update pay ui
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3
.gitignore
vendored
3
.gitignore
vendored
@@ -60,3 +60,6 @@ src/assets/img/original-backup/
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# 涨停分析静态数据（由 export_zt_data.py 生成，不提交到 Git）
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public/data/zt/
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# 概念涨跌幅静态数据（由 export_concept_data.py 生成，不提交到 Git）
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public/data/concept/
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189
export_concept_data.py
Normal file
189
export_concept_data.py
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@@ -0,0 +1,189 @@
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#!/usr/bin/env python3
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"""
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概念涨跌幅数据导出脚本
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从 MySQL 导出最新的热门概念数据到静态 JSON 文件
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使用方法：
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python export_concept_data.py # 导出最新数据
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python export_concept_data.py --limit 100 # 限制导出数量
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输出：public/data/concept/latest.json
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"""
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import os
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import json
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import argparse
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import pymysql
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from datetime import datetime
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import logging
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# 配置
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MYSQL_CONFIG = {
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'host': '192.168.1.5',
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'port': 3306,
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'user': 'root',
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'password': 'Zzl5588161!',
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'db': 'stock',
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'charset': 'utf8mb4',
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}
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# 输出文件路径
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OUTPUT_FILE = os.path.join(
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os.path.dirname(os.path.abspath(__file__)),
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'public', 'data', 'concept', 'latest.json'
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)
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# 层级结构文件
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HIERARCHY_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'concept_hierarchy_v3.json')
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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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)
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logger = logging.getLogger(__name__)
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# 层级映射缓存
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concept_to_hierarchy = {}
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def load_hierarchy():
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"""加载层级结构"""
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global concept_to_hierarchy
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if not os.path.exists(HIERARCHY_FILE):
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logger.warning(f"层级文件不存在: {HIERARCHY_FILE}")
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return
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try:
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with open(HIERARCHY_FILE, 'r', encoding='utf-8') as f:
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hierarchy_data = json.load(f)
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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_id = lv1.get('lv1_id', '')
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for child in lv1.get('children', []):
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lv2_name = child.get('lv2', '')
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lv2_id = child.get('lv2_id', '')
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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_id = lv3_child.get('lv3_id', '')
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for concept in lv3_child.get('concepts', []):
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concept_to_hierarchy[concept] = {
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'lv1': lv1_name,
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'lv1_id': lv1_id,
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'lv2': lv2_name,
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'lv2_id': lv2_id,
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'lv3': lv3_name,
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'lv3_id': lv3_id
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}
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else:
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for concept in child.get('concepts', []):
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concept_to_hierarchy[concept] = {
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'lv1': lv1_name,
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'lv1_id': lv1_id,
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'lv2': lv2_name,
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'lv2_id': lv2_id,
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'lv3': None,
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'lv3_id': None
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}
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logger.info(f"加载层级结构完成，共 {len(concept_to_hierarchy)} 个概念")
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except Exception as e:
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logger.error(f"加载层级结构失败: {e}")
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def get_connection():
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"""获取数据库连接"""
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return pymysql.connect(**MYSQL_CONFIG)
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def export_latest(limit=100):
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"""导出最新的热门概念数据"""
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conn = get_connection()
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try:
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with conn.cursor(pymysql.cursors.DictCursor) as cursor:
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# 获取最新交易日期
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cursor.execute("""
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SELECT MAX(trade_date) as max_date
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FROM concept_daily_stats
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WHERE concept_type = 'leaf'
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""")
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result = cursor.fetchone()
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if not result or not result['max_date']:
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logger.error("无可用数据")
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return None
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trade_date = result['max_date']
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logger.info(f"最新交易日期: {trade_date}")
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# 按涨跌幅降序获取概念列表
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cursor.execute("""
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SELECT
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concept_id,
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concept_name,
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concept_type,
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trade_date,
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avg_change_pct,
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stock_count
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FROM concept_daily_stats
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WHERE trade_date = %s AND concept_type = 'leaf'
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ORDER BY avg_change_pct DESC
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LIMIT %s
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""", (trade_date, limit))
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rows = cursor.fetchall()
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concepts = []
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for row in rows:
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concept_name = row['concept_name']
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hierarchy = concept_to_hierarchy.get(concept_name)
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concepts.append({
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'concept_id': row['concept_id'],
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'concept': concept_name,
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'price_info': {
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'trade_date': row['trade_date'].strftime('%Y-%m-%d'),
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'avg_change_pct': float(row['avg_change_pct']) if row['avg_change_pct'] else None
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},
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'stock_count': row['stock_count'],
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'hierarchy': hierarchy
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})
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data = {
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'trade_date': trade_date.strftime('%Y-%m-%d'),
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'total': len(concepts),
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'results': concepts,
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'updated_at': datetime.now().isoformat()
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}
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# 确保目录存在
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os.makedirs(os.path.dirname(OUTPUT_FILE), exist_ok=True)
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# 保存文件
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with open(OUTPUT_FILE, 'w', encoding='utf-8') as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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logger.info(f"已保存: {OUTPUT_FILE} ({len(concepts)} 个概念)")
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return data
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finally:
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conn.close()
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def main():
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parser = argparse.ArgumentParser(description='导出热门概念涨跌幅数据')
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parser.add_argument('--limit', type=int, default=100, help='导出的概念数量限制')
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args = parser.parse_args()
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load_hierarchy()
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export_latest(args.limit)
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logger.info("导出完成!")
