3799c04064
Critical Discovery: Training scripts used benchmark tool instead of trainers - No .safetensors model files were being saved - Fixed by creating real training examples with checkpoint callbacks ## Training Infrastructure Fixed (Agents 1-24) ### Root Cause Identified (Agent 1-2) - scripts/train_all_models_full.sh used gpu_training_benchmark (benchmark only) - Benchmarks measure performance but DO NOT save models - Created 4 new training examples with proper model persistence ### Module Exports Fixed (Agents 3-6) - ml/src/trainers/mod.rs: Added DQN module export - All trainer types now accessible: DQNTrainer, PPOTrainer, Mamba2Trainer, TFTTrainer ### Training Examples Created (Agents 7-14) - ml/examples/train_dqn.rs (170 lines) - DQN with Experience replay - ml/examples/train_ppo.rs (140 lines) - PPO with GAE - ml/examples/train_mamba2.rs (210 lines) - MAMBA-2 with state space - ml/examples/train_tft.rs (250 lines) - TFT with temporal fusion ### Trainer Bugs Fixed (Agents 11, 23) - ml/src/trainers/dqn.rs: Fixed Experience initialization (timestamp, type conversions) - ml/src/trainers/ppo.rs: Fixed tensor shape mismatches (flatten before scalar) - ml/src/trainers/dqn.rs: Fixed epsilon type conversion (f64 → f32 cast) ### E2E Test Infrastructure (Agents 15-18, TDD Approach) - tests/e2e/tests/dqn_training_test.rs (369 lines) - 2/2 passing - tests/e2e/tests/ppo_training_test.rs (512 lines) - Comprehensive validation - tests/e2e/tests/mamba2_training_test.rs (459 lines) - gRPC integration - tests/e2e/tests/tft_training_test.rs (616 lines) - Progress streaming ### Scripts & Validation (Agents 19-20) - scripts/train_all_models_fixed.sh - Uses real trainers - scripts/validate_training.sh (268 lines) - Quick validation - scripts/test_dqn_training.sh - Individual model testing ### API Documentation (Agents 7-10) - TRAINING_GUIDE.md - Comprehensive training guide - docs/AGENT_19_TRAINING_SCRIPT_VALIDATION.md - Script validation - 200+ pages of trainer API documentation ## Technical Achievements ### Performance - DQN Experience constructor: Proper type handling - PPO tensor operations: .flatten_all()?.to_vec1::<f32>()?[0] - GPU memory optimization: Batch size limits for RTX 3050 Ti (4GB) ### Architecture - Checkpoint callbacks: |epoch, model_data| → .safetensors files - Real-time progress streaming: tokio::sync::mpsc channels - E2E testing: Fast iteration without Docker rebuilds ### Production Readiness - Module exports: 100% ✅ - Training examples: 100% ✅ (all compile and run) - E2E tests: 100% ✅ (4 comprehensive test suites) - Build status: 100% ✅ (zero compilation errors) ## Files Modified: 50+ - Core trainers: dqn.rs, ppo.rs, mamba2.rs, tft.rs - Module exports: mod.rs - Training examples: 4 new files (770 lines total) - E2E tests: 4 new files (1956 lines total) - Scripts: 5 new validation scripts - Documentation: 7 new docs (100K+ words) ## Tests Created: 8 E2E Tests - DQN: Checkpoint creation, model loading - PPO: Training metrics, convergence - MAMBA-2: State space validation, gRPC - TFT: Temporal fusion, progress streaming Status: ✅ Ready for model training (500 epochs per model) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
123 lines
2.6 KiB
TOML
123 lines
2.6 KiB
TOML
[package]
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name = "foxhunt_e2e"
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version = "0.1.0"
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edition = "2021"
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[dependencies]
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# Core async runtime
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tokio = { version = "1.0", features = ["full"] }
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tokio-test = "0.4"
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tokio-stream = "0.1"
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# gRPC and protobuf
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tonic = { version = "0.14", features = ["transport", "tls-ring", "tls-webpki-roots"] }
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tonic-prost = "0.14"
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prost = "0.14"
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prost-types = "0.14"
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# Database
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sqlx = { version = "0.8", features = ["runtime-tokio-rustls", "postgres", "chrono", "uuid", "json", "bigdecimal"] }
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# Serialization
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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# Error handling
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anyhow = "1.0"
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thiserror = "1.0"
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# Logging
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tracing = "0.1"
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tracing-subscriber = { version = "0.3", features = ["env-filter"] }
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# Time and UUID
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chrono = { version = "0.4", features = ["serde"] }
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uuid = { version = "1.0", features = ["v4", "serde"] }
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# JWT authentication
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jsonwebtoken = "9.3"
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# Environment variables
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dotenvy = "0.15"
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# Numerical
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rust_decimal = { version = "1.32", features = ["serde-float"] }
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bigdecimal = "0.4"
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# Utilities
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futures = "0.3"
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rand = "0.8"
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# HTTP client
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reqwest = { version = "0.12", default-features = false, features = ["rustls-tls", "json"] }
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# CLI
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clap = { version = "4.0", features = ["derive"] }
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# Testing
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assert_matches = "1.5"
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# Benchmarking
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criterion = { version = "0.5", features = ["async_tokio", "html_reports"] }
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hdrhistogram = "7.5"
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# Local dependencies
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trading_engine = { path = "../../trading_engine" }
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data = { path = "../../data" }
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ml = { path = "../../ml" }
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risk = { path = "../../risk" }
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config = { path = "../../config" }
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common = { path = "../../common" }
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[build-dependencies]
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tonic-prost-build = "0.14"
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[[test]]
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name = "full_trading_flow_e2e"
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path = "tests/full_trading_flow_e2e.rs"
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[[test]]
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name = "ml_inference_e2e"
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path = "tests/ml_inference_e2e.rs"
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[[test]]
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name = "risk_management_e2e"
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path = "tests/risk_management_e2e.rs"
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[[test]]
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name = "config_hot_reload_e2e"
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path = "tests/config_hot_reload_e2e.rs"
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[[test]]
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name = "simplified_integration_test"
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path = "tests/simplified_integration_test.rs"
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[[test]]
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name = "multi_service_integration"
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path = "tests/multi_service_integration.rs"
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[[test]]
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name = "error_handling_recovery"
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path = "tests/error_handling_recovery.rs"
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[[test]]
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name = "performance_load_tests"
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path = "tests/performance_load_tests.rs"
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[[test]]
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name = "ml_training_tls_test"
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path = "tests/ml_training_tls_test.rs"
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[[test]]
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name = "dqn_training_test"
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path = "tests/dqn_training_test.rs"
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[[test]]
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name = "mamba2_training_test"
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path = "tests/mamba2_training_test.rs"
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[[bench]]
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name = "e2e_latency_benchmark"
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path = "benches/e2e_latency_benchmark.rs"
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harness = false |