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.

dashboard/api/entrypoint.sh

@@ -0,0 +1,18 @@
+#!/bin/bash
+set -e
+
+echo "=== Trading Dashboard ==="
+echo "LOG_DIR=${LOG_DIR:-/app/logs}"
+echo "DB_PATH=${DB_PATH:-/app/data/dashboard.db}"
+
+# 로그 파서를 백그라운드로 실행
+python log_parser.py &
+PARSER_PID=$!
+echo "Log parser started (PID: $PARSER_PID)"
+
+# 파서가 기존 로그를 처리할 시간 부여
+sleep 3
+
+# FastAPI 서버 실행
+echo "Starting API server on :8080"
+exec uvicorn dashboard_api:app --host 0.0.0.0 --port 8080 --log-level info