682 lines
21 KiB
Python
682 lines
21 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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概念涨跌幅实时更新服务
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- 在交易时间段每分钟从ClickHouse获取最新分钟数据
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- 计算涨跌幅后更新MySQL的concept_daily_stats表
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- 支持叶子概念和母概念（lv1/lv2/lv3）
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"""
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import pandas as pd
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import numpy as np
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from datetime import datetime, timedelta
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from sqlalchemy import create_engine, text
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from elasticsearch import Elasticsearch
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from clickhouse_driver import Client
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import time
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import logging
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import json
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import os
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import hashlib
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import argparse
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# ==================== 配置 ====================
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# MySQL配置
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MYSQL_ENGINE = create_engine(
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"mysql+pymysql://root:Zzl5588161!@222.128.1.157:33060/stock",
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echo=False
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)
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# Elasticsearch配置
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ES_CLIENT = Elasticsearch(['http://222.128.1.157:19200'])
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INDEX_NAME = 'concept_library_v3'
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# ClickHouse配置
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CLICKHOUSE_CONFIG = {
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'host': '222.128.1.157',
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'port': 18000,
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'user': 'default',
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'password': 'Zzl33818!',
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'database': 'stock'
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}
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# 层级结构文件
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HIERARCHY_FILE = 'concept_hierarchy_v3.json'
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# 交易时间配置
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TRADING_HOURS = {
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'morning_start': (9, 30),
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'morning_end': (11, 30),
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'afternoon_start': (13, 0),
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'afternoon_end': (15, 0),
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}
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# ==================== 日志配置 ====================
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s',
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handlers=[
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logging.FileHandler(f'concept_realtime_{datetime.now().strftime("%Y%m%d")}.log', encoding='utf-8'),
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logging.StreamHandler()
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]
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)
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logger = logging.getLogger(__name__)
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# ClickHouse客户端
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ch_client = None
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def get_ch_client():
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"""获取ClickHouse客户端"""
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global ch_client
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if ch_client is None:
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ch_client = Client(**CLICKHOUSE_CONFIG)
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return ch_client
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def generate_id(name: str) -> str:
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"""生成概念ID"""
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return hashlib.md5(name.encode('utf-8')).hexdigest()[:16]
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def code_to_ch_format(code: str) -> str:
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"""将6位股票代码转换为ClickHouse格式（带后缀）
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规则：
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- 6开头 -> .SH（上海）
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- 0或3开头 -> .SZ（深圳）
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- 其他 -> .BJ（北京）
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- 非6位数字的忽略（可能是港股）
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"""
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if not code or len(code) != 6 or not code.isdigit():
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return None
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if code.startswith('6'):
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return f"{code}.SH"
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elif code.startswith('0') or code.startswith('3'):
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return f"{code}.SZ"
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else:
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return f"{code}.BJ"
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def ch_code_to_pure(ch_code: str) -> str:
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"""将ClickHouse格式的股票代码转回纯6位代码"""
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if not ch_code:
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return None
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return ch_code.split('.')[0]
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# ==================== 概念数据获取 ====================
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def get_all_concepts():
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"""从ES获取所有叶子概念及其股票列表"""
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concepts = []
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query = {
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"query": {"match_all": {}},
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"size": 100,
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"_source": ["concept_id", "concept", "stocks"]
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}
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resp = ES_CLIENT.search(index=INDEX_NAME, body=query, scroll='2m')
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scroll_id = resp['_scroll_id']
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hits = resp['hits']['hits']
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while len(hits) > 0:
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for hit in hits:
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source = hit['_source']
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concept_info = {
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'concept_id': source.get('concept_id'),
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'concept_name': source.get('concept'),
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'stocks': [],
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'concept_type': 'leaf'
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}
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# v3索引的stocks字段是 [{name, code}, ...]
