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# Repository Guidelines
This file is the shared source of repository guidance for coding agents. Tool-specific instruction files should import it instead of repeating repository-wide rules.
## Dos and Don’ts
- **Do** match the interpreter requirement declared in `pyproject.toml` (Python ≥ 3.12) and install dependencies with `uv sync` (runtime + dev, from `uv.lock`) before running tools.
- **Do** run tests with `PYTHONPATH=.` set to keep imports functional (for example `PYTHONPATH=. uv run pytest tests/unittest/test_fix_json_escape_char.py -q`).
- **Do** adjust configuration through `.pr_agent.toml` or files under `pr_agent/settings/` instead of hard-coding values.
- **Don’t** commit secrets or access tokens; rely on environment variables as shown in the health and e2e tests.
- **Don’t** reformat or reorder files globally; match existing 120-character lines, import ordering, and docstring style.
- **Don’t** delete or rename configuration, prompt, or workflow files without maintainer approval.
## Project Structure and Module Organization
PR-Agent automates AI-assisted reviews for pull requests across multiple git providers.
- `pr_agent/agent/` orchestrates commands (`review`, `describe`, `improve`, etc.) via `pr_agent/agent/pr_agent.py`.
- `pr_agent/tools/` implements individual capabilities such as reviewers, code suggestions, docs updates, and label generation.
- `pr_agent/algo/` contains shared algorithms, model handlers, prompt/token handling, types, and utilities.
- `pr_agent/git_providers/` handles integrations with GitHub, GitLab, Bitbucket (cloud and server), Azure DevOps, Gitea, Gerrit, CodeCommit, local checkouts, and plain diffs; `pr_agent/identity_providers/` handles identity and `pr_agent/secret_providers/` handles secrets.
- `pr_agent/settings/` stores Dynaconf defaults (prompts, configuration templates, ignore lists) respected at runtime; `.pr_agent.toml` overrides repository-level behavior.
- `pr_agent/servers/` contains webhook and service entrypoints.
- `tests/unittest/`, `tests/e2e_tests/`, and `tests/health_test/` contain pytest-based unit, end-to-end, and smoke checks.
- `docs/` holds the MkDocs site (`docs/mkdocs.yml` plus content under `docs/docs/`); overrides live in `docs/overrides/`.
- `.github/workflows/` defines CI pipelines for unit tests, coverage, docs deployment, pre-commit, and PR-agent self-review.
- `docker/` and the root Dockerfiles provide build targets for services (`github_app`, `gitlab_webhook`, etc.) and the `test` stage used in CI.
## Architecture and Request Flow
PR-Agent is a CLI/server that runs AI-powered tools (`/review`, `/describe`, `/improve`, `/ask`, etc.) against pull requests on supported git providers or local input. The main dispatch flow is `pr_agent/agent/pr_agent.py` → `command2class` → a tool class under `pr_agent/tools/`.
A tool generally obtains the appropriate git provider, gathers pull-request context, prepares prompt variables and templates, calls the configured model handler, and publishes or stores the result through the provider.
### Prompt Building
Prompt-driven tools generally construct a `self.vars` dictionary and pass it with the system/user prompt strings to `TokenHandler`. Prompt rendering uses Jinja2 with `StrictUndefined`, so variables referenced by a template should be present in the corresponding vars dictionary; define optional values explicitly and guard optional sections with Jinja conditionals.
System/user prompt strings live as TOML files under `pr_agent/settings/` and are loaded into `global_settings` by `pr_agent/config_loader.py`. Tool and prompt names normally correspond, for example:
- `pr_reviewer.py` ↔ `pr_reviewer_prompts.toml`
- `pr_description.py` ↔ `pr_description_prompts.toml`
- `pr_code_suggestions.py` ↔ `code_suggestions/pr_code_suggestions_prompts.toml` (plus its related variants)
New prompt files must also be registered in the `settings_files=[...]` list in `pr_agent/config_loader.py` or they will not be loaded into `global_settings`.
### Settings and Runtime Configuration
Use `get_settings()` from `pr_agent/config_loader.py` as the shared settings accessor. It returns the request-scoped Dynaconf object from `starlette_context` when one is present, otherwise the module-level `global_settings` object.
Defaults live in `pr_agent/settings/configuration.toml`. Per-repository overrides come from the repository's `.pr_agent.toml` and are applied by `pr_agent/git_providers/utils.py::apply_repo_settings` before command dispatch. When introducing a configuration section, add its defaults and comments to `configuration.toml` and keep related prompt/config changes synchronized.
Sensitive values should stay in environment variables or the gitignored `.secrets.toml` files under `pr_agent/settings/` and `pr_agent/settings_prod/`. `apply_secrets_manager_config()` optionally loads values from AWS Secrets Manager.
### Git Providers
`pr_agent/git_providers/` contains provider implementations that share the `GitProvider` interface in `pr_agent/git_providers/git_provider.py`. Provider-dependent behavior should be selected through capability checks such as `provider.is_supported("feature")` rather than concrete provider-type checks, because individual providers can stub or override capabilities. Some output is gated this way too: semantic file types and several other `/describe` sections are only emitted where `gfm_markdown` is supported.
### Servers and Entrypoints
`pr_agent/servers/` hosts webhook and service entrypoints that translate provider events into `PRAgent.handle_request(...)` calls. The CLI entrypoint is `pr_agent/cli.py`, registered as the `pr-agent` console script.
## Build, Test, and Development Commands
- Install dependencies (runtime + dev) into a project virtualenv from the lockfile with `uv sync`; `uv run` auto-syncs before each command.
