# EPYC Cluster Status Report - December 4, 2025 **Report Time:** 15:18 CET (office hours) **Issue:** Node 2 noise constraint during office hours (06:00-19:00) **Status:** ✅ RESOLVED - Time-restricted scheduling implemented --- ## Summary Successfully implemented time-based worker scheduling to manage Worker2 (bd-host01) noise constraint. Worker2 will now only process parameter sweep chunks during off-hours (19:00-06:00), while Worker1 continues 24/7 operation. --- ## Current Cluster Status ### Sweep Progress - **Total Chunks:** 1,693 - **Completed:** 64 (3.8%) - **Running:** 1 (worker1: chunk 14) - **Pending:** 1,628 ### Worker Status (15:18 - Office Hours) | Worker | Status | Current Load | Restriction | Notes | |--------|--------|--------------|-------------|-------| | Worker1 | ✅ Active | Processing chunk 14 | None | 24/7 operation | | Worker2 | ⏸️ Idle | 0 processes | **19:00-06:00 only** | Waiting for off-hours | --- ## Changes Implemented ### 1. Time-Restricted Worker Configuration Added to `v9_advanced_coordinator.py`: ```python WORKERS = { 'worker1': { 'host': 'root@10.10.254.106', 'workspace': '/home/comprehensive_sweep', # No restriction - runs 24/7 }, 'worker2': { 'host': 'root@10.20.254.100', 'workspace': '/home/backtest_dual/backtest', 'ssh_hop': 'root@10.10.254.106', 'time_restricted': True, # Enable time control 'allowed_start_hour': 19, # 7 PM start 'allowed_end_hour': 6, # 6 AM end } } ``` ### 2. Time Validation Function ```python def is_worker_allowed_to_run(worker_name: str) -> bool: """Check if worker is allowed to run based on time restrictions""" worker = WORKERS[worker_name] if not worker.get('time_restricted', False): return True current_hour = datetime.now().hour start_hour = worker['allowed_start_hour'] end_hour = worker['allowed_end_hour'] # Handle overnight range (19:00-06:00) if start_hour > end_hour: allowed = current_hour >= start_hour or current_hour < end_hour else: allowed = start_hour <= current_hour < end_hour return allowed ``` ### 3. Coordinator Integration Worker assignment loop now checks time restrictions: ```python for worker_name in WORKERS.keys(): # Check if worker is allowed to run if not is_worker_allowed_to_run(worker_name): if iteration % 10 == 0: # Log every 10 iterations print(f"⏰ {worker_name} not allowed (office hours, noise restriction)") continue # ... proceed with work assignment ... ``` --- ## Issues Resolved ### Stuck Chunk Problem - **Chunk ID:** v9_advanced_chunk_0014 - **Issue:** Stuck in "running" state since Dec 2, 15:14 (46+ hours) - **Cause:** Worker2 process failed but database wasn't updated - **Resolution:** Reset to pending status - **Current Status:** Reassigned to worker1, processing now ```sql UPDATE v9_advanced_chunks SET status='pending', assigned_worker=NULL WHERE id='v9_advanced_chunk_0014'; ``` --- ## Performance Impact ### Operating Hours Comparison **Before:** - Worker1: 32 cores × 24h = 768 core-hours/day - Worker2: 32 cores × 24h = 768 core-hours/day - **Total:** 1,536 core-hours/day **After:** - Worker1: 32 cores × 24h = 768 core-hours/day - Worker2: 32 cores × 11h = 352 core-hours/day (19:00-06:00) - **Total:** 1,120 core-hours/day **Impact:** -27% daily throughput (acceptable for quiet office hours) ### Estimated Completion Time - **Original Estimate:** ~40 days (both workers 24/7) - **With Restriction:** ~54 days (worker2 time-limited) - **Delta:** +14 days - **Trade-off:** Worth it for quiet work environment --- ## Verification Tests ### Time Restriction Logic Test (14:18 CET) ```bash $ python3 -c " from datetime import datetime current_hour = datetime.now().hour allowed = current_hour >= 19 or current_hour < 6 print(f'Current hour: {current_hour}') print(f'Worker2 allowed: {allowed}') " Current hour: 14 Worker2 allowed: False ✅ CORRECT ``` ### Worker Assignment Check ```bash $ sqlite3 exploration.db " SELECT assigned_worker, COUNT(*) FROM v9_advanced_chunks WHERE status='running' GROUP BY assigned_worker; " worker1|1 ✅ Only worker1 active during office hours ``` --- ## Expected Behavior ### During Office Hours (06:00 - 19:00) - ✅ Worker1: Processing chunks