bad_credentials", + [{"aws_secret_access_key": "SECRET"}, {"aws_access_key_id": "KEY"}], + ) + def test_incomplete_credentials_load(self, bad_credentials): + """Test that incomplete credentials passed in credentials.yml raises exception.""" + with pytest.raises(PartialCredentialsError): + ParquetS3DataSet( + filepath=FILENAME, bucket_name=BUCKET_NAME, credentials=bad_credentials + ) + + def test_incorrect_credentials_load(self): + """Test that incorrect credential keys won't instantiate dataset.""" + pattern = "unexpected keyword argument" + with pytest.raises(TypeError, match=pattern): + ParquetS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + credentials={"access_token": "TOKEN", "access_key": "KEY"}, + ) + + @pytest.mark.parametrize( + "bad_credentials", + [{"aws_access_key_id": None, "aws_secret_access_key": None}, {}, None], + ) + def test_empty_credentials_load(self, bad_credentials): + parquet_data_set = ParquetS3DataSet( + filepath=FILENAME, bucket_name=BUCKET_NAME, credentials=bad_credentials + ) + pattern = r"Failed while loading data from data set ParquetS3DataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + parquet_data_set.load() + + def test_pass_credentials(self, mocker): + """Test that AWS credentials are passed successfully into boto3 + client instantiation on creating S3 connection.""" + mocker.patch("s3fs.core.boto3.Session.client") + s3_data_set = ParquetS3DataSet( + filepath=FILENAME, bucket_name=BUCKET_NAME, credentials=AWS_CREDENTIALS + ) + pattern = r"Failed while loading data from data set ParquetS3DataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + s3_data_set.load() + + assert s3fs.core.boto3.Session.client.call_count == 1 + args, kwargs = s3fs.core.boto3.Session.client.call_args_list[0] + assert args == ("s3",) + for k, v in AWS_CREDENTIALS.items(): + assert kwargs[k] == v + + @pytest.mark.usefixtures("mocked_s3_object") + def test_load_data(self, s3_data_set, dummy_dataframe): + """Test loading the data from S3.""" + loaded_data = s3_data_set.load() + assert_frame_equal(loaded_data, dummy_dataframe) + + @pytest.mark.usefixtures("mocked_s3_object") + def test_save_data(self, s3_data_set): + """Test saving the data to S3.""" + new_data = pd.DataFrame( + {"col1": ["a", "b"], "col2": ["c", "d"], "col3": ["e", "f"]} + ) + s3_data_set.save(new_data) + loaded_data = s3_data_set.load() + assert_frame_equal(loaded_data, new_data) + + @pytest.mark.usefixtures("mocked_s3_bucket") + def test_exists(self, s3_data_set, dummy_dataframe): + """Test `exists` method invocation for both existing and + nonexistent data set.""" + assert not s3_data_set.exists() + s3_data_set.save(dummy_dataframe) + assert s3_data_set.exists() + + +@pytest.mark.usefixtures("mocked_s3_bucket", "s3fs_cleanup") +class TestParquetS3DataSetVersioned: + def test_exists(self, versioned_s3_data_set, dummy_dataframe): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_s3_data_set.exists() + versioned_s3_data_set.save(dummy_dataframe) + + assert versioned_s3_data_set.exists() + + def test_no_versions(self, versioned_s3_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for ParquetS3DataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_s3_data_set.load() + + @pytest.mark.usefixtures("mocked_s3_object_versioned") + def test_prevent_override(self, versioned_s3_data_set, dummy_dataframe): + """Check the error when attempting to override the data set if the + corresponding parquet file for a given save version already exists in S3.""" + pattern = ( + r"Save path \`.+\` for ParquetS3DataSet\(.+\) must not exist " + r"if versioning is enabled" + ) + with pytest.raises(DataSetError, match=pattern): + versioned_s3_data_set.save(dummy_dataframe) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_s3_data_set, dummy_dataframe, load_version, save_version + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `{b}/{f}/{sv}/{f}` did not match load path " + r"`{b}/{f}/{lv}/{f}` for ParquetS3DataSet\(.+\)".format( + b=BUCKET_NAME, f=FILENAME, sv=save_version, lv=load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_s3_data_set.save(dummy_dataframe) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + ds = ParquetS3DataSet(filepath=FILENAME, bucket_name=BUCKET_NAME) + ds_versioned = ParquetS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + version=Version(load_version, save_version), + ) + assert FILENAME in str(ds) + assert "version" not in str(ds) + + assert FILENAME in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) From 571bb8009b930e67c073115c23ae2d03942f6499 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Tue, 16 Jul 2019 16:31:21 +0100 Subject: [PATCH 29/83] [KED-826] Use KedroContext class in project template (#111) --- RELEASE.md | 47 +++++- .../02_getting_started/04_hello_world.md | 4 +- docs/source/03_tutorial/01_workflow.md | 8 +- 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docs/source/04_user_guide/images/jupyter_notebook_ch10-1.png create mode 100644 docs/source/04_user_guide/images/jupyter_notebook_ch10-2.png delete mode 100644 docs/source/06_resources/03_ipython.md rename docs/source/06_resources/{04_lint.md => 03_lint.md} (95%) diff --git a/RELEASE.md b/RELEASE.md index 2b2f213cce..b8d973d667 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -1,7 +1,7 @@ # Release 0.15.0 ## Major features and improvements -* Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter notebook cells into Kedro nodes. +* Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter notebook cells into Kedro nodes. * Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config). * Added a new I/O module `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) @@ -11,18 +11,61 @@ * Add information on installed plugins to `kedro info` ## Breaking changes to the API +* Simplify the Kedro template in `run.py` with the introduction of `KedroContext` class. * Merged `FilepathVersionMixIn` and `S3VersionMixIn` under one abstract class `AbstractVersionedDataSet` which extends`AbstractDataSet`. #### Migration guide from Kedro 0.14.* to Kedro 0.15.0 +##### Migration for Kedro project template +This guide assumes that: + * The framework specific code has not been altered significantly + * Your project specific code is stored in the dedicated python package under `src/`. + +The breaking changes were introduced in the following project template files: +- `/.ipython/profile_default/startup/00-kedro-init.py` +- `/kedro_cli.py` +- `/src/tests/test_run.py` +- `/src//run.py` + +The easiest way to migrate your project from Kedro 0.14.* to Kedro 0.15.0 is to create a new project (by using `kedro new`) and move code and files bit by bit as suggested in the detailed guide below: + +1. Create a new project with the same name by running `kedro new` + +2. Copy the following folders to the new project: + - `results/` + - `references/` + - `notebooks/` + - `logs/` + - `data/` + - `conf/` + +3. If you customised your `src//run.py`, make sure you apply the same customisations to `src//run.py` + - If you customised `get_config()`, you can override `_create_config()` method in `ProjectContext` derived class + - If you customised `create_catalog()`, you can override `_create_catalog()` method in `ProjectContext` derived class + - If you customised `run()`, you can override `run()` method in `ProjectContext` derived class + - If you customised default `env`, you can override it in `ProjectContext` derived class or pass it at construction. By default, `env` is `local`. + - If you customised default `root_conf`, you can override `CONF_ROOT` attribute in `ProjectContext` derived class. By default, `KedroContext` base class has `CONF_ROOT` attribute set to `conf`. + +4. The following syntax changes are introduced in ipython or Jupyter notebook/labs: + - `proj_dir` -> `context.project_path` + - `proj_name` -> `context.project_name` + - `conf` -> `context.config_loader`. + - `io` -> `context.catalog` (e.g., `io.load()` -> `context.catalog.load()`) + +5. If you customised your `kedro_cli.py`, you need to apply the same customisations to your `kedro_cli.py` in the new project. + +##### Migration for versioning custom dataset classes + If you defined any custom dataset classes which support versioning in your project, you need to apply the following changes: 1. Make sure your dataset inherits from `AbstractVersionedDataSet` only. -2. Call `super().__init__()` with the appropriate arguments in the dataset's `__init__`. If storing on local filesystem, providing the filepath and the version is enough. Otherwise, you should also pass in an `exists_function` and a `glob_function` that emulate `exists` and `glob` in a different filesystem (see `CSVS3DataSet` as an example). +2. Call `super().__init__()` with the appropriate arguments in the dataset's `__init__`. If storing on local filesystem, providing the filepath and the version is enough. Otherwise, you should also pass in an `exists_function` and a `glob_function` that emulate `exists` and `glob` in a different filesystem (see `CSVS3DataSet` as an example). 3. Remove setting of the `_filepath` and `_version` attributes in the dataset's `__init__`, as this is taken care of in the base abstract class. 4. Any calls to `_get_load_path` and `_get_save_path` methods should take no arguments. 5. Ensure you convert the output of `_get_load_path` and `_get_save_path` appropriately, as these now return [`PurePath`s](https://docs.python.org/3/library/pathlib.html#pure-paths) instead of strings. 6. Make sure `_check_paths_consistency` is called with [`PurePath`s](https://docs.python.org/3/library/pathlib.html#pure-paths) as input arguments, instead of strings. +These steps should have brought your project to Kedro 0.15.0. There might be some more minor tweaks needed as every project is unique, but now you have a pretty solid base to work with. If you run into any problems, please consult the [Kedro documentation](https://kedro.readthedocs.io). + ## Thanks for supporting contributions [Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman), [Mayur Chougule](https://github.com/mmchougule) diff --git a/docs/source/02_getting_started/04_hello_world.md b/docs/source/02_getting_started/04_hello_world.md index 5df4bfe02a..24c2ddf4f3 100644 --- a/docs/source/02_getting_started/04_hello_world.md +++ b/docs/source/02_getting_started/04_hello_world.md @@ -63,7 +63,7 @@ A `kedro` project consists of the following main components: +--------------+----------------------------------------------------------------------+ | Component | Description | +==============+======================================================================+ -| Data Catalog | A collection of datasets that can be used to form the data pipeline. | +| Data Catalog | A collection of datasets that can be used to form the data pipeline. | | | Each dataset provides :code:`load` and :code:`save` capabilities for | | | a specific data type, e.g. :code:`CSVS3DataSet` loads and saves data | | | to a csv file in S3. | @@ -139,7 +139,7 @@ kedro run This command calls the `main()` function from `src/getting_started/run.py`, which in turn does the following: -1. Initiates the context: +1. Instantiates `ProjectContext` class defined in `src/getting_started/run.py`: * Reads relevant configuration * Configures Python `logging` * Instantiates the `DataCatalog` and feeds a dictionary containing `parameters` config diff --git a/docs/source/03_tutorial/01_workflow.md b/docs/source/03_tutorial/01_workflow.md index 90abd53ae0..cf711da23b 100644 --- a/docs/source/03_tutorial/01_workflow.md +++ b/docs/source/03_tutorial/01_workflow.md @@ -24,7 +24,7 @@ When building a Kedro project, you will typically follow a standard development * Create the data transformation steps as [pure](https://en.wikipedia.org/wiki/Pure_function) Python functions * Construct the pipeline by adding your functions as nodes - Specify inputs and outputs for each node -* Choose how to run the pipeline: sequentially or in parallel +* Choose how to run the pipeline: sequentially or in parallel ### 4. Package the project @@ -54,7 +54,7 @@ As you work on a project, you will periodically want to save your changes. If yo # create a new feature branch called 'feature-project-template' git checkout -b feature/project-template # stage all the files you have changed -git add . +git add . # commit changes to git with an instructive message git commit -m 'Create project template' # push changes to remote branch @@ -65,9 +65,9 @@ It isn't necessary to branch, but if everyone in a team works on the same branch ```bash # stage all files -git add . +git add . # commit changes to git with an instructive message git commit -m 'Create project template' # push changes to remote master -git push origin master +git push origin master ``` diff --git a/docs/source/03_tutorial/04_create_pipelines.md b/docs/source/03_tutorial/04_create_pipelines.md index 18c3988651..e1e8a076a8 100644 --- a/docs/source/03_tutorial/04_create_pipelines.md +++ b/docs/source/03_tutorial/04_create_pipelines.md @@ -2,9 +2,8 @@ This section covers how to create a pipeline from a set of `node`s, which are Python functions, as described in more detail in the [nodes and pipelines user guide](../04_user_guide/05_nodes_and_pipelines.md) documentation. -1. As you draft experimental code, you can use a [Jupyter Notebook](./04_create_pipelines.md#working-with-kedro-projects-from-jupyter) or [IPython session](../06_resources/03_ipython.md#working-with-kedro-and-ipython). If you include [`docstrings`](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) to explain what your functions do, you can take advantage of [auto-generated Sphinx documentation](http://www.sphinx-doc.org/en/master/) later on. Once you are happy with how you have written your `node` functions, you will copy & paste the code into the `src/kedro_tutorial/nodes/` folder as a `.py` file. +1. As you draft experimental code, you can use a [Jupyter Notebook](../04_user_guide/10_ipython.md#working-with-kedro-projects-from-jupyter) or [IPython session](../04_user_guide/10_ipython.md). If you include [`docstrings`](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) to explain what your functions do, you can take advantage of [auto-generated Sphinx documentation](http://www.sphinx-doc.org/en/master/) later on. Once you are happy with how you have written your `node` functions, you will copy & paste the code into the `src/kedro_tutorial/nodes/` folder as a `.py` file. 2. When you are ready with a node you should add it to the pipeline in `src/kedro_tutorial/pipeline.py`, specifying its inputs and outputs. -3. Finally, you will choose how you would like to run your pipeline: sequentially or in parallel, by specifying your preference in `src/kedro_tutorial/run.py`. ## Node basics @@ -154,34 +153,6 @@ kedro run `CSVLocalDataSet` is chosen for its simplicity, but you can choose any other available dataset implementation class to save the data, for example, to a database table, cloud storage (like [AWS S3](https://aws.amazon.com/s3/), [Azure Blob Storage](https://azure.microsoft.com/en-gb/services/storage/blobs/), etc.) and others. If you cannot find the dataset implementation you need, you can easily implement your own as [you already did earlier](./03_set_up_data.md#creating-custom-datasets) and share it with the world by contributing back to Kedro! - -## Working with Kedro projects from Jupyter - -Currently, the pipeline consists of just two nodes and performs just some data pre-processing. Let's expand it by adding more nodes. - -When you are developing new nodes for your pipeline, you can write them as regular Python functions, but you may want to use Jupyter Notebooks for experimenting with your code before committing to a specific implementation. To take advantage of Kedro's Jupyter session, you can run this in your terminal: - -```bash -kedro jupyter notebook -``` - -This will open a Jupyter Notebook in your browser. Navigate to `notebooks` folder and create a notebook there with a Kedro kernel. After opening the newly created notebook you can check what the data looks like by pasting this into the first cell of the notebook and selecting **Run**: - -```python -df = io.load('preprocessed_shuttles') -df.head() -``` - -You should be able to see the first 5 rows of the loaded dataset as follows: - -![](img/jupyter_notebook_ch3.png) - -> *Note:* -
    If you see an error message stating that `io` is undefined, you can see what went wrong by using `print(startup_error)`, where `startup_error` is available as a variable in Python. -
    If you cannot access `startup_error` please make sure you have run **`kedro`**`jupyter notebook` from the project's root directory. Running without the `kedro` command (that is, just running a `jupyter notebook`) will not load the Kedro session for you. -
    When you add new datasets to your `catalog.yml` file you need to reload Kedro's session by running `%reload_kedro` in your cell. - - ## Creating a master table We need to add a function to join together the three dataframes into a single master table in a cell in the notebook as follows: @@ -292,7 +263,7 @@ You can start by updating the dependencies in `src/requirements.txt` with the fo scikit-learn==0.20.2 ``` -You can find out more about requirements files [here](https://pip.pypa.io/en/stable/user_guide/#requirements-files). +You can find out more about requirements files [here](https://pip.pypa.io/en/stable/user_guide/#requirements-files). Then, from within the project directory, run: @@ -319,7 +290,7 @@ def split_data(data: pd.DataFrame, parameters: Dict) -> List: Args: data: Source data. parameters: Parameters defined in parameters.yml. - + Returns: A list containing split data. @@ -347,7 +318,7 @@ def train_model(X_train: np.ndarray, y_train: np.ndarray) -> LinearRegression: Args: X_train: Training data of independent features. y_train: Training data for price. - + Returns: Trained model. @@ -378,7 +349,7 @@ test_size: 0.2 random_state: 3 ``` -These are the parameters fed into the `DataCatalog` when the pipeline is executed (see the details in `create_catalog()` and `main()` in `src/kedro_tutorial/run.py`). +These are the parameters fed into the `DataCatalog` when the pipeline is executed. Next, register the dataset, which will save the trained model, by adding the following definition to `conf/base/catalog.yml`: @@ -555,9 +526,9 @@ kedro run --tag=ds --tag=de ```python node( - train_model, - ["X_train", "y_train"], - "regressor", + train_model, + ["X_train", "y_train"], + "regressor", tags=["my-regressor-node"], ) ``` @@ -586,7 +557,7 @@ def log_running_time(func: Callable) -> Callable: Args: func: Function to be executed. - + Returns: Decorator for logging the running time. @@ -688,17 +659,17 @@ Another built-in decorator is `kedro.pipeline.decorators.mem_profile`, which wil ## Kedro runners -Having specified the data catalog and the pipeline, you are now ready to run the pipeline. There are two different runners you can specify: +Having specified the data catalog and the pipeline, you are now ready to run the pipeline. There are two different runners you can specify: * `SequentialRunner` - runs your nodes sequentially; once a node has completed its task then the next one starts. * `ParallelRunner` - runs your nodes in parallel; independent nodes are able to run at the same time, allowing you to take advantage of multiple CPU cores. -By default, `src/kedro_tutorial/run.py` uses a `SequentialRunner`, which is instantiated when you execute `kedro run` from the command line. Switching to use `ParallelRunner` is as simple as providing an additional flag when running the pipeline from the command line as follows: +By default, Kedro uses a `SequentialRunner`, which is instantiated when you execute `kedro run` from the command line. 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zi74KP2b^DGlqrg*xpbkXDQztY2RA1k>RT|W-0SV-C(@M=(b0o z-Js^3O&>?G^#kNzhB|DELJZi3l+Miv5!faAmf?W@D42E>Pv(q61HAOdqa|6*X09T29;Lq`aTh+X1>mEJK;UU#{Bk4S|vAvkscUbptNo`yj5rJ%F{% zd&oK+x}9NK^lnK;0Zj{NTX7zH6{W1E?R+$p6kY#w?0m*-bZ@F#JGTnz5GH}TRc0q6 zr!f1jYTY4LW@piQ)s~m?3R220l$WO^0_d_XSviHp|6D5QEZ(TvVkxJrWaZa4YMC*- zAod?`ms_<;Zgr0sfAX#+F-bK(Yb!!(!V=Bf_gytwxG2u0)k+WVw_6u *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. Start by opening a new project directory in VS Code and installing the Python plugin under **Tools and languages**: ![](images/vscode_startup.png) -Python is an interpreted language; to run Python code you must tell VS Code which interpreter to use. From within VS Code, select a Python 3 interpreter by opening the **Command Palette** (`Cmd + Shift + P` for macOS), start typing the **Python: Select Interpreter** command to search, then select the command. +Python is an interpreted language; to run Python code you must tell VS Code which interpreter to use. From within VS Code, select a Python 3 interpreter by opening the **Command Palette** (`Cmd + Shift + P` for macOS), start typing the **Python: Select Interpreter** command to search, then select the command. At this stage, you should be able to see the `conda` environment that you have created. Select the environment: @@ -111,9 +111,9 @@ set PYTHONPATH=C:/path/to/project/src;%PYTHONPATH% You can find more information about setting up environmental variables [here](https://code.visualstudio.com/docs/python/environments#_environment-variable-definitions-file). -Go to **Debug > Add Configurations**. +Go to **Debug > Add Configurations**. -> *Note:* If you encounter the following error: `Cannot read property 'openConfigFile' of undefined`, you can manually create `launch.json` file in your project root folder and paste the configuration from below. +> *Note:* If you encounter the following error: `Cannot read property 'openConfigFile' of undefined`, you can manually create `launch.json` file in `.vscode` directory and paste the configuration from below. Edit the `launch.json` that opens in the editor with: @@ -135,7 +135,7 @@ Edit the `launch.json` that opens in the editor with: } ``` -To add a breakpoint in your `run.py` script, for example, click on the left hand side of the line of code: +To add a breakpoint in your `pipeline.py` script, for example, click on the left hand side of the line of code: ![](images/vscode_set_breakpoint.png) @@ -153,7 +153,7 @@ Execution should stop at the breakpoint: ### Advanced: Remote Interpreter / Debugging -It is possible to debug remotely using VS Code. The following example assumes SSH access is available on the remote computer (running a Unix-like OS) running the code that will be debugged. +It is possible to debug remotely using VS Code. The following example assumes SSH access is available on the remote computer (running a Unix-like OS) running the code that will be debugged. First install the `ptvsd` Python library on both the local and remote computer using the following command (execute it on both computers in the appropriate `conda` environment): diff --git a/docs/source/04_user_guide/02_setting_up_pycharm.md b/docs/source/04_user_guide/02_setting_up_pycharm.md index 845df7865c..0e5779910e 100644 --- a/docs/source/04_user_guide/02_setting_up_pycharm.md +++ b/docs/source/04_user_guide/02_setting_up_pycharm.md @@ -1,6 +1,6 @@ # Setting up PyCharm -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. This section will present a quick guide on how to configure [PyCharm](https://www.jetbrains.com/pycharm/) as a development environment for working on Kedro projects. @@ -66,7 +66,7 @@ Edit the new Run configuration as follows: ![](images/pycharm_edit_py_run_config.png) -Replace **Script path** with path obtained above and **Working directory** with the path of your project directory and then click **OK**. +Replace **Script path** with path obtained above and **Working directory** with the path of your project directory and then click **OK**. To execute the Run configuration, select it from the **Run / Debug Configurations** dropdown in the toolbar (if that toolbar is not visible, you can enable it by going to **View > Toolbar**). Click the green triangle: @@ -94,7 +94,7 @@ Then click the bug button in the toolbar (![](images/pycharm_debugger_button.png ## Advanced: Remote SSH interpreter -> *Note:* This section uses the features supported in PyCharm Professional Edition only. +> *Note:* This section uses the features supported in PyCharm Professional Edition only. Firstly, add an SSH interpreter. Go to **Preferences | Project Interpreter** as above and proceed to add a new interpreter. Select **SSH Interpreter** and fill in details of the remote computer: diff --git a/docs/source/04_user_guide/03_configuration.md b/docs/source/04_user_guide/03_configuration.md index e370a83915..e847c8b087 100644 --- a/docs/source/04_user_guide/03_configuration.md +++ b/docs/source/04_user_guide/03_configuration.md @@ -1,6 +1,6 @@ # Configuration -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. This section contains detailed information about configuration. You may also want to consult the relevant API documentation on [kedro.config](/kedro.config.rst). @@ -44,10 +44,10 @@ In addition to the 2 built-in configuration environments, it is possible to crea kedro run --env=test ``` -If no `env` option is specified, this will default to using `local` environment to overwrite `conf/base`. +If no `env` option is specified, this will default to using `local` environment to overwrite `conf/base`. -You can alternatively change the default environment by modifying the `DEFAULT_RUN_ENV` variable in `src/run.py`. +You can alternatively change the default environment by modifying the `env` variable in `__kedro_context__` in `src/run.py`. ```python -DEFAULT_RUN_ENV = "test" +env = "test" ``` diff --git a/docs/source/04_user_guide/04_data_catalog.md b/docs/source/04_user_guide/04_data_catalog.md index 81fbd27350..4dd641e4d1 100644 --- a/docs/source/04_user_guide/04_data_catalog.md +++ b/docs/source/04_user_guide/04_data_catalog.md @@ -1,8 +1,8 @@ # The Data Catalog -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. -This section introduces `catalog.yml`, the project-shareable Data Catalog. The file is located in `conf/base` and is a registry of all data sources available for use by a project; it manages loading and saving of data. +This section introduces `catalog.yml`, the project-shareable Data Catalog. The file is located in `conf/base` and is a registry of all data sources available for use by a project; it manages loading and saving of data. ## Using the Data Catalog within Kedro configuration @@ -97,15 +97,15 @@ scooters: load_args: index_col: ['name'] columns: ['name', 'gear'] - save_args: + save_args: if_exists: 'replace' # Example 8: Load a SQL table with credentials and applies a SQL query to the table scooters_query: - type: SQLQueryDataSet + type: SQLQueryDataSet credentials: scooters_credentials sql: 'select * from cars where gear=4' - load_args: + load_args: index_col: ['name'] ``` @@ -114,7 +114,7 @@ The above `catalog.yml` gets `dev_s3` `scooters_credentials` from `conf/local/cr ```yaml dev_s3: aws_access_key_id: token - aws_secret_access_key: key + aws_secret_access_key: key scooters_credentials: con: sqlite:///kedro.db @@ -282,7 +282,7 @@ io.list() ## Saving data -Saving data can be completed with a similar API. +Saving data can be completed with a similar API. > *Note:* This use is not recommended unless you are prototyping in notebooks. diff --git a/docs/source/04_user_guide/05_nodes_and_pipelines.md b/docs/source/04_user_guide/05_nodes_and_pipelines.md index 5ba8dfa3fa..1a3322a623 100644 --- a/docs/source/04_user_guide/05_nodes_and_pipelines.md +++ b/docs/source/04_user_guide/05_nodes_and_pipelines.md @@ -1,6 +1,6 @@ # Nodes and pipelines -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. In this section we introduce pipelines and nodes. Relevant API documentation: @@ -426,6 +426,7 @@ kedro run `Output`: ```console + 2019-04-26 17:19:01,341 - root - INFO - ** Kedro project new-kedro-project 2019-04-26 17:19:01,360 - kedro.io.data_catalog - INFO - Loading data from `example_iris_data` (CSVLocalDataSet)... 2019-04-26 17:19:01,387 - kedro.io.data_catalog - INFO - Loading data from `parameters` (MemoryDataSet)... @@ -471,6 +472,7 @@ kedro run --runner=ParallelRunner `Output`: ```console + 2019-04-26 17:20:45,012 - root - INFO - ** Kedro project new-kedro-project 2019-04-26 17:20:45,081 - kedro.io.data_catalog - INFO - Loading data from `example_iris_data` (CSVLocalDataSet)... 2019-04-26 17:20:45,099 - kedro.io.data_catalog - INFO - Loading data from `parameters` (MemoryDataSet)... @@ -537,7 +539,7 @@ io = DataCatalog(dict( io.list() ``` -`Output`: +`Output`: ```console Out[10]: ['xs'] diff --git a/docs/source/04_user_guide/06_logging.md b/docs/source/04_user_guide/06_logging.md index 9479040222..5ca5a1d9a6 100644 --- a/docs/source/04_user_guide/06_logging.md +++ b/docs/source/04_user_guide/06_logging.md @@ -1,21 +1,22 @@ # Logging -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. Kedro uses, and facilitates the use of Python’s `logging` library, by providing a default logging configuration. This can be found in `conf/base/logging.yml` in every project generated using Kedro’s CLI `kedro new` command. ## Configure logging -You can configure the logging by simply adding the following lines at the entry point of your application (e.g., `src//run.py`): +You can configure the logging by simply instantiating `ProjectContext` class at the entry point of your application (e.g., `src//run.py`). Logging can be easily customised by overriding `_setup_logging()` in `ProjectContext` class as follow: ```python -from logging.config import dictConfig -from kedro.config import ConfigLoader +class ProjectContext(KedroContext): + + # ... + + def _setup_logging(self) -> None: + # Custom logging configuration here + pass -conf_paths = ['conf/base', 'conf/local'] -conf_loader = ConfigLoader(conf_paths) -conf_logging = conf_loader.get('logging*', 'logging*/**') -dictConfig(conf_logging) ``` The configuration should comply with the guidelines from the `logging` library. Find more about it [here](https://docs.python.org/3/library/logging.html). diff --git a/docs/source/04_user_guide/07_advanced_io.md b/docs/source/04_user_guide/07_advanced_io.md index a93b02fe57..831e100088 100644 --- a/docs/source/04_user_guide/07_advanced_io.md +++ b/docs/source/04_user_guide/07_advanced_io.md @@ -1,6 +1,6 @@ # Advanced IO -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. In this tutorial, you will learn about advanced uses of the [Kedro IO](/kedro.io.rst) module and understand the underlying implementation. @@ -105,22 +105,22 @@ data1 = pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) data2 = pd.DataFrame({"col1": [7], "col2": [8], "col3": [9]}) version = Version( load=None, # load the latest available version - save=None, # generate save version automatically on each save operation + save=None, # generate save version automatically on each save operation ) test_data_set = CSVLocalDataSet( - filepath="data/01_raw/test.csv", - save_args={"index": False}, + filepath="data/01_raw/test.csv", + save_args={"index": False}, version=version, ) io = DataCatalog({"test_data_set": test_data_set}) # save the dataset to data/01_raw/test.csv//test.csv -io.save("test_data_set", data1) +io.save("test_data_set", data1) # save the dataset into a new file data/01_raw/test.csv//test.csv -io.save("test_data_set", data2) +io.save("test_data_set", data2) # load the latest version from data/test.csv/*/test.csv -reloaded = io.load("test_data_set") +reloaded = io.load("test_data_set") assert data2.equals(reloaded) ``` @@ -129,11 +129,11 @@ assert data2.equals(reloaded) ```python version = Version( load="my_exact_version", # load exact version - save="my_exact_version", # save to exact version + save="my_exact_version", # save to exact version ) test_data_set = CSVLocalDataSet( - filepath="data/01_raw/test.csv", - save_args={"index": False}, + filepath="data/01_raw/test.csv", + save_args={"index": False}, version=version, ) io = DataCatalog({"test_data_set": test_data_set}) @@ -141,12 +141,12 @@ io = DataCatalog({"test_data_set": test_data_set}) # save the dataset to data/01_raw/test.csv/my_exact_version/test.csv io.save("test_data_set", data1) # load from data/01_raw/test.csv/my_exact_version/test.csv -reloaded = io.load("test_data_set") +reloaded = io.load("test_data_set") assert data1.equals(reloaded) # raises DataSetError since the path # data/01_raw/test.csv/my_exact_version/test.csv already exists -io.save("test_data_set", data2) +io.save("test_data_set", data2) ``` > **Important:** Passing exact load and/or save versions to the dataset instantiation is not recommended, since it may lead to inconsistencies between operations. For example, if versions for load and save operations do not match, save operation would result in a `UserWarning` indicating that save a load versions do not match. Load after save may also return an error if the corresponding load version is not found: @@ -154,18 +154,18 @@ io.save("test_data_set", data2) ```python version = Version( load="exact_load_version", # load exact version - save="exact_save_version" # save to exact version + save="exact_save_version" # save to exact version ) test_data_set = CSVLocalDataSet( - filepath="data/01_raw/test.csv", - save_args={"index": False}, + filepath="data/01_raw/test.csv", + save_args={"index": False}, version=version, ) io = DataCatalog({"test_data_set": test_data_set}) io.save("test_data_set", data1) # emits a UserWarning due to version inconsistency -# raises DataSetError since the data/01_raw/test.csv/exact_load_version/test.csv +# raises DataSetError since the data/01_raw/test.csv/exact_load_version/test.csv # file does not exist reloaded = io.load("test_data_set") ``` diff --git a/docs/source/04_user_guide/08_pyspark.md b/docs/source/04_user_guide/08_pyspark.md index 294bfb8de0..432d1ba4a0 100644 --- a/docs/source/04_user_guide/08_pyspark.md +++ b/docs/source/04_user_guide/08_pyspark.md @@ -1,6 +1,6 @@ # Working with PySpark -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. In this tutorial we explain how to work with `PySpark` in a Kedro pipeline. @@ -10,45 +10,32 @@ Relevant API documentation: [SparkDataSet](/kedro.contrib.io.pyspark.SparkDataSe Before any `PySpark` operations are performed, you should initialise your `SparkSession`, typically in your application's entry point before running the pipeline. -For example, if you are using Kedro's project template, then you could create a function `init_spark_session()` in `src//run.py` as follows: +For example, if you are using Kedro's project template, then you could add `init_spark_session()` method to the `ProjectContext` class in `src//run.py` as follows: ```python from pyspark.sql import SparkSession -from kedro.config import ConfigLoader -from kedro.runner import SequentialRunner # ... -def init_spark_session(aws_access_key, aws_secret_key): - # select only/add more config options as per your needs - return ( - SparkSession.builder.master("local[*]") - .appName("kedro") - .config("spark.driver.memory", "4g") - .config("spark.driver.maxResultSize", "3g") - .config("spark.hadoop.fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem") - .config("spark.sql.execution.arrow.enabled", "true") - .config("spark.jars.packages", "org.apache.hadoop:hadoop-aws:2.7.5") - .config("spark.jars.excludes", "joda-time:joda-time") - .config("fs.s3a.access.key", aws_access_key) - .config("fs.s3a.secret.key", aws_secret_key) - .getOrCreate() - ) - -def main(): - +class ProjectContext(KedroContext): # ... - config = ConfigLoader(["conf/base", "conf/local"]) - credentials = config.get("credentials*", "credentials*/**") - - # Initialise SparkSession - spark = init_spark_session(credentials["aws"]["access_key"], - credentials["aws"]["secret_key"]) - - # Run the pipeline - io.add_feed_dict({'parameters': parameters}, replace=True) - SequentialRunner().run(pipeline, io) + def init_spark_session(self, aws_access_key, aws_secret_key): + # select only/add more config options as per your needs + return ( + SparkSession.builder.master("local[*]") + .appName("kedro") + .config("spark.driver.memory", params["spark.driver.memory"]) + .config("spark.driver.maxResultSize", "3g") + .config("spark.hadoop.fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem") + .config("spark.sql.execution.arrow.enabled", "true") + .config("spark.jars.packages", "org.apache.hadoop:hadoop-aws:2.7.5") + .config("spark.jars.excludes", "joda-time:joda-time") + .config("fs.s3a.access.key", aws_access_key) + .config("fs.s3a.secret.key", aws_secret_key) + .getOrCreate() + ) +# ... ``` Since `SparkSession` is a [singleton](https://python-3-patterns-idioms-test.readthedocs.io/en/latest/Singleton.html), the next time you call `SparkSession.builder.getOrCreate()` you will be provided with the same `SparkSession` you initialised at your app's entry point. @@ -56,7 +43,7 @@ Since `SparkSession` is a [singleton](https://python-3-patterns-idioms-test.read ## Creating a `SparkDataSet` -Having created a `SparkSession`, you can load your data using `PySpark`'s [DataFrameReader](https://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.DataFrameReader). +Having created a `SparkSession`, you can load your data using `PySpark`'s [DataFrameReader](https://spark.apache.org/docs/latest/api/python/pyspark.sql.html#pyspark.sql.DataFrameReader). To do so, please use the provided [SparkDataSet](/kedro.contrib.io.pyspark.SparkDataSet): @@ -72,7 +59,7 @@ spark_ds = SparkDataSet( file_format="csv", load_args={"header": True, "inferSchema": True}, save_args={"sep": "|", "header": True}, - + ) catalog = DataCatalog({"weather": spark_ds}) @@ -117,21 +104,18 @@ assert isinstance(df, pyspark.sql.DataFrame) Continuing from the example of the previous section, since `catalog.load("weather")` returns a `pyspark.sql.DataFrame`, any Kedro pipeline nodes which have `weather` as an input will be provided with a `PySpark` dataframe: ```python -from kedro.io import DataCatalog from kedro.pipeline import Pipeline, node -from kedro.config import ConfigLoader -from kedro.runner import SequentialRunner - def my_node(weather): weather.show() # weather is a pyspark.sql.DataFrame -def main(): - config = ConfigLoader(["conf/base", "conf/local"]) - io = DataCatalog.from_config( - config.get("catalog*", "catalog*/**"), - config.get("credentials*", "credentials*/**"), - ) - pipeline = Pipeline([node(my_node, "weather", None)]) - SequentialRunner().run(pipeline, io) +class ProjectContext(KedroContext): + + # ... + + @property + def pipeline(self) -> Pipeline: # requires import from user code + return Pipeline([node(my_node, "weather", None)]) +# ... + ``` diff --git a/docs/source/04_user_guide/09_developing_plugins.md b/docs/source/04_user_guide/09_developing_plugins.md index b31bfb34da..e5b91829d9 100644 --- a/docs/source/04_user_guide/09_developing_plugins.md +++ b/docs/source/04_user_guide/09_developing_plugins.md @@ -1,6 +1,6 @@ # Developing Kedro plugins -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. The functionality of Kedro can be extended using its `plugin` framework, which is designed to reduce the complexity involved in creating new features for Kedro while allowing you to inject additional commands into the CLI. Plugins are developed as separate Python packages that exist outside of any Kedro project. @@ -8,17 +8,19 @@ The functionality of Kedro can be extended using its `plugin` framework, which i Kedro uses various entry points in the [`pkg_resources` entry_point system](https://setuptools.readthedocs.io/en/latest/setuptools.html#dynamic-discovery-of-services-and-plugins) to provide plugin functionality. -While running, plugins may request information about the current project by calling `kedro.cli.get_project_context(key, default=NO_DEFAULT)`. +While running, plugins may request information about the current project by calling `kedro.cli.get_project_context()`. -This function provides access to the verbose flag via the key `verbose` and to anything returned by the project's `__kedro_context__`. The returned context dictionary must contain at least the following keys and values: -* _template_version_: the version of Kedro the project was created with, or `None` if the project was not created with `kedro new`. -* _project_path_: the path to the directory where `kedro_cli.py` is located. -* _get_config_: a function that takes the `project_path` and returns a `kedro.config.ConfigLoader` instance. -* _create_catalog_: a function that takes the config returned by `get_config` and returns a kedro.io.DataCatalog instance. -* _create_pipeline_: a function that returns a kedro.pipeline.Pipeline instance. +This function provides access to the verbose flag via the key `verbose` and to anything returned by the project's `__kedro_context__`. The returned instance of `ProjectContext` class must contain at least the following properties and methods: +* `project_version`: the version of Kedro the project was created with, or `None` if the project was not created with `kedro new`. +* `project_path`: the path to the directory where `kedro_cli.py` is located. +* `config_loader`: an instance of `kedro.config.ConfigLoader`. +* `catalog`: an instance of `kedro.io.DataCatalog`. +* `pipeline`: an instance of `kedro.pipeline.Pipeline`. ->*Note*: Plugins may require additional keys be added to `__kedro_context__` in `run.py`. +>*Note*: Plugins may require additional keys be added to `ProjectContext` in `run.py`. + +>*Note*: `kedro.cli.get_project_context(key)`, where `key` is `get_config`, `create_catalog`, `create_pipeline`, `template_version`, `project_name` and `project_path`, is deprecated as of `Kedro 0.15.0`, and will be removed for future versions. ## Initialisation If the plugin needs to do initialisation prior to Kedro starting, it can declare the `entry_point` key `kedro.init`. This entry point must refer to a function that currently has no arguments, but for future proofing you should declare it with `**kwargs`. @@ -52,7 +54,7 @@ When you are ready to submit your code: - The `click` groups are declared through the [`pkg_resources` entry_point system](https://setuptools.readthedocs.io/en/latest/setuptools.html#dynamic-discovery-of-services-and-plugins) 3. Include a `README.md` describing your `plugin`'s functionality and all dependencies that should be included 4. Use GitHub tagging to tag your plugin as a `kedro-plugin` so that we can find it - + >*Note:* In future, we will feature a list of "Plugins by Contributors". Your plugin needs to have an [Apache 2.0 compatible license](https://www.apache.org/legal/resolved.html#category-a) to be considered for this list. ## Example of a simple plugin @@ -75,8 +77,8 @@ def commands(): @commands.command() def to_json(): """ Display the pipeline in JSON format """ - pipeline = get_project_context('create_pipeline')() - print(pipeline.to_json()) + context = get_project_context() + print(context.pipeline.to_json()) ``` And have the following entry_points config in `setup.py`: diff --git a/docs/source/04_user_guide/10_ipython.md b/docs/source/04_user_guide/10_ipython.md new file mode 100644 index 0000000000..9eeb780ae9 --- /dev/null +++ b/docs/source/04_user_guide/10_ipython.md @@ -0,0 +1,156 @@ +# Working with IPython and Jupyter Notebooks / Lab + +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +In order to experiment with the code interactively, you may want to use a Python kernel inside a Jupyter notebook (formerly known as IPython). + +To start a standalone IPython session, run the following command in the root directory of the project: + +```bash +kedro ipython +``` + +Every time you start/restart an IPython session, a startup script (`/.ipython/profile_default/startup/00-kedro-init.py`) will add the following variables in scope: + +- `context` (`KedroContext`) - Kedro project context which holds the configuration +- `startup_error` (`Exception`) - An error that was raised during the execution of the startup script or `None` if no errors occurred + +To reload these at any point (e.g., if you updated `catalog.yml`) use the [line magic](https://ipython.readthedocs.io/en/stable/interactive/magics.html) `%reload_kedro`. This magic can also be used to see the error message if any of the variables above are undefined. + +With `context`, you can access the following variables and methods +- `context.project_path` (`str`) - Root directory of the project +- `context.project_name` (`str`) - Project folder name +- `context.io` or `context.catalog` (`DataCatalog`) - Data catalog +- `context.config_loader` - An instance of `ConfigLoader` +- `context.pipeline` (`Pipeline`) - Defined pipeline +- `context.run` (`None`) - Method to run the pipeline with following arguments: + - `tags`: An optional list of node tags which should be used to + filter the nodes of the ``Pipeline``. If specified, only the nodes + containing *any* of these tags will be added to the ``Pipeline`` + - `runner`: An optional parameter specifying the runner _instance_ that you want to run + the pipeline with + +## Loading `DataCatalog` in IPython + +You can load a dataset of [Iris Test example](https://archive.ics.uci.edu/ml/datasets/iris) inside the IPython console, by simply executing the following: + +```python +context.io.load("example_iris_data").head() +``` + +```bash +kedro.io.data_catalog - INFO - Loading data from `example_iris_data` (CSVLocalDataSet)... + + sepal_length sepal_width petal_length petal_width species +0 5.1 3.5 1.4 0.2 setosa +1 4.9 3.0 1.4 0.2 setosa +2 4.7 3.2 1.3 0.2 setosa +3 4.6 3.1 1.5 0.2 setosa +4 5.0 3.6 1.4 0.2 setosa +``` + +When you have finished, you can exit IPython by typing: + +```python +exit() +``` + +## Working with Kedro Projects from Jupyter + +>*Note:* Similar to IPython, you can use the above functionality in Jupyter Notebook / Lab. There are two ways to access the `context` object. + +When you are developing new nodes for your pipeline, you can write them as regular Python functions, but you may want to use Jupyter Notebooks for experimenting with your code before committing to a specific implementation. To take advantage of Kedro's Jupyter session, you can run this in your terminal: + +```bash +kedro jupyter notebook +``` + +This will open a Jupyter Notebook in your browser. Navigate to `notebooks` folder and create a notebook there with a **Kedro** kernel. After opening the newly created notebook you can check what the data looks like by pasting this into the first cell of the notebook and selecting **Run**: + +```python +df = context.io.load("example_iris_data") +df.head() +``` + +You should be able to see the first 5 rows of the loaded dataset as follows: + +![](images/jupyter_notebook_ch10-1.png) + +Above functionality can also be achieved without running Kedro's Jupyter session. You can instead create a `context` object +by calling `load_context()`. + +This method is used to express opening up Jupyter Notebook through the Anaconda interface or through your terminal and not by using `kedro jupyter notebook` within a Kedro project. If done through your terminal, then you can run: +```bash +jupyter notebook +``` + +And then add the following code in a notebook cell: + +```python +from kedro.context import load_context +import os + +proj_path = os.getcwd() +context_class = load_context(proj_path) +context = context_class(proj_path) +df = context.io.load("example_iris_data") +df.head() +``` + +You should be able to see the first 5 rows of the loaded dataset as follows: + +![](images/jupyter_notebook_ch10-2.png) + +> *Note:* +If you see an error message in a notebook cell, you can see what went wrong by using `print(startup_error)`, where `startup_error` is available as a variable in Python. +
