services:internal_pipy_repo:internal_pypi_repo [DokuWiki]

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====== Install Python packages from our internal Pipy registry ======

To use the package from within another project, you need to install it from our internal registry. For this you need to obtain a personal access token in gitea, which you can find under Settings -> Applications, or directly via https://code.rekonas.com/user/settings/applications

===== Poetry =====
For adding the registry to your poetry, there are two option. We recommend to use the second one with with devcontainers.

=== With Poetry (local) ===

    poetry source add --priority=supplemental rekonas https://code.rekonas.com/api/packages/rekonas/pypi/simple
    poetry config http-basic.rekonas username personal_access_token
    poetry add --source rekonas <your_package>

With Poetry (devcontainer without compose file) [Recommended]

In a devcontainer, we need to make sure to pass the secrets for the private PyPy registry to the container environment.

Create two files containing only your Gitea username and personal-access token under ~/.config/.rekonas-code-user and ~/.config/.rekonas-code-pat

Mount the credentials files in your devcontainer.json and export them as environment variables in the container:

  {
  "mounts": [
      "source=${localEnv:HOME}/.config/.rekonas-code-user,target=/workspace/.rekonas-code-user,type=bind",
      "source=${localEnv:HOME}/.config/.rekonas-code-pat,target=/workspace/.rekonas-code-pat,type=bind"
  ],
  "postCreateCommand": "export REKONAS_CODE_USER=$(</workspace/.rekonas-code-user) && export REKONAS_CODE_PAT=$(</workspace/.rekonas-code-pat)"
  }

Add the repository as in the local option above and set the credentials with poetry config http-basic.rekonas $REKONAS_CODE_USER $REKONAS_CODE_PAT
    
    
==== UV ====
UV authenticates pipy packages authenticates to it from these env vars:

    export UV_INDEX_REKONAS_USERNAME=<username>
    export UV_INDEX_REKONAS_PASSWORD=<token>

When requesting an internal package (like 'rkns'), the uv runtime discovers it automatically.

  uv add 'ml-sleepyland-onnx[cli]' sleepyland-weights-usleep-2024-eeg   # one model
  uv add rkns

Or run it once, installing nothing, straight from the index:

  uv run --with rkns python