Deploy error

Open YamonBot opened this issue 1 year ago • 1 comments

When I run Docker Compose in the deploy folder, the Celery worker fails to start and displays the following error. Even after adding eventlet to the pyproject.toml in the src/backend/base folder and updating, the issue persists.

I tested v1.0.0b8 and dev branch

Traceback (most recent call last):
  File "/opt/pysetup/.venv/bin/celery", line 8, in <module>
    sys.exit(main())
  File "/opt/pysetup/.venv/lib/python3.10/site-packages/celery/__main__.py", line 13, in main
    maybe_patch_concurrency()
  File "/opt/pysetup/.venv/lib/python3.10/site-packages/celery/__init__.py", line 140, in maybe_patch_concurrency
    patcher()
  File "/opt/pysetup/.venv/lib/python3.10/site-packages/celery/__init__.py", line 101, in _patch_eventlet
    import eventlet.debug
ModuleNotFoundError: No module named 'eventlet'

Apr 05 '24 05:04 YamonBot

Hey there, @yamonkjd! Long time no see. Hope you've been coding away without too much trouble—until now, that is. Let's crack this one together.

Based on the error message you provided, it seems like the eventlet module is not being found when the Celery worker is trying to start. This could be due to a few reasons, and I'll provide some steps to troubleshoot this issue:

Correct Location of pyproject.toml: Ensure that the pyproject.toml file is in the correct location expected by the Dockerfile. The Dockerfile expects the pyproject.toml file to be in the same directory where the Docker build context is set. If your pyproject.toml is inside src/backend/base, but you're running the Docker build command from a directory that does not include this path in the context, the build process won't include or recognize your pyproject.toml file. Ensure that the Docker build context is correctly set to include the pyproject.toml from src/backend/base or move the pyproject.toml to the correct location as per your Docker build context.
Ensure eventlet is in pyproject.toml: Double-check that eventlet is correctly listed under the dependencies in your pyproject.toml file. It should look something like this:
```
[tool.poetry.dependencies]
python = "^3.10"
eventlet = "*"
```
Docker Build Context: When building your Docker image, ensure that the build context is correctly set to include the pyproject.toml and poetry.lock files. If you're running the Docker build command from a directory that does not correctly include these files, the build won't be able to install the dependencies correctly. The build command should be something like:
```
docker build -f dev.Dockerfile . -t your_image_name
```
Ensure this command is run from the root directory that contains your pyproject.toml or adjust the path accordingly.
Clear Docker Cache: Sometimes, Docker might use cached layers from previous builds that did not include eventlet. To ensure Docker rebuilds the layers that install Python dependencies, you can rebuild your Docker image with the --no-cache option:
```
docker build --no-cache -f dev.Dockerfile . -t your_image_name
```
Check for Docker Compose Volume Overrides: If you're using Docker Compose, ensure that volumes defined in docker-compose.yml do not override the /app directory in a way that would exclude the installed eventlet package. If there are volume mounts that map local directories to /app, it could be that changes made during the Docker build (like installing dependencies) are being overridden by your local filesystem when the container starts.

By following these steps, you should be able to resolve the ModuleNotFoundError for 'eventlet' and ensure your Celery worker starts as expected when deploying with Docker Compose.

For more information, you can refer to the dev.Dockerfile and render.yaml files in the langflow repository. The Celery implementation can be found in the src/backend/langflow/core/celery_app.py file.

Sources

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Apr 05 '24 05:04 dosubot[bot]