    When you add new datasets to your `catalog.yml` file you need to reload Kedro's session by running `%reload_kedro` in your cell. + +## Extras + +There are optional extra scripts that can help improve your Kedro experience for certain use cases. Those are not essential for using Kedro CLI or library components. + +### Kedro project loader + +The script `extras/kedro_project_loader.py` helps to locate Kedro project and run IPython startup scripts in it when working with Jupyter Notebooks and IPython sessions. +This script will automatically identify your Kedro project root directory and execute all Python scripts from `/.ipython/profile_default/startup` directory. + +#### Installation + +To install this script simply download it into your default IPython config directory: + +```bash +mkdir -p ~/.ipython/profile_default/startup +wget https://raw.githubusercontent.com/quantumblacklabs/kedro/master/extras/kedro_project_loader.py -O ~/.ipython/profile_default/startup/kedro_project_loader.py +``` + +#### Prerequisites + +In order for this script to work, the following conditions must be met: + +1. You Kedro project must contain `kedro_cli.py` file in its root directory. +2. Jupyter Notebook should be saved inside Kedro project root directory or any nested subdirectory. +3. IPython interactive session should be started with the working directory inside Kedro project root directory or any nested subdirectory. + +For example, given the following Kedro project structure: +```console +new-kedro-project/ +├── conf/ +├── data/ +├── docs/ +├── kedro_cli.py +├── logs/ +├── notebooks +│   └── subdir1 +│   └── subdir2 +├── setup.cfg +└── src/ +``` + +Placing your `Notebook.ipynb` file anywhere in `new-kedro-project/notebooks/`, `new-kedro-project/notebooks/subdir1/`, `new-kedro-project/notebooks/subdir1/subdir2/` or even `new-kedro-project/` (although strongly discouraged) will work. + +> *Note:* Given the example structure above, this script *will not* load your Kedro project context if the notebook is saved anywhere *outside* `new-kedro-project` directory. + +#### Error handling + +In case this script fails to execute any of your Kedro project startup scripts, global variable `load_kedro_errors` will contain a dictionary with the key pointing to the failed script 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04_user_guide/08_pyspark 04_user_guide/09_developing_plugins - + 04_user_guide/10_ipython .. toctree:: :maxdepth: 2 @@ -92,8 +92,7 @@ Welcome to Kedro's API docs and tutorials! 06_resources/01_faq 06_resources/02_commands_reference - 06_resources/03_ipython - 06_resources/04_lint + 06_resources/03_lint API Docs diff --git a/docs/source/06_resources/01_faq.md b/docs/source/06_resources/01_faq.md index 1fb51a5f78..dd9b0e733b 100644 --- a/docs/source/06_resources/01_faq.md +++ b/docs/source/06_resources/01_faq.md @@ -1,6 +1,6 @@ # Frequently asked questions -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. ## What is Kedro? @@ -8,16 +8,16 @@ ## What are the primary advantages of Kedro? -It is important to consider the primary advantages of Kedro over existing tools. +It is important to consider the primary advantages of Kedro over existing tools. As we see it, Kedro emphasises a seamless transition from development to production without slowing the pace of the experimentation stage, because it: -- **Simplifies data access,** using YAML configuration to define a single-source of truth for all data sources that your workflow requires +- **Simplifies data access,** using YAML configuration to define a single-source of truth for all data sources that your workflow requires - **Uses a familiar data interface,** by borrowing arguments from Pandas and Spark APIs meaning you do not have to learn a new API -- **Has a minimal pipeline syntax,** that uses Python functions +- **Has a minimal pipeline syntax,** that uses Python functions - **Makes datasets 1st-level citizens,** resolving task running order according to what each task produces and consumes, meaning you do not need to explicitly define dependencies between tasks - **Has built-in runner selection,** choosing sequential or parallel runner functionality is a `kedro run` argument -- **Has a low-effort setup,** that does not need a scheduler or database +- **Has a low-effort setup,** that does not need a scheduler or database - **Starts with a project template,** which has built-in conventions and best practices from 50+ analytics engagements - **Is flexible,** simplifying your extension or replacement of core functionality e.g. the whole Data Catalog could be replaced with another mechanism for data access like [`Haxl`](https://github.com/facebook/Haxl) @@ -33,7 +33,7 @@ We see Airflow and Luigi as complementary frameworks: Airflow and Luigi are tool The primary differences to Bonobo ETL and Bubbles are related to the following features of Kedro: - - **Ability to support big data operations**. Kedro supports big data operations by allowing you to use PySpark on your projects. We also look at processing dataframes differently to both tools as we consider entire dataframes and do not make use of the slower line-by-line data stream processing. + - **Ability to support big data operations**. Kedro supports big data operations by allowing you to use PySpark on your projects. We also look at processing dataframes differently to both tools as we consider entire dataframes and do not make use of the slower line-by-line data stream processing. - **Project structure**. Kedro provides a built-in project structure from the beginning of your project configured for best-practice project management. - **Automatic dependency resolution for pipelines**. The `Pipeline` module also maps out dependencies between nodes and displays the results of this in a sophisticated but easy to understand directed acyclic graph. @@ -123,7 +123,7 @@ HTML files for the project documentation will be built to `docs/build/html`. ## How do I build documentation about Kedro? -A local copy of documentation about Kedro can be generated by running `kedro docs` from the command line. The documentation is also available [online](https://kedro.readthedocs.io). +A local copy of documentation about Kedro can be generated by running `kedro docs` from the command line. The documentation is also available [online](https://kedro.readthedocs.io). ## How can I find out more about Kedro? diff --git a/docs/source/06_resources/02_commands_reference.md b/docs/source/06_resources/02_commands_reference.md index a957378828..f217b79475 100644 --- a/docs/source/06_resources/02_commands_reference.md +++ b/docs/source/06_resources/02_commands_reference.md @@ -1,6 +1,6 @@ # Guide to CLI commands -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. The `kedro` command line interface (CLI) helps with reproducibility in projects by allowing you to associate a set of commands and dependencies with a target and then execute them from the command line when inside a Kedro project directory. All project related CLI commands should be run from the project’s root directory. @@ -8,7 +8,7 @@ The supported commands are specified in the `kedro_cli.py` file. It is easy to e ### Autocomplete -To allow your shell to autocomplete `kedro` commands, you can add the following to your `.bashrc` (or just run it on the command line) +To allow your shell to autocomplete `kedro` commands, you can add the following to your `.bashrc` (or just run it on the command line) ``` eval "$(_KEDRO_COMPLETE=source kedro)" @@ -72,11 +72,7 @@ Build the project documentation using the [Sphinx](https://www.sphinx-doc.org) f Start a Jupyter Notebook, Lab or REPL session respectively. Every time you start or restart a notebook kernel, a startup script (`/.ipython/profile_default/startup/00-kedro-init.py`) will add the following variables in scope: -- `proj_dir` (`str`) -- `proj_name` (`str`) -- `conf` (`ConfigLoader`) -- `io` (`DataCatalog`) -- `parameters` (`dict`) +- `context` (Instance of `ProjectContext` class defined in `src/project-name/run.py`) (The details of how to use `context` can be found [here](../04_user_guide/10_ipython.md)) - `startup_error` (`Exception`) To reload these at any point in your notebook (e.g. if you updated `catalog.yml`) use the line magic `%reload_kedro`. diff --git a/docs/source/06_resources/03_ipython.md b/docs/source/06_resources/03_ipython.md deleted file mode 100644 index fe28bd2de9..0000000000 --- a/docs/source/06_resources/03_ipython.md +++ /dev/null @@ -1,49 +0,0 @@ -# Working with Kedro and IPython - -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. - -In order to experiment with the code interactively, you may want to use a Python kernel inside a Jupyter notebook (formerly known as IPython). - -To start a standalone IPython session, run the following command in the root directory of the project: - -```bash -kedro ipython -``` - -Every time you start/restart an IPython session, a startup script (`/.ipython/profile_default/startup/00-kedro-init.py`) will add the following variables in scope: - -- `proj_dir` (`str`) - Root directory of the project -- `proj_name` (`str`) - Project folder name -- `conf` (`ConfigLoader`) - Configuration loader object -- `io` (`DataCatalog`) - Data catalog -- `parameters` (`dict`) - Parameters from the project configuration -- `startup_error` (`Exception`) - An error that was raised during the execution of the startup script or `None` if no errors occurred. - -To reload these at any point (e.g., if you updated `catalog.yml`) use the [line magic](https://ipython.readthedocs.io/en/stable/interactive/magics.html) `%reload_kedro`. This magic can also be used to see the error message if any of the variables above are undefined. - -## Loading `DataCatalog` in IPython - -You can load a dataset of [Iris Test example](https://archive.ics.uci.edu/ml/datasets/iris) inside the IPython console, by simply executing the following: - -```python -io.load("example_iris_data").head() -``` - -> Since the `io` is already defined during IPython session startup, we don't have to recreate it. - -```bash -kedro.io.data_catalog - INFO - Loading data from `example_iris_data` (CSVLocalDataSet)... - - sepal_length sepal_width petal_length petal_width species -0 5.1 3.5 1.4 0.2 setosa -1 4.9 3.0 1.4 0.2 setosa -2 4.7 3.2 1.3 0.2 setosa -3 4.6 3.1 1.5 0.2 setosa -4 5.0 3.6 1.4 0.2 setosa -``` - -When you have finished, you can exit IPython by typing: - -```python -exit() -``` diff --git a/docs/source/06_resources/04_lint.md b/docs/source/06_resources/03_lint.md similarity index 95% rename from docs/source/06_resources/04_lint.md rename to docs/source/06_resources/03_lint.md index 45bcd0a52a..90ee679d5f 100644 --- a/docs/source/06_resources/04_lint.md +++ b/docs/source/06_resources/03_lint.md @@ -1,6 +1,6 @@ # Linting your Kedro project -> *Note:* This documentation is based on `Kedro 0.14.3`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. > *Note:* The following suggestions would require installing the `pylint` package, subject to GPL licence. diff --git a/extras/README.md b/extras/README.md index 85b51d3c75..41bf2c1ebd 100644 --- a/extras/README.md +++ b/extras/README.md @@ -1,46 +1,9 @@ > This directory contains extra scripts that can help improve your Kedro experience for certain use cases. Those are not essential for using Kedro CLI or library components. + ## `kedro_project_loader.py` This script helps to locate Kedro project and run IPython startup scripts in -it when working with Jupyter Notebooks and IPython sessions. This script will automatically identify your Kedro project root directory and execute all Python scripts from `/.ipython/profile_default/startup` directory. - -### Installation - -To install this script simply download it into your default IPython config directory: - -```bash -mkdir -p ~/.ipython/profile_default/startup -wget https://raw.githubusercontent.com/quantumblacklabs/kedro/master/extras/kedro_project_loader.py -O ~/.ipython/profile_default/startup/kedro_project_loader.py -``` - -### Prerequisites - -In order for this script to work, the following conditions must be met: - -1. You Kedro project must contain `kedro_cli.py` file in its root directory. -2. Jupyter notebook should be saved inside Kedro project root directory or any nested subdirectory. -3. IPython interactive session should be started with the working directory inside Kedro project root directory or any nested subdirectory. - -For example, given the following Kedro project structure: -```console -new-kedro-project/ -├── conf/ -├── data/ -├── docs/ -├── kedro_cli.py -├── logs/ -├── notebooks -│   └── subdir1 -│   └── subdir2 -├── setup.cfg -└── src/ -``` - -Placing your `Notebook.ipynb` file anywhere in `new-kedro-project/notebooks/`, `new-kedro-project/notebooks/subdir1/`, `new-kedro-project/notebooks/subdir1/subdir2/` or even `new-kedro-project/` (although strongly discouraged) will work. - -> *Note:* Given the example structure above, this script *will not* load your Kedro project context if the notebook is saved anywhere *outside* `new-kedro-project` directory. - -### Error handling - -In case this script fails to execute any of your Kedro project startup scripts, global variable `load_kedro_errors` will contain a dictionary with the key pointing to the failed script path and the value containing exception object. +it when working with Jupyter Notebooks and IPython sessions. +This script will automatically identify your Kedro project root directory and execute all Python scripts from `/.ipython/profile_default/startup` directory. +The details can be found in [the user guide](](https://kedro.readthedocs.io/en/latest/04_user_guide/10_ipython.html)). \ No newline at end of file diff --git a/features/ipython.feature b/features/ipython.feature index 062e07917a..4c4f3b6d0a 100644 --- a/features/ipython.feature +++ b/features/ipython.feature @@ -37,4 +37,4 @@ Feature: IPython target in new project When I execute the kedro command "ipython" Then I should get a message including "An enhanced Interactive Python" And I should get a message including "INFO - ** Kedro project project-dummy" - And I should get a message including "INFO - Defined global variables proj_dir, proj_name, conf and io" + And I should get a message including "INFO - Defined global variable context" diff --git a/features/steps/cli_steps.py b/features/steps/cli_steps.py index e93dd797fd..6a4b302866 100644 --- a/features/steps/cli_steps.py +++ b/features/steps/cli_steps.py @@ -243,7 +243,8 @@ def modify_example_test_to_fail(context): path_to_example_test = context.root_project_dir / "src" / "tests" / "test_run.py" test_run_contents = path_to_example_test.read_text("utf-8") failed_test_str = test_run_contents.replace( - "test_create_catalog():", "test_create_catalog():\n assert False" + "test_project_name(self, project_context):", + "test_project_name(self, project_context):\n assert False", ) path_to_example_test.write_text(failed_test_str) diff --git a/kedro/cli/cli.py b/kedro/cli/cli.py index 0957a047b8..9fdeefdd86 100644 --- a/kedro/cli/cli.py +++ b/kedro/cli/cli.py @@ -37,6 +37,7 @@ import shutil import sys import traceback +import warnings import webbrowser from collections import defaultdict from copy import deepcopy @@ -57,8 +58,7 @@ TEMPLATE_PATH = os.path.join(KEDRO_PATH, "template") CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"]) -NO_DEFAULT = object() -_KEDRO_CONTEXT = {"verbose": True} +_VERBOSE = True LOGO = r""" _ _ @@ -87,7 +87,8 @@ def cli(verbose): When inside a Kedro project (created with `kedro new`) commands from the project's `kedro_cli.py` file will also be available here. """ - _KEDRO_CONTEXT["verbose"] = verbose + global _VERBOSE # pylint: disable=global-statement + _VERBOSE = verbose ENTRY_POINT_GROUPS = { @@ -165,7 +166,7 @@ def new(config): python_package, include_example) and output_dir - the parent directory for the new project directory. """ - _create_project(config, _KEDRO_CONTEXT["verbose"]) + _create_project(config, _VERBOSE) @cli.command(short_help="See the kedro API docs and introductory tutorial.") @@ -502,15 +503,14 @@ def _get_prompt_text(title, *text): return "\n".join(str(x).strip() for x in prompt_text) + "\n" -def get_project_context(key: Any, default: Any = NO_DEFAULT) -> Any: # pragma: no cover +def get_project_context(key: str = "context", **kwargs) -> Any: """Get a value from the project context. The user is responsible having the specified key in their project's context which typically is exposed in the ``__kedro_context__`` function in ``run.py`` Args: - key: Key in Kedro context dictionary. - default: Default value if the key is not found. If not provided - and the key is not found, this will raise a ``KedroCliError``. + key: Optional key in Kedro context dictionary. Defaults to "context". + kwargs: Optional custom arguments defined by users. Returns: Requested value from Kedro context dictionary or the default if the key @@ -521,12 +521,50 @@ def get_project_context(key: Any, default: Any = NO_DEFAULT) -> Any: # pragma: specified. """ - _KEDRO_CONTEXT.update(load_context(Path.cwd())) + def _deprecation_msg(key): + msg_dict = { + "get_config": ["config_loader", "ConfigLoader"], + "create_catalog": ["catalog", "DataCatalog"], + "create_pipeline": ["pipeline", "Pipeline"], + "template_version": ["project_version", None], + "project_name": ["project_name", None], + "project_path": ["project_path", None], + } + attr, obj_name = msg_dict[key] + msg = '`get_project_context("{}")` is now deprecated. '.format(key) + if obj_name: + msg += ( + "This is still returning a function that returns `{}` " + "instance, however passed arguments have no effect anymore. ".format( + obj_name + ) + ) + msg += ( + "Please get `KedroContext` instance by calling `get_project_context()` " + "and use its `{}` attribute.".format(attr) + ) + + return msg + + context = load_context(Path.cwd(), **kwargs) try: - value = _KEDRO_CONTEXT[key] + # Dictionary to be compatible with existing Plugins. Future plugins should + # retrieve necessary Kedro project properties from context + value = { + "context": context, + "get_config": lambda project_path, env=None, **kw: context.config_loader, + "create_catalog": lambda config, **kw: context.catalog, + "create_pipeline": lambda **kw: context.pipeline, + "template_version": context.project_version, + "project_name": context.project_name, + "project_path": context.project_path, + "verbose": _VERBOSE, + }[key] + + if key not in ("verbose", "context"): + warnings.warn(_deprecation_msg(key), DeprecationWarning) + except KeyError: - if default is not NO_DEFAULT: - return default _handle_exception( "`{}` not found in the context returned by " "__get_kedro_context__".format(key) @@ -590,7 +628,7 @@ def main(): # pragma: no cover def _handle_exception(msg, end=True): """Pretty print the current exception then exit.""" - if _KEDRO_CONTEXT["verbose"]: + if _VERBOSE: click.secho(traceback.format_exc(), nl=False, fg="yellow") else: etype, value, _ = sys.exc_info() diff --git a/kedro/context/context.py b/kedro/context/context.py index aa015cf2a9..35df41ac5c 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -51,6 +51,7 @@ class KedroContext(abc.ABC): Attributes: CONF_ROOT: Name of root directory containing project configuration. + Default name is "conf". Example: :: @@ -83,6 +84,34 @@ def __init__(self, project_path: Union[Path, str], env: str = "local"): self._setup_logging() self._catalog = self._create_catalog() + @property + @abc.abstractmethod + def project_name(self) -> str: + """Abstract property for Kedro project name. + + Returns: + Name of Kedro project. + + """ + raise NotImplementedError( + "`{}` is a subclass of KedroContext and it must implement " + "the `project_name` property".format(self.__class__.__name__) + ) + + @property + @abc.abstractmethod + def project_version(self) -> str: + """Abstract property for Kedro version. + + Returns: + Kedro version. + + """ + raise NotImplementedError( + "`{}` is a subclass of KedroContext and it must implement " + "the `project_version` property".format(self.__class__.__name__) + ) + @property @abc.abstractmethod def pipeline(self) -> Pipeline: @@ -129,6 +158,17 @@ def io(self) -> DataCatalog: # pylint: disable=invalid-name return self._catalog + @property + def config_loader(self) -> ConfigLoader: + """Read-only property referring to Kedro's ``ConfigLoader`` for this + context. + + Returns: + Instance of `ConfigLoader` created by `_create_config()`. + + """ + return self._config_loader + def _create_config(self) -> ConfigLoader: """Load Kedro's configuration at the root of the project. @@ -216,14 +256,16 @@ def run(self, tags: Iterable[str] = None, runner: AbstractRunner = None) -> None runner.run(pipeline, self.catalog) -def load_context(proj_path: Union[str, Path]) -> Dict: - """Load a context dictionary defined in `kedro_cli.__kedro_context__`. +def load_context(project_path: Union[str, Path], **kwargs) -> KedroContext: + """Loads KedroContext object defined in `kedro_cli.__kedro_context__`. + This function will change the current working directory to the project path. Args: - proj_path: Path to the Kedro project. + project_path: Path to the Kedro project. + kwargs: Optional custom arguments defined by users. Returns: - Kedro context dictionary. + Instance of KedroContext class defined in Kedro project. Raises: KedroContextError: If another project context has already been loaded. @@ -232,21 +274,22 @@ def load_context(proj_path: Union[str, Path]) -> Dict: # global due to importlib caching import_module("kedro_cli") call global _LOADED_PATH # pylint: disable=global-statement - proj_path = Path(proj_path).expanduser().resolve() + project_path = Path(project_path).expanduser().resolve() - if _LOADED_PATH and proj_path != _LOADED_PATH: + if _LOADED_PATH and project_path != _LOADED_PATH: raise KedroContextError( "Cannot load context for `{}`, since another project `{}` has " - "already been loaded".format(proj_path, _LOADED_PATH) + "already been loaded".format(project_path, _LOADED_PATH) ) - - if str(proj_path) not in sys.path: - sys.path.append(str(proj_path)) + if str(project_path) not in sys.path: + sys.path.append(str(project_path)) kedro_cli = importlib.import_module("kedro_cli") - result = kedro_cli.__get_kedro_context__() # type: ignore - _LOADED_PATH = proj_path - os.chdir(str(proj_path)) # Move to project root + if os.getcwd() != str(project_path): + warn("Changing the current working directory to {}".format(str(project_path))) + os.chdir(str(project_path)) # Move to project root + result = kedro_cli.__get_kedro_context__(**kwargs) # type: ignore + _LOADED_PATH = project_path return result diff --git a/kedro/template/{{ cookiecutter.repo_name }}/.ipython/profile_default/startup/00-kedro-init.py b/kedro/template/{{ cookiecutter.repo_name }}/.ipython/profile_default/startup/00-kedro-init.py index 57e482755c..ac3dbef1db 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/.ipython/profile_default/startup/00-kedro-init.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/.ipython/profile_default/startup/00-kedro-init.py @@ -4,53 +4,29 @@ from IPython.core.magic import register_line_magic +from kedro.context import load_context + @register_line_magic -def reload_kedro(line=None): +def reload_kedro(project_path, line=None): """"Line magic which reloads all Kedro default variables.""" - global proj_dir - global proj_name - global conf - global io global startup_error + global context try: import kedro.config.default_logger from kedro.context import load_context - proj_name = "{{cookiecutter.project_name}}" - logging.info("** Kedro project {}".format(proj_name)) - - project_context = load_context(proj_dir) + context = load_context(project_path) - conf = project_context["get_config"](proj_dir) - io = project_context["create_catalog"](conf) + logging.info("** Kedro project {}".format(context.project_name)) - logging.info("Defined global variables proj_dir, proj_name, conf and io") + logging.info("Defined global variable context") except ImportError: - logging.error("Kedro appears not to be installed in your current environment.") + logging.error( + "Kedro appears not to be installed in your current environment " + "or your current IPython session was not started in a valid Kedro project." + ) raise - except KeyError as err: - startup_error = err - if "create_catalog" in str(err): - message = ( - "The function `create_catalog` is missing from " - "{{cookiecutter.repo_name}}/src/" - "{{cookiecutter.python_package}}/run.py." - "\nEither restore this function, or update " - "{{cookiecutter.repo_name}}/" - ".ipython/profile_default/startup/00-kedro-init.py." - ) - elif "get_config" in str(err): - message = ( - "The function `get_config` is missing from " - "{{cookiecutter.repo_name}}/src/" - "{{cookiecutter.python_package}}/run.py." - "\nEither restore this function, or update " - "{{cookiecutter.repo_name}}/" - ".ipython/profile_default/startup/00-kedro-init.py." - ) - logging.error(message) - raise err except Exception as err: startup_error = err logging.error("Kedro's ipython session startup script failed:\n%s", str(err)) @@ -59,5 +35,5 @@ def reload_kedro(line=None): # Find the project root (./../../../) startup_error = None -proj_dir = str(Path(__file__).parents[3].resolve()) -reload_kedro() +project_path = Path(__file__).parents[3].resolve() +reload_kedro(project_path) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py index 79acc3bda3..99b62f4ba3 100755 --- a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py @@ -36,11 +36,14 @@ from collections import Counter from glob import iglob from pathlib import Path +from typing import Union import click from click import secho, style from kedro.cli import main as kedro_main from kedro.cli.utils import KedroCliError, call, forward_command, python_call, export_nodes +from kedro.utils import load_obj +from kedro.runner import SequentialRunner CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"]) @@ -77,17 +80,17 @@ RUNNER_ARG_HELP = """Specify a runner that you want to run the pipeline with. This option cannot be used together with --parallel.""" -CONVERT_ALL_HELP = """Extract the nodes from all notebooks in the Kedro project directory, +CONVERT_ALL_HELP = """Extract the nodes from all notebooks in the Kedro project directory, including sub-folders.""" -OVERWRITE_HELP = """If Python file already exists for the equivalent notebook, +OVERWRITE_HELP = """If Python file already exists for the equivalent notebook, overwrite its contents.""" -def __get_kedro_context__(): +def __get_kedro_context__(**kwargs): """Used to provide this project's context to plugins.""" from {{cookiecutter.python_package}}.run import __kedro_context__ - return __kedro_context__() + return __kedro_context__(**kwargs) @click.group(context_settings=CONTEXT_SETTINGS, name=__file__) @@ -96,7 +99,9 @@ def cli(): @cli.command() -@click.option("--runner", "-r", type=str, default=None, multiple=False, help=RUNNER_ARG_HELP) +@click.option( + "--runner", "-r", type=str, default=None, multiple=False, help=RUNNER_ARG_HELP +) @click.option("--parallel", "-p", is_flag=True, multiple=False, help=PARALLEL_ARG_HELP) @click.option("--env", "-e", type=str, default=None, multiple=False, help=ENV_ARG_HELP) @click.option("--tag", "-t", type=str, default=None, multiple=True, help=TAG_ARG_HELP) @@ -110,7 +115,8 @@ def run(tag, env, parallel, runner): ) if parallel: runner = "ParallelRunner" - main(tags=tag, env=env, runner=runner) + runner_class = load_obj(runner, "kedro.runner") if runner else SequentialRunner + main(tags=tag, env=env, runner=runner_class()) @forward_command(cli, forward_help=True) @@ -251,7 +257,7 @@ def convert_notebook(all_flag, overwrite_flag, filepath): ) return - kedro_project_path = __get_kedro_context__()["project_path"] + kedro_project_path = __get_kedro_context__(**kwargs)["project_path"] kedro_package_name = "{{cookiecutter.python_package}}" if all_flag: @@ -296,7 +302,7 @@ def convert_notebook(all_flag, overwrite_flag, filepath): def ipython_message(): """Show a message saying how we have configured the IPython env.""" - ipy_vars = ["proj_dir", "proj_name", "io", "startup_error"] + ipy_vars = ["startup_error", "context"] secho("-" * 79, fg="cyan") secho("Starting a Kedro session with the following variables in scope") secho(", ".join(ipy_vars), fg="green") diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py b/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py index 2705a9c587..92ca544d42 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py @@ -42,38 +42,18 @@ from kedro.config import ConfigLoader from kedro.io import DataCatalog -from {{ cookiecutter.python_package }}.run import ( - CONF_ROOT, - DEFAULT_RUN_ENV, - create_catalog, - get_config, - main, -) +from {{ cookiecutter.python_package }}.run import ProjectContext -def test_main_wrong_cwd(mocker): - cwd = mocker.MagicMock(name="mocked", __str__=mocker.Mock(return_value="invalid/")) - mocker.patch.object(Path, "cwd", return_value=cwd) - with pytest.raises( - ValueError, - match=r"Given configuration path either does not " - r"exist or is not a valid directory: invalid.*", - ): - main() +@pytest.fixture +def project_context(): + return ProjectContext(str(Path.cwd())) -def test_get_config(): - project_dir = abspath(curdir) - local_env = join(project_dir, CONF_ROOT, DEFAULT_RUN_ENV) +class TestProjectContext: + def test_project_name(self, project_context): + assert project_context.project_name == "{{ cookiecutter.project_name }}" - conf = get_config(project_dir, env=None) + def test_project_version(self, project_context): + assert project_context.project_version == "{{ cookiecutter.kedro_version }}" - assert isinstance(conf, ConfigLoader) - assert local_env in conf.conf_paths - - -def test_create_catalog(): - project_dir = abspath(curdir) - conf = get_config(project_dir) - catalog = create_catalog(conf) - assert isinstance(catalog, DataCatalog) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py index d43ca041ea..11afe37185 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py @@ -30,95 +30,59 @@ import logging.config from pathlib import Path -from typing import Iterable +from typing import Iterable, Type, Union from warnings import warn from kedro.cli.utils import KedroCliError from kedro.config import ConfigLoader, MissingConfigException +from kedro.context import KedroContext from kedro.io import DataCatalog -from kedro.runner import SequentialRunner +from kedro.runner import AbstractRunner from kedro.utils import load_obj +from kedro.pipeline import Pipeline from {{ cookiecutter.python_package }}.pipeline import create_pipeline -# Name of root directory containing project configuration. -CONF_ROOT = "conf" -# Default configuration environment to be used for running the pipeline. -# Change this constant value if you want to load configuration -# from a different location. -DEFAULT_RUN_ENV = "local" +class ProjectContext(KedroContext): + """Users can override the remaining methods from the parent class here, or create new ones + (e.g. as required by plugins) - -def __kedro_context__(): - """Provide this project's context to ``kedro`` CLI and plugins. - Please do not rename or remove, as this will break the CLI tool. - - Plugins may request additional objects from this method. """ - return { - "get_config": get_config, - "create_catalog": create_catalog, - "create_pipeline": create_pipeline, - "template_version": "{{ cookiecutter.kedro_version }}", - "project_name": "{{ cookiecutter.project_name }}", - "project_path": Path.cwd(), - } + project_name = "{{ cookiecutter.project_name }}" + project_version = "{{ cookiecutter.kedro_version }}" -def get_config(project_path: str, env: str = None, **kwargs) -> ConfigLoader: - """Loads Kedro's configuration at the root of the project. - - Args: - project_path: The root directory of the Kedro project. - env: The environment used for loading configuration. - kwargs: Ignore any additional arguments added in the future. - - Returns: - ConfigLoader which can be queried to access the project config. + @property + def pipeline(self) -> Pipeline: + return create_pipeline() - """ - project_path = Path(project_path) - env = env or DEFAULT_RUN_ENV - conf_paths = [ - str(project_path / CONF_ROOT / "base"), - str(project_path / CONF_ROOT / env), - ] - return ConfigLoader(conf_paths) +def __kedro_context__(env: str = None, **kwargs) -> KedroContext: + """Provide this project's context to ``kedro`` CLI and plugins. + Please do not rename or remove, as this will break the CLI tool. -def create_catalog(config: ConfigLoader, **kwargs) -> DataCatalog: - """Loads Kedro's ``DataCatalog``. + Plugins may request additional objects from this method. Args: - config: ConfigLoader which can be queried to access the project config. - kwargs: Ignore any additional arguments added in the future. - + env: An optional parameter specifying the environment in which + the ``Pipeline`` should be run. If not specified defaults to "local". + kwargs: Optional custom arguments defined by users. Returns: - DataCatalog defined in `catalog.yml`. + Instance of ProjectContext class defined in Kedro project. """ - conf_logging = config.get("logging*", "logging*/**") - logging.config.dictConfig(conf_logging) - conf_catalog = config.get("catalog*", "catalog*/**") - - try: - conf_creds = config.get("credentials*", "credentials*/**") - except MissingConfigException: - warn("Your Kedro project is missing a credentials file!") - conf_creds = None + if env is None: + # Default configuration environment to be used for running the pipeline. + # Change this constant value if you want to load configuration + # from a different location. + env = "local" - conf_params = config.get("parameters*", "parameters*/**") - logging.config.dictConfig(conf_logging) - catalog = DataCatalog.from_config(conf_catalog, conf_creds) - catalog.add_feed_dict({"parameters": conf_params}) - return catalog + return ProjectContext(Path.cwd(), env, **kwargs) def main( - tags: Iterable[str] = None, - env: str = None, - runner: str = None, + tags: Iterable[str] = None, env: str = None, runner: Type[AbstractRunner] = None ): """Application main entry point. @@ -131,31 +95,10 @@ def main( runner: An optional parameter specifying the runner that you want to run the pipeline with. - Raises: - KedroCliError: If the resulting ``Pipeline`` is empty. - """ - # Report project name - logging.info("** Kedro project {}".format(Path.cwd().name)) - - # Load Catalog - conf = get_config(project_path=str(Path.cwd()), env=env) - catalog = create_catalog(config=conf) - - # Load the pipeline - pipeline = create_pipeline() - pipeline = pipeline.only_nodes_with_tags(*tags) if tags else pipeline - if not pipeline.nodes: - if tags: - raise KedroCliError("Pipeline contains no nodes with tags: " + str(tags)) - raise KedroCliError("Pipeline contains no nodes") - - # Load the runner - # When either --parallel or --runner is used, class_obj is assigned to runner - runner = load_obj(runner, "kedro.runner") if runner else SequentialRunner - - # Run the runner - runner().run(pipeline, catalog) + + context = __kedro_context__(env) + context.run(tags, runner) if __name__ == "__main__": diff --git a/tests/cli/test_cli.py b/tests/cli/test_cli.py index f2261b8289..861eb1163d 100644 --- a/tests/cli/test_cli.py +++ b/tests/cli/test_cli.py @@ -34,6 +34,7 @@ from pytest import fixture, mark, raises, warns from kedro import __version__ as version +from kedro.cli import get_project_context from kedro.cli.cli import _get_plugin_command_groups, _init_plugins, cli from kedro.cli.utils import ( CommandCollection, @@ -99,6 +100,23 @@ def requirements_file(tmp_path): yield reqs_file +# pylint:disable=too-few-public-methods +class DummyContext: + def __init__(self): + self.config_loader = "config_loader" + + catalog = "catalog" + pipeline = "pipeline" + project_name = "dummy_name" + project_path = "dummy_path" + project_version = "dummy_version" + + +@fixture +def dummy_context(mocker): + return mocker.patch("kedro.cli.cli.load_context", return_value=DummyContext()) + + class TestCliCommands: def test_cli(self, cli_runner): """Run `kedro` without arguments.""" @@ -368,6 +386,86 @@ def test_export_nodes_json_error(self, nodes_path): export_nodes(random_file, output_path) +@mark.usefixtures("dummy_context") +class TestGetProjectContext: + def _deprecation_msg(self, key): + msg_dict = { + "get_config": ["config_loader", "ConfigLoader"], + "create_catalog": ["catalog", "DataCatalog"], + "create_pipeline": ["pipeline", "Pipeline"], + "template_version": ["project_version", None], + "project_name": ["project_name", None], + "project_path": ["project_path", None], + } + attr, obj_name = msg_dict[key] + msg = r"\`get_project_context\(\"{}\"\)\` is now deprecated\. ".format(key) + if obj_name: + msg += ( + r"This is still returning a function that returns \`{}\` " + r"instance\, however passed arguments have no effect anymore\. ".format( + obj_name + ) + ) + msg += ( + r"Please get \`KedroContext\` instance by calling " + r"\`get_project_context\(\)\` and use its \`{}\` attribute\.".format(attr) + ) + return msg + + def test_context(self): + dummy_context = get_project_context("context") + assert isinstance(dummy_context, DummyContext) + + def test_get_config(self, tmp_path): + key = "get_config" + pattern = self._deprecation_msg(key) + with warns(DeprecationWarning, match=pattern): + config_loader = get_project_context(key) + assert config_loader(tmp_path) == "config_loader" + + def test_create_catalog(self): + key = "create_catalog" + pattern = self._deprecation_msg(key) + with warns(DeprecationWarning, match=pattern): + catalog = get_project_context(key) + assert catalog("config") == "catalog" + + def test_create_pipeline(self): + key = "create_pipeline" + pattern = self._deprecation_msg(key) + with warns(DeprecationWarning, match=pattern): + pipeline = get_project_context(key) + assert pipeline() == "pipeline" + + def test_template_version(self): + key = "template_version" + pattern = self._deprecation_msg(key) + with warns(DeprecationWarning, match=pattern): + assert get_project_context(key) == "dummy_version" + + def test_project_name(self): + key = "project_name" + pattern = self._deprecation_msg(key) + with warns(DeprecationWarning, match=pattern): + assert get_project_context(key) == "dummy_name" + + def test_project_path(self): + key = "project_path" + pattern = self._deprecation_msg(key) + with warns(DeprecationWarning, match=pattern): + assert get_project_context(key) == "dummy_path" + + def test_verbose(self): + assert not get_project_context("verbose") + + def test_invalid_key(self): + pattern = ( + r"`invalid` not found in the context returned by __get_kedro_context__" + ) + with raises(Exception, match=pattern): + get_project_context("invalid") + + @fixture def entry_points(mocker): return mocker.patch("pkg_resources.iter_entry_points") diff --git a/tests/context/test_context.py b/tests/context/test_context.py index 00245c7b58..86b8df43ef 100644 --- a/tests/context/test_context.py +++ b/tests/context/test_context.py @@ -167,6 +167,9 @@ def identity(input1: str): class DummyContext(KedroContext): + project_name = "bob" + project_version = "fred" + @property def pipeline(self) -> Pipeline: return Pipeline( @@ -189,6 +192,12 @@ def dummy_context(tmp_path, mocker, env): @pytest.mark.usefixtures("config_dir") class TestKedroContext: + def test_project_name(self, dummy_context): + assert dummy_context.project_name == "bob" + + def test_project_version(self, dummy_context): + assert dummy_context.project_version == "fred" + def test_project_path(self, dummy_context, tmp_path): assert str(dummy_context.project_path) == str(tmp_path.resolve()) @@ -202,6 +211,19 @@ def test_io(self, dummy_context, dummy_dataframe): reloaded_df = dummy_context.io.load("cars") assert_frame_equal(reloaded_df, dummy_dataframe) + def test_config_loader(self, dummy_context): + params = dummy_context.config_loader.get("parameters*") + db_conf = dummy_context.config_loader.get("db*") + catalog = dummy_context.config_loader.get("catalog*") + + assert params["param1"] == 1 + assert db_conf["prod"]["url"] == "postgresql://user:pass@url_prod/db" + + assert catalog["trains"]["type"] == "CSVLocalDataSet" + assert catalog["cars"]["type"] == "CSVLocalDataSet" + assert catalog["boats"]["type"] == "CSVLocalDataSet" + assert not catalog["cars"]["save_args"]["index"] + def test_default_env(self, dummy_context): assert dummy_context.env == "local" @@ -288,13 +310,17 @@ def test_run_with_wrong_tags(self, dummy_context, dummy_dataframe): @pytest.mark.filterwarnings("ignore") def test_run_with_empty_pipeline(self, tmp_path, mocker): class DummyContext(KedroContext): + project_name = "bob" + project_version = "fred" + @property def pipeline(self) -> Pipeline: return Pipeline([]) mocker.patch("logging.config.dictConfig") dummy_context = DummyContext(str(tmp_path)) - + assert dummy_context.project_name == "bob" + assert dummy_context.project_version == "fred" pattern = "Pipeline contains no nodes" with pytest.raises(KedroContextError, match=pattern): dummy_context.run() From 0ea714fcbf3a3d932f91d2fee0adabfd874b01c9 Mon Sep 17 00:00:00 2001 From: Ivan Danov Date: Wed, 17 Jul 2019 10:22:46 +0100 Subject: [PATCH 30/83] Add a custom "Edit on GitHub" url in the docs (#138) --- docs/_templates/breadcrumbs.html | 94 ++++++++++++++++++++++++++++++++ docs/conf.py | 9 ++- 2 files changed, 102 insertions(+), 1 deletion(-) create mode 100644 docs/_templates/breadcrumbs.html diff --git a/docs/_templates/breadcrumbs.html b/docs/_templates/breadcrumbs.html new file mode 100644 index 0000000000..1fd84d9f89 --- /dev/null +++ b/docs/_templates/breadcrumbs.html @@ -0,0 +1,94 @@ +{# Support for Sphinx 1.3+ page_source_suffix, but don't break old builds. #} + +{% if page_source_suffix %} +{% set suffix = page_source_suffix %} +{% else %} +{% set suffix = source_suffix %} +{% endif %} + +{# modification to enable custom github_url #} + +{% if meta is not defined or meta is not none%} + {% set meta = {} %} +{% endif %} + +{% if github_url is defined %} + {% set _dummy = meta.update({'github_url': github_url}) %} +{% endif %} + +{# // modification to enable custom github_url #} + +{% if meta is defined and meta is not none %} +{% set check_meta = True %} +{% else %} +{% set check_meta = False %} +{% endif %} + +{% if check_meta and 'github_url' in meta %} +{% set display_github = True %} +{% endif %} + +{% if check_meta and 'bitbucket_url' in meta %} +{% set display_bitbucket = True %} +{% endif %} + +{% if check_meta and 'gitlab_url' in meta %} +{% set display_gitlab = True %} +{% endif %} + +

    + + + + {% if (theme_prev_next_buttons_location == 'top' or theme_prev_next_buttons_location == 'both') and (next or prev) %} + + {% endif %} +
    +
    diff --git a/docs/conf.py b/docs/conf.py index 3352108890..16d17f20ae 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -112,7 +112,14 @@ # further. For a list of options available for each theme, see the # documentation. # -html_theme_options = {"collapse_navigation": False, "style_external_links": True} +html_theme_options = {"collapse_navigation": False, + "style_external_links": True} + +html_context = { + "display_github": True, + "github_url": + "https://github.com/quantumblacklabs/kedro/tree/develop/docs/source" +} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, From 64046d2c9d64334c2ef76fb8f340182307133f9a Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Wed, 17 Jul 2019 12:36:01 +0100 Subject: [PATCH 31/83] [KED-872] Apply CSS styling to docs generated by `kedro build-docs` (#133) --- RELEASE.md | 7 ++++--- docs/conf.py | 6 ++---- kedro/cli/utils.py | 12 ++++++++++- kedro/io/core.py | 2 +- .../docs/source/conf.py | 20 ++++++++++++++++--- .../{{ cookiecutter.repo_name }}/src/setup.py | 2 ++ tests/contrib/io/parquet/test_parquet_s3.py | 18 ++++++++++------- 7 files changed, 48 insertions(+), 19 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index b8d973d667..7f86a7628a 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -6,9 +6,10 @@ * Added a new I/O module `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) ## Bug fixes and other changes -* Documentation improvements -* `anyconfig` default log level changed from `INFO` to `WARNING` -* Add information on installed plugins to `kedro info` +* Documentation improvements. +* `anyconfig` default log level changed from `INFO` to `WARNING`. +* Added information on installed plugins to `kedro info`. +* Added style sheets for project documentation, so the output of `kedro build-docs` will resemble the style of `kedro docs`. ## Breaking changes to the API * Simplify the Kedro template in `run.py` with the introduction of `KedroContext` class. diff --git a/docs/conf.py b/docs/conf.py index 16d17f20ae..6932a5bebc 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -112,13 +112,11 @@ # further. For a list of options available for each theme, see the # documentation. # -html_theme_options = {"collapse_navigation": False, - "style_external_links": True} +html_theme_options = {"collapse_navigation": False, "style_external_links": True} html_context = { "display_github": True, - "github_url": - "https://github.com/quantumblacklabs/kedro/tree/develop/docs/source" + "github_url": "https://github.com/quantumblacklabs/kedro/tree/develop/docs/source", } # Add any paths that contain custom static files (such as style sheets) here, diff --git a/kedro/cli/utils.py b/kedro/cli/utils.py index 7d53dc6190..a731509676 100644 --- a/kedro/cli/utils.py +++ b/kedro/cli/utils.py @@ -34,7 +34,7 @@ import sys from itertools import chain from pathlib import Path -from typing import Any, Dict, Sequence, Tuple, Union +from typing import Any, Dict, Iterable, Sequence, Tuple, Union from warnings import warn import click @@ -58,6 +58,16 @@ def python_call(module, arguments, **kwargs): # pragma: no cover call([sys.executable, "-m", module] + list(arguments), **kwargs) +def find_stylesheets() -> Iterable[str]: # pragma: no cover + """Fetch all stylesheets used in the official Kedro documentation""" + css_path = Path(__file__).resolve().parents[1] / "html" / "_static" / "css" + return ( + str(css_path / "copybutton.css"), + str(css_path / "qb1-sphinx-rtd.css"), + str(css_path / "theme-overrides.css"), + ) + + def _append_source_code(cell: Dict[str, Any], path: Path) -> None: source_code = "".join(cell["source"]).strip() + "\n" with path.open(mode="a") as file_: diff --git a/kedro/io/core.py b/kedro/io/core.py index d39b43d389..8ff8ad02be 100644 --- a/kedro/io/core.py +++ b/kedro/io/core.py @@ -378,7 +378,7 @@ def _local_exists(filepath: str) -> bool: class AbstractVersionedDataSet(AbstractDataSet): """ - `AbstractVersionedDataSet`` is the base class for all versioned data set implementations. + ``AbstractVersionedDataSet`` is the base class for all versioned data set implementations. All data sets that implement versioning should extend this abstract class and implement the methods marked as abstract. diff --git a/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py b/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py index 84c34cd6b7..3e325d5c30 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py @@ -47,6 +47,9 @@ # import re +from kedro.cli.utils import find_stylesheets +from recommonmark.transform import AutoStructify + from {{ cookiecutter.python_package }} import __version__ as release # -- Project information ----------------------------------------------------- @@ -79,16 +82,21 @@ "sphinx.ext.viewcode", "sphinx.ext.mathjax", "nbsphinx", + "recommonmark", + "sphinx_copybutton", ] +# enable autosummary plugin (table of contents for modules/classes/class +# methods) +autosummary_generate = True + # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # -# source_suffix = ['.rst', '.md'] -source_suffix = ".rst" +source_suffix = {".rst": "restructuredtext", ".md": "markdown"} # The master toctree document. master_doc = "index" @@ -119,7 +127,7 @@ # further. For a list of options available for each theme, see the # documentation. # -# html_theme_options = {} +html_theme_options = {"collapse_navigation": False, "style_external_links": True} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, @@ -241,3 +249,9 @@ def skip(app, what, name, obj, skip, options): def setup(app): app.connect("autodoc-process-docstring", autodoc_process_docstring) app.connect("autodoc-skip-member", skip) + # add Kedro styleheets + for stylesheet in find_stylesheets(): + app.add_stylesheet(stylesheet) + # enable rendering RST tables in Markdown + app.add_config_value("recommonmark_config", {"enable_eval_rst": True}, True) + app.add_transform(AutoStructify) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/setup.py b/kedro/template/{{ cookiecutter.repo_name }}/src/setup.py index 0a55e0f6d7..50c77e9654 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/setup.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/setup.py @@ -48,7 +48,9 @@ "sphinx_rtd_theme==0.4.1", "nbsphinx==0.3.4", "nbstripout==0.3.3", + "recommonmark==0.5.0", "sphinx-autodoc-typehints==1.6.0", + "sphinx_copybutton==0.2.5", "jupyter_client>=5.1.0, <6.0", "tornado>=4.2, <6.0", "ipykernel>=4.8.1, <5.0", diff --git a/tests/contrib/io/parquet/test_parquet_s3.py b/tests/contrib/io/parquet/test_parquet_s3.py index ce141274c4..8b30747d3e 100644 --- a/tests/contrib/io/parquet/test_parquet_s3.py +++ b/tests/contrib/io/parquet/test_parquet_s3.py @@ -80,11 +80,9 @@ def mocked_s3_object(mocked_s3_bucket, dummy_dataframe: pd.DataFrame): table = pa.Table.from_pandas(dummy_dataframe) pq.write_table(table, FILENAME) - with open(FILENAME, 'rb') as f: + with open(FILENAME, "rb") as f: object_data = f.read() - mocked_s3_bucket.put_object( - Bucket=BUCKET_NAME, Key=FILENAME, Body=object_data - ) + mocked_s3_bucket.put_object(Bucket=BUCKET_NAME, Key=FILENAME, Body=object_data) return mocked_s3_bucket @@ -93,7 +91,10 @@ def s3_data_set(load_args, save_args): return ParquetS3DataSet( filepath=FILENAME, bucket_name=BUCKET_NAME, - credentials={'aws_access_key_id': 'YOUR_KEY', 'aws_secret_access_key': 'YOUR SECRET'}, + credentials={ + "aws_access_key_id": "YOUR_KEY", + "aws_secret_access_key": "YOUR SECRET", + }, load_args=load_args, save_args=save_args, ) @@ -105,7 +106,7 @@ def mocked_s3_object_versioned(mocked_s3_bucket, dummy_dataframe, save_version): table = pa.Table.from_pandas(dummy_dataframe) pq.write_table(table, FILENAME) - with open(FILENAME, 'rb') as f: + with open(FILENAME, "rb") as f: object_data = f.read() mocked_s3_bucket.put_object( Bucket=BUCKET_NAME, @@ -120,7 +121,10 @@ def versioned_s3_data_set(load_version, save_version): return ParquetS3DataSet( filepath=FILENAME, bucket_name=BUCKET_NAME, - credentials={'aws_access_key_id': 'YOUR_KEY', 'aws_secret_access_key': 'YOUR SECRET'}, + credentials={ + "aws_access_key_id": "YOUR_KEY", + "aws_secret_access_key": "YOUR SECRET", + }, version=Version(load_version, save_version), ) From ed37a6318a1cd3e80dae6bc0ee56ea34e33bf54d Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Thu, 18 Jul 2019 18:29:09 +0300 Subject: [PATCH 32/83] Fix S3 datasets after s3fs update (#144) --- kedro/contrib/io/parquet/parquet_s3.py | 3 +-- kedro/io/csv_s3.py | 3 +-- kedro/io/hdf_s3.py | 3 +-- kedro/io/pickle_s3.py | 3 +-- requirements.txt | 2 +- tests/contrib/io/parquet/test_parquet_s3.py | 3 +-- tests/io/conftest.py | 7 ++----- 7 files changed, 8 insertions(+), 16 deletions(-) diff --git a/kedro/contrib/io/parquet/parquet_s3.py b/kedro/contrib/io/parquet/parquet_s3.py index 3224c38753..b0a7672ec7 100644 --- a/kedro/contrib/io/parquet/parquet_s3.py +++ b/kedro/contrib/io/parquet/parquet_s3.py @@ -30,7 +30,6 @@ data to parquet files on S3 """ from copy import deepcopy -from functools import partial from pathlib import PurePosixPath from typing import Any, Dict, Optional @@ -107,7 +106,7 @@ def __init__( PurePosixPath("{}/{}".format(bucket_name, filepath)), version, exists_function=_s3.exists, - glob_function=partial(_s3.glob, refresh=True), + glob_function=_s3.glob, ) default_load_args = {} # type: Dict[str, Any] diff --git a/kedro/io/csv_s3.py b/kedro/io/csv_s3.py index 7ac55d4e10..932a18a680 100644 --- a/kedro/io/csv_s3.py +++ b/kedro/io/csv_s3.py @@ -30,7 +30,6 @@ to read and write from S3 and pandas to handle the csv file. """ from copy import deepcopy -from functools import partial from pathlib import PurePosixPath from typing import Any, Dict, Optional @@ -101,7 +100,7 @@ def __init__( PurePosixPath("{}/{}".format(bucket_name, filepath)), version, exists_function=_s3.exists, - glob_function=partial(_s3.glob, refresh=True), + glob_function=_s3.glob, ) default_save_args = {"index": False} self._save_args = ( diff --git a/kedro/io/hdf_s3.py b/kedro/io/hdf_s3.py index 8d22805fa0..90163dc382 100644 --- a/kedro/io/hdf_s3.py +++ b/kedro/io/hdf_s3.py @@ -31,7 +31,6 @@ so it supports all allowed PyTables options for loading and saving hdf files. """ from copy import deepcopy -from functools import partial from pathlib import PurePosixPath from typing import Any, Dict, Optional @@ -109,7 +108,7 @@ def __init__( PurePosixPath("{}/{}".format(bucket_name, filepath)), version, exists_function=_s3.exists, - glob_function=partial(_s3.glob, refresh=True), + glob_function=_s3.glob, ) default_load_args = {} # type: Dict[str, Any] diff --git a/kedro/io/pickle_s3.py b/kedro/io/pickle_s3.py index d2cb9a1ced..5fbb41af9a 100644 --- a/kedro/io/pickle_s3.py +++ b/kedro/io/pickle_s3.py @@ -32,7 +32,6 @@ """ import pickle from copy import deepcopy -from functools import partial from pathlib import PurePosixPath from typing import Any, Dict, Optional @@ -104,7 +103,7 @@ def __init__( PurePosixPath("{}/{}".format(bucket_name, filepath)), version, exists_function=_s3.exists, - glob_function=partial(_s3.glob, refresh=True), + glob_function=_s3.glob, ) default_load_args = {} # type: Dict[str, Any] diff --git a/requirements.txt b/requirements.txt index 772fc88b01..0bc1debc3e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -11,4 +11,4 @@ xlsxwriter>=1.0.7, <2.0 anyconfig==0.9.7 python-json-logger==0.1.9 memory_profiler==0.54.0 -s3fs>=0.2.1, <1.0 +s3fs>=0.3.0, <1.0 diff --git a/tests/contrib/io/parquet/test_parquet_s3.py b/tests/contrib/io/parquet/test_parquet_s3.py index 8b30747d3e..a778789a09 100644 --- a/tests/contrib/io/parquet/test_parquet_s3.py +++ b/tests/contrib/io/parquet/test_parquet_s3.py @@ -135,8 +135,7 @@ def s3fs_cleanup(): # s3fs caches some connection details globally, which should be # cleared so we get a clean slate every time we instantiate a S3FileSystem yield - S3FileSystem._conn = {} - S3FileSystem._singleton = [None] + S3FileSystem.cachable = False @pytest.mark.usefixtures("s3fs_cleanup") diff --git a/tests/io/conftest.py b/tests/io/conftest.py index d046243084..9824d26c3b 100644 --- a/tests/io/conftest.py +++ b/tests/io/conftest.py @@ -60,11 +60,8 @@ def save_version(request): return request.param or generate_current_version() -# pylint: disable=protected-access @fixture(autouse=True) def s3fs_cleanup(): - # s3fs caches some connection details globally, which should be - # cleared so we get a clean slate every time we instantiate a S3FileSystem + # clear cache so we get a clean slate every time we instantiate a S3FileSystem yield - S3FileSystem._conn = {} - S3FileSystem._singleton = [None] + S3FileSystem.cachable = False From c9c49e0dfe1571e93cf6c57a5bd50d3237aadeb5 Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Thu, 18 Jul 2019 19:04:10 +0300 Subject: [PATCH 33/83] Update docs about kedro convert (#142) --- docs/source/03_tutorial/04_create_pipelines.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/03_tutorial/04_create_pipelines.md b/docs/source/03_tutorial/04_create_pipelines.md index e1e8a076a8..cc63275f83 100644 --- a/docs/source/03_tutorial/04_create_pipelines.md +++ b/docs/source/03_tutorial/04_create_pipelines.md @@ -2,7 +2,7 @@ This section covers how to create a pipeline from a set of `node`s, which are Python functions, as described in more detail in the [nodes and pipelines user guide](../04_user_guide/05_nodes_and_pipelines.md) documentation. -1. As you draft experimental code, you can use a [Jupyter Notebook](../04_user_guide/10_ipython.md#working-with-kedro-projects-from-jupyter) or [IPython session](../04_user_guide/10_ipython.md). If you include [`docstrings`](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) to explain what your functions do, you can take advantage of [auto-generated Sphinx documentation](http://www.sphinx-doc.org/en/master/) later on. Once you are happy with how you have written your `node` functions, you will copy & paste the code into the `src/kedro_tutorial/nodes/` folder as a `.py` file. +1. As you draft experimental code, you can use a [Jupyter Notebook](../04_user_guide/10_ipython.md#working-with-kedro-projects-from-jupyter) or [IPython session](../04_user_guide/10_ipython.md). If you include [`docstrings`](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) to explain what your functions do, you can take advantage of [auto-generated Sphinx documentation](http://www.sphinx-doc.org/en/master/) later on. Once you are happy with how you have written your `node` functions, you will run `kedro jupyter convert --all` (or `kedro jupyter convert `) to export the code into the `src/kedro_tutorial/nodes/` folder as a `.py` file. 2. When you are ready with a node you should add it to the pipeline in `src/kedro_tutorial/pipeline.py`, specifying its inputs and outputs. From f962f673a36cab979ba6ffb2c648e5e130b2dfc0 Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Fri, 19 Jul 2019 11:39:51 +0300 Subject: [PATCH 34/83] [KED-876] Show example of node tagging in User Guide (#143) --- .../04_user_guide/05_nodes_and_pipelines.md | 21 +++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/docs/source/04_user_guide/05_nodes_and_pipelines.md b/docs/source/04_user_guide/05_nodes_and_pipelines.md index 1a3322a623..5da0e137d2 100644 --- a/docs/source/04_user_guide/05_nodes_and_pipelines.md +++ b/docs/source/04_user_guide/05_nodes_and_pipelines.md @@ -105,6 +105,17 @@ There is a special syntax for describing function inputs and outputs. This allow Any combinations of the above are possible, except nodes of the form `node(f, None, None)` (at least a single input or output needs to be provided). +## Tagging nodes + +To tag a node, you can simply specify the `tag` argument, as follows: + +```python +node(func=add, inputs=["a", "b"], outputs="sum", name="adding_a_and_b", tag="node_tag") +``` + +Moreover, you can [tag all nodes in a ``Pipeline``](./05_nodes_and_pipelines.md#tagging-pipeline-nodes). + + ## Running nodes To run a node, you need to instantiate its inputs. In this case, the node expects two inputs: @@ -259,6 +270,16 @@ Outputs: v ################################## ``` +### Tagging pipeline nodes + +You can specify a `name` for your ``Pipeline``, which will be used to tag all of the pipeline's nodes. + +```python +pipeline = Pipeline([node(..., name="node1"), node(..., name="node2", tag="node_tag")], name="pipeline_tag") +``` + +Node `node1` will only be tagged with `pipeline_tag`, while `node2` will have both `node_tag` and `pipeline_tag`. + ### Merging pipelines You can merge multiple pipelines as shown below. Note that, in this case, `pipeline_de` and `pipeline_ds` are expanded to a list of their underlying nodes of nodes which are simply merged together: From ff5493d9e9e918bb9b3e1c1381a88693a6e13bbd Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Mon, 22 Jul 2019 12:28:05 +0300 Subject: [PATCH 35/83] Fix ParquetS3DataSet test (#147) --- tests/contrib/io/parquet/test_parquet_s3.py | 36 ++++++++++----------- 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/tests/contrib/io/parquet/test_parquet_s3.py b/tests/contrib/io/parquet/test_parquet_s3.py index a778789a09..74c8799d4e 100644 --- a/tests/contrib/io/parquet/test_parquet_s3.py +++ b/tests/contrib/io/parquet/test_parquet_s3.py @@ -75,14 +75,15 @@ def dummy_dataframe() -> pd.DataFrame: @pytest.fixture -def mocked_s3_object(mocked_s3_bucket, dummy_dataframe: pd.DataFrame): +def mocked_s3_object(tmp_path, mocked_s3_bucket, dummy_dataframe: pd.DataFrame): """Creates test data and adds it to mocked S3 bucket.""" table = pa.Table.from_pandas(dummy_dataframe) - pq.write_table(table, FILENAME) + temporary_path = tmp_path / FILENAME + pq.write_table(table, str(temporary_path)) - with open(FILENAME, "rb") as f: - object_data = f.read() - mocked_s3_bucket.put_object(Bucket=BUCKET_NAME, Key=FILENAME, Body=object_data) + mocked_s3_bucket.put_object( + Bucket=BUCKET_NAME, Key=FILENAME, Body=temporary_path.read_bytes() + ) return mocked_s3_bucket @@ -101,18 +102,19 @@ def s3_data_set(load_args, save_args): @pytest.fixture -def mocked_s3_object_versioned(mocked_s3_bucket, dummy_dataframe, save_version): +def mocked_s3_object_versioned( + tmp_path, mocked_s3_bucket, dummy_dataframe, save_version +): """Create versioned test data and add it to mocked S3 bucket.""" table = pa.Table.from_pandas(dummy_dataframe) - pq.write_table(table, FILENAME) - - with open(FILENAME, "rb") as f: - object_data = f.read() - mocked_s3_bucket.put_object( - Bucket=BUCKET_NAME, - Key="{0}/{1}/{0}".format(FILENAME, save_version), - Body=object_data, - ) + temporary_path = tmp_path / FILENAME + pq.write_table(table, str(temporary_path)) + + mocked_s3_bucket.put_object( + Bucket=BUCKET_NAME, + Key="{0}/{1}/{0}".format(FILENAME, save_version), + Body=temporary_path.read_bytes(), + ) return mocked_s3_bucket @@ -129,11 +131,9 @@ def versioned_s3_data_set(load_version, save_version): ) -# pylint: disable=protected-access @pytest.fixture() def s3fs_cleanup(): - # s3fs caches some connection details globally, which should be - # cleared so we get a clean slate every time we instantiate a S3FileSystem + # clear cache so we get a clean slate every time we instantiate a S3FileSystem yield S3FileSystem.cachable = False From e11bef3f3d8c05ff8bc5e2b458f2f8e0f376e6c2 Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Mon, 22 Jul 2019 14:43:03 +0300 Subject: [PATCH 36/83] [KED-881] Run argument that makes it easy for users to run one node at a time (#140) --- RELEASE.md | 6 ++-- .../source/03_tutorial/04_create_pipelines.md | 22 +++++++++++-- .../04_user_guide/05_nodes_and_pipelines.md | 31 +++++++++++++++++++ kedro/context/context.py | 19 ++++++++++-- kedro/pipeline/node.py | 2 +- kedro/pipeline/pipeline.py | 5 ++- .../{{ cookiecutter.repo_name }}/kedro_cli.py | 8 +++-- .../{{ cookiecutter.python_package }}/run.py | 11 +++++-- tests/context/test_context.py | 21 ++++++++++++- 9 files changed, 108 insertions(+), 17 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 7f86a7628a..e6690cc601 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -3,7 +3,8 @@ ## Major features and improvements * Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter notebook cells into Kedro nodes. * Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config). -* Added a new I/O module `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) +* Added a new I/O module `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) +* Added a new `--node` flag to `kedro run`, allowing users to run only the nodes with the specified names. ## Bug fixes and other changes * Documentation improvements. @@ -12,8 +13,9 @@ * Added style sheets for project documentation, so the output of `kedro build-docs` will resemble the style of `kedro docs`. ## Breaking changes to the API -* Simplify the Kedro template in `run.py` with the introduction of `KedroContext` class. +* Simplified the Kedro template in `run.py` with the introduction of `KedroContext` class. * Merged `FilepathVersionMixIn` and `S3VersionMixIn` under one abstract class `AbstractVersionedDataSet` which extends`AbstractDataSet`. +* `name` changed to be a keyword-only argument for `Pipeline`. #### Migration guide from Kedro 0.14.