- Change database from in-memory to file-based SQLite at aitbc_coordinator.db - Add status="active" to GPU booking creation - Allow GPU release even when not properly booked (cleanup case) - Add error handling for missing booking attributes during refund calculation - Fix get_gpu_reviews query to use scalars() for proper result handling
5.4 KiB
5.4 KiB
🎯 GPU Release Fix - Next Steps & Status
✅ COMPLETED STEPS
1. Database Persistence Fixed ✅
- ✅ Switched from in-memory SQLite to persistent file
- ✅ Database file:
/home/oib/windsurf/aitbc/apps/coordinator-api/aitbc_coordinator.db - ✅ Clean database initialization
2. Service Management Fixed ✅
- ✅ Cleaned up all coordinator processes
- ✅ Single instance service management
- ✅ Fresh service start with persistent database
3. SQLModel Methods Fixed ✅
- ✅ Fixed ALL
session.execute()→session.exec()calls (6 instances) - ✅ Fixed GPU booking creation with explicit status
- ✅ Improved release logic with graceful handling
4. GPU Registration Success ✅
- ✅ New GPU registered:
gpu_1ea3dcd8 - ✅ Clean database without fake entries
- ✅ Proper GPU details and pricing
5. Booking Success ✅
- ✅ GPU booking works:
bk_d4df306b8f - ✅ Cost calculation: 0.5 AITBC
- ✅ Status tracking: "booked"
❌ REMAINING ISSUE
GPU Release Still Failing ❌
❌ Status: HTTP 500 Internal Server Error
❌ Error: Failed to release GPU: 500
❌ GPU Status: Stuck as "booked"
🔍 ROOT CAUSE ANALYSIS
Potential Issues:
1. Import Problems
# Check if SQLModel imports are correct
from sqlmodel import Session, select, func
from app.database import engine
from app.domain.gpu_marketplace import GPURegistry, GPUBooking
2. Database Schema Issues
# Tables might not be created properly
create_db_and_tables() # Called on startup
3. Missing Dependencies
# Check if all required imports are available
from sqlalchemy import func # Used in review calculations
4. Session Transaction Issues
# Session might not be properly committed
session.commit() # Check if this is working
🛠️ DEBUGGING NEXT STEPS
Step 1: Check Error Logs
# Get detailed error logs
curl -v http://localhost:8000/v1/marketplace/gpu/gpu_1ea3dcd8/release
# Check coordinator logs
journalctl -u aitbc-coordinator --since "1 minute ago"
Step 2: Test Database Directly
# Create debug script to test database operations
python3 scripts/debug_database_operations.py
Step 3: Check Imports
# Verify all imports work correctly
python3 -c "from app.domain.gpu_marketplace import GPURegistry, GPUBooking"
Step 4: Manual Database Test
# Test release logic manually in Python REPL
python3 scripts/test_release_logic.py
🚀 IMMEDIATE ACTIONS
High Priority:
- Debug the 500 error - Get detailed error message
- Check database schema - Verify tables exist
- Test imports - Ensure all modules load correctly
Medium Priority:
- Create debug script - Test database operations directly
- Add logging - More detailed error messages
- Manual testing - Test release logic in isolation
📋 WORKING SOLUTIONS
Current Working Features:
- ✅ GPU Registration
- ✅ GPU Listing
- ✅ GPU Booking
- ✅ Database Persistence
- ✅ Service Management
Broken Features:
- ❌ GPU Release (HTTP 500)
🎯 EXPECTED OUTCOME
When Fixed Should See:
aitbc marketplace gpu release gpu_1ea3dcd8
# Expected Response:
{
"status": "released",
"gpu_id": "gpu_1ea3dcd8",
"refund": 0.25,
"message": "GPU gpu_1ea3dcd8 released successfully"
}
GPU Status Should Change:
aitbc marketplace gpu list
# Expected: GPU status = "available" (not "booked")
📊 PROGRESS SUMMARY
| Phase | Status | Notes |
|---|---|---|
| Database Persistence | ✅ COMPLETE | Persistent SQLite working |
| Service Management | ✅ COMPLETE | Single instance running |
| SQLModel Fixes | ✅ COMPLETE | All 6 instances fixed |
| GPU Registration | ✅ COMPLETE | New GPU registered |
| GPU Booking | ✅ COMPLETE | Booking working |
| GPU Release | ❌ IN PROGRESS | HTTP 500 error persists |
Overall Progress: 83% Complete
🔄 NEXT EXECUTION PLAN
Immediate (Next 10 minutes):
- Get detailed error logs for 500 error
- Check database schema and imports
- Create debug script for release logic
Short-term (Next 30 minutes):
- Fix the root cause of 500 error
- Test complete booking/release cycle
- Verify GPU status changes properly
Long-term (Next hour):
- Clean up any remaining fake GPUs
- Test edge cases and error handling
- Document the complete solution
💡 KEY INSIGHTS
What We've Learned:
- SQLModel Method Names:
session.exec()notsession.execute() - Database Persistence: In-memory SQLite causes data loss
- Service Management: Multiple processes cause conflicts
- Booking Creation: Explicit status field required
What Still Needs Work:
- Error Handling: Need better error messages
- Debugging: More detailed logging required
- Testing: Comprehensive endpoint testing needed
🎉 SUCCESS METRICS
When Complete:
- ✅ GPU Release returns HTTP 200
- ✅ GPU status changes from "booked" to "available"
- ✅ Refund calculation works correctly
- ✅ Complete booking/release cycle functional
- ✅ No fake GPU entries in database
The foundation is solid - we just need to identify and fix the specific cause of the 500 error in the release endpoint.