improve-coverage

Improve Test Coverage

You are tasked with systematically improving test coverage for the mcp-server-langgraph project. This command analyzes coverage gaps and generates targeted test stubs to increase coverage toward the 80% target.

Project Coverage Context

Current Coverage: 60-65% combined (unit + integration) Target Coverage: 80% Test Suite: 437+ tests across 5 categories Coverage Tools: pytest-cov with HTML/XML reports

Coverage Gap Strategy:

• Identify files below threshold (default: 70%)
• Prioritize critical modules (auth, agent, sessions)
• Generate test stubs for uncovered lines
• Track progress toward 80% target

Your Task

Step 1: Gather Information

Ask the user using the AskUserQuestion tool:

Question 1: What coverage threshold to use?

• Header: "Threshold"
• Options:
  • 50%: Show all files below 50% (high-priority gaps)
  • 60%: Show files below 60% (medium-priority)
  • 70%: Show files below 70% (standard threshold)
  • 80%: Show files below 80% (target coverage)

Question 2 (Optional): Focus on specific module?

• Header: "Module Focus"
• Options:
  • All modules: Analyze entire codebase
  • Auth: Focus on authentication/authorization
  • Agent: Focus on LangGraph agent
  • Sessions: Focus on session storage
  • Tools: Focus on MCP tools
  • Observability: Focus on telemetry/logging
  • Specific file: User-provided file path

Step 2: Run Coverage Analysis

1. Run pytest with coverage (if coverage report doesn't exist):

   uv run --frozen pytest tests/ --cov=src/mcp_server_langgraph --cov-report=html --cov-report=xml --cov-report=term -v
   

2. Parse coverage report:

   • Read htmlcov/index.html for summary
   • Read .coverage database (if available)
   • Parse terminal output for quick overview

3. Extract coverage data:

   • File-level coverage percentages
   • Uncovered line ranges
   • Missing branches (if branch coverage enabled)

Step 3: Identify Coverage Gaps

Priority Ranking (for files below threshold):