* to Kedro 0.15.0 ##### Migration for Kedro project template diff --git a/docs/source/03_tutorial/04_create_pipelines.md b/docs/source/03_tutorial/04_create_pipelines.md index cc63275f83..e22d9f4a32 100644 --- a/docs/source/03_tutorial/04_create_pipelines.md +++ b/docs/source/03_tutorial/04_create_pipelines.md @@ -85,8 +85,8 @@ def create_pipeline(**kwargs): """ pipeline = Pipeline( [ - node(preprocess_companies, "companies", "preprocessed_companies"), - node(preprocess_shuttles, "shuttles", "preprocessed_shuttles"), + node(preprocess_companies, "companies", "preprocessed_companies", name="preprocess1"), + node(preprocess_shuttles, "shuttles", "preprocessed_shuttles", name="preprocess2"), ] ) @@ -103,7 +103,23 @@ from kedro_tutorial.nodes.data_engineering import ( ) ``` -Now check if your pipeline is running without any errors by typing this in your terminal window: +As you develop your nodes, you can test too see if they work as expected. As an example, run the following command in your terminal window: + +```bash +kedro run --node=preprocess1 +``` + +You should see output similar to the below: + +```bash +2019-04-18 19:16:12,206 - root - INFO - ** Kedro project kedro-tutorial +2019-04-18 19:16:12,233 - kedro.io.data_catalog - INFO - Loading data from `companies` (CSVLocalDataSet)... +2019-04-18 19:16:12,365 - kedro.io.data_catalog - INFO - Saving data to `preprocessed_companies` (MemoryDataSet)... +2019-04-18 19:16:12,366 - kedro.runner.sequential_runner - INFO - Completed 1 out of 1 tasks +``` + + +Now check if the entire pipeline is running without any errors by typing this in your terminal window: ```bash kedro run diff --git a/docs/source/04_user_guide/05_nodes_and_pipelines.md b/docs/source/04_user_guide/05_nodes_and_pipelines.md index 5da0e137d2..e78365577a 100644 --- a/docs/source/04_user_guide/05_nodes_and_pipelines.md +++ b/docs/source/04_user_guide/05_nodes_and_pipelines.md @@ -516,6 +516,37 @@ kedro run --runner=ParallelRunner > *Note:* You cannot use both `--parallel` and `--runner` flags at the same time (e.g. `kedro run --parallel --runner=SequentialRunner` raises an exception). +Furthermore, you may opt to run only specific nodes by name. To illustrate this, you can update the first node's definition in `pipeline.py` as follows: + +```python +node( + split_data, + ["example_iris_data", "parameters"], + dict( + train_x="example_train_x", + train_y="example_train_y", + test_x="example_test_x", + test_y="example_test_y", + ), + name="node1", +), + +``` + +and then run the following command in your shell: + +```bash +kedro run --node=node1 +``` + +You may specify multiple names like so: + +```bash +kedro run --node=node1 --node=node2 +``` + +> *Note:* The run will only succeed if the nodes require existing inputs, i.e. already produced or present in the data catalog. + ### Applying decorators on pipelines You can apply decorators on whole pipelines, the same way you apply decorators on single nodes. For example, if you want to apply the decorators defined in the earlier section to all pipeline nodes simultaneously, you can do so as follows: diff --git a/kedro/context/context.py b/kedro/context/context.py index 35df41ac5c..40501665e9 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -226,15 +226,23 @@ def _create_catalog(self) -> DataCatalog: catalog.add_feed_dict(self._get_feed_dict()) return catalog - def run(self, tags: Iterable[str] = None, runner: AbstractRunner = None) -> None: + def run( + self, + tags: Iterable[str] = None, + runner: AbstractRunner = None, + node_names: Iterable[str] = None, + ) -> None: """Runs the pipeline with a specified runner. Args: tags: An optional list of node tags which should be used to filter the nodes of the ``Pipeline``. If specified, only the nodes - containing *any* of these tags will be added to the ``Pipeline``. + containing *any* of these tags will be run. runner: An optional parameter specifying the runner that you want to run the pipeline with. + node_names: An optional list of node names which should be used to + filter the nodes of the ``Pipeline``. If specified, only the nodes + with these names will be run. Raises: KedroContextError: If the resulting ``Pipeline`` is empty or incorrect tags are provided. @@ -244,7 +252,12 @@ def run(self, tags: Iterable[str] = None, runner: AbstractRunner = None) -> None logging.info("** Kedro project {}".format(self.project_path.name)) # Load the pipeline - pipeline = self.pipeline.only_nodes_with_tags(*tags) if tags else self.pipeline + pipeline = self.pipeline + if node_names: + pipeline = pipeline.only_nodes(*node_names) + if tags: + pipeline = pipeline.only_nodes_with_tags(*tags) + if not pipeline.nodes: msg = "Pipeline contains no nodes" if tags: diff --git a/kedro/pipeline/node.py b/kedro/pipeline/node.py index 2bb9a0c493..5a469cc601 100644 --- a/kedro/pipeline/node.py +++ b/kedro/pipeline/node.py @@ -572,7 +572,7 @@ def _node_error_message(msg) -> str: ).format(msg) -def node( # pylint: disable=W9016 +def node( # pylint: disable=missing-type-doc func: Callable, inputs: Union[None, str, List[str], Dict[str, str]], outputs: Union[None, str, List[str], Dict[str, str]], diff --git a/kedro/pipeline/pipeline.py b/kedro/pipeline/pipeline.py index e37b587bad..ffc92e08ac 100644 --- a/kedro/pipeline/pipeline.py +++ b/kedro/pipeline/pipeline.py @@ -78,7 +78,9 @@ class Pipeline: outputs and execution order. """ - def __init__(self, nodes: Iterable[Union[Node, "Pipeline"]], name: str = None): + def __init__( + self, nodes: Iterable[Union[Node, "Pipeline"]], *, name: str = None + ): # pylint: disable=missing-type-doc """Initialise ``Pipeline`` with a list of ``Node`` instances. Args: @@ -88,6 +90,7 @@ def __init__(self, nodes: Iterable[Union[Node, "Pipeline"]], name: str = None): new pipeline. name: The name of the pipeline. If specified, this name will be used to tag all of the nodes in the pipeline. + Raises: ValueError: When an empty list of nodes is provided, or when not all diff --git a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py index 99b62f4ba3..ac831e20cd 100755 --- a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py @@ -36,7 +36,6 @@ from collections import Counter from glob import iglob from pathlib import Path -from typing import Union import click from click import secho, style @@ -73,6 +72,8 @@ ENV_ARG_HELP = """Run the pipeline in a configured environment. If not specified, pipeline will run using environment `local`.""" +NODE_ARG_HELP = """Run only nodes with specified names.""" + PARALLEL_ARG_HELP = """Run the pipeline using the `ParallelRunner`. If not specified, use the `SequentialRunner`. This flag cannot be used together with --runner.""" @@ -99,13 +100,14 @@ def cli(): @cli.command() +@click.option("--node", "-n", "node_names", type=str, default=None, multiple=True, help=NODE_ARG_HELP) @click.option( "--runner", "-r", type=str, default=None, multiple=False, help=RUNNER_ARG_HELP ) @click.option("--parallel", "-p", is_flag=True, multiple=False, help=PARALLEL_ARG_HELP) @click.option("--env", "-e", type=str, default=None, multiple=False, help=ENV_ARG_HELP) @click.option("--tag", "-t", type=str, default=None, multiple=True, help=TAG_ARG_HELP) -def run(tag, env, parallel, runner): +def run(tag, env, parallel, runner, node_names): """Run the pipeline.""" from {{cookiecutter.python_package}}.run import main if parallel and runner: @@ -116,7 +118,7 @@ def run(tag, env, parallel, runner): if parallel: runner = "ParallelRunner" runner_class = load_obj(runner, "kedro.runner") if runner else SequentialRunner - main(tags=tag, env=env, runner=runner_class()) + main(tags=tag, env=env, runner=runner_class(), node_names=node_names) @forward_command(cli, forward_help=True) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py index 11afe37185..efaecfd5f7 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py @@ -82,23 +82,28 @@ def __kedro_context__(env: str = None, **kwargs) -> KedroContext: def main( - tags: Iterable[str] = None, env: str = None, runner: Type[AbstractRunner] = None + tags: Iterable[str] = None, + env: str = None, runner: Type[AbstractRunner] = None, + node_names: Iterable[str] = None, ): """Application main entry point. Args: tags: An optional list of node tags which should be used to filter the nodes of the ``Pipeline``. If specified, only the nodes - containing *any* of these tags will be added to the ``Pipeline``. + containing *any* of these tags will be run. env: An optional parameter specifying the environment in which the ``Pipeline`` should be run. If not specified defaults to "local". runner: An optional parameter specifying the runner that you want to run the pipeline with. + node_names: An optional list of node names which should be used to filter + the nodes of the ``Pipeline``. If specified, only the nodes with these + names will be run. """ context = __kedro_context__(env) - context.run(tags, runner) + context.run(tags, runner, node_names) if __name__ == "__main__": diff --git a/tests/context/test_context.py b/tests/context/test_context.py index 86b8df43ef..9feb831ccb 100644 --- a/tests/context/test_context.py +++ b/tests/context/test_context.py @@ -176,7 +176,8 @@ def pipeline(self) -> Pipeline: [ node(identity, "cars", "boats", name="node1", tags=["tag1"]), node(identity, "boats", "trains", name="node2"), - ] + ], + name="pipeline", ) @@ -291,6 +292,24 @@ def test_parallel_run_arg(self, dummy_context, dummy_dataframe, caplog): assert "kedro.runner.parallel_runner" in log_names assert "Pipeline execution completed successfully." in log_msgs + def test_run_with_node_names(self, dummy_context, dummy_dataframe, caplog): + dummy_context.catalog.save("cars", dummy_dataframe) + dummy_context.run(node_names=["node1"]) + + log_msgs = [record.getMessage() for record in caplog.records] + assert "Running node: node1: identity([cars]) -> [boats]" in log_msgs + assert "Pipeline execution completed successfully." in log_msgs + assert "Running node: node2: identity([boats]) -> [trains]" not in log_msgs + + def test_run_with_node_names_and_tags(self, dummy_context, dummy_dataframe, caplog): + dummy_context.catalog.save("cars", dummy_dataframe) + dummy_context.run(node_names=["node1"], tags=["tag1", "pipeline"]) + + log_msgs = [record.getMessage() for record in caplog.records] + assert "Running node: node1: identity([cars]) -> [boats]" in log_msgs + assert "Pipeline execution completed successfully." in log_msgs + assert "Running node: node2: identity([boats]) -> [trains]" not in log_msgs + def test_run_with_tags(self, dummy_context, dummy_dataframe, caplog): dummy_context.catalog.save("cars", dummy_dataframe) dummy_context.run(tags=["tag1"]) From 9733fc6a4abea9305c62d9a11836235c394886b4 Mon Sep 17 00:00:00 2001 From: Deepyaman Datta Date: Tue, 23 Jul 2019 05:43:07 -0400 Subject: [PATCH 37/83] Modularize default load and save argument handling (#15) --- kedro/contrib/io/__init__.py | 2 + kedro/contrib/io/azure/csv_blob.py | 11 ++-- .../io/bioinformatics/sequence_dataset.py | 16 ++---- kedro/contrib/io/core.py | 53 +++++++++++++++++++ kedro/contrib/io/pyspark/spark_data_set.py | 6 +-- kedro/contrib/io/pyspark/spark_jdbc.py | 6 +-- kedro/io/csv_local.py | 24 ++++----- kedro/io/csv_s3.py | 21 +++++--- kedro/io/excel_local.py | 25 +++++---- kedro/io/hdf_local.py | 24 ++++----- kedro/io/hdf_s3.py | 31 ++++++----- kedro/io/json_local.py | 24 ++++----- kedro/io/parquet_local.py | 25 +++++---- kedro/io/pickle_local.py | 24 ++++----- kedro/io/pickle_s3.py | 27 +++++----- kedro/io/sql.py | 24 ++++----- kedro/io/text_local.py | 23 ++++---- tests/io/test_hdf_local.py | 17 ++++++ tests/io/test_hdf_s3.py | 20 +++++++ tests/io/test_json_local.py | 10 ++++ tests/io/test_pickle_local.py | 15 ++++++ tests/io/test_pickle_s3.py | 25 +++++++++ tests/io/test_text_local.py | 22 ++++++++ 23 files changed, 314 insertions(+), 161 deletions(-) create mode 100644 kedro/contrib/io/core.py diff --git a/kedro/contrib/io/__init__.py b/kedro/contrib/io/__init__.py index 2aa315c599..d26777acd5 100644 --- a/kedro/contrib/io/__init__.py +++ b/kedro/contrib/io/__init__.py @@ -31,3 +31,5 @@ `kedro.io` module (e.g. additional ``AbstractDataSet``s and extensions/alternative ``DataCatalog``s. """ + +from .core import DefaultArgumentsMixIn # NOQA diff --git a/kedro/contrib/io/azure/csv_blob.py b/kedro/contrib/io/azure/csv_blob.py index 0c143379e3..c84c313d45 100644 --- a/kedro/contrib/io/azure/csv_blob.py +++ b/kedro/contrib/io/azure/csv_blob.py @@ -35,10 +35,11 @@ import pandas as pd from azure.storage.blob import BlockBlobService +from kedro.contrib.io import DefaultArgumentsMixIn from kedro.io import AbstractDataSet -class CSVBlobDataSet(AbstractDataSet): +class CSVBlobDataSet(DefaultArgumentsMixIn, AbstractDataSet): """``CSVBlobDataSet`` loads and saves csv files in Microsoft's Azure blob storage. It uses azure storage SDK to read and write in azure and pandas to handle the csv file locally. @@ -61,6 +62,8 @@ class CSVBlobDataSet(AbstractDataSet): >>> assert data.equals(reloaded) """ + DEFAULT_SAVE_ARGS = {"index": False} + def _describe(self) -> Dict[str, Any]: return dict( filepath=self._filepath, @@ -106,16 +109,12 @@ def __init__( All defaults are preserved, but "index", which is set to False. """ - default_save_args = {"index": False} - self._save_args = ( - {**default_save_args, **save_args} if save_args else default_save_args - ) - self._load_args = load_args if load_args else {} self._filepath = filepath self._container_name = container_name self._credentials = credentials if credentials else {} self._blob_to_text_args = blob_to_text_args if blob_to_text_args else {} self._blob_from_text_args = blob_from_text_args if blob_from_text_args else {} + super().__init__(load_args, save_args) def _load(self) -> pd.DataFrame: blob_service = BlockBlobService(**self._credentials) diff --git a/kedro/contrib/io/bioinformatics/sequence_dataset.py b/kedro/contrib/io/bioinformatics/sequence_dataset.py index 3769ef0086..7acf777578 100644 --- a/kedro/contrib/io/bioinformatics/sequence_dataset.py +++ b/kedro/contrib/io/bioinformatics/sequence_dataset.py @@ -35,10 +35,11 @@ from Bio import SeqIO +from kedro.contrib.io import DefaultArgumentsMixIn from kedro.io import AbstractDataSet -class BioSequenceLocalDataSet(AbstractDataSet): +class BioSequenceLocalDataSet(DefaultArgumentsMixIn, AbstractDataSet): """``BioSequenceLocalDataSet`` loads and saves data to a sequence file. Example: @@ -95,18 +96,7 @@ def __init__( """ self._filepath = filepath - default_load_args = {} # type: Dict[str, Any] - default_save_args = {} # type: Dict[str, Any] - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_save_args, **save_args} - if save_args is not None - else default_save_args - ) + super().__init__(load_args, save_args) def _load(self) -> List: return list(SeqIO.parse(self._filepath, **self._load_args)) diff --git a/kedro/contrib/io/core.py b/kedro/contrib/io/core.py new file mode 100644 index 0000000000..c963db4a2f --- /dev/null +++ b/kedro/contrib/io/core.py @@ -0,0 +1,53 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""This module extends the set of classes ``kedro.io.core`` provides.""" + +import copy +from typing import Any, Dict, Optional + + +# pylint: disable=too-few-public-methods +class DefaultArgumentsMixIn: + """Mixin class that helps handle default load and save arguments.""" + + DEFAULT_LOAD_ARGS = {} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {} # type: Dict[str, Any] + + def __init__( + self, + load_args: Optional[Dict[str, Any]] = None, + save_args: Optional[Dict[str, Any]] = None, + ) -> None: + super().__init__() + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) diff --git a/kedro/contrib/io/pyspark/spark_data_set.py b/kedro/contrib/io/pyspark/spark_data_set.py index 18e6d64602..7594bf5297 100644 --- a/kedro/contrib/io/pyspark/spark_data_set.py +++ b/kedro/contrib/io/pyspark/spark_data_set.py @@ -36,10 +36,11 @@ from pyspark.sql import DataFrame, SparkSession from pyspark.sql.utils import AnalysisException +from kedro.contrib.io import DefaultArgumentsMixIn from kedro.io import AbstractDataSet -class SparkDataSet(AbstractDataSet): +class SparkDataSet(DefaultArgumentsMixIn, AbstractDataSet): """``SparkDataSet`` loads and saves Spark data frames. Example: @@ -106,8 +107,7 @@ def __init__( self._filepath = filepath self._file_format = file_format - self._load_args = load_args if load_args is not None else {} - self._save_args = save_args if save_args is not None else {} + super().__init__(load_args, save_args) @staticmethod def _get_spark(): diff --git a/kedro/contrib/io/pyspark/spark_jdbc.py b/kedro/contrib/io/pyspark/spark_jdbc.py index 206e5f87a4..762e7ad73c 100644 --- a/kedro/contrib/io/pyspark/spark_jdbc.py +++ b/kedro/contrib/io/pyspark/spark_jdbc.py @@ -31,12 +31,13 @@ from pyspark.sql import DataFrame, SparkSession +from kedro.contrib.io import DefaultArgumentsMixIn from kedro.io import AbstractDataSet, DataSetError __all__ = ["SparkJDBCDataSet"] -class SparkJDBCDataSet(AbstractDataSet): +class SparkJDBCDataSet(DefaultArgumentsMixIn, AbstractDataSet): """``SparkJDBCDataSet`` loads data from a database table accessible via JDBC URL url and connection properties and saves the content of a PySpark DataFrame to an external database table via JDBC. It uses @@ -140,8 +141,7 @@ def __init__( self._url = url self._table = table - self._load_args = load_args if load_args is not None else {} - self._save_args = save_args if save_args is not None else {} + super().__init__(load_args, save_args) # Update properties in load_args and save_args with credentials. if credentials is not None: diff --git a/kedro/io/csv_local.py b/kedro/io/csv_local.py index 96b8cc94ab..17ad9bee94 100644 --- a/kedro/io/csv_local.py +++ b/kedro/io/csv_local.py @@ -30,6 +30,7 @@ underlying functionality is supported by pandas, so it supports all allowed pandas options for loading and saving csv files. """ +import copy from pathlib import Path from typing import Any, Dict @@ -61,6 +62,9 @@ class CSVLocalDataSet(AbstractVersionedDataSet): """ + DEFAULT_LOAD_ARGS = {} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {"index": False} # type: Dict[str, Any] + def __init__( self, filepath: str, @@ -87,18 +91,14 @@ def __init__( attribute is None, save version will be autogenerated. """ super().__init__(Path(filepath), version) - default_save_args = {"index": False} # type: Dict[str, Any] - default_load_args = {} # type: Dict[str, Any] - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_save_args, **save_args} - if save_args is not None - else default_save_args - ) + + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) def _load(self) -> pd.DataFrame: load_path = Path(self._get_load_path()) diff --git a/kedro/io/csv_s3.py b/kedro/io/csv_s3.py index 932a18a680..a96ee95892 100644 --- a/kedro/io/csv_s3.py +++ b/kedro/io/csv_s3.py @@ -29,7 +29,7 @@ """``CSVS3DataSet`` loads and saves data to a file in S3. It uses s3fs to read and write from S3 and pandas to handle the csv file. """ -from copy import deepcopy +import copy from pathlib import PurePosixPath from typing import Any, Dict, Optional @@ -62,6 +62,9 @@ class CSVS3DataSet(AbstractVersionedDataSet): >>> assert data.equals(reloaded) """ + DEFAULT_LOAD_ARGS = {} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {"index": False} # type: Dict[str, Any] + # pylint: disable=too-many-arguments def __init__( self, @@ -94,7 +97,7 @@ def __init__( attribute is None, save version will be autogenerated. """ - _credentials = deepcopy(credentials) or {} + _credentials = copy.deepcopy(credentials) or {} _s3 = S3FileSystem(client_kwargs=_credentials) super().__init__( PurePosixPath("{}/{}".format(bucket_name, filepath)), @@ -102,13 +105,17 @@ def __init__( exists_function=_s3.exists, glob_function=_s3.glob, ) - default_save_args = {"index": False} - self._save_args = ( - {**default_save_args, **save_args} if save_args else default_save_args - ) - self._load_args = load_args if load_args else {} self._bucket_name = bucket_name self._credentials = _credentials + + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) + self._s3 = _s3 def _describe(self) -> Dict[str, Any]: diff --git a/kedro/io/excel_local.py b/kedro/io/excel_local.py index 16618b97f2..0db201c992 100644 --- a/kedro/io/excel_local.py +++ b/kedro/io/excel_local.py @@ -30,6 +30,7 @@ underlying functionality is supported by pandas, so it supports all allowed pandas options for loading and saving Excel files. """ +import copy from pathlib import Path from typing import Any, Dict, Union @@ -61,6 +62,9 @@ class ExcelLocalDataSet(AbstractVersionedDataSet): """ + DEFAULT_LOAD_ARGS = {"engine": "xlrd"} + DEFAULT_SAVE_ARGS = {"index": False} + def _describe(self) -> Dict[str, Any]: return dict( filepath=self._filepath, @@ -105,21 +109,16 @@ def __init__( """ super().__init__(Path(filepath), version) - default_save_args = {"index": False} - default_load_args = {"engine": "xlrd"} - - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_save_args, **save_args} - if save_args is not None - else default_save_args - ) self._engine = engine + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) + def _load(self) -> Union[pd.DataFrame, Dict[str, pd.DataFrame]]: load_path = Path(self._get_load_path()) return pd.read_excel(load_path, **self._load_args) diff --git a/kedro/io/hdf_local.py b/kedro/io/hdf_local.py index fc2372ba1a..cb80fe5786 100644 --- a/kedro/io/hdf_local.py +++ b/kedro/io/hdf_local.py @@ -30,6 +30,7 @@ underlying functionality is supported by pandas, so it supports all allowed pandas options for loading and saving hdf files. """ +import copy from pathlib import Path from typing import Any, Dict @@ -63,6 +64,9 @@ class HDFLocalDataSet(AbstractVersionedDataSet): """ + DEFAULT_LOAD_ARGS = {} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {} # type: Dict[str, Any] + # pylint: disable=too-many-arguments def __init__( self, @@ -93,19 +97,15 @@ def __init__( """ super().__init__(Path(filepath), version) - default_load_args = {} # type: Dict[str, Any] - default_save_args = {} # type: Dict[str, Any] self._key = key - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_load_args, **save_args} - if save_args is not None - else default_save_args - ) + + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) def _load(self) -> pd.DataFrame: load_path = Path(self._get_load_path()) diff --git a/kedro/io/hdf_s3.py b/kedro/io/hdf_s3.py index 90163dc382..1525ccfe2c 100644 --- a/kedro/io/hdf_s3.py +++ b/kedro/io/hdf_s3.py @@ -30,7 +30,7 @@ underlying functionality is supported by pandas HDFStore and PyTables, so it supports all allowed PyTables options for loading and saving hdf files. """ -from copy import deepcopy +import copy from pathlib import PurePosixPath from typing import Any, Dict, Optional @@ -68,6 +68,9 @@ class HDFS3DataSet(AbstractVersionedDataSet): """ + DEFAULT_LOAD_ARGS = {} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {} # type: Dict[str, Any] + # pylint: disable=too-many-arguments def __init__( self, @@ -102,7 +105,7 @@ def __init__( attribute is None, save version will be autogenerated. """ - _credentials = deepcopy(credentials) or {} + _credentials = copy.deepcopy(credentials) or {} _s3 = S3FileSystem(client_kwargs=_credentials) super().__init__( PurePosixPath("{}/{}".format(bucket_name, filepath)), @@ -110,22 +113,18 @@ def __init__( exists_function=_s3.exists, glob_function=_s3.glob, ) - - default_load_args = {} # type: Dict[str, Any] - default_save_args = {} # type: Dict[str, Any] - self._key = key self._bucket_name = bucket_name + self._key = key self._credentials = _credentials - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_load_args, **save_args} - if save_args is not None - else default_save_args - ) + + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) + self._s3 = _s3 def _describe(self) -> Dict[str, Any]: diff --git a/kedro/io/json_local.py b/kedro/io/json_local.py index fd1c35c138..e6e359d94a 100644 --- a/kedro/io/json_local.py +++ b/kedro/io/json_local.py @@ -29,6 +29,7 @@ """``JSONLocalDataSet`` encodes a given object to json and saves it to a local file. """ +import copy import json from pathlib import Path from typing import Any, Dict @@ -58,6 +59,9 @@ class JSONLocalDataSet(AbstractVersionedDataSet): """ + DEFAULT_LOAD_ARGS = {} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {"indent": 4} # type: Dict[str, Any] + def __init__( self, filepath: str, @@ -83,18 +87,14 @@ def __init__( """ super().__init__(Path(filepath), version) - default_save_args = {"indent": 4} # type: Dict[str, Any] - default_load_args = {} # type: Dict[str, Any] - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_save_args, **save_args} - if save_args is not None - else default_save_args - ) + + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) def _describe(self) -> Dict[str, Any]: return dict( diff --git a/kedro/io/parquet_local.py b/kedro/io/parquet_local.py index 0375ada3b7..1ef3ecf86c 100644 --- a/kedro/io/parquet_local.py +++ b/kedro/io/parquet_local.py @@ -36,6 +36,7 @@ https://arrow.apache.org/docs/python/index.html """ +import copy from pathlib import Path from typing import Any, Dict @@ -61,6 +62,9 @@ class ParquetLocalDataSet(AbstractVersionedDataSet): >>> assert data.equals(loaded_data) """ + DEFAULT_LOAD_ARGS = {} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {"compression": None} # type: Dict[str, Any] + # pylint: disable=too-many-arguments def __init__( self, @@ -99,20 +103,15 @@ def __init__( """ super().__init__(Path(filepath), version) - default_save_args = {"compression": None} # type: Dict[str, Any] - default_load_args = {} # type: Dict[str, Any] - self._engine = engine - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_save_args, **save_args} - if save_args is not None - else default_save_args - ) + + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) def _describe(self) -> Dict[str, Any]: return dict( diff --git a/kedro/io/pickle_local.py b/kedro/io/pickle_local.py index f9d5880da0..d7ada37e93 100644 --- a/kedro/io/pickle_local.py +++ b/kedro/io/pickle_local.py @@ -32,6 +32,7 @@ all allowed options for loading and saving pickle files. """ +import copy import pickle from pathlib import Path from typing import Any, Dict @@ -67,6 +68,9 @@ class PickleLocalDataSet(AbstractVersionedDataSet): >>> reloaded = data_set.load() """ + DEFAULT_LOAD_ARGS = {} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {} # type: Dict[str, Any] + BACKENDS = {"pickle": pickle, "joblib": joblib} # pylint: disable=too-many-arguments @@ -114,8 +118,6 @@ def __init__( """ super().__init__(Path(filepath), version) - default_save_args = {} # type: Dict[str, Any] - default_load_args = {} # type: Dict[str, Any] if backend not in ["pickle", "joblib"]: raise ValueError( @@ -128,16 +130,14 @@ def __init__( ) self._backend = backend - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_save_args, **save_args} - if save_args is not None - else default_save_args - ) + + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) def _load(self) -> Any: load_path = Path(self._get_load_path()) diff --git a/kedro/io/pickle_s3.py b/kedro/io/pickle_s3.py index 5fbb41af9a..f18c043ce7 100644 --- a/kedro/io/pickle_s3.py +++ b/kedro/io/pickle_s3.py @@ -30,6 +30,7 @@ The underlying functionality is supported by the ``pickle`` library, so it supports all allowed options for loading and saving pickle files. """ +import copy import pickle from copy import deepcopy from pathlib import PurePosixPath @@ -63,6 +64,9 @@ class PickleS3DataSet(AbstractVersionedDataSet): >>> reloaded = data_set.load() """ + DEFAULT_LOAD_ARGS = {} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {} # type: Dict[str, Any] + # pylint: disable=too-many-arguments def __init__( self, @@ -105,22 +109,17 @@ def __init__( exists_function=_s3.exists, glob_function=_s3.glob, ) - - default_load_args = {} # type: Dict[str, Any] - default_save_args = {} # type: Dict[str, Any] - self._bucket_name = bucket_name self._credentials = _credentials - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_save_args, **save_args} - if save_args is not None - else default_save_args - ) + + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) + self._s3 = _s3 def _describe(self) -> Dict[str, Any]: diff --git a/kedro/io/sql.py b/kedro/io/sql.py index 20d402ea3e..b4f8e0fc1a 100644 --- a/kedro/io/sql.py +++ b/kedro/io/sql.py @@ -27,6 +27,7 @@ # limitations under the License. """``SQLDataSet`` to load and save data to a SQL backend.""" +import copy import re from typing import Any, Dict, Optional @@ -139,6 +140,9 @@ class SQLTableDataSet(AbstractDataSet): """ + DEFAULT_LOAD_ARGS = {} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {"index": False} # type: Dict[str, Any] + def _describe(self) -> Dict[str, Any]: load_args = self._load_args.copy() save_args = self._save_args.copy() @@ -193,19 +197,13 @@ def __init__( "provide a SQLAlchemy connection string." ) - default_save_args = {"index": False} # type: Dict[str, Any] - default_load_args = {} # type: Dict[str, Any] - - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_save_args, **save_args} - if save_args is not None - else default_save_args - ) + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) self._load_args["table_name"] = table_name self._save_args["name"] = table_name diff --git a/kedro/io/text_local.py b/kedro/io/text_local.py index 7b95e0d28e..483fbcd01e 100644 --- a/kedro/io/text_local.py +++ b/kedro/io/text_local.py @@ -28,6 +28,7 @@ """``TextLocalDataSet`` loads and saves data to a local text file. The data is accessed text data using the python open function. """ +import copy import os from pathlib import Path from typing import Any, Dict @@ -50,6 +51,9 @@ class TextLocalDataSet(AbstractVersionedDataSet): >>> reloaded = data_set.load() """ + DEFAULT_LOAD_ARGS = {"mode": "r"} # type: Dict[str, Any] + DEFAULT_SAVE_ARGS = {"mode": "w"} # type: Dict[str, Any] + def __init__( self, filepath: str, @@ -73,19 +77,14 @@ def __init__( attribute is None, save version will be autogenerated. """ super().__init__(Path(os.path.expanduser(filepath)), version) - default_save_args = {"mode": "w"} # type: Dict[str, Any] - default_load_args = {"mode": "r"} # type: Dict[str, Any] - self._load_args = ( - {**default_load_args, **load_args} - if load_args is not None - else default_load_args - ) - self._save_args = ( - {**default_save_args, **save_args} - if save_args is not None - else default_save_args - ) + # Handle default load and save arguments + self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) + if load_args is not None: + self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) + if save_args is not None: + self._save_args.update(save_args) def _load(self) -> str: load_path = Path(self._get_load_path()) diff --git a/tests/io/test_hdf_local.py b/tests/io/test_hdf_local.py index e5659d79fe..c00a60f75c 100644 --- a/tests/io/test_hdf_local.py +++ b/tests/io/test_hdf_local.py @@ -43,6 +43,16 @@ def hdf_data_set(filepath_hdf): return HDFLocalDataSet(filepath=filepath_hdf, key="test_hdf") +@pytest.fixture +def hdf_data_set_with_args(filepath_hdf): + return HDFLocalDataSet( + filepath=filepath_hdf, + key="test_hdf", + load_args={"errors": "ignore"}, + save_args={"errors": "ignore"}, + ) + + @pytest.fixture def versioned_hdf_data_set(filepath_hdf, load_version, save_version): return HDFLocalDataSet( @@ -88,6 +98,13 @@ def test_overwrite_if_exists(self, hdf_data_set, dummy_dataframe): reloaded_df = hdf_data_set.load() assert_frame_equal(reloaded_df, dummy_dataframe.T) + def test_save_and_load_args(self, hdf_data_set_with_args, dummy_dataframe): + """Test saving and reloading the data set.""" + hdf_data_set_with_args.save(dummy_dataframe) + reloaded_df = hdf_data_set_with_args.load() + + assert_frame_equal(reloaded_df, dummy_dataframe) + class TestHDFLocalDataSetVersioned: def test_save_and_load(self, versioned_hdf_data_set, dummy_dataframe): diff --git a/tests/io/test_hdf_s3.py b/tests/io/test_hdf_s3.py index fbaf27e25e..512fd7049f 100644 --- a/tests/io/test_hdf_s3.py +++ b/tests/io/test_hdf_s3.py @@ -71,6 +71,18 @@ def mocked_s3_object(mocked_s3_bucket, dummy_dataframe): return mocked_s3_bucket +@pytest.fixture +def hdf_data_set_with_args(): + return HDFS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + credentials=AWS_CREDENTIALS, + key="test_hdf", + load_args={"title": "test_hdf"}, + save_args={"title": "test_hdf"}, + ) + + @pytest.fixture def versioned_hdf_data_set(load_version, save_version): return HDFS3DataSet( @@ -167,6 +179,14 @@ def test_overwrite_if_exists(self, hdf_data_set, dummy_dataframe): reloaded_df = hdf_data_set.load() assert_frame_equal(reloaded_df, dummy_dataframe.T) + @pytest.mark.usefixtures("mocked_s3_object") + def test_save_and_load_args(self, hdf_data_set_with_args, dummy_dataframe): + """Test saving and reloading the data set.""" + hdf_data_set_with_args.save(dummy_dataframe) + reloaded_df = hdf_data_set_with_args.load() + + assert_frame_equal(reloaded_df, dummy_dataframe) + def test_serializable(self, hdf_data_set): ForkingPickler.dumps(hdf_data_set) diff --git a/tests/io/test_json_local.py b/tests/io/test_json_local.py index 99acbf9ded..0161abdc15 100644 --- a/tests/io/test_json_local.py +++ b/tests/io/test_json_local.py @@ -45,6 +45,11 @@ def json_data_set(filepath_json): return JSONLocalDataSet(filepath=filepath_json) +@pytest.fixture +def json_data_set_with_load_args(filepath_json): + return JSONLocalDataSet(filepath=filepath_json, load_args={"parse_float": Decimal}) + + @pytest.fixture def versioned_json_data_set(filepath_json, load_version, save_version): return JSONLocalDataSet( @@ -92,6 +97,11 @@ def test_exists(self, json_data_set, json_data): json_data_set.save(json_data) assert json_data_set.exists() + def test_load_args(self, json_data_set_with_load_args): + """Test reloading the data set with load arguments specified.""" + json_data_set_with_load_args.save([1.1]) + assert json_data_set_with_load_args.load() == [Decimal("1.1")] + def test_allow_nan(self, json_data_set, filepath_json): """Strict JSON specification does not allow out of range float values, however the python implementation accepts them by default. Test both diff --git a/tests/io/test_pickle_local.py b/tests/io/test_pickle_local.py index 4b48519577..b1b063c450 100644 --- a/tests/io/test_pickle_local.py +++ b/tests/io/test_pickle_local.py @@ -45,6 +45,15 @@ def pickle_data_set(filepath_pkl, request): return PickleLocalDataSet(filepath=filepath_pkl, backend=request.param) +@pytest.fixture +def pickle_data_set_with_args(filepath_pkl): + return PickleLocalDataSet( + filepath=filepath_pkl, + load_args={"fix_imports": False}, + save_args={"fix_imports": False}, + ) + + @pytest.fixture def versioned_pickle_data_set(filepath_pkl, load_version, save_version): return PickleLocalDataSet( @@ -97,6 +106,12 @@ def test_joblib_not_installed(self, filepath_pkl, mocker): with pytest.raises(ImportError, match=pattern): PickleLocalDataSet(filepath=filepath_pkl, backend="joblib") + def test_save_and_load_args(self, pickle_data_set_with_args, dummy_dataframe): + """Test saving and reloading the data with different options.""" + pickle_data_set_with_args.save(dummy_dataframe) + reloaded_df = pickle_data_set_with_args.load() + assert_frame_equal(reloaded_df, dummy_dataframe) + class TestPickleLocalDataSetVersioned: def test_save_and_load(self, versioned_pickle_data_set, dummy_dataframe): diff --git a/tests/io/test_pickle_s3.py b/tests/io/test_pickle_s3.py index 56202ff6ee..3f210eb6df 100644 --- a/tests/io/test_pickle_s3.py +++ b/tests/io/test_pickle_s3.py @@ -53,6 +53,17 @@ def s3_data_set(): ) +@pytest.fixture +def s3_data_set_with_args(): + return PickleS3DataSet( + filepath=FILENAME, + bucket_name=BUCKET_NAME, + credentials=AWS_CREDENTIALS, + load_args={"fix_imports": False}, + save_args={"fix_imports": False}, + ) + + @pytest.fixture def versioned_s3_data_set(load_version, save_version): return PickleS3DataSet( @@ -107,6 +118,12 @@ def test_load(self, s3_data_set): loaded_data = s3_data_set.load() assert loaded_data == DUMMY_PICKABLE_OBJECT + @pytest.mark.usefixtures("mocked_s3_object") + def test_load_args(self, s3_data_set_with_args): + """Test loading the data from S3 with options.""" + loaded_data = s3_data_set_with_args.load() + assert loaded_data == DUMMY_PICKABLE_OBJECT + @pytest.mark.parametrize( "bad_credentials", [{"aws_secret_access_key": "SECRET"}, {"aws_access_key_id": "KEY"}], @@ -165,6 +182,14 @@ def test_save(self, s3_data_set): loaded_data = s3_data_set.load() assert loaded_data == new_data + @pytest.mark.usefixtures("mocked_s3_object") + def test_save_args(self, s3_data_set_with_args): + """Test saving the data to S3 with options.""" + new_data = {"x": "y"} + s3_data_set_with_args.save(new_data) + loaded_data = s3_data_set_with_args.load() + assert loaded_data == new_data + def test_serializable(self, s3_data_set): ForkingPickler.dumps(s3_data_set) diff --git a/tests/io/test_text_local.py b/tests/io/test_text_local.py index 0911248cc2..27564ce7fa 100644 --- a/tests/io/test_text_local.py +++ b/tests/io/test_text_local.py @@ -45,6 +45,16 @@ def txt_data_set(filepath_txt, request): return TextLocalDataSet(filepath=filepath_txt, **request.param) +@pytest.fixture(params=[dict()]) +def txt_data_set_with_args(filepath_txt, request): + return TextLocalDataSet( + filepath=filepath_txt, + load_args={"errors": "ignore"}, + save_args={"errors": "ignore"}, + **request.param + ) + + @pytest.fixture def versioned_txt_data_set(filepath_txt, load_version, save_version): return TextLocalDataSet( @@ -67,6 +77,12 @@ def test_should_write_to_file(self, txt_data_set, sample_text, filepath_txt): txt_data_set.save(sample_text) assert Path(filepath_txt).read_text("utf-8") == sample_text + def test_should_write_to_file_with_args( + self, txt_data_set_with_args, sample_text, filepath_txt + ): + txt_data_set_with_args.save(sample_text) + assert Path(filepath_txt).read_text("utf-8") == sample_text + def test_load_missing_txt_file(self, txt_data_set): """Check the error raised when trying to load nonexistent txt file.""" pattern = r"Failed while loading data from data set TextLocalDataSet" @@ -77,6 +93,12 @@ def test_should_read_from_file(self, txt_data_set, sample_text, filepath_txt): traditional_write(filepath_txt, sample_text) assert sample_text == txt_data_set.load() + def test_should_read_from_file_with_args( + self, txt_data_set_with_args, sample_text, filepath_txt + ): + traditional_write(filepath_txt, sample_text) + assert sample_text == txt_data_set_with_args.load() + def test_assess_if_file_exists(self, txt_data_set, sample_text, filepath_txt): assert not txt_data_set.exists() traditional_write(filepath_txt, sample_text) From 95a0239f00d126853d86e91fdc3032587c25e59b Mon Sep 17 00:00:00 2001 From: Yetunde Dada <43755008+yetudada@users.noreply.github.com> Date: Tue, 23 Jul 2019 09:01:48 -0400 Subject: [PATCH 38/83] [KED-828] Add in Databricks Workflow information (#91) * Add in Databricks Workflow information --- .../11_working_with_databricks.md | 77 +++++++++++++++++++ docs/source/05_api_docs/index.rst | 1 + 2 files changed, 78 insertions(+) create mode 100644 docs/source/04_user_guide/11_working_with_databricks.md diff --git a/docs/source/04_user_guide/11_working_with_databricks.md b/docs/source/04_user_guide/11_working_with_databricks.md new file mode 100644 index 0000000000..6d774f05a4 --- /dev/null +++ b/docs/source/04_user_guide/11_working_with_databricks.md @@ -0,0 +1,77 @@ +# Working with Databricks + +> *Note:* This documentation is based on `Kedro 0.15.0`, if you spot anything that is incorrect then please create an [issue](https://github.com/quantumblacklabs/kedro/issues) or pull request. + +## Databricks Connect (recommended) +We recommend using [Databricks Connect](https://pypi.org/project/databricks-connect/) to easily execute your Kedro pipeline on a Databricks cluster. + +Databricks Connect connects your favourite IDE (IntelliJ, Eclipse, [VS Code](01_setting_up_vscode.md) and [PyCharm](02_setting_up_pycharm.md)), notebook server (Zeppelin, Jupyter), and other custom applications to Databricks clusters to run Spark code. + +You can setup Databricks Connect according to the instructions listed [here](https://docs.databricks.com/user-guide/dev-tools/db-connect.html). + +> *Note:* You will need to uninstall PySpark, as Databricks Connect will install it for you. This method only works for 5.x versions of Databricks clusters and disables use of Databricks Notebook. + +## GitHub workflow with Databricks + +This workflow posits that development of the Kedro project is done on a +local environment under version control by Git. Commits are pushed to a remote +server (e.g. GitHub, GitLab, Bitbucket, etc.). + +Deployment of the (latest) code on the Databricks driver is accomplished +through `cloning` and the periodic `pulling` of changes from the Git remote. +The pipeline is then executed on the Databricks cluster. + +While this example uses GitHub Personal Access Tokens (or equivalents for +Bitbucket, GitLab, etc.) you should be able to use your GitHub password as well (although this is less secure). + +Firstly, you will need to generate a [GitHub Personal Access +Token](https://help.github.com/en/articles/creating-a-personal-access-token-for-the-command-line) +with the relevant privileges. + +Add your username and token to the environment variables of your running Databricks environment (all the following commands should be run inside a Notebook): + +```python +import os +os.environ["GITHUB_USER"] = "YOUR_USERNAME" +os.environ["GITHUB_TOKEN"] = "YOUR_TOKEN" +``` + +Then clone your project to a directory of your choosing: + +```sh +%sh mkdir -vp ~/projects/ && cd ~/projects/ && +git clone https://${GITHUB_USER}:${GITHUB_TOKEN}@github.com/**/your_project.git +``` + +And, `cd` into your project directory: +```bash +cd ~/projects/your_project +``` + +You'll need to add the `src` directory to path using: + +```python +import sys +import os.path + +sys.path.append(os.path.abspath("./src") +``` + +Then, import and execute the `run` module to run your pipeline: +```python +import your_project.run as run +run.main() +``` + +To pull in updates to your code run from your project directory: +```bash +%sh git pull +``` + +Detach and re-attach your Notebook or re-import the run module for changes +to be picked up: + +```python +import importlib +run = importlib.reload(run) +``` diff --git a/docs/source/05_api_docs/index.rst b/docs/source/05_api_docs/index.rst index d2c148d55e..3102ad5868 100644 --- a/docs/source/05_api_docs/index.rst +++ b/docs/source/05_api_docs/index.rst @@ -85,6 +85,7 @@ Welcome to Kedro's API docs and tutorials! 04_user_guide/08_pyspark 04_user_guide/09_developing_plugins 04_user_guide/10_ipython + 04_user_guide/11_working_with_databricks .. toctree:: :maxdepth: 2 From 5d88c925fbb22ccd2103b4a6d9a2850f3c832731 Mon Sep 17 00:00:00 2001 From: Anton Kirilenko Date: Wed, 24 Jul 2019 13:34:15 +0100 Subject: [PATCH 39/83] [KED-899] Forbid remote URLs in CSVLocalDataSet (#152) --- .gitignore | 1 + RELEASE.md | 1 + kedro/io/core.py | 14 +++++++++++++- kedro/io/csv_local.py | 18 +++++++++++++++++- tests/io/test_csv_local.py | 16 ++++++++++++++++ 5 files changed, 48 insertions(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index 5d312146d1..91e6ea68e5 100644 --- a/.gitignore +++ b/.gitignore @@ -119,6 +119,7 @@ venv/ ENV/ env.bak/ venv.bak/ +.cenv # Spyder project settings .spyderproject diff --git a/RELEASE.md b/RELEASE.md index e6690cc601..c4cc9cabd4 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -16,6 +16,7 @@ * Simplified the Kedro template in `run.py` with the introduction of `KedroContext` class. * Merged `FilepathVersionMixIn` and `S3VersionMixIn` under one abstract class `AbstractVersionedDataSet` which extends`AbstractDataSet`. * `name` changed to be a keyword-only argument for `Pipeline`. +* `CSVLocalDataSet` no longer supports URLs. #### Migration guide from Kedro 0.14.* to Kedro 0.15.0 ##### Migration for Kedro project template diff --git a/kedro/io/core.py b/kedro/io/core.py index 8ff8ad02be..029bb87da2 100644 --- a/kedro/io/core.py +++ b/kedro/io/core.py @@ -33,11 +33,13 @@ import abc import copy import logging +import os from collections import namedtuple from datetime import datetime, timezone from glob import iglob from pathlib import Path, PurePath from typing import Any, Callable, Dict, List, Optional, Type +from urllib.parse import urlparse from warnings import warn from kedro.utils import load_obj @@ -314,7 +316,7 @@ def exists(self) -> bool: def _exists(self) -> bool: logging.getLogger(__name__).warning( - "`exists()` not implemented for `%s`. " "Assuming output does not exist.", + "`exists()` not implemented for `%s`. Assuming output does not exist.", self.__class__.__name__, ) return False @@ -376,6 +378,16 @@ def _local_exists(filepath: str) -> bool: return Path(filepath).exists() +def is_remote_path(filepath: str) -> bool: + """ + Check if the given path looks like a remote URL (has scheme). + """ + # Get rid of Windows-specific "C:\" start, + # which is treated as a URL scheme. + _, filepath = os.path.splitdrive(filepath) + return bool(urlparse(filepath).scheme) + + class AbstractVersionedDataSet(AbstractDataSet): """ ``AbstractVersionedDataSet`` is the base class for all versioned data set implementations. diff --git a/kedro/io/csv_local.py b/kedro/io/csv_local.py index 17ad9bee94..a44df49f51 100644 --- a/kedro/io/csv_local.py +++ b/kedro/io/csv_local.py @@ -36,7 +36,12 @@ import pandas as pd -from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version +from kedro.io.core import ( + AbstractVersionedDataSet, + DataSetError, + Version, + is_remote_path, +) class CSVLocalDataSet(AbstractVersionedDataSet): @@ -89,13 +94,24 @@ def __init__( ``kedro.io.core.Version``. If its ``load`` attribute is None, the latest version will be loaded. If its ``save`` attribute is None, save version will be autogenerated. + + Raises: + ValueError: If 'filepath' looks like a remote path. """ super().__init__(Path(filepath), version) + if is_remote_path(filepath): + raise ValueError( + "{} seems to be a remote file, which is not supported by {}".format( + filepath, self.__class__.__name__, + ) + ) + # Handle default load and save arguments self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) if load_args is not None: self._load_args.update(load_args) + self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) if save_args is not None: self._save_args.update(save_args) diff --git a/tests/io/test_csv_local.py b/tests/io/test_csv_local.py index f8cc805996..3b7656344f 100644 --- a/tests/io/test_csv_local.py +++ b/tests/io/test_csv_local.py @@ -68,6 +68,22 @@ def test_exists(self, csv_data_set, dummy_dataframe): csv_data_set.save(dummy_dataframe) assert csv_data_set.exists() + @pytest.mark.parametrize( + 'path', [ + 'http://abc.com', + 'https://abc.com/def?ghi=jkl#mnop', + 'blahblah://abc', + ] + ) + def test_fails_with_remote_path(self, path): + with pytest.raises(ValueError) as assertion: + CSVLocalDataSet( + filepath=path, + save_args={"sep": ","}, + ) + + assert 'seems to be a remote file' in assertion.value.args[0] + class TestCSVLocalDataSetVersioned: def test_save_and_load( From c2d3c55b693e7e2eb5360043dfb62260df04663f Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Thu, 25 Jul 2019 13:59:55 +0100 Subject: [PATCH 40/83] [KED-896] Make unit tests rely less on conftest.py and fixtures defined outside their own files (#154) --- kedro/io/csv_local.py | 2 +- .../test_data_catalog_with_default.py | 50 ++++++++++++++++--- tests/contrib/io/conftest.py | 48 ------------------ tests/contrib/io/parquet/test_parquet_s3.py | 11 ++++ tests/io/conftest.py | 19 ------- tests/io/test_csv_local.py | 24 +++++---- tests/io/test_csv_s3.py | 16 +++++- tests/io/test_data_catalog.py | 11 ++++ tests/io/test_excel_local.py | 7 ++- tests/io/test_hdf_local.py | 7 ++- tests/io/test_hdf_s3.py | 16 ++++++ tests/io/test_memory_data_set.py | 5 ++ tests/io/test_pickle_local.py | 6 +++ tests/io/test_pickle_s3.py | 11 +++- tests/io/test_sql.py | 5 ++ 15 files changed, 148 insertions(+), 90 deletions(-) delete mode 100644 tests/contrib/io/conftest.py diff --git a/kedro/io/csv_local.py b/kedro/io/csv_local.py index a44df49f51..624e2d132e 100644 --- a/kedro/io/csv_local.py +++ b/kedro/io/csv_local.py @@ -103,7 +103,7 @@ def __init__( if is_remote_path(filepath): raise ValueError( "{} seems to be a remote file, which is not supported by {}".format( - filepath, self.__class__.__name__, + filepath, self.__class__.