feat: EwoooC 初始化 — 完整專案推版至 Gitea

- 建立 Gitea Actions CD pipeline (.gitea/workflows/cd.yaml)
- 部署模式: rsync Python 檔案至 188 → docker restart (volume mount)
- Dockerfile/requirements 變動時自動重建 Docker image
- 部署通知: Telegram (開始/成功/失敗)
- 健康檢查: https://mo.wooo.work/health (最多 5 次重試)
- 同步最新 CLAUDE.md / ADR-008 / memory (2026-04-19)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

scripts/tools/database_exporter.py

@@ -0,0 +1,127 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+SQLite 資料庫監控腳本
+收集資料庫狀態、大小、查詢效能等指標
+"""
+
+import sqlite3
+import os
+import time
+from datetime import datetime
+from flask import Flask
+from prometheus_client import Gauge, Counter, Histogram, generate_latest, REGISTRY
+
+app = Flask(__name__)
+
+# 定義 Prometheus 指標
+db_size_bytes = Gauge('sqlite_database_size_bytes', '資料庫檔案大小（bytes）', ['database'])
+db_record_count = Gauge('sqlite_record_count', '資料表記錄總數', ['database', 'table'])
+db_query_duration = Histogram('sqlite_query_duration_seconds', '查詢執行時間', ['query_type'])
+db_connection_errors = Counter('sqlite_connection_errors_total', '連接錯誤總數')
+db_slow_queries = Counter('sqlite_slow_queries_total', '慢查詢總數（>1秒）', ['table'])
+
+# 資料庫路徑
+DATABASE_PATH = '/home/ogt/momo_pro_system/data/momo_database.db'
+
+def get_db_size():
+    """獲取資料庫檔案大小"""
+    try:
+        if os.path.exists(DATABASE_PATH):
+            size = os.path.getsize(DATABASE_PATH)
+            db_size_bytes.labels(database='momo').set(size)
+            return size
+        return 0
+    except Exception as e:
+        print(f"Error getting database size: {e}")
+        return 0
+
+def get_table_counts():
+    """獲取各資料表的記錄數"""
+    try:
+        conn = sqlite3.connect(DATABASE_PATH, timeout=5)
+        cursor = conn.cursor()
+        
+        # 獲取所有資料表
+        cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%'")
+        tables = cursor.fetchall()
+        
+        for (table_name,) in tables:
+            try:
+                start_time = time.time()
+                cursor.execute(f"SELECT COUNT(*) FROM {table_name}")
+                count = cursor.fetchone()[0]
+                duration = time.time() - start_time
+                
+                # 記錄指標
+                db_record_count.labels(database='momo', table=table_name).set(count)
+                db_query_duration.labels(query_type='count').observe(duration)
+                
+                # 檢測慢查詢
+                if duration > 1.0:
+                    db_slow_queries.labels(table=table_name).inc()
+                    
+            except Exception as e:
+                print(f"Error counting table {table_name}: {e}")
+        
+        conn.close()
+        
+    except Exception as e:
+        print(f"Database connection error: {e}")
+        db_connection_errors.inc()
+
+def measure_query_performance():
+    """測試常見查詢的效能"""
+    try:
+        conn = sqlite3.connect(DATABASE_PATH, timeout=5)
+        cursor = conn.cursor()
+        
+        # 測試查詢 1：最近銷售數據
+        start_time = time.time()
+        cursor.execute("SELECT * FROM realtime_sales_monthly ORDER BY 日期 DESC LIMIT 100")
+        cursor.fetchall()
+        duration = time.time() - start_time
+        db_query_duration.labels(query_type='recent_sales').observe(duration)
+        
+        if duration > 1.0:
+            db_slow_queries.labels(table='realtime_sales_monthly').inc()
+        
+        # 測試查詢 2：商品統計
+        start_time = time.time()
+        cursor.execute("SELECT 品牌, COUNT(*) FROM realtime_sales_monthly GROUP BY 品牌 LIMIT 50")
+        cursor.fetchall()
+        duration = time.time() - start_time
+        db_query_duration.labels(query_type='brand_stats').observe(duration)
+        
+        conn.close()
+        
+    except Exception as e:
+        print(f"Query performance test error: {e}")
+        db_connection_errors.inc()
+
+@app.route('/metrics')
+def metrics():
+    """Prometheus metrics endpoint"""
+    # 收集最新指標
+    get_db_size()
+    get_table_counts()
+    measure_query_performance()
+    
+    # 返回 Prometheus 格式的指標
+    return generate_latest(REGISTRY)
+
+@app.route('/health')
+def health():
+    """健康檢查端點"""
+    try:
+        if os.path.exists(DATABASE_PATH):
+            conn = sqlite3.connect(DATABASE_PATH, timeout=2)
+            conn.close()
+            return 'OK', 200
+        return 'Database file not found', 503
+    except Exception as e:
+        return f'Error: {str(e)}', 503
+
+if __name__ == '__main__':
+    print(f"Starting Database Exporter on http://127.0.0.1:9120/metrics")
+    app.run(host='127.0.0.1', port=9120)