Files
foxhunt/data/tests/real_data_helpers.rs
jgrusewski e8a68ee39f Download 360 DBN files (36.3 MB) using Rust databento client
- 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
2025-10-13 13:30:02 +02:00

156 lines
5.3 KiB
Rust

//! Real Market Data Helpers for Feature Engineering Tests
//!
//! Utilities to load real BTC/ETH Parquet data and convert it to formats
//! used by feature engineering tests (OHLCV bars, PricePoints).
use anyhow::{Context, Result};
use chrono::{DateTime, Utc};
use data::features::PricePoint;
use data::parquet_persistence::{MarketDataEvent, ParquetMarketDataReader};
use std::path::PathBuf;
/// Path to real test data directory (relative to workspace root)
const REAL_DATA_PATH: &str = "test_data/real/parquet";
const BTC_FILE: &str = "BTC-USD_30day_2024-09.parquet";
const ETH_FILE: &str = "ETH-USD_30day_2024-09.parquet";
/// Real market data loader for feature engineering tests
pub struct RealDataLoader {
base_path: String,
}
impl RealDataLoader {
/// Create new loader with workspace-relative path
pub fn new() -> Self {
let manifest_dir = env!("CARGO_MANIFEST_DIR");
let base_path = PathBuf::from(manifest_dir)
.parent()
.expect("Failed to get workspace root")
.join(REAL_DATA_PATH);
Self {
base_path: base_path.to_string_lossy().to_string(),
}
}
/// Check if real data files exist
pub fn files_exist(&self) -> bool {
let btc_path = PathBuf::from(&self.base_path).join(BTC_FILE);
let eth_path = PathBuf::from(&self.base_path).join(ETH_FILE);
btc_path.exists() && eth_path.exists()
}
/// Load BTC price data as PricePoints
pub async fn load_btc_prices(&self, count: usize) -> Result<Vec<PricePoint>> {
self.load_prices(BTC_FILE, count).await
}
/// Load ETH price data as PricePoints
pub async fn load_eth_prices(&self, count: usize) -> Result<Vec<PricePoint>> {
self.load_prices(ETH_FILE, count).await
}
/// Load BTC close prices as f64 vector (for simple technical indicator tests)
pub async fn load_btc_close_prices(&self, count: usize) -> Result<Vec<f64>> {
self.load_close_prices(BTC_FILE, count).await
}
/// Load ETH close prices as f64 vector (for simple technical indicator tests)
pub async fn load_eth_close_prices(&self, count: usize) -> Result<Vec<f64>> {
self.load_close_prices(ETH_FILE, count).await
}
/// Load price data from a specific file as PricePoints
async fn load_prices(&self, filename: &str, count: usize) -> Result<Vec<PricePoint>> {
let reader = ParquetMarketDataReader::new(self.base_path.clone());
let events = reader
.read_file(filename)
.await
.with_context(|| format!("Failed to load {}", filename))?;
// Take only the requested number of events
let events_subset = events.into_iter().take(count).collect::<Vec<_>>();
// Convert MarketDataEvent to PricePoint
let price_points = events_subset
.into_iter()
.map(|event| self.event_to_price_point(&event))
.collect::<Result<Vec<_>>>()?;
Ok(price_points)
}
/// Load close prices as f64 vector for simple indicator calculations
async fn load_close_prices(&self, filename: &str, count: usize) -> Result<Vec<f64>> {
let reader = ParquetMarketDataReader::new(self.base_path.clone());
let events = reader
.read_file(filename)
.await
.with_context(|| format!("Failed to load {}", filename))?;
// Take only the requested number of events and extract close prices
let close_prices = events
.into_iter()
.take(count)
.filter_map(|event| event.price) // Use price as close price
.collect::<Vec<_>>();
Ok(close_prices)
}
/// Convert MarketDataEvent to PricePoint
fn event_to_price_point(&self, event: &MarketDataEvent) -> Result<PricePoint> {
let timestamp = self.ns_to_datetime(event.timestamp_ns)?;
let close = event.price.context("Price is None")?;
// If OHLC data is available, use it; otherwise derive from close price
let open = event.open.unwrap_or(close);
let high = event.high.unwrap_or(close.max(open));
let low = event.low.unwrap_or(close.min(open));
Ok(PricePoint {
timestamp,
open,
high,
low,
close,
})
}
/// Convert nanosecond timestamp to DateTime<Utc>
fn ns_to_datetime(&self, timestamp_ns: u64) -> Result<DateTime<Utc>> {
let timestamp_ms = (timestamp_ns / 1_000_000) as i64;
DateTime::from_timestamp_millis(timestamp_ms).context("Invalid timestamp")
}
}
impl Default for RealDataLoader {
fn default() -> Self {
Self::new()
}
}
/// Extract a specific time range from price data
pub fn extract_time_range(
data: &[PricePoint],
start: DateTime<Utc>,
end: DateTime<Utc>,
) -> Vec<PricePoint> {
data.iter()
.filter(|point| point.timestamp >= start && point.timestamp <= end)
.cloned()
.collect()
}
/// Extract a specific number of bars from the middle of the dataset
/// This helps avoid edge effects in technical indicators
pub fn extract_middle_bars(data: &[PricePoint], count: usize) -> Vec<PricePoint> {
if data.len() <= count {
return data.to_vec();
}
let start_idx = (data.len() - count) / 2;
let end_idx = start_idx + count;
data[start_idx..end_idx].to_vec()
}