__name__ ) ) diff --git a/tests/contrib/io/catalog_with_default/test_data_catalog_with_default.py b/tests/contrib/io/catalog_with_default/test_data_catalog_with_default.py index 12c9876a81..aae5f84c86 100644 --- a/tests/contrib/io/catalog_with_default/test_data_catalog_with_default.py +++ b/tests/contrib/io/catalog_with_default/test_data_catalog_with_default.py @@ -26,20 +26,54 @@ # See the License for the specific language governing permissions and # limitations under the License. -# pylint: disable=unused-import +import pandas as pd import pytest from kedro.contrib.io.catalog_with_default import DataCatalogWithDefault from kedro.io import CSVLocalDataSet, DataCatalog, MemoryDataSet -from tests.io.conftest import dummy_dataframe, filepath # NOQA -from tests.io.test_data_catalog import data_set, sane_config # NOQA + + +@pytest.fixture +def filepath(tmp_path): + return str(tmp_path / "some" / "dir" / "test.csv") + + +@pytest.fixture +def data_set(filepath): + return CSVLocalDataSet(filepath=filepath, save_args={"index": False}) def default_csv(name): return CSVLocalDataSet(name) -def test_load_from_unregistered(dummy_dataframe, tmpdir): # NOQA +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + +@pytest.fixture +def sane_config(filepath): + return { + "catalog": { + "boats": {"type": "CSVLocalDataSet", "filepath": filepath}, + "cars": { + "type": "CSVS3DataSet", + "filepath": "test_file.csv", + "bucket_name": "test_bucket", + "credentials": "s3_credentials", + }, + }, + "credentials": { + "s3_credentials": { + "aws_access_key_id": "FAKE_ACCESS_KEY", + "aws_secret_access_key": "FAKE_SECRET_KEY", + } + }, + } + + +def test_load_from_unregistered(dummy_dataframe, tmpdir): catalog = DataCatalogWithDefault(data_sets={}, default=default_csv) path = str(tmpdir.mkdir("sub").join("test.csv")) @@ -49,7 +83,7 @@ def test_load_from_unregistered(dummy_dataframe, tmpdir): # NOQA assert dummy_dataframe.equals(reloaded_df) -def test_save_and_load_catalog(data_set, dummy_dataframe, tmpdir): # NOQA +def test_save_and_load_catalog(data_set, dummy_dataframe, tmpdir): catalog = DataCatalogWithDefault(data_sets={"test": data_set}, default=default_csv) path = str(tmpdir.mkdir("sub").join("test")) @@ -58,7 +92,7 @@ def test_save_and_load_catalog(data_set, dummy_dataframe, tmpdir): # NOQA assert dummy_dataframe.equals(reloaded_df) -def test_from_sane_config(sane_config): # NOQA +def test_from_sane_config(sane_config): with pytest.raises( ValueError, match="Cannot instantiate a `DataCatalogWithDefault`" ): @@ -67,7 +101,7 @@ def test_from_sane_config(sane_config): # NOQA ) -def test_from_sane_config_default(sane_config, dummy_dataframe, tmpdir): # NOQA +def test_from_sane_config_default(sane_config, dummy_dataframe, tmpdir): catalog = DataCatalog.from_config( sane_config["catalog"], sane_config["credentials"] ) @@ -103,7 +137,7 @@ def test_remember_load(): assert "any" in catalog.list() -def test_remember_save(tmpdir, dummy_dataframe): # NOQA +def test_remember_save(tmpdir, dummy_dataframe): catalog = DataCatalogWithDefault(data_sets={}, default=default_csv, remember=True) path = str(tmpdir.mkdir("sub").join("test.csv")) diff --git a/tests/contrib/io/conftest.py b/tests/contrib/io/conftest.py deleted file mode 100644 index 18145bd2f3..0000000000 --- a/tests/contrib/io/conftest.py +++ /dev/null @@ -1,48 +0,0 @@ -# Copyright 2018-2019 QuantumBlack Visual Analytics Limited -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, -# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES -# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND -# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS -# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN -# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN -# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. -# -# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo -# (either separately or in combination, "QuantumBlack Trademarks") are -# trademarks of QuantumBlack. The License does not grant you any right or -# license to the QuantumBlack Trademarks. You may not use the QuantumBlack -# Trademarks or any confusingly similar mark as a trademark for your product, -# or use the QuantumBlack Trademarks in any other manner that might cause -# confusion in the marketplace, including but not limited to in advertising, -# on websites, or on software. -# -# See the License for the specific language governing permissions and -# limitations under the License. - -""" -This file contains the fixtures that are reusable by any tests within -this directory. You don't need to import the fixtures as pytest will -discover them automatically. More info here: -https://docs.pytest.org/en/latest/fixture.html -""" - -from pytest import fixture - -from kedro.io.core import generate_current_version - - -@fixture(params=[None]) -def load_version(request): - return request.param - - -@fixture(params=[None]) -def save_version(request): - return request.param or generate_current_version() diff --git a/tests/contrib/io/parquet/test_parquet_s3.py b/tests/contrib/io/parquet/test_parquet_s3.py index 74c8799d4e..d3158af004 100644 --- a/tests/contrib/io/parquet/test_parquet_s3.py +++ b/tests/contrib/io/parquet/test_parquet_s3.py @@ -40,6 +40,7 @@ from kedro.contrib.io.parquet import ParquetS3DataSet from kedro.io import DataSetError, Version +from kedro.io.core import generate_current_version FILENAME = "test.parquet" BUCKET_NAME = "test_bucket" @@ -48,6 +49,16 @@ ) +@pytest.fixture(params=[None]) +def load_version(request): + return request.param + + +@pytest.fixture(params=[None]) +def save_version(request): + return request.param or generate_current_version() + + @pytest.fixture(params=[None]) def load_args(request): return request.param diff --git a/tests/io/conftest.py b/tests/io/conftest.py index 9824d26c3b..18145bd2f3 100644 --- a/tests/io/conftest.py +++ b/tests/io/conftest.py @@ -33,23 +33,11 @@ https://docs.pytest.org/en/latest/fixture.html """ -import pandas as pd from pytest import fixture -from s3fs import S3FileSystem from kedro.io.core import generate_current_version -@fixture(params=[None]) -def filepath(tmp_path, request): - return request.param or str(tmp_path / "some" / "dir" / "test.csv") - - -@fixture -def dummy_dataframe(): - return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) - - @fixture(params=[None]) def load_version(request): return request.param @@ -58,10 +46,3 @@ def load_version(request): @fixture(params=[None]) def save_version(request): return request.param or generate_current_version() - - -@fixture(autouse=True) -def s3fs_cleanup(): - # clear cache so we get a clean slate every time we instantiate a S3FileSystem - yield - S3FileSystem.cachable = False diff --git a/tests/io/test_csv_local.py b/tests/io/test_csv_local.py index 3b7656344f..2efe497160 100644 --- a/tests/io/test_csv_local.py +++ b/tests/io/test_csv_local.py @@ -27,6 +27,7 @@ # limitations under the License. from pathlib import Path +import pandas as pd import pytest from pandas.util.testing import assert_frame_equal @@ -34,6 +35,16 @@ from kedro.io.core import Version +@pytest.fixture() +def filepath(tmp_path): + return str(tmp_path / "some" / "dir" / "test.csv") + + +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + @pytest.fixture(params=[{"sep": ","}]) def csv_data_set(filepath, request): return CSVLocalDataSet(filepath=filepath, save_args=request.param) @@ -69,20 +80,13 @@ def test_exists(self, csv_data_set, dummy_dataframe): assert csv_data_set.exists() @pytest.mark.parametrize( - 'path', [ - 'http://abc.com', - 'https://abc.com/def?ghi=jkl#mnop', - 'blahblah://abc', - ] + "path", ["http://abc.com", "https://abc.com/def?ghi=jkl#mnop", "blahblah://abc"] ) def test_fails_with_remote_path(self, path): with pytest.raises(ValueError) as assertion: - CSVLocalDataSet( - filepath=path, - save_args={"sep": ","}, - ) + CSVLocalDataSet(filepath=path, save_args={"sep": ","}) - assert 'seems to be a remote file' in assertion.value.args[0] + assert "seems to be a remote file" in assertion.value.args[0] class TestCSVLocalDataSetVersioned: diff --git a/tests/io/test_csv_s3.py b/tests/io/test_csv_s3.py index e7dc02f05b..299963bd2b 100644 --- a/tests/io/test_csv_s3.py +++ b/tests/io/test_csv_s3.py @@ -36,6 +36,7 @@ from botocore.exceptions import PartialCredentialsError from moto import mock_s3 from pandas.util.testing import assert_frame_equal +from s3fs import S3FileSystem from kedro.io import CSVS3DataSet, DataSetError from kedro.io.core import Version @@ -47,6 +48,11 @@ ) +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + @pytest.fixture(params=[None]) def load_args(request): return request.param @@ -109,6 +115,14 @@ def mocked_s3_object_versioned(mocked_s3_bucket, dummy_dataframe, save_version): return mocked_s3_bucket +@pytest.fixture() +def s3fs_cleanup(): + # clear cache so we get a clean slate every time we instantiate a S3FileSystem + yield + S3FileSystem.cachable = False + + +@pytest.mark.usefixtures("s3fs_cleanup") class TestCSVS3DataSet: @pytest.mark.parametrize( "bad_credentials", @@ -227,7 +241,7 @@ def test_load_args_propagated(self, mocker, mocked_s3_object): assert mock.call_args_list[0][1] == {"custom": 42} -@pytest.mark.usefixtures("mocked_s3_bucket") +@pytest.mark.usefixtures("s3fs_cleanup", "mocked_s3_bucket") class TestCSVS3DataSetVersioned: def test_save_and_load(self, versioned_s3_data_set, dummy_dataframe): """Test that saved and reloaded data matches the original one for diff --git a/tests/io/test_data_catalog.py b/tests/io/test_data_catalog.py index 07e3597f78..33210d0835 100644 --- a/tests/io/test_data_catalog.py +++ b/tests/io/test_data_catalog.py @@ -28,6 +28,7 @@ from pathlib import Path from typing import Any +import pandas as pd import pytest from pandas.util.testing import assert_frame_equal @@ -46,6 +47,16 @@ from kedro.io.core import generate_current_version +@pytest.fixture +def filepath(tmp_path): + return str(tmp_path / "some" / "dir" / "test.csv") + + +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + @pytest.fixture def sane_config(filepath): return { diff --git a/tests/io/test_excel_local.py b/tests/io/test_excel_local.py index 19a5b765f2..38274eb7a0 100644 --- a/tests/io/test_excel_local.py +++ b/tests/io/test_excel_local.py @@ -25,7 +25,7 @@ # # See the License for the specific language governing permissions and # limitations under the License. - +import pandas as pd import pytest from pandas.util.testing import assert_frame_equal @@ -38,6 +38,11 @@ def filepath_xls(tmp_path): return str(tmp_path / "test.xlsx") +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + @pytest.fixture(params=[dict()]) def xls_data_set(filepath_xls, request): return ExcelLocalDataSet(filepath=filepath_xls, **request.param) diff --git a/tests/io/test_hdf_local.py b/tests/io/test_hdf_local.py index c00a60f75c..e85cedc381 100644 --- a/tests/io/test_hdf_local.py +++ b/tests/io/test_hdf_local.py @@ -25,7 +25,7 @@ # # See the License for the specific language governing permissions and # limitations under the License. - +import pandas as pd import pytest from pandas.util.testing import assert_frame_equal @@ -38,6 +38,11 @@ def filepath_hdf(tmp_path): return str(tmp_path / "test.hdf") +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + @pytest.fixture def hdf_data_set(filepath_hdf): return HDFLocalDataSet(filepath=filepath_hdf, key="test_hdf") diff --git a/tests/io/test_hdf_s3.py b/tests/io/test_hdf_s3.py index 512fd7049f..7fec76de29 100644 --- a/tests/io/test_hdf_s3.py +++ b/tests/io/test_hdf_s3.py @@ -27,11 +27,13 @@ # limitations under the License. from multiprocessing.reduction import ForkingPickler +import pandas as pd import pytest import s3fs from botocore.exceptions import PartialCredentialsError from moto import mock_s3 from pandas.util.testing import assert_frame_equal +from s3fs import S3FileSystem from kedro.io import DataSetError, HDFS3DataSet from kedro.io.core import Version @@ -43,6 +45,11 @@ ) +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + @pytest.fixture def hdf_data_set(): return HDFS3DataSet( @@ -94,6 +101,14 @@ def versioned_hdf_data_set(load_version, save_version): ) +@pytest.fixture() +def s3fs_cleanup(): + # clear cache so we get a clean slate every time we instantiate a S3FileSystem + yield + S3FileSystem.cachable = False + + +@pytest.mark.usefixtures("s3fs_cleanup") class TestHDFS3DataSet: @pytest.mark.parametrize( "bad_credentials", @@ -191,6 +206,7 @@ def test_serializable(self, hdf_data_set): ForkingPickler.dumps(hdf_data_set) +@pytest.mark.usefixtures("s3fs_cleanup") class TestHDFS3DataSetVersioned: @pytest.mark.usefixtures("mocked_s3_object") def test_save_and_load(self, versioned_hdf_data_set, dummy_dataframe): diff --git a/tests/io/test_memory_data_set.py b/tests/io/test_memory_data_set.py index 0644239b37..acfe217226 100644 --- a/tests/io/test_memory_data_set.py +++ b/tests/io/test_memory_data_set.py @@ -57,6 +57,11 @@ def dummy_numpy_array(): return np.array([[1, 4, 5], [2, 5, 6]]) +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + @pytest.fixture(params=["dummy_dataframe", "dummy_numpy_array"]) def input_data(request): return request.getfixturevalue(request.param) diff --git a/tests/io/test_pickle_local.py b/tests/io/test_pickle_local.py index b1b063c450..e58936c9b9 100644 --- a/tests/io/test_pickle_local.py +++ b/tests/io/test_pickle_local.py @@ -27,6 +27,7 @@ # limitations under the License. from importlib import reload +import pandas as pd import pytest from pandas.util.testing import assert_frame_equal @@ -40,6 +41,11 @@ def filepath_pkl(tmp_path): return str(tmp_path / "test.pkl") +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + @pytest.fixture(params=["pickle"]) def pickle_data_set(filepath_pkl, request): return PickleLocalDataSet(filepath=filepath_pkl, backend=request.param) diff --git a/tests/io/test_pickle_s3.py b/tests/io/test_pickle_s3.py index 3f210eb6df..6e24b8896c 100644 --- a/tests/io/test_pickle_s3.py +++ b/tests/io/test_pickle_s3.py @@ -35,6 +35,7 @@ import s3fs from botocore.exceptions import PartialCredentialsError from moto import mock_s3 +from s3fs import S3FileSystem from kedro.io import DataSetError, PickleS3DataSet, Version @@ -103,6 +104,14 @@ def mocked_s3_object_versioned(mocked_s3_bucket, save_version): return mocked_s3_bucket +@pytest.fixture() +def s3fs_cleanup(): + # clear cache so we get a clean slate every time we instantiate a S3FileSystem + yield + S3FileSystem.cachable = False + + +@pytest.mark.usefixtures("s3fs_cleanup") class TestPickleS3DataSet: @pytest.mark.usefixtures("mocked_s3_bucket") def test_exists(self, s3_data_set): @@ -194,7 +203,7 @@ def test_serializable(self, s3_data_set): ForkingPickler.dumps(s3_data_set) -@pytest.mark.usefixtures("mocked_s3_bucket") +@pytest.mark.usefixtures("s3fs_cleanup", "mocked_s3_bucket") class TestPickleS3DataSetVersioned: def test_exists(self, versioned_s3_data_set): """Test `exists` method invocation for versioned data set.""" diff --git a/tests/io/test_sql.py b/tests/io/test_sql.py index af91d4076b..251df6da34 100644 --- a/tests/io/test_sql.py +++ b/tests/io/test_sql.py @@ -45,6 +45,11 @@ ) +@pytest.fixture +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + @pytest.fixture(params=[dict()]) def table_data_set(request): kwargs = dict(table_name=TABLE_NAME, credentials=dict(con=CONNECTION)) From 266fdb95630a566273aba5ea9467b09ef5e3a4ca Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Thu, 25 Jul 2019 16:10:48 +0100 Subject: [PATCH 41/83] [KED-863] Documentation for how to implement versioning (#156) --- docs/source/04_user_guide/07_advanced_io.md | 39 ++++++++++++++++++++- 1 file changed, 38 insertions(+), 1 deletion(-) diff --git a/docs/source/04_user_guide/07_advanced_io.md b/docs/source/04_user_guide/07_advanced_io.md index 831e100088..f68ab43a18 100644 --- a/docs/source/04_user_guide/07_advanced_io.md +++ b/docs/source/04_user_guide/07_advanced_io.md @@ -48,10 +48,47 @@ In order to enable versioning, all of the following conditions must be met: 1. The dataset must: 1. extend `kedro.io.core.AbstractVersionedDataSet` AND 2. add `version` namedtuple as an argument to its `__init__` method AND - 3. call `super().__init__()` with positional arguments `version`, `filepath`, and optionally with a `glob` and an `exists` functions if it uses non-local filesystem (see [`kedro.io.CSVLocalDataSet`](/kedro.io.CSVLocalDataSet) and [`kedro.io.CSVS3DataSet`](/kedro.io.CSVS3DataSet) example implementations) AND + 3. call `super().__init__()` with positional arguments `filepath`, `version`, and optionally with a `glob` and an `exists` functions if it uses non-local filesystem (see [kedro.io.CSVLocalDataSet](https://github.com/quantumblacklabs/kedro/blob/master/kedro/io/csv_local.py) and [kedro.io.CSVS3DataSet](https://github.com/quantumblacklabs/kedro/blob/master/kedro/io/csv_s3.py) for example) AND 4. modify its `_describe`, `_load` and `_save` methods respectively to support versioning (see [`kedro.io.CSVLocalDataSet`](/kedro.io.CSVLocalDataSet) for an example implementation) AND 2. In the `catalog.yml` config file you must enable versioning by setting `versioned` attribute to `true` for the given dataset. +An example dataset could look similar to the below: + +```python +from pathlib import Path + +import pandas as pd + +from kedro.io import AbstractVersionedDataSet + + +class MyOwnDataSet(AbstractVersionedDataSet): + def __init__(self, param1, param2, filepath, version): + super().__init__(Path(filepath), version) + self._param1 = param1 + self._param2 = param2 + + def _load(self) -> pd.DataFrame: + load_path = self._get_load_path() + return pd.read_csv(load_path) + + def _save(self, df: pd.DataFrame) -> None: + save_path = self._get_save_path() + df.to_csv(save_path) + + def _describe(self): + return dict(version=self._version, param1=self._param1, param2=self._param2) +``` + +With `catalog.yml` specifying: + +```yaml +my_dataset: + type: .MyOwnDataSet + filepath: data/01_raw/my_data.csv + versioned: true +``` + ### `version` namedtuple Versioned dataset `__init__` method must have an optional argument called `version` with a default value of `None`. If provided, this argument must be an instance of [`kedro.io.core.Version`](/kedro.io.Version). Its `load` and `save` attributes must either be `None` or contain string values representing exact load and save versions: From bceed9693add3668cce5043956bf2e688d0f9db0 Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Fri, 26 Jul 2019 11:42:00 +0100 Subject: [PATCH 42/83] [KED-904] Unpin PyArrow (#158) --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 0bc1debc3e..273b85bcdf 100644 --- a/requirements.txt +++ b/requirements.txt @@ -3,7 +3,7 @@ cookiecutter==1.6.0 pandas>=0.23.0, <0.25.0 PyYAML>=4.2, <6.0 tables==3.5.1 -pyarrow==0.12.0 +pyarrow>=0.12.0, <1.0.0 SQLAlchemy>=1.2.0, <2.0 toposort==1.5 xlrd>=1.0.0, <2.0 From 90a4f9b4bbdcbb5df08c5511dd43453775194054 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Fri, 26 Jul 2019 12:43:35 +0100 Subject: [PATCH 43/83] [KED-898] Add __init__() in ProjectContext to accept kwargs (#155) --- kedro/cli/cli.py | 3 ++- kedro/context/context.py | 3 ++- .../src/{{ cookiecutter.python_package }}/run.py | 5 +++-- 3 files changed, 7 insertions(+), 4 deletions(-) diff --git a/kedro/cli/cli.py b/kedro/cli/cli.py index 9fdeefdd86..ed66f0c4f5 100644 --- a/kedro/cli/cli.py +++ b/kedro/cli/cli.py @@ -510,7 +510,8 @@ def get_project_context(key: str = "context", **kwargs) -> Any: Args: key: Optional key in Kedro context dictionary. Defaults to "context". - kwargs: Optional custom arguments defined by users. + kwargs: Optional custom arguments defined by users, which will be passed to + __kedro_context__() in `run.py`. Returns: Requested value from Kedro context dictionary or the default if the key diff --git a/kedro/context/context.py b/kedro/context/context.py index 40501665e9..0c6dd62d7e 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -275,7 +275,8 @@ def load_context(project_path: Union[str, Path], **kwargs) -> KedroContext: Args: project_path: Path to the Kedro project. - kwargs: Optional custom arguments defined by users. + kwargs: Optional custom arguments defined by users, which will be passed to + __kedro_context__() in `run.py`. Returns: Instance of KedroContext class defined in Kedro project. diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py index efaecfd5f7..f25943a54d 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py @@ -78,12 +78,13 @@ def __kedro_context__(env: str = None, **kwargs) -> KedroContext: # from a different location. env = "local" - return ProjectContext(Path.cwd(), env, **kwargs) + return ProjectContext(Path.cwd(), env) def main( tags: Iterable[str] = None, - env: str = None, runner: Type[AbstractRunner] = None, + env: str = None, + runner: Type[AbstractRunner] = None, node_names: Iterable[str] = None, ): """Application main entry point. From 717df29beb347279f1052ac0edcd9569d2140d44 Mon Sep 17 00:00:00 2001 From: Anton Kirilenko Date: Fri, 26 Jul 2019 13:20:52 +0100 Subject: [PATCH 44/83] [KED-899] Add CSVHttpDataSet (#153) --- RELEASE.md | 1 + docs/source/05_api_docs/kedro.io.rst | 1 + kedro/io/__init__.py | 1 + kedro/io/csv_http.py | 122 ++++++++++++++++++++++ requirements.txt | 1 + test_requirements.txt | 2 +- tests/io/test_csv_http.py | 146 +++++++++++++++++++++++++++ 7 files changed, 273 insertions(+), 1 deletion(-) create mode 100644 kedro/io/csv_http.py create mode 100644 tests/io/test_csv_http.py diff --git a/RELEASE.md b/RELEASE.md index c4cc9cabd4..6e341fe0e3 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -5,6 +5,7 @@ * Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config). * Added a new I/O module `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) * Added a new `--node` flag to `kedro run`, allowing users to run only the nodes with the specified names. +* Added `CSVHTTPDataSet` to load CSV using HTTP(s) links. ## Bug fixes and other changes * Documentation improvements. diff --git a/docs/source/05_api_docs/kedro.io.rst b/docs/source/05_api_docs/kedro.io.rst index ea196d88e4..70dd5feb73 100644 --- a/docs/source/05_api_docs/kedro.io.rst +++ b/docs/source/05_api_docs/kedro.io.rst @@ -22,6 +22,7 @@ Data Sets :template: autosummary/class.rst kedro.io.CSVLocalDataSet + kedro.io.CSVHTTPDataSet kedro.io.CSVS3DataSet kedro.io.HDFLocalDataSet kedro.io.HDFS3DataSet diff --git a/kedro/io/__init__.py b/kedro/io/__init__.py index 28e7fd7f80..ba16c06518 100644 --- a/kedro/io/__init__.py +++ b/kedro/io/__init__.py @@ -37,6 +37,7 @@ from .core import DataSetError # NOQA from .core import DataSetNotFoundError # NOQA from .core import Version # NOQA +from .csv_http import CSVHTTPDataSet # NOQA from .csv_local import CSVLocalDataSet # NOQA from .csv_s3 import CSVS3DataSet # NOQA from .data_catalog import DataCatalog # NOQA diff --git a/kedro/io/csv_http.py b/kedro/io/csv_http.py new file mode 100644 index 0000000000..a0d86d3d49 --- /dev/null +++ b/kedro/io/csv_http.py @@ -0,0 +1,122 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``CSVHTTPDataSet`` loads the data from HTTP(S) and parses as Pandas dataframe. +Does not support versioning or data uploading. +""" +import copy +import socket +from io import BytesIO +from typing import Any, Dict, Optional, Tuple, Union + +import pandas as pd +import requests +from requests.auth import AuthBase + +from kedro.io.core import AbstractDataSet, DataSetError, DataSetNotFoundError + + +class CSVHTTPDataSet(AbstractDataSet): + """``CSVHTTPDataSet`` loads the data from HTTP(S) and parses as Pandas dataframe. + Does not support versioning or data uploading. + + Example: + :: + + >>> from kedro.io import CSVHTTPDataSet + >>> + >>> + >>> data_set = CSVHTTPDataSet( + >>> fileurl="https://people.sc.fsu.edu/~jburkardt/data/csv/cities.csv", + >>> auth=None, + >>> load_args=None) + >>> data = data_set.load() + """ + + def __init__( + self, + fileurl: str, + auth: Optional[Union[Tuple[str], AuthBase]] = None, + load_args: Optional[Dict[str, Any]] = None, + ) -> None: + """Creates a new instance of ``CSVHTTPDataSet`` pointing to a concrete + csv file over HTTP(S). + + Args: + fileurl: A URL to fetch the CSV file. + auth: Anything ``requests.get`` accepts. Normally it's either + ``('login', 'password')``, or ``AuthBase`` instance for more complex cases. + load_args: Pandas options for loading csv files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html + All defaults are preserved. + + """ + super().__init__() + self._fileurl = fileurl + self._auth_backend = auth + self._load_args = copy.deepcopy(load_args or {}) + + def _describe(self) -> Dict[str, Any]: + return dict(fileurl=self._fileurl, load_args=self._load_args) + + def _execute_request(self): + try: + response = requests.get(self._fileurl, auth=self._auth_backend) + response.raise_for_status() + except requests.exceptions.HTTPError as exc: + if ( + exc.response.status_code + == requests.codes.NOT_FOUND # pylint: disable=no-member + ): + raise DataSetNotFoundError( + "The server returned 404 for {}".format(self._fileurl) + ) + raise DataSetError("Failed to fetch data") + except socket.error: + raise DataSetError("Failed to connect to the remote server") + + return response + + def _load(self) -> pd.DataFrame: + response = self._execute_request() + return pd.read_csv(BytesIO(response.content), **self._load_args) + + def _save(self, data: pd.DataFrame) -> None: + raise DataSetError( + "{} is a read only data set type".format(self.__class__.__name__) + ) + + def _exists(self) -> bool: + try: + response = self._execute_request() + except DataSetNotFoundError: + return False + + # NOTE: we don't access the actual content here, which might be large. + return response.status_code == requests.codes.OK # pylint: disable=no-member diff --git a/requirements.txt b/requirements.txt index 273b85bcdf..15587246ad 100644 --- a/requirements.txt +++ b/requirements.txt @@ -12,3 +12,4 @@ anyconfig==0.9.7 python-json-logger==0.1.9 memory_profiler==0.54.0 s3fs>=0.3.0, <1.0 +requests>=2.21.0, <3.0.0 \ No newline at end of file diff --git a/test_requirements.txt b/test_requirements.txt index ce17add66e..cadfd8b356 100644 --- a/test_requirements.txt +++ b/test_requirements.txt @@ -17,5 +17,5 @@ joblib==0.12.3 psutil==5.4.7 wheel==0.32.2 biopython>=1.73, <2.0 -requests>=2.21.0, <3.0 +requests-mock>=1.6.0, <2.0.0 mypy<=1.0 diff --git a/tests/io/test_csv_http.py b/tests/io/test_csv_http.py new file mode 100644 index 0000000000..0b4621a6a6 --- /dev/null +++ b/tests/io/test_csv_http.py @@ -0,0 +1,146 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=no-member,unused-argument +import socket + +import pytest +import requests + +from kedro.io import CSVHTTPDataSet, DataSetError +from kedro.io.core import DataSetNotFoundError + +TEST_FILE_URL = "http://example.com/test.csv" +TEST_SAMPLE_CSV_DATA = """ +"Index", "Mass (kg)", "Spring 1 (m)", "Spring 2 (m)" + 1, 0.00, 0.050, 0.050 + 2, 0.49, 0.066, 0.066 + 3, 0.98, 0.087, 0.080 + 4, 1.47, 0.116, 0.108 + 5, 1.96, 0.142, 0.138 + 6, 2.45, 0.166, 0.158 + 7, 2.94, 0.193, 0.174 + 8, 3.43, 0.204, 0.192 + 9, 3.92, 0.226, 0.205 +10, 4.41, 0.238, 0.232""" + + +@pytest.fixture +def sample_remote_csv_file(requests_mock): + return requests_mock.get( + TEST_FILE_URL, content=TEST_SAMPLE_CSV_DATA.encode("utf-8") + ) + + +@pytest.fixture +def csv_data_set(): + return CSVHTTPDataSet(fileurl=TEST_FILE_URL) + + +class TestCSVHTTPDataSet: + def test_successfully_load(self, csv_data_set, sample_remote_csv_file): + """ + Test that given the right URL returning good CSV content, + we parse it successfully. + """ + df = csv_data_set.load() + + # Just check we'ce successfully loaded the data. + assert len(df) == 10 + + def test_resource_not_found(self, csv_data_set, requests_mock): + """ + The server responds with 404, + we should raise a specific exception in this case. + """ + requests_mock.get( + TEST_FILE_URL, + content=b"Nope, not found", + status_code=requests.codes.NOT_FOUND, + ) + with pytest.raises(DataSetNotFoundError, match="The server returned 404 for"): + csv_data_set.load() + + def test_http_error(self, csv_data_set, requests_mock): + """ + In case of an unexpected HTTP error, we re-raise DataSetError. + """ + requests_mock.get( + TEST_FILE_URL, + content=b"You shall not pass", + status_code=requests.codes.FORBIDDEN, + ) + with pytest.raises(DataSetError, match="Failed to fetch data"): + csv_data_set.load() + + def test_socket_error(self, csv_data_set, requests_mock): + """ + If failed to connect completely and a socket error is raised, + re-raise DataSetError. + """ + requests_mock.get(TEST_FILE_URL, exc=socket.error) + with pytest.raises(DataSetError, match="Failed to connect"): + csv_data_set.load() + + def test_read_only_mode(self, csv_data_set): + """ + Saving is disabled on the data set. + """ + with pytest.raises(DataSetError, match="is a read only data set type"): + csv_data_set.save({}) + + def test_exists_not_found(self, csv_data_set, requests_mock): + """ + The remote server returns 404, we should report that it doesn't exist. + """ + requests_mock.get( + TEST_FILE_URL, + content=b"Nope, not found", + status_code=requests.codes.NOT_FOUND, + ) + assert not csv_data_set.exists() + + def test_exists_http_error(self, csv_data_set, requests_mock): + """ + In case of an unexpected HTTP error, + ``exists()`` should not silently catch it. + """ + requests_mock.get( + TEST_FILE_URL, + content=b"You shall not pass", + status_code=requests.codes.FORBIDDEN, + ) + with pytest.raises(DataSetError, match="Failed to fetch data"): + csv_data_set.exists() + + def test_exists_ok(self, csv_data_set, sample_remote_csv_file): + """ + If the file actually exists and server responds 200, + ``exists()`` should return True + """ + assert csv_data_set.exists() From 7be11ff4e603e1738e9259aa21baba1cd3878b2c Mon Sep 17 00:00:00 2001 From: LorenaBalanQB <48984996+LorenaBalanQB@users.noreply.github.com> Date: Fri, 26 Jul 2019 14:07:14 +0100 Subject: [PATCH 45/83] [KED-880] Run argument allowing users to specify a range of nodes they want to run using from and to (#150) --- RELEASE.md | 1 + .../04_user_guide/05_nodes_and_pipelines.md | 108 +++-- features/subpipelines.feature | 27 ++ kedro/context/context.py | 29 +- kedro/pipeline/pipeline.py | 14 +- .../{{ cookiecutter.repo_name }}/kedro_cli.py | 14 +- .../{{ cookiecutter.python_package }}/run.py | 16 +- tests/context/test_context.py | 45 +- tests/pipeline/test_pipeline.py | 373 ++--------------- .../test_pipeline_with_transcoding.py | 394 ++++++++++++++++++ 10 files changed, 642 insertions(+), 379 deletions(-) create mode 100644 tests/pipeline/test_pipeline_with_transcoding.py diff --git a/RELEASE.md b/RELEASE.md index 6e341fe0e3..b0d0aa1687 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -6,6 +6,7 @@ * Added a new I/O module `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) * Added a new `--node` flag to `kedro run`, allowing users to run only the nodes with the specified names. * Added `CSVHTTPDataSet` to load CSV using HTTP(s) links. +* Added new `--from-nodes` and `--to-nodes` run arguments, allowing users to run a range of nodes from the pipeline. ## Bug fixes and other changes * Documentation improvements. diff --git a/docs/source/04_user_guide/05_nodes_and_pipelines.md b/docs/source/04_user_guide/05_nodes_and_pipelines.md index e78365577a..1d656ec421 100644 --- a/docs/source/04_user_guide/05_nodes_and_pipelines.md +++ b/docs/source/04_user_guide/05_nodes_and_pipelines.md @@ -516,36 +516,6 @@ kedro run --runner=ParallelRunner > *Note:* You cannot use both `--parallel` and `--runner` flags at the same time (e.g. `kedro run --parallel --runner=SequentialRunner` raises an exception). -Furthermore, you may opt to run only specific nodes by name. To illustrate this, you can update the first node's definition in `pipeline.py` as follows: - -```python -node( - split_data, - ["example_iris_data", "parameters"], - dict( - train_x="example_train_x", - train_y="example_train_y", - test_x="example_test_x", - test_y="example_test_y", - ), - name="node1", -), - -``` - -and then run the following command in your shell: - -```bash -kedro run --node=node1 -``` - -You may specify multiple names like so: - -```bash -kedro run --node=node1 --node=node2 -``` - -> *Note:* The run will only succeed if the nodes require existing inputs, i.e. already produced or present in the data catalog. ### Applying decorators on pipelines @@ -768,6 +738,52 @@ Outputs: v As you can see, this will create a partial pipeline starting from the specified node and continuing to all other nodes downstream. +You can run the resulting partial pipeline by running the following command in your terminal window: + +```bash +kedro run --from-nodes="mean node" +``` + +#### Partial pipeline ending at nodes +Similarly, you can specify the nodes which should be used as an end of the new pipeline. For example, you can do as follows: + +```python +print(pipeline.to_nodes('mean node').describe()) +``` + +`Output`: + +```console +#### Pipeline execution order #### +Name: None +Inputs: xs + +len([xs]) -> [n] +mean node + +Outputs: m +################################## +``` + +As you can see, this will create a partial pipeline starting at the top and ending with the specified node. + +You can run the resulting partial pipeline by running the following command in your terminal window: + +```bash +kedro run --to-nodes="mean node" +``` + +Furthermore, you can combine these two flags to specify a range of nodes to be included in the new pipeline. This would look like: + +```bash +kedro run --from-nodes A --to-nodes Z +``` + +or, when specifying multiple nodes: +```bash +kedro run --from-nodes A,D --to-nodes X,Y,Z +``` + #### Partial pipeline from nodes with tags One can also create a partial pipeline from the nodes that have specific tags attached to them. In order to construct a partial pipeline out of nodes that have both tag `t1` *AND* tag `t2`, you can run the following: @@ -827,6 +843,38 @@ Outputs: m, m2 This will create a partial pipeline, consisting solely of the nodes you specify as arguments in the method call. +You can check this out for yourself by updating the definition of the first node in the example code provided in `pipeline.py` as follows: + +```python +node( + split_data, + ["example_iris_data", "parameters"], + dict( + train_x="example_train_x", + train_y="example_train_y", + test_x="example_test_x", + test_y="example_test_y", + ), + name="node1", +), + +``` + +and then run the following command in your terminal window: + +```bash +kedro run --node=node1 +``` + +You may specify multiple names like so: + +```bash +kedro run --node=node1 --node=node2 +``` + +> *Note:* The run will only succeed if all the inputs required by those nodes already exist, i.e. already produced or present in the data catalog. + + #### Recreating Missing Outputs Kedro supports the automatic generation of partial pipelines that take into account existing node outputs. This can be helpful to avoid re-running nodes that take a long time: diff --git a/features/subpipelines.feature b/features/subpipelines.feature index 17927fb5de..7e986f17fe 100644 --- a/features/subpipelines.feature +++ b/features/subpipelines.feature @@ -95,3 +95,30 @@ Feature: Run subpipelines And the console log should show that 2 nodes were run And the console log should show that "node_1" was run And the console log should show that "node_2" was run + + Scenario: Run subpipeline using a subset of nodes as starting point + + When I execute the kedro command "run --from-nodes node_1" + Then I should get a successful exit code + And the console log should show that 4 nodes were run + And the console log should show that "node_1" was run + And the console log should show that "node_2" was run + And the console log should show that "node_3" was run + And the console log should show that "node_4" was run + + Scenario: Run subpipeline using a subset of nodes as end point + + When I execute the kedro command "run --to-nodes node_2" + Then I should get a successful exit code + And the console log should show that 2 nodes were run + And the console log should show that "node_1" was run + And the console log should show that "node_2" was run + + Scenario: Run subpipeline using a range of nodes + + When I execute the kedro command "run --from-nodes node_1 --to-nodes node_3" + Then I should get a successful exit code + And the console log should show that 3 nodes were run + And the console log should show that "node_1" was run + And the console log should show that "node_2" was run + And the console log should show that "node_3" was run diff --git a/kedro/context/context.py b/kedro/context/context.py index 0c6dd62d7e..164a72b7f7 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -226,11 +226,13 @@ def _create_catalog(self) -> DataCatalog: catalog.add_feed_dict(self._get_feed_dict()) return catalog - def run( + def run( # pylint: disable=too-many-arguments self, tags: Iterable[str] = None, runner: AbstractRunner = None, node_names: Iterable[str] = None, + from_nodes: Iterable[str] = None, + to_nodes: Iterable[str] = None, ) -> None: """Runs the pipeline with a specified runner. @@ -243,6 +245,10 @@ def run( node_names: An optional list of node names which should be used to filter the nodes of the ``Pipeline``. If specified, only the nodes with these names will be run. + from_nodes: An optional list of node names which should be used as a + starting point of the new ``Pipeline``. + to_nodes: An optional list of node names which should be used as an + end point of the new ``Pipeline``. Raises: KedroContextError: If the resulting ``Pipeline`` is empty or incorrect tags are provided. @@ -251,18 +257,23 @@ def run( # Report project name logging.info("** Kedro project {}".format(self.project_path.name)) - # Load the pipeline + # Load the pipeline as the intersection of all conditions pipeline = self.pipeline - if node_names: - pipeline = pipeline.only_nodes(*node_names) if tags: - pipeline = pipeline.only_nodes_with_tags(*tags) + pipeline = pipeline & self.pipeline.only_nodes_with_tags(*tags) + if not pipeline.nodes: + raise KedroContextError( + "Pipeline contains no nodes with tags: {}".format(str(tags)) + ) + if from_nodes: + pipeline = pipeline & self.pipeline.from_nodes(*from_nodes) + if to_nodes: + pipeline = pipeline & self.pipeline.to_nodes(*to_nodes) + if node_names: + pipeline = pipeline & self.pipeline.only_nodes(*node_names) if not pipeline.nodes: - msg = "Pipeline contains no nodes" - if tags: - msg += " with tags: {}".format(str(tags)) - raise KedroContextError(msg) + raise KedroContextError("Pipeline contains no nodes") # Run the runner runner = runner or SequentialRunner() diff --git a/kedro/pipeline/pipeline.py b/kedro/pipeline/pipeline.py index ffc92e08ac..d291602e23 100644 --- a/kedro/pipeline/pipeline.py +++ b/kedro/pipeline/pipeline.py @@ -164,6 +164,16 @@ def __add__(self, other): return NotImplemented return Pipeline(set(self.nodes + other.nodes)) + def __and__(self, other): + if not isinstance(other, Pipeline): + return NotImplemented + return Pipeline(set(self.nodes) & set(other.nodes)) + + def __or__(self, other): + if not isinstance(other, Pipeline): + return NotImplemented + return Pipeline(set(self.nodes + other.nodes)) + def all_inputs(self) -> Set[str]: """All inputs for all nodes in the pipeline. @@ -600,8 +610,8 @@ def to_nodes(self, *node_names: str) -> "Pipeline": or transitively by the provided nodes. Args: - node_names: A list of node_names which should be used as a - starting point of the new ``Pipeline``. + node_names: A list of node_names which should be used as an + end point of the new ``Pipeline``. Raises: ValueError: Raised when any of the given names do not exist in the ``Pipeline`` object. diff --git a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py index ac831e20cd..08080d89a4 100755 --- a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py @@ -74,6 +74,10 @@ NODE_ARG_HELP = """Run only nodes with specified names.""" +FROM_NODES_HELP = """A list of node names which should be used as a starting point.""" + +TO_NODES_HELP = """A list of node names which should be used as an end point""" + PARALLEL_ARG_HELP = """Run the pipeline using the `ParallelRunner`. If not specified, use the `SequentialRunner`. This flag cannot be used together with --runner.""" @@ -100,6 +104,8 @@ def cli(): @cli.command() +@click.option("--from-nodes", type=str, default="", help=FROM_NODES_HELP) +@click.option("--to-nodes", type=str, default="", help=TO_NODES_HELP) @click.option("--node", "-n", "node_names", type=str, default=None, multiple=True, help=NODE_ARG_HELP) @click.option( "--runner", "-r", type=str, default=None, multiple=False, help=RUNNER_ARG_HELP @@ -107,9 +113,12 @@ def cli(): @click.option("--parallel", "-p", is_flag=True, multiple=False, help=PARALLEL_ARG_HELP) @click.option("--env", "-e", type=str, default=None, multiple=False, help=ENV_ARG_HELP) @click.option("--tag", "-t", type=str, default=None, multiple=True, help=TAG_ARG_HELP) -def run(tag, env, parallel, runner, node_names): +def run(tag, env, parallel, runner, node_names, to_nodes, from_nodes): """Run the pipeline.""" from {{cookiecutter.python_package}}.run import main + from_nodes = [n for n in from_nodes.split(",") if n] + to_nodes = [n for n in to_nodes.split(",") if n] + if parallel and runner: raise KedroCliError( "Both --parallel and --runner options cannot be used together. " @@ -118,7 +127,8 @@ def run(tag, env, parallel, runner, node_names): if parallel: runner = "ParallelRunner" runner_class = load_obj(runner, "kedro.runner") if runner else SequentialRunner - main(tags=tag, env=env, runner=runner_class(), node_names=node_names) + + main(tags=tag, env=env, runner=runner_class(), node_names=node_names, from_nodes=from_nodes, to_nodes=to_nodes) @forward_command(cli, forward_help=True) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py index f25943a54d..35c2d207c9 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py @@ -28,17 +28,11 @@ """Application entry point.""" -import logging.config from pathlib import Path -from typing import Iterable, Type, Union -from warnings import warn +from typing import Iterable, Type -from kedro.cli.utils import KedroCliError -from kedro.config import ConfigLoader, MissingConfigException from kedro.context import KedroContext -from kedro.io import DataCatalog from kedro.runner import AbstractRunner -from kedro.utils import load_obj from kedro.pipeline import Pipeline from {{ cookiecutter.python_package }}.pipeline import create_pipeline @@ -86,6 +80,8 @@ def main( env: str = None, runner: Type[AbstractRunner] = None, node_names: Iterable[str] = None, + from_nodes: Iterable[str] = None, + to_nodes: Iterable[str] = None, ): """Application main entry point. @@ -100,11 +96,15 @@ def main( node_names: An optional list of node names which should be used to filter the nodes of the ``Pipeline``. If specified, only the nodes with these names will be run. + from_nodes: An optional list of node names which should be used as a + starting point of the new ``Pipeline``. + to_nodes: An optional list of node names which should be used as an + end point of the new ``Pipeline``. """ context = __kedro_context__(env) - context.run(tags, runner, node_names) + context.run(tags, runner, node_names, from_nodes, to_nodes) if __name__ == "__main__": diff --git a/tests/context/test_context.py b/tests/context/test_context.py index 9feb831ccb..f8b768b98b 100644 --- a/tests/context/test_context.py +++ b/tests/context/test_context.py @@ -176,6 +176,8 @@ def pipeline(self) -> Pipeline: [ node(identity, "cars", "boats", name="node1", tags=["tag1"]), node(identity, "boats", "trains", name="node2"), + node(identity, "trains", "ships", name="node3"), + node(identity, "ships", "planes", name="node4"), ], name="pipeline", ) @@ -264,6 +266,9 @@ def test_pipeline(self, dummy_context): assert dummy_context.pipeline.nodes[1].inputs == ["boats"] assert dummy_context.pipeline.nodes[1].outputs == ["trains"] + +@pytest.mark.usefixtures("config_dir") +class TestKedroContextRun: def test_default_run(self, dummy_context, dummy_dataframe, caplog): dummy_context.catalog.save("cars", dummy_dataframe) dummy_context.run() @@ -322,10 +327,48 @@ def test_run_with_tags(self, dummy_context, dummy_dataframe, caplog): def test_run_with_wrong_tags(self, dummy_context, dummy_dataframe): dummy_context.catalog.save("cars", dummy_dataframe) - pattern = r"Pipeline contains no nodes with tags\: \['non\-existent'\]" + pattern = r"Pipeline contains no nodes with tags: \['non\-existent'\]" with pytest.raises(KedroContextError, match=pattern): dummy_context.run(tags=["non-existent"]) + def test_run_from_nodes(self, dummy_context, dummy_dataframe, caplog): + dummy_context.catalog.save("cars", dummy_dataframe) + dummy_context.run(from_nodes=["node1"]) + + log_msgs = [record.getMessage() for record in caplog.records] + assert "Completed 4 out of 4 tasks" in log_msgs + assert "Running node: node1: identity([cars]) -> [boats]" in log_msgs + assert "Pipeline execution completed successfully." in log_msgs + + def test_run_to_nodes(self, dummy_context, dummy_dataframe, caplog): + dummy_context.catalog.save("cars", dummy_dataframe) + dummy_context.run(to_nodes=["node2"]) + + log_msgs = [record.getMessage() for record in caplog.records] + assert "Completed 2 out of 2 tasks" in log_msgs + assert "Running node: node1: identity([cars]) -> [boats]" in log_msgs + assert "Running node: node2: identity([boats]) -> [trains]" in log_msgs + assert "Running node: node3: identity([trains]) -> [ships]" not in log_msgs + assert "Pipeline execution completed successfully." in log_msgs + + def test_run_with_node_range(self, dummy_context, dummy_dataframe, caplog): + dummy_context.catalog.save("cars", dummy_dataframe) + dummy_context.run(from_nodes=["node1"], to_nodes=["node3"]) + + log_msgs = [record.getMessage() for record in caplog.records] + assert "Completed 3 out of 3 tasks" in log_msgs + assert "Running node: node1: identity([cars]) -> [boats]" in log_msgs + assert "Running node: node2: identity([boats]) -> [trains]" in log_msgs + assert "Running node: node3: identity([trains]) -> [ships]" in log_msgs + assert "Pipeline execution completed successfully." in log_msgs + + def test_run_with_invalid_node_range(self, dummy_context, dummy_dataframe): + dummy_context.catalog.save("cars", dummy_dataframe) + pattern = "Pipeline contains no nodes" + + with pytest.raises(KedroContextError, match=pattern): + dummy_context.run(from_nodes=["node3"], to_nodes=["node1"]) + @pytest.mark.filterwarnings("ignore") def test_run_with_empty_pipeline(self, tmp_path, mocker): class DummyContext(KedroContext): diff --git a/tests/pipeline/test_pipeline.py b/tests/pipeline/test_pipeline.py index fb4e02766c..e99ca257e8 100644 --- a/tests/pipeline/test_pipeline.py +++ b/tests/pipeline/test_pipeline.py @@ -25,22 +25,16 @@ # # See the License for the specific language governing permissions and # limitations under the License. - from functools import wraps from itertools import chain from typing import Callable import pytest -from pytest import fixture import kedro from kedro.io import DataCatalog from kedro.pipeline import Pipeline, node -from kedro.pipeline.pipeline import ( - CircularDependencyError, - OutputNotUniqueError, - _get_transcode_compatible_name, -) +from kedro.pipeline.pipeline import CircularDependencyError, OutputNotUniqueError from kedro.runner import SequentialRunner @@ -61,7 +55,7 @@ def triconcat(input1: str, input2: str, input3: str): return input1 + input2 + input3 # pragma: no cover -@fixture +@pytest.fixture def branchless_pipeline(): return { "nodes": [ @@ -85,7 +79,7 @@ def branchless_pipeline(): } -@fixture +@pytest.fixture def pipeline_list_with_lists(): return { "nodes": [ @@ -119,7 +113,7 @@ def pipeline_list_with_lists(): } -@fixture +@pytest.fixture def pipeline_with_dicts(): return { "nodes": [ @@ -153,7 +147,7 @@ def pipeline_with_dicts(): } -@fixture +@pytest.fixture def free_input_needed_pipeline(): return { "nodes": [ @@ -171,7 +165,7 @@ def free_input_needed_pipeline(): } -@fixture +@pytest.fixture def disjoint_pipeline(): # Two separate pipelines: A->B->C and D->E->F return { @@ -196,7 +190,7 @@ def disjoint_pipeline(): } -@fixture +@pytest.fixture def pipeline_input_duplicated(): return { "nodes": [ @@ -214,7 +208,7 @@ def pipeline_input_duplicated(): } -@fixture +@pytest.fixture def str_node_inputs_list(): return { "nodes": [ @@ -230,58 +224,6 @@ def str_node_inputs_list(): } -@fixture -def pipeline_with_transcoded_names(): - return { - "nodes": [ - node(identity, "A", "B@pandas", name="node1"), - node(identity, "B@pandas", "C", name="node2"), - node(identity, "B@spark", "D", name="node3"), - ], - "expected": [ - {node(identity, "A", "B@pandas", name="node1")}, # no dependency - { - node(identity, "B@pandas", "C", name="node2"), # one dependency - node(identity, "B@spark", "D", name="node3"), - }, - ], - "free_inputs": ["A"], - "outputs": ["C", "D"], - } - - -@fixture -def pipeline_with_duplicate_transcoded_inputs(): - return { - "nodes": [ - node(identity, "A", "B@pandas", name="node1"), - node(biconcat, ["B@spark", "B@pandas"], "C", name="node2"), - ], - "expected": [ - {node(identity, "A", "B@pandas", name="node1")}, - {node(biconcat, ["B@spark", "B@pandas"], "C", name="node2")}, - ], - "free_inputs": ["A"], - "outputs": ["C"], - } - - -@fixture -def pipeline_with_transcoded_free_input(): - return { - "nodes": [ - node(identity, "B@pandas", "C", name="node1"), - node(identity, "C", "D", name="node2"), - ], - "expected": [ - {node(identity, "B@pandas", "C", name="node1")}, - {node(identity, "C", "D", name="node2")}, - ], - "free_inputs": ["B@pandas"], - "outputs": ["D"], - } - - @pytest.fixture( params=[ "branchless_pipeline", @@ -291,9 +233,6 @@ def pipeline_with_transcoded_free_input(): "disjoint_pipeline", "pipeline_input_duplicated", "str_node_inputs_list", - "pipeline_with_transcoded_names", - "pipeline_with_transcoded_free_input", - "pipeline_with_duplicate_transcoded_inputs", ] ) def input_data(request): @@ -366,6 +305,44 @@ def test_combine_same_node(self): assert new_pipeline.outputs() == {"output"} assert {n.name for n in new_pipeline.nodes} == {"a"} + def test_intersection(self): + pipeline1 = Pipeline( + [ + node(biconcat, ["input", "input1"], "output1", name="a"), + node(biconcat, ["input", "input2"], "output2", name="b"), + ] + ) + pipeline2 = Pipeline([node(biconcat, ["input", "input2"], "output2", name="b")]) + new_pipeline = pipeline1 & pipeline2 + assert new_pipeline.inputs() == {"input", "input2"} + assert new_pipeline.outputs() == {"output2"} + assert {n.name for n in new_pipeline.nodes} == {"b"} + + def test_invalid_intersection(self): + p = Pipeline([]) + pattern = r"unsupported operand type\(s\) for &: 'Pipeline' and 'str'" + with pytest.raises(TypeError, match=pattern): + p & "hello" # pylint: disable=pointless-statement + + def test_union(self): + pipeline1 = Pipeline( + [ + node(biconcat, ["input", "input1"], "output1", name="a"), + node(biconcat, ["input", "input2"], "output2", name="b"), + ] + ) + pipeline2 = Pipeline([node(biconcat, ["input", "input2"], "output2", name="b")]) + new_pipeline = pipeline1 | pipeline2 + assert new_pipeline.inputs() == {"input", "input1", "input2"} + assert new_pipeline.outputs() == {"output1", "output2"} + assert {n.name for n in new_pipeline.nodes} == {"a", "b"} + + def test_invalid_union(self): + p = Pipeline([]) + pattern = r"unsupported operand type\(s\) for |: 'Pipeline' and 'str'" + with pytest.raises(TypeError, match=pattern): + p | "hello" # pylint: disable=pointless-statement + def test_empty_case(self): """Empty pipeline is possible""" Pipeline([]) @@ -452,31 +429,6 @@ def test_conflicting_outputs(self): with pytest.raises(OutputNotUniqueError, match=r"\['output'\]"): pipeline1 + new_pipeline # pylint: disable=pointless-statement - def test_transcoded_inputs_outputs(self): - """Nodes must not refer to a dataset without the separator if - it is referenced later on in the catalog. - """ - pattern = "The following datasets are used with transcoding, " - pattern += "but were referenced without the separator: B." - with pytest.raises(ValueError, match=pattern): - Pipeline( - [ - node(identity, "A", "B", name="node1"), - node(identity, "B@pandas", "C", name="node2"), - node(identity, "B@spark", "D", name="node3"), - node(biconcat, ["A", "D"], "E", name="node4"), - ] - ) - - def test_duplicates_in_transcoded_outputs(self): - with pytest.raises(OutputNotUniqueError, match="['B']"): - Pipeline( - [ - node(identity, "A", "B@pandas", name="node1"), - node(identity, "A", "B@spark", name="node2"), - ] - ) - @pytest.fixture def complex_pipeline(pipeline_list_with_lists): @@ -485,221 +437,6 @@ def complex_pipeline(pipeline_list_with_lists): return pipeline -@pytest.fixture -def complex_pipeline_with_transcoding(): - pipeline = Pipeline( - [ - node(triconcat, ["H@node1", "I", "M"], "N", name="node1"), - node(identity, "H@node2", "I", name="node2"), - node(identity, "F", ["G", "M"], name="node3"), - node(identity, "E", ["F", "H@node4"], name="node4"), - node(identity, "D", None, name="node5"), - node(identity, "C", "D", name="node6"), - node(identity, "B@node7", ["C", "E"], name="node7"), - node(identity, "A", ["B@node8", "L"], name="node8"), - node(constant_output, None, "A", name="node9"), - node(identity, "B@node10", None, name="node10"), - ] - ) - return pipeline - - -def _get_node_names(pipeline): - return {n.name for n in pipeline.nodes} - - -class TestComplexPipelineWithTranscoding: - """ - Pipeline used for the underlying test cases is presented - in the diagram below, where numbers are nodes and letters - are datasets. - - +---+ - | | - | 9 | - | | - +-+-+ - | - +-+-+ - | A | - +-+-+ - | - +-+-+ - | | - | 8 | - | | - +-+-+ - +----+ | - | | +---+ | +---+ - | 10 +--+ B +---+---+ L | - | | +-+-+ +---+ - +----+ | - +-+-+ - | | - | 7 | - | | - +-+-+ - | - +---+ | +---+ - | C +---+---+ E | - +-+-+ +-+-+ - | | - +-+-+ +-+-+ - | | | | - | 6 | | 4 | - | | | | - +-+-+ +-+-+ - | | - +-+-+ +---+ | +---+ - | D | | F +-+-+ H +-+ - +-+-+ +-+-+ +-+-+ | - | | | | - +-+-+ +-+-+ | +-+-+ - | | | | | | | - | 5 | | 3 | | | 2 | - | | | | | | | - +---+ +-+-+ | +-+-+ - | | | - +---+ | +---+ | +-+-+ - | G +-+-+ M | | | I | - +---+ +-+-+ | +-+-+ - | | | - +-------+ - | - +-+-+ - | | - | 1 | - | | - +-+-+ - | - +-+-+ - | N | - +---+ - - """ - - def test_only_nodes_with_inputs(self, complex_pipeline_with_transcoding): - p = complex_pipeline_with_transcoding.only_nodes_with_inputs("H@node2") - assert _get_node_names(p) == {"node2"} - - def test_only_nodes_with_inputs_transcoded_name( - self, complex_pipeline_with_transcoding - ): - p = complex_pipeline_with_transcoding.only_nodes_with_inputs("H") - assert _get_node_names(p) == {"node1", "node2"} - - def test_only_nodes_with_inputs_duplicate_transcoded_names( - self, complex_pipeline_with_transcoding - ): - p1 = complex_pipeline_with_transcoding.only_nodes_with_inputs("H", "H@node1") - p2 = complex_pipeline_with_transcoding.only_nodes_with_inputs("H") - - assert _get_node_names(p1) == _get_node_names(p2) - - def test_only_nodes_with_inputs_inexistent_inputs( - self, complex_pipeline_with_transcoding - ): - pattern = r"Pipeline does not contain data_sets named \['Z'\]" - with pytest.raises(ValueError, match=pattern): - complex_pipeline_with_transcoding.only_nodes_with_inputs("Z") - - def test_from_inputs(self, complex_pipeline_with_transcoding): - p = complex_pipeline_with_transcoding.from_inputs("H@node1") - assert _get_node_names(p) == {"node1"} - - p = complex_pipeline_with_transcoding.from_inputs("H@node2") - assert _get_node_names(p) == {"node1", "node2"} - - def test_from_inputs_traverses_transcoded(self, complex_pipeline_with_transcoding): - p = complex_pipeline_with_transcoding.from_inputs("E") - assert _get_node_names(p) == {"node4", "node3", "node2", "node1"} - - def test_from_inputs_traverses_transcoded_on_correct_branch( - self, complex_pipeline_with_transcoding - ): - """Test that from_inputs intercepts only the correct branch at top layer (B@node7), - but traverses transcoded nodes (H) found further down the graph.""" - - p = complex_pipeline_with_transcoding.from_inputs("B@node7", "L") - assert _get_node_names(p) == {"node{}".format(i) for i in range(1, 8)} - - def test_from_inputs_transcode_compatible_name( - self, complex_pipeline_with_transcoding - ): - p = complex_pipeline_with_transcoding.from_inputs("H") - assert _get_node_names(p) == {"node1", "node2"} - - def test_from_inputs_duplicate_transcoded_names( - self, complex_pipeline_with_transcoding - ): - p1 = complex_pipeline_with_transcoding.from_inputs("H", "H@node4") - p2 = complex_pipeline_with_transcoding.from_inputs("H") - - assert _get_node_names(p1) == _get_node_names(p2) - - def test_from_inputs_inexistent_inputs(self, complex_pipeline_with_transcoding): - pattern = r"Pipeline does not contain data_sets named \['Z'\]" - with pytest.raises(ValueError, match=pattern): - complex_pipeline_with_transcoding.from_inputs("Z") - - def test_only_nodes_with_outputs(self, complex_pipeline_with_transcoding): - p1 = complex_pipeline_with_transcoding.only_nodes_with_outputs("H@node4") - p2 = complex_pipeline_with_transcoding.only_nodes_with_outputs("H@node2") - - assert _get_node_names(p1) == {"node4"} - assert _get_node_names(p2) == set() - - def test_only_nodes_with_outputs_transcode_compatible_name( - self, complex_pipeline_with_transcoding - ): - p = complex_pipeline_with_transcoding.only_nodes_with_outputs("H") - assert _get_node_names(p) == {"node4"} - - def test_only_nodes_with_outputs_duplicate_transcoded_names( - self, complex_pipeline_with_transcoding - ): - p1 = complex_pipeline_with_transcoding.only_nodes_with_outputs("H", "H@node4") - p2 = complex_pipeline_with_transcoding.only_nodes_with_outputs("H") - - assert _get_node_names(p1) == _get_node_names(p2) - - def test_only_nodes_with_outputs_inexistent_outputs( - self, complex_pipeline_with_transcoding - ): - pattern = r"Pipeline does not contain data_sets named \['Z'\]" - with pytest.raises(ValueError, match=pattern): - complex_pipeline_with_transcoding.only_nodes_with_outputs("Z") - - def test_to_outputs(self, complex_pipeline_with_transcoding): - p1 = complex_pipeline_with_transcoding.to_outputs("H@node4") - p2 = complex_pipeline_with_transcoding.to_outputs("H@node2") - - assert _get_node_names(p1) == {"node4", "node7", "node8", "node9"} - assert _get_node_names(p2) == set() - - def test_to_outputs_traverses_transcoded(self, complex_pipeline_with_transcoding): - """Test that to_outputs traverses transcoded nodes (B) found further up the graph.""" - p = complex_pipeline_with_transcoding.to_outputs("H@node4", "D") - assert _get_node_names(p) == {"node4", "node6", "node7", "node8", "node9"} - - def test_to_outputs_transcoded_name(self, complex_pipeline_with_transcoding): - p = complex_pipeline_with_transcoding.to_outputs("H") - assert _get_node_names(p) == {"node4", "node7", "node8", "node9"} - - def test_to_outputs_duplicate_transcoded_names( - self, complex_pipeline_with_transcoding - ): - p1 = complex_pipeline_with_transcoding.to_outputs("H", "H@node4") - p2 = complex_pipeline_with_transcoding.to_outputs("H") - - assert _get_node_names(p1) == _get_node_names(p2) - - def test_to_outputs_inexistent_outputs(self, complex_pipeline_with_transcoding): - pattern = r"Pipeline does not contain data_sets named \['Z'\]" - with pytest.raises(ValueError, match=pattern): - complex_pipeline_with_transcoding.to_outputs("Z") - - class TestComplexPipeline: def test_from_inputs(self, complex_pipeline): """F and H are inputs of node1, node2 and node3.""" @@ -940,24 +677,6 @@ def get_nodes_with_tags(*tags): assert get_nodes_with_tags(*tags) == expected_nodes -class TestGetTranscodeCompatibleName: - def test_get_transcode_compatible_name(self): - dataset_name = "mydata@pandas" - assert _get_transcode_compatible_name(dataset_name) == "mydata" - - def test_get_transcode_compatible_name_no_separator(self): - dataset_name = "mydata" - assert _get_transcode_compatible_name(dataset_name) == dataset_name - - def test_get_transcode_compatible_name_multiple_separators(self): - dataset_name = "mydata@formA@formB" - pattern = "Expected maximum 1 transcoding separator, " - pattern += "found 2 instead: 'mydata@formA@formB'" - - with pytest.raises(ValueError, match=pattern): - _get_transcode_compatible_name(dataset_name) - - def test_pipeline_to_json(input_data): nodes = input_data["nodes"] json_rep = Pipeline(nodes).to_json() diff --git a/tests/pipeline/test_pipeline_with_transcoding.py b/tests/pipeline/test_pipeline_with_transcoding.py new file mode 100644 index 0000000000..4c24552d64 --- /dev/null +++ b/tests/pipeline/test_pipeline_with_transcoding.py @@ -0,0 +1,394 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +from itertools import chain + +import pytest + +import kedro +from kedro.pipeline import Pipeline, node +from kedro.pipeline.pipeline import OutputNotUniqueError, _get_transcode_compatible_name + + +# Different dummy func based on the number of arguments +def constant_output(): + return "output" # pragma: no cover + + +def identity(input1: str): + return input1 # pragma: no cover + + +def biconcat(input1: str, input2: str): + return input1 + input2 # pragma: no cover + + +def triconcat(input1: str, input2: str, input3: str): + return input1 + input2 + input3 # pragma: no cover + + +def _get_node_names(pipeline): + return {n.name for n in pipeline.nodes} + + +@pytest.fixture +def pipeline_with_transcoded_names(): + return { + "nodes": [ + node(identity, "A", "B@pandas", name="node1"), + node(identity, "B@pandas", "C", name="node2"), + node(identity, "B@spark", "D", name="node3"), + ], + "expected": [ + {node(identity, "A", "B@pandas", name="node1")}, # no dependency + { + node(identity, "B@pandas", "C", name="node2"), # one dependency + node(identity, "B@spark", "D", name="node3"), + }, + ], + "free_inputs": ["A"], + "outputs": ["C", "D"], + } + + +@pytest.fixture +def pipeline_with_transcoded_free_input(): + return { + "nodes": [ + node(identity, "B@pandas", "C", name="node1"), + node(identity, "C", "D", name="node2"), + ], + "expected": [ + {node(identity, "B@pandas", "C", name="node1")}, + {node(identity, "C", "D", name="node2")}, + ], + "free_inputs": ["B@pandas"], + "outputs": ["D"], + } + + +@pytest.fixture +def pipeline_with_duplicate_transcoded_inputs(): + return { + "nodes": [ + node(identity, "A", "B@pandas", name="node1"), + node(biconcat, ["B@spark", "B@pandas"], "C", name="node2"), + ], + "expected": [ + {node(identity, "A", "B@pandas", name="node1")}, + {node(biconcat, ["B@spark", "B@pandas"], "C", name="node2")}, + ], + "free_inputs": ["A"], + "outputs": ["C"], + } + + +@pytest.fixture +def complex_pipeline(): + pipeline = Pipeline( + [ + node(triconcat, ["H@node1", "I", "M"], "N", name="node1"), + node(identity, "H@node2", "I", name="node2"), + node(identity, "F", ["G", "M"], name="node3"), + node(identity, "E", ["F", "H@node4"], name="node4"), + node(identity, "D", None, name="node5"), + node(identity, "C", "D", name="node6"), + node(identity, "B@node7", ["C", "E"], name="node7"), + node(identity, "A", ["B@node8", "L"], name="node8"), + node(constant_output, None, "A", name="node9"), + node(identity, "B@node10", None, name="node10"), + ] + ) + return pipeline + + +@pytest.fixture( + params=[ + "pipeline_with_transcoded_names", + "pipeline_with_transcoded_free_input", + "pipeline_with_duplicate_transcoded_inputs", + ] +) +def input_data(request): + return request.getfixturevalue(request.param) + + +class TestValidPipeline: + def test_grouped_nodes(self, input_data): + """Check if grouped_nodes func groups the nodes correctly""" + nodes_input = input_data["nodes"] + expected = input_data["expected"] + pipeline = Pipeline(nodes_input) + + grouped = pipeline.grouped_nodes + # Flatten a list of grouped nodes + assert pipeline.nodes == list(chain.from_iterable(grouped)) + # Check each grouped node matches with expected group + assert all(g == e for g, e in zip(grouped, expected)) + + def test_free_input(self, input_data): + nodes = input_data["nodes"] + inputs = input_data["free_inputs"] + + pipeline = Pipeline(nodes) + + assert pipeline.inputs() == set(inputs) + + def test_outputs(self, input_data): + nodes = input_data["nodes"] + outputs = input_data["outputs"] + + pipeline = Pipeline(nodes) + + assert pipeline.outputs() == set(outputs) + + def test_pipeline_to_json(self, input_data): + nodes = input_data["nodes"] + json_rep = Pipeline(nodes).to_json() + for pipeline_node in nodes: + assert pipeline_node.name in json_rep + assert all(node_input in json_rep for node_input in pipeline_node.inputs) + assert all(node_output in json_rep for node_output in pipeline_node.outputs) + + assert kedro.