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" python-version: required: true type: string description: "Python version to use" env: POETRY_VERSION: "1.7.1" WORKDIR: ${{ inputs.working-directory == '' && '.' || inputs.working-directory }} # This env var allows us to get inline annotations when ruff has complaints. RUFF_OUTPUT_FORMAT: github jobs: build: name: "make lint #${{ inputs.python-version }}" runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Set up Python ${{ inputs.python-version }} + Poetry ${{ env.POETRY_VERSION }} uses: "./.github/actions/poetry_setup" with: python-version: ${{ inputs.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@v4 env: SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2" with: path: | ${{ env.WORKDIR }}/.mypy_cache key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ inputs.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', inputs.working-directory)) }} - name: Analysing the code with our lint working-directory: ${{ inputs.working-directory }} run: | make lint_package - name: Install unit test 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. if: ${{ ! startsWith(inputs.working-directory, 'libs/partners/') }} working-directory: ${{ inputs.working-directory }} run: | poetry install --with test - name: Install unit+integration test dependencies if: ${{ startsWith(inputs.working-directory, 'libs/partners/') }} working-directory: ${{ inputs.working-directory }} run: | poetry install --with test,test_integration - name: Get .mypy_cache_test to speed up mypy uses: actions/cache@v4 env: SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2" with: path: | ${{ env.WORKDIR }}/.mypy_cache_test key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ inputs.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', inputs.working-directory)) }} - name: Analysing the code with our lint working-directory: ${{ inputs.working-directory }} run: | make lint_tests