Files
aitbc/docs/trail/GPU_RELEASE_NEXT_STEPS.md
oib 6bcbe76c7d feat: switch to persistent SQLite database and improve GPU booking/release handling
- 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
2026-03-07 12:23:01 +01:00

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:

  1. Debug the 500 error - Get detailed error message
  2. Check database schema - Verify tables exist
  3. Test imports - Ensure all modules load correctly

Medium Priority:

  1. Create debug script - Test database operations directly
  2. Add logging - More detailed error messages
  3. 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):

  1. Get detailed error logs for 500 error
  2. Check database schema and imports
  3. Create debug script for release logic

Short-term (Next 30 minutes):

  1. Fix the root cause of 500 error
  2. Test complete booking/release cycle
  3. Verify GPU status changes properly

Long-term (Next hour):

  1. Clean up any remaining fake GPUs
  2. Test edge cases and error handling
  3. Document the complete solution

💡 KEY INSIGHTS

What We've Learned:

  1. SQLModel Method Names: session.exec() not session.execute()
  2. Database Persistence: In-memory SQLite causes data loss
  3. Service Management: Multiple processes cause conflicts
  4. Booking Creation: Explicit status field required

What Still Needs Work:

  1. Error Handling: Need better error messages
  2. Debugging: More detailed logging required
  3. 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.