__version__ in json_rep + + +class TestInvalidPipeline: + def test_transcoded_inputs_outputs(self): + """Nodes must not refer to a dataset without the separator if + it is referenced later on in the catalog. + """ + pattern = "The following datasets are used with transcoding, " + pattern += "but were referenced without the separator: B." + with pytest.raises(ValueError, match=pattern): + Pipeline( + [ + node(identity, "A", "B", name="node1"), + node(identity, "B@pandas", "C", name="node2"), + node(identity, "B@spark", "D", name="node3"), + node(biconcat, ["A", "D"], "E", name="node4"), + ] + ) + + def test_duplicates_in_transcoded_outputs(self): + with pytest.raises(OutputNotUniqueError, match="['B']"): + Pipeline( + [ + node(identity, "A", "B@pandas", name="node1"), + node(identity, "A", "B@spark", name="node2"), + ] + ) + + +class TestComplexPipelineWithTranscoding: + """ + Pipeline used for the underlying test cases is presented + in the diagram below, where numbers are nodes and letters + are datasets. + + +---+ + | | + | 9 | + | | + +-+-+ + | + +-+-+ + | A | + +-+-+ + | + +-+-+ + | | + | 8 | + | | + +-+-+ + +----+ | + | | +---+ | +---+ + | 10 +--+ B +---+---+ L | + | | +-+-+ +---+ + +----+ | + +-+-+ + | | + | 7 | + | | + +-+-+ + | + +---+ | +---+ + | C +---+---+ E | + +-+-+ +-+-+ + | | + +-+-+ +-+-+ + | | | | + | 6 | | 4 | + | | | | + +-+-+ +-+-+ + | | + +-+-+ +---+ | +---+ + | D | | F +-+-+ H +-+ + +-+-+ +-+-+ +-+-+ | + | | | | + +-+-+ +-+-+ | +-+-+ + | | | | | | | + | 5 | | 3 | | | 2 | + | | | | | | | + +---+ +-+-+ | +-+-+ + | | | + +---+ | +---+ | +-+-+ + | G +-+-+ M | | | I | + +---+ +-+-+ | +-+-+ + | | | + +-------+ + | + +-+-+ + | | + | 1 | + | | + +-+-+ + | + +-+-+ + | N | + +---+ + + """ + + def test_only_nodes_with_inputs(self, complex_pipeline): + p = complex_pipeline.only_nodes_with_inputs("H@node2") + assert _get_node_names(p) == {"node2"} + + def test_only_nodes_with_inputs_transcoded_name(self, complex_pipeline): + p = complex_pipeline.only_nodes_with_inputs("H") + assert _get_node_names(p) == {"node1", "node2"} + + def test_only_nodes_with_inputs_duplicate_transcoded_names(self, complex_pipeline): + p1 = complex_pipeline.only_nodes_with_inputs("H", "H@node1") + p2 = complex_pipeline.only_nodes_with_inputs("H") + + assert _get_node_names(p1) == _get_node_names(p2) + + def test_only_nodes_with_inputs_inexistent_inputs(self, complex_pipeline): + pattern = r"Pipeline does not contain data_sets named \['Z'\]" + with pytest.raises(ValueError, match=pattern): + complex_pipeline.only_nodes_with_inputs("Z") + + def test_from_inputs(self, complex_pipeline): + p = complex_pipeline.from_inputs("H@node1") + assert _get_node_names(p) == {"node1"} + + p = complex_pipeline.from_inputs("H@node2") + assert _get_node_names(p) == {"node1", "node2"} + + def test_from_inputs_traverses_transcoded(self, complex_pipeline): + p = complex_pipeline.from_inputs("E") + assert _get_node_names(p) == {"node4", "node3", "node2", "node1"} + + def test_from_inputs_traverses_transcoded_on_correct_branch(self, complex_pipeline): + """Test that from_inputs intercepts only the correct branch at top layer (B@node7), + but traverses transcoded nodes (H) found further down the graph.""" + + p = complex_pipeline.from_inputs("B@node7", "L") + assert _get_node_names(p) == {"node{}".format(i) for i in range(1, 8)} + + def test_from_inputs_transcode_compatible_name(self, complex_pipeline): + p = complex_pipeline.from_inputs("H") + assert _get_node_names(p) == {"node1", "node2"} + + def test_from_inputs_duplicate_transcoded_names(self, complex_pipeline): + p1 = complex_pipeline.from_inputs("H", "H@node4") + p2 = complex_pipeline.from_inputs("H") + + assert _get_node_names(p1) == _get_node_names(p2) + + def test_from_inputs_inexistent_inputs(self, complex_pipeline): + pattern = r"Pipeline does not contain data_sets named \['Z'\]" + with pytest.raises(ValueError, match=pattern): + complex_pipeline.from_inputs("Z") + + def test_only_nodes_with_outputs(self, complex_pipeline): + p1 = complex_pipeline.only_nodes_with_outputs("H@node4") + p2 = complex_pipeline.only_nodes_with_outputs("H@node2") + + assert _get_node_names(p1) == {"node4"} + assert _get_node_names(p2) == set() + + def test_only_nodes_with_outputs_transcode_compatible_name(self, complex_pipeline): + p = complex_pipeline.only_nodes_with_outputs("H") + assert _get_node_names(p) == {"node4"} + + def test_only_nodes_with_outputs_duplicate_transcoded_names(self, complex_pipeline): + p1 = complex_pipeline.only_nodes_with_outputs("H", "H@node4") + p2 = complex_pipeline.only_nodes_with_outputs("H") + + assert _get_node_names(p1) == _get_node_names(p2) + + def test_only_nodes_with_outputs_inexistent_outputs(self, complex_pipeline): + pattern = r"Pipeline does not contain data_sets named \['Z'\]" + with pytest.raises(ValueError, match=pattern): + complex_pipeline.only_nodes_with_outputs("Z") + + def test_to_outputs(self, complex_pipeline): + p1 = complex_pipeline.to_outputs("H@node4") + p2 = complex_pipeline.to_outputs("H@node2") + + assert _get_node_names(p1) == {"node4", "node7", "node8", "node9"} + assert _get_node_names(p2) == set() + + def test_to_outputs_traverses_transcoded(self, complex_pipeline): + """Test that to_outputs traverses transcoded nodes (B) found further up the graph.""" + p = complex_pipeline.to_outputs("H@node4", "D") + assert _get_node_names(p) == {"node4", "node6", "node7", "node8", "node9"} + + def test_to_outputs_transcoded_name(self, complex_pipeline): + p = complex_pipeline.to_outputs("H") + assert _get_node_names(p) == {"node4", "node7", "node8", "node9"} + + def test_to_outputs_duplicate_transcoded_names(self, complex_pipeline): + p1 = complex_pipeline.to_outputs("H", "H@node4") + p2 = complex_pipeline.to_outputs("H") + + assert _get_node_names(p1) == _get_node_names(p2) + + def test_to_outputs_inexistent_outputs(self, complex_pipeline): + pattern = r"Pipeline does not contain data_sets named \['Z'\]" + with pytest.raises(ValueError, match=pattern): + complex_pipeline.to_outputs("Z") + + +class TestGetTranscodeCompatibleName: + def test_get_transcode_compatible_name(self): + dataset_name = "mydata@pandas" + assert _get_transcode_compatible_name(dataset_name) == "mydata" + + def test_get_transcode_compatible_name_no_separator(self): + dataset_name = "mydata" + assert _get_transcode_compatible_name(dataset_name) == dataset_name + + def test_get_transcode_compatible_name_multiple_separators(self): + dataset_name = "mydata@formA@formB" + pattern = "Expected maximum 1 transcoding separator, " + pattern += "found 2 instead: 'mydata@formA@formB'" + + with pytest.raises(ValueError, match=pattern): + _get_transcode_compatible_name(dataset_name) From f8ba2b944487cdf90470ee8db78c3cbfa7368740 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Fri, 26 Jul 2019 15:07:25 +0100 Subject: [PATCH 46/83] [KED-897] Add Kedro version compatibility check between Kedro project and package (#146) --- kedro/context/context.py | 34 +++++++++++++++- tests/context/test_context.py | 73 ++++++++++++++++++++++++++++------- 2 files changed, 92 insertions(+), 15 deletions(-) diff --git a/kedro/context/context.py b/kedro/context/context.py index 164a72b7f7..41d6c39e27 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -36,6 +36,7 @@ from typing import Any, Dict, Iterable, Union from warnings import warn +from kedro import __version__ from kedro.config import ConfigLoader, MissingConfigException from kedro.io import DataCatalog from kedro.pipeline import Pipeline @@ -310,12 +311,41 @@ def load_context(project_path: Union[str, Path], **kwargs) -> KedroContext: sys.path.append(str(project_path)) kedro_cli = importlib.import_module("kedro_cli") + + context = kedro_cli.__get_kedro_context__(**kwargs) # type: ignore + check_context_version(context) + if os.getcwd() != str(project_path): warn("Changing the current working directory to {}".format(str(project_path))) os.chdir(str(project_path)) # Move to project root - result = kedro_cli.__get_kedro_context__(**kwargs) # type: ignore _LOADED_PATH = project_path - return result + return context + + +def check_context_version(context: Union[Dict, KedroContext]) -> None: + """ Check if the Kedro package version and Kedro template version match. + Args: + context: Instance of KedroContext from Kedro template. + + Raises: + KedroContextError: If there is a mismatch + between Kedro project version and package version. + + """ + + def _error_message(context_version): + return ( + "Your Kedro project version {} does not match Kedro package " + "version {} you are running. Make sure to update your project template. " + "See https://github.com/quantumblacklabs/kedro/blob/master/RELEASE.md for how to " + "migrate your Kedro project." + ).format(context_version, __version__) + + if not isinstance(context, KedroContext): + raise KedroContextError(_error_message(context["project_version"])) + # check the match for major and minor version (skip patch version) + if context.project_version.split(".")[:2] != __version__.split(".")[:2]: + raise KedroContextError(_error_message(context.project_version)) class KedroContextError(Exception): diff --git a/tests/context/test_context.py b/tests/context/test_context.py index f8b768b98b..420e3fd682 100644 --- a/tests/context/test_context.py +++ b/tests/context/test_context.py @@ -30,6 +30,7 @@ import json import os import sys +import textwrap from pathlib import Path from typing import Dict @@ -38,7 +39,9 @@ import yaml from pandas.util.testing import assert_frame_equal +from kedro import __version__ from kedro.context import KedroContext, KedroContextError, load_context +from kedro.context.context import check_context_version from kedro.pipeline import Pipeline, node from kedro.runner import ParallelRunner, SequentialRunner @@ -146,7 +149,8 @@ def dummy_dataframe(): def restore_cwd(): cwd_ = os.getcwd() yield - os.chdir(cwd_) + if cwd_ != os.getcwd(): + os.chdir(cwd_) @pytest.fixture @@ -155,10 +159,16 @@ def fake_project(tmp_path): project.mkdir() kedro_cli = project / "kedro_cli.py" script = """ -def __get_kedro_context__(): - return "fake" - """ - kedro_cli.write_text(script, encoding="utf-8") + class Fake: + project_name = "fake" + project_version = "{}" + + def __get_kedro_context__(): + return Fake() + """.format( + __version__ + ) + kedro_cli.write_text(textwrap.dedent(script), encoding="utf-8") yield project @@ -168,7 +178,7 @@ def identity(input1: str): class DummyContext(KedroContext): project_name = "bob" - project_version = "fred" + project_version = __version__ @property def pipeline(self) -> Pipeline: @@ -199,7 +209,7 @@ def test_project_name(self, dummy_context): assert dummy_context.project_name == "bob" def test_project_version(self, dummy_context): - assert dummy_context.project_version == "fred" + assert dummy_context.project_version == __version__ def test_project_path(self, dummy_context, tmp_path): assert str(dummy_context.project_path) == str(tmp_path.resolve()) @@ -373,7 +383,7 @@ def test_run_with_invalid_node_range(self, dummy_context, dummy_dataframe): def test_run_with_empty_pipeline(self, tmp_path, mocker): class DummyContext(KedroContext): project_name = "bob" - project_version = "fred" + project_version = __version__ @property def pipeline(self) -> Pipeline: @@ -382,24 +392,61 @@ def pipeline(self) -> Pipeline: mocker.patch("logging.config.dictConfig") dummy_context = DummyContext(str(tmp_path)) assert dummy_context.project_name == "bob" - assert dummy_context.project_version == "fred" + assert dummy_context.project_version == __version__ pattern = "Pipeline contains no nodes" with pytest.raises(KedroContextError, match=pattern): dummy_context.run() -def test_load_context(fake_project, tmp_path): +def test_load_context(fake_project, tmp_path, mocker): """Test getting project context""" + mocker.patch("kedro.context.context.check_context_version") result = load_context(str(fake_project)) - assert result == "fake" + assert result.project_name == "fake" + assert result.project_version == __version__ assert str(fake_project.resolve()) in sys.path assert os.getcwd() == str(fake_project.resolve()) other_path = tmp_path / "other" other_path.mkdir() pattern = ( - "Cannot load context for `{}`, since another project " - "`.*` has already been loaded".format(other_path.resolve()) + r"Cannot load context for `{}`, since another project " + r"`.*` has already been loaded".format(other_path.resolve()) ) with pytest.raises(KedroContextError, match=pattern): load_context(str(other_path)) + + +def test_valid_context_version(mocker): + mocked_context = mocker.patch("kedro.context.KedroContext", autospec=True) + context = mocked_context("fake_path") + context.project_version = __version__ + check_context_version(context) + + +def test_invalid_context_version_dict(): + context_dict = {"project_version": __version__} + pattern = ( + r"Your Kedro project version {} does not match " + r"Kedro package version {} you are running. ".format( + context_dict["project_version"], __version__ + ) + ) + with pytest.raises(KedroContextError, match=pattern): + check_context_version(context_dict) + + +@pytest.mark.parametrize("project_version", ["0.13.0", "10.0", "101.1", "100.0", "-0"]) +def test_invalid_context_version(mocker, project_version): + mocked_context = mocker.patch("kedro.context.KedroContext", autospec=True) + context = mocked_context("fake_path") + context.project_version = project_version + + pattern = ( + r"Your Kedro project version {} does not match " + r"Kedro package version {} you are running. ".format( + context.project_version, __version__ + ) + ) + with pytest.raises(KedroContextError, match=pattern): + check_context_version(context) From cfce30baa2f3c416f2836d26e610dea41eabf9d6 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Tue, 30 Jul 2019 11:10:09 +0100 Subject: [PATCH 47/83] Fix indentation in test_context.py (#161) --- tests/context/test_context.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/context/test_context.py b/tests/context/test_context.py index 420e3fd682..8669d49f3f 100644 --- a/tests/context/test_context.py +++ b/tests/context/test_context.py @@ -159,13 +159,13 @@ def fake_project(tmp_path): project.mkdir() kedro_cli = project / "kedro_cli.py" script = """ - class Fake: - project_name = "fake" - project_version = "{}" + class Fake: + project_name = "fake" + project_version = "{}" - def __get_kedro_context__(): - return Fake() - """.format( + def __get_kedro_context__(): + return Fake() + """.format( __version__ ) kedro_cli.write_text(textwrap.dedent(script), encoding="utf-8") From 2763f34b92841df76b76a5bfab7d52083170a07e Mon Sep 17 00:00:00 2001 From: Yetunde Dada <43755008+yetudada@users.noreply.github.com> Date: Wed, 31 Jul 2019 14:21:59 -0400 Subject: [PATCH 48/83] [KED-819] Update Kedro-Airflow sections in docs (#151) * Update Kedro-Airflow references on docs --- README.md | 2 +- docs/source/03_tutorial/05_package_a_project.md | 4 ++++ docs/source/04_user_guide/09_developing_plugins.md | 1 + docs/source/06_resources/01_faq.md | 2 +- 4 files changed, 7 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 3d509aa368..a8057cf16f 100644 --- a/README.md +++ b/README.md @@ -63,7 +63,7 @@ For more detailed installation instructions, including how to setup Python virtu - A plugin system that injects commands into the Kedro command line interface (CLI) - List of officially supported plugins: - - (_coming soon_) Kedro-Airflow, making it easy to prototype your data pipeline in Kedro before deploying to [Airflow](https://github.com/apache/airflow), a workflow scheduler + - [Kedro-Airflow](https://github.com/quantumblacklabs/kedro-airflow), making it easy to prototype your data pipeline in Kedro before deploying to [Airflow](https://github.com/apache/airflow), a workflow scheduler - [Kedro-Docker](https://github.com/quantumblacklabs/kedro-docker), a tool for packaging and shipping Kedro projects within containers - Kedro can be deployed locally, on-premise and cloud (AWS, Azure and GCP) servers, or clusters (EMR, Azure HDinsight, GCP and Databricks) diff --git a/docs/source/03_tutorial/05_package_a_project.md b/docs/source/03_tutorial/05_package_a_project.md index b7a77595b4..d76e70c313 100644 --- a/docs/source/03_tutorial/05_package_a_project.md +++ b/docs/source/03_tutorial/05_package_a_project.md @@ -15,8 +15,12 @@ This will create documentation based on the code structure of your project. Docu You can package your project by running `kedro package` from the command line. This will create one `.egg` file and one `.whl` file within the `src/dist/` folder of your project, which are Python packaging formats. For further information about packaging for Python, documentation is provided [here](https://packaging.python.org/overview/). +## Extend your project + You can also check out [Kedro-Docker](https://github.com/quantumblacklabs/kedro-docker), an officially supported Kedro plugin for packaging and shipping Kedro projects within [Docker](https://www.docker.com/) containers. +We also support converting your Kedro project into an Airflow project with the [Kedro-Airflow](https://github.com/quantumblacklabs/kedro-airflow) plugin. + ## What is next? You have now successfully built a project along with its documentation and packaged it using one of standard Python distribution formats. You may choose to open-source your project and make it available to a wider community of users and contributors. For further steps we advise you to consult [this GitHub guide](https://github.com/open-source), [PyPI help](https://pypi.org/help/), a [Read the Docs tutorial](https://docs.readthedocs.io/en/latest/intro/getting-started-with-sphinx.html#), and a guide to [Open Source Licenses & Standards](https://opensource.org/licenses). diff --git a/docs/source/04_user_guide/09_developing_plugins.md b/docs/source/04_user_guide/09_developing_plugins.md index e5b91829d9..c602b82138 100644 --- a/docs/source/04_user_guide/09_developing_plugins.md +++ b/docs/source/04_user_guide/09_developing_plugins.md @@ -96,4 +96,5 @@ kedro to_json ## Supported plugins - [Kedro-Docker](https://github.com/quantumblacklabs/kedro-docker), a tool for packaging and shipping Kedro projects within containers +- [Kedro-Airflow](https://github.com/quantumblacklabs/kedro-airflow), a tool for converting your Kedro project into an Airflow project - [Kedro-Viz](https://github.com/quantumblacklabs/kedro-viz), a tool for visualising your Kedro pipelines diff --git a/docs/source/06_resources/01_faq.md b/docs/source/06_resources/01_faq.md index dd9b0e733b..6f0296756a 100644 --- a/docs/source/06_resources/01_faq.md +++ b/docs/source/06_resources/01_faq.md @@ -27,7 +27,7 @@ Data pipelines consist of extract-transform-load (ETL) workflows. If we understa ### Kedro vs workflow schedulers -We see Airflow and Luigi as complementary frameworks: Airflow and Luigi are tools that handle deployment, scheduling, monitoring and alerting. Kedro is the _worker_ (with built-in sequential and parallel runners). It doesn't have to rely on a scheduler, but instead executes a series of tasks, and then reports to the Airflow and Luigi _managers_. We are building integrations for both tools and intend these integrations to offer a faster prototyping time and reduce the barriers to entry associated with moving pipelines to both workflow schedulers. +Kedro is not a workflow scheduler like Airflow and Luigi. Kedro makes it easy to prototype your data pipeline, while Airflow and Luigi are complementary frameworks that are great at managing deployment, scheduling, monitoring and alerting. A Kedro pipeline is like a machine that builds a car part. Airflow and Luigi tell the different Kedro machines to switch on or off in order to work together to produce a car. We have built a [Kedro-Airflow](https://github.com/quantumblacklabs/kedro-airflow/) plugin, providing faster prototyping time and reducing the barriers to entry associated with moving pipelines to Airflow. ### Kedro vs other ETL frameworks From 0e453d03d9c8ec6952e1bb7898385590a78c9981 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lorena=20B=C4=83lan?= Date: Thu, 1 Aug 2019 09:17:58 +0100 Subject: [PATCH 49/83] [KED-802] Allow users to run Kedro commands from Jupyter Notebooks (#166) --- docs/source/04_user_guide/10_ipython.md | 31 +++++++++++++++--- .../images/jupyter-notebook-ch10-3.png | Bin 0 -> 544395 bytes 2 files changed, 26 insertions(+), 5 deletions(-) create mode 100644 docs/source/04_user_guide/images/jupyter-notebook-ch10-3.png diff --git a/docs/source/04_user_guide/10_ipython.md b/docs/source/04_user_guide/10_ipython.md index 9eeb780ae9..044da8844a 100644 --- a/docs/source/04_user_guide/10_ipython.md +++ b/docs/source/04_user_guide/10_ipython.md @@ -27,8 +27,15 @@ With `context`, you can access the following variables and methods - `tags`: An optional list of node tags which should be used to filter the nodes of the ``Pipeline``. If specified, only the nodes containing *any* of these tags will be added to the ``Pipeline`` - - `runner`: An optional parameter specifying the runner _instance_ that you want to run + - `runner`: An optional parameter specifying the runner _instance_ that you want to run the pipeline with + - `node_names`: An optional list of node names which should be used to + filter the nodes of the ``Pipeline``. If specified, only the nodes + with these names will be run. + - `from_nodes`: An optional list of node names which should be used as a + starting point of the new ``Pipeline``. + - `to_nodes`: An optional list of node names which should be used as an + end point of the new ``Pipeline``. ## Loading `DataCatalog` in IPython @@ -87,12 +94,11 @@ jupyter notebook And then add the following code in a notebook cell: ```python +from pathlib import Path from kedro.context import load_context -import os -proj_path = os.getcwd() -context_class = load_context(proj_path) -context = context_class(proj_path) +proj_path = Path.cwd() +context = load_context(proj_path) df = context.io.load("example_iris_data") df.head() ``` @@ -105,6 +111,21 @@ You should be able to see the first 5 rows of the loaded dataset as follows: If you see an error message in a notebook cell, you can see what went wrong by using `print(startup_error)`, where `startup_error` is available as a variable in Python.
    When you add new datasets to your `catalog.yml` file you need to reload Kedro's session by running `%reload_kedro` in your cell. +You can also run your Kedro pipeline by using `context.run()`, which provides the same functionality as the CLI command `kedro run`. You can try this out by typing the following in a notebook cell: + +```python +from pathlib import Path +from kedro.context import load_context + +proj_path = Path.cwd() +context = load_context(proj_path) +context.run() +``` + +You should be able to see the logging output as follows: + +![](images/jupyter-notebook-ch10-3.png) + ## Extras There are optional extra scripts that can help improve your Kedro experience for certain use cases. 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    %Of^;|--zm6rH$`ie_e_21{k71~*t81MQTmuvts999s|NQ(Ay5_ky?{;%} zQd3hie%?w7+-5}_YE2e}$Nrov(vJG_=5W^5M2Ys+T)ll11*f23n%!c{I}%c0banRV zKGGT~p8GRjXPZB&*zcbLaYd3yG{W9897e5da&uYCKf|h9TITQKd;k9YUoRq1P%?=s zWhMT;kAMGy_CSK_A2 Date: Thu, 1 Aug 2019 11:57:00 +0100 Subject: [PATCH 50/83] [KED-901] Introduce pre-commit hooks and cheks (#157) --- .circleci/config.yml | 5 +- .isort.cfg | 1 - .pre-commit-config.yaml | 75 +++++++++++++++++++ .readthedocs.yml | 2 - CONTRIBUTING.md | 29 ++++++- Makefile | 19 +++-- README.md | 4 +- docs/README.md | 14 ++-- docs/conf.py | 2 +- docs/kedro_logo.svg | 2 +- docs/source/02_getting_started/02_install.md | 3 - .../03_tutorial/05_package_a_project.md | 2 +- .../04_user_guide/05_nodes_and_pipelines.md | 2 +- docs/source/04_user_guide/07_advanced_io.md | 2 +- docs/source/04_user_guide/10_ipython.md | 1 - .../11_working_with_databricks.md | 2 +- docs/source/05_api_docs/kedro.pipeline.rst | 1 - docs/source/06_resources/01_faq.md | 1 - docs/source/css/qb1-sphinx-rtd.css | 2 +- extras/README.md | 2 +- features/pipeline.feature | 2 - features/run.feature | 1 - kedro/contrib/README.md | 6 +- .../contrib/io/catalog_with_default/README.md | 5 +- kedro/contrib/io/pyspark/README.md | 10 +-- .../{{ cookiecutter.repo_name }}/README.md | 2 +- .../conf/base/credentials.yml | 5 +- .../src/requirements.txt | 4 +- .../src/tests/test_run.py | 1 - requirements.txt | 14 ++-- setup.py | 7 +- test_requirements.txt | 29 +++---- tools/black_runner.py | 52 +++++++++++++ tools/license_and_headers.py | 1 - 34 files changed, 230 insertions(+), 80 deletions(-) create mode 100644 .pre-commit-config.yaml create mode 100644 tools/black_runner.py diff --git a/.circleci/config.yml b/.circleci/config.yml index a4997cd97e..58e657324a 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -22,8 +22,11 @@ jobs: # Install requirements pip install -r requirements.txt -U + # venv is required for some pre-commit hooks + conda install -y virtualenv + # Install test requirements - pip install -r test_requirements.txt -U + make install-pre-commit - run: name: Run pylint and flake8 command: | diff --git a/.isort.cfg b/.isort.cfg index 3453115e06..0fb28acd32 100644 --- a/.isort.cfg +++ b/.isort.cfg @@ -6,6 +6,5 @@ include_trailing_comma=True force_grid_wrap=0 use_parentheses=True line_length=88 -skip_glob=**/template/** known_first_party=features,kedro,tests default_section=THIRDPARTY diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000000..d062c7c5dd --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,75 @@ +# See https://pre-commit.com for more information +# See https://pre-commit.com/hooks.html for more hooks + +default_stages: [commit, push] + +repos: +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v2.2.3 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-yaml # Checks yaml files for parseable syntax. + exclude: "^kedro/template/" + - id: check-json # Checks json files for parseable syntax. + - id: check-added-large-files + - id: check-case-conflict # Check for files that would conflict in case-insensitive filesystems + - id: check-merge-conflict # Check for files that contain merge conflict strings. + - id: debug-statements # Check for debugger imports and py37+ `breakpoint()` calls in python source. + exclude: "^kedro/template/" + - id: detect-private-key # Detects the presence of private keys + - id: requirements-txt-fixer # Sorts entries in requirements.txt + - id: flake8 + exclude: "^kedro/template/" + +- repo: https://github.com/pre-commit/mirrors-isort + rev: v4.3.21 + hooks: + - id: isort + exclude: "^kedro/template/" + +- repo: https://github.com/pre-commit/mirrors-mypy + rev: v0.720 + hooks: + - id: mypy + args: [--allow-redefinition, --ignore-missing-imports] + exclude: | + (?x)( + ^kedro/template/| + ^docs/ + ) + +- repo: local + hooks: + # It's impossible to specify per-directory configuration, so we just run it many times. + # https://github.com/PyCQA/pylint/issues/618 + - id: pylint-kedro + name: "PyLint on kedro/*" + language: system + pass_filenames: false + stages: [push] + entry: pylint -j0 --disable=unnecessary-pass kedro + - id: pylint-features + name: "PyLint on features/*" + language: system + pass_filenames: false + stages: [push] + entry: pylint -j0 --disable=missing-docstring,no-name-in-module features + - id: pylint-extras + name: "PyLint on extras/*" + language: system + pass_filenames: false + stages: [push] + entry: pylint -j0 extras + - id: pylint-tests + name: "PyLint on tests/*" + language: system + pass_filenames: false + stages: [push] + entry: pylint -j0 --disable=missing-docstring,redefined-outer-name,no-self-use,invalid-name tests + # We need to make some exceptions for 3.5, that's why it's a custom runner. + - id: black + name: "Black" + language: system + pass_filenames: false + entry: python -m tools.black_runner kedro extras features tests diff --git a/.readthedocs.yml b/.readthedocs.yml index c456e06f5e..9db8ca825b 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -26,5 +26,3 @@ python: extra_requirements: - docs - requirements: test_requirements.txt - - diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index c36f457ce9..46bb564605 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -101,10 +101,13 @@ You can add new work to `contrib` if you do not need to create a new Kedro CLI c See the [`plugin` development documentation](https://kedro.readthedocs.io/en/latest/04_user_guide/09_developing_plugins.html) for guidance on how to design and develop a Kedro `plugin`. ## CI / CD and running checks locally -To run E2E tests you need to install the test requirements which includes `behave`, do this using the following command: +To run E2E tests you need to install the test requirements which includes `behave`. +Also we use [pre-commit](https://pre-commit.com) hooks for the repository to run the checks automatically. +It can all be installed using the following command: ```bash -pip install -r test_requirements.txt +make install-test-requirements +make install-pre-commit ``` ### Running checks locally @@ -146,3 +149,25 @@ make build-docs This command will only work on Unix-like systems and requires `pandoc` to be installed. > ❗ Running `make build-docs` in a Python 3.5 environment may sometimes yield multiple warning messages like the following: `MemoryDataSet.md: WARNING: document isn't included in any toctree`. You can simply ignore them or switch to Python 3.6+ when building documentation. + +## Hints on pre-commit usage +The checks will automatically run on all the changed files on each commit. +Even more extensive set of checks (including the heavy set of `pylint` checks) +will run before the push. + +The pre-commit/pre-push checks can be omitted by running with `--no-verify` flag, as per below: + +```bash +git commit --no-verify <...> +git push --no-verify <...> +``` +(`-n` alias works for `git commit`, but not for `git push`) + +All checks will run during CI build, so skipping checks on push will +not allow you to merge your code with failing checks. + +You can uninstall the pre-commit hooks by running +```bash +make uninstall-pre-commit +``` +`pre-commit` will still be used by `make lint`, but will install the git hooks. diff --git a/Makefile b/Makefile index ff9fb1fdc7..9366e595fb 100644 --- a/Makefile +++ b/Makefile @@ -14,13 +14,7 @@ legal: python tools/license_and_headers.py lint: - isort - pylint -j 0 --disable=unnecessary-pass kedro - pylint -j 0 --disable=missing-docstring,redefined-outer-name,no-self-use,invalid-name tests - pylint -j 0 --disable=missing-docstring,no-name-in-module features - pylint -j 0 extras - flake8 kedro tests features extras --exclude kedro/template* - mypy --allow-redefinition --ignore-missing-imports kedro tests features extras + pre-commit run -a --hook-stage push test: pytest tests @@ -38,3 +32,14 @@ devserver: build-docs package: clean install python setup.py sdist bdist_wheel + +install-test-requirements: + pip install -r test_requirements.txt + +install-pre-commit: install-test-requirements + pre-commit install --install-hooks + pre-commit install --hook-type pre-push + +uninstall-pre-commit: + pre-commit uninstall + pre-commit uninstall --hook-type pre-push diff --git a/README.md b/README.md index a8057cf16f..74632ed945 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ ![Kedro Logo Banner](https://raw.githubusercontent.com/quantumblacklabs/kedro/master/img/kedro_banner.jpg) -`develop` | `master` -----------|--------- +`develop` | `master` +----------|--------- [![CircleCI](https://circleci.com/gh/quantumblacklabs/kedro/tree/develop.svg?style=shield)](https://circleci.com/gh/quantumblacklabs/kedro/tree/develop) | [![CircleCI](https://circleci.com/gh/quantumblacklabs/kedro/tree/master.svg?style=shield)](https://circleci.com/gh/quantumblacklabs/kedro/tree/master) [![Build status](https://ci.appveyor.com/api/projects/status/2u74p5g8fdc45wwh/branch/develop?svg=true)](https://ci.appveyor.com/project/QuantumBlack/kedro/branch/develop) | [![Build status](https://ci.appveyor.com/api/projects/status/2u74p5g8fdc45wwh/branch/master?svg=true)](https://ci.appveyor.com/project/QuantumBlack/kedro/branch/master) diff --git a/docs/README.md b/docs/README.md index bb7b8855d3..5e4074656e 100644 --- a/docs/README.md +++ b/docs/README.md @@ -2,7 +2,7 @@ # Kedro documentation style guide -This is the style guide we have used to create [documentation about Kedro](https://kedro.readthedocs.io/en/latest/). +This is the style guide we have used to create [documentation about Kedro](https://kedro.readthedocs.io/en/latest/). When you are writing documentation for your own project, you may find it useful to follow these rules. We will also ask anyone kind enough to contribute to the Kedro documentation to follow our preferred style to maintain consistency and simplicity. However, we are not over-proscriptive and are happy to take contributions regardless, as long as you are happy if we edit your text to follow these rules. @@ -15,7 +15,7 @@ Please follow these simple rules: * Use sentence case in titles. We prefer this, _"Sentence case only has one capital except for names like Kedro"_ and not this, _"Title Case Means Capitalise Every Word"_ * Mark code blocks with the appropriate language to enable [syntax highlighting](https://support.codebasehq.com/articles/tips-tricks/syntax-highlighting-in-markdown) * We use a `bash` lexer for all codeblocks that represent the terminal, and we don't include the prompt -* Bullet points start with capitals and do not end with full-stops +* Bullet points start with capitals and do not end with full-stops * Prefer to use symbols for bullets instead of numbers unless you are specifically giving a sequence of instructions * Keep your sentences short and easy to read * Do not plagiarise other authors. Link to their text and credit them @@ -24,21 +24,21 @@ If you are in doubt, take a look at how we've written the Kedro documentation. I ## How do I build your documentation? -If you have installed Kedro, the documentation can be found by running `kedro docs` from the command line or following [this link](https://kedro.readthedocs.io/en/latest/). +If you have installed Kedro, the documentation can be found by running `kedro docs` from the command line or following [this link](https://kedro.readthedocs.io/en/latest/). If you make changes to our documentation, which is stored in the `docs/` folder of your Kedro installation, you can rebuild them within a Unix-like environment (with `pandoc` installed) with: ```bash make build-docs -``` +``` -We use the [Sphinx](https://www.sphinx-doc.org) framework to build our documentation. The resulting HTML files can be found in `docs/build/html/`. +We use the [Sphinx](https://www.sphinx-doc.org) framework to build our documentation. The resulting HTML files can be found in `docs/build/html/`. -If you are a Windows user, you can still contribute to the documentation, but you cannot rebuild it. This is fine! As long as you have made an effort to verify that your Markdown is rendering correctly, and you have followed our basic guidelines above, we will be happy to take your final draft as a pull request and rebuild it for you. +If you are a Windows user, you can still contribute to the documentation, but you cannot rebuild it. This is fine! As long as you have made an effort to verify that your Markdown is rendering correctly, and you have followed our basic guidelines above, we will be happy to take your final draft as a pull request and rebuild it for you. ## Can I contribute to Kedro documentation? -Yes! If you want to fix or extend our documentation, you'd be welcome to do so. When you are ready to submit, please read the full guide to [contributing to Kedro](../CONTRIBUTING.md). +Yes! If you want to fix or extend our documentation, you'd be welcome to do so. When you are ready to submit, please read the full guide to [contributing to Kedro](../CONTRIBUTING.md). Before you contribute any documentation, please do read the above rules for styling your Markdown. If there's something you think is missing or incorrect, and you'd like to get really meta and contribute to our style guide, please branch this file and submit a PR! diff --git a/docs/conf.py b/docs/conf.py index 6932a5bebc..e4de8e26c6 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -256,7 +256,7 @@ def autolink_replacements(what: str) -> List[Tuple[str, str, str]]: These ``LambdaDataSet``s load and save Will convert to: - These :class:`kedro.io.LambdaDataSet`\s load and save + These :class:`kedro.io.LambdaDataSet` load and save Args: what: The objects to create replacement tuples for. Possible values diff --git a/docs/kedro_logo.svg b/docs/kedro_logo.svg index 45d9bcebfa..754f41860d 100644 --- a/docs/kedro_logo.svg +++ b/docs/kedro_logo.svg @@ -1 +1 @@ - \ No newline at end of file + diff --git a/docs/source/02_getting_started/02_install.md b/docs/source/02_getting_started/02_install.md index e8db143d4c..a85c27fb30 100644 --- a/docs/source/02_getting_started/02_install.md +++ b/docs/source/02_getting_started/02_install.md @@ -17,6 +17,3 @@ You should see an ASCII art graphic and the Kedro version number. For example: ![](images/kedro_graphic.png) If you do not see the graphic displayed, or have any issues with your installation, see the [FAQs](../06_resources/01_faq.md) for help. - - - diff --git a/docs/source/03_tutorial/05_package_a_project.md b/docs/source/03_tutorial/05_package_a_project.md index d76e70c313..4d8c2a5182 100644 --- a/docs/source/03_tutorial/05_package_a_project.md +++ b/docs/source/03_tutorial/05_package_a_project.md @@ -19,7 +19,7 @@ You can package your project by running `kedro package` from the command line. T You can also check out [Kedro-Docker](https://github.com/quantumblacklabs/kedro-docker), an officially supported Kedro plugin for packaging and shipping Kedro projects within [Docker](https://www.docker.com/) containers. -We also support converting your Kedro project into an Airflow project with the [Kedro-Airflow](https://github.com/quantumblacklabs/kedro-airflow) plugin. +We also support converting your Kedro project into an Airflow project with the [Kedro-Airflow](https://github.com/quantumblacklabs/kedro-airflow) plugin. ## What is next? diff --git a/docs/source/04_user_guide/05_nodes_and_pipelines.md b/docs/source/04_user_guide/05_nodes_and_pipelines.md index 1d656ec421..ff935c90d2 100644 --- a/docs/source/04_user_guide/05_nodes_and_pipelines.md +++ b/docs/source/04_user_guide/05_nodes_and_pipelines.md @@ -111,7 +111,7 @@ To tag a node, you can simply specify the `tag` argument, as follows: ```python node(func=add, inputs=["a", "b"], outputs="sum", name="adding_a_and_b", tag="node_tag") -``` +``` Moreover, you can [tag all nodes in a ``Pipeline``](./05_nodes_and_pipelines.md#tagging-pipeline-nodes). diff --git a/docs/source/04_user_guide/07_advanced_io.md b/docs/source/04_user_guide/07_advanced_io.md index f68ab43a18..e80c699ab4 100644 --- a/docs/source/04_user_guide/07_advanced_io.md +++ b/docs/source/04_user_guide/07_advanced_io.md @@ -52,7 +52,7 @@ In order to enable versioning, all of the following conditions must be met: 4. modify its `_describe`, `_load` and `_save` methods respectively to support versioning (see [`kedro.io.CSVLocalDataSet`](/kedro.io.CSVLocalDataSet) for an example implementation) AND 2. In the `catalog.yml` config file you must enable versioning by setting `versioned` attribute to `true` for the given dataset. -An example dataset could look similar to the below: +An example dataset could look similar to the below: ```python from pathlib import Path diff --git a/docs/source/04_user_guide/10_ipython.md b/docs/source/04_user_guide/10_ipython.md index 044da8844a..c055b82ec4 100644 --- a/docs/source/04_user_guide/10_ipython.md +++ b/docs/source/04_user_guide/10_ipython.md @@ -174,4 +174,3 @@ Placing your `Notebook.ipynb` file anywhere in `new-kedro-project/notebooks/`, ` #### Error handling In case this script fails to execute any of your Kedro project startup scripts, global variable `load_kedro_errors` will contain a dictionary with the key pointing to the failed script path and the value containing exception object. - diff --git a/docs/source/04_user_guide/11_working_with_databricks.md b/docs/source/04_user_guide/11_working_with_databricks.md index 6d774f05a4..dfc31bcc63 100644 --- a/docs/source/04_user_guide/11_working_with_databricks.md +++ b/docs/source/04_user_guide/11_working_with_databricks.md @@ -9,7 +9,7 @@ Databricks Connect connects your favourite IDE (IntelliJ, Eclipse, [VS Code](01_ You can setup Databricks Connect according to the instructions listed [here](https://docs.databricks.com/user-guide/dev-tools/db-connect.html). -> *Note:* You will need to uninstall PySpark, as Databricks Connect will install it for you. This method only works for 5.x versions of Databricks clusters and disables use of Databricks Notebook. +> *Note:* You will need to uninstall PySpark, as Databricks Connect will install it for you. This method only works for 5.x versions of Databricks clusters and disables use of Databricks Notebook. ## GitHub workflow with Databricks diff --git a/docs/source/05_api_docs/kedro.pipeline.rst b/docs/source/05_api_docs/kedro.pipeline.rst index ab5af7e414..f6fbebbe20 100644 --- a/docs/source/05_api_docs/kedro.pipeline.rst +++ b/docs/source/05_api_docs/kedro.pipeline.rst @@ -30,4 +30,3 @@ kedro.pipeline kedro.pipeline.decorators.log_time kedro.pipeline.decorators.mem_profile - diff --git a/docs/source/06_resources/01_faq.md b/docs/source/06_resources/01_faq.md index 6f0296756a..76682c7ebe 100644 --- a/docs/source/06_resources/01_faq.md +++ b/docs/source/06_resources/01_faq.md @@ -128,4 +128,3 @@ A local copy of documentation about Kedro can be generated by running `kedro doc ## How can I find out more about Kedro? Kedro is on GitHub, and our preferred community channel for feedback is through [GitHub issues](https://github.com/quantumblacklabs/kedro/issues). We will be updating the codebase regularly, and you can find news about updates and features we introduce by heading over to [RELEASE.md](https://github.com/quantumblacklabs/kedro/blob/develop/RELEASE.md). - diff --git a/docs/source/css/qb1-sphinx-rtd.css b/docs/source/css/qb1-sphinx-rtd.css index 79b7d2f1a6..911878abe1 100644 --- a/docs/source/css/qb1-sphinx-rtd.css +++ b/docs/source/css/qb1-sphinx-rtd.css @@ -402,4 +402,4 @@ h1, h2, .rst-content .toctree-wrapper p.caption, h3, h4, h5, h6, legend { .wy-body-for-nav .rst-versions { font-size: 16px; line-height: 1; -} \ No newline at end of file +} diff --git a/extras/README.md b/extras/README.md index 41bf2c1ebd..799619c280 100644 --- a/extras/README.md +++ b/extras/README.md @@ -6,4 +6,4 @@ This script helps to locate Kedro project and run IPython startup scripts in it when working with Jupyter Notebooks and IPython sessions. This script will automatically identify your Kedro project root directory and execute all Python scripts from `/.ipython/profile_default/startup` directory. -The details can be found in [the user guide](](https://kedro.readthedocs.io/en/latest/04_user_guide/10_ipython.html)). \ No newline at end of file +The details can be found in [the user guide](](https://kedro.readthedocs.io/en/latest/04_user_guide/10_ipython.html)). diff --git a/features/pipeline.feature b/features/pipeline.feature index 5add70a791..e5724516f4 100644 --- a/features/pipeline.feature +++ b/features/pipeline.feature @@ -42,5 +42,3 @@ Feature: Pipelines that can be run from a library or a template project Given I have executed the kedro command "install" When the template pipeline is run Then it should successfully produce the results - - diff --git a/features/run.feature b/features/run.feature index c08899862e..6eadfea658 100644 --- a/features/run.feature +++ b/features/run.feature @@ -89,4 +89,3 @@ Feature: Run Project And I have deleted the credentials file When I execute the kedro command "run" Then I should get a successful exit code - diff --git a/kedro/contrib/README.md b/kedro/contrib/README.md index 074469d444..33eceb5660 100644 --- a/kedro/contrib/README.md +++ b/kedro/contrib/README.md @@ -1,6 +1,6 @@ # Kedro contrib -The contrib directory is meant to contain user contributions, these +The contrib directory is meant to contain user contributions, these contributions might get merged into core Kedro at some point in the future. When create a new module in `contrib`, place it exactly where it would be if it @@ -9,7 +9,7 @@ was merged into core Kedro. For example, data sets are under the core package `kedro.io`. If you are contributing a Data Set you should have the following directory: `kedro/contrib/my_project/io/` - i.e., the name of your project before the -`kedro` package path. +`kedro` package path. This is how a module would look like under `kedro/contrib`: ``` @@ -36,4 +36,4 @@ extras_require={ ``` Please notice that a readme with instructions about how to use your module -and 100% test coverage are required to accept a PR. +and 100% test coverage are required to accept a PR. diff --git a/kedro/contrib/io/catalog_with_default/README.md b/kedro/contrib/io/catalog_with_default/README.md index 967ad8e350..5df1a3b125 100644 --- a/kedro/contrib/io/catalog_with_default/README.md +++ b/kedro/contrib/io/catalog_with_default/README.md @@ -14,8 +14,8 @@ from kedro.runner import SequentialRunner def default_io(name): return ParquetLocalDataSet(name) -catalog = DataCatalogWithDefault({}, - default=default_io, +catalog = DataCatalogWithDefault({}, + default=default_io, default_prefix='data/') def my_node(input): @@ -36,4 +36,3 @@ Less safe during production, very handy during development. ### Motivation and Context Very useful during development, saves a lot of time. Usually most datasets in a pipeline come from a single-source. - diff --git a/kedro/contrib/io/pyspark/README.md b/kedro/contrib/io/pyspark/README.md index 524ef6c1a4..8ce01022f5 100644 --- a/kedro/contrib/io/pyspark/README.md +++ b/kedro/contrib/io/pyspark/README.md @@ -60,8 +60,8 @@ Loading and saving spark `DataFrame`s using Kedro can be easily done using the [ ```python from kedro.contrib.io.pyspark import SparkDataSet -csv = SparkDataSet('../data/01_raw/2015_points_old.csv', - file_format='csv', +csv = SparkDataSet('../data/01_raw/2015_points_old.csv', + file_format='csv', load_args={'header': True}) df = csv.load() \ @@ -74,9 +74,9 @@ df.show() ### Save it as parquet to your local disk ```python -parquet = SparkDataSet('../data/01_raw/2015_points_old_parquet', - file_format='parquet', - save_args={'mode': 'overwrite', +parquet = SparkDataSet('../data/01_raw/2015_points_old_parquet', + file_format='parquet', + save_args={'mode': 'overwrite', 'compression': 'none'}) parquet.save(df) ``` diff --git a/kedro/template/{{ cookiecutter.repo_name }}/README.md b/kedro/template/{{ cookiecutter.repo_name }}/README.md index 673ab77909..c3dc8018c1 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/README.md +++ b/kedro/template/{{ cookiecutter.repo_name }}/README.md @@ -87,7 +87,7 @@ scope: `proj_dir`, `proj_name`, `conf`, `io`, `parameters` and `startup_error`. Once you are happy with a notebook, you may want to move your code over into the Kedro project structure for the next stage in your development. This is done through a mixture of [cell tagging](https://jupyter-notebook.readthedocs.io/en/stable/changelog.html#cell-tags) and Kedro CLI commands. -By adding the `node` tag to a cell and running the command below, the cell's source code will be copied over to a Python file within `src//nodes/`. +By adding the `node` tag to a cell and running the command below, the cell's source code will be copied over to a Python file within `src//nodes/`. ``` kedro jupyter convert ``` diff --git a/kedro/template/{{ cookiecutter.repo_name }}/conf/base/credentials.yml b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/credentials.yml index fe22a1a0ae..82cbc95589 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/conf/base/credentials.yml +++ b/kedro/template/{{ cookiecutter.repo_name }}/conf/base/credentials.yml @@ -1,8 +1,8 @@ # Here you can define credentials for different data sets and environment. -# +# # THIS FILE MUST BE PLACED IN `conf/local`. DO NOT PUSH THIS FILE TO GitHub. -# +# # Example: # # dev_s3: @@ -16,4 +16,3 @@ # dev_sql: # username: admin # password: admin - diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/requirements.txt b/kedro/template/{{ cookiecutter.repo_name }}/src/requirements.txt index 374041a02d..088c9a148d 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/requirements.txt +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/requirements.txt @@ -1,9 +1,9 @@ -kedro=={{ cookiecutter.kedro_version }} ipython>=7.0.0, <8.0 jupyter>=1.0.0, <2.0 jupyterlab==0.31.1 +kedro=={{ cookiecutter.kedro_version }} nbstripout==0.3.3 -pytest>=3.4, <4.0 pytest-cov>=2.5, <3.0 pytest-mock>=1.7.1,<2.0 +pytest>=3.4, <4.0 wheel==0.32.2 diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py b/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py index 92ca544d42..5a8a33cc30 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/tests/test_run.py @@ -56,4 +56,3 @@ def test_project_name(self, project_context): def test_project_version(self, project_context): assert project_context.project_version == "{{ cookiecutter.kedro_version }}" - diff --git a/requirements.txt b/requirements.txt index 15587246ad..74e243a34b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,15 +1,15 @@ +anyconfig==0.9.7 click<8.0 cookiecutter==1.6.0 +memory_profiler==0.54.0 pandas>=0.23.0, <0.25.0 -PyYAML>=4.2, <6.0 -tables==3.5.1 pyarrow>=0.12.0, <1.0.0 +python-json-logger==0.1.9 +PyYAML>=4.2, <6.0 +requests>=2.21.0, <3.0.0 +s3fs>=0.3.0, <1.0 SQLAlchemy>=1.2.0, <2.0 +tables==3.5.1 toposort==1.5 xlrd>=1.0.0, <2.0 xlsxwriter>=1.0.7, <2.0 -anyconfig==0.9.7 -python-json-logger==0.1.9 -memory_profiler==0.54.0 -s3fs>=0.3.0, <1.0 -requests>=2.21.0, <3.0.0 \ No newline at end of file diff --git a/setup.py b/setup.py index 4833644141..63aef69885 100644 --- a/setup.py +++ b/setup.py @@ -38,7 +38,12 @@ # get package version with open(path.join(here, name, "__init__.py"), encoding="utf-8") as f: - version = re.search(r'__version__ = ["\']([^"\']+)', f.read()).group(1) + result = re.search(r'__version__ = ["\']([^"\']+)', f.read()) + + if not result: + raise ValueError("Can't find the version in kedro/__init__.py") + + version = result.group(1) # get the dependencies and installs with open("requirements.txt", "r", encoding="utf-8") as f: diff --git a/test_requirements.txt b/test_requirements.txt index cadfd8b356..a18268e794 100644 --- a/test_requirements.txt +++ b/test_requirements.txt @@ -1,21 +1,22 @@ -r requirements.txt -pytest>=3.9, <4.0 -pytest-cov>=2.5, <3.0 -pytest-mock>=1.7.1,<2.0 -pylint>=2.3.1, <3.0 -flake8>=3.5,<4.0 -behave==1.2.6 -moto==1.3.7 -nbconvert>=5.3.1, <6.0 -nbformat>=4.4.0, <5.0 -pyspark>=2.2.0, <3.0 -codacy-coverage azure-storage-blob>=1.1.0, <2.0 azure-storage-file>=1.1.0, <2.0 azure-storage-queue>=1.1.0, <2.0 +behave==1.2.6 +biopython>=1.73, <2.0 +codacy-coverage +flake8>=3.5,<4.0 joblib==0.12.3 +moto==1.3.7 +mypy<=1.0 +nbconvert>=5.3.1, <6.0 +nbformat>=4.4.0, <5.0 +pre-commit>=1.17.0, <2.0.0 psutil==5.4.7 -wheel==0.32.2 -biopython>=1.73, <2.0 +pylint>=2.3.1, <3.0 +pyspark>=2.2.0, <3.0 +pytest-cov>=2.5, <3.0 +pytest-mock>=1.7.1,<2.0 +pytest>=3.9, <4.0 requests-mock>=1.6.0, <2.0.0 -mypy<=1.0 +wheel==0.32.2 diff --git a/tools/black_runner.py b/tools/black_runner.py new file mode 100644 index 0000000000..2fa0b1577c --- /dev/null +++ b/tools/black_runner.py @@ -0,0 +1,52 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +Black needs python 3.6+, but Kedro should work on 3.5 too, +that's why we can't put ``black`` into test_requirements.txt and +have to install it manually like that. + +If python version is 3.5 - just exit with 0 status. +""" +import platform +import subprocess +import sys + +VERSION = tuple(map(int, platform.python_version_tuple()[:2])) + +if VERSION < (3, 6): + print("Python version is too low, exiting") + sys.exit(0) + +try: + import black # noqa: F401 pylint: disable=unused-import +except ImportError: + subprocess.run(["pip", "install", "black"], check=True) + + +subprocess.run(["black"] + sys.argv[1:], check=True) diff --git a/tools/license_and_headers.py b/tools/license_and_headers.py index 14f1730711..594137398a 100644 --- a/tools/license_and_headers.py +++ b/tools/license_and_headers.py @@ -27,7 +27,6 @@ # limitations under the License. import glob -import sys PATHS_REQUIRING_HEADER = ["kedro", "tests"] LEGAL_HEADER_FILE = "legal_header.txt" From 7bced93025859e11f23fa3a65e482b24f919e54d Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Thu, 1 Aug 2019 13:42:03 +0100 Subject: [PATCH 51/83] [KED-873] Update example code for initialising Spark session (#163) --- RELEASE.md | 2 +- docs/source/04_user_guide/08_pyspark.md | 58 ++++++++++++++++++------- 2 files changed, 44 insertions(+), 16 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index b0d0aa1687..026f3ae791 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -9,7 +9,7 @@ * Added new `--from-nodes` and `--to-nodes` run arguments, allowing users to run a range of nodes from the pipeline. ## Bug fixes and other changes -* Documentation improvements. +* Documentation improvements including instructions on how to initialise a Spark session using YAML configuration. * `anyconfig` default log level changed from `INFO` to `WARNING`. * Added information on installed plugins to `kedro info`. * Added style sheets for project documentation, so the output of `kedro build-docs` will resemble the style of `kedro docs`. diff --git a/docs/source/04_user_guide/08_pyspark.md b/docs/source/04_user_guide/08_pyspark.md index 432d1ba4a0..2852977a09 100644 --- a/docs/source/04_user_guide/08_pyspark.md +++ b/docs/source/04_user_guide/08_pyspark.md @@ -13,31 +13,59 @@ Before any `PySpark` operations are performed, you should initialise your `Spark For example, if you are using Kedro's project template, then you could add `init_spark_session()` method to the `ProjectContext` class in `src//run.py` as follows: ```python +import getpass + +from pyspark import SparkConf from pyspark.sql import SparkSession # ... class ProjectContext(KedroContext): # ... - - def init_spark_session(self, aws_access_key, aws_secret_key): - # select only/add more config options as per your needs - return ( - SparkSession.builder.master("local[*]") - .appName("kedro") - .config("spark.driver.memory", params["spark.driver.memory"]) - .config("spark.driver.maxResultSize", "3g") - .config("spark.hadoop.fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem") - .config("spark.sql.execution.arrow.enabled", "true") - .config("spark.jars.packages", "org.apache.hadoop:hadoop-aws:2.7.5") - .config("spark.jars.excludes", "joda-time:joda-time") - .config("fs.s3a.access.key", aws_access_key) - .config("fs.s3a.secret.key", aws_secret_key) - .getOrCreate() + def __init__(self, project_path: Union[Path, str], env: str): + super().