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>
34 lines
610 B
YAML
34 lines
610 B
YAML
apiVersion: v1
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kind: Service
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metadata:
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name: api-gateway
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namespace: foxhunt
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labels:
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app: api-gateway
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component: gateway
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tier: frontend
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annotations:
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prometheus.io/scrape: "true"
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prometheus.io/port: "9091"
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spec:
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type: LoadBalancer
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sessionAffinity: ClientIP
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sessionAffinityConfig:
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clientIP:
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timeoutSeconds: 10800
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selector:
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app: api-gateway
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ports:
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- name: grpc
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port: 50051
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targetPort: 50051
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protocol: TCP
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- name: metrics
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port: 9091
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targetPort: 9091
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protocol: TCP
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- name: health
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port: 8080
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targetPort: 8080
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protocol: TCP
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