Validate dataset ID and update dependencies (#19)

.devcontainer/Dockerfile

@@ -8,7 +8,7 @@ ARG USER_GID=$USER_UID
 RUN if [ "$USER_GID" != "1000" ] || [ "$USER_UID" != "1000" ]; then groupmod --gid $USER_GID vscode && usermod --uid $USER_UID --gid $USER_GID vscode; fi
 
 # [Option] Install Node.js
-ARG INSTALL_NODE="true"
+ARG INSTALL_NODE="false"
 ARG NODE_VERSION="lts/*"
 RUN if [ "${INSTALL_NODE}" = "true" ]; then su vscode -c "umask 0002 && . /usr/local/share/nvm/nvm.sh && nvm install ${NODE_VERSION} 2>&1"; fi
 

.pre-commit-config.yaml

@@ -45,13 +45,13 @@ repos:
       - id: no-commit-to-branch
         args: [--branch, dev, --branch, int, --branch, main]
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.4.9
+    rev: v0.5.1
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]
       - id: ruff-format
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.10.0
+    rev: v1.10.1
     hooks:
       - id: mypy
         args: [--no-warn-unused-ignores]

.pyproject_generation/pyproject_custom.toml

@@ -1,11 +1,11 @@
 [project]
 name = "ars"
-version = "2.0.2"
+version = "2.0.3"
 description = "Access Request Service"
 dependencies = [
-    "ghga-event-schemas~=3.3.0",
+    "ghga-event-schemas~=3.3.1",
     "ghga-service-commons[api,auth]>=3.1.5",
-    "hexkit[mongodb,akafka]>=3.2.2",
+    "hexkit[mongodb,akafka]>=3.3.0",
     "httpx>=0.27",
     "typer>=0.12",
 ]

README.md

@@ -16,21 +16,21 @@ We recommend using the provided Docker container.
 
 A pre-build version is available at [docker hub](https://hub.docker.com/repository/docker/ghga/access-request-service):
 ```bash
-docker pull ghga/access-request-service:2.0.2
+docker pull ghga/access-request-service:2.0.3
 ```
 
 Or you can build the container yourself from the [`./Dockerfile`](./Dockerfile):
 ```bash
 # Execute in the repo's root dir:
-docker build -t ghga/access-request-service:2.0.2 .
+docker build -t ghga/access-request-service:2.0.3 .
 ```
 
 For production-ready deployment, we recommend using Kubernetes, however,
 for simple use cases, you could execute the service using docker
 on a single server:
 ```bash
 # The entrypoint is preconfigured:
-docker run -p 8080:8080 ghga/access-request-service:2.0.2 --help
+docker run -p 8080:8080 ghga/access-request-service:2.0.3 --help
 ```
 
 If you prefer not to use containers, you may install the service from source:
@@ -197,6 +197,8 @@ The service requires the following configuration parameters:
   ```
 
 
+- **`log_traceback`** *(boolean)*: Whether to include exception tracebacks in log messages. Default: `true`.
+
 - **`auth_key`** *(string)*: The GHGA internal public key for validating the token signature.
 
 

config_schema.json

@@ -182,6 +182,12 @@
       ],
       "title": "Log Format"
     },
+    "log_traceback": {
+      "default": true,
+      "description": "Whether to include exception tracebacks in log messages.",
+      "title": "Log Traceback",
+      "type": "boolean"
+    },
     "auth_key": {
       "description": "The GHGA internal public key for validating the token signature.",
       "examples": [

example_config.yaml

@@ -36,6 +36,7 @@ kafka_ssl_keyfile: ''
 kafka_ssl_password: ''
 log_format: null
 log_level: INFO
+log_traceback: true
 openapi_url: /openapi.json
 port: 8080
 service_instance_id: '1'

lock/requirements-dev-template.in

@@ -1,7 +1,7 @@
 # common requirements for development and testing of services
 
 pytest>=8.2
-pytest-asyncio>=0.23.6
+pytest-asyncio>=0.23.7
 pytest-cov>=5
 snakeviz>=2.2
 logot>=1.3
@@ -29,4 +29,4 @@ setuptools>=69.5
 # required since switch to pyproject.toml and pip-tools
 tomli_w>=1.0
 
-uv>=0.1.44
+uv>=0.2.13