langchain/.github/workflows/_lint.yml

name: lint

on:
  workflow_call:
    inputs:
      working-directory:
        required: true
        type: string
        description: "From which folder this pipeline executes"
      langchain-location:
        required: false
        type: string
        description: "Relative path to the langchain library folder"

env:
  POETRY_VERSION: "1.6.1"
  WORKDIR: ${{ inputs.working-directory == '' && '.' || inputs.working-directory }}

  # This env var allows us to get inline annotations when ruff has complaints.
  RUFF_OUTPUT_FORMAT: github

jobs:
  build:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        # Only lint on the min and max supported Python versions.
        # It's extremely unlikely that there's a lint issue on any version in between
        # that doesn't show up on the min or max versions.
        #
        # GitHub rate-limits how many jobs can be running at any one time.
        # Starting new jobs is also relatively slow,
        # so linting on fewer versions makes CI faster.
        python-version:
          - "3.8"
          - "3.11"
    steps:
      - uses: actions/checkout@v4

      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
        uses: "./.github/actions/poetry_setup"
        with:
          python-version: ${{ matrix.python-version }}
          poetry-version: ${{ env.POETRY_VERSION }}
          working-directory: ${{ inputs.working-directory }}
          cache-key: lint-with-extras

      - name: Check Poetry File
        shell: bash
        working-directory: ${{ inputs.working-directory }}
        run: |
          poetry check

      - name: Check lock file
        shell: bash
        working-directory: ${{ inputs.working-directory }}
        run: |
          poetry lock --check

      - name: Install dependencies
        # Also installs dev/lint/test/typing dependencies, to ensure we have
        # type hints for as many of our libraries as possible.
        # This helps catch errors that require dependencies to be spotted, for example:
        # https://github.com/langchain-ai/langchain/pull/10249/files#diff-935185cd488d015f026dcd9e19616ff62863e8cde8c0bee70318d3ccbca98341
        #
        # If you change this configuration, make sure to change the `cache-key`
        # in the `poetry_setup` action above to stop using the old cache.
        # It doesn't matter how you change it, any change will cause a cache-bust.
        working-directory: ${{ inputs.working-directory }}
        run: |
          poetry install --with lint,typing

      - name: Install langchain editable
        working-directory: ${{ inputs.working-directory }}
        if: ${{ inputs.langchain-location }}
        env:
          LANGCHAIN_LOCATION: ${{ inputs.langchain-location }}
        run: |
          poetry run pip install -e "$LANGCHAIN_LOCATION"

      - name: Get .mypy_cache to speed up mypy
        uses: actions/cache@v3
        env:
          SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
        with:
          path: |
            ${{ env.WORKDIR }}/.mypy_cache
          key: mypy-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', env.WORKDIR)) }}

      - name: Analysing the code with our lint
        working-directory: ${{ inputs.working-directory }}
        run: |
          make lint