6c6bc6d90a
- Remove .deepsource.toml (redundant with Ruff + CodeQL) - Update docs/CIWorkflow.md to reflect current tool stack (Ruff instead of legacy tools) - Create comprehensive docs/CIToolsGuide.md documenting streamlined CI setup - Update README.md documentation index - Update TODO.md to reference Ruff instead of legacy tools - Document tool overlap analysis and de-duplication rationale Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
161 lines
6.1 KiB
Markdown
161 lines
6.1 KiB
Markdown
# CI Workflow Guide
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This document describes the CI/CD pipeline for DocuElevate, focusing on the **Run Tests & Linting** workflow.
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## Overview
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The CI workflow (`.github/workflows/tests.yaml`) runs automatically on every push and pull request. It is designed so that **each linter and the test suite run as independent jobs**, ensuring that a failure in one tool never blocks the results from another.
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## Workflow Jobs
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| Job | Tool | Purpose | Enforced |
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|--------|--------|---------------------------------------------|----------|
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| `test` | pytest | Unit/integration tests with coverage | ✅ |
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| `lint` | Ruff | Fast Python linter (replaces Flake8, Black, isort, Bandit) | ✅ |
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| `mypy` | mypy | Static type checking | ✅ |
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All three jobs start **in parallel** as soon as the workflow is triggered. No job depends on or waits for any other job.
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> **Note:** DocuElevate uses Ruff, a modern all-in-one Python linter that consolidates the functionality of Flake8, Black, isort, and Bandit. This streamlined approach reduces CI complexity while maintaining code quality and security standards.
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### Tests
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- Runs pytest with coverage reporting (XML + terminal).
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- Excludes E2E tests that require Docker-in-Docker (`-m "not e2e"`).
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- Uses Redis and RabbitMQ service containers.
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- Uploads coverage and JUnit XML results to Codecov.
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- Uploads `junit.xml` and `coverage.xml` as workflow artifacts (always, even on failure).
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### Ruff Lint & Format
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- **Linting**: Checks `app/` and `tests/` for code quality issues
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- Enforces PEP 8 style with `line-length=120`
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- Includes security checks (replaces Bandit)
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- Checks import order (replaces isort)
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- Catches common bugs (replaces Flake8 + Pylint patterns)
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- **Formatting**: Verifies code is formatted consistently (replaces Black)
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- Runs in check mode (no files are modified)
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- Automatically fixable with `ruff format`
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### Mypy
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- Type checks `app/` with appropriate configuration from `pyproject.toml`.
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- Requires full project dependencies (installs `requirements-dev.txt`).
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## Artifacts
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The following artifacts are uploaded after every run:
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| Artifact | Contents | Condition |
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|------------------|--------------------------------------|----------------------|
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| `test-results` | `junit.xml`, `coverage.xml` | Always (unless cancelled) |
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## Running Linters Locally
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You can run the same checks locally before pushing:
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```bash
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# Install dev dependencies
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pip install -r requirements-dev.txt
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# Run Ruff linting
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ruff check app/ tests/
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# Run Ruff formatting check
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ruff format --check app/ tests/
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# Run type checking
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mypy app/
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# Run tests
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pytest tests/ -v --cov=app --cov-report=term -m "not e2e"
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```
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Or use pre-commit hooks to run checks automatically on each commit (recommended):
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```bash
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pip install pre-commit
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pre-commit install
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pre-commit run --all-files
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```
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Pre-commit hooks include Ruff linting/formatting, Mypy type checking, secret detection, and conventional commit validation.
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## Additional Security Scanning
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Beyond the linting and testing workflows, DocuElevate uses additional security tools:
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### CodeQL (`.github/workflows/codeql.yml`)
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- **Purpose**: Advanced security scanning for code vulnerabilities
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- **Frequency**: Runs on push to main, pull requests, and weekly schedule
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- **Languages**: Python, JavaScript, GitHub Actions
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- **Coverage**: Detects security vulnerabilities, bugs, and code quality issues
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- **Native GitHub integration**: Results appear in the Security tab
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### Codecov
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- **Purpose**: Test coverage tracking and visualization
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- **Integration**: Automatically receives coverage reports from test workflow
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- **Features**: Coverage trends, PR comments, coverage diffs
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## Design Decisions
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### Why Separate Jobs Instead of Steps?
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Previously, all linters ran as sequential steps in a single job. This meant:
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- A failure in one tool would prevent others from running.
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- Contributors only saw feedback from the **first** tool that failed, not all of them.
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By splitting into independent jobs:
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- **All tools always run** regardless of other failures.
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- Contributors see **all** feedback in a single CI run.
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- Jobs run **in parallel**, reducing total wall-clock time.
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### Why Ruff Instead of Multiple Tools?
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DocuElevate uses Ruff as an all-in-one linting solution, replacing:
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- **Flake8** (PEP 8 style checking)
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- **Black** (code formatting)
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- **isort** (import sorting)
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- **Bandit** (security linting)
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- **Pylint** (some code quality checks)
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**Benefits:**
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- 10-100x faster than traditional tools
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- Single configuration in `pyproject.toml`
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- Consistent behavior across all checks
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- Auto-fix capability for most issues
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- Active development and modern Python support
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### Why Are All Checks Enforced?
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All checks are set to fail the CI (no `continue-on-error`). This ensures:
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- The codebase stays consistently formatted (Ruff format).
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- Style and quality issues are caught early (Ruff check).
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- Type errors surface before merge (Mypy).
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- Security issues are flagged immediately (Ruff security rules + CodeQL).
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## Tool Comparison & Rationale
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This project previously used multiple overlapping tools. Here's why the current setup was chosen:
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| Tool Category | Current Tool | Replaced Tools | Rationale |
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|---------------|--------------|----------------|-----------|
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| Linting & Formatting | **Ruff** | Flake8, Black, isort, Bandit, Pylint | Modern, fast, comprehensive, single tool |
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| Type Checking | **Mypy** | - | Industry standard, unique value |
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| Security Scanning | **CodeQL** | - | GitHub native, free, enterprise-grade |
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| Coverage Tracking | **Codecov** | - | Excellent visualization and PR integration |
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**Rejected/Removed:**
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- **DeepSource**: Redundant with Ruff + CodeQL (removed in this update)
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- **SonarQube**: Not configured, enterprise-focused, redundant with current tools
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- **Snyk**: Not configured, CodeQL provides adequate security scanning
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## Copilot Code Compliance
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All code — whether written by hand or suggested by GitHub Copilot — goes through the same CI pipeline. Copilot-generated code is linted, type-checked, and security-scanned identically to human-written code. Contributors using Copilot should ensure suggestions pass all checks before committing.
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