update pay ui
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118
app.py
118
app.py
@@ -12465,6 +12465,10 @@ def get_hotspot_overview():
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"""
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获取热点概览数据（用于个股中心的热点概览图表）
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返回：指数分时数据 + 概念异动标注
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数据来源：
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- 指数分时：ClickHouse index_minute 表
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- 概念异动：MySQL concept_anomaly_hybrid 表（来自 realtime_detector.py）
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"""
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try:
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trade_date = request.args.get('date')
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@@ -12532,61 +12536,100 @@ def get_hotspot_overview():
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'change_pct': change_pct
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})
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# 2. 获取概念异动数据
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# 2. 获取概念异动数据（从 concept_anomaly_hybrid 表）
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alerts = []
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with engine.connect() as conn:
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# 查询 concept_anomaly_hybrid 表
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alert_result = conn.execute(text("""
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SELECT
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concept_id, concept_name, alert_time, alert_type,
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change_pct, change_delta, limit_up_count, limit_up_delta,
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rank_position, index_price, index_change_pct,
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stock_count, concept_type, extra_info,
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prev_change_pct, zscore, importance_score
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FROM concept_minute_alert
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WHERE trade_date = :trade_date
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ORDER BY alert_time
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a.concept_id,
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a.alert_time,
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a.trade_date,
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a.alert_type,
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a.final_score,
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a.rule_score,
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a.ml_score,
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a.trigger_reason,
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a.alpha,
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a.alpha_delta,
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a.amt_ratio,
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a.amt_delta,
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a.rank_pct,
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a.limit_up_ratio,
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a.stock_count,
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a.total_amt,
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a.triggered_rules
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FROM concept_anomaly_hybrid a
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WHERE a.trade_date = :trade_date
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ORDER BY a.alert_time
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"""), {'trade_date': trade_date})
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# 获取概念名称映射（从 ES 或缓存）
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concept_names = {}
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for row in alert_result:
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alert_time = row[2]
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extra_info = None
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if row[13]:
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concept_id = row[0]
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alert_time = row[1]
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triggered_rules = None
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if row[16]:
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try:
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extra_info = json.loads(row[13]) if isinstance(row[13], str) else row[13]
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triggered_rules = json.loads(row[16]) if isinstance(row[16], str) else row[16]
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except:
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pass
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# 从 extra_info 提取 zscore 和 importance_score（兼容旧数据）
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zscore = None
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importance_score = None
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if len(row) > 15:
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zscore = float(row[15]) if row[15] else None
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importance_score = float(row[16]) if row[16] else None
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if extra_info:
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zscore = zscore or extra_info.get('zscore')
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importance_score = importance_score or extra_info.get('importance_score')
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# 获取概念名称（优先从缓存，否则使用 concept_id）
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concept_name = concept_names.get(concept_id) or concept_id
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# 计算涨停数量（从 limit_up_ratio 和 stock_count 估算）
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limit_up_ratio = float(row[13]) if row[13] else 0
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stock_count = int(row[14]) if row[14] else 0
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limit_up_count = int(limit_up_ratio * stock_count) if stock_count > 0 else 0
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alerts.append({
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'concept_id': row[0],
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'concept_name': row[1],
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'concept_id': concept_id,
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'concept_name': concept_name,
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'time': alert_time.strftime('%H:%M') if alert_time else None,
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'timestamp': alert_time.isoformat() if alert_time else None,
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'alert_type': row[3],
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'change_pct': float(row[4]) if row[4] else None,
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'change_delta': float(row[5]) if row[5] else None,
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'limit_up_count': row[6],
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'limit_up_delta': row[7],
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'rank_position': row[8],
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'index_price': float(row[9]) if row[9] else None,
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'index_change_pct': float(row[10]) if row[10] else None,
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'stock_count': row[11],
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'concept_type': row[12],
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'extra_info': extra_info,
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'prev_change_pct': float(row[14]) if len(row) > 14 and row[14] else None,
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'zscore': zscore,
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'importance_score': importance_score
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'final_score': float(row[4]) if row[4] else None,
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'rule_score': float(row[5]) if row[5] else None,
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'ml_score': float(row[6]) if row[6] else None,
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'trigger_reason': row[7],
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'alpha': float(row[8]) if row[8] else None,
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'alpha_delta': float(row[9]) if row[9] else None,
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'amt_ratio': float(row[10]) if row[10] else None,
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'amt_delta': float(row[11]) if row[11] else None,
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'rank_pct': float(row[12]) if row[12] else None,
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'limit_up_ratio': limit_up_ratio,
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'limit_up_count': limit_up_count,
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'stock_count': stock_count,
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'total_amt': float(row[15]) if row[15] else None,
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'triggered_rules': triggered_rules,
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# 兼容旧字段
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'importance_score': float(row[4]) / 100 if row[4] else None,
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})
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# 尝试批量获取概念名称
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if alerts:
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concept_ids = list(set(a['concept_id'] for a in alerts))
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try:
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from elasticsearch import Elasticsearch
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es_client = Elasticsearch(['http://127.0.0.1:9200'])
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es_result = es_client.mget(
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index='concept_library_v3',
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body={'ids': concept_ids},
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_source=['concept']
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)
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for doc in es_result.get('docs', []):
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if doc.get('found') and doc.get('_source'):
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concept_names[doc['_id']] = doc['_source'].get('concept', doc['_id'])
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# 更新 alerts 中的概念名称
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for alert in alerts:
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if alert['concept_id'] in concept_names:
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alert['concept_name'] = concept_names[alert['concept_id']]
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except Exception as e:
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logger.warning(f"获取概念名称失败: {e}")
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# 计算统计信息
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day_high = max([d['price'] for d in index_timeline if d['price']], default=None)
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day_low = min([d['price'] for d in index_timeline if d['price']], default=None)
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@@ -12614,6 +12657,7 @@ def get_hotspot_overview():
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'surge_up': len([a for a in alerts if a['alert_type'] == 'surge_up']),
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'surge_down': len([a for a in alerts if a['alert_type'] == 'surge_down']),
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'limit_up': len([a for a in alerts if a['alert_type'] == 'limit_up']),
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'volume_spike': len([a for a in alerts if a['alert_type'] == 'volume_spike']),
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'rank_jump': len([a for a in alerts if a['alert_type'] == 'rank_jump'])
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}
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}
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