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if __name__ == '__main__':
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main()
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116
src/services/conceptStaticService.js
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116
src/services/conceptStaticService.js
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@@ -0,0 +1,116 @@
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/**
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* 概念涨跌幅静态数据服务
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* 从 /data/concept/ 目录读取预生成的 JSON 文件
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* 不依赖后端 API，适合静态部署
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*/
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// 数据基础路径
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const DATA_BASE_URL = '/data/concept';
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// 内存缓存
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const cache = {
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latest: null,
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dates: null,
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daily: new Map(),
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};
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/**
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* 获取最新的热门概念数据
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* 这是 HeroPanel 滚动窗口的主要数据源
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*/
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export const fetchPopularConcepts = async () => {
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try {
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// 使用缓存
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if (cache.latest) {
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return { success: true, data: cache.latest, from_cache: true };
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}
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const response = await fetch(`${DATA_BASE_URL}/latest.json`);
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}`);
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}
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const data = await response.json();
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// 缓存结果
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cache.latest = data;
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return { success: true, data, from_cache: false };
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} catch (error) {
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console.error('[conceptStaticService] fetchPopularConcepts error:', error);
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return { success: false, error: error.message, data: null };
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}
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};
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/**
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* 获取可用日期列表
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*/
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export const fetchAvailableDates = async () => {
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try {
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// 使用缓存
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if (cache.dates) {
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return { success: true, dates: cache.dates };
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}
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const response = await fetch(`${DATA_BASE_URL}/dates.json`);
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if (!response.ok) {
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throw new Error(`HTTP ${response.status}`);
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}
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const data = await response.json();
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// 缓存结果
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cache.dates = data.dates || [];
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return { success: true, dates: cache.dates, total: data.total };
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} catch (error) {
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console.error('[conceptStaticService] fetchAvailableDates error:', error);
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return { success: false, error: error.message, dates: [] };
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}
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};
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/**
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* 获取指定日期的概念数据
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*/
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export const fetchDailyConcepts = async (date) => {
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try {
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// 使用缓存
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if (cache.daily.has(date)) {
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return { success: true, data: cache.daily.get(date), from_cache: true };
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}
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const response = await fetch(`${DATA_BASE_URL}/daily/${date}.json`);
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if (!response.ok) {
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if (response.status === 404) {
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return { success: false, error: `日期 ${date} 的数据不存在` };
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}
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throw new Error(`HTTP ${response.status}`);
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}
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const data = await response.json();
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// 缓存结果
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cache.daily.set(date, data);
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return { success: true, data, from_cache: false };
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} catch (error) {
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console.error('[conceptStaticService] fetchDailyConcepts error:', error);
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return { success: false, error: error.message };
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}
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};
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/**
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* 清除缓存
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*/
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export const clearCache = () => {
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cache.latest = null;
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cache.dates = null;
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cache.daily.clear();
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};
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export default {
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fetchPopularConcepts,
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fetchAvailableDates,
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fetchDailyConcepts,
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clearCache,
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};
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@@ -30,6 +30,7 @@ import ReactECharts from 'echarts-for-react';
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import { logger } from '@utils/logger';
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import { getApiBase } from '@utils/apiConfig';
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import { useIndexQuote } from '@hooks/useIndexQuote';
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import conceptStaticService from '@services/conceptStaticService';
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// 定义动画
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const animations = `
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@@ -74,18 +75,13 @@ const fetchIndexKline = async (indexCode) => {
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};
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/**
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* 获取热门概念数据
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* 获取热门概念数据（使用静态文件）
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*/
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const fetchPopularConcepts = async () => {
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try {
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const response = await fetch(`${getApiBase()}/concept-api/search`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ query: '', size: 60, page: 1, sort_by: 'change_pct' })
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});
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const data = await response.json();
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if (data.results?.length > 0) {
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return data.results.map(item => ({
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const result = await conceptStaticService.fetchPopularConcepts();
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if (result.success && result.data?.results?.length > 0) {
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return result.data.results.map(item => ({
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name: item.concept,
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change_pct: item.price_info?.avg_change_pct || 0,
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}));
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