update pay ui
This commit is contained in:
198
app.py
198
app.py
@@ -12536,113 +12536,113 @@ 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（从 concept_anomaly_hybrid 表）
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# 2. 获取概念异动数据（优先从 V2 表，fallback 到旧表）
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alerts = []
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# 首先确保表存在（使用 begin() 来自动提交）
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try:
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with engine.begin() as conn:
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conn.execute(text("""
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CREATE TABLE IF NOT EXISTS concept_anomaly_hybrid (
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id INT AUTO_INCREMENT PRIMARY KEY,
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concept_id VARCHAR(64) NOT NULL,
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alert_time DATETIME NOT NULL,
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trade_date DATE NOT NULL,
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alert_type VARCHAR(32) NOT NULL,
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final_score FLOAT NOT NULL,
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rule_score FLOAT NOT NULL,
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ml_score FLOAT NOT NULL,
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trigger_reason VARCHAR(64),
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alpha FLOAT,
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alpha_delta FLOAT,
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amt_ratio FLOAT,
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amt_delta FLOAT,
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rank_pct FLOAT,
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limit_up_ratio FLOAT,
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stock_count INT,
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total_amt FLOAT,
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triggered_rules JSON,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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UNIQUE KEY uk_concept_time (concept_id, alert_time, trade_date),
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INDEX idx_trade_date (trade_date),
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INDEX idx_concept_id (concept_id),
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INDEX idx_final_score (final_score),
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INDEX idx_alert_type (alert_type)
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='概念异动检测结果（融合版）'
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"""))
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except Exception as create_err:
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logger.debug(f"创建表检查: {create_err}")
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use_v2 = False
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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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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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# 尝试查询 V2 表（时间片对齐 + 持续确认版本）
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try:
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v2_result = conn.execute(text("""
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SELECT
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concept_id, alert_time, trade_date, alert_type,
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final_score, rule_score, ml_score, trigger_reason, confirm_ratio,
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alpha, alpha_zscore, amt_zscore, rank_zscore,
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momentum_3m, momentum_5m, limit_up_ratio, triggered_rules
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FROM concept_anomaly_v2
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WHERE trade_date = :trade_date
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ORDER BY alert_time
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"""), {'trade_date': trade_date})
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v2_rows = v2_result.fetchall()
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if v2_rows:
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use_v2 = True
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for row in v2_rows:
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triggered_rules = None
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if row[16]:
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try:
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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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# 获取概念名称映射（从 ES 或缓存）
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concept_names = {}
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alerts.append({
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'concept_id': row[0],
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'concept_name': row[0], # 后面会填充
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'time': row[1].strftime('%H:%M') if row[1] else None,
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'timestamp': row[1].isoformat() if row[1] else None,
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'alert_type': row[3],
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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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# V2 新增字段
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'confirm_ratio': float(row[8]) if row[8] else None,
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'alpha': float(row[9]) if row[9] else None,
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'alpha_zscore': float(row[10]) if row[10] else None,
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'amt_zscore': float(row[11]) if row[11] else None,
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'rank_zscore': float(row[12]) if row[12] else None,
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'momentum_3m': float(row[13]) if row[13] else None,
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'momentum_5m': float(row[14]) if row[14] else None,
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'limit_up_ratio': float(row[15]) if row[15] else 0,
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'triggered_rules': triggered_rules,
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# 兼容字段
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'importance_score': float(row[4]) / 100 if row[4] else None,
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'is_v2': True,
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})
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except Exception as v2_err:
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logger.debug(f"V2 表查询失败，使用旧表: {v2_err}")
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for row in alert_result:
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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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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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# Fallback: 查询旧表
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if not use_v2:
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try:
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alert_result = conn.execute(text("""
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SELECT
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a.concept_id, a.alert_time, a.trade_date, a.alert_type,
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a.final_score, a.rule_score, a.ml_score, a.trigger_reason,
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a.alpha, a.alpha_delta, a.amt_ratio, a.amt_delta,
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a.rank_pct, a.limit_up_ratio, a.stock_count, 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（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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for row in alert_result:
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triggered_rules = None
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if row[16]:
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try:
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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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# 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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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': 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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'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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alerts.append({
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'concept_id': row[0],
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'concept_name': row[0],
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'time': row[1].strftime('%H:%M') if row[1] else None,
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'timestamp': row[1].isoformat() if row[1] else None,
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'alert_type': row[3],
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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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'importance_score': float(row[4]) / 100 if row[4] else None,
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'is_v2': False,
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})
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except Exception as old_err:
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logger.debug(f"旧表查询也失败: {old_err}")
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# 尝试批量获取概念名称
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if alerts:
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