AI Development Guidelines MCP Server

stages: - test - build - deploy - analyze variables: PYTHON_VERSION: "3.11" PIP_CACHE_DIR: "$CI_PROJECT_DIR/.cache/pip" cache: paths: - .cache/pip - .pythonlibs/ before_script: - python --version - pip install --upgrade pip test: stage: test image: python:3.11 script: - pip install -r requirements.txt || pip install mcp pyyaml anthropic - python -m pytest tests/ -v --cov=src --cov-report=xml --cov-report=term - python test_client.py coverage: '/(?i)total.*? (100(?:\.0+)?\%|[1-9]?\d(?:\.\d+)?\%)$/' artifacts: reports: coverage_report: coverage_format: cobertura path: coverage.xml paths: - coverage.xml - .coverage only: - merge_requests - main - develop lint: stage: test image: python:3.11 script: - pip install ruff mypy - ruff check src/ --output-format=gitlab > ruff-report.json || true - mypy src/ --ignore-missing-imports || true artifacts: reports: codequality: ruff-report.json allow_failure: true only: - merge_requests - main build_cache: stage: build image: python:3.11 script: - python scripts/build_compressed_cache.py - ls -lh cache/ artifacts: paths: - cache/ expire_in: 1 week only: - main - develop analyze_feedback: stage: analyze image: python:3.11 script: - pip install pandas matplotlib - python scripts/analyze_feedback.py artifacts: paths: - analytics/ expire_in: 30 days only: - schedules - main allow_failure: true deploy_staging: stage: deploy image: python:3.11 script: - echo "Deploying to staging environment..." - pip install -r requirements.txt - python -c "from src.mcp_server import DevelopmentGuidelinesServer; print('Server validation OK')" environment: name: staging url: https://staging.mcp-server.example.com only: - develop deploy_production: stage: deploy image: python:3.11 script: - echo "Deploying to production environment..." - pip install -r requirements.txt - python scripts/build_compressed_cache.py - echo "Production deployment complete" environment: name: production url: https://mcp-server.example.com only: - main when: manual token_optimization_report: stage: analyze image: python:3.11 script: - pip install -r requirements.txt || pip install mcp pyyaml anthropic - python scripts/token_optimizer_report.py artifacts: paths: - reports/token_usage_*.json expire_in: 90 days only: - schedules environment: name: analytics # Schedule this job to run weekly: # GitLab Project Settings > CI/CD > Schedules > New schedule # Interval pattern: 0 2 * * 0 (Every Sunday at 2 AM) # Target branch: main # Variables: None required