e8a68ee39f
- Created data/examples/download_ml_training_data.rs using reqwest + Databento HTTP API - Downloaded 90 days × 4 symbols (ES.FUT, NQ.FUT, ZN.FUT, 6E.FUT) - Files saved to test_data/real/databento/ml_training/ - Total: 360 files, 15 MB compressed DBN format - Used existing Rust pattern from download_nq_fut.rs - API key loaded from .env file - 100% success rate (360/360 files) - Ready for ML training benchmarks Next: Create simplified training benchmark for RTX 3050 Ti GPU measurements
60 lines
1.2 KiB
TOML
60 lines
1.2 KiB
TOML
[package]
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name = "integration_tests"
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version.workspace = true
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edition.workspace = true
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rust-version.workspace = true
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publish = false
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[dependencies]
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# Async runtime
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tokio = { workspace = true, features = ["rt-multi-thread", "macros", "time"] }
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futures.workspace = true
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# gRPC client
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tonic = { workspace = true }
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tonic-prost.workspace = true
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prost = { workspace = true }
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# HTTP client for metrics scraping
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reqwest = { workspace = true, features = ["json"] }
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# Serialization
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serde = { workspace = true, features = ["derive"] }
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serde_json.workspace = true
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# JWT for authentication
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jsonwebtoken.workspace = true
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# Error handling
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anyhow.workspace = true
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thiserror.workspace = true
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# Logging
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tracing.workspace = true
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# UUID
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uuid = { workspace = true, features = ["v4"] }
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# Time handling
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chrono = { workspace = true }
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# Environment variables
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dotenvy = "0.15"
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# Constructor hooks for test initialization
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ctor = "0.2"
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# DBN data for real market data
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dbn = "0.22"
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rust_decimal = { workspace = true }
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# Backtesting service for DBN data source
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backtesting_service = { path = "../backtesting_service" }
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[dev-dependencies]
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# Test utilities
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serial_test.workspace = true
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[build-dependencies]
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tonic-prost-build.workspace = true
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