分拆了index
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jackyu66git
+1
-138
@@ -2128,144 +2128,7 @@ def debug_replay_structure():
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except Exception as e:
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return jsonify({'error': str(e)})
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@app.route('/api/filter_stocks', methods=['POST'])
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def filter_stocks():
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"""筛选满足条件的A股股票"""
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try:
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data = request.get_json()
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start_time = data.get('start_time')
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end_time = data.get('end_time')
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timeframe = data.get('timeframe', '1d')
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fx_strength_threshold = data.get('fx_strength_threshold', 1.0)
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if not start_time or not end_time:
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return jsonify({'error': '开始时间和结束时间不能为空'})
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# 获取所有A股股票列表，如果失败则使用热门股票作为备用
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stock_list = []
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data_source = ""
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try:
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stock_list = china_stock.get_stock_list()
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if stock_list and len(stock_list) > 0:
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data_source = "完整股票列表"
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else:
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raise Exception("获取到的股票列表为空")
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except Exception as e:
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try:
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popular_stocks = china_stock.get_popular_stocks()
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stock_list = [{'symbol': stock['symbol'], 'name': stock['name']} for stock in popular_stocks]
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data_source = "热门股票列表"
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except Exception as e2:
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# 检查是否是网络连接问题
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if "timeout" in str(e).lower() or "connection" in str(e).lower() or "network" in str(e).lower():
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return jsonify({
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'error': '网络连接超时，无法获取股票数据。请检查网络连接后重试。',
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'error_type': 'network_error',
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'suggestion': '请确保网络连接正常，或稍后重试。'
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})
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else:
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return jsonify({'error': f'无法获取股票列表: {str(e)}'})
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if not stock_list:
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return jsonify({
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'error': '无法获取股票列表，请检查网络连接后重试',
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'error_type': 'network_error',
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'suggestion': '请确保网络连接正常，或稍后重试。'
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})
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results = []
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processed_count = 0
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total_count = len(stock_list)
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failed_count = 0
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for stock in stock_list:
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try:
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symbol = stock['symbol']
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name = stock['name']
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processed_count += 1
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# 获取股票K线数据
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df = get_a_stock_kl_data(symbol, timeframe, start_time=start_time, end_time=end_time)
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if df is None or len(df) < 3:
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failed_count += 1
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# 如果连续失败太多，可能是网络问题
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if failed_count > 10 and len(results) == 0:
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return jsonify({
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'error': '网络连接不稳定，无法获取股票数据。请检查网络连接后重试。',
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'error_type': 'network_error',
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'processed_count': processed_count,
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'failed_count': failed_count
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})
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continue
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# 进行缠论分析
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analysis_result = analyze_chan(df, symbol, timeframe)
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if not analysis_result or 'klc_fx_info' not in analysis_result:
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continue
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klc_fx_info = analysis_result['klc_fx_info']
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# 检查最近2个KLC是否有满足条件的分型
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recent_klcs = klc_fx_info[-2:] if len(klc_fx_info) >= 2 else klc_fx_info
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for klc_info in recent_klcs:
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fx_strength = klc_info.get('fx_strength', 0)
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fx_type = klc_info.get('fx_type', 'UNKNOWN')
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# 检查是否满足条件：分型强度>=阈值 且 分型类型不为UNKNOWN
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if fx_strength >= fx_strength_threshold and fx_type != 'UNKNOWN':
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# 获取当前价格（最新收盘价）
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current_price = df['close'].iloc[-1] if len(df) > 0 else None
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fx_price = klc_info.get('price', 0)
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# 计算涨跌幅
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change_percent = 0
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if current_price and fx_price and fx_price > 0:
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change_percent = ((current_price - fx_price) / fx_price) * 100
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# 格式化分型类型显示
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fx_type_display = format_fx_type(fx_type)
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results.append({
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'symbol': symbol,
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'name': name,
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'fx_time': klc_info.get('time', ''),
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'fx_type': fx_type_display,
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'fx_strength': fx_strength,
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'fx_price': fx_price,
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'current_price': current_price,
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'change_percent': change_percent
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})
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break # 找到一个满足条件的就跳出循环
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except Exception as e:
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failed_count += 1
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continue
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# 按分型强度降序排列
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results.sort(key=lambda x: x['fx_strength'], reverse=True)
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return jsonify({
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'results': results,
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'total_processed': processed_count,
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'total_found': len(results),
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'failed_count': failed_count,
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'data_source': data_source,
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'message': f'使用{data_source}进行筛选，共处理{processed_count}只股票，找到{len(results)}只满足条件的股票'
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})
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except Exception as e:
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# 检查是否是网络连接问题
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if "timeout" in str(e).lower() or "connection" in str(e).lower() or "network" in str(e).lower():
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return jsonify({
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'error': '网络连接超时，请检查网络连接后重试。',
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'error_type': 'network_error',
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'suggestion': '请确保网络连接正常，或稍后重试。'
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})
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else:
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return jsonify({'error': str(e)})
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# 已移除：/api/filter_stocks 路由
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def get_uncompleted_seg_list(seg_list, client_tz):
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"""获取未完成线段列表，正确处理倒数第二个和最后一个未完成线段"""
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