132 lines
3.6 KiB
Python
132 lines
3.6 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Legacy cache compatibility shim.
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Sales/dashboard cache state lives in services.cache_manager. This module keeps
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older imports working and only owns growth-analysis and slow-query helpers.
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"""
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from datetime import datetime, timezone, timedelta
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from services.cache_manager import (
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_SALES_DF_CACHE,
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_SALES_PROCESSED_CACHE,
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_SALES_OPTIONS_CACHE,
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_SALES_ANALYSIS_RESULT_CACHE,
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_SALES_CACHE_TTL,
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_DASHBOARD_DATA_CACHE,
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_DASHBOARD_CACHE_TTL,
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clear_sales_cache,
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clear_dashboard_cache,
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)
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# 台北時區
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TAIPEI_TZ = timezone(timedelta(hours=8))
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# 快取 TTL 設定：sales TTL 以 cache_manager 為單一來源
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_SALES_OPTIONS_TTL = 21600 # 選項快取: 6 小時
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_SALES_RESULT_TTL = _SALES_CACHE_TTL
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# ==========================================
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# 成長分析快取
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# ==========================================
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_GROWTH_ANALYSIS_CACHE = {
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'chart_data': None,
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'kpi': None,
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'timestamp': None
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}
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_GROWTH_CACHE_TTL = 1800 # 成長分析快取: 30 分鐘
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# ==========================================
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# 慢查詢監控
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# ==========================================
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_SLOW_QUERY_STATS = {
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'total_queries': 0,
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'slow_queries': 0,
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'very_slow_queries': 0,
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'total_query_time_ms': 0,
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'last_slow_query': None,
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'last_slow_query_time': None,
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}
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_SLOW_QUERY_THRESHOLD_MS = 1000 # 慢查詢閾值: 1秒
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_VERY_SLOW_QUERY_THRESHOLD_MS = 5000 # 極慢查詢閾值: 5秒
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def track_query_time(query_name, duration_ms):
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"""追蹤查詢時間，更新慢查詢統計"""
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global _SLOW_QUERY_STATS
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_SLOW_QUERY_STATS['total_queries'] += 1
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_SLOW_QUERY_STATS['total_query_time_ms'] += duration_ms
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if duration_ms >= _VERY_SLOW_QUERY_THRESHOLD_MS:
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_SLOW_QUERY_STATS['very_slow_queries'] += 1
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_SLOW_QUERY_STATS['slow_queries'] += 1
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_SLOW_QUERY_STATS['last_slow_query'] = query_name
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_SLOW_QUERY_STATS['last_slow_query_time'] = datetime.now(TAIPEI_TZ).isoformat()
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elif duration_ms >= _SLOW_QUERY_THRESHOLD_MS:
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_SLOW_QUERY_STATS['slow_queries'] += 1
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_SLOW_QUERY_STATS['last_slow_query'] = query_name
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_SLOW_QUERY_STATS['last_slow_query_time'] = datetime.now(TAIPEI_TZ).isoformat()
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def get_slow_query_stats():
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"""取得慢查詢統計資料"""
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return _SLOW_QUERY_STATS.copy()
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def clear_growth_cache():
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"""清除成長分析快取"""
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global _GROWTH_ANALYSIS_CACHE
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_GROWTH_ANALYSIS_CACHE = {
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'chart_data': None,
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'kpi': None,
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'timestamp': None
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}
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def clear_all_cache():
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"""清除所有快取"""
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clear_sales_cache()
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clear_dashboard_cache()
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clear_growth_cache()
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def is_cache_valid(timestamp, ttl_seconds):
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"""
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檢查快取是否有效
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Args:
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timestamp: 快取時間戳記
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ttl_seconds: 快取有效期(秒)
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Returns:
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bool: True 表示快取有效
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"""
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if timestamp is None:
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return False
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now = datetime.now(TAIPEI_TZ)
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if timestamp.tzinfo is None:
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timestamp = timestamp.replace(tzinfo=TAIPEI_TZ)
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age = (now - timestamp).total_seconds()
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return age < ttl_seconds
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def get_growth_cache():
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"""取得成長分析快取"""
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return _GROWTH_ANALYSIS_CACHE
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def set_growth_cache(chart_data, kpi):
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"""設定成長分析快取"""
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global _GROWTH_ANALYSIS_CACHE
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_GROWTH_ANALYSIS_CACHE = {
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'chart_data': chart_data,
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'kpi': kpi,
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'timestamp': datetime.now(TAIPEI_TZ)
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}
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def is_growth_cache_valid():
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"""檢查成長分析快取是否有效"""
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return is_cache_valid(_GROWTH_ANALYSIS_CACHE.get('timestamp'), _GROWTH_CACHE_TTL)
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