__init__(project_path, env) + self._spark_session = None + self.init_spark_session() + + def init_spark_session(self, yarn=True) -> None: + """Initialises a SparkSession using the config defined in project's conf folder.""" + + if self._spark_session: + return self._spark_session + parameters = self.config_loader.get("spark*", "spark*/**") + spark_conf = SparkConf().setAll(parameters.items()) + + spark_session_conf = ( + SparkSession.builder.appName( + "{}_{}".format(self.project_name, getpass.getuser()) + ) + .enableHiveSupport() + .config(conf=spark_conf) ) + if yarn: + self._spark_session = spark_session_conf.master("yarn").getOrCreate() + else: + self._spark_session = spark_session_conf.getOrCreate() + + self._spark_session.sparkContext.setLogLevel("WARN") + + project_name = "kedro" + project_version = "0.14.3" # ... + ``` +Create `conf/base/spark.yml` and specify the parameters as follows: + +```yaml +spark.driver.maxResultSize: 3g +spark.hadoop.fs.s3a.impl: org.apache.hadoop.fs.s3a.S3AFileSystem +spark.sql.execution.arrow.enabled: true +spark.jars.packages: org.apache.hadoop:hadoop-aws:2.7.5 +spark.jars.excludes: joda-time:joda-time +``` + + Since `SparkSession` is a [singleton](https://python-3-patterns-idioms-test.readthedocs.io/en/latest/Singleton.html), the next time you call `SparkSession.builder.getOrCreate()` you will be provided with the same `SparkSession` you initialised at your app's entry point. From 1f4aace8fd334527dfd0640a16042a1095c5238b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lorena=20B=C4=83lan?= Date: Thu, 1 Aug 2019 14:25:32 +0100 Subject: [PATCH 52/83] [KED-913] Fix misleading documentation about pipeline and tags (#168) --- docs/source/03_tutorial/04_create_pipelines.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/docs/source/03_tutorial/04_create_pipelines.md b/docs/source/03_tutorial/04_create_pipelines.md index e22d9f4a32..4463d12aae 100644 --- a/docs/source/03_tutorial/04_create_pipelines.md +++ b/docs/source/03_tutorial/04_create_pipelines.md @@ -518,8 +518,6 @@ def create_pipeline(**kwargs): return de_pipeline + ds_pipeline ``` -Should you need to, you can add more than one tag to the pipeline by adding `name=['tag1', 'tag2']`. - To run a partial pipeline: ```bash From c46a3fa39054d75864295b7789541fccb3c8ff89 Mon Sep 17 00:00:00 2001 From: Anton Kirilenko Date: Thu, 1 Aug 2019 15:02:12 +0100 Subject: [PATCH 53/83] [KED-868] Limited the choice of Jupyter kernels to the default one (#164) --- RELEASE.md | 1 + .../{{ cookiecutter.repo_name }}/kedro_cli.py | 45 ++++++++++++++++--- 2 files changed, 39 insertions(+), 7 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 026f3ae791..bd26bbc28a 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -7,6 +7,7 @@ * Added a new `--node` flag to `kedro run`, allowing users to run only the nodes with the specified names. * Added `CSVHTTPDataSet` to load CSV using HTTP(s) links. * Added new `--from-nodes` and `--to-nodes` run arguments, allowing users to run a range of nodes from the pipeline. +* Jupyter Lab/Notebook now starts with only one kernel by default. ## Bug fixes and other changes * Documentation improvements including instructions on how to initialise a Spark session using YAML configuration. diff --git a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py index 08080d89a4..b66c6f151a 100755 --- a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py @@ -43,6 +43,7 @@ from kedro.cli.utils import KedroCliError, call, forward_command, python_call, export_nodes from kedro.utils import load_obj from kedro.runner import SequentialRunner +from typing import Iterable, List CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"]) @@ -215,6 +216,15 @@ def activate_nbstripout(): call(["nbstripout", "--install"]) +def _build_jupyter_command(base: str, ip: str, all_kernels: bool, args: Iterable[str]) -> List[str]: + cmd = [base, "--ip=" + ip] + + if not all_kernels: + cmd.append("--KernelSpecManager.whitelist=['python3']") + + return cmd + list(args) + + @cli.group() def jupyter(): """Open Jupyter Notebook / Lab with project specific variables loaded, or @@ -224,20 +234,30 @@ def jupyter(): @forward_command(jupyter, "notebook", forward_help=True) @click.option("--ip", type=str, default="127.0.0.1") -def jupyter_notebook(ip, args): +@click.option("--all-kernels", is_flag=True, default=False) +def jupyter_notebook(ip, all_kernels, args): """Open Jupyter Notebook with project specific variables loaded.""" if "-h" not in args and "--help" not in args: - ipython_message() - call(["jupyter-notebook", "--ip=" + ip] + list(args)) + ipython_message(all_kernels) + + call(_build_jupyter_command( + "jupyter-notebook", ip=ip, + all_kernels=all_kernels, args=args, + )) @forward_command(jupyter, "lab", forward_help=True) @click.option("--ip", type=str, default="127.0.0.1") -def jupyter_lab(ip, args): +@click.option("--all-kernels", is_flag=True, default=False) +def jupyter_lab(ip, all_kernels, args): """Open Jupyter Lab with project specific variables loaded.""" if "-h" not in args and "--help" not in args: - ipython_message() - call(["jupyter-lab", "--ip=" + ip] + list(args)) + ipython_message(all_kernels) + + call(_build_jupyter_command( + "jupyter-lab", ip=ip, + all_kernels=all_kernels, args=args, + )) @jupyter.command("convert") @@ -312,7 +332,7 @@ def convert_notebook(all_flag, overwrite_flag, filepath): secho("Done!") -def ipython_message(): +def ipython_message(all_kernels=True): """Show a message saying how we have configured the IPython env.""" ipy_vars = ["startup_error", "context"] secho("-" * 79, fg="cyan") @@ -324,6 +344,17 @@ def ipython_message(): ) ) secho("or to see the error message if they are undefined") + + if not all_kernels: + secho( + "The choice of kernels is limited to the default one.", + fg="yellow", + ) + secho( + "(restart with --all-kernels to get access to others)", + fg="yellow", + ) + secho("-" * 79, fg="cyan") From 5f4325f88d9b84bbf463b67cccd2dd785669f4c0 Mon Sep 17 00:00:00 2001 From: Dmitrii Deriabin <44967953+DmitriiDeriabinQB@users.noreply.github.com> Date: Thu, 1 Aug 2019 18:03:37 +0100 Subject: [PATCH 54/83] [KED-773] Document the best practices for using credentials (#167) Clear description of how to configure credentials --- docs/source/04_user_guide/03_configuration.md | 40 +++++++++++++++++++ docs/source/04_user_guide/04_data_catalog.md | 30 ++++++++++++-- docs/source/06_resources/01_faq.md | 2 +- 3 files changed, 68 insertions(+), 4 deletions(-) diff --git a/docs/source/04_user_guide/03_configuration.md b/docs/source/04_user_guide/03_configuration.md index e847c8b087..3aa1efc67a 100644 --- a/docs/source/04_user_guide/03_configuration.md +++ b/docs/source/04_user_guide/03_configuration.md @@ -51,3 +51,43 @@ You can alternatively change the default environment by modifying the `env` vari ```python env = "test" ``` + +## Credentials + +> *Note:* For security reasons, we strongly recommend *not* committing any credentials or other secrets to the Version Control System. Hence, by default any file inside the `conf/` folder (and its subfolders) containing `credentials` in its name will be ignored via `.gitignore` and not committed to your git repository. + +Credentials configuration can be loaded the same way as any other project configuration using the `ConfigLoader` class: + +```python +from kedro.config import ConfigLoader + +conf_paths = ["conf/base", "conf/local"] +conf_loader = ConfigLoader(conf_paths) +credentials = conf_loader.get("credentials*", "credentials*/**") +``` + +This will load all configuration files from `conf/base` and `conf/local`, which either have the filename starting with `credentials` or are located inside a folder with name starting with `credentials`. + +> *Note:* Configuration path `conf/local` takes precedence in the example above since it's loaded last, therefore any overlapping top-level keys from `conf/base` will be overwritten by the ones from `conf/local`. + +Calling `conf_loader.get()` in the example above will throw a `MissingConfigException` error if there are no configuration files matching the given patterns in any of the specified paths. If this is a valid workflow for your application, you can handle it as follows: + +```python +from kedro.config import ConfigLoader, MissingConfigException + +conf_paths = ["conf/base", "conf/local"] +conf_loader = ConfigLoader(conf_paths) + +try: + credentials = conf_loader.get("credentials*", "credentials*/**") +except MissingConfigException: + credentials = {} +``` + +> *Note:* `kedro.context.KedroContext` class uses the approach above to load project credentials. + +Credentials configuration can then be used on its own or fed into the `DataCatalog` as described in [this section](./04_data_catalog.md#feeding-in-credentials). + +### AWS credentials + +When working with AWS S3-backed datasets (e.g., `kedro.io.CSVS3DataSet`), you are not required to store AWS credentials in the project configuration files. Instead, you can specify them using environment variables `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, and, optionally, `AWS_SESSION_TOKEN`. Please refer to the [official documentation](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-envvars.html) for more details. diff --git a/docs/source/04_user_guide/04_data_catalog.md b/docs/source/04_user_guide/04_data_catalog.md index 4dd641e4d1..72f50cd03f 100644 --- a/docs/source/04_user_guide/04_data_catalog.md +++ b/docs/source/04_user_guide/04_data_catalog.md @@ -109,17 +109,41 @@ scooters_query: index_col: ['name'] ``` -The above `catalog.yml` gets `dev_s3` `scooters_credentials` from `conf/local/credentials.yml`: +## Feeding in credentials + +Before instantiating the `DataCatalog` Kedro will first attempt to read the credentials from project configuration (see [this section](./03_configuration.md#aws-credentials) for more details). Resulting dictionary will then be passed into `DataCatalog.from_config()` as `credentials` argument. + +Let's assume that the project contains the file `conf/local/credentials.yml` with the following contents: ```yaml dev_s3: - aws_access_key_id: token - aws_secret_access_key: key + aws_access_key_id: token + aws_secret_access_key: key scooters_credentials: con: sqlite:///kedro.db ``` +In the example above `catalog.yml` contains references to credentials keys `dev_s3` and `scooters_credentials`. It means that when instantiating `motorbikes` dataset, for example, the `DataCatalog` will attempt to read top-level key `dev_s3` from the received `credentials` dictionary, and then will pass its values into the dataset `__init__` as `credentials` argument. This is essentially equivalent to calling this: + +```python +CSVS3DataSet( + bucket_name="test_bucket", + filepath="data/02_intermediate/company/motorbikes.csv", + load_args=dict( + sep=",", + skiprows=5, + skipfooter=1, + na_values=["#NA", "NA"], + ), + credentials=dict( + aws_access_key_id="token", + aws_secret_access_key="key", + ) +) +``` + + ## Loading multiple datasets that have similar configuration You may encounter situations where your datasets use the same file format, load and save arguments, and are stored in the same folder. YAML has a [built-in syntax](https://yaml.org/spec/1.2/spec.html#id2765878) for factorising parts of a YAML file, which means that you can decide what is generalisable across your datasets so that you do not have to spend time copying and pasting dataset configurations in `catalog.yml`. diff --git a/docs/source/06_resources/01_faq.md b/docs/source/06_resources/01_faq.md index 76682c7ebe..3dab30f74d 100644 --- a/docs/source/06_resources/01_faq.md +++ b/docs/source/06_resources/01_faq.md @@ -88,7 +88,7 @@ Kedro is built for Python 3.5+. * Avoid committing data to notebook output cells (data can easily sneak into notebooks when you don't delete output cells) * Don't commit sensitive results or plots to version control (in notebooks or otherwise) * Don't commit credentials in `conf/`. There are two default folders for adding configuration - `conf/base/` and `conf/local/`. Only the `conf/local/` folder should be used for sensitive information like access credentials. To add credentials, please refer to the `conf/base/credentials.yml` file in the project template. -* By default any file inside the `conf/` folder (and its subfolders) containing `credentials` in its name will be ignored via `.gitignore` and not commited to your git repository. +* By default any file inside the `conf/` folder (and its subfolders) containing `credentials` in its name will be ignored via `.gitignore` and not committed to your git repository. * To describe where your colleagues can access the credentials, you may edit the `README.md` to provide instructions. ## What is the philosophy behind Kedro? From 6b1e9c694c0889abbfd5982f826b29dbb5e874a5 Mon Sep 17 00:00:00 2001 From: Marat K Date: Fri, 2 Aug 2019 10:40:32 +0200 Subject: [PATCH 55/83] Azure JSONBlobDataSet feature (#40) --- RELEASE.md | 3 +- docs/source/05_api_docs/kedro.contrib.io.rst | 1 + kedro/contrib/io/azure/__init__.py | 1 + kedro/contrib/io/azure/json_blob.py | 137 +++++++++++++++ tests/contrib/io/azure/test_json_blob.py | 168 +++++++++++++++++++ 5 files changed, 309 insertions(+), 1 deletion(-) create mode 100644 kedro/contrib/io/azure/json_blob.py create mode 100644 tests/contrib/io/azure/test_json_blob.py diff --git a/RELEASE.md b/RELEASE.md index bd26bbc28a..15562e7248 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -7,6 +7,7 @@ * Added a new `--node` flag to `kedro run`, allowing users to run only the nodes with the specified names. * Added `CSVHTTPDataSet` to load CSV using HTTP(s) links. * Added new `--from-nodes` and `--to-nodes` run arguments, allowing users to run a range of nodes from the pipeline. +* Added `JSONBlobDataSet` to load json (-delimited) files from Azure Blob Storage * Jupyter Lab/Notebook now starts with only one kernel by default. ## Bug fixes and other changes @@ -74,7 +75,7 @@ If you defined any custom dataset classes which support versioning in your proje These steps should have brought your project to Kedro 0.15.0. There might be some more minor tweaks needed as every project is unique, but now you have a pretty solid base to work with. If you run into any problems, please consult the [Kedro documentation](https://kedro.readthedocs.io). ## Thanks for supporting contributions -[Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman), [Mayur Chougule](https://github.com/mmchougule) +[Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman), [Mayur Chougule](https://github.com/mmchougule), [Marat Kopytjuk](https://github.com/kopytjuk) # Release 0.14.3 diff --git a/docs/source/05_api_docs/kedro.contrib.io.rst b/docs/source/05_api_docs/kedro.contrib.io.rst index 2158415a9b..6b860d766c 100644 --- a/docs/source/05_api_docs/kedro.contrib.io.rst +++ b/docs/source/05_api_docs/kedro.contrib.io.rst @@ -20,6 +20,7 @@ kedro.contrib.io :template: autosummary/class.rst kedro.contrib.io.azure.CSVBlobDataSet + kedro.contrib.io.azure.JSONBlobDataSet kedro.contrib.io.bioinformatics.BioSequenceLocalDataSet kedro.contrib.io.pyspark.SparkDataSet kedro.contrib.io.pyspark.SparkJDBCDataSet diff --git a/kedro/contrib/io/azure/__init__.py b/kedro/contrib/io/azure/__init__.py index c37051d294..5a2cc38bd6 100644 --- a/kedro/contrib/io/azure/__init__.py +++ b/kedro/contrib/io/azure/__init__.py @@ -32,3 +32,4 @@ from .csv_blob import CSVBlobDataSet # NOQA +from .json_blob import JSONBlobDataSet # NOQA diff --git a/kedro/contrib/io/azure/json_blob.py b/kedro/contrib/io/azure/json_blob.py new file mode 100644 index 0000000000..67ddc0c9c3 --- /dev/null +++ b/kedro/contrib/io/azure/json_blob.py @@ -0,0 +1,137 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" ``AbstractDataSet`` implementation to access JSON(L) files directly from +Microsoft's Azure blob storage. +""" +import io +from typing import Any, Dict, Optional + +import pandas as pd +from azure.storage.blob import BlockBlobService + +from kedro.io import AbstractDataSet + + +class JSONBlobDataSet(AbstractDataSet): + # pylint: disable=too-many-instance-attributes + """``JSONBlobDataSet`` loads and saves json(line-delimited) files in Microsoft's Azure + blob storage. It uses Azure storage SDK to read and write in Azure and + pandas to handle the json(l) file locally. + + Example: + :: + + >>> import pandas as pd + >>> + >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], + >>> 'col3': [5, 6]}) + >>> + >>> data_set = JSONBlobDataSet(filepath="test.jsonl", credentials={"sas_token":"1234"}, + >>> load_args={"lines":True}, container_name="test", + >>> save_args={"orient":"records", "lines":True}) + >>> data_set.save(data) + >>> reloaded = data_set.load() + >>> + >>> assert data.equals(reloaded) + """ + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, + container_name=self._container_name, + blob_to_bytes_args=self._blob_to_bytes_args, + blob_from_bytes_args=self._blob_from_bytes_args, + load_args=self._load_args, + save_args=self._save_args, + ) + + # pylint: disable=too-many-arguments + def __init__( + self, + filepath: str, + container_name: str, + credentials: Dict[str, Any], + encoding: str = "utf-8", + blob_from_bytes_args: Optional[Dict[str, Any]] = None, + blob_to_bytes_args: Optional[Dict[str, Any]] = None, + load_args: Optional[Dict[str, Any]] = None, + save_args: Optional[Dict[str, Any]] = None, + ) -> None: + """Creates a new instance of ``JSONBlobDataSet`` pointing to a + concrete json(l) file on Azure blob storage. + + Args: + filepath: path to a azure blob of a json(l) file. + container_name: Azure container name. + credentials: Credentials (``account_name`` and + ``account_key`` or ``sas_token``) to access the Azure blob storage + encoding: Default utf-8. Defines encoding of json files downloaded as binary streams. + blob_to_bytes_args: Any additional arguments to pass to Azure's + ``get_blob_to_bytes`` method: + https://docs.microsoft.com/en-us/python/api/azure.storage.blob.baseblobservice.baseblobservice?view=azure-python#get-blob-to-bytes + blob_from_bytes_args: Any additional arguments to pass to Azure's + ``create_blob_from_bytes`` method: + https://docs.microsoft.com/en-us/python/api/azure.storage.blob.blockblobservice.blockblobservice?view=azure-python#create-blob-from-bytes + load_args: Pandas options for loading json(l) files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_json.html + All defaults are preserved. + save_args: Pandas options for saving json(l) files. + Here you can find all available arguments: + https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_json.html + All defaults are preserved, but "index", which is set to False. + + """ + self._save_args = ( + {**save_args} if save_args else {} + ) + self._load_args = load_args if load_args else {} + self._filepath = filepath + self._encoding = encoding + self._container_name = container_name + self._credentials = credentials if credentials else {} + self._blob_to_bytes_args = blob_to_bytes_args if blob_to_bytes_args else {} + self._blob_from_bytes_args = blob_from_bytes_args if blob_from_bytes_args else {} + + def _load(self) -> pd.DataFrame: + blob_service = BlockBlobService(**self._credentials) + blob = blob_service.get_blob_to_bytes( + container_name=self._container_name, blob_name=self._filepath, + **self._blob_to_bytes_args) + bytes_stream = io.BytesIO(blob.content) + return pd.read_json(bytes_stream, encoding=self._encoding, **self._load_args) + + def _save(self, data: pd.DataFrame) -> None: + blob_service = BlockBlobService(**self._credentials) + blob_service.create_blob_from_bytes( + container_name=self._container_name, + blob_name=self._filepath, + blob=data.to_json(**self._save_args).encode(self._encoding), + **self._blob_from_bytes_args + ) diff --git a/tests/contrib/io/azure/test_json_blob.py b/tests/contrib/io/azure/test_json_blob.py new file mode 100644 index 0000000000..18fc0c6a36 --- /dev/null +++ b/tests/contrib/io/azure/test_json_blob.py @@ -0,0 +1,168 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=unused-argument + +from unittest.mock import patch + +import pandas as pd +import pytest + +from kedro.contrib.io.azure import JSONBlobDataSet +from kedro.io import DataSetError + +TEST_FILE_NAME = "test.json" +TEST_CONTAINER_NAME = "test_bucket" +TEST_CREDENTIALS = {"account_name": "ACCOUNT_NAME", "account_key": "ACCOUNT_KEY"} + + +@pytest.fixture() +def dummy_dataframe(): + return pd.DataFrame({"col1": [1, 2], "col2": [4, 5], "col3": [5, 6]}) + + +@pytest.fixture +def blob_json_data_set(): + def make_data_set(load_args=None, save_args=None): + return JSONBlobDataSet( + filepath=TEST_FILE_NAME, + container_name=TEST_CONTAINER_NAME, + encoding="utf-8", + blob_to_bytes_args={"to_extra": 42}, + blob_from_bytes_args={"from_extra": 42}, + credentials=TEST_CREDENTIALS, + load_args=load_args, + save_args=save_args, + ) + + return make_data_set + + +@patch("kedro.contrib.io.azure.json_blob.BlockBlobService") +def test_pass_credentials_load(blob_service, blob_json_data_set): + try: + blob_json_data_set().load() + except DataSetError: + # We don't care about it for this test, we just want to know that + # azure service was called with the right parameters + pass + blob_service.assert_called_with( + account_name="ACCOUNT_NAME", account_key="ACCOUNT_KEY" + ) + + +@patch("kedro.contrib.io.azure.json_blob.BlockBlobService") +def test_pass_credentials_save(blob_service, blob_json_data_set, dummy_dataframe): + blob_json_data_set().save(dummy_dataframe) + blob_service.assert_called_with( + account_name="ACCOUNT_NAME", account_key="ACCOUNT_KEY" + ) + + +@patch("kedro.contrib.io.azure.json_blob.BlockBlobService.get_blob_to_bytes") +def test_load_blob_args(get_blob_mock, blob_json_data_set): + try: + blob_json_data_set().load() + except DataSetError: + pass + + get_blob_mock.assert_called_with( + container_name=TEST_CONTAINER_NAME, blob_name=TEST_FILE_NAME, to_extra=42 + ) + + +class BlobMock: + def __init__(self): + self._content = '{"name": ["tom", "bob"], "age": [3, 4]}\n'.encode("utf-8") + + @property + def content(self): + return self._content + + +def mock_load_func(): + def mocked(*args, **kwargs): + return BlobMock() + + return mocked + + +@patch( + "kedro.contrib.io.azure.json_blob.BlockBlobService.get_blob_to_bytes", + new_callable=mock_load_func, +) +def test_load(get_blob_mock, blob_json_data_set): + result = blob_json_data_set().load()[["name", "age"]] + expected = pd.DataFrame({"name": ["tom", "bob"], "age": [3, 4]}) + expected = expected[["name", "age"]] + assert result.equals(expected) + + +class BlobMockDelimited: + def __init__(self): + self._content = '{"name": "tom", "age": 3}\n{"name": "bob", "age": 4}\n'.encode("utf-8") + + @property + def content(self): + return self._content + + +def mock_load_delimited_func(): + def mocked(*args, **kwargs): + return BlobMockDelimited() + + return mocked + + +@patch( + "kedro.contrib.io.azure.json_blob.BlockBlobService.get_blob_to_bytes", + new_callable=mock_load_delimited_func, +) +def test_load_delimited(get_blob_mock, blob_json_data_set): + result = blob_json_data_set(load_args={"lines": True}).load()[["name", "age"]] + expected = pd.DataFrame({"name": ["tom", "bob"], "age": [3, 4]}) + expected = expected[["name", "age"]] + assert result.equals(expected) + + +@patch("kedro.contrib.io.azure.json_blob.BlockBlobService.create_blob_from_bytes") +def test_save_blob_args(blob_from_mock, blob_json_data_set, dummy_dataframe): + blob_json_data_set().save(dummy_dataframe) + blob_from_mock.assert_called_with( + container_name=TEST_CONTAINER_NAME, + blob_name=TEST_FILE_NAME, + blob=dummy_dataframe.to_json().encode("utf-8"), + from_extra=42, + ) + + +def test_str_representation(blob_json_data_set): + data_set = blob_json_data_set(save_args={"option": "value"}) + assert "JSONBlobDataSet" in str(data_set) + assert TEST_CREDENTIALS["account_name"] not in str(data_set) + assert TEST_CREDENTIALS["account_key"] not in str(data_set) From cc1d37523a72237fe9d1c5fbdc817da35e812131 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Fri, 2 Aug 2019 10:43:37 +0100 Subject: [PATCH 56/83] Black for JSONBlobDataSet (#169) --- kedro/contrib/io/azure/json_blob.py | 14 ++++++++------ tests/contrib/io/azure/test_json_blob.py | 4 +++- 2 files changed, 11 insertions(+), 7 deletions(-) diff --git a/kedro/contrib/io/azure/json_blob.py b/kedro/contrib/io/azure/json_blob.py index 67ddc0c9c3..c3cbc1b31e 100644 --- a/kedro/contrib/io/azure/json_blob.py +++ b/kedro/contrib/io/azure/json_blob.py @@ -108,22 +108,24 @@ def __init__( All defaults are preserved, but "index", which is set to False. """ - self._save_args = ( - {**save_args} if save_args else {} - ) + self._save_args = {**save_args} if save_args else {} self._load_args = load_args if load_args else {} self._filepath = filepath self._encoding = encoding self._container_name = container_name self._credentials = credentials if credentials else {} self._blob_to_bytes_args = blob_to_bytes_args if blob_to_bytes_args else {} - self._blob_from_bytes_args = blob_from_bytes_args if blob_from_bytes_args else {} + self._blob_from_bytes_args = ( + blob_from_bytes_args if blob_from_bytes_args else {} + ) def _load(self) -> pd.DataFrame: blob_service = BlockBlobService(**self._credentials) blob = blob_service.get_blob_to_bytes( - container_name=self._container_name, blob_name=self._filepath, - **self._blob_to_bytes_args) + container_name=self._container_name, + blob_name=self._filepath, + **self._blob_to_bytes_args + ) bytes_stream = io.BytesIO(blob.content) return pd.read_json(bytes_stream, encoding=self._encoding, **self._load_args) diff --git a/tests/contrib/io/azure/test_json_blob.py b/tests/contrib/io/azure/test_json_blob.py index 18fc0c6a36..cbb72d38b8 100644 --- a/tests/contrib/io/azure/test_json_blob.py +++ b/tests/contrib/io/azure/test_json_blob.py @@ -125,7 +125,9 @@ def test_load(get_blob_mock, blob_json_data_set): class BlobMockDelimited: def __init__(self): - self._content = '{"name": "tom", "age": 3}\n{"name": "bob", "age": 4}\n'.encode("utf-8") + self._content = '{"name": "tom", "age": 3}\n{"name": "bob", "age": 4}\n'.encode( + "utf-8" + ) @property def content(self): From d40de0e73dc4a9336030e6500ace03adaf9710dc Mon Sep 17 00:00:00 2001 From: Anton Kirilenko Date: Fri, 2 Aug 2019 14:11:53 +0100 Subject: [PATCH 57/83] Make licence check a part of pre-commit (#170) --- .pre-commit-config.yaml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index d062c7c5dd..661aa5c498 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -73,3 +73,8 @@ repos: language: system pass_filenames: false entry: python -m tools.black_runner kedro extras features tests + - id: legal + name: "Licence check" + language: system + pass_filenames: false + entry: make legal From 2d150bd8c598c8830a70cfa959608250ff974d4b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lorena=20B=C4=83lan?= Date: Fri, 2 Aug 2019 16:02:58 +0100 Subject: [PATCH 58/83] [KED-816] Unpin requirements (#162) --- kedro/io/excel_local.py | 4 +++- requirements.txt | 20 ++++++++++---------- 2 files changed, 13 insertions(+), 11 deletions(-) diff --git a/kedro/io/excel_local.py b/kedro/io/excel_local.py index 0db201c992..5631f9697c 100644 --- a/kedro/io/excel_local.py +++ b/kedro/io/excel_local.py @@ -126,7 +126,9 @@ def _load(self) -> Union[pd.DataFrame, Dict[str, pd.DataFrame]]: def _save(self, data: pd.DataFrame) -> None: save_path = Path(self._get_save_path()) save_path.parent.mkdir(parents=True, exist_ok=True) - with pd.ExcelWriter(str(save_path), engine=self._engine) as writer: + with pd.ExcelWriter( # pylint: disable=abstract-class-instantiated + str(save_path), engine=self._engine + ) as writer: data.to_excel(writer, **self._save_args) load_path = Path(self._get_load_path()) diff --git a/requirements.txt b/requirements.txt index 74e243a34b..40f54b9713 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,15 +1,15 @@ -anyconfig==0.9.7 +anyconfig>=0.9.7, <1.0 click<8.0 -cookiecutter==1.6.0 -memory_profiler==0.54.0 -pandas>=0.23.0, <0.25.0 +cookiecutter>=1.6.0, <2.0 +memory_profiler>=0.50.0, <1.0 +pandas>=0.23.0, <1.0 pyarrow>=0.12.0, <1.0.0 -python-json-logger==0.1.9 +python-json-logger>=0.1.9, <1.0 PyYAML>=4.2, <6.0 -requests>=2.21.0, <3.0.0 -s3fs>=0.3.0, <1.0 +requests>=2.20.0, <3.0 +s3fs>=0.3.0, <1.0 # Needs to be at least 0.3.0 to make use of `cachable` attribute on S3FileSystem SQLAlchemy>=1.2.0, <2.0 -tables==3.5.1 -toposort==1.5 +tables>=3.4.4, <4.0 +toposort>=1.5, <2.0 # Needs to be at least 1.5 to be able to raise CircularDependencyError xlrd>=1.0.0, <2.0 -xlsxwriter>=1.0.7, <2.0 +xlsxwriter>=1.0.0, <2.0 From 8c93ba9aca72ed25c21c90aa7944eb8abfc0fb64 Mon Sep 17 00:00:00 2001 From: Anton Kirilenko Date: Fri, 2 Aug 2019 16:59:03 +0100 Subject: [PATCH 59/83] [KED-902] Refactoring CircleCI config (#159) --- .circleci/config.yml | 242 ++++++++++++++++++++++++++++++++----------- 1 file changed, 182 insertions(+), 60 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 58e657324a..a93aac1101 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -1,67 +1,189 @@ version: 2 + +images: + - &py35 quantumblacklabs/kedro_builder:3.5.2 + - &py36 quantumblacklabs/kedro_builder:3.6 + - &py37 quantumblacklabs/kedro_builder:3.7 + +utils: + setup_conda: &setup_conda + name: Activate conda environment + command: | + echo ". /home/circleci/miniconda/etc/profile.d/conda.sh" >> $BASH_ENV + echo "conda deactivate; conda activate kedro_builder" >> $BASH_ENV + + setup_requirements: &setup_requirements + name: Install PIP dependencies + command: | + # echo python version for debugging + echo "Python version: $(python --version 2>&1)" + + # Install pip setuptools + make install-pip-setuptools + + # Install requirements + pip install -r requirements.txt -U + + # venv is required for some pre-commit hooks + conda install -y virtualenv + + # Install test requirements + pip install -r test_requirements.txt -U + + setup_pre_commit: &setup_pre_commit + name: Install pre-commit hooks + command: | + pre-commit install --install-hooks + pre-commit install --hook-type pre-push + + + linters: &linters + name: Run pylint and flake8 + command: | + make lint + + unit_tests: &unit_tests + name: Run tests + command: | + make test + + e2e_tests: &e2e_tests + name: Run all end to end tests + command: | + make e2e-tests + + build_docs: &build_docs + # NOTE: doesn't work on python 3.5 + name: Build documentation + command: | + make build-docs + + check_legal: &check_legal + name: Check for legal compliance + command: | + make legal + + steps_unit_tests: &steps_unit_tests + steps: + - checkout + - run: *setup_conda + - run: *setup_requirements + - run: *unit_tests + + steps_linters: &steps_linters + steps: + - checkout + - run: *setup_conda + - run: *setup_requirements + - run: *setup_pre_commit + - run: *linters + - run: *check_legal + + steps_e2e_tests: &steps_e2e_tests + steps: + - checkout + - run: *setup_conda + - run: *setup_requirements + - run: *e2e_tests + + steps_build_docs: &steps_build_docs + # NOTE: requires python3.6+ + steps: + - checkout + - run: *setup_conda + - run: *setup_requirements + - run: *build_docs + jobs: - build_35: &DEFAULT - docker: - - image: quantumblacklabs/kedro_builder:3.5.2 - steps: - - checkout - - run: &CONDA_SETUP - name: Activate conda environment - command: | - echo ". /home/circleci/miniconda/etc/profile.d/conda.sh" >> $BASH_ENV - echo "conda deactivate; conda activate kedro_builder" >> $BASH_ENV - - run: &PIP_SETUP - name: Install PIP dependencies - command: | - # echo python version for debugging - echo "Python version: $(python --version 2>&1)" - - # Install pip setuptools - make install-pip-setuptools - - # Install requirements - pip install -r requirements.txt -U - - # venv is required for some pre-commit hooks - conda install -y virtualenv - - # Install test requirements - make install-pre-commit - - run: - name: Run pylint and flake8 - command: | - make lint - - run: - name: Run tests - command: | - make test - - run: - name: Run all end to end tests - command: | - make e2e-tests - - run: - name: Check docs build on Python 3.6+ - command: | - if python -c "import sys; sys.exit(sys.version_info[:2] == (3, 5))" ; then - make build-docs - fi - - run: - name: Check for legal compliance - command: | - make legal - build_36: - <<: *DEFAULT - docker: - - image: quantumblacklabs/kedro_builder:3.6 - build_37: - <<: *DEFAULT - docker: - - image: quantumblacklabs/kedro_builder:3.7 + unit_tests_35: + docker: + - image: *py35 + <<: *steps_unit_tests + + linters_35: + docker: + - image: *py35 + <<: *steps_linters + + e2e_tests_35: + docker: + - image: *py35 + <<: *steps_e2e_tests + + unit_tests_36: + docker: + - image: *py36 + <<: *steps_unit_tests + + linters_36: + docker: + - image: *py36 + <<: *steps_linters + + e2e_tests_36: + docker: + - image: *py36 + <<: *steps_e2e_tests + + docs_36: + docker: + - image: *py36 + <<: *steps_build_docs + + unit_tests_37: + docker: + - image: *py37 + <<: *steps_unit_tests + + linters_37: + docker: + - image: *py37 + <<: *steps_linters + + e2e_tests_37: + docker: + - image: *py37 + <<: *steps_e2e_tests + + docs_37: + docker: + - image: *py37 + <<: *steps_build_docs + + all_circleci_checks_succeeded: + docker: + - image: circleci/python # any light-weight image + + steps: + - run: + name: Success! + command: echo "All checks passed" workflows: version: 2 regular: jobs: - - build_35 - - build_36 - - build_37 + - unit_tests_35 + - linters_35 + - e2e_tests_35 + - unit_tests_36 + - linters_36 + - e2e_tests_36 + - docs_36 + - unit_tests_37 + - linters_37 + - e2e_tests_37 + - docs_37 + - all_circleci_checks_succeeded: + requires: + - unit_tests_35 + - linters_35 + - e2e_tests_35 + - unit_tests_36 + - linters_36 + - e2e_tests_36 + - docs_36 + - unit_tests_37 + - linters_37 + - e2e_tests_37 + - docs_37 From a029cea7a5418a800215940565a1d2fc8181f952 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Fri, 2 Aug 2019 17:55:27 +0100 Subject: [PATCH 60/83] [KED-912] Allow users to use `params:` prefix in node inputs/outputs (#165) --- RELEASE.md | 1 + .../source/03_tutorial/04_create_pipelines.md | 35 ++++++++++++++++++- kedro/context/context.py | 7 +++- .../nodes/example.py | 5 ++- .../pipeline.py | 2 +- 5 files changed, 44 insertions(+), 6 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 15562e7248..f173a8aa61 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -7,6 +7,7 @@ * Added a new `--node` flag to `kedro run`, allowing users to run only the nodes with the specified names. * Added `CSVHTTPDataSet` to load CSV using HTTP(s) links. * Added new `--from-nodes` and `--to-nodes` run arguments, allowing users to run a range of nodes from the pipeline. +* Added prefix `params:` to the parameters specified in `parameters.yml` which allows users to differentiate between their different parameters node inputs and outputs * Added `JSONBlobDataSet` to load json (-delimited) files from Azure Blob Storage * Jupyter Lab/Notebook now starts with only one kernel by default. diff --git a/docs/source/03_tutorial/04_create_pipelines.md b/docs/source/03_tutorial/04_create_pipelines.md index 4463d12aae..54db5e26af 100644 --- a/docs/source/03_tutorial/04_create_pipelines.md +++ b/docs/source/03_tutorial/04_create_pipelines.md @@ -365,7 +365,40 @@ test_size: 0.2 random_state: 3 ``` -These are the parameters fed into the `DataCatalog` when the pipeline is executed. +These are the parameters fed into the `DataCatalog` when the pipeline is executed. Alternatively, the parameters specified in `parameters.yml` can also be referenced using `params:` prefix in the nodes. For example, you could pass `test_size` and `random_state` parameters as follows: +```python + +def split_data(data: pd.DataFrame, test_size: str, random_state: str) -> List: + """ + Arguments now accepts `test_size` and `random_state` rather than `parameters: Dict`. + """ + X = data[ + [ + "engines", + "passenger_capacity", + "crew", + "d_check_complete", + "moon_clearance_complete", + ] + ].values + y = data["price"].values + X_train, X_test, y_train, y_test = train_test_split( + X, y, test_size=test_size, random_state=random_state + ) + + return [X_train, X_test, y_train, y_test] + +# ... +ds_pipeline = Pipeline( + [ + node( + split_data, + ["master_table", "params:test_size", "params:random_state"], + ["X_train", "X_test", "y_train", "y_test"], + ) + ] + ) +``` Next, register the dataset, which will save the trained model, by adding the following definition to `conf/base/catalog.yml`: diff --git a/kedro/context/context.py b/kedro/context/context.py index 41d6c39e27..0137a71cf9 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -199,7 +199,12 @@ def _get_feed_dict(self) -> Dict[str, Any]: ) ) params = {} - return {"parameters": params} + + feed_dict = {"parameters": params} + for param_name, param_value in params.items(): + key = "params:{}".format(param_name) + feed_dict[key] = param_value + return feed_dict def _get_config_credentials(self) -> Dict[str, Any]: """Getter for credentials specified in credentials directory.""" diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/nodes/example.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/nodes/example.py index 4b51260e55..c3c2f899a9 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/nodes/example.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/nodes/example.py @@ -40,14 +40,13 @@ import pandas as pd -def split_data(data: pd.DataFrame, parameters: Dict[str, Any]) -> Dict[str, Any]: +def split_data(data: pd.DataFrame, example_test_data_ratio: str) -> Dict[str, Any]: """Node for splitting the classical Iris data set into training and test sets, each split into features and labels. The split ratio parameter is taken from conf/project/parameters.yml. The data and the parameters will be loaded and provided to your function automatically when the pipeline is executed and it is time to run this node. """ - test_data_ratio = parameters["example_test_data_ratio"] data.columns = [ "sepal_length", "sepal_width", @@ -64,7 +63,7 @@ def split_data(data: pd.DataFrame, parameters: Dict[str, Any]) -> Dict[str, Any] # Split to training and testing data n = data.shape[0] - n_test = int(n * test_data_ratio) + n_test = int(n * example_test_data_ratio) training_data = data.iloc[n_test:, :].reset_index(drop=True) test_data = data.iloc[:n_test, :].reset_index(drop=True) diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline.py index a6d3d12b9a..b606be92a6 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/pipeline.py @@ -73,7 +73,7 @@ def create_pipeline(**kwargs): [ node( split_data, - ["example_iris_data", "parameters"], + ["example_iris_data", "params:example_test_data_ratio"], dict( train_x="example_train_x", train_y="example_train_y", From 706f685c58228385b1d8356b6f39fe48ab9a396c Mon Sep 17 00:00:00 2001 From: Evan Miller Date: Mon, 5 Aug 2019 13:58:53 +0100 Subject: [PATCH 61/83] Supporting conda install in kedro install command (#33) --- RELEASE.md | 4 +++- docs/source/02_getting_started/03_new_project.md | 2 ++ kedro/template/{{ cookiecutter.repo_name }}/README.md | 2 +- kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py | 8 +++++--- 4 files changed, 11 insertions(+), 5 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index f173a8aa61..ebb88e00f1 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -10,6 +10,8 @@ * Added prefix `params:` to the parameters specified in `parameters.yml` which allows users to differentiate between their different parameters node inputs and outputs * Added `JSONBlobDataSet` to load json (-delimited) files from Azure Blob Storage * Jupyter Lab/Notebook now starts with only one kernel by default. +* Running `kedro install` will install packages to conda environment if `src/environment.yml` exists in your project. + ## Bug fixes and other changes * Documentation improvements including instructions on how to initialise a Spark session using YAML configuration. @@ -76,7 +78,7 @@ If you defined any custom dataset classes which support versioning in your proje These steps should have brought your project to Kedro 0.15.0. There might be some more minor tweaks needed as every project is unique, but now you have a pretty solid base to work with. If you run into any problems, please consult the [Kedro documentation](https://kedro.readthedocs.io). ## Thanks for supporting contributions -[Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman), [Mayur Chougule](https://github.com/mmchougule), [Marat Kopytjuk](https://github.com/kopytjuk) +[Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman), [Mayur Chougule](https://github.com/mmchougule), [Marat Kopytjuk](https://github.com/kopytjuk), [Evan Miller](https://github.com/evanmiller29) # Release 0.14.3 diff --git a/docs/source/02_getting_started/03_new_project.md b/docs/source/02_getting_started/03_new_project.md index cd079e895b..fda47d2a06 100644 --- a/docs/source/02_getting_started/03_new_project.md +++ b/docs/source/02_getting_started/03_new_project.md @@ -61,3 +61,5 @@ kedro install ``` This command will install dependencies listed in `src/requirements.txt`. + +If your project has conda dependencies which you would like to install with this command, you can create a `src/environment.yml` file and list them there. diff --git a/kedro/template/{{ cookiecutter.repo_name }}/README.md b/kedro/template/{{ cookiecutter.repo_name }}/README.md index c3dc8018c1..6742e3e6cb 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/README.md +++ b/kedro/template/{{ cookiecutter.repo_name }}/README.md @@ -21,7 +21,7 @@ In order to get the best out of the template: ## Installing dependencies -Dependencies should be declared in `src/requirements.txt`. +Dependencies should be declared in `src/requirements.txt` for pip installation and `src/environment.yml` for conda installation. To install them, run: diff --git a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py index b66c6f151a..6c33b5ca76 100755 --- a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py @@ -92,7 +92,6 @@ OVERWRITE_HELP = """If Python file already exists for the equivalent notebook, overwrite its contents.""" - def __get_kedro_context__(**kwargs): """Used to provide this project's context to plugins.""" from {{cookiecutter.python_package}}.run import __kedro_context__ @@ -145,9 +144,12 @@ def test(args): @cli.command() def install(): - """Install project dependencies from requirements.txt.""" - python_call("pip", ["install", "-U", "-r", "src/requirements.txt"]) + """Install project dependencies from both requirements.txt and environment.yml (optional).""" + if (Path.cwd() / "src" / "environment.yml").is_file(): + call(["conda", "install", "--file", "src/environment.yml", "--yes"]) + + python_call("pip", ["install", "-U", "-r", "src/requirements.txt"]) @forward_command(cli, forward_help=True) def ipython(args): From 20495a5a08b714bd1b7870d0acb68629081e1564 Mon Sep 17 00:00:00 2001 From: Deepyaman Datta Date: Tue, 6 Aug 2019 05:46:05 -0500 Subject: [PATCH 62/83] Only check import format in ``kedro lint`` command (#65) --- docs/source/06_resources/03_lint.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/06_resources/03_lint.md b/docs/source/06_resources/03_lint.md index 90ee679d5f..dfff09cd36 100644 --- a/docs/source/06_resources/03_lint.md +++ b/docs/source/06_resources/03_lint.md @@ -19,7 +19,7 @@ Alternatively, you can opt to use it as a plugin to your Kedro project. To do th @cli.command() def lint(): """Check the Python code quality.""" - python_call("isort", []) + python_call("isort", ["-rc", "src/", "src/tests", "kedro_cli.py"]) python_call( "pylint", ["-j", "0", "src/", "kedro_cli.py"] ) From 465c866fa4a55842341a36a3cb4def3f77e6d9b8 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 6 Aug 2019 14:12:08 +0100 Subject: [PATCH 63/83] Update lodash from 4.17.11 to 4.17.15 in /docs (#172) --- docs/package-lock.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/package-lock.json b/docs/package-lock.json index 7f806ff328..1fa96d1db3 100644 --- a/docs/package-lock.json +++ b/docs/package-lock.json @@ -2446,9 +2446,9 @@ } }, "lodash": { - "version": "4.17.11", - "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.11.tgz", - "integrity": "sha512-cQKh8igo5QUhZ7lg38DYWAxMvjSAKG0A8wGSVimP07SIUEK2UO+arSRKbRZWtelMtN5V0Hkwh5ryOto/SshYIg==", + "version": "4.17.15", + "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.15.tgz", + "integrity": "sha512-8xOcRHvCjnocdS5cpwXQXVzmmh5e5+saE2QGoeQmbKmRS6J3VQppPOIt0MnmE+4xlZoumy0GPG0D0MVIQbNA1A==", "dev": true }, "lodash.isfinite": { From e466af6e71d8030ded26e447c60c4edb8c981510 Mon Sep 17 00:00:00 2001 From: Yusuke Minami <33908456+Minyus@users.noreply.github.com> Date: Tue, 6 Aug 2019 22:00:24 +0800 Subject: [PATCH 64/83] Return the output datasets (#67) --- RELEASE.md | 2 +- kedro/context/context.py | 9 ++++++--- tests/context/test_context.py | 10 ++++++++++ 3 files changed, 17 insertions(+), 4 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index ebb88e00f1..5c12932343 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -2,7 +2,7 @@ ## Major features and improvements * Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter notebook cells into Kedro nodes. -* Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config). +* Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config, runner). * Added a new I/O module `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) * Added a new `--node` flag to `kedro run`, allowing users to run only the nodes with the specified names. * Added `CSVHTTPDataSet` to load CSV using HTTP(s) links. diff --git a/kedro/context/context.py b/kedro/context/context.py index 0137a71cf9..533b915422 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -239,7 +239,7 @@ def run( # pylint: disable=too-many-arguments node_names: Iterable[str] = None, from_nodes: Iterable[str] = None, to_nodes: Iterable[str] = None, - ) -> None: + ) -> Dict[str, Any]: """Runs the pipeline with a specified runner. Args: @@ -258,7 +258,10 @@ def run( # pylint: disable=too-many-arguments Raises: KedroContextError: If the resulting ``Pipeline`` is empty or incorrect tags are provided. - + Returns: + Any node outputs that cannot be processed by the ``DataCatalog``. + These are returned in a dictionary, where the keys are defined + by the node outputs. """ # Report project name logging.info("** Kedro project {}".format(self.project_path.name)) @@ -283,7 +286,7 @@ def run( # pylint: disable=too-many-arguments # Run the runner runner = runner or SequentialRunner() - runner.run(pipeline, self.catalog) + return runner.run(pipeline, self.catalog) def load_context(project_path: Union[str, Path], **kwargs) -> KedroContext: diff --git a/tests/context/test_context.py b/tests/context/test_context.py index 8669d49f3f..9044a28c69 100644 --- a/tests/context/test_context.py +++ b/tests/context/test_context.py @@ -279,6 +279,16 @@ def test_pipeline(self, dummy_context): @pytest.mark.usefixtures("config_dir") class TestKedroContextRun: + def test_run_output(self, dummy_context, dummy_dataframe): + dummy_context.catalog.save("cars", dummy_dataframe) + outputs = dummy_context.run() + pd.testing.assert_frame_equal(outputs['planes'], dummy_dataframe) + + def test_run_no_output(self, dummy_context, dummy_dataframe): + dummy_context.catalog.save("cars", dummy_dataframe) + outputs = dummy_context.run(node_names=["node1"]) + assert not outputs + def test_default_run(self, dummy_context, dummy_dataframe, caplog): dummy_context.catalog.save("cars", dummy_dataframe) dummy_context.run() From 267295163f2e54bf1ad3078bc37ee5a8a3a479ed Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Tue, 6 Aug 2019 16:12:15 +0100 Subject: [PATCH 65/83] Use python 3.5 everywhere (#171) --- .circleci/config.yml | 2 +- appveyor.yml | 4 ++-- features/steps/util.py | 23 +---------------------- tests/context/test_context.py | 2 +- 4 files changed, 5 insertions(+), 26 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index a93aac1101..78a85178fb 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -1,7 +1,7 @@ version: 2 images: - - &py35 quantumblacklabs/kedro_builder:3.5.2 + - &py35 quantumblacklabs/kedro_builder:3.5 - &py36 quantumblacklabs/kedro_builder:3.6 - &py37 quantumblacklabs/kedro_builder:3.7 diff --git a/appveyor.yml b/appveyor.yml index 341e14ce8d..29144d6aee 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -5,7 +5,7 @@ environment: # APPVEYOR_RDP_PASSWORD: matrix: - - PYTHON_VERSION: 3.5.2 + - PYTHON_VERSION: 3.5 MINICONDA3: C:\Miniconda3-x64 PYTHON_ARCH: "64" @@ -13,7 +13,7 @@ environment: MINICONDA3: C:\Miniconda3-x64 PYTHON_ARCH: "64" - - PYTHON_VERSION: 3.7.2 + - PYTHON_VERSION: 3.7 MINICONDA3: C:\Miniconda3-x64 PYTHON_ARCH: "64" diff --git a/features/steps/util.py b/features/steps/util.py index 82872fc46b..e10aae2c05 100644 --- a/features/steps/util.py +++ b/features/steps/util.py @@ -31,7 +31,6 @@ import os import re -import subprocess import tempfile import venv from contextlib import contextmanager @@ -40,9 +39,6 @@ from typing import Any, Callable, Iterator, List import pandas as pd -import requests - -PIP_INSTALL_SCRIPT = "https://bootstrap.pypa.io/get-pip.py" def get_sample_csv_content(): @@ -136,29 +132,12 @@ def wait_for( def create_new_venv() -> Path: """Create a new venv. - Note: Due to a bug in Python 3.5.2 pip needs to be manually installed. - Returns: path to created venv """ # Create venv venv_dir = Path(tempfile.mkdtemp()) - venv.main([str(venv_dir), "--without-pip"]) - - if os.name == "posix": - python_executable = venv_dir / "bin" / "python" - else: - python_executable = venv_dir / "Scripts" / "python.exe" - - # Download and run pip installer - # Windows blocks access unless delete set to False - with tempfile.NamedTemporaryFile(delete=False) as tmp_file: - tmp_file.write(requests.get(PIP_INSTALL_SCRIPT).content) - tmp_file.flush() - os.fsync(tmp_file.fileno()) - subprocess.check_call([str(python_executable), tmp_file.name]) - - os.unlink(tmp_file.name) + venv.main([str(venv_dir)]) return venv_dir diff --git a/tests/context/test_context.py b/tests/context/test_context.py index 9044a28c69..16c4ee2198 100644 --- a/tests/context/test_context.py +++ b/tests/context/test_context.py @@ -282,7 +282,7 @@ class TestKedroContextRun: def test_run_output(self, dummy_context, dummy_dataframe): dummy_context.catalog.save("cars", dummy_dataframe) outputs = dummy_context.run() - pd.testing.assert_frame_equal(outputs['planes'], dummy_dataframe) + pd.testing.assert_frame_equal(outputs["planes"], dummy_dataframe) def test_run_no_output(self, dummy_context, dummy_dataframe): dummy_context.catalog.save("cars", dummy_dataframe) From 3f89a6a5a353d5e0ed94f7b58df2b7e251fae64a Mon Sep 17 00:00:00 2001 From: Nikos Tsaousis Date: Wed, 7 Aug 2019 09:47:37 +0100 Subject: [PATCH 66/83] [KED-917] Add CachedDataSet, a dataset that caches data in memory to avoid io (#69) --- CODEOWNERS | 2 + RELEASE.md | 2 +- docs/source/05_api_docs/kedro.contrib.io.rst | 1 + kedro/contrib/io/cached/__init__.py | 34 ++++ kedro/contrib/io/cached/cached_dataset.py | 114 ++++++++++++ tests/contrib/io/cached/__init__.py | 0 .../contrib/io/cached/test_cached_dataset.py | 167 ++++++++++++++++++ 7 files changed, 319 insertions(+), 1 deletion(-) create mode 100644 kedro/contrib/io/cached/__init__.py create mode 100644 kedro/contrib/io/cached/cached_dataset.py create mode 100644 tests/contrib/io/cached/__init__.py create mode 100644 tests/contrib/io/cached/test_cached_dataset.py diff --git a/CODEOWNERS b/CODEOWNERS index ddb49170f5..6ed9f14ea6 100644 --- a/CODEOWNERS +++ b/CODEOWNERS @@ -20,3 +20,5 @@ README.md @idanov RELEASE.md @idanov LICENSE.md @idanov legal_header.txt @idanov + +kedro/contrib/io/cached @tsanikgr diff --git a/RELEASE.md b/RELEASE.md index 5c12932343..b2b247f815 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -11,7 +11,7 @@ * Added `JSONBlobDataSet` to load json (-delimited) files from Azure Blob Storage * Jupyter Lab/Notebook now starts with only one kernel by default. * Running `kedro install` will install packages to conda environment if `src/environment.yml` exists in your project. - +- Added `CachedDataSet` in `contrib` which will cache data in memory to avoid io/network operations. It will clear the cache once a dataset is no longer needed by a pipeline. (by [@tsanikgr](https://github.com/tsanikgr)) ## Bug fixes and other changes * Documentation improvements including instructions on how to initialise a Spark session using YAML configuration. diff --git a/docs/source/05_api_docs/kedro.contrib.io.rst b/docs/source/05_api_docs/kedro.contrib.io.rst index 6b860d766c..670ae53276 100644 --- a/docs/source/05_api_docs/kedro.contrib.io.rst +++ b/docs/source/05_api_docs/kedro.contrib.io.rst @@ -25,3 +25,4 @@ kedro.contrib.io kedro.contrib.io.pyspark.SparkDataSet kedro.contrib.io.pyspark.SparkJDBCDataSet kedro.contrib.io.parquet.ParquetS3DataSet + kedro.contrib.io.cached.CachedDataSet diff --git a/kedro/contrib/io/cached/__init__.py b/kedro/contrib/io/cached/__init__.py new file mode 100644 index 0000000000..c78235f9c6 --- /dev/null +++ b/kedro/contrib/io/cached/__init__.py @@ -0,0 +1,34 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This module contains ``CachedDataSet``, a dataset wrapper which caches in memory the data saved, +so that the user avoids io operations with slow storage media +""" + +from .cached_dataset import CachedDataSet # NOQA diff --git a/kedro/contrib/io/cached/cached_dataset.py b/kedro/contrib/io/cached/cached_dataset.py new file mode 100644 index 0000000000..3eee0b2a6a --- /dev/null +++ b/kedro/contrib/io/cached/cached_dataset.py @@ -0,0 +1,114 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +This module contains ``CachedDataSet``, a dataset wrapper which caches in memory the data saved, +so that the user avoids io operations with slow storage media +""" +import logging +from typing import Any, Dict, Union + +from kedro.io import AbstractDataSet, MemoryDataSet, Version +from kedro.io.core import VERSIONED_FLAG_KEY + + +class CachedDataSet(AbstractDataSet): + """"``CachedDataSet`` is a dataset wrapper which caches in memory the data saved, + so that the user avoids io operations with slow storage media. + + You can also specify a ``CachedDataSet`` in catalog.yml: + :: + + >>> test_ds: + >>> type: kedro.contrib.io.cached.CachedDataSet + >>> versioned: true + >>> dataset: + >>> type: CSVLocalDataSet + >>> filepath: example.csv + + Please note that if your dataset is versioned, this should be indicated in the wrapper + class as shown above. + """ + + def __init__(self, dataset: Union[AbstractDataSet, Dict], version: Version = None): + if isinstance(dataset, Dict): + self._dataset = self._from_config(dataset, version) + elif isinstance(dataset, AbstractDataSet): + self._dataset = dataset + else: + raise ValueError( + "The argument type of `dataset` should be either a dict/YAML " + "representation of the dataset, or the actual dataset object." + ) + self._cache = MemoryDataSet() + + def _release(self) -> None: + self._cache.release() + self._dataset.release() + + @staticmethod + def _from_config(config, version): + if VERSIONED_FLAG_KEY in config: + raise ValueError( + "Cached datasets should specify that they are versioned in the " + "`CachedDataSet`, not in the wrapped dataset." + ) + if version: + config[VERSIONED_FLAG_KEY] = True + return AbstractDataSet.from_config( + "_cached", config, version.load, version.save + ) + return AbstractDataSet.from_config("_cached", config) + + def _describe(self) -> Dict[str, Any]: + return { + "dataset": self._dataset._describe(), # pylint: disable=protected-access + "cache": self._cache._describe(), # pylint: disable=protected-access + } + + def _load(self): + data = self._cache.load() if self._cache.exists() else self._dataset.load() + + if not self._cache.exists(): + self._cache.save(data) + + return data + + def _save(self, data: Any) -> None: + self._dataset.save(data) + self._cache.save(data) + + def _exists(self) -> bool: + return self._cache.exists() or self._dataset.exists() + + def __getstate__(self): + # clearing the cache can be prevented by modifying + # how parallel runner handles datasets (not trivial!) + logging.getLogger(__name__).warning("%s: clearing cache to pickle.", str(self)) + self._cache.release() + return self.