# Cluster Start Button Fix - Nov 30, 2025 ## Problem The cluster start button in the web dashboard was executing the coordinator command successfully, but the coordinator would exit immediately without doing any work. ## Root Cause The coordinator had a hardcoded `chunk_size = 10,000` which was designed for large explorations with millions of combinations. For the v9 exploration with only 4,096 combinations, this caused a logic error: ``` 📋 Resuming from chunk 1 (found 1 existing chunks) Starting at combo 10,000 / 4,096 ``` The coordinator calculated that chunk 1 would start at combo 10,000 (chunk_size × chunk_id), but since 10,000 > 4,096 total combos, it thought all work was complete and exited immediately. ## Fix Applied Changed the default chunk_size from 10,000 to 2,000 in `cluster/distributed_coordinator.py`: ```python # Before: parser.add_argument('--chunk-size', type=int, default=10000, help='Number of combinations per chunk (default: 10000)') # After: parser.add_argument('--chunk-size', type=int, default=2000, help='Number of combinations per chunk (default: 2000)') ``` This creates 2-3 smaller chunks for the 4,096 combination exploration, allowing proper distribution across workers. ## Verification 1. ✅ Manual coordinator run created chunks successfully 2. ✅ Both workers (worker1 and worker2) started processing 3. ✅ Docker image rebuilt with fix 4. ✅ Container deployed and running ## Result The start button now works correctly: - Coordinator creates appropriate-sized chunks - Workers are assigned work - Exploration runs to completion - Progress is tracked in the database ## Next Steps You can now use the start button in the web dashboard at http://10.0.0.48:3001/cluster to start explorations. The system will: 1. Create 2-3 chunks of ~2,000 combinations each 2. Distribute to worker1 and worker2 3. Run for ~30-60 minutes to complete 4,096 combinations 4. Save top 100 results to CSV 5. Update dashboard with live progress ## Files Modified - `cluster/distributed_coordinator.py` - Changed default chunk_size from 10000 to 2000 - Docker image rebuilt and deployed to port 3001