Comments (1)
Hi @yuri-sergiichuk, thanks for the issue.
We added gunicorn as a dependency because:
- we want to ensure that users have a production-ready HTTP server available to them,
- that they're not unintentionally using the Flask development server in production,
- and that they don't need to install and configure additional libraries.
That said, it's still possible to use different WSGI servers or even fine tune gunicorn as before. This isn't currently documented, so I created #43 to address it.
In addition, the gunicorn dependency is a requirement for Google's internal use of this library, so we're unlikely to revert this change unless it's somehow actively preventing users from using the Functions Framework.
Given that, I'm going to close this issue, but I appreciate you participating in the discussion here and on other issues!
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Related Issues (20)
- Not able to run locally HOT 1
- Debug flag broken HOT 2
- Unit tests are failing
- Code behaves differently with debug flag HOT 2
- The framework default Gunicorn configs do not make sense for Gen2 environments HOT 5
- remove requirement for requirements.txt when specifying dependencies for deploying to functions: support poetry HOT 3
- Exception has occurred: SystemExit 3 HOT 6
- Symbolic linking within the Source Directory to include shared local directories.
- Firebase Functions Support HOT 1
- Possibility for multiple target/signature-type pairs?
- Gunicorn 21 is out HOT 3
- Flask Celery worker raise RuntimeError(unbound_message) from None RuntimeError: Working outside of request context. HOT 2
- Add Flask 3 support HOT 2
- README.md - Flask "Request" object hyperlink is broken HOT 2
- Native support for Pydantic models for function_framework.typed
- Document functions_framework.typed
- Support for postponed annnotations
- Improve developer experience for uncaught exceptions on GCP HOT 1
- PyPi development status alpha and other classifiers HOT 1
- functions-framework and tuning gunicorn HOT 1
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