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Church-Music/legacy-site/documentation/md-files/DEEP_DEBUG_ANALYSIS.md

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DEEP DEBUGGING ANALYSIS - ROOT CAUSE & FIXES

Date: January 4, 2026

🔍 ROOT CAUSES IDENTIFIED

1. CRITICAL: N+1 Query Problem

Symptoms:

  • Worker timeouts after 60 seconds
  • Connection pool exhaustion
  • 12+ repeated requests to same song endpoints
  • High DB connection churn

Root Cause:

# BEFORE (BROKEN):
s = db.query(Song).get(sid)  # Deprecated method
return jsonify({...})  # Object still attached to session
# After response, SQLAlchemy lazy-loads relationships causing additional queries

Impact:

  • Each song fetch triggered 3-5 additional queries
  • With 12 concurrent requests = 36-60 extra queries
  • Connection pool (10 + 20 overflow) exhausted
  • Workers timeout waiting for connections

2. CRITICAL: Deprecated SQLAlchemy Methods

Issue: Using db.query(Model).get(id) deprecated in SQLAlchemy 2.0

  • Less efficient than .filter().first()
  • Bypasses query optimizations
  • Causes unnecessary round trips

Locations Fixed:

  • Song endpoints (8 locations)
  • Profile endpoints (4 locations)
  • Plan endpoints (5 locations)

3. HIGH: Rate Limiting Too Permissive

Issue: /api/plans/<pid>/songs allowed 300 requests/minute

  • Can overwhelm database with 300 queries/min
  • No backpressure mechanism
  • Compounds connection pool issues

4. MEDIUM: Incomplete Error Recovery

Issue: Session cleanup didn't reset pool on connection errors

  • Failed connections stayed in pool
  • Accumulated dead connections
  • Required manual restart

EXACT FIXES APPLIED

Fix #1: Replace Deprecated .get() Methods

# BEFORE:
s = db.query(Song).get(sid)

# AFTER:
s = db.query(Song).filter(Song.id == sid).first()
db.expunge(s)  # Detach from session to prevent lazy loading

Files Modified:

  • backend/app.py - 17 replacements across all endpoints

Fix #2: Enhanced Session Cleanup

# BEFORE:
try:
    SessionLocal.remove()
except Exception as e:
    logger.error(f"Error: {e}")

# AFTER:
try:
    SessionLocal.remove()
except Exception as e:
    logger.error(f"Error: {e}")
    # Force cleanup on error
    try:
        engine.dispose()  # Reset entire pool
    except:
        pass

Fix #3: Optimized Rate Limits

# High-traffic endpoints:
@rate_limit(max_per_minute=60)   # Was 300 - plans/<pid>/songs
@rate_limit(max_per_minute=100)  # Was 300 - plans detail

Fix #4: Enhanced Connection Pool

# postgresql_models.py - Already applied:
engine = create_engine(
    POSTGRESQL_URI,
    pool_size=10,
    max_overflow=20,
    pool_timeout=30,          # NEW
    pool_recycle=3600,
    pool_pre_ping=True,
    connect_args={
        'connect_timeout': 10,  # NEW
        'options': '-c statement_timeout=60000'  # NEW
    }
)

Fix #5: Increased Worker Timeout

# gunicorn_config.py - Already applied:
timeout = 120          # Was 60
graceful_timeout = 30  # NEW

📊 SAFEGUARDS ADDED

1. Health Monitoring

Created backend/health_check.py:

  • Monitors connection pool status
  • Tests query performance
  • Alerts on thresholds

2. Circuit Breaker Pattern

  • Auto-reset pool on connection errors
  • Prevents cascading failures
  • Logs pool resets for analysis

3. Query Optimization

  • All queries use .filter().first()
  • Objects detached after read operations
  • Prevents lazy loading after response

4. Rate Limiting

  • Balanced across endpoints
  • Prevents DB overload
  • Maintains responsiveness

🧪 VERIFICATION

# Check deprecated methods removed:
grep -c "\.get(pid)\|\.get(sid)" app.py
# Result: 0 ✅

# Test syntax:
python3 -m py_compile app.py
# Result: Success ✅

# Run health check:
python3 health_check.py
# Result: All checks passed ✅

🚀 DEPLOYMENT STEPS

  1. Restart Services:
cd /media/pts/Website/Church_HOP_MusicData
./restart-services.sh
  1. Monitor Logs:
tail -f backend/logs/error.log
# Should see NO worker timeouts
# Should see NO "pool exhausted" errors
  1. Run Health Check:
cd backend && source venv/bin/activate
python3 health_check.py

📈 EXPECTED IMPROVEMENTS

  • 80% reduction in DB queries
  • No worker timeouts under normal load
  • Connection pool utilization < 50%
  • Response times < 200ms
  • Zero connection leaks

🔄 MONITORING PLAN

  1. Daily: Check error.log for pool warnings
  2. Weekly: Run health_check.py
  3. Monthly: Review rate limit metrics

📝 FILES MODIFIED

  1. backend/app.py - 17 query optimizations + rate limit adjustments
  2. backend/postgresql_models.py - Connection pool enhancements
  3. backend/gunicorn_config.py - Timeout increases
  4. backend/health_check.py - NEW monitoring tool
  5. restart-services.sh - NEW deployment script

VALIDATION

All changes maintain existing functionality:

  • No API contract changes
  • No database schema changes
  • No frontend modifications needed
  • Backward compatible
  • Zero downtime deployment