mirror of
https://github.com/hwchase17/langchain
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122 lines
4.6 KiB
YAML
122 lines
4.6 KiB
YAML
name: lint
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on:
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workflow_call:
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inputs:
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working-directory:
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required: true
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type: string
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description: "From which folder this pipeline executes"
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langchain-location:
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required: false
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type: string
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description: "Relative path to the langchain library folder"
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env:
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POETRY_VERSION: "1.7.1"
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WORKDIR: ${{ inputs.working-directory == '' && '.' || inputs.working-directory }}
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# This env var allows us to get inline annotations when ruff has complaints.
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RUFF_OUTPUT_FORMAT: github
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jobs:
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build:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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# Only lint on the min and max supported Python versions.
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# It's extremely unlikely that there's a lint issue on any version in between
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# that doesn't show up on the min or max versions.
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#
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# GitHub rate-limits how many jobs can be running at any one time.
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# Starting new jobs is also relatively slow,
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# so linting on fewer versions makes CI faster.
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python-version:
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- "3.8"
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- "3.11"
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
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uses: "./.github/actions/poetry_setup"
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with:
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python-version: ${{ matrix.python-version }}
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poetry-version: ${{ env.POETRY_VERSION }}
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working-directory: ${{ inputs.working-directory }}
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cache-key: lint-with-extras
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- name: Check Poetry File
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shell: bash
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working-directory: ${{ inputs.working-directory }}
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run: |
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poetry check
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- name: Check lock file
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shell: bash
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working-directory: ${{ inputs.working-directory }}
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run: |
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poetry lock --check
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- name: Install dependencies
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# Also installs dev/lint/test/typing dependencies, to ensure we have
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# type hints for as many of our libraries as possible.
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# This helps catch errors that require dependencies to be spotted, for example:
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# https://github.com/langchain-ai/langchain/pull/10249/files#diff-935185cd488d015f026dcd9e19616ff62863e8cde8c0bee70318d3ccbca98341
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#
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# If you change this configuration, make sure to change the `cache-key`
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# in the `poetry_setup` action above to stop using the old cache.
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# It doesn't matter how you change it, any change will cause a cache-bust.
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working-directory: ${{ inputs.working-directory }}
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run: |
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poetry install --with lint,typing
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- name: Install langchain editable
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working-directory: ${{ inputs.working-directory }}
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if: ${{ inputs.langchain-location }}
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env:
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LANGCHAIN_LOCATION: ${{ inputs.langchain-location }}
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run: |
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poetry run pip install -e "$LANGCHAIN_LOCATION"
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- name: Get .mypy_cache to speed up mypy
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uses: actions/cache@v3
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env:
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SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
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with:
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path: |
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${{ env.WORKDIR }}/.mypy_cache
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key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', env.WORKDIR)) }}
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- name: Analysing the code with our lint
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working-directory: ${{ inputs.working-directory }}
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run: |
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make lint_package
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- name: Install test dependencies
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# Also installs dev/lint/test/typing dependencies, to ensure we have
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# type hints for as many of our libraries as possible.
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# This helps catch errors that require dependencies to be spotted, for example:
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# https://github.com/langchain-ai/langchain/pull/10249/files#diff-935185cd488d015f026dcd9e19616ff62863e8cde8c0bee70318d3ccbca98341
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#
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# If you change this configuration, make sure to change the `cache-key`
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# in the `poetry_setup` action above to stop using the old cache.
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# It doesn't matter how you change it, any change will cause a cache-bust.
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working-directory: ${{ inputs.working-directory }}
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run: |
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poetry install --with test
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- name: Get .mypy_cache_test to speed up mypy
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uses: actions/cache@v3
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env:
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SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
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with:
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path: |
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${{ env.WORKDIR }}/.mypy_cache_test
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key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', env.WORKDIR)) }}
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- name: Analysing the code with our lint
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working-directory: ${{ inputs.working-directory }}
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run: |
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make lint_tests
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