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- 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>
65 lines
1.8 KiB
Python
65 lines
1.8 KiB
Python
#!/usr/bin/env python3
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"""測試完整 76 欄位同步"""
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import sqlite3
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import psycopg2
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# 取得所有欄位
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sqlite_conn = sqlite3.connect("data/momo_database.db")
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cursor = sqlite_conn.cursor()
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cursor.execute("PRAGMA table_info(realtime_sales_monthly)")
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col_info = cursor.fetchall()
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columns = [c[1] for c in col_info]
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print(f"共 {len(columns)} 個欄位")
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# 檢查特殊字元
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special_chars = []
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for i, col in enumerate(columns):
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if "%" in col or "(" in col or ")" in col:
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special_chars.append((i, col))
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print(f"\n包含特殊字元的欄位: {len(special_chars)}")
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for i, col in special_chars:
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print(f" {i}: {col}")
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# 測試完整 76 欄位同步
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print("\n測試完整欄位同步...")
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cursor.execute("SELECT * FROM realtime_sales_monthly LIMIT 10")
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rows = cursor.fetchall()
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pg_conn = psycopg2.connect(
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host="localhost", port="5432",
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user="momo", password="wooo_pg_2026",
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database="momo_analytics"
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)
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pg_cursor = pg_conn.cursor()
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# 建立表格
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pg_cursor.execute("DROP TABLE IF EXISTS test_full76 CASCADE")
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cols_def = ", ".join([f'"{c}" TEXT' for c in columns])
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pg_cursor.execute(f"CREATE TABLE test_full76 (id SERIAL PRIMARY KEY, {cols_def})")
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pg_conn.commit()
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print("表建立成功")
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# 插入資料
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cols_sql = ", ".join([f'"{c}"' for c in columns])
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placeholders = ", ".join(["%s"] * len(columns))
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sql = f"INSERT INTO test_full76 ({cols_sql}) VALUES ({placeholders})"
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success_count = 0
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for i, row in enumerate(rows):
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try:
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pg_cursor.execute(sql, tuple(row))
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success_count += 1
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except Exception as e:
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print(f"第 {i} 筆失敗: {e}")
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pg_conn.rollback()
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pg_conn.commit()
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print(f"成功插入: {success_count}/{len(rows)} 筆")
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pg_cursor.execute("DROP TABLE test_full76 CASCADE")
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pg_conn.commit()
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pg_conn.close()
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sqlite_conn.close()
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