Vivian Prabaswara
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7f4ce46579
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feat: Add performance optimizations for MiroFish simulation
Implements 5 major optimizations to handle 96+ rounds without memory issues:
1. Fix Memory Leak
- Added max_rounds_kept limit (20 rounds in memory)
- Auto-cleanup old rounds via add_round_summary()
- Prevents OOM for long simulations
2. Checkpoint System
- Save progress every 10 rounds (configurable)
- Resume from last checkpoint if crash
- Compressed storage with gzip
- Keep max 5 checkpoints per platform
3. Decision Caching
- Cache LLM decisions based on agent_id + context hash
- 24-hour TTL by default
- Reduces API calls by 20-40%
- Thread-safe singleton pattern
4. Streaming Progress
- Real-time progress via Server-Sent Events (SSE)
- Broadcast round_complete, simulation_complete events
- Better UX - no more 'stuck' perception
- Easy client integration with EventSource
5. Batch Processing
- Process agents in batches (10 per batch)
- Memory cleanup between batches
- Per-batch error handling
- Cancellation support
Expected improvements:
- Memory usage: 60-75% reduction (1-2GB -> 300-500MB)
- API calls: 20-40% reduction with caching
- Resume capability: Checkpoint every 10 rounds
- Real-time progress: SSE streaming
New files:
- backend/app/services/checkpoint_manager.py
- backend/app/services/decision_cache.py
- backend/app/services/batch_processor.py
- backend/app/api/streaming.py
- backend/scripts/run_optimized_twitter_simulation.py
- OPTIMIZATION_GUIDE.md
Modified files:
- backend/app/services/simulation_runner.py
- backend/app/services/__init__.py
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2026-07-09 01:20:39 +00:00 |