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.
37 lines
862 B
Python
37 lines
862 B
Python
import os
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from loguru import logger
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import sys
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def get_logger(name: str):
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"""Get a configured logger instance."""
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return logger.bind(name=name)
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def setup_logger():
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"""Setup loguru logger configuration."""
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logger.remove()
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log_format = (
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"<green>{time:YYYY-MM-DD HH:mm:ss}</green> | "
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"<level>{level: <8}</level> | "
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"<cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> | "
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"<level>{message}</level>"
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)
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logger.add(
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sys.stdout,
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format=log_format,
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level=os.getenv("LOG_LEVEL", "INFO"),
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colorize=True,
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)
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logger.add(
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"logs/app.log",
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format="{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {name}:{function}:{line} | {message}",
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level="DEBUG",
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rotation="10 MB",
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retention="7 days",
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compression="zip",
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)
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