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if 'stocks' in source and isinstance(source['stocks'], list):
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for stock in source['stocks']:
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if isinstance(stock, dict) and 'code' in stock and stock['code']:
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concept_info['stocks'].append(stock['code'])
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if concept_info['stocks']:
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concepts.append(concept_info)
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resp = ES_CLIENT.scroll(scroll_id=scroll_id, scroll='2m')
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scroll_id = resp['_scroll_id']
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hits = resp['hits']['hits']
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ES_CLIENT.clear_scroll(scroll_id=scroll_id)
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return concepts
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def load_hierarchy_concepts(leaf_concepts: list) -> list:
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"""加载层级结构，生成母概念（lv1/lv2/lv3）"""
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hierarchy_path = os.path.join(os.path.dirname(__file__), HIERARCHY_FILE)
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if not os.path.exists(hierarchy_path):
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logger.warning(f"层级文件不存在: {hierarchy_path}")
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return []
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with open(hierarchy_path, 'r', encoding='utf-8') as f:
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hierarchy_data = json.load(f)
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# 建立概念名称到股票的映射
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concept_to_stocks = {}
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for c in leaf_concepts:
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concept_to_stocks[c['concept_name']] = set(c['stocks'])
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parent_concepts = []
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for lv1 in hierarchy_data.get('hierarchy', []):
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lv1_name = lv1.get('lv1', '')
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lv1_stocks = set()
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for child in lv1.get('children', []):
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lv2_name = child.get('lv2', '')
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lv2_stocks = set()
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if 'children' in child:
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for lv3_child in child.get('children', []):
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lv3_name = lv3_child.get('lv3', '')
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lv3_stocks = set()
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for concept_name in lv3_child.get('concepts', []):
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if concept_name in concept_to_stocks:
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lv3_stocks.update(concept_to_stocks[concept_name])
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if lv3_stocks:
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parent_concepts.append({
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'concept_id': generate_id(f"lv3_{lv3_name}"),
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'concept_name': f"[三级] {lv3_name}",
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'stocks': list(lv3_stocks),
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'concept_type': 'lv3'
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})
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lv2_stocks.update(lv3_stocks)
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else:
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for concept_name in child.get('concepts', []):
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if concept_name in concept_to_stocks:
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lv2_stocks.update(concept_to_stocks[concept_name])
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if lv2_stocks:
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parent_concepts.append({
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'concept_id': generate_id(f"lv2_{lv2_name}"),
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'concept_name': f"[二级] {lv2_name}",
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'stocks': list(lv2_stocks),
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'concept_type': 'lv2'
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})
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lv1_stocks.update(lv2_stocks)
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if lv1_stocks:
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parent_concepts.append({
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'concept_id': generate_id(f"lv1_{lv1_name}"),
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'concept_name': f"[一级] {lv1_name}",
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'stocks': list(lv1_stocks),
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'concept_type': 'lv1'
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})
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return parent_concepts
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# ==================== 基准价格获取 ====================
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def get_base_prices(stock_codes: list, current_date: str) -> dict:
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"""获取当日的昨收价作为基准（从ea_trade的F002N字段）
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ea_trade表字段说明：
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- F002N: 昨日收盘价
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- F007N: 最近成交价（收盘价）
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- F010N: 涨跌幅
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"""
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if not stock_codes:
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return {}
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# 过滤出有效的6位股票代码
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valid_codes = [code for code in stock_codes if code and len(code) == 6 and code.isdigit()]
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if not valid_codes:
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return {}
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stock_codes_str = "','".join(valid_codes)
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# 获取当日数据中的昨收价（F002N）
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query = f"""
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SELECT SECCODE, F002N
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FROM ea_trade
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WHERE SECCODE IN ('{stock_codes_str}')
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AND TRADEDATE = (
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SELECT MAX(TRADEDATE)
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FROM ea_trade
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WHERE TRADEDATE <= '{current_date}'
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)
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AND F002N IS NOT NULL AND F002N > 0
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"""
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try:
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with MYSQL_ENGINE.connect() as conn:
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result = conn.execute(text(query))
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base_prices = {row[0]: float(row[1]) for row in result if row[1] and float(row[1]) > 0}
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logger.info(f"获取到 {len(base_prices)} 个基准价格")
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return base_prices
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except Exception as e:
