trading_bot_v4/cluster/STATUS_REPORT_DEC4_2025.md

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:

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

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:

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

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)

$ 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

$ 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

# 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

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

# 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

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:

'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):

'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.