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import os
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import tempfile
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import base64
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import re
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from datetime import datetime
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import streamlit as st
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def generate_markdown_report(stock_info, agents_results, discussion_result, final_decision):
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"""生成Markdown格式的分析报告"""
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# 获取当前时间
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current_time = datetime.now().strftime("%Y年%m月%d日 %H:%M:%S")
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markdown_content = f"""
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# AI股票分析报告
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**生成时间**: {current_time}
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---
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## 📊 股票基本信息
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| 项目 | 值 |
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|------|-----|
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| **股票代码** | {stock_info.get('symbol', 'N/A')} |
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| **股票名称** | {stock_info.get('name', 'N/A')} |
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| **当前价格** | {stock_info.get('current_price', 'N/A')} |
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| **涨跌幅** | {stock_info.get('change_percent', 'N/A')}% |
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| **市盈率(PE)** | {stock_info.get('pe_ratio', 'N/A')} |
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| **市净率(PB)** | {stock_info.get('pb_ratio', 'N/A')} |
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| **市值** | {stock_info.get('market_cap', 'N/A')} |
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| **市场** | {stock_info.get('market', 'N/A')} |
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| **交易所** | {stock_info.get('exchange', 'N/A')} |
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---
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## 🔍 各分析师详细分析
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"""
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# 添加各分析师的分析结果
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agent_names = {
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'technical': '📈 技术分析师',
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'fundamental': '📊 基本面分析师',
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'fund_flow': '💰 资金面分析师',
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'risk_management': '⚠️ 风险管理师',
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'market_sentiment': '📈 市场情绪分析师'
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}
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for agent_key, agent_name in agent_names.items():
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if agent_key in agents_results:
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agent_result = agents_results[agent_key]
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if isinstance(agent_result, dict):
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analysis_text = agent_result.get('analysis', '暂无分析')
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else:
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analysis_text = str(agent_result)
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markdown_content += f"""
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### {agent_name}
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{analysis_text}
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---
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"""
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# 添加团队讨论结果
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markdown_content += f"""
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## 🤝 团队综合讨论
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{discussion_result}
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---
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## 📋 最终投资决策
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"""
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# 处理最终决策的显示
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if isinstance(final_decision, dict) and "decision_text" not in final_decision:
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# JSON格式的决策
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markdown_content += f"""
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**投资评级**: {final_decision.get('rating', '未知')}
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**目标价位**: {final_decision.get('target_price', 'N/A')}
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**操作建议**: {final_decision.get('operation_advice', '暂无建议')}
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**进场区间**: {final_decision.get('entry_range', 'N/A')}
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**止盈位**: {final_decision.get('take_profit', 'N/A')}
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**止损位**: {final_decision.get('stop_loss', 'N/A')}
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**持有周期**: {final_decision.get('holding_period', 'N/A')}
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**仓位建议**: {final_decision.get('position_size', 'N/A')}
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**信心度**: {final_decision.get('confidence_level', 'N/A')}/10
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**风险提示**: {final_decision.get('risk_warning', '无')}
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"""
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else:
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# 文本格式的决策
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decision_text = final_decision.get('decision_text', str(final_decision))
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markdown_content += decision_text
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markdown_content += """
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---
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## 📝 免责声明
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本报告由AI系统生成，仅供参考，不构成投资建议。投资有风险，入市需谨慎。请在做出投资决策前咨询专业的投资顾问。
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---
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*报告生成时间: {current_time}*
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*AI股票分析系统 v1.0*
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"""
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return markdown_content
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def create_download_link(content, filename, link_text):
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"""创建下载链接"""
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b64 = base64.b64encode(content.encode()).decode()
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href = f'<a href="data:text/markdown;base64,{b64}" download="{filename}" style="display: inline-block; padding: 10px 20px; background-color: #4CAF50; color: white; text-decoration: none; border-radius: 5px; margin: 5px;">{link_text}</a>'
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return href
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def create_html_download_link(content, filename, link_text):
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"""创建HTML下载链接"""
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b64 = base64.b64encode(content.encode('utf-8')).decode()
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href = f'<a href="data:text/html;base64,{b64}" download="{filename}" style="display: inline-block; padding: 10px 20px; background-color: #2196F3; color: white; text-decoration: none; border-radius: 5px; margin: 5px;">{link_text}</a>'
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return href
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def generate_html_content(markdown_content):
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"""将Markdown转换为HTML"""
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html_content = f"""
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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="UTF-8">
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<title>AI股票分析报告</title>
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<style>
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body {{
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font-family: 'Microsoft YaHei', Arial, sans-serif;
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line-height: 1.6;
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max-width: 800px;
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margin: 0 auto;
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padding: 20px;
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background-color: #f5f5f5;
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}}
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.container {{
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background-color: white;
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padding: 30px;
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border-radius: 10px;
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box-shadow: 0 2px 10px rgba(0,0,0,0.1);
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}}
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h1 {{
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color: #2c3e50;
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border-bottom: 3px solid #3498db;
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padding-bottom: 10px;
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}}
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h2 {{
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color: #34495e;
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border-left: 4px solid #3498db;
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padding-left: 15px;
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margin-top: 30px;
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}}
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h3 {{
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color: #2980b9;
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margin-top: 25px;
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}}
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table {{
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width: 100%;
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border-collapse: collapse;
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margin: 20px 0;