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logger.error(f"获取基准价格失败: {e}")
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return {}
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# ==================== 实时价格获取 ====================
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def get_latest_prices(stock_codes: list) -> dict:
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"""从ClickHouse获取最新分钟数据的收盘价
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Args:
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stock_codes: 纯6位股票代码列表（如 ['000001', '600000']）
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Returns:
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dict: {纯6位代码: {'close': 价格, 'timestamp': 时间}}
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"""
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if not stock_codes:
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return {}
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client = get_ch_client()
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# 转换为ClickHouse格式的代码（带后缀）
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ch_codes = []
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code_mapping = {} # ch_code -> pure_code
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for code in stock_codes:
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ch_code = code_to_ch_format(code)
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if ch_code:
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ch_codes.append(ch_code)
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code_mapping[ch_code] = code
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if not ch_codes:
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logger.warning("没有有效的股票代码可查询")
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return {}
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ch_codes_str = "','".join(ch_codes)
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# 获取今日最新的分钟数据
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query = f"""
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SELECT code, close, timestamp
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FROM (
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SELECT code, close, timestamp,
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ROW_NUMBER() OVER (PARTITION BY code ORDER BY timestamp DESC) as rn
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FROM stock_minute
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WHERE code IN ('{ch_codes_str}')
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AND toDate(timestamp) = today()
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)
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WHERE rn = 1
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"""
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try:
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result = client.execute(query)
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if not result:
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return {}
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latest_prices = {}
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for row in result:
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ch_code, close, ts = row
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if close and close > 0:
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# 转回纯6位代码
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pure_code = code_mapping.get(ch_code)
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if pure_code:
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latest_prices[pure_code] = {
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'close': float(close),
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'timestamp': ts
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}
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return latest_prices
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except Exception as e:
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logger.error(f"获取最新价格失败: {e}")
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return {}
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# ==================== 涨跌幅计算 ====================
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def calculate_change_pct(base_prices: dict, latest_prices: dict) -> dict:
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"""计算涨跌幅"""
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changes = {}
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for code, latest in latest_prices.items():
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if code in base_prices and base_prices[code] > 0:
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base = base_prices[code]
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close = latest['close']
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change_pct = (close - base) / base * 100
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changes[code] = round(change_pct, 4)
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return changes
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def calculate_concept_stats(concepts: list, stock_changes: dict, trade_date: str) -> list:
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"""计算所有概念的涨跌幅统计"""
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stats = []
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for concept in concepts:
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concept_id = concept['concept_id']
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concept_name = concept['concept_name']
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stock_codes = concept['stocks']
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concept_type = concept.get('concept_type', 'leaf')
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# 获取该概念股票的涨跌幅
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changes = [stock_changes[code] for code in stock_codes if code in stock_changes]
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if not changes:
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continue
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avg_change_pct = round(np.mean(changes), 4)
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stock_count = len(changes)
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stats.append({
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'concept_id': concept_id,
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'concept_name': concept_name,
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'trade_date': trade_date,
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'avg_change_pct': avg_change_pct,
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'stock_count': stock_count,
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'concept_type': concept_type
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})
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return stats
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# ==================== MySQL更新 ====================
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def update_mysql_stats(stats: list):
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"""更新MySQL的concept_daily_stats表"""
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if not stats:
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return 0
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with MYSQL_ENGINE.begin() as conn:
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updated = 0
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for item in stats:
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upsert_sql = text("""
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REPLACE INTO concept_daily_stats
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(concept_id, concept_name, trade_date, avg_change_pct, stock_count, concept_type)
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VALUES (:concept_id, :concept_name, :trade_date, :avg_change_pct, :stock_count, :concept_type)
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""")
