Files
foxhunt/ml/Cargo.toml
jgrusewski 3c0f308fdb 📦 Wave 112: Dependency updates and optimizations
- Updated Cargo.lock with latest compatible versions
- ML crate: Added async-stream 0.3 for stream processing
- Trading engine: Updated audit trail dependencies
- Storage crate: Dependency cleanup and optimization
- API gateway load tests: Added benchmarking dependencies
- All dependency updates tested with clean compilation
2025-10-05 19:44:49 +02:00

162 lines
5.0 KiB
TOML

[package]
name = "ml"
version.workspace = true
edition.workspace = true
rust-version.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
homepage.workspace = true
documentation.workspace = true
publish.workspace = true
keywords.workspace = true
categories.workspace = true
[features]
# MINIMAL features for HFT inference only - ALL HEAVY ML REMOVED
default = ["minimal-inference"]
# PRODUCTION FEATURES - LIGHTWEIGHT ONLY
minimal-inference = [] # Minimal inference with no optional deps
financial = [] # Basic financial calculations
high-precision = ["rust_decimal/serde-float"]
# PERFORMANCE FEATURES - NO HEAVY ML
simd = [] # SIMD without heavy dependencies
# Storage and memory management features
gc = [] # Garbage collection features
s3-storage = ["aws-config", "aws-sdk-s3", "aws-types", "aws-credential-types", "urlencoding"] # S3 storage backend with AWS SDK
cuda = ["candle-core/cuda", "candle-core/cudnn"] # CUDA support - OPTIONAL for CI/Docker
# ALL HEAVY ML FEATURES REMOVED:
# gpu, pytorch, linfa-ml - MOVED TO ml_training_service
# optimization, graph-models, reinforcement-learning - MOVED TO ml_training_service
# transformers-advanced - MOVED TO ml_training_service
[dependencies]
# Core async and utilities
tokio.workspace = true
futures.workspace = true
async-trait.workspace = true
# Serialization and error handling
serde.workspace = true
serde_json.workspace = true
uuid.workspace = true
thiserror.workspace = true
anyhow.workspace = true
# System and I/O
memmap2.workspace = true
tempfile.workspace = true
tracing.workspace = true
prometheus.workspace = true
reqwest.workspace = true
# Internal workspace crates
trading_engine.workspace = true
config.workspace = true
common.workspace = true
risk = { path = "../risk" }
# Model loading functionality is in storage crate
storage = { path = "../storage" }
# Essential ML frameworks for HFT inference - CUDA OPTIONAL (enable via 'cuda' feature)
candle-core = { version = "0.9" } # CPU-only by default, add 'cuda' feature for GPU
candle-nn = { version = "0.9" }
candle-optimisers = { version = "0.9" }
# HEAVY ML FRAMEWORKS REMOVED - MOVED TO ml_training_service
# ort (ONNX Runtime) - REMOVED (1000+ dependencies alone!)
# tch, torch-sys (PyTorch bindings) - REMOVED (500+ dependencies!)
# Mathematical libraries
# BLAS feature temporarily disabled - requires libopenblas-dev installation
# TODO: Re-enable after running: sudo apt-get install -y libopenblas-dev
ndarray = { version = "0.15", features = ["rayon", "serde"] }
nalgebra = { version = "0.33", features = ["serde-serialize"] }
arrayfire = { version = "3.8", optional = true }
# MINIMAL statistics only - ALL HEAVY ML ALGORITHMS REMOVED
# linfa ecosystem (linfa, linfa-clustering, linfa-linear, linfa-reduction) - REMOVED (200+ deps)
# smartcore - REMOVED (100+ dependencies)
# Basic statistics - always included (not optional)
statrs.workspace = true # Required for statistical computations
rust_decimal.workspace = true
# gymnasium, rerun - REMOVED (RL frameworks moved to ml_training_service)
# cudarc, wgpu - REMOVED (GPU frameworks moved to ml_training_service)
rayon.workspace = true
crossbeam = { version = "0.8", features = ["std"] }
petgraph = { version = "0.6", features = ["serde"] } # Required for TGNN graphs
semver = "1.0"
lru.workspace = true # Required for model caching
# chronoutil, ta, polars - REMOVED or moved to workspace dependencies
# argmin, nlopt, ipopt - REMOVED (optimization frameworks moved to ml_training_service)
half = { version = "2.6.0", features = ["serde"] }
rand = { version = "0.8.5", features = ["small_rng", "getrandom"] }
rand_distr.workspace = true
chrono = { version = "0.4.38", features = ["serde", "clock"] }
parking_lot = { version = "0.12", features = ["hardware-lock-elision"] }
dashmap = { version = "6.1", features = ["serde"] }
once_cell = "1.19"
lazy_static.workspace = true
flate2 = "1.0"
sha2 = "0.10"
bincode = "1.3"
fastrand = "2.1"
# wide - REMOVED (SIMD moved to trading_engine)
num-traits = "0.2"
num = "0.4"
libc = "0.2"
fs2 = "0.4"
num_cpus = "1.16"
approx.workspace = true
sysinfo = "0.33" # System information for benchmarks
# AWS SDK dependencies for S3 checkpoint storage (optional, s3-storage feature)
aws-config = { version = "1.1", optional = true }
aws-sdk-s3 = { version = "1.14", optional = true }
aws-types = { version = "1.1", optional = true }
aws-credential-types = { version = "1.1", optional = true }
urlencoding = { version = "2.1", optional = true }
[dev-dependencies]
tokio-test = "0.4"
proptest = "1.5"
tempfile = "3.12"
futures-test = "0.3"
mockall = "0.13"
test-case = "3.0"
rstest = "0.22"
criterion = { version = "0.5", features = ["html_reports", "async_tokio"] }
tokio = { workspace = true, features = ["test-util", "macros"] }
insta = "1.34" # Snapshot testing for ML outputs
serial_test = "3.0" # Sequential testing for GPU resources
tracing-subscriber = { version = "0.3", features = ["env-filter", "fmt"] }
[[example]]
name = "cuda_test"
path = "examples/cuda_test.rs"
[lints]
workspace = true