aitbc/docs/trail/GPU_RELEASE_FIX_SUMMARY.md

GPU Release Issue Fix Summary

❌ ISSUE IDENTIFIED

Problem:

• GPU release endpoint returning HTTP 500 Internal Server Error
• Error: Failed to release GPU: 500
• GPU status stuck as "booked" instead of "available"

Root Causes Found:

1. SQLModel Session Method Mismatch

# PROBLEM: Using SQLAlchemy execute() instead of SQLModel exec()
booking = session.execute(select(GPUBooking).where(...))

# FIXED: Using SQLModel exec() method
booking = session.exec(select(GPUBooking).where(...))

2. Missing Booking Status Field

# PROBLEM: Booking created without explicit status
booking = GPUBooking(
    gpu_id=gpu_id,
    job_id=request.job_id,
    # Missing: status="active"
)

# FIXED: Explicit status setting
booking = GPUBooking(
    gpu_id=gpu_id,
    job_id=request.job_id,
    status="active"  # Explicitly set
)

3. Database Table Issues

• SQLite in-memory database causing data loss on restart
• Tables not properly initialized
• Missing GPURegistry table references

---

✅ FIXES APPLIED

1. Fixed SQLModel Session Methods

File: /apps/coordinator-api/src/app/routers/marketplace_gpu.py

Changes Made:

# Line 189: Fixed GPU list query
gpus = session.exec(stmt).scalars().all()  # was: session.execute()

# Line 200: Fixed GPU details booking query  
booking = session.exec(select(GPUBooking).where(...))  # was: session.execute()

# Line 292: Fixed GPU release booking query
booking = session.exec(select(GPUBooking).where(...))  # was: session.execute()

2. Fixed Booking Creation

File: /apps/coordinator-api/src/app/routers/marketplace_gpu.py

Changes Made:

# Line 259: Added explicit status field
booking = GPUBooking(
    gpu_id=gpu_id,
    job_id=request.job_id,
    duration_hours=request.duration_hours,
    total_cost=total_cost,
    start_time=start_time,
    end_time=end_time,
    status="active"  # ADDED: Explicit status
)

3. Improved Release Logic

File: /apps/coordinator-api/src/app/routers/marketplace_gpu.py

Changes Made:

# Lines 286-293: Added graceful handling for already available GPUs
if gpu.status != "booked":
    return {
        "status": "already_available", 
        "gpu_id": gpu_id,
        "message": f"GPU {gpu_id} is already available",
    }

---

🧪 TESTING RESULTS

Before Fixes:

❌ GPU Release: HTTP 500 Internal Server Error
❌ Error: Failed to release GPU: 500
❌ GPU Status: Stuck as "booked"
❌ Booking Records: Missing or inconsistent

After Fixes:

❌ GPU Release: Still returning HTTP 500
❌ Error: Failed to release GPU: 500  
❌ GPU Status: Still showing as "booked"
❌ Issue: Persists despite fixes

---

🔍 INVESTIGATION FINDINGS

Database Issues:

• In-memory SQLite: Database resets on coordinator restart
• Table Creation: GPURegistry table not persisting
• Data Loss: Fake GPUs reappear after restart

API Endpoints Affected:

• POST /v1/marketplace/gpu/{gpu_id}/release - Primary issue
• GET /v1/marketplace/gpu/list - Shows inconsistent data
• POST /v1/marketplace/gpu/{gpu_id}/book - Creates incomplete bookings

Service Architecture Issues:

• Multiple coordinator processes running
• Database connection inconsistencies
• Session management problems

---

🛠️ ADDITIONAL FIXES NEEDED

1. Database Persistence

# Need to switch from in-memory to persistent SQLite
engine = create_engine(
    "sqlite:///aitbc_coordinator.db",  # Persistent file
    connect_args={"check_same_thread": False},
    echo=False
)

2. Service Management

# Need to properly manage single coordinator instance
systemctl stop aitbc-coordinator
systemctl start aitbc-coordinator
systemctl status aitbc-coordinator

3. Fake GPU Cleanup

# Need direct database cleanup script
# Remove fake RTX-4090 entries
# Keep only legitimate GPUs

---

📋 CURRENT STATUS

✅ Fixed:

• SQLModel session method calls (3 instances)
• Booking creation with explicit status
• Improved release error handling
• Syntax errors resolved

❌ Still Issues:

• HTTP 500 error persists
• Database persistence problems
• Fake GPU entries reappearing
• Service restart issues

🔄 Next Steps:

1. Database Migration: Switch to persistent storage
2. Service Cleanup: Ensure single coordinator instance
3. Direct Database Fix: Manual cleanup of fake entries
4. End-to-End Test: Verify complete booking/release cycle

---

💡 RECOMMENDATIONS

Immediate Actions:

1. Stop All Coordinator Processes: pkill -f coordinator
2. Use Persistent Database: Modify database.py
3. Clean Database Directly: Remove fake entries
4. Start Fresh Service: Single instance only

Long-term Solutions:

1. Database Migration: PostgreSQL for production
2. Service Management: Proper systemd configuration
3. API Testing: Comprehensive endpoint testing
4. Monitoring: Service health checks

---

🎯 SUCCESS METRICS

When Fixed Should See:

aitbc marketplace gpu release gpu_c5be877c
# Expected: ✅ GPU released successfully

aitbc marketplace gpu list
# Expected: GPU status = "available"

aitbc marketplace gpu book gpu_c5be877c --hours 1
# Expected: ✅ GPU booked successfully

---

📝 CONCLUSION

The GPU release issue has been partially fixed with SQLModel method corrections and improved error handling, but the core database persistence and service management issues remain.

Key fixes applied:

• ✅ SQLModel session methods corrected
• ✅ Booking creation improved
• ✅ Release logic enhanced
• ✅ Syntax errors resolved

Remaining work needed:

• ❌ Database persistence implementation
• ❌ Service process cleanup
• ❌ Fake GPU data removal
• ❌ End-to-end testing validation

The foundation is in place, but database and service issues need resolution for complete fix.