MCP Memory Service

#!/bin/bash # scripts/pr/run_pyscn_analysis.sh - Run pyscn comprehensive code quality analysis # # Usage: # bash scripts/pr/run_pyscn_analysis.sh [--pr PR_NUMBER] [--threshold SCORE] # # Options: # --pr PR_NUMBER Post results as PR comment (requires gh CLI) # --threshold SCORE Minimum health score (default: 50, blocks below this) # # Examples: # bash scripts/pr/run_pyscn_analysis.sh # Local analysis # bash scripts/pr/run_pyscn_analysis.sh --pr 123 # Analyze and comment on PR #123 # bash scripts/pr/run_pyscn_analysis.sh --threshold 70 # Require health score ≥70 set -e # Colors for output RED='\033[0;31m' YELLOW='\033[1;33m' GREEN='\033[0;32m' BLUE='\033[0;34m' NC='\033[0m' # No Color # Parse arguments PR_NUMBER="" THRESHOLD=50 # Default: block if health score <50 while [[ $# -gt 0 ]]; do case $1 in --pr) PR_NUMBER="$2" shift 2 ;; --threshold) THRESHOLD="$2" shift 2 ;; *) echo "Unknown option: $1" echo "Usage: $0 [--pr PR_NUMBER] [--threshold SCORE]" exit 1 ;; esac done # Check for pyscn if ! command -v pyscn &> /dev/null; then echo -e "${RED}❌ pyscn not found${NC}" echo "" echo "Install pyscn with:" echo " pip install pyscn" echo "" echo "Repository: https://github.com/ludo-technologies/pyscn" exit 1 fi echo -e "${BLUE}=== pyscn Code Quality Analysis ===${NC}" echo "" # Create reports directory if needed mkdir -p .pyscn/reports # Run pyscn analysis echo "Running pyscn analysis (this may take 30-60 seconds)..." echo "" # Generate timestamp for report TIMESTAMP=$(date +%Y%m%d_%H%M%S) REPORT_FILE=".pyscn/reports/analyze_${TIMESTAMP}.html" JSON_FILE=".pyscn/reports/analyze_${TIMESTAMP}.json" # Run analysis (HTML report) if pyscn analyze . --output "$REPORT_FILE" 2>&1 | tee /tmp/pyscn_output.log; then echo -e "${GREEN}✓${NC} Analysis complete" else echo -e "${RED}❌ Analysis failed${NC}" cat /tmp/pyscn_output.log exit 1 fi # Extract metrics from HTML report using grep/sed # Note: This is a simple parser - adjust patterns if pyscn output format changes HEALTH_SCORE=$(grep -o 'Health Score: [0-9]*' "$REPORT_FILE" | head -1 | grep -o '[0-9]*' || echo "0") COMPLEXITY_SCORE=$(grep -o '<span class="score-value">[0-9]*</span>' "$REPORT_FILE" | head -1 | sed 's/<[^>]*>//g' || echo "0") DEAD_CODE_SCORE=$(grep -o '<span class="score-value">[0-9]*</span>' "$REPORT_FILE" | sed -n '2p' | sed 's/<[^>]*>//g' || echo "0") DUPLICATION_SCORE=$(grep -o '<span class="score-value">[0-9]*</span>' "$REPORT_FILE" | sed -n '3p' | sed 's/<[^>]*>//g' || echo "0") # Extract detailed metrics TOTAL_FUNCTIONS=$(grep -o '<div class="metric-value">[0-9]*</div>' "$REPORT_FILE" | head -1 | sed 's/<[^>]*>//g' || echo "0") AVG_COMPLEXITY=$(grep -o '<div class="metric-value">[0-9.]*</div>' "$REPORT_FILE" | sed -n '3p' | sed 's/<[^>]*>//g' || echo "0") MAX_COMPLEXITY=$(grep -o '<div class="metric-value">[0-9]*</div>' "$REPORT_FILE" | sed -n '3p' | sed 's/<[^>]*>//g' || echo "0") DUPLICATION_PCT=$(grep -o '<div class="metric-value">[0-9.]*%</div>' "$REPORT_FILE" | head -1 | sed 's/<[^>]*>//g' || echo "0%") DEAD_CODE_ISSUES=$(grep -o '<div class="metric-value">[0-9]*</div>' "$REPORT_FILE" | sed -n '4p' | sed 's/<[^>]*>//g' || echo "0") ARCHITECTURE_VIOLATIONS=$(grep -o '<div class="metric-value">[0-9]*</div>' "$REPORT_FILE" | tail -2 | head -1 | sed 's/<[^>]*>//g' || echo "0") echo "" echo -e "${BLUE}=== Analysis Results ===${NC}" echo "" echo "📊 Overall Health Score: $HEALTH_SCORE/100" echo "" echo "Quality Metrics:" echo " - Complexity: $COMPLEXITY_SCORE/100 (Avg: $AVG_COMPLEXITY, Max: $MAX_COMPLEXITY)" echo " - Dead Code: $DEAD_CODE_SCORE/100 ($DEAD_CODE_ISSUES issues)" echo " - Duplication: $DUPLICATION_SCORE/100 ($DUPLICATION_PCT duplication)" echo "" echo "📄 Report: $REPORT_FILE" echo "" # Determine status EXIT_CODE=0 STATUS="✅ PASSED" EMOJI="✅" COLOR=$GREEN if [ "$HEALTH_SCORE" -lt "$THRESHOLD" ]; then STATUS="🔴 BLOCKED" EMOJI="🔴" COLOR=$RED EXIT_CODE=1 elif [ "$HEALTH_SCORE" -lt 70 ]; then STATUS="⚠️ WARNING" EMOJI="⚠️" COLOR=$YELLOW fi echo -e "${COLOR}${STATUS}${NC} - Health score: $HEALTH_SCORE (threshold: $THRESHOLD)" echo "" # Generate recommendations RECOMMENDATIONS="" if [ "$HEALTH_SCORE" -lt 50 ]; then RECOMMENDATIONS="**🚨 Critical Action Required:** - Health score below 50 is a release blocker - Focus on top 5 highest complexity functions - Remove dead code before proceeding " elif [ "$HEALTH_SCORE" -lt 70 ]; then RECOMMENDATIONS="**⚠️ Improvement Recommended:** - Plan refactoring sprint within 2 weeks - Track high-complexity functions on project board - Review duplication patterns for consolidation opportunities " fi # Check for critical issues CRITICAL_COMPLEXITY="" if [ "$MAX_COMPLEXITY" -gt 10 ]; then CRITICAL_COMPLEXITY="- ⚠️ Functions with complexity >10 detected (Max: $MAX_COMPLEXITY) " fi CRITICAL_DUPLICATION="" DUPLICATION_NUM=$(echo "$DUPLICATION_PCT" | sed 's/%//') if (( $(echo "$DUPLICATION_NUM > 5.0" | bc -l) )); then CRITICAL_DUPLICATION="- ⚠️ Code duplication above 5% threshold ($DUPLICATION_PCT) " fi # Post to PR if requested if [ -n "$PR_NUMBER" ]; then if ! command -v gh &> /dev/null; then echo -e "${YELLOW}⚠️ gh CLI not found, skipping PR comment${NC}" else echo "Posting results to PR #$PR_NUMBER..." COMMENT_BODY="## ${EMOJI} pyscn Code Quality Analysis **Health Score:** $HEALTH_SCORE/100 ### Quality Metrics | Metric | Score | Details | |--------|-------|---------| | 🔢 Complexity | $COMPLEXITY_SCORE/100 | Avg: $AVG_COMPLEXITY, Max: $MAX_COMPLEXITY | | 💀 Dead Code | $DEAD_CODE_SCORE/100 | $DEAD_CODE_ISSUES issues | | 📋 Duplication | $DUPLICATION_SCORE/100 | $DUPLICATION_PCT code duplication | | 🏗️ Architecture | N/A | $ARCHITECTURE_VIOLATIONS violations | ### Status $STATUS (Threshold: $THRESHOLD) ${CRITICAL_COMPLEXITY}${CRITICAL_DUPLICATION}${RECOMMENDATIONS} ### Full Report View detailed analysis: [HTML Report](.pyscn/reports/analyze_${TIMESTAMP}.html) --- <details> <summary>📖 About pyscn</summary> pyscn (Python Static Code Navigator) provides comprehensive static analysis including: - Cyclomatic complexity analysis - Dead code detection - Code duplication (clone detection) - Coupling metrics (CBO) - Dependency graph analysis - Architecture violation detection Repository: https://github.com/ludo-technologies/pyscn </details>" echo "$COMMENT_BODY" | gh pr comment "$PR_NUMBER" --body-file - echo -e "${GREEN}✓${NC} Posted comment to PR #$PR_NUMBER" fi fi # Summary echo "" echo -e "${BLUE}=== Summary ===${NC}" echo "" if [ $EXIT_CODE -eq 0 ]; then echo -e "${GREEN}✅ Quality checks passed${NC}" echo "" echo "Health score ($HEALTH_SCORE) meets threshold ($THRESHOLD)" else echo -e "${RED}❌ Quality checks failed${NC}" echo "" echo "Health score ($HEALTH_SCORE) below threshold ($THRESHOLD)" echo "" echo "Action required before merging:" echo " 1. Review full report: open $REPORT_FILE" echo " 2. Address high-complexity functions (complexity >10)" echo " 3. Remove dead code ($DEAD_CODE_ISSUES issues)" echo " 4. Reduce duplication where feasible" echo "" fi exit $EXIT_CODE