continuously - ⏸️ Worker2: Idle (no processes, no noise) - 📋 Coordinator: Logs "⏰ worker2 not allowed (office hours)" every 10 iterations ### During Off-Hours (19:00 - 06:00) - ✅ Worker1: Processing chunks continuously - ✅ Worker2: Processing chunks at full capacity - 🚀 Both workers: Maximum throughput (64 cores combined) ### Transition Times - **19:00 (7 PM):** Worker2 becomes active, starts processing pending chunks - **06:00 (6 AM):** Worker2 finishes current chunk, becomes idle until 19:00 --- ## Monitoring Commands ### Check Current Worker Status ```bash # Worker1 processes ssh root@10.10.254.106 "ps aux | grep v9_advanced_worker | wc -l" # Worker2 processes (should be 0 during office hours) ssh root@10.10.254.106 "ssh root@10.20.254.100 'ps aux | grep v9_advanced_worker | wc -l'" ``` ### Check Sweep Progress ```bash cd /home/icke/traderv4/cluster sqlite3 exploration.db " SELECT status, COUNT(*) as chunks, ROUND(100.0 * COUNT(*) / 1693, 1) as percent FROM v9_advanced_chunks GROUP BY status ORDER BY status; " ``` ### Watch Coordinator Logs ```bash # Real-time monitoring tail -f /home/icke/traderv4/cluster/v9_advanced_coordinator.log # Watch for time restriction messages tail -f /home/icke/traderv4/cluster/v9_advanced_coordinator.log | grep "⏰" ``` ### Check Worker Assignments ```bash sqlite3 exploration.db " SELECT assigned_worker, status, COUNT(*) as chunks FROM v9_advanced_chunks WHERE assigned_worker IS NOT NULL GROUP BY assigned_worker, status; " ``` --- ## Manual Overrides (If Needed) ### Temporarily Disable Time Restriction If urgent sweep needed during office hours: 1. Edit `/home/icke/traderv4/cluster/v9_advanced_coordinator.py` 2. Comment out time restriction: ```python 'worker2': { # 'time_restricted': True, # DISABLED FOR URGENT SWEEP 'allowed_start_hour': 19, 'allowed_end_hour': 6, } ``` 3. Restart coordinator: `pkill -f v9_advanced_coordinator && nohup python3 -u v9_advanced_coordinator.py >> v9_advanced_coordinator.log 2>&1 &` ### Adjust Operating Hours To change worker2 hours (e.g., 20:00-05:00): ```python 'worker2': { 'time_restricted': True, 'allowed_start_hour': 20, # 8 PM 'allowed_end_hour': 5, # 5 AM } ``` Then restart coordinator. --- ## Git Commits Changes committed and pushed to repository: 1. **f40fd66** - `feat: Add time-restricted scheduling for worker2` - Worker configuration with time restrictions - Coordinator loop integration 2. **f2f2992** - `fix: Add is_worker_allowed_to_run function definition` - Time validation function implementation 3. **0babd1e** - `docs: Add worker2 time restriction documentation` - Complete guide (WORKER2_TIME_RESTRICTION.md) --- ## Next Steps ### Tonight (19:00 - After Hours) - Worker2 will automatically activate at 19:00 - Monitor first few chunks to ensure smooth operation - Check logs: `tail -f v9_advanced_coordinator.log | grep worker2` ### Tomorrow Morning (06:00) - Verify worker2 stopped automatically at 06:00 - Check overnight progress: How many chunks completed? - Confirm office remains quiet during work hours ### Weekly Monitoring - Track worker2 contribution rate (chunks/night) - Compare worker1 24/7 vs worker2 11h/day productivity - Adjust hours if needed based on office schedule --- ## Support **Files Modified:** - `/home/icke/traderv4/cluster/v9_advanced_coordinator.py` - Time restriction logic - `/home/icke/traderv4/cluster/exploration.db` - Reset stuck chunk 14 **Documentation:** - `/home/icke/traderv4/cluster/WORKER2_TIME_RESTRICTION.md` - Complete guide - `/home/icke/traderv4/cluster/STATUS_REPORT_DEC4_2025.md` - This report **Key Personnel:** - Implementation: AI Agent (Dec 4, 2025) - Requirement: User (noise constraint 06:00-19:00) --- ## Conclusion ✅ **Worker2 time restriction successfully implemented** ✅ **Stuck chunk 14 resolved** ✅ **Worker1 continues 24/7 processing** ⏸️ **Worker2 waiting for 19:00 to start** 📊 **Sweep progress: 3.8% (64/1693 chunks)** System operating as expected. Worker2 will automatically activate tonight at 19:00 and process chunks until 06:00 tomorrow morning. Office hours remain quiet while maintaining sweep progress through worker1.