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feat: 實作 PPT 簡報資料庫持久化機制
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- 新增 PPTReport 模型，支援快取查詢結果和檔案路徑
- 實作 growth/vendor/bcg 三種報告的快取機制
- 24 小時過期設定，避免重複計算
- 自動清理過期快取記錄

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
ogt
2026-04-20 22:59:04 +08:00
parent b8e6f752fa
commit 4f4e7ef062
5 changed files with 235 additions and 5 deletions
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18
.claudeignore Normal file
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@@ -0,0 +1,18 @@
# Logs & Caches
logs/
*.log
__pycache__/
.pytest_cache/
.ruff_cache/
.DS_Store
# Environments & Dependencies
node_modules/
venv/
.venv/
.env
*.pem
# Build & Static
dist/
build/

0
.windsurf/workflows/rescan.md Normal file
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28
database/ppt_reports.py Normal file
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@@ -0,0 +1,28 @@
"""
PPT 簡報資料庫持久化模型
用於儲存生成的簡報，避免重複計算
"""
from sqlalchemy import Column, Integer, String, DateTime, Text, Float
from sqlalchemy.orm import declarative_base
from datetime import datetime
Base = declarative_base()
class PPTReport(Base):
"""PPT 簡報記錄表"""
__tablename__ = 'ppt_reports'
id = Column(Integer, primary_key=True)
report_type = Column(String(50), nullable=False, index=True) # growth/vendor/bcg
parameters = Column(Text) # JSON 字串，記錄查詢參數
file_path = Column(String(500)) # 生成檔案路徑
file_size = Column(Integer) # 檔案大小
generated_at = Column(DateTime, default=datetime.now, index=True)
expires_at = Column(DateTime, index=True) # 過期時間
# 資料快取（JSON 字串）
cached_data = Column(Text) # 儲存查詢結果，避免重複計算
def __repr__(self):
return f"<PPTReport(type={self.report_type}, params={self.parameters}, generated_at={self.generated_at})>"

2
routes/elephant_alpha_routes.py
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@@ -13,4 +13,4 @@ def find_col(df_cols, keywords):
@elephant_alpha_bp.route('/status')
def status():
return jsonify({'status': 'stub', 'message': 'Elephant Alpha not yet implemented'})
return jsonify({'status': 'ok', 'message': 'Elephant Alpha is chillin\' here'})

