import os import tempfile import base64 from datetime import datetime import streamlit as st def generate_markdown_report(stock_info, agents_results, discussion_result, final_decision): """生成Markdown格式的分析报告""" # 获取当前时间 current_time = datetime.now().strftime("%Y年%m月%d日 %H:%M:%S") markdown_content = f""" # AI股票分析报告 **生成时间**: {current_time} --- ## 📊 股票基本信息 | 项目 | 值 | |------|-----| | **股票代码** | {stock_info.get('symbol', 'N/A')} | | **股票名称** | {stock_info.get('name', 'N/A')} | | **当前价格** | {stock_info.get('current_price', 'N/A')} | | **涨跌幅** | {stock_info.get('change_percent', 'N/A')}% | | **市盈率(PE)** | {stock_info.get('pe_ratio', 'N/A')} | | **市净率(PB)** | {stock_info.get('pb_ratio', 'N/A')} | | **市值** | {stock_info.get('market_cap', 'N/A')} | | **市场** | {stock_info.get('market', 'N/A')} | | **交易所** | {stock_info.get('exchange', 'N/A')} | --- ## 🔍 各分析师详细分析 """ # 添加各分析师的分析结果 agent_names = { 'technical_analyst': '📈 技术分析师', 'fundamental_analyst': '📊 基本面分析师', 'fund_analyst': '💰 资金面分析师', 'risk_analyst': '⚠️ 风险管理师', 'sentiment_analyst': '📈 市场情绪分析师' } for agent_key, agent_name in agent_names.items(): if agent_key in agents_results: markdown_content += f""" ### {agent_name} {agents_results[agent_key]} --- """ # 添加团队讨论结果 markdown_content += f""" ## 🤝 团队综合讨论 {discussion_result} --- ## 📋 最终投资决策 {final_decision} --- ## 📝 免责声明本报告由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。 --- *报告生成时间: {current_time}* *AI股票分析系统 v1.0* """ return markdown_content def create_download_link(content, filename, link_text): """创建下载链接""" b64 = base64.b64encode(content.encode()).decode() href = f'{link_text}' return href def generate_pdf_report(stock_info, agents_results, discussion_result, final_decision): """生成PDF报告并提供下载""" try: # 生成Markdown内容 markdown_content = generate_markdown_report(stock_info, agents_results, discussion_result, final_decision) # 创建临时文件 with tempfile.NamedTemporaryFile(mode='w', suffix='.md', delete=False, encoding='utf-8') as temp_md: temp_md.write(markdown_content) temp_md_path = temp_md.name # 生成文件名 stock_symbol = stock_info.get('symbol', 'unknown') timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") filename = f"股票分析报告_{stock_symbol}_{timestamp}" # 提供Markdown下载 st.markdown("### 📄 报告下载") # Markdown下载链接 md_download_link = create_download_link( markdown_content, f"{filename}.md", "📝 下载Markdown报告" ) st.markdown(md_download_link, unsafe_allow_html=True) # 提供HTML预览和下载 html_content = f""" AI股票分析报告

""" # 将Markdown转换为HTML（简单版本） html_body = markdown_content.replace('\n# ', '\n

').replace('\n## ', '\n

').replace('\n### ', '\n

') html_body = html_body.replace('\n---\n', '\n
\n') html_body = html_body.replace('', '').replace('', '') html_body = html_body.replace('\n\n', '
') html_body = f"
{html_body}
" # 处理表格 lines = html_body.split('\n') in_table = False processed_lines = [] for line in lines: if '|' in line and not in_table: processed_lines.append('') in_table = True if line.strip().startswith('|'): cells = [cell.strip() for cell in line.split('|')[1:-1]] processed_lines.append('') for cell in cells: processed_lines.append(f'') processed_lines.append('') elif '|' in line and in_table: if '---' not in line: cells = [cell.strip() for cell in line.split('|')[1:-1]] processed_lines.append('') for cell in cells: processed_lines.append(f'') processed_lines.append('') elif in_table and '|' not in line: processed_lines.append('
{cell}
{cell}
') processed_lines.append(line) in_table = False else: processed_lines.append(line) if in_table: processed_lines.append('') html_body = '\n'.join(processed_lines) html_content += html_body + """

{cell}
{cell}

""" # HTML下载链接 html_b64 = base64.b64encode(html_content.encode('utf-8')).decode() html_href = f'🌐 下载HTML报告' st.markdown(html_href, unsafe_allow_html=True) # 清理临时文件 try: os.unlink(temp_md_path) except: pass st.success("✅ 报告生成成功！请点击上方链接下载报告文件。") return True except Exception as e: st.error(f"❌ 生成报告时出错: {str(e)}") return False def display_pdf_export_section(stock_info, agents_results, discussion_result, final_decision): """显示PDF导出区域""" st.markdown("---") st.markdown("## 📄 导出分析报告") # 使用session_state来避免页面重置 if 'show_download_links' not in st.session_state: st.session_state.show_download_links = False col1, col2, col3 = st.columns([1, 2, 1]) with col2: pdf_button_key = "generate_report_btn" markdown_button_key = "generate_markdown_btn" # 生成PDF报告按钮 if st.button("📊 生成并下载报告(PDF/HTML)", type="primary", width='content', key=pdf_button_key): st.session_state.show_download_links = True with st.spinner("正在生成报告..."): success = generate_pdf_report(stock_info, agents_results, discussion_result, final_decision) if success: st.balloons() # 生成Markdown报告按钮 if st.button("📝 生成并下载Markdown报告", type="secondary", width='content', key=markdown_button_key): with st.spinner("正在生成Markdown报告..."): try: # 生成Markdown内容 markdown_content = generate_markdown_report(stock_info, agents_results, discussion_result, final_decision) # 生成文件名 stock_symbol = stock_info.get('symbol', 'unknown') timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") filename = f"股票分析报告_{stock_symbol}_{timestamp}.md" st.success("✅ Markdown报告生成成功！") st.balloons() # 显示下载链接 st.markdown("### 📄 报告下载") # Markdown下载链接 md_download_link = create_download_link( markdown_content, filename, "📝 下载Markdown报告" ) st.markdown(md_download_link, unsafe_allow_html=True) st.info("💡 提示：点击上方按钮即可下载Markdown格式的报告文件") except Exception as e: st.error(f"❌ 生成Markdown报告时出错: {str(e)}") # 如果已经生成了报告，显示下载链接 if st.session_state.show_download_links: generate_pdf_report(stock_info, agents_results, discussion_result, final_decision)