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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>
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
import os
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import sys
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from sqlalchemy import create_engine
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from sqlalchemy.orm import sessionmaker
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# 設定路徑
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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sys.path.insert(0, BASE_DIR)
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from database.models import Product
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# 資料庫路徑
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DB_PATH = os.path.join(BASE_DIR, 'data', 'momo_database.db')
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engine = create_engine(f'sqlite:///{DB_PATH}')
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Session = sessionmaker(bind=engine)
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session = Session()
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# 指定的商品編號
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i_codes = ['14672839', '9216349', '13261678', '6676895', '13240823', '13240822', '10911080', '3876337', '8863611']
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print("🔍 檢查指定商品的圖片 URL:\n")
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print("=" * 100)
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for i_code in i_codes:
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product = session.query(Product).filter(Product.i_code == i_code).first()
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if product:
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print(f"\n[{i_code}] {product.name[:60]}...")
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print(f" 當前圖片: {product.image_url}")
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# 檢查 URL 是否包含 i_code
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if product.image_url and i_code in product.image_url:
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print(f" ✅ URL 包含商品編號")
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elif product.image_url:
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print(f" ❌ URL 不包含商品編號")
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else:
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print(f" ⚠️ 無圖片")
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else:
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print(f"\n[{i_code}] ⚠️ 找不到此商品")
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print("\n" + "=" * 100)
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session.close()
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