CODEWITHSUNDEEP
google-cloud-platformdockerfileminiconda
Curious G.
Curious G.

Reputation: 877

"Deploy to cloud run" to existing miniconda enviroment using dockerfile

I created a sever on google cloud and created a miniconda environment to test my API and worked. But to do the "Deploy to cloud run" did not. There is a way to do the deploy by dockerfile on an existing conda environment on google cloud? If yes, please, where I find a tutorial or an example?

Or will be something like this:

FROM python:3.8


USER myuser #an existing user
WORKDIR /home/myuser

RUN conda activate venv # an existing miniconda environment

ENV PATH="/home/myuser/.local/bin:${PATH}"

COPY --chown=myuser:myuser . .

CMD ["python", "main.py"]

Upvotes: 0

Views: 286

Answers (1)

Martin Zeitler
Martin Zeitler

Reputation: 76809

There might be an existing environment in some VM, but not in this container. And a Dockerfile might not be enough, but this may require a cloudbuild.yaml, where the image needs Python 3.8 and miniconda installed. In case the default Python 3.8 image does not provide miniconda, you'll have to build a custom image first - which then can be used. I mean, one can use the Dockerfile to build the custom Docker image and cloudbuild.yaml to cloud build/run it. In order to run commands post-deploy (as it may be required), the container needs to know about them.

Besides, setting up a per-user environment inside a container is generally strange,
because system services usually do not care much about a per-user environment.

Upvotes: 1

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