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Create app.py
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app.py
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import gradio as gr
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import requests
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MCP_URL = "https://jc321-easyreportdatemcp.hf.space"
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def query_financial_data(company_name, query_type):
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"""查询财务数据的主函数"""
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if not company_name:
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return "请输入公司名称或股票代码"
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try:
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# 搜索公司
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search_resp = requests.post(
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f"{MCP_URL}/api/advanced_search",
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json={"company_input": company_name},
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timeout=30
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)
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company = search_resp.json()
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if company.get("error"):
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return f"❌ 错误: {company['error']}"
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result = f"# {company['name']}\n\n"
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result += f"**股票代码**: {company.get('tickers', ['N/A'])[0] if company.get('tickers') else 'N/A'}\n"
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result += f"**行业**: {company.get('sic_description', 'N/A')}\n\n---\n\n"
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cik = company['cik']
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# 根据查询类型获取数据
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if query_type == "最新财务数据":
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data_resp = requests.post(
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f"{MCP_URL}/api/get_latest_financial_data",
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json={"cik": cik},
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timeout=30
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)
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data = data_resp.json()
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if data.get("error"):
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return result + f"❌ {data['error']}"
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result += f"## 财年 {data['period']}\n\n"
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result += f"- **总收入**: ${data['total_revenue']:,.0f} (${data['total_revenue']/1e9:.2f}B)\n"
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result += f"- **净利润**: ${data['net_income']:,.0f} (${data['net_income']/1e9:.2f}B)\n"
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result += f"- **每股收益**: ${data['earnings_per_share']:.2f}\n"
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result += f"- **来源**: {data['source_form']}\n"
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elif query_type == "3年趋势":
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metrics_resp = requests.post(
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f"{MCP_URL}/api/extract_financial_metrics",
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json={"cik": cik, "years": 3},
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timeout=60
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)
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metrics = metrics_resp.json()
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if metrics.get("error"):
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return result + f"❌ {metrics['error']}"
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result += f"## 财务趋势 (共 {metrics['count']} 个期间)\n\n"
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# 只显示年度数据
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annual_data = [m for m in metrics['metrics'] if 'Q' not in m['period']][:3]
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result += "| 期间 | 收入(十亿) | 净利润(十亿) | EPS |\n"
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result += "|------|-----------|------------|-----|\n"
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for m in annual_data:
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period = m['period']
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rev = m.get('total_revenue', 0) / 1e9
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inc = m.get('net_income', 0) / 1e9
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eps = m.get('earnings_per_share', 0)
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result += f"| FY{period} | ${rev:.2f}B | ${inc:.2f}B | ${eps:.2f} |\n"
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elif query_type == "5年趋势":
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metrics_resp = requests.post(
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f"{MCP_URL}/api/extract_financial_metrics",
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json={"cik": cik, "years": 5},
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timeout=60
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)
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metrics = metrics_resp.json()
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if metrics.get("error"):
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return result + f"❌ {metrics['error']}"
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annual_data = [m for m in metrics['metrics'] if 'Q' not in m['period']][:5]
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result += f"## 5年财务趋势\n\n"
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result += "| 期间 | 收入 | 净利润 | EPS |\n"
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result += "|------|------|--------|-----|\n"
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for m in annual_data:
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rev = m.get('total_revenue', 0) / 1e9
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inc = m.get('net_income', 0) / 1e9
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eps = m.get('earnings_per_share', 0)
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result += f"| FY{m['period']} | ${rev:.2f}B | ${inc:.2f}B | ${eps:.2f} |\n"
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return result
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except Exception as e:
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return f"❌ 发生错误: {str(e)}"
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# 创建 Gradio 界面
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with gr.Blocks(title="SEC 财务数据查询助手", theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🤖 SEC 财务数据查询助手")
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gr.Markdown("通过调用 MCP Server 查询美国上市公司的财务数据")
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with gr.Row():
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company_input = gr.Textbox(
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label="公司名称或股票代码",
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placeholder="例如: NVIDIA, Apple, TSMC, AAPL",
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scale=2
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)
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query_type = gr.Radio(
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["最新财务数据", "3年趋势", "5年趋势"],
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label="查询类型",
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value="最新财务数据",
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scale=1
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)
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submit_btn = gr.Button("🔍 查询", variant="primary", size="lg")
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output = gr.Markdown(label="查询结果")
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# 示例
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gr.Examples(
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examples=[
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["NVIDIA", "最新财务数据"],
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["Apple", "3年趋势"],
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["Microsoft", "5年趋势"],
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["TSMC", "最新财务数据"],
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["Tesla", "3年趋势"]
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],
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inputs=[company_input, query_type],
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outputs=output,
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fn=query_financial_data,
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cache_examples=False
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)
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submit_btn.click(
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fn=query_financial_data,
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inputs=[company_input, query_type],
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outputs=output
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| 142 |
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)
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gr.Markdown("---")
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gr.Markdown(f"**数据来源**: SEC EDGAR | **MCP Server**: `{MCP_URL}`")
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| 146 |
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demo.launch()
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