Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Release candidate 0.3.1 #106

Merged
merged 4 commits into from
Aug 18, 2024
Merged

Release candidate 0.3.1 #106

merged 4 commits into from
Aug 18, 2024

Conversation

mmcdermott
Copy link
Collaborator

@mmcdermott mmcdermott commented Aug 18, 2024

Fixed #88, #101, #104, and #105 and improves test organization and coverage.

Summary by CodeRabbit

  • New Features

    • Enhanced configuration of the autoflake hook to remove unused imports directly.
    • Improved logic for renaming DataFrame columns with additional validation for the "patient_id" column.
    • Expanded the load method in configuration classes with detailed examples and robust error handling for predicates.
    • Introduced tests for the expand_shards command-line interface and help message functionality of aces-cli.
    • Developed a testing framework for medical event data extraction, including new utility functions for testing.
  • Bug Fixes

    • Enhanced error handling and logging for DataFrame processing and validation.
  • Documentation

    • Improved documentation in the configuration loading process and added doctests for clarity.
  • Chores

    • Streamlined test files by importing utility functions to promote code reuse and organization.

Copy link
Contributor

coderabbitai bot commented Aug 18, 2024

Walkthrough

The recent changes enhance the functionality and robustness of the ACES project. Key updates include improved configuration handling in src/aces/config.py, streamlined DataFrame operations in src/aces/__main__.py, and the introduction of new testing frameworks to ensure command-line tools operate correctly. These modifications collectively aim to enhance code maintainability, facilitate better error handling, and increase test coverage, particularly focusing on command-line interface features and configuration file management.

Changes

Files Change Summary
.pre-commit-config.yaml Added --remove-all-unused-imports argument to autoflake hook for improved functionality.
src/aces/__main__.py, src/aces/config.py Improved DataFrame handling and validation checks; refined metadata processing in configuration.
tests/test_e2e.py, tests/utils.py Removed local functions, replaced with imports from utils for better code reuse and modularity.
tests/test_expand_shards.py, tests/test_help_message.py, tests/test_meds.py Introduced new tests to validate CLI functionality and medical data extraction processes.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant CLI
    participant Config
    participant DataFrame

    User->>CLI: Execute command
    CLI->>Config: Load configuration
    Config->>Config: Validate metadata
    Config-->>CLI: Return configuration
    CLI->>DataFrame: Process data
    DataFrame->>DataFrame: Rename columns
    DataFrame-->>CLI: Return processed data
    CLI-->>User: Show results
Loading

Assessment against linked issues

Objective Addressed Explanation
Ignore a metadata key in configuration files to allow for more flexible metadata (#[101])

Poem

🐇 In the warren of code, changes abound,
With streamlined paths and fixes profound.
A hop for the helper, a leap for the test,
In the garden of logic, we strive for the best!
So let’s cheer for the tweaks, with joy we embrace,
For each little change, we quicken our pace! 🎉


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share
Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai generate interesting stats about this repository and render them as a table.
    • @coderabbitai show all the console.log statements in this repository.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

Copy link

codecov bot commented Aug 18, 2024

Codecov Report

Attention: Patch coverage is 89.47368% with 2 lines in your changes missing coverage. Please review.

Files Patch % Lines
src/aces/__main__.py 90.00% 1 Missing ⚠️
src/aces/config.py 88.88% 1 Missing ⚠️
Files Coverage Δ
src/aces/__main__.py 94.73% <90.00%> (ø)
src/aces/config.py 95.50% <88.88%> (ø)

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 6

Outside diff range, codebase verification and nitpick comments (5)
tests/test_help_message.py (1)

11-20: Consider expanding test coverage for the help message.

The current tests check for specific strings in the help output, which is a good start. However, consider verifying additional parts of the help message to ensure comprehensive coverage. This could include checking for options, commands, or examples provided in the help message.

tests/test_expand_shards.py (1)

13-30: Consider adding edge case tests for expand_shards.

The current tests cover typical use cases effectively. However, consider adding tests for edge cases, such as empty input directories or invalid shard names, to ensure robust error handling and comprehensive test coverage.

tests/test_meds.py (2)

4-11: Consider import optimization.

The imports seem necessary for the functionality provided. However, ensure that all imported modules are used in the file to avoid unnecessary imports.


25-31: Ensure consistent timestamp format usage.

