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>
17 lines
689 B
Rust
17 lines
689 B
Rust
//! Integration Tests Module
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//!
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//! This module contains comprehensive integration tests for the ML Training Service.
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//!
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//! **Test Suites:**
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//! - End-to-End Batch Workflow: Complete workflow from submission to completion
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//! - Database Integration: Migration 046 validation, foreign keys, triggers
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//! - gRPC API Integration: RPC methods, streaming, concurrent clients
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//! - Real Data Integration: Parquet file discovery and training
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//! - Failure Recovery: Error handling, reconnection, partial completion
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pub mod end_to_end_batch_workflow_test;
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pub mod database_integration_test;
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pub mod grpc_api_integration_test;
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pub mod real_data_integration_test;
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pub mod failure_recovery_test;
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