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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>
38 lines
1.2 KiB
Python
38 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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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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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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i_codes = ['6323590', '7904362', '5954422', '6009343', '4248163', '3331634', '7351198',
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'12589232', '11118441', '10755887', '9009264', '9562474', '11038732', '10901361',
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'9250857', '5477268', '9600967', '10440331', '10080994', '9900915', '3821684',
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'10567236', '13351736', '13351734', '12777975', '11640264', '5894654', '10050962',
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'8318051', '11593427', '9857434']
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correct = 0
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incorrect = 0
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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 and product.image_url and i_code in product.image_url:
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correct += 1
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else:
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incorrect += 1
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if product:
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print(f"❌ [{i_code}] {product.image_url}")
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print(f"\n📊 驗證結果: ✅ {correct}/{len(i_codes)} 正確")
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if incorrect > 0:
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print(f"❌ {incorrect} 個錯誤")
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session.close()
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