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langchain/.github/workflows/_lint.yml

121 lines
4.6 KiB
YAML

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_package
- name: Install 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.
working-directory: ${{ inputs.working-directory }}
run: |
poetry install --with test
- name: Get .mypy_cache to speed up mypy
uses: actions/cache@v3
env:
SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
with:
path: |
${{ env.WORKDIR }}/.mypy_cache
key: mypy-test-${{ 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_tests