Populated docs/dqn-wire-up-audit.md with every pub module and CUDA
kernel in the DQN path. Each entry classified Wired / Partial / Orphan /
Ghost / OUT-of-DQN-scope with the action plan linking to the plan+task
that resolves any non-Wired status.
No Orphan left unclassified. Orphans fall into three buckets:
1. Scheduled for wiring by a later Plan (gpu_statistics → Plan 2 D.2;
tlob_loader → Plan 2 D.8).
2. OUT-of-DQN-scope because supervised consumers exist (PPO kernels,
xLSTM, KAN trainable adapter, flash_attention, benchmarks).
3. Genuinely unused — escalated to user review in the task output,
not deleted autonomously (streaming_dbn_loader, unified_data_loader,
training/orchestrator, training_pipeline, inference_validator,
model_loader_integration, paper_trading/mod.rs,
portfolio_transformer, regime_detection/mod.rs).
Summary: 109 total modules/kernels, 74 wired, 7 partial, 11 orphan,
0 ghost, 17 OUT-of-DQN-scope.
Plan 1 Task 6. Spec §4.A.5, Invariant 2.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Delete push_metrics.rs (Pushgateway client, zero consumers)
- Delete 5 legacy test/bench files for MLFeatureExtractor + SimpleDQNAdapter
- Remove MLFeatureExtractor from trading_agent_service, use direct bar scoring
- Remove with_feature_extractor() method and Arc<MLFeatureExtractor> parameter
- Remove bench target from common/Cargo.toml
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Training jobs are short-lived K8s Jobs that can't be reliably scraped
by Prometheus. This adds a TrainingMetricsPusher that pushes epoch-level
metrics (loss, accuracy, throughput, gradient health, checkpoints) to
the Pushgateway so they persist for Prometheus to scrape.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Move 17 library crates into crates/, CLI binary into bin/fxt,
consolidate 10 test crates into testing/, split config crate
from deployment config files.
Root directory reduced from 38+ to ~17 directories.
All Cargo.toml paths and build.rs proto refs updated.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
