d8d51aa2d0
All 6 service Dockerfiles were missing newly-added workspace crates (web-gateway, ctrader-openapi, foxhunt-deploy, broker_gateway_service), causing cargo workspace resolution failures during Docker builds. Changes across all Dockerfiles: - Add COPY directives for web-gateway, ctrader-openapi, foxhunt-deploy, broker_gateway_service (new workspace members since Dockerfiles written) - Add SQLX_OFFLINE=true env and .sqlx cache copy where missing - Add perl and make system deps (needed for OpenSSL build from source) - Remove COPY migrations (dir excluded by .dockerignore, not needed) - Expand broker_gateway_service from 3-crate to full workspace copy Validated: docker build --check passes all 6, cargo check -p passes all 6. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
ml_training_service
Model training orchestration and lifecycle management for the Foxhunt HFT trading system. Manages training jobs for DQN, PPO, TFT, Mamba2, TLOB, and Liquid models with progress tracking, resource allocation, and model artifact storage.
Building
# Default (minimal features)
cargo build --release -p ml_training_service
# With GPU acceleration (requires CUDA)
cargo build --release -p ml_training_service --features gpu
# With mock training data (testing only, bypasses database)
cargo build --release -p ml_training_service --features mock-data
Features
| Feature | Default | Description |
|---|---|---|
minimal |
Yes | Minimal ML feature set for financial models |
gpu |
No | SIMD GPU acceleration (requires CUDA) |
debug |
No | Additional debug logging |
mock-data |
No | Use mock training data instead of PostgreSQL |
Configuration
The gRPC listen port is set via the GRPC_PORT environment variable. Prometheus metrics are exposed on port 9094.
PostgreSQL (via sqlx) is used for job metadata, training history, and state management. Set the connection string with DATABASE_URL.
Running
GRPC_PORT=50053 DATABASE_URL="postgresql://user:pass@localhost:5432/foxhunt_training" \
./target/release/ml_training_service serve
Testing
# Unit tests (offline, no database required)
SQLX_OFFLINE=true cargo test -p ml_training_service --lib
# Integration tests (requires running PostgreSQL)
cargo test -p ml_training_service