Update tools/excel_tool.py

tools/excel_tool.py

@@ -1,17 +1,44 @@
 import pandas as pd
 import requests
 from io import BytesIO
+import numpy as np
 
 def analyze_excel(path_or_url: str) -> str:
+    """Analysera Excel-fil och returnera detaljerad information"""
     try:
         if path_or_url.startswith("http"):
-            response = requests.get(path_or_url)
+            response = requests.get(path_or_url, timeout=10)
+            response.raise_for_status()
             df = pd.read_excel(BytesIO(response.content))
         else:
             df = pd.read_excel(path_or_url)
+    
     except Exception as e:
         return f"Error reading Excel file: {e}"
-
-    # Just a simple analysis, can expand if you want
-    return f"Rows: {df.shape[0]}, Columns: {df.shape[1]}, Columns: {', '.join(df.columns)}"
-
+    
+    # Detaljerad analys
+    analysis = []
+    analysis.append(f"Rows: {df.shape[0]}, Columns: {df.shape[1]}")
+    analysis.append(f"Column names: {', '.join(df.columns)}")
+    
+    # Datatyper
+    numeric_cols = df.select_dtypes(include=[np.number]).columns.tolist()
+    if numeric_cols:
+        analysis.append(f"Numeric columns: {', '.join(numeric_cols)}")
+        for col in numeric_cols:
+            analysis.append(f"{col} - Sum: {df[col].sum():.2f}, Mean: {df[col].mean():.2f}, Max: {df[col].max():.2f}, Min: {df[col].min():.2f}")
+    
+    text_cols = df.select_dtypes(include=['object']).columns.tolist()
+    if text_cols:
+        analysis.append(f"Text columns: {', '.join(text_cols)}")
+        for col in text_cols:
+            unique_values = df[col].nunique()
+            analysis.append(f"{col} - Unique values: {unique_values}")
+            if unique_values <= 10:
+                analysis.append(f"{col} values: {', '.join(map(str, df[col].unique()))}")
+    
+    # Första 3 raderna som exempel
+    analysis.append("First 3 rows:")
+    analysis.append(df.head(3).to_string())
+    
+    return "\n".join(analysis)