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DEVELOPER.md

Versioning

This library follows Semantic Versioning.

Processes

Conventional Commit messages

This repository uses tool Release Please to create GitHub and PyPi releases. It does so by parsing your git history, looking for Conventional Commit messages, and creating release PRs.

Learn more by reading How should I write my commits?

Testing

Run tests locally

  1. Set environment variables for INSTANCE_ID, DB_NAME, TABLE_NAME, REGION, DB_USER, DB_PASSWORD

  2. Run pytest to automatically run all tests:

    pytest

CI Platform Setup

Cloud Build is used to run tests against Google Cloud resources in test project: langchain-cloud-sql-testing. Each test has a corresponding Cloud Build trigger, see all triggers. These tests are registered as required tests in .github/sync-repo-settings.yaml.

Trigger Setup

Cloud Build triggers (for Python versions 3.9 to 3.11) were created with the following specs:

name: mysql-integration-test-pr-py39
description: Run integration tests on PR for Python 3.9
filename: integration.cloudbuild.yaml
github:
  name: langchain-google-cloud-sql-mysql-python
  owner: googleapis
  pullRequest:
    branch: .*
    commentControl: COMMENTS_ENABLED_FOR_EXTERNAL_CONTRIBUTORS_ONLY
ignoredFiles:
  - docs/**
  - .kokoro/**
  - .github/**
  - "*.md"
substitutions:
  _INSTANCE_ID: <ADD_VALUE>
  _DB_NAME: <ADD_VALUE>
  _REGION: us-central1
  _VERSION: "3.9"

Use gcloud builds triggers import --source=trigger.yaml to create triggers via the command line

Project Setup

  1. Create an Cloud SQL for PostgreSQL instance and database
  2. Setup Cloud Build triggers (above)

Run tests with Cloud Build

  • Run integration test:

    gcloud builds submit --config integration.cloudbuild.yaml --region us-central1 --substitutions=_INSTANCE_ID=$INSTANCE_ID,_DB_NAME=$DB_NAME,_REGION=$REGION

Trigger

To run Cloud Build tests on GitHub from external contributors, ie RenovateBot, comment: /gcbrun.

Code Coverage

Please make sure your code is fully tested. The Cloud Build integration tests are run with the pytest-cov code coverage plugin. They fail for PRs with a code coverage less than the threshold specified in .coveragerc. If your file is inside the main module and should be ignored by code coverage check, add it to the omit section of .coveragerc.

Check for code coverage report in any Cloud Build integration test log. Here is a breakdown of the report:

  • Stmts: lines of executable code (statements).
  • Miss: number of lines not covered by tests.
  • Branch: branches of executable code (e.g an if-else clause may count as 1 statement but 2 branches; test for both conditions to have both branches covered).
  • BrPart: number of branches not covered by tests.
  • Cover: average coverage of files.
  • Missing: lines that are not covered by tests.