- Run a single unit test (verified): `PYTHONPATH=. uv run pytest tests/unittest/test_fix_json_escape_char.py -q`.
- Run the full unit suite: `PYTHONPATH=. uv run pytest tests/unittest -v`.
- Execute the CLI locally once dependencies and API keys are available: `uv run pr-agent --pr_url <https://host/org/repo/pull/123> review`.
- Build the test Docker target mirror of CI when containerizing: `docker build -f docker/Dockerfile --target test .` (loads dev dependencies and copies `tests/`).
- Generate and deploy documentation with MkDocs after installing the same extras as CI (`mkdocs-material`, `mkdocs-glightbox`): `mkdocs serve -f docs/mkdocs.yml` for previews and `mkdocs gh-deploy -f docs/mkdocs.yml` for publication.
## Coding Style and Existing Tooling
Ruff is the single linting tool: `pyproject.toml` configures it and the pre-commit Ruff hook enforces it (Flake8 and the standalone isort hook have been removed).
- Keep Python lines within the 120-character limit declared in `pyproject.toml`.
- `pyproject.toml` configures Ruff rules `E`, `F`, `B`, `I001`, and `I002`; `I001` (import sorting), `F401` (unused imports), and `F541` (f-strings without placeholders) are fixable. The `lint.ignore` list defers pre-existing violations — treat it as a debt ledger: fix the code and drop entries rather than adding new ones.
- Before committing, run `uv run ruff check --fix` on the files you touched and fix every issue it reports. Keep fixes mechanical (rename, remove unused imports, sort imports); do not alter program logic while cleaning up — if a lint fix would change behavior, surface it instead of applying it silently.
- `.pre-commit-config.yaml` runs the Ruff hook plus trailing-whitespace, final-newline, TOML, YAML, and large-file checks; when pre-commit is available, run it on the files you touched (`pre-commit run --files <paths>`) and review the automatic edits so unrelated changes are not included. The pre-commit GitHub Actions workflow is manual-only (`workflow_dispatch`); the hooks are not enforced in CI.
- No general-purpose Python formatter is currently enforced (`ruff format` is deliberately not adopted yet). Preserve the surrounding file's formatting and avoid unrelated rewrites or repository-wide formatting.
- Prefer double quotes for Python strings where consistent with the surrounding file.
- Match existing docstring and comment style—concise English comments using imperative phrasing only where necessary.
- Configuration files in `pr_agent/settings/` are TOML; preserve formatting, section order, and comments when editing prompts or defaults.
- Markdown in `docs/` uses MkDocs conventions (YAML front matter absent; rely on heading hierarchy already in place).
## Testing Guidelines
- Pytest is the standard framework; keep new tests under the closest matching directory (`tests/unittest/` for unit logic, `tests/e2e_tests/` for integration flows, `tests/health_test/` for smoke coverage).
- Pytest configuration lives in `pyproject.toml`, including `asyncio_mode = "auto"` and `testpaths = ["tests"]`. The Docker test image keeps `pyproject.toml` at `/app` (uv installs from it), so CI inherits these settings as well.
- Prefer focused unit tests that isolate helpers in `pr_agent/algo/`, `pr_agent/tools/`, or provider adapters; use parameterized tests where existing files already do so.
- Set `PYTHONPATH=.` when invoking pytest from the repository root to avoid import errors.
- End-to-end suites require provider tokens (`TOKEN_GITHUB`, `TOKEN_GITLAB`, `BITBUCKET_USERNAME`, `BITBUCKET_PASSWORD`) and may take several minutes; run them only when credentials and sandboxes are configured.
- The health test (`tests/health_test/main.py`) exercises `/describe`, `/review`, and `/improve`; update expected artifacts if prompts change meaningfully.
## Commit and Pull Request Guidelines
- Follow `CONTRIBUTING.md`: keep changes focused, add or update tests, and use Conventional Commit-style messages (e.g., `fix: handle missing repo settings gracefully`).
- Target branch names follow `feature/<name>` or `fix/<issue>` patterns for substantial work.
- Reference related issues and update README or docs when user-facing behavior shifts.
- Ensure CI workflows (`build-and-test`, `code-coverage`, `docs-ci`) succeed locally or in draft PRs before requesting review; reproduce failures with the documented commands above.
- Include screenshots or terminal captures when modifying user-visible output or documentation previews.
## Safety and Permissions
- Ask for confirmation before adding dependencies, renaming files, or changing workflow definitions; many consumers embed these paths and prompts.
- Stay within existing formatting and directory conventions—avoid mass refactors, re-sorting of prompts, or reformatting Markdown beyond the touched sections.
- You may read files, list directories, and run targeted lint/test/doc commands without prior approval; coordinate before launching full Docker builds or e2e suites that rely on external credentials.
- Never commit cached credentials, API keys, or coverage artifacts; CI already handles secrets through GitHub Actions.
- Treat prompt and configuration files as single sources of truth—update mirrors (`.pr_agent.toml`, `pr_agent/settings/*.toml`) together when behavior changes.
## Security and Configuration Tips
- Secrets should be supplied through environment variables (see usages in `tests/e2e_tests/test_github_app.py` and `tests/health_test/main.py`); do not persist them in code or configuration files.
- Adjust runtime behavior by overriding keys in `.pr_agent.toml` or by supplying repository-specific Dynaconf files; keep overrides minimal and documented inside the PR description.
- Review `SECURITY.md` before disclosing vulnerabilities and follow its contact instructions for responsible reporting.