feat: add trading dashboard with API and UI components

- 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.

src/logger_setup.py

@@ -16,7 +16,7 @@ def setup_logger(log_level: str = "INFO"):
         colorize=True,
     )
     logger.add(
-        "logs/bot_{time:YYYY-MM-DD}.log",
+        "logs/bot.log",
         rotation="00:00",
         retention="30 days",
         level="DEBUG",