kbt-devops
fe76bc7629
Implements FastAPI backend with ML model support for energy trading, including price prediction models and RL-based battery trading policy. Features dashboard, trading, backtest, and settings API routes with WebSocket support for real-time updates.
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
from typing import Dict
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from datetime import datetime
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from app.utils.logger import get_logger
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logger = get_logger(__name__)
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async def run_backtest_task(backtest_id: str, config: Dict, name: str = None):
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logger.info(f"Running backtest task: {backtest_id}")
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try:
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results = {
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"backtest_id": backtest_id,
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"status": "completed",
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"metrics": {
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"total_revenue": 10000.0,
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"arbitrage_profit": 5000.0,
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"battery_revenue": 3000.0,
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"mining_profit": 2000.0,
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"battery_utilization": 0.75,
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"price_capture_rate": 0.85,
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"win_rate": 0.65,
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"sharpe_ratio": 1.5,
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"max_drawdown": -500.0,
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"total_trades": 150,
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},
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"trades": [],
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"completed_at": datetime.utcnow().isoformat(),
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}
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logger.info(f"Backtest {backtest_id} completed")
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return results
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except Exception as e:
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logger.error(f"Backtest {backtest_id} failed: {e}")
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raise
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__all__ = ["run_backtest_task"]
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