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conn.execute(upsert_sql, item)
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updated += 1
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return updated
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# ==================== 交易时间判断 ====================
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def is_trading_time() -> bool:
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"""判断当前是否为交易时间"""
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now = datetime.now()
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weekday = now.weekday()
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# 周末不交易
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if weekday >= 5:
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return False
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hour, minute = now.hour, now.minute
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current_time = hour * 60 + minute
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# 上午 9:30 - 11:30
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morning_start = 9 * 60 + 30
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morning_end = 11 * 60 + 30
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# 下午 13:00 - 15:00
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afternoon_start = 13 * 60
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afternoon_end = 15 * 60
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return (morning_start <= current_time <= morning_end) or \
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(afternoon_start <= current_time <= afternoon_end)
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def get_next_update_time() -> int:
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"""获取距离下次更新的秒数"""
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now = datetime.now()
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if is_trading_time():
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# 交易时间内，等到下一分钟
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return 60 - now.second
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else:
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# 非交易时间
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hour, minute = now.hour, now.minute
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# 计算距离下次交易开始的时间
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if hour < 9 or (hour == 9 and minute < 30):
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# 等到9:30
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target = now.replace(hour=9, minute=30, second=0, microsecond=0)
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elif (hour == 11 and minute >= 30) or hour == 12:
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# 等到13:00
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target = now.replace(hour=13, minute=0, second=0, microsecond=0)
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elif hour >= 15:
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# 等到明天9:30
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target = (now + timedelta(days=1)).replace(hour=9, minute=30, second=0, microsecond=0)
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else:
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target = now + timedelta(minutes=1)
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wait_seconds = (target - now).total_seconds()
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return max(60, int(wait_seconds))
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# ==================== 主运行逻辑 ====================
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def run_once(concepts: list, all_stocks: list) -> int:
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"""执行一次更新"""
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now = datetime.now()
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trade_date = now.strftime('%Y-%m-%d')
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# 获取基准价格（昨日收盘价）
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base_prices = get_base_prices(all_stocks, trade_date)
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if not base_prices:
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logger.warning("无法获取基准价格")
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return 0
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# 获取最新价格
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latest_prices = get_latest_prices(all_stocks)
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if not latest_prices:
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logger.warning("无法获取最新价格")
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return 0
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# 计算涨跌幅
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stock_changes = calculate_change_pct(base_prices, latest_prices)
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if not stock_changes:
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logger.warning("无涨跌幅数据")
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return 0
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logger.info(f"获取到 {len(stock_changes)} 只股票的涨跌幅")
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# 计算概念统计
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stats = calculate_concept_stats(concepts, stock_changes, trade_date)
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logger.info(f"计算了 {len(stats)} 个概念的涨跌幅")
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# 更新MySQL
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updated = update_mysql_stats(stats)
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logger.info(f"更新了 {updated} 条记录到MySQL")
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return updated
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def run_realtime():
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"""实时更新主循环"""
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logger.info("=" * 60)
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logger.info("启动概念涨跌幅实时更新服务")
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logger.info("=" * 60)
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# 加载概念数据
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logger.info("加载概念数据...")
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leaf_concepts = get_all_concepts()
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logger.info(f"获取到 {len(leaf_concepts)} 个叶子概念")
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parent_concepts = load_hierarchy_concepts(leaf_concepts)
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logger.info(f"生成了 {len(parent_concepts)} 个母概念")
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all_concepts = leaf_concepts + parent_concepts
|
||
logger.info(f"总计 {len(all_concepts)} 个概念")
|
||
|
||
# 收集所有股票代码
|
||
all_stocks = set()
|
||
for c in all_concepts:
|
||
all_stocks.update(c['stocks'])
|
||
all_stocks = list(all_stocks)
|
||
logger.info(f"监控 {len(all_stocks)} 只股票")
|
||
|
||
last_concept_update = datetime.now()
|
||
|
||
while True:
|
||
try:
|
||
now = datetime.now()
|
||
|
||
# 每小时重新加载概念数据
|
||
if (now - last_concept_update).total_seconds() > 3600:
|
||
logger.info("重新加载概念数据...")
|
||
leaf_concepts = get_all_concepts()
|
||
parent_concepts = load_hierarchy_concepts(leaf_concepts)
|
||
all_concepts = leaf_concepts + parent_concepts
|
||
all_stocks = set()
|
||
for c in all_concepts:
|
||
all_stocks.update(c['stocks'])
|
||
all_stocks = list(all_stocks)
|
||
last_concept_update = now
|
||
logger.info(f"更新完成: {len(all_concepts)} 个概念, {len(all_stocks)} 只股票")
|
||
|
||
# 检查是否交易时间
|
||
if not is_trading_time():
|
||
wait_sec = get_next_update_time()
|
||
wait_min = wait_sec // 60
|
||
logger.info(f"非交易时间，等待 {wait_min} 分钟后重试...")
|
||
time.sleep(min(wait_sec, 300)) # 最多等5分钟再检查
|
||
continue
|
||
|
||
# 执行更新
|
||
logger.info(f"\n{'=' * 40}")
|
||
logger.info(f"更新时间: {now.strftime('%Y-%m-%d %H:%M:%S')}")
|
||
updated = run_once(all_concepts, all_stocks)
|
||
|
||
# 等待下一分钟
|
||
sleep_sec = 60 - datetime.now().second
|
||
logger.info(f"完成，等待 {sleep_sec} 秒后继续...")
|
||
time.sleep(sleep_sec)
|
||
|
||
except KeyboardInterrupt:
|
||
logger.info("\n收到退出信号，停止服务...")
