Updata2

etl_billiards/scripts/show_area_category.py

@@ -0,0 +1,43 @@
+# -*- coding: utf-8 -*-
+"""显示台区分类映射数据"""
+
+import os
+from pathlib import Path
+from dotenv import load_dotenv
+import psycopg2
+
+def main():
+    load_dotenv(Path(__file__).parent.parent / ".env")
+    dsn = os.getenv("PG_DSN")
+    conn = psycopg2.connect(dsn)
+    
+    print("cfg_area_category 数据内容:")
+    print("=" * 90)
+    print(f"{'source_area_name':<15} {'category_code':<15} {'category_name':<12} {'match_type':<10} {'priority':<8}")
+    print("-" * 90)
+    
+    with conn.cursor() as cur:
+        cur.execute("""
+            SELECT source_area_name, category_code, category_name, match_type, match_priority
+            FROM billiards_dws.cfg_area_category
+            ORDER BY match_priority, category_code, source_area_name
+        """)
+        for row in cur.fetchall():
+            print(f"{row[0]:<15} {row[1]:<15} {row[2]:<12} {row[3]:<10} {row[4]:<8}")
+    
+    print("=" * 90)
+    print("\n分类汇总:")
+    with conn.cursor() as cur:
+        cur.execute("""
+            SELECT category_code, category_name, COUNT(*) as cnt
+            FROM billiards_dws.cfg_area_category
+            GROUP BY category_code, category_name
+            ORDER BY category_code
+        """)
+        for row in cur.fetchall():
+            print(f"  {row[0]:<15} {row[1]:<12} {row[2]} 条规则")
+    
+    conn.close()
+
+if __name__ == "__main__":
+    main()