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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>
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
from app import app
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from database.manager import DatabaseManager
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from database.models import MonthlySummaryAnalysis
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from sqlalchemy import func
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db = DatabaseManager()
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session = db.get_session()
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print("Checking 2025 data...")
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count = session.query(func.count(MonthlySummaryAnalysis.id)).filter(MonthlySummaryAnalysis.year == 2025).scalar()
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print(f"Total rows for 2025: {count}")
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print("Checking 2024 data...")
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count_24 = session.query(func.count(MonthlySummaryAnalysis.id)).filter(MonthlySummaryAnalysis.year == 2024).scalar()
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print(f"Total rows for 2024: {count_24}")
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print("Checking Top 12 Query Logic...")
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# Simulate div_dist_q logic manually
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try:
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q = session.query(
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MonthlySummaryAnalysis.division,
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func.sum(MonthlySummaryAnalysis.sales_amt_curr).label('sales')
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).group_by(MonthlySummaryAnalysis.division).order_by(func.sum(MonthlySummaryAnalysis.sales_amt_curr).desc()).limit(12)
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# Apply NO filters first
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print(f"Top 12 (No Filters) Count: {len(q.all())}")
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# Apply Month filter (e.g. month=1)
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q_month = q.filter(MonthlySummaryAnalysis.month == 1)
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print(f"Top 12 (Month=1) Count: {len(q_month.all())}")
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except Exception as e:
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print(f"Query failed: {e}")
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