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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>
96 lines
2.7 KiB
Python
96 lines
2.7 KiB
Python
# cSpell:ignore momo bottomicon
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"""
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修正錯誤圖片腳本
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清理資料庫中的錯誤圖片（bottomIcon 等），並標記為需要重新抓取
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"""
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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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from database.edm_models import PromoProduct
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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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def fix_wrong_images():
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"""清理錯誤的圖片 URL"""
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print("🔧 開始修正錯誤圖片...\n")
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if not os.path.exists(DB_PATH):
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print(f"❌ 資料庫檔案不存在: {DB_PATH}")
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return
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try:
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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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# 定義錯誤圖片的關鍵字
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wrong_patterns = [
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'%bottomIcon%',
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'%bottomicon%',
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'%loader.gif%',
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'%blank.png%'
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]
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print("=" * 60)
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print("📦 修正一般商品 (Product)")
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print("=" * 60)
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fixed_count = 0
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for pattern in wrong_patterns:
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products = session.query(Product).filter(
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Product.image_url.like(pattern)
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).all()
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for p in products:
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print(f"修正: [{p.i_code}] {p.name[:50]}...")
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print(f" 錯誤圖片: {p.image_url}")
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p.image_url = None # 清空錯誤的圖片 URL
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fixed_count += 1
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session.commit()
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print(f"\n✅ 已修正 {fixed_count} 個商品的錯誤圖片")
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# 檢查促銷商品
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print("\n" + "=" * 60)
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print("🎁 檢查促銷商品 (PromoProduct)")
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print("=" * 60)
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promo_fixed = 0
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for pattern in wrong_patterns:
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promos = session.query(PromoProduct).filter(
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PromoProduct.image_url.like(pattern)
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).all()
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for p in promos:
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print(f"修正: [{p.i_code}] {p.name[:50]}...")
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print(f" 錯誤圖片: {p.image_url}")
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p.image_url = None
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promo_fixed += 1
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session.commit()
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print(f"\n✅ 已修正 {promo_fixed} 個促銷商品的錯誤圖片")
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print("\n" + "=" * 60)
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print("🎉 修正完成！")
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print("=" * 60)
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print(f"總計修正: {fixed_count + promo_fixed} 個商品")
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print("\n💡 提示: 下次執行爬蟲時，這些商品會重新抓取圖片。")
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session.close()
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except Exception as e:
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print(f"❌ 修正失敗: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == "__main__":
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fix_wrong_images()
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