7458f1be01
✅ Validation Results: - PPO training: 24.2s (1 epoch, 950 samples, dim=225) - Feature extraction: 105μs/bar (9.5x faster than target) - Model checkpoint: 293KB (147KB actor + 146KB critic) - GPU memory: 145MB used (96.4% headroom) - Zero dimension mismatches 📊 Success Criteria (5/5): ✅ Feature dimension = 225 (Wave C 201 + Wave D 24) ✅ Model state_dim = 225 ✅ Training completed without errors ✅ Checkpoint saved successfully ✅ No dimension mismatch errors 📁 Training Data Ready: - ES.FUT: 2.9MB, 180 days - NQ.FUT: 4.4MB, 180 days - 6E.FUT: 2.8MB, 180 days - ZN.FUT: 65KB, 90 days (clean) 🚀 Next: Full production model retraining (4 models, ~10min GPU time) 🤖 Generated with Claude Code (https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
55 lines
1.3 KiB
YAML
55 lines
1.3 KiB
YAML
version: '3.8'
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# Docker Compose for Integration Tests
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# Provides isolated PostgreSQL and Redis containers for testing
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services:
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# PostgreSQL with TimescaleDB for time-series data
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postgres-test:
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image: timescale/timescaledb:latest-pg16
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container_name: foxhunt-postgres-test
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environment:
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POSTGRES_USER: foxhunt_test
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POSTGRES_PASSWORD: foxhunt_test_password
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POSTGRES_DB: foxhunt_test
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POSTGRES_INITDB_ARGS: "-E UTF8 --locale=en_US.UTF-8"
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ports:
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- "5433:5432" # Different port to avoid conflicts
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volumes:
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- postgres-test-data:/var/lib/postgresql/data
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- ../../migrations:/docker-entrypoint-initdb.d
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U foxhunt_test"]
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interval: 5s
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timeout: 5s
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retries: 5
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networks:
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- test-network
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# Redis for job queue persistence
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redis-test:
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image: redis:7-alpine
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container_name: foxhunt-redis-test
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ports:
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- "6380:6379" # Different port to avoid conflicts
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command: redis-server --appendonly yes
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volumes:
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- redis-test-data:/data
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 5s
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timeout: 3s
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retries: 5
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networks:
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- test-network
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volumes:
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postgres-test-data:
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driver: local
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redis-test-data:
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driver: local
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networks:
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test-network:
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driver: bridge
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