yumoqing
71ecb8fea1
- Add hotspot_source/hotspot_item/hotspot_analysis table definitions - Add MySQL DDL for all three tables with indexes - Create hotspot dashboard UI (index.ui) with stats, tabs for CRUD - Add DSPY endpoints: stats, fetch_now (RSS/API), analyze (auto-classify) - Register paths in load_path.py with logined access - Add '热点雷达' menu entry
56 lines
1.7 KiB
Plaintext
56 lines
1.7 KiB
Plaintext
# 自动分析热点状态：根据时间和热度自动分类
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# rising -> hot -> cooling -> expired
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from datetime import datetime, timedelta
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from sqlor.dbpools import DBPools
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async def main(request):
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db = DBPools()
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now = datetime.now()
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analyzed = 0
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async with db.sqlorContext('sage') as sor:
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items = await sor.sqlExe(
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"select * from hotspot_item order by fetch_time desc",
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{}
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)
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for item in items:
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try:
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fetch_time = datetime.strptime(str(item.get('fetch_time', '')), '%Y-%m-%d %H:%M:%S')
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except:
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fetch_time = now
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hours_ago = (now - fetch_time).total_seconds() / 3600
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heat = int(item.get('heat_score', 0))
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current_status = item.get('status', 'rising')
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# 热度衰减计算
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decay_factor = max(0, 1 - hours_ago / 168) # 7天衰减到0
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adjusted_heat = heat * decay_factor
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# 状态分类
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if hours_ago > 168: # 超过7天
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new_status = 'expired'
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elif hours_ago > 72: # 超过3天
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new_status = 'cooling'
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elif adjusted_heat > 500:
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new_status = 'hot'
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elif adjusted_heat > 100:
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new_status = 'rising'
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else:
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new_status = 'cooling' if hours_ago > 24 else 'rising'
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if new_status != current_status:
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async with db.sqlorContext('sage') as sor:
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await sor.U('hotspot_item', {
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'id': item['id'],
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'status': new_status,
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'heat_score': int(adjusted_heat),
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})
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analyzed += 1
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return {
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'analyzed': analyzed,
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'time': now.strftime('%Y-%m-%d %H:%M:%S'),
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}
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