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DR-lin-eng
139
templates/index.html
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139
templates/index.html
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>股票分析系统</title>
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<link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">
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</head>
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<body class="bg-gray-100">
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<div class="container mx-auto px-4 py-8">
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<h1 class="text-3xl font-bold mb-8 text-center">股票分析系统</h1>
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<div class="grid grid-cols-1 md:grid-cols-2 gap-8">
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<!-- 单只股票分析 -->
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<div class="bg-white p-6 rounded-lg shadow-md">
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<h2 class="text-xl font-semibold mb-4">单只股票分析</h2>
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<div class="mb-4">
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<input type="text" id="singleStock"
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class="w-full p-2 border rounded"
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placeholder="输入股票代码（如：600000）">
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</div>
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<button onclick="analyzeSingleStock()"
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class="w-full bg-blue-600 text-white py-2 rounded hover:bg-blue-700">
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分析
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</button>
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</div>
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<!-- 批量分析 -->
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<div class="bg-white p-6 rounded-lg shadow-md">
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<h2 class="text-xl font-semibold mb-4">批量股票分析</h2>
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<div class="mb-4">
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<textarea id="batchStocks"
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class="w-full p-2 border rounded h-32"
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placeholder="输入多个股票代码，每行一个"></textarea>
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</div>
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<button onclick="analyzeBatchStocks()"
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class="w-full bg-blue-600 text-white py-2 rounded hover:bg-blue-700">
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批量分析
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</button>
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</div>
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</div>
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<!-- 结果展示 -->
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<div id="results" class="mt-8 bg-white p-6 rounded-lg shadow-md">
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<h2 class="text-xl font-semibold mb-4">分析结果</h2>
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<div id="resultContent" class="prose"></div>
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</div>
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</div>
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<script>
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async function analyzeSingleStock() {
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const stockCode = document.getElementById('singleStock').value.trim();
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if (!stockCode) {
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alert('请输入股票代码');
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return;
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}
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try {
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const response = await fetch('/api/analyze', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({ stock_code: stockCode })
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});
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const result = await response.json();
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if (response.ok) {
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displayResults([result]);
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} else {
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alert(result.error || '分析失败');
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}
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} catch (error) {
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alert('请求失败: ' + error.message);
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}
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}
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async function analyzeBatchStocks() {
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const stocksText = document.getElementById('batchStocks').value.trim();
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if (!stocksText) {
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alert('请输入股票代码');
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return;
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}
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const stockList = stocksText.split('\n').map(s => s.trim()).filter(s => s);
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try {
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const response = await fetch('/api/batch-analyze', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({ stock_list: stockList })
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});
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const results = await response.json();
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if (response.ok) {
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displayResults(results);
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} else {
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alert(results.error || '分析失败');
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}
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} catch (error) {
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alert('请求失败: ' + error.message);
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}
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}
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function displayResults(results) {
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const resultContent = document.getElementById('resultContent');
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let html = '';
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results.forEach(result => {
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html += `
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<div class="mb-8 p-4 border rounded">
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<h3 class="text-lg font-semibold mb-2">股票代码: ${result.stock_code}</h3>
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<div class="grid grid-cols-2 gap-4">
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<div>
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<p><strong>分析日期:</strong> ${result.analysis_date}</p>
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<p><strong>当前价格:</strong> ¥${result.price.toFixed(2)}</p>
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<p><strong>价格变动:</strong> ${result.price_change.toFixed(2)}%</p>
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</div>
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<div>
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<p><strong>综合评分:</strong> ${result.score}分</p>
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<p><strong>投资建议:</strong> ${result.recommendation}</p>
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<p><strong>RSI指标:</strong> ${result.rsi.toFixed(2)}</p>
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</div>
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</div>
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<div class="mt-4">
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<h4 class="font-semibold mb-2">AI分析:</h4>
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<p class="whitespace-pre-line">${result.ai_analysis}</p>
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</div>
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</div>
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`;
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});
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resultContent.innerHTML = html;
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}
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</script>
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</body>
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</html>
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39
web_app.py
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39
web_app.py
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from flask import Flask, request, jsonify, render_template
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from stock_analyzer import StockAnalyzer
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import os
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app = Flask(__name__)
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analyzer = StockAnalyzer()
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@app.route('/')
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def index():
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return render_template('index.html')
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@app.route('/api/analyze', methods=['POST'])
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def analyze():
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try:
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data = request.json
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stock_code = data.get('stock_code')
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if not stock_code:
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return jsonify({'error': '请提供股票代码'}), 400
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result = analyzer.analyze_stock(stock_code)
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return jsonify(result)
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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@app.route('/api/batch-analyze', methods=['POST'])
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def batch_analyze():
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try:
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data = request.json
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stock_list = data.get('stock_list', [])
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if not stock_list:
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return jsonify({'error': '请提供股票代码列表'}), 400
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results = analyzer.scan_market(stock_list)
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return jsonify(results)
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except Exception as e:
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return jsonify({'error': str(e)}), 500
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=8443)
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