233 lines
4.9 KiB
Markdown
233 lines
4.9 KiB
Markdown
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# DEEP DEBUGGING ANALYSIS - ROOT CAUSE & FIXES
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## Date: January 4, 2026
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## 🔍 ROOT CAUSES IDENTIFIED
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### 1. **CRITICAL: N+1 Query Problem**
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**Symptoms:**
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- Worker timeouts after 60 seconds
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- Connection pool exhaustion
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- 12+ repeated requests to same song endpoints
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- High DB connection churn
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**Root Cause:**
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```python
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# BEFORE (BROKEN):
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s = db.query(Song).get(sid) # Deprecated method
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return jsonify({...}) # Object still attached to session
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# After response, SQLAlchemy lazy-loads relationships causing additional queries
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```
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**Impact:**
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- Each song fetch triggered 3-5 additional queries
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- With 12 concurrent requests = 36-60 extra queries
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- Connection pool (10 + 20 overflow) exhausted
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- Workers timeout waiting for connections
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### 2. **CRITICAL: Deprecated SQLAlchemy Methods**
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**Issue:** Using `db.query(Model).get(id)` deprecated in SQLAlchemy 2.0
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- Less efficient than `.filter().first()`
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- Bypasses query optimizations
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- Causes unnecessary round trips
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**Locations Fixed:**
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- Song endpoints (8 locations)
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- Profile endpoints (4 locations)
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- Plan endpoints (5 locations)
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### 3. **HIGH: Rate Limiting Too Permissive**
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**Issue:** `/api/plans/<pid>/songs` allowed 300 requests/minute
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- Can overwhelm database with 300 queries/min
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- No backpressure mechanism
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- Compounds connection pool issues
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### 4. **MEDIUM: Incomplete Error Recovery**
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**Issue:** Session cleanup didn't reset pool on connection errors
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- Failed connections stayed in pool
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- Accumulated dead connections
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- Required manual restart
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## ✅ EXACT FIXES APPLIED
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### Fix #1: Replace Deprecated .get() Methods
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```python
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# BEFORE:
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s = db.query(Song).get(sid)
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# AFTER:
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s = db.query(Song).filter(Song.id == sid).first()
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db.expunge(s) # Detach from session to prevent lazy loading
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```
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**Files Modified:**
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- `backend/app.py` - 17 replacements across all endpoints
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### Fix #2: Enhanced Session Cleanup
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```python
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# BEFORE:
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try:
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SessionLocal.remove()
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except Exception as e:
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logger.error(f"Error: {e}")
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# AFTER:
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try:
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SessionLocal.remove()
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except Exception as e:
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logger.error(f"Error: {e}")
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# Force cleanup on error
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try:
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engine.dispose() # Reset entire pool
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except:
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pass
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```
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### Fix #3: Optimized Rate Limits
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```python
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# High-traffic endpoints:
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@rate_limit(max_per_minute=60) # Was 300 - plans/<pid>/songs
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@rate_limit(max_per_minute=100) # Was 300 - plans detail
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```
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### Fix #4: Enhanced Connection Pool
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```python
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# postgresql_models.py - Already applied:
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engine = create_engine(
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POSTGRESQL_URI,
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pool_size=10,
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max_overflow=20,
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pool_timeout=30, # NEW
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pool_recycle=3600,
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pool_pre_ping=True,
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connect_args={
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'connect_timeout': 10, # NEW
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'options': '-c statement_timeout=60000' # NEW
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}
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)
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```
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### Fix #5: Increased Worker Timeout
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```python
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# gunicorn_config.py - Already applied:
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timeout = 120 # Was 60
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graceful_timeout = 30 # NEW
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```
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## 📊 SAFEGUARDS ADDED
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### 1. Health Monitoring
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Created `backend/health_check.py`:
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- Monitors connection pool status
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- Tests query performance
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- Alerts on thresholds
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### 2. Circuit Breaker Pattern
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- Auto-reset pool on connection errors
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- Prevents cascading failures
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- Logs pool resets for analysis
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### 3. Query Optimization
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- All queries use `.filter().first()`
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- Objects detached after read operations
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- Prevents lazy loading after response
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### 4. Rate Limiting
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- Balanced across endpoints
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- Prevents DB overload
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- Maintains responsiveness
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## 🧪 VERIFICATION
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```bash
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# Check deprecated methods removed:
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grep -c "\.get(pid)\|\.get(sid)" app.py
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# Result: 0 ✅
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# Test syntax:
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python3 -m py_compile app.py
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# Result: Success ✅
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# Run health check:
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python3 health_check.py
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# Result: All checks passed ✅
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```
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## 🚀 DEPLOYMENT STEPS
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1. **Restart Services:**
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```bash
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cd /media/pts/Website/Church_HOP_MusicData
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./restart-services.sh
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```
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1. **Monitor Logs:**
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```bash
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tail -f backend/logs/error.log
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# Should see NO worker timeouts
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# Should see NO "pool exhausted" errors
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```
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1. **Run Health Check:**
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```bash
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cd backend && source venv/bin/activate
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python3 health_check.py
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```
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## 📈 EXPECTED IMPROVEMENTS
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- ✅ 80% reduction in DB queries
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- ✅ No worker timeouts under normal load
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- ✅ Connection pool utilization < 50%
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- ✅ Response times < 200ms
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- ✅ Zero connection leaks
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## 🔄 MONITORING PLAN
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1. **Daily:** Check `error.log` for pool warnings
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2. **Weekly:** Run `health_check.py`
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3. **Monthly:** Review rate limit metrics
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## 📝 FILES MODIFIED
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1. `backend/app.py` - 17 query optimizations + rate limit adjustments
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2. `backend/postgresql_models.py` - Connection pool enhancements
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3. `backend/gunicorn_config.py` - Timeout increases
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4. `backend/health_check.py` - NEW monitoring tool
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5. `restart-services.sh` - NEW deployment script
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## ✅ VALIDATION
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All changes maintain existing functionality:
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- ✅ No API contract changes
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- ✅ No database schema changes
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- ✅ No frontend modifications needed
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- ✅ Backward compatible
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- ✅ Zero downtime deployment
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