CODEWITHSUNDEEP
pythondockerdebuggingpycharmpython-poetry
urig
urig

Reputation: 16841

PyCharm: How to install poetry dependencies before debugging a Python app in a container?

I have a Python application that I am developing in PyCharm Professional 2022.1.2 on Windows. I am using Poetry to manage my application and all package dependencies are listed in pyproject.toml.

I would like to debug my application in Linux in a Docker container.

I've successfully set up a Remote Docker Interpreter based on documentation from JetBrains but when I try to run my application with it, I get this error:

70a53fea2bae:python -u /opt/project/myapp/cli/main.py serve 
Traceback (most recent call last):
  File "/opt/project/myapp/cli/main.py", line 7, in <module>
    from myapp.dashboard import serve_dashboard
  File "/opt/project/myapp/__init__.py", line 1, in <module>
    from myapp.pipeline.api.data_reader import ExperimentReader
  File "/opt/project/myapp/pipeline/api/data_reader.py", line 7, in <module>
    from pandas import DataFrame
ModuleNotFoundError: No module named 'pandas'

Process finished with exit code 1

This makes me think that my application's package dependencies have not been installed inside the container.

How can I get PyCharm to install my dependencies (poetry install presumably?) before running my app?

Upvotes: 0

Views: 989

Answers (1)

Piotr Szyma
Piotr Szyma

Reputation: 199

The image you're using python:3.9.13-buster is delivered without your extra dependencies. It is like a raw python installation on your local machine.

If you want to enhance it with your custom dependencies, you need to create a Dockerfile which instructs docker to build a new image based on python:3.9.13-buster but with your extra dependencies (pandas) preinstalled.

I'd suggest starting with this tutorial to get familiar with how docker works and how to define custom images using Dockerfile and how to build & use them.

PS Here is some SO answer with example how such Dockerfile for image which installs dependencies defined using poetry's pyproject.toml may look like: https://stackoverflow.com/a/71786211/6082882 but again I'd suggest starting with learning docker fundamentals.

Upvotes: 1

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