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}}
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th, td {{
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border: 1px solid #ddd;
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padding: 12px;
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text-align: left;
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}}
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th {{
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background-color: #3498db;
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color: white;
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}}
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tr:nth-child(even) {{
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background-color: #f9f9f9;
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}}
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.disclaimer {{
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background-color: #fff3cd;
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border: 1px solid #ffeaa7;
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border-radius: 5px;
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padding: 15px;
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margin-top: 30px;
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}}
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.footer {{
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text-align: center;
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margin-top: 30px;
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color: #7f8c8d;
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font-style: italic;
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}}
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hr {{
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border: none;
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height: 2px;
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background-color: #ecf0f1;
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margin: 20px 0;
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}}
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strong {{
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color: #2c3e50;
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}}
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</style>
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</head>
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<body>
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<div class="container">
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"""
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# 简单的Markdown到HTML转换
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html_body = markdown_content
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html_body = html_body.replace('\n# ', '\n<h1>').replace('\n## ', '\n<h2>').replace('\n### ', '\n<h3>')
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html_body = html_body.replace('# ', '<h1>').replace('## ', '<h2>').replace('### ', '<h3>')
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html_body = html_body.replace('\n---\n', '\n<hr>\n')
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# 处理粗体文本
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html_body = re.sub(r'\*\*(.*?)\*\*', r'<strong>\1</strong>', html_body)
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# 处理表格
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lines = html_body.split('\n')
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in_table = False
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processed_lines = []
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for line in lines:
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if '|' in line and not in_table and line.strip().startswith('|'):
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processed_lines.append('<table>')
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in_table = True
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cells = [cell.strip() for cell in line.split('|')[1:-1]]
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processed_lines.append('<tr>')
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for cell in cells:
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processed_lines.append(f'<th>{cell}</th>')
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processed_lines.append('</tr>')
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elif '|' in line and in_table:
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if '---' not in line:
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cells = [cell.strip() for cell in line.split('|')[1:-1]]
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processed_lines.append('<tr>')
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for cell in cells:
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processed_lines.append(f'<td>{cell}</td>')
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processed_lines.append('</tr>')
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elif in_table and '|' not in line:
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processed_lines.append('</table>')
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processed_lines.append(line)
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in_table = False
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else:
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processed_lines.append(line)
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if in_table:
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processed_lines.append('</table>')
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html_body = '\n'.join(processed_lines)
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# 处理段落
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paragraphs = html_body.split('\n\n')
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processed_paragraphs = []
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for para in paragraphs:
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para = para.strip()
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if para and not para.startswith('<') and not para.startswith('---'):
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processed_paragraphs.append(f'<p>{para}</p>')
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else:
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processed_paragraphs.append(para)
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html_body = '\n'.join(processed_paragraphs)
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html_content += html_body + """
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</div>
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</body>
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</html>
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"""
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return html_content
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def display_pdf_export_section(stock_info, agents_results, discussion_result, final_decision):
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"""显示PDF导出区域 - 修复报告生成问题"""
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st.markdown("---")
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st.markdown("## 📄 导出分析报告")
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col1, col2, col3 = st.columns([1, 2, 1])
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with col2:
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# 生成报告按钮
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import uuid
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import time
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button_key = f"generate_report_btn_{int(time.time())}_{uuid.uuid4().hex[:8]}"
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if st.button("📊 生成并下载报告", type="primary", use_container_width=True, key=button_key):
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with st.spinner("正在生成报告..."):
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try:
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# 生成Markdown内容
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markdown_content = generate_markdown_report(stock_info, agents_results, discussion_result, final_decision)
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# 生成HTML内容
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html_content = generate_html_content(markdown_content)
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# 生成文件名
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stock_symbol = stock_info.get('symbol', 'unknown')
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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filename = f"股票分析报告_{stock_symbol}_{timestamp}"
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st.success("✅ 报告生成成功！")
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st.balloons()
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# 立即显示下载链接
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st.markdown("### 📄 报告下载")
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# 创建下载链接
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md_link = create_download_link(
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markdown_content,
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f"{filename}.md",
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"📝 下载Markdown报告"
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)
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html_link = create_html_download_link(
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html_content,
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f"{filename}.html",
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"🌐 下载HTML报告"
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)
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# 显示下载链接
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st.markdown(f"""
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<div style="text-align: center; margin: 20px 0;">
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{md_link}
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{html_link}
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</div>
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""", unsafe_allow_html=True)
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st.info("💡 提示：点击上方按钮即可下载对应格式的报告文件")
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except Exception as e:
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st.error(f"❌ 生成报告时出错: {str(e)}")
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import traceback
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st.error(f"详细错误信息: {traceback.format_exc()}")
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