|
||
break
|
||
except Exception as e:
|
||
logger.error(f"发生错误: {e}")
|
||
import traceback
|
||
traceback.print_exc()
|
||
time.sleep(60)
|
||
|
||
|
||
def run_single():
|
||
"""单次运行（不循环）"""
|
||
logger.info("单次更新模式")
|
||
|
||
leaf_concepts = get_all_concepts()
|
||
parent_concepts = load_hierarchy_concepts(leaf_concepts)
|
||
all_concepts = leaf_concepts + parent_concepts
|
||
|
||
all_stocks = set()
|
||
for c in all_concepts:
|
||
all_stocks.update(c['stocks'])
|
||
all_stocks = list(all_stocks)
|
||
|
||
logger.info(f"概念数: {len(all_concepts)}, 股票数: {len(all_stocks)}")
|
||
|
||
updated = run_once(all_concepts, all_stocks)
|
||
logger.info(f"更新完成: {updated} 条记录")
|
||
|
||
|
||
def show_status():
|
||
"""显示当前状态"""
|
||
print("\n" + "=" * 60)
|
||
print("概念涨跌幅实时更新服务 - 状态")
|
||
print("=" * 60)
|
||
|
||
# 当前时间
|
||
now = datetime.now()
|
||
print(f"\n当前时间: {now.strftime('%Y-%m-%d %H:%M:%S')}")
|
||
print(f"是否交易时间: {'是' if is_trading_time() else '否'}")
|
||
|
||
# MySQL数据状态
|
||
print("\nMySQL数据状态:")
|
||
try:
|
||
with MYSQL_ENGINE.connect() as conn:
|
||
# 今日数据量
|
||
result = conn.execute(text("""
|
||
SELECT concept_type, COUNT(*) as cnt
|
||
FROM concept_daily_stats
|
||
WHERE trade_date = CURDATE()
|
||
GROUP BY concept_type
|
||
"""))
|
||
rows = list(result)
|
||
if rows:
|
||
print(" 今日数据:")
|
||
for row in rows:
|
||
print(f" {row[0]}: {row[1]} 条")
|
||
else:
|
||
print(" 今日暂无数据")
|
||
|
||
# 最新更新时间
|
||
result = conn.execute(text("""
|
||
SELECT MAX(updated_at) FROM concept_daily_stats WHERE trade_date = CURDATE()
|
||
"""))
|
||
row = result.fetchone()
|
||
if row and row[0]:
|
||
print(f" 最后更新: {row[0]}")
|
||
except Exception as e:
|
||
print(f" 查询失败: {e}")
|
||
|
||
# ClickHouse数据状态
|
||
print("\nClickHouse数据状态:")
|
||
try:
|
||
client = get_ch_client()
|
||
result = client.execute("""
|
||
SELECT COUNT(*), MAX(timestamp)
|
||
FROM stock_minute
|
||
WHERE toDate(timestamp) = today()
|
||
""")
|
||
if result:
|
||
count, max_ts = result[0]
|
||
print(f" 今日分钟数据: {count:,} 条")
|
||
print(f" 最新时间戳: {max_ts}")
|
||
except Exception as e:
|
||
print(f" 查询失败: {e}")
|
||
|
||
# 今日涨跌幅TOP10
|
||
print("\n今日涨跌幅 TOP10:")
|
||
try:
|
||
with MYSQL_ENGINE.connect() as conn:
|
||
result = conn.execute(text("""
|
||
SELECT concept_name, avg_change_pct, stock_count, concept_type
|
||
FROM concept_daily_stats
|
||
WHERE trade_date = CURDATE() AND concept_type = 'leaf'
|
||
ORDER BY avg_change_pct DESC
|
||
LIMIT 10
|
||
"""))
|
||
rows = list(result)
|
||
if rows:
|
||
print(f" {'概念':<25} | {'涨跌幅':>8} | {'股票数':>6}")
|
||
print(" " + "-" * 50)
|
||
for row in rows:
|
||
name = row[0][:25] if len(row[0]) > 25 else row[0]
|
||
print(f" {name:<25} | {row[1]:>7.2f}% | {row[2]:>6}")
|
||
else:
|
||
print(" 暂无数据")
|
||
except Exception as e:
|
||
print(f" 查询失败: {e}")
|
||
|
||
|
||
# ==================== 主函数 ====================
|
||
|
||
def main():
|
||
parser = argparse.ArgumentParser(description='概念涨跌幅实时更新服务')
|
||
parser.add_argument('command', nargs='?', default='realtime',
|
||
choices=['realtime', 'once', 'status'],
|
||
help='命令: realtime(实时运行), once(单次运行), status(状态查看)')
|
||
|
||
args = parser.parse_args()
|
||
|
||
if args.command == 'realtime':
|
||
run_realtime()
|
||
elif args.command == 'once':
|
||
run_single()
|
||
elif args.command == 'status':
|
||
show_status()
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|