__dict__ diff --git a/tests/contrib/io/cached/__init__.py b/tests/contrib/io/cached/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/io/cached/test_cached_dataset.py b/tests/contrib/io/cached/test_cached_dataset.py new file mode 100644 index 0000000000..7b5f74be5a --- /dev/null +++ b/tests/contrib/io/cached/test_cached_dataset.py @@ -0,0 +1,167 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +# pylint: disable=protected-access +import pickle +from io import StringIO + +import pytest +import yaml + +from kedro.contrib.io.cached import CachedDataSet +from kedro.io import CSVLocalDataSet, DataCatalog, DataSetError, MemoryDataSet + +YML_CONFIG = """ +test_ds: + type: kedro.contrib.io.cached.CachedDataSet + dataset: + type: CSVLocalDataSet + filepath: example.csv +""" + +YML_CONFIG_VERSIONED = """ +test_ds: + type: kedro.contrib.io.cached.CachedDataSet + versioned: true + dataset: + type: CSVLocalDataSet + filepath: example.csv +""" + +YML_CONFIG_VERSIONED_BAD = """ +test_ds: + type: kedro.contrib.io.cached.CachedDataSet + dataset: + type: CSVLocalDataSet + filepath: example.csv + versioned: true +""" + + +@pytest.fixture +def cached_ds(): + wrapped = MemoryDataSet() + return CachedDataSet(wrapped) + + +class TestCachedDataset: + def test_load_empty(self, cached_ds): + with pytest.raises(DataSetError, match=r"has not been saved yet"): + _ = cached_ds.load() + + def test_save_load(self, cached_ds): + cached_ds.save(42) + assert cached_ds.load() == 42 + + def test_save_load_caching(self, mocker): + wrapped = MemoryDataSet(-42) + mocker.spy(wrapped, "load") + mocker.spy(wrapped, "save") + + cached_ds = CachedDataSet(wrapped) + mocker.spy(cached_ds._cache, "save") + mocker.spy(cached_ds._cache, "load") + + cached_ds.save(42) + assert cached_ds.load() == 42 + assert wrapped.load.call_count == 0 + assert wrapped.save.call_count == 1 + assert cached_ds._cache.load.call_count == 1 + assert cached_ds._cache.save.call_count == 1 + + def test_load_empty_cache(self, mocker): + wrapped = MemoryDataSet(-42) + mocker.spy(wrapped, "load") + + cached_ds = CachedDataSet(wrapped) + mocker.spy(cached_ds._cache, "load") + + assert cached_ds.load() == -42 + assert wrapped.load.call_count == 1 + assert cached_ds._cache.load.call_count == 0 + + def test_from_yaml(self, mocker): + config = yaml.safe_load(StringIO(YML_CONFIG)) + catalog = DataCatalog.from_config(config) + assert catalog.list() == ["test_ds"] + mock = mocker.Mock() + assert isinstance(catalog._data_sets["test_ds"]._dataset, CSVLocalDataSet) + catalog._data_sets["test_ds"]._dataset = mock + catalog.save("test_ds", 20) + + assert catalog.load("test_ds") == 20 + mock.save.assert_called_once_with(20) + mock.load.assert_not_called() + + def test_bad_argument(self): + with pytest.raises( + ValueError, + match=r"The argument type of `dataset` " + r"should be either a dict/YAML representation " + r"of the dataset, or the actual dataset object", + ): + _ = CachedDataSet(dataset="BadArgument") + + def test_config_good_version(self): + config = yaml.safe_load(StringIO(YML_CONFIG_VERSIONED)) + catalog = DataCatalog.from_config(config, load_versions={"test_ds": "42"}) + assert catalog._data_sets["test_ds"]._dataset._version.load == "42" + + def test_config_bad_version(self): + config = yaml.safe_load(StringIO(YML_CONFIG_VERSIONED_BAD)) + with pytest.raises( + DataSetError, + match=r"Cached datasets should specify that they are " + r"versioned in the `CachedDataSet`, not in the " + r"wrapped dataset", + ): + _ = DataCatalog.from_config(config, load_versions={"test_ds": "42"}) + + def test_exists(self, cached_ds): + assert not cached_ds.exists() + cached_ds.save(42) + assert cached_ds.exists() + + def test_pickle(self, cached_ds, caplog): + _ = pickle.dumps(cached_ds) + assert caplog.records[0].message == "{}: clearing cache to pickle.".format( + cached_ds + ) + + def test_str(self): + assert ( + str(CachedDataSet(MemoryDataSet(42))) == "CachedDataSet(cache={}, " + "dataset={'data': })" + ) + + def test_release(self, cached_ds): + cached_ds.save(5) + cached_ds.release() + with pytest.raises( + DataSetError, match=r"Data for MemoryDataSet has not been saved yet" + ): + _ = cached_ds.load() From edfce59fd5b4be39934a4b145b51b420d29f77e2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lorena=20B=C4=83lan?= Date: Wed, 7 Aug 2019 10:50:28 +0100 Subject: [PATCH 67/83] [KED-833] Add pip-compile support in the template (#160) --- RELEASE.md | 3 ++ .../02_getting_started/03_new_project.md | 12 ++++- features/build-reqs.feature | 47 +++++++++++++++++++ features/steps/cli_steps.py | 27 ++++++++++- kedro/cli/cli.py | 34 +++++++------- .../{{ cookiecutter.repo_name }}/README.md | 12 +++++ .../docs/source/conf.py | 2 +- .../{{ cookiecutter.repo_name }}/kedro_cli.py | 18 +++++++ requirements.txt | 1 + 9 files changed, 135 insertions(+), 21 deletions(-) create mode 100644 features/build-reqs.feature diff --git a/RELEASE.md b/RELEASE.md index b2b247f815..c557fc4ccc 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -18,6 +18,7 @@ * `anyconfig` default log level changed from `INFO` to `WARNING`. * Added information on installed plugins to `kedro info`. * Added style sheets for project documentation, so the output of `kedro build-docs` will resemble the style of `kedro docs`. +* Added support for `pip-compile` and new Kedro command `kedro build-reqs` that generates `requirements.txt` based on `requirements.in`. ## Breaking changes to the API * Simplified the Kedro template in `run.py` with the introduction of `KedroContext` class. @@ -64,6 +65,8 @@ The easiest way to migrate your project from Kedro 0.14.* to Kedro 0.15.0 is to 5. If you customised your `kedro_cli.py`, you need to apply the same customisations to your `kedro_cli.py` in the new project. +6. Copy the contents of the old project's `src/requirements.txt` into the new project's `src/requirements.in` and, from the project root directory, run the `kedro build-reqs` command in your terminal window. + ##### Migration for versioning custom dataset classes If you defined any custom dataset classes which support versioning in your project, you need to apply the following changes: diff --git a/docs/source/02_getting_started/03_new_project.md b/docs/source/02_getting_started/03_new_project.md index fda47d2a06..1c2b51c6d9 100644 --- a/docs/source/02_getting_started/03_new_project.md +++ b/docs/source/02_getting_started/03_new_project.md @@ -54,12 +54,20 @@ If you want to work with a Kedro project that has already been created, you may ## Install project dependencies -Within your virtual environment and your project's root directory, you can install project dependencies by executing the following: +Project dependencies are listed under `src/requirements.txt`. You can run the following command ```bash kedro install ``` -This command will install dependencies listed in `src/requirements.txt`. +to install the dependencies, using the aforementioned file as source of truth. + +You can either use the file as is from the project template, or you can run: + +```bash +kedro build-reqs +``` + +This will `pip-compile` requirements from `src/requirements.in` (if non-existent, it will create it with the contents of `requirements.txt` copied over) and generate the list of pinned project dependencies in `src/requirements.txt`. From that point onward, you should only update `requirements.in` and run `build-reqs` to update the project requirements. If your project has conda dependencies which you would like to install with this command, you can create a `src/environment.yml` file and list them there. diff --git a/features/build-reqs.feature b/features/build-reqs.feature new file mode 100644 index 0000000000..c08750ceae --- /dev/null +++ b/features/build-reqs.feature @@ -0,0 +1,47 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. +# + +Feature: build-reqs target in new project + + Scenario: Execute build-reqs target + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + When I execute the kedro command "build-reqs" + Then I should get a successful exit code + And requirements should be generated + + Scenario: Execute build-reqs target + Given I have prepared a config file with example code + And I have run a non-interactive kedro new + And I have executed the kedro command "build-reqs" + When I add scrapy>=1.7.3 to the requirements + And I execute the kedro command "build-reqs" + Then I should get a successful exit code + Then requirements should be generated + And scrapy should be in the requirements diff --git a/features/steps/cli_steps.py b/features/steps/cli_steps.py index 6a4b302866..9c6d58a335 100644 --- a/features/steps/cli_steps.py +++ b/features/steps/cli_steps.py @@ -599,10 +599,35 @@ def check_jupyter_lab_proc_on_port(context: behave.runner.Context, port: int): @then("docs should be generated") -def check_docs_generated(context): +def check_docs_generated(context: behave.runner.Context): """Check that new project docs are generated.""" index_html = ( context.root_project_dir / "docs" / "build" / "html" / "index.html" ).read_text("utf-8") project_repo = context.project_name.replace("-", "_") assert "Welcome to project’s %s API docs!" % project_repo in index_html + + +@then("requirements should be generated") +def check_reqs_generated(context: behave.runner.Context): + """Check that new project docs are generated.""" + reqs_path = context.root_project_dir / "src" / "requirements.in" + assert reqs_path.is_file() + assert ( + "This file is autogenerated by pip-compile" + in (context.root_project_dir / "src" / "requirements.txt").read_text() + ) + + +@when("I add {dependency} to the requirements") +def add_req(context: behave.runner.Context, dependency: str): + reqs_path = context.root_project_dir / "src" / "requirements.in" + if reqs_path.is_file(): + with open(str(reqs_path), "a") as reqs_file: + reqs_file.write(str(dependency) + "\n") + + +@then("{dependency} should be in the requirements") +def check_dependency_in_reqs(context: behave.runner.Context, dependency: str): + reqs_path = context.root_project_dir / "src" / "requirements.txt" + assert dependency in reqs_path.read_text() diff --git a/kedro/cli/cli.py b/kedro/cli/cli.py index ed66f0c4f5..6da2101038 100644 --- a/kedro/cli/cli.py +++ b/kedro/cli/cli.py @@ -30,7 +30,6 @@ This module implements commands available from the kedro CLI. """ -import glob import importlib import os import re @@ -186,13 +185,13 @@ def _clean_pycache(project_path): # Since template is part of the Kedro package __pycache__ is generated. # This method recursively cleans all __pycache__ folders. to_delete = [ - os.path.join(project_path, filename) - for filename in glob.iglob(project_path + "/**/*", recursive=True) - if filename.endswith("__pycache__") + filename.resolve() + for filename in project_path.rglob("**/*") + if str(filename).endswith("__pycache__") ] for file in to_delete: # pragma: no cover - shutil.rmtree(file) + shutil.rmtree(str(file)) def _create_project(config_path: str, verbose: bool): @@ -211,27 +210,28 @@ def _create_project(config_path: str, verbose: bool): config = _get_config_from_prompts() config.setdefault("kedro_version", version) - result_path = cookiecutter( - TEMPLATE_PATH, - output_dir=config["output_dir"], - no_input=True, - extra_context=config, + result_path = Path( + cookiecutter( + TEMPLATE_PATH, + output_dir=config["output_dir"], + no_input=True, + extra_context=config, + ) ) + if not config["include_example"]: paths_to_remove = [ - os.path.join(result_path, "data", "01_raw", "iris.csv"), - os.path.join( - result_path, "src", config["python_package"], "nodes", "example.py" - ), + result_path / "data" / "01_raw" / "iris.csv", + result_path / "src" / config["python_package"] / "nodes" / "example.py", ] for path in paths_to_remove: - os.remove(path) + path.unlink() _clean_pycache(result_path) _print_kedro_new_success_message(result_path) except click.exceptions.Abort: # pragma: no cover _handle_exception("User interrupt.") - # we dont want the user to see a stack trace on the cli + # we don't want the user to see a stack trace on the cli except Exception: # pylint: disable=broad-except _handle_exception("Failed to generate project.") @@ -489,7 +489,7 @@ def _show_example_config(): def _print_kedro_new_success_message(result): - click.secho("Project generated in " + os.path.abspath(result), fg="green") + click.secho("Project generated in " + str(result.resolve()), fg="green") click.secho( "Don't forget to initialise git and create a virtual environment. " "Refer to the Kedro documentation." diff --git a/kedro/template/{{ cookiecutter.repo_name }}/README.md b/kedro/template/{{ cookiecutter.repo_name }}/README.md index 6742e3e6cb..51210a99ca 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/README.md +++ b/kedro/template/{{ cookiecutter.repo_name }}/README.md @@ -123,3 +123,15 @@ kedro build-docs ``` See your documentation by opening `docs/build/html/index.html`. + +## Building the project requirements + +To generate or update the dependency requirements for your project, run: + +``` +kedro build-reqs +``` + +This will copy the contents of `src/requirements.txt` into a new file `src/requirements.in` which will be used as the source for `pip-compile`. You can see the output of the resolution by opening `src/requirements.txt`. + +After this, if you'd like to update your project requirements, please update `src/requirements.in` and re-run `kedro build-reqs`. diff --git a/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py b/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py index 3e325d5c30..fa2f40db6c 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/docs/source/conf.py @@ -249,7 +249,7 @@ def skip(app, what, name, obj, skip, options): def setup(app): app.connect("autodoc-process-docstring", autodoc_process_docstring) app.connect("autodoc-skip-member", skip) - # add Kedro styleheets + # add Kedro stylesheets for stylesheet in find_stylesheets(): app.add_stylesheet(stylesheet) # enable rendering RST tables in Markdown diff --git a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py index 6c33b5ca76..711d85a2aa 100755 --- a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py @@ -188,6 +188,24 @@ def build_docs(): call(["sphinx-build", "-M", "html", "docs/source", "docs/build", "-a"]) +@cli.command("build-reqs") +def build_reqs(): + """Build the project dependency requirements.""" + requirements_path = Path.cwd() / "src" / "requirements.in" + if not requirements_path.is_file(): + secho("No requirements.in found. Copying contents from requirements.txt...") + contents = (Path.cwd() / "src" / "requirements.txt").read_text() + requirements_path.write_text(contents) + python_call("piptools", ["compile", str(requirements_path)]) + secho( + ( + "Requirements built! Please update requirements.in " + "if you'd like to make a change in your project's dependencies, " + "and re-run build-reqs to generate the new requirements.txt." + ) + ) + + @cli.command("activate-nbstripout") def activate_nbstripout(): """Install the nbstripout git hook to automatically clean notebooks.""" diff --git a/requirements.txt b/requirements.txt index 40f54b9713..fee98d5eb6 100644 --- a/requirements.txt +++ b/requirements.txt @@ -3,6 +3,7 @@ click<8.0 cookiecutter>=1.6.0, <2.0 memory_profiler>=0.50.0, <1.0 pandas>=0.23.0, <1.0 +pip-tools>=4.0.0, <5.0.0 pyarrow>=0.12.0, <1.0.0 python-json-logger>=0.1.9, <1.0 PyYAML>=4.2, <6.0 From 55d9a1397b803c73bc8b876b0adce69b68aa8b42 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Lorena=20B=C4=83lan?= Date: Wed, 7 Aug 2019 14:31:54 +0100 Subject: [PATCH 68/83] [KED-934] Fix `DefaultArgsMixin` to pass in kwargs (#178) --- docs/source/05_api_docs/kedro.contrib.io.rst | 2 +- kedro/contrib/io/core.py | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/source/05_api_docs/kedro.contrib.io.rst b/docs/source/05_api_docs/kedro.contrib.io.rst index 670ae53276..06fa29137f 100644 --- a/docs/source/05_api_docs/kedro.contrib.io.rst +++ b/docs/source/05_api_docs/kedro.contrib.io.rst @@ -22,7 +22,7 @@ kedro.contrib.io kedro.contrib.io.azure.CSVBlobDataSet kedro.contrib.io.azure.JSONBlobDataSet kedro.contrib.io.bioinformatics.BioSequenceLocalDataSet + kedro.contrib.io.cached.CachedDataSet kedro.contrib.io.pyspark.SparkDataSet kedro.contrib.io.pyspark.SparkJDBCDataSet kedro.contrib.io.parquet.ParquetS3DataSet - kedro.contrib.io.cached.CachedDataSet diff --git a/kedro/contrib/io/core.py b/kedro/contrib/io/core.py index c963db4a2f..677ccd76e1 100644 --- a/kedro/contrib/io/core.py +++ b/kedro/contrib/io/core.py @@ -43,8 +43,9 @@ def __init__( self, load_args: Optional[Dict[str, Any]] = None, save_args: Optional[Dict[str, Any]] = None, + **kwargs ) -> None: - super().__init__() + super().__init__(**kwargs) # type: ignore self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) if load_args is not None: self._load_args.update(load_args) From da15fe9538f8ca995e587dedececfa6f1aedeeba Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Wed, 7 Aug 2019 16:18:34 +0100 Subject: [PATCH 69/83] Add the import linter with rules to cover our core modules (#177) --- .pre-commit-config.yaml | 7 +++- setup.cfg | 43 +++++++++++++++++++++++ tools/{black_runner.py => min_version.py} | 24 +++++++------ 3 files changed, 63 insertions(+), 11 deletions(-) rename tools/{black_runner.py => min_version.py} (75%) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 661aa5c498..941abec8c3 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -72,9 +72,14 @@ repos: name: "Black" language: system pass_filenames: false - entry: python -m tools.black_runner kedro extras features tests + entry: python -m tools.min_version 3.6 "pip install black" "black kedro extras features tests" - id: legal name: "Licence check" language: system pass_filenames: false entry: make legal + - id: imports + name: "Import Linter" + language: system + pass_filenames: false + entry: python -m tools.min_version 3.6 "pip install import-linter" lint-imports diff --git a/setup.cfg b/setup.cfg index aba1f9fd91..f665c88dfc 100644 --- a/setup.cfg +++ b/setup.cfg @@ -9,3 +9,46 @@ addopts=--cov-report xml:coverage.xml --cov tests --no-cov-on-fail -ra + +[importlinter] +root_package = kedro + +[importlinter:contract:1] +name = Contrib > CLI > Context > Library, Runner > IO & Pipeline +type = layers +containers = kedro +layers = + contrib + cli + context + runner + io + pipeline + config + +[importlinter:contract:2] +name = Pipeline and IO are independent +type = independence +modules = + kedro.pipeline + kedro.io + +[importlinter:contract:3] +name = Config can't import Runner et al +type = forbidden +source_modules = + kedro.config +forbidden_modules = + kedro.runner + kedro.io + kedro.pipeline + +[importlinter:contract:4] +name = Runner et al can't import Config +type = forbidden +source_modules = + kedro.runner + kedro.io + kedro.pipeline +forbidden_modules = + kedro.config diff --git a/tools/black_runner.py b/tools/min_version.py similarity index 75% rename from tools/black_runner.py rename to tools/min_version.py index 2fa0b1577c..b7ef0a73d4 100644 --- a/tools/black_runner.py +++ b/tools/min_version.py @@ -34,19 +34,23 @@ If python version is 3.5 - just exit with 0 status. """ import platform +import shlex import subprocess import sys -VERSION = tuple(map(int, platform.python_version_tuple()[:2])) +if __name__ == "__main__": + required_version = tuple(int(x) for x in sys.argv[1].strip().split(".")) + install_cmd = shlex.split(sys.argv[2]) + run_cmd = shlex.split(sys.argv[3]) -if VERSION < (3, 6): - print("Python version is too low, exiting") - sys.exit(0) + current_version = tuple(map(int, platform.python_version_tuple()[:2])) -try: - import black # noqa: F401 pylint: disable=unused-import -except ImportError: - subprocess.run(["pip", "install", "black"], check=True) + if current_version < required_version: + print("Python version is too low, exiting") + sys.exit(0) - -subprocess.run(["black"] + sys.argv[1:], check=True) + try: + subprocess.run(run_cmd, check=True) + except FileNotFoundError: + subprocess.run(install_cmd, check=True) + subprocess.run(run_cmd, check=True) From 39ca35e6a0ab71b25b10c1a075e9654b6507a90d Mon Sep 17 00:00:00 2001 From: Anton Kirilenko Date: Wed, 7 Aug 2019 16:54:20 +0100 Subject: [PATCH 70/83] [KED-936] Refactoring pylint pre-commit hooks (#179) --- .pre-commit-config.yaml | 44 ++++++++++++++++++++++++++++++++++++----- Makefile | 3 +-- 2 files changed, 40 insertions(+), 7 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 941abec8c3..287bb9bb5c 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,14 +1,16 @@ # See https://pre-commit.com for more information # See https://pre-commit.com/hooks.html for more hooks -default_stages: [commit, push] +default_stages: [commit, manual] repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v2.2.3 hooks: - id: trailing-whitespace + stages: [commit, manual] - id: end-of-file-fixer + stages: [commit, manual] - id: check-yaml # Checks yaml files for parseable syntax. exclude: "^kedro/template/" - id: check-json # Checks json files for parseable syntax. @@ -43,29 +45,61 @@ repos: hooks: # It's impossible to specify per-directory configuration, so we just run it many times. # https://github.com/PyCQA/pylint/issues/618 + # The first set of pylint checks if for local pre-commit, it only runs on the files changed. + - id: pylint-quick-kedro + name: "Quick PyLint on kedro/*" + language: system + types: [file, python] + files: ^kedro/ + exclude: ^kedro/template/ + entry: pylint -j0 --disable=unnecessary-pass + stages: [commit] + - id: pylint-quick-features + name: "Quick PyLint on features/*" + language: system + types: [file, python] + files: ^features/ + entry: pylint -j0 --disable=missing-docstring,no-name-in-module + stages: [commit] + - id: pylint-quick-extras + name: "Quick PyLint on extras/*" + language: system + types: [file, python] + files: ^extras/ + entry: pylint -j0 + stages: [commit] + - id: pylint-quick-tests + name: "Quick PyLint on tests/*" + language: system + types: [file, python] + files: ^tests/ + entry: pylint -j0 --disable=missing-docstring,redefined-outer-name,no-self-use,invalid-name + stages: [commit] + + # The same pylint checks, but running on all files. It's for manual run with `make lint` - id: pylint-kedro name: "PyLint on kedro/*" language: system pass_filenames: false - stages: [push] + stages: [manual] entry: pylint -j0 --disable=unnecessary-pass kedro - id: pylint-features name: "PyLint on features/*" language: system pass_filenames: false - stages: [push] + stages: [manual] entry: pylint -j0 --disable=missing-docstring,no-name-in-module features - id: pylint-extras name: "PyLint on extras/*" language: system pass_filenames: false - stages: [push] + stages: [manual] entry: pylint -j0 extras - id: pylint-tests name: "PyLint on tests/*" language: system pass_filenames: false - stages: [push] + stages: [manual] entry: pylint -j0 --disable=missing-docstring,redefined-outer-name,no-self-use,invalid-name tests # We need to make some exceptions for 3.5, that's why it's a custom runner. - id: black diff --git a/Makefile b/Makefile index 9366e595fb..cc1d8b5b84 100644 --- a/Makefile +++ b/Makefile @@ -14,7 +14,7 @@ legal: python tools/license_and_headers.py lint: - pre-commit run -a --hook-stage push + pre-commit run -a --hook-stage manual test: pytest tests @@ -38,7 +38,6 @@ install-test-requirements: install-pre-commit: install-test-requirements pre-commit install --install-hooks - pre-commit install --hook-type pre-push uninstall-pre-commit: pre-commit uninstall From 8ec5aec225b7d17df243a8e1d38f548f2cdf6559 Mon Sep 17 00:00:00 2001 From: Gordon Wrigley Date: Fri, 9 Aug 2019 10:42:12 +0100 Subject: [PATCH 71/83] [KED-943] Make context more extensible (#180) We'd like the KedroContext class to be easy to customise, to enable this it needs lots of good hooks for modifying behaviour. This pull makes three main changes. 1: don't cache stuff on the context class, instead calculate it on need, this greatly increases the utility of overriding the functions for loading the catalog and pipeline etc 2: support optional dependency injection into run for pipeline and catalog (runner already has this), this makes it possible to filter, modify or outright replace those when overriding run 3: add minimal helpers that only construct the library classes (ConfigLoader and DataCatalog), this makes it possible to change the classes being constructed without touching any of the other logic --- kedro/config/config.py | 6 +-- kedro/context/context.py | 72 +++++++++++++++++++---------------- tests/context/test_context.py | 8 +++- 3 files changed, 49 insertions(+), 37 deletions(-) diff --git a/kedro/config/config.py b/kedro/config/config.py index e09ae25969..a0123ab928 100644 --- a/kedro/config/config.py +++ b/kedro/config/config.py @@ -30,7 +30,7 @@ """ import logging from pathlib import Path -from typing import AbstractSet, Any, Dict, List, Tuple, Union +from typing import AbstractSet, Any, Dict, Iterable, List, Tuple, Union import anyconfig @@ -103,7 +103,7 @@ class ConfigLoader: """ - def __init__(self, conf_paths: Union[str, List[str]]): + def __init__(self, conf_paths: Union[str, Iterable[str]]): """Instantiate a ConfigLoader. Args: @@ -120,7 +120,7 @@ def __init__(self, conf_paths: Union[str, List[str]]): ) if isinstance(conf_paths, str): conf_paths = [conf_paths] - self.conf_paths = conf_paths + self.conf_paths = list(conf_paths) self.logger = logging.getLogger(__name__) def get(self, *patterns: str) -> Dict[str, Any]: diff --git a/kedro/context/context.py b/kedro/context/context.py index 533b915422..899444c628 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -81,9 +81,7 @@ def __init__(self, project_path: Union[Path, str], env: str = "local"): """ self._project_path = Path(project_path).expanduser().resolve() self.env = env - self._config_loader = self._create_config() self._setup_logging() - self._catalog = self._create_catalog() @property @abc.abstractmethod @@ -137,6 +135,17 @@ def project_path(self) -> Path: """ return self._project_path + def _create_catalog( # pylint: disable=no-self-use + self, conf_catalog: Dict[str, Any], conf_creds: Dict[str, Any] + ) -> DataCatalog: + """A hook for changing the creation of the DataCatalog instance. + + Returns: + DataCatalog defined in `catalog.yml`. + + """ + return DataCatalog.from_config(conf_catalog, conf_creds) + @property def catalog(self) -> DataCatalog: """Read-only property referring to Kedro's ``DataCatalog`` for this context. @@ -145,7 +154,11 @@ def catalog(self) -> DataCatalog: DataCatalog defined in `catalog.yml`. """ - return self._catalog + conf_catalog = self.config_loader.get("catalog*", "catalog*/**") + conf_creds = self._get_config_credentials() + catalog = self._create_catalog(conf_catalog, conf_creds) + catalog.add_feed_dict(self._get_feed_dict()) + return catalog @property def io(self) -> DataCatalog: @@ -157,41 +170,43 @@ def io(self) -> DataCatalog: """ # pylint: disable=invalid-name - return self._catalog + return self.catalog - @property - def config_loader(self) -> ConfigLoader: - """Read-only property referring to Kedro's ``ConfigLoader`` for this - context. + def _create_config_loader( # pylint: disable=no-self-use + self, conf_paths: Iterable[str] + ) -> ConfigLoader: + """A hook for changing the creation of the ConfigLoader instance. Returns: - Instance of `ConfigLoader` created by `_create_config()`. + Instance of `ConfigLoader`. """ - return self._config_loader + return ConfigLoader(conf_paths) - def _create_config(self) -> ConfigLoader: - """Load Kedro's configuration at the root of the project. + @property + def config_loader(self) -> ConfigLoader: + """Read-only property referring to Kedro's ``ConfigLoader`` for this + context. Returns: - ConfigLoader which can be queried to access the project config. + Instance of `ConfigLoader` created by `_create_config_loader()`. """ conf_paths = [ str(self.project_path / self.CONF_ROOT / "base"), str(self.project_path / self.CONF_ROOT / self.env), ] - return ConfigLoader(conf_paths) + return self._create_config_loader(conf_paths) def _setup_logging(self) -> None: """Register logging specified in logging directory.""" - conf_logging = self._config_loader.get("logging*", "logging*/**") + conf_logging = self.config_loader.get("logging*", "logging*/**") logging.config.dictConfig(conf_logging) def _get_feed_dict(self) -> Dict[str, Any]: """Get parameters and return the feed dictionary.""" try: - params = self._config_loader.get("parameters*", "parameters*/**") + params = self.config_loader.get("parameters*", "parameters*/**") except MissingConfigException as exc: warn( "Parameters not found in your Kedro project config.\n{}".format( @@ -209,7 +224,7 @@ def _get_feed_dict(self) -> Dict[str, Any]: def _get_config_credentials(self) -> Dict[str, Any]: """Getter for credentials specified in credentials directory.""" try: - conf_creds = self._config_loader.get("credentials*", "credentials*/**") + conf_creds = self.config_loader.get("credentials*", "credentials*/**") except MissingConfigException as exc: warn( "Credentials not found in your Kedro project config.\n{}".format( @@ -219,19 +234,6 @@ def _get_config_credentials(self) -> Dict[str, Any]: conf_creds = {} return conf_creds - def _create_catalog(self) -> DataCatalog: - """Load Kedro's ``DataCatalog`` specified in catalog directory. - - Returns: - DataCatalog defined in `catalog.yml`. - - """ - conf_catalog = self._config_loader.get("catalog*", "catalog*/**") - conf_creds = self._get_config_credentials() - catalog = DataCatalog.from_config(conf_catalog, conf_creds) - catalog.add_feed_dict(self._get_feed_dict()) - return catalog - def run( # pylint: disable=too-many-arguments self, tags: Iterable[str] = None, @@ -239,6 +241,8 @@ def run( # pylint: disable=too-many-arguments node_names: Iterable[str] = None, from_nodes: Iterable[str] = None, to_nodes: Iterable[str] = None, + pipeline: Pipeline = None, + catalog: DataCatalog = None, ) -> Dict[str, Any]: """Runs the pipeline with a specified runner. @@ -255,6 +259,8 @@ def run( # pylint: disable=too-many-arguments starting point of the new ``Pipeline``. to_nodes: An optional list of node names which should be used as an end point of the new ``Pipeline``. + pipeline: Optional Pipeline to run, defaults to self.pipeline. + catalog: Optional DataCatalog to run with, defaults to self.catalog. Raises: KedroContextError: If the resulting ``Pipeline`` is empty or incorrect tags are provided. @@ -267,7 +273,7 @@ def run( # pylint: disable=too-many-arguments logging.info("** Kedro project {}".format(self.project_path.name)) # Load the pipeline as the intersection of all conditions - pipeline = self.pipeline + pipeline = pipeline or self.pipeline if tags: pipeline = pipeline & self.pipeline.only_nodes_with_tags(*tags) if not pipeline.nodes: @@ -284,9 +290,11 @@ def run( # pylint: disable=too-many-arguments if not pipeline.nodes: raise KedroContextError("Pipeline contains no nodes") + catalog = catalog or self.catalog + # Run the runner runner = runner or SequentialRunner() - return runner.run(pipeline, self.catalog) + return runner.run(pipeline, catalog) def load_context(project_path: Union[str, Path], **kwargs) -> KedroContext: diff --git a/tests/context/test_context.py b/tests/context/test_context.py index 16c4ee2198..dc4d9faa34 100644 --- a/tests/context/test_context.py +++ b/tests/context/test_context.py @@ -255,7 +255,9 @@ def test_missing_parameters(self, tmp_path, mocker): with pytest.warns( UserWarning, match="Parameters not found in your Kedro project config." ): - DummyContext(str(tmp_path)) + DummyContext( # pylint: disable=expression-not-assigned + str(tmp_path) + ).catalog def test_missing_credentials(self, tmp_path, mocker): env_credentials = tmp_path / "conf" / "local" / "credentials.yml" @@ -268,7 +270,9 @@ def test_missing_credentials(self, tmp_path, mocker): with pytest.warns( UserWarning, match="Credentials not found in your Kedro project config." ): - DummyContext(str(tmp_path)) + DummyContext( # pylint: disable=expression-not-assigned + str(tmp_path) + ).catalog def test_pipeline(self, dummy_context): assert dummy_context.pipeline.nodes[0].inputs == ["cars"] From d311df454254b145a834625c844eaff367e761a5 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Fri, 9 Aug 2019 11:05:27 +0100 Subject: [PATCH 72/83] [KED-915] Refactor KedroContext access (#174) --- RELEASE.md | 1 + docs/source/03_tutorial/03_set_up_data.md | 6 +- .../source/03_tutorial/04_create_pipelines.md | 6 +- docs/source/04_user_guide/03_configuration.md | 2 +- .../04_user_guide/09_developing_plugins.md | 4 +- kedro/cli/cli.py | 52 ++++---- kedro/context/context.py | 90 +++++++------- .../{{ cookiecutter.repo_name }}/.kedro.yml | 1 + .../{{ cookiecutter.repo_name }}/kedro_cli.py | 68 ++++++----- .../{{ cookiecutter.python_package }}/run.py | 29 +---- kedro/utils.py | 2 +- tests/cli/test_cli.py | 11 +- tests/cli/test_cli_new.py | 4 +- tests/context/test_context.py | 112 +++++++++--------- tests/test_utils.py | 2 +- 15 files changed, 177 insertions(+), 213 deletions(-) create mode 100644 kedro/template/{{ cookiecutter.repo_name }}/.kedro.yml diff --git a/RELEASE.md b/RELEASE.md index c557fc4ccc..c5192fe605 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -37,6 +37,7 @@ The breaking changes were introduced in the following project template files: - `/kedro_cli.py` - `/src/tests/test_run.py` - `/src//run.py` +- `/.kedro.yml` (new file) The easiest way to migrate your project from Kedro 0.14.* to Kedro 0.15.0 is to create a new project (by using `kedro new`) and move code and files bit by bit as suggested in the detailed guide below: diff --git a/docs/source/03_tutorial/03_set_up_data.md b/docs/source/03_tutorial/03_set_up_data.md index d20c0629e3..f0ee29a18e 100644 --- a/docs/source/03_tutorial/03_set_up_data.md +++ b/docs/source/03_tutorial/03_set_up_data.md @@ -61,13 +61,13 @@ reviews: If you want to check whether Kedro loads the data correctly, open a `kedro ipython` session and run: ```python -io.load('companies').head() +context.catalog.load('companies').head() ``` This should show you the first five rows of the dataset. If you want to explore more of it before moving on with the project: ```python -df = io.load('companies') +df = context.catalog.load('companies') ``` The entire `companies` dataset is loaded into a `pandas` DataFrame and you can play with it as you wish. @@ -194,7 +194,7 @@ shuttles: A good way to test that everything works as expected is by trying to load the dataset within a new `kedro ipython` session: ```python -io.load('shuttles').head() +context.catalog.load('shuttles').head() ``` ### Contributing a custom dataset implementation diff --git a/docs/source/03_tutorial/04_create_pipelines.md b/docs/source/03_tutorial/04_create_pipelines.md index 54db5e26af..9f03863e5a 100644 --- a/docs/source/03_tutorial/04_create_pipelines.md +++ b/docs/source/03_tutorial/04_create_pipelines.md @@ -205,9 +205,9 @@ def create_master_table( To create a new node to join all tables to form a master table, you need to add the three dataframes to a cell in the Jupyter notebook: ```python -preprocessed_shuttles = io.load("preprocessed_shuttles") -preprocessed_companies = io.load("preprocessed_companies") -reviews = io.load("reviews") +preprocessed_shuttles = context.catalog.load("preprocessed_shuttles") +preprocessed_companies = context.catalog.load("preprocessed_companies") +reviews = context.catalog.load("reviews") master = create_master_table(preprocessed_shuttles, preprocessed_companies, reviews) master.head() diff --git a/docs/source/04_user_guide/03_configuration.md b/docs/source/04_user_guide/03_configuration.md index 3aa1efc67a..3a7c1ae3d8 100644 --- a/docs/source/04_user_guide/03_configuration.md +++ b/docs/source/04_user_guide/03_configuration.md @@ -46,7 +46,7 @@ kedro run --env=test If no `env` option is specified, this will default to using `local` environment to overwrite `conf/base`. -You can alternatively change the default environment by modifying the `env` variable in `__kedro_context__` in `src/run.py`. +You can alternatively pass a different environment variable in `ProjectContext` in `src/run.py`. ```python env = "test" diff --git a/docs/source/04_user_guide/09_developing_plugins.md b/docs/source/04_user_guide/09_developing_plugins.md index c602b82138..9d31885fbb 100644 --- a/docs/source/04_user_guide/09_developing_plugins.md +++ b/docs/source/04_user_guide/09_developing_plugins.md @@ -10,9 +10,9 @@ Kedro uses various entry points in the [`pkg_resources` entry_point system](http While running, plugins may request information about the current project by calling `kedro.cli.get_project_context()`. -This function provides access to the verbose flag via the key `verbose` and to anything returned by the project's `__kedro_context__`. The returned instance of `ProjectContext` class must contain at least the following properties and methods: +This function provides access to the verbose flag via the key `verbose` and to anything returned by the project's `KedroContext`. The returned instance of `ProjectContext(KedroContext)` class must contain at least the following properties and methods: * `project_version`: the version of Kedro the project was created with, or `None` if the project was not created with `kedro new`. -* `project_path`: the path to the directory where `kedro_cli.py` is located. +* `project_path`: the path to the directory where `.kedro.yml` is located. * `config_loader`: an instance of `kedro.config.ConfigLoader`. * `catalog`: an instance of `kedro.io.DataCatalog`. * `pipeline`: an instance of `kedro.pipeline.Pipeline`. diff --git a/kedro/cli/cli.py b/kedro/cli/cli.py index 6da2101038..3bbe94218f 100644 --- a/kedro/cli/cli.py +++ b/kedro/cli/cli.py @@ -504,14 +504,13 @@ def _get_prompt_text(title, *text): def get_project_context(key: str = "context", **kwargs) -> Any: - """Get a value from the project context. - The user is responsible having the specified key in their project's context - which typically is exposed in the ``__kedro_context__`` function in ``run.py`` + """Gets the context value from context associated with the key. Args: - key: Optional key in Kedro context dictionary. Defaults to "context". - kwargs: Optional custom arguments defined by users, which will be passed to - __kedro_context__() in `run.py`. + key: Optional key to get associated value from Kedro context. + Supported keys are "verbose" and "context", and it defaults to "context". + kwargs: Optional custom arguments defined by users, which will be passed into + the constructor of the projects KedroContext subclass. Returns: Requested value from Kedro context dictionary or the default if the key @@ -535,8 +534,8 @@ def _deprecation_msg(key): msg = '`get_project_context("{}")` is now deprecated. '.format(key) if obj_name: msg += ( - "This is still returning a function that returns `{}` " - "instance, however passed arguments have no effect anymore. ".format( + "This is still returning a function that returns `{}` instance, " + "however passed arguments have no effect anymore since Kedro 0.15.0. ".format( obj_name ) ) @@ -548,28 +547,21 @@ def _deprecation_msg(key): return msg context = load_context(Path.cwd(), **kwargs) - try: - # Dictionary to be compatible with existing Plugins. Future plugins should - # retrieve necessary Kedro project properties from context - value = { - "context": context, - "get_config": lambda project_path, env=None, **kw: context.config_loader, - "create_catalog": lambda config, **kw: context.catalog, - "create_pipeline": lambda **kw: context.pipeline, - "template_version": context.project_version, - "project_name": context.project_name, - "project_path": context.project_path, - "verbose": _VERBOSE, - }[key] - - if key not in ("verbose", "context"): - warnings.warn(_deprecation_msg(key), DeprecationWarning) - - except KeyError: - _handle_exception( - "`{}` not found in the context returned by " - "__get_kedro_context__".format(key) - ) + # Dictionary to be compatible with existing Plugins. Future plugins should + # retrieve necessary Kedro project properties from context + value = { + "context": context, + "get_config": lambda project_path, env=None, **kw: context.config_loader, + "create_catalog": lambda config, **kw: context.catalog, + "create_pipeline": lambda **kw: context.pipeline, + "template_version": context.project_version, + "project_name": context.project_name, + "project_path": context.project_path, + "verbose": _VERBOSE, + }[key] + + if key not in ("verbose", "context"): + warnings.warn(_deprecation_msg(key), DeprecationWarning) return deepcopy(value) diff --git a/kedro/context/context.py b/kedro/context/context.py index 899444c628..eaabcd8963 100644 --- a/kedro/context/context.py +++ b/kedro/context/context.py @@ -28,7 +28,6 @@ """This module provides context for Kedro project.""" import abc -import importlib import logging.config import os import sys @@ -36,13 +35,14 @@ from typing import Any, Dict, Iterable, Union from warnings import warn +import yaml + from kedro import __version__ from kedro.config import ConfigLoader, MissingConfigException from kedro.io import DataCatalog from kedro.pipeline import Pipeline from kedro.runner import AbstractRunner, SequentialRunner - -_LOADED_PATH = None +from kedro.utils import load_obj class KedroContext(abc.ABC): @@ -69,18 +69,35 @@ class KedroContext(abc.ABC): CONF_ROOT = "conf" - def __init__(self, project_path: Union[Path, str], env: str = "local"): + def __init__(self, project_path: Union[Path, str], env: str = None): """Create a context object by providing the root of a Kedro project and the environment configuration subfolders (see ``kedro.config.ConfigLoader``) + Raises: + KedroContextError: If there is a mismatch + between Kedro project version and package version. + Args: project_path: Project path to define the context for. env: Optional argument for configuration default environment to be used - for running the pipeline. Default environment is 'local'. + for running the pipeline. If not specified, it defaults to "local". """ + + def _version_mismatch_error(context_version): + return ( + "Your Kedro project version {} does not match Kedro package " + "version {} you are running. Make sure to update your project template. " + "See https://github.com/quantumblacklabs/kedro/blob/master/RELEASE.md for how to " + "migrate your Kedro project." + ).format(context_version, __version__) + + # check the match for major and minor version (skip patch version) + if self.project_version.split(".")[:2] != __version__.split(".")[:2]: + raise KedroContextError(_version_mismatch_error(self.project_version)) + self._project_path = Path(project_path).expanduser().resolve() - self.env = env + self.env = env or "local" self._setup_logging() @property @@ -298,71 +315,48 @@ def run( # pylint: disable=too-many-arguments def load_context(project_path: Union[str, Path], **kwargs) -> KedroContext: - """Loads KedroContext object defined in `kedro_cli.__kedro_context__`. + """Loads the KedroContext object of a Kedro Project as defined in `src//run.py`. This function will change the current working directory to the project path. Args: project_path: Path to the Kedro project. kwargs: Optional custom arguments defined by users, which will be passed to - __kedro_context__() in `run.py`. + ProjectContext class in `run.py`. kwargs will need to be passed explicitly to + the constructor of ProjectContext. Returns: Instance of KedroContext class defined in Kedro project. Raises: - KedroContextError: If another project context has already been loaded. + KedroContextError: Either '.kedro.yml' was not found + or loaded context has package conflict. """ - # global due to importlib caching import_module("kedro_cli") call - global _LOADED_PATH # pylint: disable=global-statement - project_path = Path(project_path).expanduser().resolve() - - if _LOADED_PATH and project_path != _LOADED_PATH: - raise KedroContextError( - "Cannot load context for `{}`, since another project `{}` has " - "already been loaded".format(project_path, _LOADED_PATH) - ) if str(project_path) not in sys.path: sys.path.append(str(project_path)) - kedro_cli = importlib.import_module("kedro_cli") + kedro_yaml = project_path / ".kedro.yml" + try: + with kedro_yaml.open("r") as kedro_yml: - context = kedro_cli.__get_kedro_context__(**kwargs) # type: ignore - check_context_version(context) + context_path = yaml.safe_load(kedro_yml)["context_path"] + except Exception: + raise KedroContextError( + "Could not retrive 'context_path' from '.kedro.yml' in {}. If you have created " + "your project with Kedro version <0.15.0, make sure to update your project template. " + "See https://github.com/quantumblacklabs/kedro/blob/master/RELEASE.md " + "for how to migrate your Kedro project.".format(str(project_path)) + ) + + context_class = load_obj(context_path) + context = context_class(project_path, **kwargs) if os.getcwd() != str(project_path): warn("Changing the current working directory to {}".format(str(project_path))) os.chdir(str(project_path)) # Move to project root - _LOADED_PATH = project_path return context -def check_context_version(context: Union[Dict, KedroContext]) -> None: - """ Check if the Kedro package version and Kedro template version match. - Args: - context: Instance of KedroContext from Kedro template. - - Raises: - KedroContextError: If there is a mismatch - between Kedro project version and package version. - - """ - - def _error_message(context_version): - return ( - "Your Kedro project version {} does not match Kedro package " - "version {} you are running. Make sure to update your project template. " - "See https://github.com/quantumblacklabs/kedro/blob/master/RELEASE.md for how to " - "migrate your Kedro project." - ).format(context_version, __version__) - - if not isinstance(context, KedroContext): - raise KedroContextError(_error_message(context["project_version"])) - # check the match for major and minor version (skip patch version) - if context.project_version.split(".")[:2] != __version__.split(".")