565414c5e0
- Introduced a new trading dashboard consisting of a FastAPI backend (`dashboard-api`) for data retrieval and a React frontend (`dashboard-ui`) for visualization. - Implemented a log parser to monitor and store bot logs in an SQLite database. - Configured Docker setup for both API and UI, including necessary Dockerfiles and a docker-compose configuration. - Added setup documentation for running the dashboard and accessing its features. - Enhanced the Jenkins pipeline to build and push the new dashboard images.
25 lines
569 B
Python
25 lines
569 B
Python
import sys
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from loguru import logger
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def setup_logger(log_level: str = "INFO"):
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logger.remove()
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logger.add(
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sys.stdout,
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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>{line}</cyan> - "
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"<level>{message}</level>"
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),
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level=log_level,
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colorize=True,
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)
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logger.add(
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"logs/bot.log",
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rotation="00:00",
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retention="30 days",
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level="DEBUG",
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encoding="utf-8",
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)
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