Rename excel_tool.py to metadata.jsonl

excel_tool.py

@@ -1,44 +0,0 @@
-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, 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}"
-    
-    # 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)