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Enhance documentation and examples for FastAPI Pub/Sub integration with PGMQ#43

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jason810496 merged 1 commit intomainfrom
docs/enhance-doc-for-0-2-0
Jan 7, 2026
Merged

Enhance documentation and examples for FastAPI Pub/Sub integration with PGMQ#43
jason810496 merged 1 commit intomainfrom
docs/enhance-doc-for-0-2-0

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  • Added a new FastAPI Pub/Sub example documentation.
  • Updated README to include links to transaction usage and FastAPI example.
  • Improved getting started guide with FastAPI Pub/Sub reference.
  • Refactored example scripts to use configurable API port.
  • Enhanced integration tests for FastAPI example.

…th PGMQ

- Added a new FastAPI Pub/Sub example documentation.
- Updated README to include links to transaction usage and FastAPI example.
- Improved getting started guide with FastAPI Pub/Sub reference.
- Refactored example scripts to use configurable API port.
- Enhanced integration tests for FastAPI example.
@jason810496 jason810496 merged commit 6d76c73 into main Jan 7, 2026
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Summary of Changes

Hello @jason810496, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the project's documentation and examples by introducing a new, real-world FastAPI Pub/Sub integration example with PGMQ. This example showcases how to effectively use pgmq-sqlalchemy for transactional message publishing and asynchronous consumption within a FastAPI application. The changes also include updates to the main README and getting started guide to highlight this new example and its robust testing, making it easier for users to understand and implement similar patterns.

Highlights

  • New FastAPI Pub/Sub Example: A comprehensive example demonstrating FastAPI integration with PGMQ for an order management system, including both API and consumer components, has been added.
  • Documentation Enhancements: New documentation for the FastAPI example has been added, and existing README and getting started guides have been updated to reference it, improving discoverability and clarity.
  • Configurable API Port: Example scripts have been refactored to allow the FastAPI application's port to be configured via an environment variable, enhancing flexibility.
  • Improved Integration Testing: The integration tests for the FastAPI example have been enhanced, providing a robust and automated way to run and verify the entire system end-to-end.

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Code Review

This pull request significantly enhances the documentation and examples for using pgmq-sqlalchemy with FastAPI. The new documentation provides a comprehensive real-world example, complete with setup instructions, architecture overview, and integration tests. The example code has also been refactored for better configurability. My review focuses on improving the clarity and correctness of the new documentation. I've pointed out a couple of minor issues in the documentation files that could affect user experience, such as a typo in a command and inconsistent indentation.


- Uses sync database driver (psycopg2)
- Uses ``PGMQOperation`` (imported as ``op``) for publishing messages
- Provides REST endpoints for creating and retrieving orders
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medium

This line uses a tab character for indentation, while the surrounding lines use spaces. In reStructuredText, mixing tabs and spaces can lead to inconsistent rendering or errors. Please replace the tab with spaces to ensure consistent formatting.

Suggested change
- Provides REST endpoints for creating and retrieving orders
- Provides REST endpoints for creating and retrieving orders

Install dependencies from the project root with ``uv``::

cd /path/to/pgmq-sqlalchemy
uv ync --group dev
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medium

There's a typo in the uv command. It should be uv sync instead of uv ync.

Suggested change
uv ync --group dev
uv sync --group dev

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codecov Bot commented Jan 7, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

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