ancient-wolf-19325
07/24/2024, 10:53 AMpyflyte register -p ${FLYTE_PROJECT} -d ${FLYTE_DOMAIN} ${PIPELINE_PATH} --version ${PIPELINE_VERSION} --image "${IMAGE_NAME}:${PIPELINE_VERSION}" command.
Here’s the Dockerfile
FROM python:3.11-slim
WORKDIR /usr/app
RUN apt-get update && apt-get install -y --no-install-recommends \
curl gnupg build-essential cmake libssl-dev
RUN curl -sSL <https://install.python-poetry.org> | POETRY_VERSION=1.7.0 POETRY_HOME=$HOME/.poetry python \
&& ln -s $HOME/.poetry/bin/poetry /usr/bin/poetry \
# install dependencies on the python interpreter and not in the poetry virtualenv
&& poetry config virtualenvs.create false
COPY poetry.lock .
COPY pyproject.toml .
RUN poetry install --only main --no-interaction
When the workflow is run I get a ModuleNotFoundError: No module named 'example' .
This is my folder structure
│ └── src
│ ├── README.md
│ └── example
│ ├── README.md
│ ├── __init__.py
│ ├── info.json
│ ├── main.py
│ ├── poetry.lock
│ └── pyproject.toml
Pyflyte command is run from the pipelines's parent directory, with pip all works good.
Thank you
# Answer
To manage dependencies via Poetry and build a Docker image containing all the dependencies installed globally, you can follow these steps. The ModuleNotFoundError issue is likely due to the module not being included in the Docker image or not being in the Python path. Here’s how you can address this:
1. Ensure the module is copied into the Docker image: Modify your Dockerfile to copy the source code into the Docker image.
2. Set the Python path: Ensure the Python path includes the directory where your module is located.
Here’s an updated version of your Dockerfile:
FROM python:3.11-slim
WORKDIR /usr/app
RUN apt-get update && apt-get install -y --no-install-recommends \
curl gnupg build-essential cmake libssl-dev
RUN curl -sSL https://install.python-poetry.org | POETRY_VERSION=1.7.0 POETRY_HOME=$HOME/.poetry python \
&& ln -s $HOME/.poetry/bin/poetry /usr/bin/poetry \
&& poetry config virtualenvs.create false
COPY poetry.lock pyproject.toml ./
RUN poetry install --only main --no-interaction
# Copy the source code into the Docker image
COPY src /usr/app/src
# Set the PYTHONPATH to include the src directory
ENV PYTHONPATH=/usr/app/src
# Set the entrypoint to bash for debugging purposes
ENTRYPOINT ["/bin/bash"]
Folder Structure
Ensure your folder structure is as follows:
pipelines
│ └── src
│ ├── README.md
│ └── exampleancient-wolf-19325
07/24/2024, 10:53 AM>>```│ ├── README.md │ ├── init.py │ ├── info.json │ ├── main.py │ ├── poetry.lock │ └── pyproject.toml
*Registering the Pipeline*
Use the `pyflyte register` command to register the pipeline with the custom image:
pyflyte register -p ${FLYTE_PROJECT} -d ${FLYTE_DOMAIN} ${PIPELINE_PATH} --version ${PIPELINE_VERSION} --image "${IMAGE_NAME}:${PIPELINE_VERSION}"
```
Additional Tips
- Ensure that the example module is correctly referenced in your workflow.
- Verify that the Docker image is correctly built and pushed to the registry.
- Check the Python path inside the Docker container to ensure it includes the directory where your module is located.
Would you like more detailed steps or further assistance with any specific part of this process?
Sources:
- https://github.com/flyteorg/flyte/issues/4853
- https://discuss.flyte.org/t/16109366/hello-i-tested-the-flyte-sandbox-on-my-m1-mac-yesterday-the-/
Note: I wasn’t able to find highly relevant data sources, but above are a few potentially relevant links.
Slack Link
https://flyte-org.slack.com/archives/CP2HDHKE1/p1721818376.177969 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.