The timestamp format TS_FORMAT is defined but not used in the code. Ensure consistency in timestamp format usage across the file.

src/aces/config.py (1)

1208-1211: Clarify the purpose of metadata and description keys.

The metadata and description keys are removed from the configuration. Ensure that this behavior aligns with the project's requirements and document the rationale if necessary.

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between d0d74e9 and 20ac690.

Files selected for processing (8)
  • .pre-commit-config.yaml (1 hunks)
  • src/aces/main.py (1 hunks)
  • src/aces/config.py (4 hunks)
  • tests/test_e2e.py (2 hunks)
  • tests/test_expand_shards.py (1 hunks)
  • tests/test_help_message.py (1 hunks)
  • tests/test_meds.py (1 hunks)
  • tests/utils.py (1 hunks)
Additional context used
GitHub Check: codecov/patch
src/aces/__main__.py

[warning] 171-171: src/aces/main.py#L171
Added line #L171 was not covered by tests

src/aces/config.py

[warning] 1250-1250: src/aces/config.py#L1250
Added line #L1250 was not covered by tests

Additional comments not posted (7)
.pre-commit-config.yaml (1)

41-41: LGTM! Verify the impact of autoflake changes.

The addition of --in-place and --remove-all-unused-imports to the autoflake hook is a positive change for maintaining clean code. Ensure that this change does not inadvertently remove necessary imports, especially in dynamically imported modules.

tests/utils.py (2)

43-52: LGTM: Detailed DataFrame comparison.

The function provides a detailed comparison of DataFrames, which is useful for debugging test failures.


55-115: LGTM: Effective schema validation and adjustment.

The function effectively validates and adjusts the schema of a DataFrame, ensuring compliance with expected types and handling missing columns appropriately.

src/aces/__main__.py (2)

162-168: LGTM: Streamlined column renaming.

The use of a loop to handle column renaming improves code readability and maintainability by reducing redundancy.


169-175: LGTM: Enhanced "patient_id" column checks.

The additional checks for the "patient_id" column improve error handling and ensure data integrity, providing informative feedback when the column is missing.

Tools
GitHub Check: codecov/patch

[warning] 171-171: src/aces/main.py#L171
Added line #L171 was not covered by tests

tests/test_e2e.py (1)

13-13: LGTM: Improved modularity with utility imports.

Importing run_command and assert_df_equal from tests/utils.py promotes code reuse and simplifies the test file, enhancing modularity and maintainability.

src/aces/config.py (1)

1246-1254: Ensure comprehensive test coverage for predicate validation.

The logic for validating predicates includes checking for undefined predicates. Ensure that this logic is covered by tests to prevent future regressions.

Tools
GitHub Check: codecov/patch

[warning] 1250-1250: src/aces/config.py#L1250
Added line #L1250 was not covered by tests

tests/utils.py Show resolved Hide resolved
src/aces/__main__.py Outdated Show resolved Hide resolved
tests/test_meds.py Outdated Show resolved Hide resolved
tests/test_meds.py Outdated Show resolved Hide resolved
tests/test_meds.py Outdated Show resolved Hide resolved
tests/test_meds.py Outdated Show resolved Hide resolved
Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 20ac690 and b1833ba.

Files selected for processing (2)
  • .github/workflows/python-build.yaml (1 hunks)
  • pyproject.toml (2 hunks)
Additional comments not posted (5)
pyproject.toml (2)

1-3: Build system section reorganization looks good.

Moving the build system section to the top enhances clarity and organization. Specifying the required packages with version constraints ensures compatibility with newer versions.


7-7: Dynamic version management is a good improvement.

Changing the version field to dynamic allows for more flexible version management, ensuring that releases are always up-to-date.

.github/workflows/python-build.yaml (3)

6-28: Build job configuration looks good.

The steps for setting up Python, installing pypa/build, building the distribution, and storing the packages are correctly configured and follow standard practices.


30-52: Publish-to-PyPI job configuration looks secure and correct.

The job is configured to publish only on tag pushes, which is a good practice. The use of id-token: write ensures secure publishing.


53-95: GitHub release job configuration is well-structured.

The steps for signing with Sigstore and uploading to GitHub Release are correctly configured and follow best practices. The use of id-token: write and contents: write permissions is appropriate for this workflow.

@mmcdermott mmcdermott merged commit 366d55a into main Aug 18, 2024
10 checks passed
@mmcdermott mmcdermott deleted the fix_a_few_issues branch August 18, 2024 14:34
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment