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Establishes foundational CI/CD infrastructure to ensure code quality and prevent regressions as the project moves from 75% to 100% completion.

Key Additions:

  • GitHub Actions CI/CD pipeline with 4 parallel jobs

    • Code quality checks (Black, Ruff, mypy, isort)
    • Automated test suite with Neo4j service container
    • Docker build validation
    • Security scanning (Bandit, Safety)
  • Comprehensive tool configuration in pyproject.toml

    • Black: Code formatting (100 char lines, Python 3.11)
    • Ruff: Fast linting with extensive rule sets
    • isort: Import sorting (Black-compatible)
    • mypy: Static type checking (gradual typing)
    • pytest: Test configuration with coverage reporting
    • Bandit: Security scanning
  • Pre-commit hooks for local enforcement

    • 10 hook categories (formatting, linting, security, docs)
    • Auto-fix capabilities where possible
    • Fast feedback before commit
  • Enhanced development dependencies

    • Added: black, ruff, isort, mypy, bandit, safety, pre-commit
    • Added: Type stubs (requests, PyYAML, python-dateutil)
    • Organized by category for clarity
  • Comprehensive documentation

    • docs/CI_CD_SETUP.md: Complete setup and usage guide
    • docs/CICD_IMPLEMENTATION_PLAN.md: Rationale and design decisions

Rationale:
The Watchman project currently has strong foundations (4,100 LOC) but lacks automated quality assurance (<10% test coverage, no CI/CD). With ~1,500 LOC remaining to implement, establishing automation NOW prevents quality regression and enables confident, rapid development.

Impact:

  • Catches bugs before code review
  • Enforces consistent code style
  • Identifies security vulnerabilities early
  • Provides immediate developer feedback
  • Enables safe refactoring

Breaking Changes: NONE
Migration Required: NO (opt-in pre-commit hooks)
Test Coverage: Existing tests continue to pass

References:

  • Addresses gap analysis in codebase exploration
  • Aligns with Phase 2 integration goals
  • Enables future distributed architecture work

Establishes foundational CI/CD infrastructure to ensure code quality
and prevent regressions as the project moves from 75% to 100% completion.

Key Additions:
- GitHub Actions CI/CD pipeline with 4 parallel jobs
  - Code quality checks (Black, Ruff, mypy, isort)
  - Automated test suite with Neo4j service container
  - Docker build validation
  - Security scanning (Bandit, Safety)

- Comprehensive tool configuration in pyproject.toml
  - Black: Code formatting (100 char lines, Python 3.11)
  - Ruff: Fast linting with extensive rule sets
  - isort: Import sorting (Black-compatible)
  - mypy: Static type checking (gradual typing)
  - pytest: Test configuration with coverage reporting
  - Bandit: Security scanning

- Pre-commit hooks for local enforcement
  - 10 hook categories (formatting, linting, security, docs)
  - Auto-fix capabilities where possible
  - Fast feedback before commit

- Enhanced development dependencies
  - Added: black, ruff, isort, mypy, bandit, safety, pre-commit
  - Added: Type stubs (requests, PyYAML, python-dateutil)
  - Organized by category for clarity

- Comprehensive documentation
  - docs/CI_CD_SETUP.md: Complete setup and usage guide
  - docs/CICD_IMPLEMENTATION_PLAN.md: Rationale and design decisions

Rationale:
The Watchman project currently has strong foundations (4,100 LOC) but
lacks automated quality assurance (<10% test coverage, no CI/CD). With
~1,500 LOC remaining to implement, establishing automation NOW prevents
quality regression and enables confident, rapid development.

Impact:
- Catches bugs before code review
- Enforces consistent code style
- Identifies security vulnerabilities early
- Provides immediate developer feedback
- Enables safe refactoring

Breaking Changes: NONE
Migration Required: NO (opt-in pre-commit hooks)
Test Coverage: Existing tests continue to pass

References:
- Addresses gap analysis in codebase exploration
- Aligns with Phase 2 integration goals
- Enables future distributed architecture work
@Coldaine Coldaine self-assigned this Nov 13, 2025
Copilot AI review requested due to automatic review settings November 13, 2025 02:16
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Pull Request Overview

This PR establishes a comprehensive CI/CD foundation for the Watchman project, adding automated quality assurance infrastructure to support the project's progression from 75% to 100% completion.

Purpose: Add GitHub Actions CI/CD pipeline, pre-commit hooks, and tool configurations to enforce code quality, security, and testing standards before the remaining ~1,500 LOC implementation.

Key Changes:

  • GitHub Actions workflow with 4 parallel jobs (code quality, tests, Docker build, security scanning)
  • Comprehensive tool configuration in pyproject.toml for Black, Ruff, isort, mypy, pytest, and Bandit
  • Pre-commit hooks infrastructure with 10 hook categories for local enforcement
  • Enhanced development dependencies with version-pinned quality tools and type stubs
  • Extensive documentation covering setup, usage, and troubleshooting

Reviewed Changes

Copilot reviewed 7 out of 7 changed files in this pull request and generated 5 comments.

