chromestatus-backend

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Guidance for working on the Flask-based backend, NDB Datastore, and OpenAPI integrations in chromium-dashboard.

GoogleChrome By GoogleChrome schedule Updated 3/11/2026

name: chromestatus-backend description: Guidance for working on the Flask-based backend, NDB Datastore, and OpenAPI integrations in chromium-dashboard.

Backend Development Skill

This skill provides context and guidelines for developing the backend of the chromium-dashboard project.

Core Technologies

  • Flask: The primary web framework for request handling and template rendering.
  • Cloud NDB: Used for interacting with Google Cloud Datastore.
  • OpenAPI 3.0: Used for defining APIs and generating Python data models.

Key Directories

  • api/: Contains Flask request handlers for various API endpoints.
  • framework/: Core infrastructure, including basehandlers.py and utility functions.
  • internals/: Business logic, search filters, and data processing.
  • pages/: (LEGACY) Handlers for main application pages. Do not add new code here.
  • openapi/: OpenAPI specification file (api.yaml).
  • gen/py/chromestatus_openapi/: Auto-generated Python models from OpenAPI.

Guidelines

  • API Development: Prefer adding new APIs via OpenAPI in openapi/api.yaml. Use make openapi-backend to regenerate models.
  • Handlers: Extend basehandlers.py classes for consistent permission checking and response handling. Do not add new handlers to the legacy pages/ directory.
  • Datastore: Use NDB models defined in internals/models.py. Ensure queries are optimized and use proper indexing (see index.yaml).
  • Testing: Python unit tests are located alongside the code (e.g., *_test.py). Run them using npm test.

Common Tasks

  • Adding a Route: Define the route in @main.py and map it to a handler class in api/ or pages/.
  • Modifying Schema: Update @internals/models.py and run a backfill script if necessary.
Install via CLI
npx skills add https://github.com/GoogleChrome/chromium-dashboard --skill chromestatus-backend
Repository Details
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