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langchain/.github/workflows/_lint.yml

109 lines
4.2 KiB
YAML

name: lint
on:
workflow_call:
inputs:
working-directory:
required: true
type: string
description: "From which folder this pipeline executes"
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: 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