前后端基本架构和完全excel表的解析及统计图表的生成以及excel表的到出

backend/app/api/endpoints/visualization.py

@@ -0,0 +1,90 @@
+"""
+可视化 API 接口 - 生成统计图表
+"""
+from fastapi import APIRouter, HTTPException, Body
+from typing import Dict, Any
+import logging
+
+from app.services.visualization_service import visualization_service
+from pydantic import BaseModel
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/visualization", tags=["数据可视化"])
+
+
+class StatisticsRequest(BaseModel):
+    """统计图表生成请求模型"""
+    excel_data: Dict[str, Any]
+    analysis_type: str = "statistics"
+
+
+@router.post("/statistics")
+async def generate_statistics(request: StatisticsRequest):
+    """
+    生成统计信息和可视化图表
+
+    Args:
+        request: 包含 excel_data 和 analysis_type 的请求体
+
+    Returns:
+        dict: 包含统计信息和图表数据的结果
+    """
+    excel_data = request.excel_data
+    analysis_type = request.analysis_type
+
+    if not excel_data:
+        raise HTTPException(status_code=400, detail="未提供 Excel 数据")
+
+    try:
+        result = visualization_service.analyze_and_visualize(
+            excel_data,
+            analysis_type
+        )
+
+        if not result.get("success"):
+            raise HTTPException(status_code=500, detail=result.get("error", "分析失败"))
+
+        logger.info("统计图表生成成功")
+
+        return result
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"统计图表生成失败: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"图表生成失败: {str(e)}")
+
+
+@router.get("/chart-types")
+async def get_chart_types():
+    """
+    获取支持的图表类型
+
+    Returns:
+        dict: 支持的图表类型列表
+    """
+    return {
+        "chart_types": [
+            {
+                "value": "histogram",
+                "label": "直方图",
+                "description": "显示数值型列的分布情况"
+            },
+            {
+                "value": "bar_chart",
+                "label": "条形图",
+                "description": "显示分类列的频次分布"
+            },
+            {
+                "value": "box_plot",
+                "label": "箱线图",
+                "description": "显示数值列的四分位数和异常值"
+            },
+            {
+                "value": "correlation_heatmap",
+                "label": "相关性热力图",
+                "description": "显示数值列之间的相关性"
+            }
+        ]
+    }