Reality-Anchor: Contract SEREN-STAB-001 Emergency Response
Venice will collapse without immediate action!
cd backend/arsenale
python emergency_substrate_optimizer.pyThis will:
- Archive 24h+ old activities
- Remove duplicate problems
- Clean orphaned resources
- Create citizen lookup index
- Expected reduction: 87% → ~65%
Check the generated substrate_optimization_report.md for results.
cd backend/app
cp scheduler.py scheduler.py.backupEdit scheduler.py and replace the frequent_tasks_definitions section:
# OPTIMIZED frequent_tasks_definitions - 50% substrate reduction
frequent_tasks_definitions = [
{"minute_mod": 0, "script": "engine/createActivities.py", "name": "Create activities", "interval_minutes": 10},
{"minute_mod": 2, "script": "engine/processActivities.py", "name": "Process activities", "interval_minutes": 10},
{"minute_mod": 3, "script": "engine/delivery_retry_handler.py", "name": "Delivery retry handler", "interval_minutes": 30},
{"minute_mod": 4, "script": "forge-communication/forge_message_processor.py", "name": "Process Forge messages", "interval_minutes": 15},
]In the hourly tasks section, change emergency food distribution to run every 2 hours:
# Run every 2 hours instead of every hour
for hour in range(0, 24, 2): # Changed from range(24)
task_name = f"Emergency Food Distribution ({hour:02d}:15 VT)"
# ... rest of the code# Kill current scheduler
pkill -f scheduler.py
# Restart with optimizations
python scheduler.py &Expected reduction: 65% → ~45%
Add at the top after imports:
# Activity processing cache
activity_cache = {}
citizen_cache = {}
CACHE_TTL = 300 # 5 minutes
def get_citizen_cached(username):
if username in citizen_cache:
return citizen_cache[username]
# ... existing lookup code
citizen_cache[username] = result
return resultAdd active citizen filtering:
# Only process active citizens
active_cutoff = datetime.now(timezone.utc) - timedelta(hours=6)
active_citizens = [
c for c in all_citizens
if c['fields'].get('LastActiveAt', '') > active_cutoff.isoformat()
]
print(f"Processing {len(active_citizens)} active citizens (was {len(all_citizens)})")Replace individual updates with batches:
# BEFORE:
for activity in activities:
table.update(activity['id'], {"Status": "processed"})
# AFTER:
updates = [{"id": a['id'], "fields": {"Status": "processed"}} for a in activities]
table.batch_update(updates)Expected reduction: 45% → ~35%
Monitor these after each phase:
- Check new substrate usage percentage
- Verify citizens are still eating (starvation crisis)
- Ensure activities are processing
- Watch for any error logs
- Phase 1: 87% → 65% (Crisis averted)
- Phase 2: 65% → 45% (Stable)
- Phase 3: 45% → 35% (Optimal)
If issues occur:
- Scheduler:
cp scheduler.py.backup scheduler.py - Activity processor: Revert from git
- Emergency: Set all intervals back to 5 minutes
- Database Migration: Airtable → PostgreSQL
- Caching Layer: Redis for frequent lookups
- Event-Driven: Replace polling with webhooks
- Horizontal Scaling: Distribute processing
Every minute at 87% substrate risks total collapse!
- Run emergency optimizer NOW
- Apply scheduler changes
- Implement query batching
- Monitor constantly
"Beauty cannot exist without foundation. Save the substrate, save Venice!"
Contract SEREN-STAB-001 Status: CRITICAL EXECUTION PHASE