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.
19 lines
466 B
Bash
19 lines
466 B
Bash
#!/bin/bash
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set -e
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echo "=== Trading Dashboard ==="
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echo "LOG_DIR=${LOG_DIR:-/app/logs}"
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echo "DB_PATH=${DB_PATH:-/app/data/dashboard.db}"
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# 로그 파서를 백그라운드로 실행
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python log_parser.py &
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PARSER_PID=$!
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echo "Log parser started (PID: $PARSER_PID)"
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# 파서가 기존 로그를 처리할 시간 부여
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sleep 3
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# FastAPI 서버 실행
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echo "Starting API server on :8080"
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exec uvicorn dashboard_api:app --host 0.0.0.0 --port 8080 --log-level info
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