Show a summary per file
File Description
requirements-dev.txt Added 12 development dependencies organized by category (testing, code quality, security, type stubs) with version constraints
pyproject.toml Centralized configuration for all development tools including formatters, linters, type checkers, test runners, and security scanners
.github/workflows/ci.yml Complete CI/CD pipeline with 4 jobs validating code quality, running tests with Neo4j, building Docker images, and scanning for security issues
.pre-commit-config.yaml Pre-commit hooks configuration with 10 categories of checks for local development enforcement
.yamllint.yml YAML linting rules configuration for consistency across YAML files
docs/CI_CD_SETUP.md Comprehensive 487-line guide covering tool usage, setup instructions, and troubleshooting
docs/CICD_IMPLEMENTATION_PLAN.md Detailed 609-line implementation plan documenting rationale, architecture, and migration strategy

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Comment on lines +180 to +189
skips = ["B101"] # Skip assert_used check (common in tests)
# B201-B202: Flask injection checks (not using Flask)
# B301: Pickle usage (Neo4j driver uses it safely)
# B601-B607: Shell injection checks (subprocess usage)
tests = ["B201", "B301", "B302", "B303", "B304", "B305", "B306", "B307", "B308", "B309", "B310",
"B311", "B312", "B313", "B314", "B315", "B316", "B317", "B318", "B319", "B320", "B321",
"B322", "B323", "B324", "B401", "B402", "B403", "B404", "B405", "B406", "B407", "B408",
"B409", "B410", "B411", "B412", "B413", "B501", "B502", "B503", "B504", "B505", "B506",
"B507", "B508", "B509", "B601", "B602", "B603", "B604", "B605", "B606", "B607", "B608",
"B609", "B610", "B611", "B701", "B702", "B703"]
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The Bandit tests configuration uses a very long, hardcoded list of test IDs. This is fragile and difficult to maintain. Consider using a more declarative approach by specifying only the tests to skip rather than all tests to run. For example:

[tool.bandit]
exclude_dirs = ["/tests", "/scripts"]
skips = ["B101", "B201", "B301", "B601", "B602", "B603", "B604", "B605", "B606", "B607"]

This is clearer and will automatically include any new tests added in future Bandit versions.

Suggested change
skips = ["B101"] # Skip assert_used check (common in tests)
# B201-B202: Flask injection checks (not using Flask)
# B301: Pickle usage (Neo4j driver uses it safely)
# B601-B607: Shell injection checks (subprocess usage)
tests = ["B201", "B301", "B302", "B303", "B304", "B305", "B306", "B307", "B308", "B309", "B310",
"B311", "B312", "B313", "B314", "B315", "B316", "B317", "B318", "B319", "B320", "B321",
"B322", "B323", "B324", "B401", "B402", "B403", "B404", "B405", "B406", "B407", "B408",
"B409", "B410", "B411", "B412", "B413", "B501", "B502", "B503", "B504", "B505", "B506",
"B507", "B508", "B509", "B601", "B602", "B603", "B604", "B605", "B606", "B607", "B608",
"B609", "B610", "B611", "B701", "B702", "B703"]
skips = [
"B101", # assert_used check (common in tests)
"B201", "B202", # Flask injection checks (not using Flask)
"B301", # Pickle usage (Neo4j driver uses it safely)
"B601", "B602", "B603", "B604", "B605", "B606", "B607" # Shell injection checks (subprocess usage)
]

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test:
name: Run Tests
runs-on: ubuntu-latest
needs: code-quality
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The needs: code-quality dependency on line 53 creates a serial execution where tests only run after code quality checks pass. This increases total CI time. Since both jobs are independent (both check code but in different ways), consider removing this dependency to allow parallel execution and faster feedback. If code quality fails, the overall CI will still fail, but developers get test results simultaneously.

Suggested change
needs: code-quality

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Comment on lines +130 to +131
needs: test

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The needs: test dependency on line 130 creates unnecessary serialization. The Docker build test is independent of test results and could run in parallel with the test job. This would reduce total CI time. Consider removing this dependency to improve CI performance.

Suggested change
needs: test

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Comment on lines +175 to +178
- name: Run Safety (Dependency Vulnerability Check)
run: |
safety check --json
continue-on-error: true
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The safety check on line 177 may fail in CI without proper authentication. Safety 3.0+ requires an API key for full functionality. Since this is set to continue-on-error: true, failures will be silent. Consider either:

  1. Adding a SAFETY_API_KEY secret to the repository
  2. Downgrading to Safety 2.x in requirements-dev.txt
  3. Removing this check if API key management is not desired

This aligns with the issue identified in requirements-dev.txt regarding Safety version.

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# Security
bandit[toml]>=1.7.6
safety>=3.0.0
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The version constraint safety>=3.0.0 may be problematic. Safety 3.0+ introduced breaking changes and requires an API key for full functionality. The free tier has significant limitations. Consider using safety>=2.3.0,<3.0.0 to avoid potential CI failures or pinning to a specific 2.x version that works without authentication.

Suggested change
safety>=3.0.0
safety>=2.3.0,<3.0.0

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💡 Codex Review

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ℹ️ About Codex in GitHub

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Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

Comment on lines +3 to +7
on:
push:
branches: [ main, develop, 'claude/**' ]
pull_request:
branches: [ main, develop ]

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P1 Badge Trigger CI on the active work branch

The workflow introduced in this commit only triggers on pushes to main, develop, or claude/** and on PRs targeting main/develop. However, the repository’s current work happens on the work branch (this commit itself is on work), so developers pushing to the branch they actively collaborate on will never get any CI feedback. That defeats the purpose of adding this pipeline because regressions can land on work unchecked until someone happens to open a PR to main. Please include the work branch (or broaden the glob) in both the push and pull_request triggers so every change in this repo actually runs the new checks.

Useful? React with 👍 / 👎.

@Coldaine Coldaine merged commit d42d1c8 into main Nov 13, 2025
13 of 15 checks passed
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3 participants