[:2]: - raise KedroContextError(_error_message(context.project_version)) - - class KedroContextError(Exception): """Error occurred when loading project and running context pipeline.""" diff --git a/kedro/template/{{ cookiecutter.repo_name }}/.kedro.yml b/kedro/template/{{ cookiecutter.repo_name }}/.kedro.yml new file mode 100644 index 0000000000..81c0f07123 --- /dev/null +++ b/kedro/template/{{ cookiecutter.repo_name }}/.kedro.yml @@ -0,0 +1 @@ +context_path: {{ cookiecutter.python_package }}.run.ProjectContext diff --git a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py index 711d85a2aa..86f24e1e88 100755 --- a/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/kedro_cli.py @@ -40,7 +40,13 @@ import click from click import secho, style from kedro.cli import main as kedro_main -from kedro.cli.utils import KedroCliError, call, forward_command, python_call, export_nodes +from kedro.cli.utils import ( + KedroCliError, + call, + forward_command, + python_call, + export_nodes, +) from kedro.utils import load_obj from kedro.runner import SequentialRunner from typing import Iterable, List @@ -92,11 +98,6 @@ OVERWRITE_HELP = """If Python file already exists for the equivalent notebook, overwrite its contents.""" -def __get_kedro_context__(**kwargs): - """Used to provide this project's context to plugins.""" - from {{cookiecutter.python_package}}.run import __kedro_context__ - return __kedro_context__(**kwargs) - @click.group(context_settings=CONTEXT_SETTINGS, name=__file__) def cli(): @@ -106,7 +107,15 @@ def cli(): @cli.command() @click.option("--from-nodes", type=str, default="", help=FROM_NODES_HELP) @click.option("--to-nodes", type=str, default="", help=TO_NODES_HELP) -@click.option("--node", "-n", "node_names", type=str, default=None, multiple=True, help=NODE_ARG_HELP) +@click.option( + "--node", + "-n", + "node_names", + type=str, + default=None, + multiple=True, + help=NODE_ARG_HELP, +) @click.option( "--runner", "-r", type=str, default=None, multiple=False, help=RUNNER_ARG_HELP ) @@ -128,7 +137,14 @@ def run(tag, env, parallel, runner, node_names, to_nodes, from_nodes): runner = "ParallelRunner" runner_class = load_obj(runner, "kedro.runner") if runner else SequentialRunner - main(tags=tag, env=env, runner=runner_class(), node_names=node_names, from_nodes=from_nodes, to_nodes=to_nodes) + main( + tags=tag, + env=env, + runner=runner_class(), + node_names=node_names, + from_nodes=from_nodes, + to_nodes=to_nodes, + ) @forward_command(cli, forward_help=True) @@ -147,10 +163,11 @@ def install(): """Install project dependencies from both requirements.txt and environment.yml (optional).""" if (Path.cwd() / "src" / "environment.yml").is_file(): - call(["conda", "install", "--file", "src/environment.yml", "--yes"]) + call(["conda", "install", "--file", "src/environment.yml", "--yes"]) python_call("pip", ["install", "-U", "-r", "src/requirements.txt"]) + @forward_command(cli, forward_help=True) def ipython(args): """Open IPython with project specific variables loaded.""" @@ -236,7 +253,9 @@ def activate_nbstripout(): call(["nbstripout", "--install"]) -def _build_jupyter_command(base: str, ip: str, all_kernels: bool, args: Iterable[str]) -> List[str]: +def _build_jupyter_command( + base: str, ip: str, all_kernels: bool, args: Iterable[str] +) -> List[str]: cmd = [base, "--ip=" + ip] if not all_kernels: @@ -260,10 +279,11 @@ def jupyter_notebook(ip, all_kernels, args): if "-h" not in args and "--help" not in args: ipython_message(all_kernels) - call(_build_jupyter_command( - "jupyter-notebook", ip=ip, - all_kernels=all_kernels, args=args, - )) + call( + _build_jupyter_command( + "jupyter-notebook", ip=ip, all_kernels=all_kernels, args=args + ) + ) @forward_command(jupyter, "lab", forward_help=True) @@ -274,10 +294,9 @@ def jupyter_lab(ip, all_kernels, args): if "-h" not in args and "--help" not in args: ipython_message(all_kernels) - call(_build_jupyter_command( - "jupyter-lab", ip=ip, - all_kernels=all_kernels, args=args, - )) + call( + _build_jupyter_command("jupyter-lab", ip=ip, all_kernels=all_kernels, args=args) + ) @jupyter.command("convert") @@ -302,6 +321,7 @@ def convert_notebook(all_flag, overwrite_flag, filepath): Should not be provided if --all flag is already present. """ + from {{cookiecutter.python_package}}.run import ProjectContext if not filepath and not all_flag: secho( "Please specify a notebook filepath " @@ -309,7 +329,7 @@ def convert_notebook(all_flag, overwrite_flag, filepath): ) return - kedro_project_path = __get_kedro_context__(**kwargs)["project_path"] + kedro_project_path = ProjectContext(Path.cwd()).project_path kedro_package_name = "{{cookiecutter.python_package}}" if all_flag: @@ -366,14 +386,8 @@ def ipython_message(all_kernels=True): secho("or to see the error message if they are undefined") if not all_kernels: - secho( - "The choice of kernels is limited to the default one.", - fg="yellow", - ) - secho( - "(restart with --all-kernels to get access to others)", - fg="yellow", - ) + secho("The choice of kernels is limited to the default one.", fg="yellow") + secho("(restart with --all-kernels to get access to others)", fg="yellow") secho("-" * 79, fg="cyan") diff --git a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py index 35c2d207c9..13324f4f81 100644 --- a/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py +++ b/kedro/template/{{ cookiecutter.repo_name }}/src/{{ cookiecutter.python_package }}/run.py @@ -51,30 +51,6 @@ class ProjectContext(KedroContext): def pipeline(self) -> Pipeline: return create_pipeline() - -def __kedro_context__(env: str = None, **kwargs) -> KedroContext: - """Provide this project's context to ``kedro`` CLI and plugins. - Please do not rename or remove, as this will break the CLI tool. - - Plugins may request additional objects from this method. - - Args: - env: An optional parameter specifying the environment in which - the ``Pipeline`` should be run. If not specified defaults to "local". - kwargs: Optional custom arguments defined by users. - Returns: - Instance of ProjectContext class defined in Kedro project. - - """ - if env is None: - # Default configuration environment to be used for running the pipeline. - # Change this constant value if you want to load configuration - # from a different location. - env = "local" - - return ProjectContext(Path.cwd(), env) - - def main( tags: Iterable[str] = None, env: str = None, @@ -90,7 +66,7 @@ def main( filter the nodes of the ``Pipeline``. If specified, only the nodes containing *any* of these tags will be run. env: An optional parameter specifying the environment in which - the ``Pipeline`` should be run. If not specified defaults to "local". + the ``Pipeline`` should be run. runner: An optional parameter specifying the runner that you want to run the pipeline with. node_names: An optional list of node names which should be used to filter @@ -102,8 +78,7 @@ def main( end point of the new ``Pipeline``. """ - - context = __kedro_context__(env) + context = ProjectContext(Path.cwd(), env) context.run(tags, runner, node_names, from_nodes, to_nodes) diff --git a/kedro/utils.py b/kedro/utils.py index c126cb916c..9a9621f967 100644 --- a/kedro/utils.py +++ b/kedro/utils.py @@ -34,7 +34,7 @@ from typing import Any -def load_obj(obj_path: str, default_obj_path: str) -> Any: +def load_obj(obj_path: str, default_obj_path: str = "") -> Any: """Extract an object from a given path. Args: diff --git a/tests/cli/test_cli.py b/tests/cli/test_cli.py index 861eb1163d..f524ec6dba 100644 --- a/tests/cli/test_cli.py +++ b/tests/cli/test_cli.py @@ -401,8 +401,8 @@ def _deprecation_msg(self, key): msg = r"\`get_project_context\(\"{}\"\)\` is now deprecated\. ".format(key) if obj_name: msg += ( - r"This is still returning a function that returns \`{}\` " - r"instance\, however passed arguments have no effect anymore\. ".format( + r"This is still returning a function that returns \`{}\` instance\, " + r"however passed arguments have no effect anymore since Kedro 0.15.0\. ".format( obj_name ) ) @@ -458,13 +458,6 @@ def test_project_path(self): def test_verbose(self): assert not get_project_context("verbose") - def test_invalid_key(self): - pattern = ( - r"`invalid` not found in the context returned by __get_kedro_context__" - ) - with raises(Exception, match=pattern): - get_project_context("invalid") - @fixture def entry_points(mocker): diff --git a/tests/cli/test_cli_new.py b/tests/cli/test_cli_new.py index cdc46a51cb..975d2ec174 100644 --- a/tests/cli/test_cli_new.py +++ b/tests/cli/test_cli_new.py @@ -39,8 +39,8 @@ from kedro import __version__ as version from kedro.cli.cli import TEMPLATE_PATH, _fix_user_path, _get_default_config, cli -FILES_IN_TEMPLATE_NO_EXAMPLE = 35 -FILES_IN_TEMPLATE_WITH_EXAMPLE = 37 +FILES_IN_TEMPLATE_NO_EXAMPLE = 36 +FILES_IN_TEMPLATE_WITH_EXAMPLE = 38 # pylint: disable=too-many-arguments diff --git a/tests/context/test_context.py b/tests/context/test_context.py index dc4d9faa34..5ec3679586 100644 --- a/tests/context/test_context.py +++ b/tests/context/test_context.py @@ -41,7 +41,6 @@ from kedro import __version__ from kedro.context import KedroContext, KedroContextError, load_context -from kedro.context.context import check_context_version from kedro.pipeline import Pipeline, node from kedro.runner import ParallelRunner, SequentialRunner @@ -156,19 +155,25 @@ def restore_cwd(): @pytest.fixture def fake_project(tmp_path): project = tmp_path / "project" - project.mkdir() - kedro_cli = project / "kedro_cli.py" + + package_name = "fake_package" + package_path = project / "src" / package_name + package_path.mkdir(parents=True) + + kedro_yaml = project / ".kedro.yml" + _write_yaml(kedro_yaml, {"context_path": package_name + ".run.Fake"}) + sys.path.append(str(project / "src")) + run = package_path / "run.py" script = """ class Fake: + def __init__(self, project_path, **kwargs): + pass project_name = "fake" project_version = "{}" - - def __get_kedro_context__(): - return Fake() """.format( __version__ ) - kedro_cli.write_text(textwrap.dedent(script), encoding="utf-8") + run.write_text(textwrap.dedent(script), encoding="utf-8") yield project @@ -240,6 +245,31 @@ def test_config_loader(self, dummy_context): def test_default_env(self, dummy_context): assert dummy_context.env == "local" + @pytest.mark.parametrize( + "invalid_version", ["0.13.0", "10.0", "101.1", "100.0", "-0"] + ) + def test_invalid_version(self, tmp_path, mocker, invalid_version): + # Disable logging.config.dictConfig in KedroContext._setup_logging as + # it changes logging.config and affects other unit tests + mocker.patch("logging.config.dictConfig") + + class _DummyContext(KedroContext): + project_name = "bob" + project_version = invalid_version + + @property + def pipeline(self) -> Pipeline: + return Pipeline([]) # pragma: no cover + + pattern = ( + r"Your Kedro project version {} does not match " + r"Kedro package version {} you are running. ".format( + invalid_version, __version__ + ) + ) + with pytest.raises(KedroContextError, match=pattern): + _DummyContext(str(tmp_path)) + @pytest.mark.parametrize("env", ["custom_env"], indirect=True) def test_custom_env(self, dummy_context): assert dummy_context.env == "custom_env" @@ -412,55 +442,19 @@ def pipeline(self) -> Pipeline: dummy_context.run() -def test_load_context(fake_project, tmp_path, mocker): - """Test getting project context""" - mocker.patch("kedro.context.context.check_context_version") - result = load_context(str(fake_project)) - assert result.project_name == "fake" - assert result.project_version == __version__ - assert str(fake_project.resolve()) in sys.path - assert os.getcwd() == str(fake_project.resolve()) - - other_path = tmp_path / "other" - other_path.mkdir() - pattern = ( - r"Cannot load context for `{}`, since another project " - r"`.*` has already been loaded".format(other_path.resolve()) - ) - with pytest.raises(KedroContextError, match=pattern): - load_context(str(other_path)) - - -def test_valid_context_version(mocker): - mocked_context = mocker.patch("kedro.context.KedroContext", autospec=True) - context = mocked_context("fake_path") - context.project_version = __version__ - check_context_version(context) - - -def test_invalid_context_version_dict(): - context_dict = {"project_version": __version__} - pattern = ( - r"Your Kedro project version {} does not match " - r"Kedro package version {} you are running. ".format( - context_dict["project_version"], __version__ - ) - ) - with pytest.raises(KedroContextError, match=pattern): - check_context_version(context_dict) - - -@pytest.mark.parametrize("project_version", ["0.13.0", "10.0", "101.1", "100.0", "-0"]) -def test_invalid_context_version(mocker, project_version): - mocked_context = mocker.patch("kedro.context.KedroContext", autospec=True) - context = mocked_context("fake_path") - context.project_version = project_version - - pattern = ( - r"Your Kedro project version {} does not match " - r"Kedro package version {} you are running. ".format( - context.project_version, __version__ - ) - ) - with pytest.raises(KedroContextError, match=pattern): - check_context_version(context) +class TestLoadContext: + def test_valid_context(self, fake_project): + """Test getting project context.""" + result = load_context(str(fake_project)) + assert result.project_name == "fake" + assert result.project_version == __version__ + assert str(fake_project.resolve()) in sys.path + assert os.getcwd() == str(fake_project.resolve()) + + def test_invalid_path(self, tmp_path): + """Test for loading context from an invalid path. """ + other_path = tmp_path / "other" + other_path.mkdir() + pattern = r"Could not retrive \'context_path\' from \'.kedro.yml\'" + with pytest.raises(KedroContextError, match=pattern): + load_context(str(other_path)) diff --git a/tests/test_utils.py b/tests/test_utils.py index e429bd91d4..6c3107a4ed 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -40,7 +40,7 @@ class DummyClass: class TestExtractObject: def test_load_obj(self): - extracted_obj = load_obj("tests.test_utils.DummyClass", "") + extracted_obj = load_obj("tests.test_utils.DummyClass") assert extracted_obj is DummyClass def test_load_obj_default_path(self): From 3c64b1544a56599bf51fd5664884ddc2026daab7 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Fri, 9 Aug 2019 16:34:36 +0100 Subject: [PATCH 73/83] [KED-919] Add e2e test for convert notebook (#181) --- .../source/03_tutorial/04_create_pipelines.md | 2 +- features/jupyter.feature | 11 +++- features/steps/cli_steps.py | 60 +++++++++++++------ 3 files changed, 52 insertions(+), 21 deletions(-) diff --git a/docs/source/03_tutorial/04_create_pipelines.md b/docs/source/03_tutorial/04_create_pipelines.md index 9f03863e5a..88d9aff9f3 100644 --- a/docs/source/03_tutorial/04_create_pipelines.md +++ b/docs/source/03_tutorial/04_create_pipelines.md @@ -2,7 +2,7 @@ This section covers how to create a pipeline from a set of `node`s, which are Python functions, as described in more detail in the [nodes and pipelines user guide](../04_user_guide/05_nodes_and_pipelines.md) documentation. -1. As you draft experimental code, you can use a [Jupyter Notebook](../04_user_guide/10_ipython.md#working-with-kedro-projects-from-jupyter) or [IPython session](../04_user_guide/10_ipython.md). If you include [`docstrings`](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) to explain what your functions do, you can take advantage of [auto-generated Sphinx documentation](http://www.sphinx-doc.org/en/master/) later on. Once you are happy with how you have written your `node` functions, you will run `kedro jupyter convert --all` (or `kedro jupyter convert `) to export the code into the `src/kedro_tutorial/nodes/` folder as a `.py` file. +1. As you draft experimental code, you can use a [Jupyter Notebook](../04_user_guide/10_ipython.md#working-with-kedro-projects-from-jupyter) or [IPython session](../04_user_guide/10_ipython.md). If you include [`docstrings`](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) to explain what your functions do, you can take advantage of [auto-generated Sphinx documentation](http://www.sphinx-doc.org/en/master/) later on. Once you are happy with how you have written your `node` functions, you will run `kedro jupyter convert --all` (or `kedro jupyter convert `) to export the code cells [tagged](https://jupyter-notebook.readthedocs.io/en/stable/changelog.html#cell-tags) as `node` into the `src/kedro_tutorial/nodes/` folder as a `.py` file. 2. When you are ready with a node you should add it to the pipeline in `src/kedro_tutorial/pipeline.py`, specifying its inputs and outputs. diff --git a/features/jupyter.feature b/features/jupyter.feature index 1bd2b7ba30..5b05a25446 100644 --- a/features/jupyter.feature +++ b/features/jupyter.feature @@ -35,9 +35,16 @@ Feature: Jupyter targets in new project And I have executed the kedro command "install" Scenario: Execute jupyter-notebook target - When I execute the kedro jupyter command "notebook" + When I execute the kedro jupyter command "notebook --no-browser" Then jupyter notebook should run on port 8888 Scenario: Execute jupyter-lab target - When I execute the kedro jupyter command "lab" + When I execute the kedro jupyter command "lab --no-browser" Then Jupyter Lab should run on port 8888 + + Scenario: Execute node convert into Python files + Given I have added a test jupyter notebook + When I execute the test jupyter notebook and save changes + And I execute the kedro jupyter command "convert --all" + And Wait until the process is finished + Then Code cell with node tag should be converted into kedro node diff --git a/features/steps/cli_steps.py b/features/steps/cli_steps.py index 9c6d58a335..d5877f2eef 100644 --- a/features/steps/cli_steps.py +++ b/features/steps/cli_steps.py @@ -46,7 +46,7 @@ OK_EXIT_CODE = 0 -TEST_JUPYTER_NB_SOURCE_ORG = r""" +TEST_JUPYTER_ORG = r""" { "cells": [ { @@ -84,13 +84,17 @@ """ # The difference -TEST_JUPYTER_NB_SOURCE_AFTER_EXEC = r""" +TEST_JUPYTER_AFTER_EXEC = r""" { "cells": [ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "tags": [ + "node" + ] + }, "outputs": [ { "name": "stdout", @@ -162,11 +166,12 @@ def _create_config_file(context, include_example): context.project_name = "project-dummy" root_project_dir = context.temp_dir / context.project_name context.root_project_dir = root_project_dir + context.package_name = context.project_name.replace("-", "_") config = { "project_name": context.project_name, "repo_name": context.project_name, "output_dir": str(context.temp_dir), - "python_package": context.project_name.replace("-", "_"), + "python_package": context.package_name, "include_example": include_example, } with context.config_file.open("w") as config_file: @@ -274,11 +279,11 @@ def init_git_repo(context): @given("I have added a test jupyter notebook") def add_test_jupyter_nb(context): - """Create a test jupyter notebook using TEST_JUPYTER_NB_SOURCE_ORG.""" + """Create a test jupyter notebook using TEST_JUPYTER_ORG.""" with open( str(context.root_project_dir / "notebooks" / "hello_world.ipynb"), "wt" ) as test_nb_fh: - test_nb_fh.write(TEST_JUPYTER_NB_SOURCE_ORG) + test_nb_fh.write(TEST_JUPYTER_ORG) @given("I have run a non-interactive kedro new") @@ -367,19 +372,25 @@ def exec_notebook(context, command): # Jupyter notebook forks a child process from a parent process, and # only kills the parent process when it is terminated context.result = ChildTerminatingPopen( - cmd + ["--no-browser"], env=context.env, cwd=str(context.root_project_dir) + cmd, env=context.env, cwd=str(context.root_project_dir) ) +@when("Wait until the process is finished") +def wait(context): + """Wait for child process to terminate.""" + context.result.wait() + + @when("I execute the test jupyter notebook and save changes") def simulate_nb_execution(context): - """Change test jupyter notebook to TEST_JUPYTER_NB_SOURCE_AFTER_EXEC + """Change test jupyter notebook to TEST_JUPYTER_AFTER_EXEC simulate that it was executed and output was saved. """ with open( str(context.root_project_dir / "notebooks" / "hello_world.ipynb"), "wt" ) as test_nb_fh: - test_nb_fh.write(TEST_JUPYTER_NB_SOURCE_AFTER_EXEC) + test_nb_fh.write(TEST_JUPYTER_AFTER_EXEC) @when("I remove the notebooks directory") @@ -396,6 +407,14 @@ def do_git_reset_hard(context): check_run("git reset --hard HEAD") +@when("I add {dependency} to the requirements") +def add_req(context: behave.runner.Context, dependency: str): + reqs_path = context.root_project_dir / "src" / "requirements.in" + if reqs_path.is_file(): + with open(str(reqs_path), "a") as reqs_file: + reqs_file.write("\n" + str(dependency) + "\n") + + @then("CLI should print the version in an expected format") def check_kedro_version(context): """Behave step to check validity of the kedro version.""" @@ -537,7 +556,7 @@ def check_error_message_printed(context, msg): @then("there should be an additional cell in the jupyter notebook") def check_additional_cell_added(context): """Check that an addiitonal cell has been added compared to notebook - coded by TEST_JUPYTER_NB_SOURCE_ORG. + coded by TEST_JUPYTER_ORG. """ with open( str(context.root_project_dir / "notebooks" / "hello_world.ipynb") @@ -619,15 +638,20 @@ def check_reqs_generated(context: behave.runner.Context): ) -@when("I add {dependency} to the requirements") -def add_req(context: behave.runner.Context, dependency: str): - reqs_path = context.root_project_dir / "src" / "requirements.in" - if reqs_path.is_file(): - with open(str(reqs_path), "a") as reqs_file: - reqs_file.write(str(dependency) + "\n") - - @then("{dependency} should be in the requirements") def check_dependency_in_reqs(context: behave.runner.Context, dependency: str): reqs_path = context.root_project_dir / "src" / "requirements.txt" assert dependency in reqs_path.read_text() + + +@then("Code cell with node tag should be converted into kedro node") +def check_cell_conversion(context: behave.runner.Context): + converted_file = ( + context.root_project_dir + / "src" + / context.package_name + / "nodes" + / "hello_world.py" + ) + + assert "Hello World!" in converted_file.read_text() From b9def342365128b4846adc1084c7180a745f2788 Mon Sep 17 00:00:00 2001 From: Yusuke Minami <33908456+Minyus@users.noreply.github.com> Date: Sat, 10 Aug 2019 00:34:29 +0800 Subject: [PATCH 74/83] [KED-923] Add YAMLLocalDataset in `contrib` (#69) --- RELEASE.md | 3 +- docs/source/05_api_docs/kedro.contrib.io.rst | 1 + kedro/contrib/io/yaml_local/README.md | 27 +++ kedro/contrib/io/yaml_local/__init__.py | 32 ++++ kedro/contrib/io/yaml_local/yaml_local.py | 109 ++++++++++++ tests/contrib/io/yaml_local/__init__.py | 0 .../contrib/io/yaml_local/test_yaml_local.py | 161 ++++++++++++++++++ 7 files changed, 332 insertions(+), 1 deletion(-) create mode 100644 kedro/contrib/io/yaml_local/README.md create mode 100644 kedro/contrib/io/yaml_local/__init__.py create mode 100644 kedro/contrib/io/yaml_local/yaml_local.py create mode 100644 tests/contrib/io/yaml_local/__init__.py create mode 100644 tests/contrib/io/yaml_local/test_yaml_local.py diff --git a/RELEASE.md b/RELEASE.md index c5192fe605..5459a85f42 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -12,6 +12,7 @@ * Jupyter Lab/Notebook now starts with only one kernel by default. * Running `kedro install` will install packages to conda environment if `src/environment.yml` exists in your project. - Added `CachedDataSet` in `contrib` which will cache data in memory to avoid io/network operations. It will clear the cache once a dataset is no longer needed by a pipeline. (by [@tsanikgr](https://github.com/tsanikgr)) +- Added `YAMLLocalDataSet` in `contrib` to load and save local YAML files. (by [@Minyus](https://github.com/Minyus)) ## Bug fixes and other changes * Documentation improvements including instructions on how to initialise a Spark session using YAML configuration. @@ -82,7 +83,7 @@ If you defined any custom dataset classes which support versioning in your proje These steps should have brought your project to Kedro 0.15.0. There might be some more minor tweaks needed as every project is unique, but now you have a pretty solid base to work with. If you run into any problems, please consult the [Kedro documentation](https://kedro.readthedocs.io). ## Thanks for supporting contributions -[Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman), [Mayur Chougule](https://github.com/mmchougule), [Marat Kopytjuk](https://github.com/kopytjuk), [Evan Miller](https://github.com/evanmiller29) +[Dmitry Vukolov](https://github.com/dvukolov), [Jo Stichbury](https://github.com/stichbury), [Angus Williams](https://github.com/awqb), [Deepyaman Datta](https://github.com/deepyaman), [Mayur Chougule](https://github.com/mmchougule), [Marat Kopytjuk](https://github.com/kopytjuk), [Evan Miller](https://github.com/evanmiller29), [Yusuke Minami](https://github.com/Minyus) # Release 0.14.3 diff --git a/docs/source/05_api_docs/kedro.contrib.io.rst b/docs/source/05_api_docs/kedro.contrib.io.rst index 06fa29137f..8af937d758 100644 --- a/docs/source/05_api_docs/kedro.contrib.io.rst +++ b/docs/source/05_api_docs/kedro.contrib.io.rst @@ -26,3 +26,4 @@ kedro.contrib.io kedro.contrib.io.pyspark.SparkDataSet kedro.contrib.io.pyspark.SparkJDBCDataSet kedro.contrib.io.parquet.ParquetS3DataSet + kedro.contrib.io.yaml_local.YAMLLocalDataSet diff --git a/kedro/contrib/io/yaml_local/README.md b/kedro/contrib/io/yaml_local/README.md new file mode 100644 index 0000000000..f44cc70429 --- /dev/null +++ b/kedro/contrib/io/yaml_local/README.md @@ -0,0 +1,27 @@ +# YAML + +``YAMLLocalDataset`` loads and saves data to a local yaml file using ``PyYAML``. +See [PyYAMLDocumentation](https://pyyaml.org/wiki/PyYAMLDocumentation) for details. + + +#### Example use: + +```python +from kedro.contrib.io.yaml_local import YAMLLocalDataSet +my_dict = { + 'a_string': 'Hello, World!', + 'a_list': [1, 2, 3] +} +data_set = YAMLLocalDataSet(filepath="test.yml") +data_set.save(my_dict) +reloaded = data_set.load() +assert my_dict == reloaded +``` + +#### Example catalog.yml: + +```yaml +example_yaml_data: + type: kedro.contrib.io.yaml_local.YAMLLocalDataSet + filepath: data/08_reporting/test.yml +``` diff --git a/kedro/contrib/io/yaml_local/__init__.py b/kedro/contrib/io/yaml_local/__init__.py new file mode 100644 index 0000000000..e765bd0046 --- /dev/null +++ b/kedro/contrib/io/yaml_local/__init__.py @@ -0,0 +1,32 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``YAMLLocalDataset`` is an ``AbstractVersionedDataSet`` to save and load YAML files. +""" + +from .yaml_local import YAMLLocalDataSet # NOQA diff --git a/kedro/contrib/io/yaml_local/yaml_local.py b/kedro/contrib/io/yaml_local/yaml_local.py new file mode 100644 index 0000000000..f0b8bac26f --- /dev/null +++ b/kedro/contrib/io/yaml_local/yaml_local.py @@ -0,0 +1,109 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + +"""``YAMLLocalDataset`` loads and saves data to a local yaml file using +``PyYAML``. +See https://pyyaml.org/wiki/PyYAMLDocumentation for details. +""" +from pathlib import Path +from typing import Any, Dict + +import pandas as pd +import yaml + +from kedro.contrib.io import DefaultArgumentsMixIn +from kedro.io.core import AbstractVersionedDataSet, DataSetError, Version + + +class YAMLLocalDataSet(DefaultArgumentsMixIn, AbstractVersionedDataSet): + """ + ``YAMLLocalDataset`` loads and saves data to a local yaml file using + ``PyYAML``. + See https://pyyaml.org/wiki/PyYAMLDocumentation for details. + + Example: + :: + + >>> from kedro.contrib.io.yaml_local import YAMLLocalDataSet + >>> my_dict = { + >>> 'a_string': 'Hello, World!', + >>> 'a_list': [1, 2, 3] + >>> } + >>> data_set = YAMLLocalDataSet(filepath="test.yml") + >>> data_set.save(my_dict) + >>> reloaded = data_set.load() + >>> assert my_dict == reloaded + + """ + + DEFAULT_SAVE_ARGS = {"default_flow_style": False} # type: Dict[str, Any] + + def __init__( + self, filepath: str, save_args: Dict[str, Any] = None, version: Version = None + ) -> None: + """Creates a new instance of ``YAMLLocalDataset`` pointing to a concrete + filepath. + + Args: + filepath: path to a local yaml file. + save_args: Arguments passed on to ```yaml.dump``. + See https://pyyaml.org/wiki/PyYAMLDocumentation for details. + ``{"default_flow_style": False}`` in default. + version: If specified, should be an instance of + ``kedro.io.core.Version``. If its ``load`` attribute is + None, the latest version will be loaded. If its ``save`` + attribute is None, save version will be autogenerated. + + """ + super().__init__(filepath=Path(filepath), save_args=save_args, version=version) + + def _describe(self) -> Dict[str, Any]: + return dict( + filepath=self._filepath, save_args=self._save_args, version=self._version + ) + + def _load(self) -> Any: + load_path = Path(self._get_load_path()) + with load_path.open("r") as local_file: + return yaml.safe_load(local_file) + + def _save(self, data: pd.DataFrame) -> None: + save_path = Path(self._get_save_path()) + save_path.parent.mkdir(parents=True, exist_ok=True) + with save_path.open("w") as local_file: + yaml.dump(data, local_file, **self._save_args) + + load_path = Path(self._get_load_path()) + self._check_paths_consistency(load_path.absolute(), save_path.absolute()) + + def _exists(self) -> bool: + try: + path = self._get_load_path() + except DataSetError: + return False + return Path(path).is_file() diff --git a/tests/contrib/io/yaml_local/__init__.py b/tests/contrib/io/yaml_local/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/contrib/io/yaml_local/test_yaml_local.py b/tests/contrib/io/yaml_local/test_yaml_local.py new file mode 100644 index 0000000000..68907b4948 --- /dev/null +++ b/tests/contrib/io/yaml_local/test_yaml_local.py @@ -0,0 +1,161 @@ +# Copyright 2018-2019 QuantumBlack Visual Analytics Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND +# NONINFRINGEMENT. IN NO EVENT WILL THE LICENSOR OR OTHER CONTRIBUTORS +# BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN +# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF, OR IN +# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +# +# The QuantumBlack Visual Analytics Limited ("QuantumBlack") name and logo +# (either separately or in combination, "QuantumBlack Trademarks") are +# trademarks of QuantumBlack. The License does not grant you any right or +# license to the QuantumBlack Trademarks. You may not use the QuantumBlack +# Trademarks or any confusingly similar mark as a trademark for your product, +# or use the QuantumBlack Trademarks in any other manner that might cause +# confusion in the marketplace, including but not limited to in advertising, +# on websites, or on software. +# +# See the License for the specific language governing permissions and +# limitations under the License. + + +import pytest + +from kedro.contrib.io.yaml_local import YAMLLocalDataSet +from kedro.io import DataSetError +from kedro.io.core import Version, generate_current_version + + +@pytest.fixture(params=[None]) +def load_version(request): + return request.param + + +@pytest.fixture(params=[None]) +def save_version(request): + return request.param or generate_current_version() + + +@pytest.fixture +def filepath_yaml(tmp_path): + return str(tmp_path / "test.yaml") + + +@pytest.fixture +def yaml_data_set(filepath_yaml): + return YAMLLocalDataSet(filepath=filepath_yaml) + + +@pytest.fixture +def versioned_yaml_data_set(filepath_yaml, load_version, save_version): + return YAMLLocalDataSet( + filepath=filepath_yaml, version=Version(load_version, save_version) + ) + + +@pytest.fixture(params=[[1, 2, 3]]) +def yaml_data(request): + return request.param + + +class TestYAMLLocalDataSet: + @pytest.mark.parametrize( + "yaml_data", {"a_string": "Hello, World!", "a_list": [1, 2, 3]}, indirect=True + ) + def test_save_and_load(self, yaml_data_set, yaml_data): + """Test saving and reloading the data set.""" + yaml_data_set.save(yaml_data) + reloaded = yaml_data_set.load() + + assert yaml_data == reloaded + + def test_load_missing_file(self, yaml_data_set): + """Check the error when trying to load missing file.""" + pattern = r"Failed while loading data from data set " r"YAMLLocalDataSet\(.*\)" + with pytest.raises(DataSetError, match=pattern): + yaml_data_set.load() + + def test_exists(self, yaml_data_set, yaml_data): + """Test `exists` method invocation.""" + assert not yaml_data_set.exists() + + yaml_data_set.save(yaml_data) + assert yaml_data_set.exists() + + +class TestYAMLLocalDataSetVersioned: + def test_save_and_load(self, versioned_yaml_data_set, yaml_data): + """Test that saved and reloaded data matches the original one for + the versioned data set.""" + versioned_yaml_data_set.save(yaml_data) + reloaded_df = versioned_yaml_data_set.load() + assert yaml_data == reloaded_df + + def test_no_versions(self, versioned_yaml_data_set): + """Check the error if no versions are available for load.""" + pattern = r"Did not find any versions for YAMLLocalDataSet\(.+\)" + with pytest.raises(DataSetError, match=pattern): + versioned_yaml_data_set.load() + + def test_exists(self, versioned_yaml_data_set, yaml_data): + """Test `exists` method invocation for versioned data set.""" + assert not versioned_yaml_data_set.exists() + + versioned_yaml_data_set.save(yaml_data) + assert versioned_yaml_data_set.exists() + + def test_prevent_overwrite(self, versioned_yaml_data_set, yaml_data): + """Check the error when attempting to override the data set if the + corresponding hdf file for a given save version already exists.""" + versioned_yaml_data_set.save(yaml_data) + pattern = ( + r"Save path \`.+\` for YAMLLocalDataSet\(.+\) must " + r"not exist if versioning is enabled\." + ) + with pytest.raises(DataSetError, match=pattern): + versioned_yaml_data_set.save(yaml_data) + + @pytest.mark.parametrize( + "load_version", ["2019-01-01T23.59.59.999Z"], indirect=True + ) + @pytest.mark.parametrize( + "save_version", ["2019-01-02T00.00.00.000Z"], indirect=True + ) + def test_save_version_warning( + self, versioned_yaml_data_set, load_version, save_version, yaml_data + ): + """Check the warning when saving to the path that differs from + the subsequent load path.""" + pattern = ( + r"Save path `.*/{}/test\.yaml` did not match load path " + r"`.*/{}/test\.yaml` for YAMLLocalDataSet\(.+\)".format( + save_version, load_version + ) + ) + with pytest.warns(UserWarning, match=pattern): + versioned_yaml_data_set.save(yaml_data) + + def test_version_str_repr(self, load_version, save_version): + """Test that version is in string representation of the class instance + when applicable.""" + filepath = "test.yaml" + ds = YAMLLocalDataSet(filepath=filepath) + ds_versioned = YAMLLocalDataSet( + filepath=filepath, version=Version(load_version, save_version) + ) + assert filepath in str(ds) + assert "version" not in str(ds) + + assert filepath in str(ds_versioned) + ver_str = "version=Version(load={}, save='{}')".format( + load_version, save_version + ) + assert ver_str in str(ds_versioned) From b0d468e3543f16e784c054d6577dceb650092234 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Mon, 12 Aug 2019 15:35:20 +0100 Subject: [PATCH 75/83] Update documentation for release 0.15.0 (#182) --- README.md | 3 +++ RELEASE.md | 7 ++----- .../02_getting_started/04_hello_world.md | 1 + docs/source/03_tutorial/03_set_up_data.md | 9 ++------- .../03_tutorial/05_package_a_project.md | 4 ++-- .../04_user_guide/09_developing_plugins.md | 2 +- docs/source/04_user_guide/10_ipython.md | 10 +++++----- .../images/jupyter_notebook_ch10-1.png | Bin 70140 -> 68491 bytes .../images/jupyter_notebook_ch10-2.png | Bin 123797 -> 89252 bytes 9 files changed, 16 insertions(+), 20 deletions(-) diff --git a/README.md b/README.md index 74632ed945..f38f46d880 100644 --- a/README.md +++ b/README.md @@ -24,6 +24,9 @@ Kedro is a workflow development tool that helps you build data pipelines that ar Kedro was originally designed by [Aris Valtazanos](https://github.com/arisvqb) and [Nikolaos Tsaousis](https://github.com/tsanikgr) to solve challenges they faced in their project work. +This work was later turned into a product thanks to the following contributors: +[Ivan Danov](https://github.com/idanov), [Dmitrii Deriabin](https://github.com/DmitryDeryabin), [Gordon Wrigley](https://github.com/tolomea), [Yetunde Dada](https://github.com/yetudada), [Nasef Khan](https://github.com/nakhan98), [Kiyohito Kunii](https://github.com/921kiyo), [Nikolaos Kaltsas](https://github.com/nikos-kal), [Meisam Emamjome](https://github.com/misamae), [Peteris Erins](https://github.com/Pet3ris), [Lorena Balan](https://github.com/lorenabalan), [Richard Westenra](https://github.com/richardwestenra), [Anton Kirilenko](https://github.com/Flid) + ## How do I install Kedro? `kedro` is a Python package. To install it, simply run: diff --git a/RELEASE.md b/RELEASE.md index 5459a85f42..e00a6dbef5 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -53,8 +53,8 @@ The easiest way to migrate your project from Kedro 0.14.* to Kedro 0.15.0 is to - `conf/` 3. If you customised your `src//run.py`, make sure you apply the same customisations to `src//run.py` - - If you customised `get_config()`, you can override `_create_config()` method in `ProjectContext` derived class - - If you customised `create_catalog()`, you can override `_create_catalog()` method in `ProjectContext` derived class + - If you customised `get_config()`, you can override `config_loader` property in `ProjectContext` derived class + - If you customised `create_catalog()`, you can override `catalog()` property in `ProjectContext` derived class - If you customised `run()`, you can override `run()` method in `ProjectContext` derived class - If you customised default `env`, you can override it in `ProjectContext` derived class or pass it at construction. By default, `env` is `local`. - If you customised default `root_conf`, you can override `CONF_ROOT` attribute in `ProjectContext` derived class. By default, `KedroContext` base class has `CONF_ROOT` attribute set to `conf`. @@ -138,9 +138,6 @@ None The initial release of Kedro. -## Thanks to our main contributors - -[Nikolaos Tsaousis](https://github.com/tsanikgr), [Ivan Danov](https://github.com/idanov), [Dmitrii Deriabin](https://github.com/DmitryDeryabin), [Gordon Wrigley](https://github.com/tolomea), [Yetunde Dada](https://github.com/yetudada), [Nasef Khan](https://github.com/nakhan98), [Kiyohito Kunii](https://github.com/921kiyo), [Nikolaos Kaltsas](https://github.com/nikos-kal), [Meisam Emamjome](https://github.com/misamae), [Peteris Erins](https://github.com/Pet3ris), [Lorena Balan](https://github.com/lorenabalan), [Richard Westenra](https://github.com/richardwestenra) ## Thanks for supporting contributions diff --git a/docs/source/02_getting_started/04_hello_world.md b/docs/source/02_getting_started/04_hello_world.md index 24c2ddf4f3..2bf70a11e6 100644 --- a/docs/source/02_getting_started/04_hello_world.md +++ b/docs/source/02_getting_started/04_hello_world.md @@ -21,6 +21,7 @@ The project directory will be structured as shown. You are free to adapt the fol getting-started # Parent directory of the template ├── .gitignore # Prevent staging of unnecessary files to git ├── kedro_cli.py # A collection of Kedro command line interface (CLI) commands +├── .kedro.yml # Path to discover project context ├── README.md # Project README ├── .ipython # IPython startup scripts ├── conf # Project configuration files diff --git a/docs/source/03_tutorial/03_set_up_data.md b/docs/source/03_tutorial/03_set_up_data.md index f0ee29a18e..27777cfe7b 100644 --- a/docs/source/03_tutorial/03_set_up_data.md +++ b/docs/source/03_tutorial/03_set_up_data.md @@ -64,13 +64,7 @@ If you want to check whether Kedro loads the data correctly, open a `kedro ipyth context.catalog.load('companies').head() ``` -This should show you the first five rows of the dataset. If you want to explore more of it before moving on with the project: - -```python -df = context.catalog.load('companies') -``` - -The entire `companies` dataset is loaded into a `pandas` DataFrame and you can play with it as you wish. +This should show you the first five rows of the dataset. The entire `companies` dataset is loaded into a `pandas` DataFrame and you can play with it as you wish. When you have finished, simply close `ipython` session by typing the following: @@ -112,6 +106,7 @@ class ExcelLocalDataSet(AbstractDataSet): Example: :: + >>> import pandas as pd >>> >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], diff --git a/docs/source/03_tutorial/05_package_a_project.md b/docs/source/03_tutorial/05_package_a_project.md index 4d8c2a5182..cfb76b59a3 100644 --- a/docs/source/03_tutorial/05_package_a_project.md +++ b/docs/source/03_tutorial/05_package_a_project.md @@ -17,9 +17,9 @@ You can package your project by running `kedro package` from the command line. T ## Extend your project -You can also check out [Kedro-Docker](https://github.com/quantumblacklabs/kedro-docker), an officially supported Kedro plugin for packaging and shipping Kedro projects within [Docker](https://www.docker.com/) containers. +- You can also check out [Kedro-Docker](https://github.com/quantumblacklabs/kedro-docker), an officially supported Kedro plugin for packaging and shipping Kedro projects within [Docker](https://www.docker.com/) containers. -We also support converting your Kedro project into an Airflow project with the [Kedro-Airflow](https://github.com/quantumblacklabs/kedro-airflow) plugin. +- We also support converting your Kedro project into an Airflow project with the [Kedro-Airflow](https://github.com/quantumblacklabs/kedro-airflow) plugin. ## What is next? diff --git a/docs/source/04_user_guide/09_developing_plugins.md b/docs/source/04_user_guide/09_developing_plugins.md index 9d31885fbb..883e5faf7d 100644 --- a/docs/source/04_user_guide/09_developing_plugins.md +++ b/docs/source/04_user_guide/09_developing_plugins.md @@ -17,7 +17,7 @@ This function provides access to the verbose flag via the key `verbose` and to a * `catalog`: an instance of `kedro.io.DataCatalog`. * `pipeline`: an instance of `kedro.pipeline.Pipeline`. ->*Note*: Plugins may require additional keys be added to `ProjectContext` in `run.py`. +>*Note*: Plugins may require additional keys to be added to `ProjectContext` in `run.py`. >*Note*: `kedro.cli.get_project_context(key)`, where `key` is `get_config`, `create_catalog`, `create_pipeline`, `template_version`, `project_name` and `project_path`, is deprecated as of `Kedro 0.15.0`, and will be removed for future versions. diff --git a/docs/source/04_user_guide/10_ipython.md b/docs/source/04_user_guide/10_ipython.md index c055b82ec4..aad49bf0cd 100644 --- a/docs/source/04_user_guide/10_ipython.md +++ b/docs/source/04_user_guide/10_ipython.md @@ -18,7 +18,7 @@ Every time you 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""" -__version__ = "0.14.3" +__version__ = "0.15.0" import logging From 83032d9f6dc7b4bafb6b3ff6f09a7d847b460fee Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Tue, 13 Aug 2019 13:16:29 +0100 Subject: [PATCH 77/83] Fix build-reqs end-to-end test (#183) --- features/build-reqs.feature | 2 ++ features/steps/cli_steps.py | 13 +++++++++++-- 2 files changed, 13 insertions(+), 2 deletions(-) diff --git a/features/build-reqs.feature b/features/build-reqs.feature index c08750ceae..b73a3f61cd 100644 --- a/features/build-reqs.feature +++ b/features/build-reqs.feature @@ -32,6 +32,7 @@ Feature: build-reqs target in new project Scenario: Execute build-reqs target Given I have prepared a config file with example code And I have run a non-interactive kedro new + And I have removed kedro from the requirements When I execute the kedro command "build-reqs" Then I should get a successful exit code And requirements should be generated @@ -39,6 +40,7 @@ Feature: build-reqs target in new project Scenario: Execute build-reqs target Given I have prepared a config file with example code And I have run a non-interactive kedro new + And I have removed kedro from the requirements And I have executed the kedro command "build-reqs" When I add scrapy>=1.7.3 to the requirements And I execute the kedro command "build-reqs" diff --git a/features/steps/cli_steps.py b/features/steps/cli_steps.py index d5877f2eef..226865bdb5 100644 --- a/features/steps/cli_steps.py +++ b/features/steps/cli_steps.py @@ -318,6 +318,16 @@ def commit_changes_to_git(context): check_run("git commit -m 'Change {time}'".format(time=time())) +@given("I have removed kedro from the requirements") +def remove_req(context: behave.runner.Context): + reqs_path = context.root_project_dir / "src" / "requirements.txt" + if reqs_path.is_file(): + old_reqs = reqs_path.read_text() + new_reqs = old_reqs.replace("kedro==", "#kedro==") + assert not old_reqs == new_reqs + reqs_path.write_text(new_reqs) + + @when('I execute the kedro command "{command}"') def exec_kedro_target(context, command): """Execute Kedro target.""" @@ -411,8 +421,7 @@ def do_git_reset_hard(context): def add_req(context: behave.runner.Context, dependency: str): reqs_path = context.root_project_dir / "src" / "requirements.in" if reqs_path.is_file(): - with open(str(reqs_path), "a") as reqs_file: - reqs_file.write("\n" + str(dependency) + "\n") + reqs_path.write_text("\n" + str(dependency) + "\n") @then("CLI should print the version in an expected format") From 982ff359f0a7dcbc97030c4c3e44d807fe732220 Mon Sep 17 00:00:00 2001 From: Kiyo <921kiyo@users.noreply.github.com> Date: Tue, 13 Aug 2019 14:14:51 +0100 Subject: [PATCH 78/83] Update CONTRIBUTING.md --- CONTRIBUTING.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 46bb564605..3cbab157e7 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -170,4 +170,4 @@ You can uninstall the pre-commit hooks by running ```bash make uninstall-pre-commit ``` -`pre-commit` will still be used by `make lint`, but will install the git hooks. +`pre-commit` will still be used by `make lint`, but will not install the git hooks. From 33e4fb4a7f5ba33740b9671265546ea687b107c9 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Tue, 13 Aug 2019 14:18:19 +0100 Subject: [PATCH 79/83] Apply suggestions from code review Co-Authored-By: Yetunde Dada <43755008+yetudada@users.noreply.github.com> --- CONTRIBUTING.md | 3 ++- RELEASE.md | 4 ++-- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 46bb564605..68ae793e4e 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -166,7 +166,8 @@ git push --no-verify <...> All checks will run during CI build, so skipping checks on push will not allow you to merge your code with failing checks. -You can uninstall the pre-commit hooks by running +You can uninstall the pre-commit hooks by running: + ```bash make uninstall-pre-commit ``` diff --git a/RELEASE.md b/RELEASE.md index e00a6dbef5..3de6d706e2 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -3,11 +3,11 @@ ## Major features and improvements * Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter notebook cells into Kedro nodes. * Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config, runner). -* Added a new I/O module `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) +* Added a `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) * Added a new `--node` flag to `kedro run`, allowing users to run only the nodes with the specified names. * Added `CSVHTTPDataSet` to load CSV using HTTP(s) links. * Added new `--from-nodes` and `--to-nodes` run arguments, allowing users to run a range of nodes from the pipeline. -* Added prefix `params:` to the parameters specified in `parameters.yml` which allows users to differentiate between their different parameters node inputs and outputs +* Added prefix `params:` to the parameters specified in `parameters.yml` which allows users to differentiate between their different parameter node inputs and outputs * Added `JSONBlobDataSet` to load json (-delimited) files from Azure Blob Storage * Jupyter Lab/Notebook now starts with only one kernel by default. * Running `kedro install` will install packages to conda environment if `src/environment.yml` exists in your project. From 21f82c54cbc472e864424b9d74945d157e3a3737 Mon Sep 17 00:00:00 2001 From: "Kiyohito Kunii (Kiyo)" <8097799+921kiyo@users.noreply.github.com> Date: Tue, 13 Aug 2019 14:20:03 +0100 Subject: [PATCH 80/83] Apply suggestions from code review Co-Authored-By: Yetunde Dada <43755008+yetudada@users.noreply.github.com> --- README.md | 2 +- RELEASE.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index f38f46d880..c9da0922b2 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ Kedro is a workflow development tool that helps you build data pipelines that ar Kedro was originally designed by [Aris Valtazanos](https://github.com/arisvqb) and [Nikolaos Tsaousis](https://github.com/tsanikgr) to solve challenges they faced in their project work. This work was later turned into a product thanks to the following contributors: -[Ivan Danov](https://github.com/idanov), [Dmitrii Deriabin](https://github.com/DmitryDeryabin), [Gordon Wrigley](https://github.com/tolomea), [Yetunde Dada](https://github.com/yetudada), [Nasef Khan](https://github.com/nakhan98), [Kiyohito Kunii](https://github.com/921kiyo), [Nikolaos Kaltsas](https://github.com/nikos-kal), [Meisam Emamjome](https://github.com/misamae), [Peteris Erins](https://github.com/Pet3ris), [Lorena Balan](https://github.com/lorenabalan), [Richard Westenra](https://github.com/richardwestenra), [Anton Kirilenko](https://github.com/Flid) +[Ivan Danov](https://github.com/idanov), [Dmitrii Deriabin](https://github.com/DmitryDeryabin), [Gordon Wrigley](https://github.com/tolomea), [Yetunde Dada](https://github.com/yetudada), [Nasef Khan](https://github.com/nakhan98), [Kiyohito Kunii](https://github.com/921kiyo), [Nikolaos Kaltsas](https://github.com/nikos-kal), [Meisam Emamjome](https://github.com/misamae), [Peteris Erins](https://github.com/Pet3ris), [Lorena Balan](https://github.com/lorenabalan), [Richard Westenra](https://github.com/richardwestenra) and [Anton Kirilenko](https://github.com/Flid). ## How do I install Kedro? diff --git a/RELEASE.md b/RELEASE.md index 3de6d706e2..f260d1e79c 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -1,7 +1,7 @@ # Release 0.15.0 ## Major features and improvements -* Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter notebook cells into Kedro nodes. +* Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter Notebook cells into Kedro nodes. * Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config, runner). * Added a `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) * Added a new `--node` flag to `kedro run`, allowing users to run only the nodes with the specified names. From dcac844981917eb707f89c5a603f4b9e46881a37 Mon Sep 17 00:00:00 2001 From: Kiyo <921kiyo@users.noreply.github.com> Date: Tue, 13 Aug 2019 14:23:53 +0100 Subject: [PATCH 81/83] Update 01_faq.md --- docs/source/06_resources/01_faq.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/source/06_resources/01_faq.md b/docs/source/06_resources/01_faq.md index 3dab30f74d..38ae5392cb 100644 --- a/docs/source/06_resources/01_faq.md +++ b/docs/source/06_resources/01_faq.md @@ -6,6 +6,9 @@ [Kedro](https://github.com/quantumblacklabs/kedro) is a workflow development tool that helps you build data pipelines that are robust, scaleable, deployable, reproducible and versioned. It was originally designed by [Aris Valtazanos](https://github.com/arisvqb) and [Nikolaos Tsaousis](https://github.com/tsanikgr) at [QuantumBlack](https://github.com/quantumblacklabs/) to solve the challenges they faced in their project work. +This work was later turned into a product thanks to the following contributors: +[Ivan Danov](https://github.com/idanov), [Dmitrii Deriabin](https://github.com/DmitryDeryabin), [Gordon Wrigley](https://github.com/tolomea), [Yetunde Dada](https://github.com/yetudada), [Nasef Khan](https://github.com/nakhan98), [Kiyohito Kunii](https://github.com/921kiyo), [Nikolaos Kaltsas](https://github.com/nikos-kal), [Meisam Emamjome](https://github.com/misamae), [Peteris Erins](https://github.com/Pet3ris), [Lorena Balan](https://github.com/lorenabalan), [Richard Westenra](https://github.com/richardwestenra) and [Anton Kirilenko](https://github.com/Flid). + ## What are the primary advantages of Kedro? It is important to consider the primary advantages of Kedro over existing tools. From 1e3c1126b82122edf03f0c382d48f0e208e18de3 Mon Sep 17 00:00:00 2001 From: Kiyo <921kiyo@users.noreply.github.com> Date: Tue, 13 Aug 2019 14:35:05 +0100 Subject: [PATCH 82/83] Update RELEASE.md --- RELEASE.md | 29 ++++++++++++++++------------- 1 file changed, 16 insertions(+), 13 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index f260d1e79c..3fab3579ec 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -1,34 +1,37 @@ # Release 0.15.0 ## Major features and improvements -* Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter Notebook cells into Kedro nodes. * Added `KedroContext` base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config, runner). -* Added a `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) +* Added a new CLI command `kedro jupyter convert` to facilitate converting Jupyter Notebook cells into Kedro nodes. +* Added support for `pip-compile` and new Kedro command `kedro build-reqs` that generates `requirements.txt` based on `requirements.in`. +* Running `kedro install` will install packages to conda environment if `src/environment.yml` exists in your project. * Added a new `--node` flag to `kedro run`, allowing users to run only the nodes with the specified names. -* Added `CSVHTTPDataSet` to load CSV using HTTP(s) links. * Added new `--from-nodes` and `--to-nodes` run arguments, allowing users to run a range of nodes from the pipeline. -* Added prefix `params:` to the parameters specified in `parameters.yml` which allows users to differentiate between their different parameter node inputs and outputs -* Added `JSONBlobDataSet` to load json (-delimited) files from Azure Blob Storage +* Added prefix `params:` to the parameters specified in `parameters.yml` which allows users to differentiate between their different parameter node inputs and outputs. * Jupyter Lab/Notebook now starts with only one kernel by default. -* Running `kedro install` will install packages to conda environment if `src/environment.yml` exists in your project. -- Added `CachedDataSet` in `contrib` which will cache data in memory to avoid io/network operations. It will clear the cache once a dataset is no longer needed by a pipeline. (by [@tsanikgr](https://github.com/tsanikgr)) -- Added `YAMLLocalDataSet` in `contrib` to load and save local YAML files. (by [@Minyus](https://github.com/Minyus)) + + +* Added the following datasets: + - `CSVHTTPDataSet` to load CSV using HTTP(s) links. + - `JSONBlobDataSet` to load json (-delimited) files from Azure Blob Storage. + - `ParquetS3DataSet` in `contrib` for usage with Pandas. (by [@mmchougule](https://github.com/mmchougule)) + - `CachedDataSet` in `contrib` which will cache data in memory to avoid io/network operations. It will clear the cache once a dataset is no longer needed by a pipeline. (by [@tsanikgr](https://github.com/tsanikgr)) + - `YAMLLocalDataSet` in `contrib` to load and save local YAML files. (by [@Minyus](https://github.com/Minyus)) ## Bug fixes and other changes * Documentation improvements including instructions on how to initialise a Spark session using YAML configuration. * `anyconfig` default log level changed from `INFO` to `WARNING`. * Added information on installed plugins to `kedro info`. * Added style sheets for project documentation, so the output of `kedro build-docs` will resemble the style of `kedro docs`. -* Added support for `pip-compile` and new Kedro command `kedro build-reqs` that generates `requirements.txt` based on `requirements.in`. ## Breaking changes to the API * Simplified the Kedro template in `run.py` with the introduction of `KedroContext` class. * Merged `FilepathVersionMixIn` and `S3VersionMixIn` under one abstract class `AbstractVersionedDataSet` which extends`AbstractDataSet`. * `name` changed to be a keyword-only argument for `Pipeline`. -* `CSVLocalDataSet` no longer supports URLs. +* `CSVLocalDataSet` no longer supports URLs. `CSVHTTPDataSet` supports URLs. -#### Migration guide from Kedro 0.14.* to Kedro 0.15.0 -##### Migration for Kedro project template +### Migration guide from Kedro 0.14.* to Kedro 0.15.0 +#### Migration for Kedro project template This guide assumes that: * The framework specific code has not been altered significantly * Your project specific code is stored in the dedicated python package under `src/`. @@ -69,7 +72,7 @@ The easiest way to migrate your project from Kedro 0.14.* to Kedro 0.15.0 is to 6. Copy the contents of the old project's `src/requirements.txt` into the new project's `src/requirements.in` and, from the project root directory, run the `kedro build-reqs` command in your terminal window. -##### Migration for versioning custom dataset classes +#### Migration for versioning custom dataset classes If you defined any custom dataset classes which support versioning in your project, you need to apply the following changes: From c9da1537cf16d064cad0622a89be083a46237ca0 Mon Sep 17 00:00:00 2001 From: Kiyo <921kiyo@users.noreply.github.com> Date: Tue, 13 Aug 2019 14:42:45 +0100 Subject: [PATCH 83/83] Remove unnecessary spaces --- RELEASE.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/RELEASE.md b/RELEASE.md index 3fab3579ec..90fc5d35a5 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -9,8 +9,6 @@ * Added new `--from-nodes` and `--to-nodes` run arguments, allowing users to run a range of nodes from the pipeline. * Added prefix `params:` to the parameters specified in `parameters.yml` which allows users to differentiate between their different parameter node inputs and outputs. * Jupyter Lab/Notebook now starts with only one kernel by default. - - * Added the following datasets: - `CSVHTTPDataSet` to load CSV using HTTP(s) links. - `JSONBlobDataSet` to load json (-delimited) files from Azure Blob Storage.