CODEWITHSUNDEEP
pythondockervisual-studio-code
Hou ZeYu
Hou ZeYu

Reputation: 421

Select interpreter of docker container in the vscode

In vscode, we can install the python extension, then select the interpreter which we want, like python in the conda environment.

So we can use "shift" + "enter" key for running the code line by line in the terminal. For managing different virtual environment, using docker container is a better way.

If I already install the docker, and pull the python image. How to select the interpreter which is created in the docker container? Not just remote to the docker container.

Upvotes: 24

Views: 35595

Answers (5)

Aliaksandr Adzinets
Aliaksandr Adzinets

Reputation: 704

Tested on VSCode 1.61:

  1. Install the Remote-Containers extension
  2. Build/start the Docker container
  3. Open the Command Palette and type Remote-Containers: Attach to Running Container..., then select the running Docker container
  4. VSCode will restart and reload
  5. On the Get Started page, click the Open... and enter the path to the Docker volume mounted to your source code. It must be set to the same path as WORKDIR in your Dockerfile-local, e.g. to /app.
  6. Install the Python extension on the container
  7. Open the Command Palette and type Python: Select Interpreter, then select the Docker interpreter
  8. Open the Command Palette and type Python: Configure Tests, then select the framework you use

Source: https://dev.to/alvarocavalcanti/setting-up-a-python-remote-interpreter-using-docker-1i24

UPD #1. Remote development extensions seem to be one of the main focuses in VSCode development currently, e.g. the newer versions have got the Remote explorer Activity tab enabled by default, which allows much more intuitive approach to connecting to Docker containers. Check release notes here: https://github.com/microsoft/vscode-docs/tree/main/remote-release-notes

UPD #2. Nowadays you should use Dev Containers instead of Remote Containers

See the docs: https://code.visualstudio.com/docs/devcontainers/containers

  1. Create .devcontainer/devcontainer.json
{
    "name": "My Devcontainer",
    "dockerComposeFile": "docker-compose.yml",
    "service": "app",
    "workspaceFolder": "/workspaces/${localWorkspaceFolderBasename}",
    "customizations": {
        ...

Docs: https://containers.dev/implementors/json_reference/

  1. Add your Dockerfile, docker-compose.yml, .env to .devcontainers
...
services:
  app:
    build:
      context: ..
      dockerfile: .devcontainer/Dockerfile

    volumes:
      - ../..:/workspaces:cached

    env_file: .env
...
  1. Use Dev containers: Open folder in container and Dev containers: Rebuild container prompts to proceed

Upvotes: 39

codeananda
codeananda

Reputation: 1310

Make sure all the extensions you want/need are installed in the container. Click Extensions on the left hand side to see which are installed locally and which are installed within the container.

Install everything within the container that you typically use locally (particularly Python and Pylance). You'll see a 'Install in Dev Container' button. Install everything you need, then restart VS Code and you should be good to go.

Example showing the install in Dev Container button

Example showing the install in Dev Container button

Upvotes: 0

CyberPlayerOne
CyberPlayerOne

Reputation: 3180

If your objective is to have vscode to work on a local project and run it with a docker-based interpreter, the solution is: mounting the local project directory to the docker container that contains the interpreter, then in vscode open the project directory (mounted) from the container.

How to mount your project directory:

docker run -v /user/localproject:/root/mountedproject

https://docs.docker.com/storage/volumes/

I have tested it. It should work.

Upvotes: 0

Steven-MSFT
Steven-MSFT

Reputation: 8421

I think it's impossible, I am afraid you must remote to the docker container.

I really can't imagine out you taking a python interpreter in Linux to work on windows directly.

Upvotes: 0

Noam Yizraeli
Noam Yizraeli

Reputation: 5404

inside your devcontainer.json file that vscode created you have the image key and its value is the route to the image, if you want to use to change the python version you can do so there or using the quick instructions in vscode docs here

Upvotes: 0

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