Hello,
I have created an image and deployed it on Artefact Registry. I've already used this image with Argo Workflow and it works very well. To launch this image I run the command "poetry run process dev ing001".
I then tried to launch this image via Cloud Run.
However, I get the following error:
"Revision ' ' is not ready and cannot serve traffic. The user-provided container failed to start and listen on the port defined provided by the PORT=8080 environment variable."
This is my Dockerfile :
FROM python:3.10-bullseye
WORKDIR /opt
RUN apt-get update && apt-get install -y curl && \
apt-get clean && rm -rf /var/lib/apt/lists/*
ENV POETRY_VERSION=1.8.3
RUN curl -sSL https://install.python-poetry.org | python3 - --version $POETRY_VERSION
ENV PATH="/root/.local/bin:$PATH"
COPY poetry.lock pyproject.toml /opt/
RUN poetry install --no-root --no-interaction
WORKDIR /opt
COPY src src
RUN poetry install --no-interaction
RUN poetry run pylint **/*.py
EXPOSE 8080
CMD ["poetry", "run", "process", "dev", "ing001"]
My application is a python application that uses click and poetry. The application's input is the :
import click
from source.processing.principal_processor import PrincipalProcessor
@click.command()
@click.argument("env")
@click.argument("source_name")
def cli(env, source_name):
PrincipalProcessor(env, source_name).process()
Furthermore, the purpose of my application is to move csv data from a bucket to bigquery using pandas and pandas_gbq.
And despite this error, the data is still transferred to bigquery.
I try to follow this link https://cloud.google.com/run/docs/troubleshooting but problem still progress
Can you help me please ?
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