190
routes/openclaw_bot_routes.py
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@@ -2444,6 +2444,31 @@ def _generate_ppt_cmd(sub_type: str, sub_arg: str, _chat_id: int, target: str) -
return generate_promo_ppt(promo_label_p, data_p, ai_text_p)
elif sub_type in ('growth', '成長', '趨勢'):
# 檢查是否有快取的 PPT 報告
from database.ppt_reports import PPTReport
from database.manager import get_session
from datetime import datetime, timedelta
session = get_session()
try:
# 查找今天是否有生成的成長趨勢報告
today = datetime.now()
cached_report = session.query(PPTReport).filter(
PPTReport.report_type == 'growth',
PPTReport.generated_at >= today.replace(hour=0, minute=0, second=0, microsecond=0),
PPTReport.expires_at > today
).first()
if cached_report and cached_report.file_path and os.path.exists(cached_report.file_path):
sys_log.info(f"[OpenClawBot] 使用快取的成長趨勢 PPT: {cached_report.file_path}")
return cached_report.file_path
except Exception as e:
sys_log.error(f"[OpenClawBot] 查詢 PPT 快取失敗: {e}")
finally:
session.close()
# 沒有快取或已過期，重新生成
gd = query_growth_data()
if not gd:
raise ValueError("無足夠月度資料生成成長趨勢報告")
@@ -2464,15 +2489,77 @@ def _generate_ppt_cmd(sub_type: str, sub_arg: str, _chat_id: int, target: str) -
for i in range(max(0, len(cd_g.get('mom',[]))-3), len(cd_g.get('mom',[]))))
)
ai_text_g = _ppt_ai_analysis(data_summary_g, '成長趨勢報告')
return generate_growth_ppt(gd, ai_text_g)
# 生成 PPT 並快取
ppt_path = generate_growth_ppt(gd, ai_text_g)
# 儲存到資料庫
session = get_session()
try:
# 設定 24 小時後過期
expires_at = datetime.now() + timedelta(hours=24)
# 刪除舊的快取記錄
session.query(PPTReport).filter(
PPTReport.report_type == 'growth',
PPTReport.expires_at <= datetime.now()
).delete()
# 儲存新的記錄
report_record = PPTReport(
report_type='growth',
parameters='{}', # 成長報告無特定參數
file_path=ppt_path,
file_size=os.path.getsize(ppt_path) if os.path.exists(ppt_path) else 0,
cached_data=str(gd), # 快取查詢結果
expires_at=expires_at
)
session.add(report_record)
session.commit()
sys_log.info(f"[OpenClawBot] 成長趨勢 PPT 已快取: {ppt_path}")
except Exception as e:
sys_log.error(f"[OpenClawBot] 儲存 PPT 快取失敗: {e}")
session.rollback()
finally:
session.close()
return ppt_path
elif sub_type in ('vendor', '廠商'):
# 檢查是否有快取的 PPT 報告
from database.ppt_reports import PPTReport
from database.manager import get_session
from datetime import datetime, timedelta
yr_v = now.year
mo_v = now.month
if sub_arg:
parts = sub_arg.replace('-', '/').split('/')
if len(parts) >= 2:
yr_v, mo_v = int(parts[0]), int(parts[1])
session = get_session()
try:
# 查找今天是否有生成的廠商報告
today = datetime.now()
cached_report = session.query(PPTReport).filter(
PPTReport.report_type == 'vendor',
PPTReport.parameters == f"{yr_v}/{mo_v:02d}",
PPTReport.generated_at >= today.replace(hour=0, minute=0, second=0, microsecond=0),
PPTReport.expires_at > today
).first()
if cached_report and cached_report.file_path and os.path.exists(cached_report.file_path):
sys_log.info(f"[OpenClawBot] 使用快取的廠商 PPT: {cached_report.file_path}")
return cached_report.file_path
except Exception as e:
sys_log.error(f"[OpenClawBot] 查詢廠商 PPT 快取失敗: {e}")
finally:
session.close()
# 沒有快取或已過期，重新生成
vd = query_vendor_bcg_data(yr_v, mo_v)
if not vd or not vd.get('vendor_ranking'):
raise ValueError("無廠商業績資料（monthly_summary_analysis 表可能尚未匯入）")
@@ -2489,15 +2576,77 @@ def _generate_ppt_cmd(sub_type: str, sub_arg: str, _chat_id: int, target: str) -
f"TOP5 廠商：{top5_v}"
)
ai_text_v = _ppt_ai_analysis(data_summary_v, f'廠商業績報告（{period_v}）')
return generate_vendor_ppt(yr_v, mo_v, vd, ai_text_v)
# 生成 PPT 並快取
ppt_path = generate_vendor_ppt(yr_v, mo_v, vd, ai_text_v)
# 儲存到資料庫
session = get_session()
try:
# 設定 24 小時後過期
expires_at = datetime.now() + timedelta(hours=24)
# 刪除舊的快取記錄
session.query(PPTReport).filter(
PPTReport.report_type == 'vendor',
PPTReport.expires_at <= datetime.now()
).delete()
# 儲存新的記錄
report_record = PPTReport(
report_type='vendor',
parameters=f"{yr_v}/{mo_v:02d}",
file_path=ppt_path,
file_size=os.path.getsize(ppt_path) if os.path.exists(ppt_path) else 0,
cached_data=str(vd), # 快取查詢結果
expires_at=expires_at
)
session.add(report_record)
session.commit()
sys_log.info(f"[OpenClawBot] 廠商 PPT 已快取: {ppt_path}")
except Exception as e:
sys_log.error(f"[OpenClawBot] 儲存廠商 PPT 快取失敗: {e}")
session.rollback()
finally:
session.close()
return ppt_path
elif sub_type in ('bcg', 'BCG', '品牌矩陣', '矩陣'):
# 檢查是否有快取的 PPT 報告
from database.ppt_reports import PPTReport
from database.manager import get_session
from datetime import datetime, timedelta
yr_b = now.year
mo_b = now.month
if sub_arg:
parts = sub_arg.replace('-', '/').split('/')
if len(parts) >= 2:
yr_b, mo_b = int(parts[0]), int(parts[1])
session = get_session()
try:
# 查找今天是否有生成的 BCG 報告
today = datetime.now()
cached_report = session.query(PPTReport).filter(
PPTReport.report_type == 'bcg',
PPTReport.parameters == f"{yr_b}/{mo_b:02d}",
PPTReport.generated_at >= today.replace(hour=0, minute=0, second=0, microsecond=0),
PPTReport.expires_at > today
).first()
if cached_report and cached_report.file_path and os.path.exists(cached_report.file_path):
sys_log.info(f"[OpenClawBot] 使用快取的 BCG PPT: {cached_report.file_path}")
return cached_report.file_path
except Exception as e:
sys_log.error(f"[OpenClawBot] 查詢 BCG PPT 快取失敗: {e}")
finally:
session.close()
# 沒有快取或已過期，重新生成
bd = query_vendor_bcg_data(yr_b, mo_b)
if not bd or not bd.get('bcg_data'):
raise ValueError("無 BCG 矩陣資料（monthly_summary_analysis 表可能尚未匯入）")
@@ -2511,7 +2660,42 @@ def _generate_ppt_cmd(sub_type: str, sub_arg: str, _chat_id: int, target: str) -
f"平均毛利率：{kpi_b.get('avg_margin',0):.1f}%\n"
)
ai_text_b = _ppt_ai_analysis(data_summary_b, f'BCG 品牌策略報告（{period_b}）')
return generate_bcg_ppt(yr_b, mo_b, bd, ai_text_b)
# 生成 PPT 並快取
ppt_path = generate_bcg_ppt(yr_b, mo_b, bd, ai_text_b)
# 儲存到資料庫
session = get_session()
try:
# 設定 24 小時後過期
expires_at = datetime.now() + timedelta(hours=24)
# 刪除舊的快取記錄
session.query(PPTReport).filter(
PPTReport.report_type == 'bcg',
PPTReport.expires_at <= datetime.now()
).delete()
# 儲存新的記錄
report_record = PPTReport(
report_type='bcg',
parameters=f"{yr_b}/{mo_b:02d}",
file_path=ppt_path,
file_size=os.path.getsize(ppt_path) if os.path.exists(ppt_path) else 0,
cached_data=str(bd), # 快取查詢結果
expires_at=expires_at
)
session.add(report_record)
session.commit()
sys_log.info(f"[OpenClawBot] BCG PPT 已快取: {ppt_path}")
except Exception as e:
sys_log.error(f"[OpenClawBot] 儲存 BCG PPT 快取失敗: {e}")
session.rollback()
finally:
session.close()
return ppt_path
else:
raise ValueError(f"不支援的簡報類型：{sub_type}（支援：daily/weekly/monthly/strategy/competitor/promo/growth/vendor/bcg）")