Update app.py

app.py

@@ -410,145 +410,8 @@ def create_map(df, location_col):
     
     return m._repr_html_(), processed_count
 
-def process_excel(file, places_column):
-    if file is None:
-        return None, "No file uploaded", None
-    
-    try:
-        if hasattr(file, 'name'):
-            df = pd.read_excel(file.name)
-        elif isinstance(file, bytes):
-            df = pd.read_excel(io.BytesIO(file))
-        else:
-            df = pd.read_excel(file)
-        
-        print(f"Spalten in der Excel-Tabelle: {list(df.columns)}")
-        
-        if places_column not in df.columns:
-            return None, f"Spalte '{places_column}' wurde in der Excel-Datei nicht gefunden. Verfügbare Spalten: {', '.join(df.columns)}", None
-        
-        # Create a copy of the dataframe to avoid modifying the original
-        result_df = df.copy()
-        
-        # Add coordinate columns if they don't exist
-        if 'latitude' not in result_df.columns:
-            result_df['latitude'] = None
-        if 'longitude' not in result_df.columns:
-            result_df['longitude'] = None
-        
-        geocoder = SafeGeocoder()
-        coords = []
-        marker_cluster = MarkerCluster(name="Locations")
-        processed_count = 0
-        
-        # Create map instance
-        m = folium.Map(
-            location=[20, 0],
-            zoom_start=2, 
-            control_scale=True
-        )
-        
-        folium.TileLayer(
-            tiles=MAP_TILES["GreenMap"]["url"],
-            attr=MAP_TILES["GreenMap"]["attr"],
-            name="GreenMap",
-            overlay=False,
-            control=False
-        ).add_to(m)
-        
-        Fullscreen().add_to(m)
-        MeasureControl(position='topright', primary_length_unit='kilometers').add_to(m)
-        marker_cluster.add_to(m)
-        
-        # Process each location and store coordinates
-        for idx, row in result_df.iterrows():
-            if pd.isna(row[places_column]):
-                continue
-                
-            location = str(row[places_column]).strip()
-            
-            additional_info = ""
-            for col in result_df.columns:
-                if col != places_column and not pd.isna(row[col]):
-                    additional_info += f"<br><b>{col}:</b> {row[col]}"
-            
-            try:
-                locations = [loc.strip() for loc in location.split(',') if loc.strip()]
-                if not locations:
-                    locations = [location]
-            except:
-                locations = [location]
-                
-            for loc in locations:
-                point = geocoder.get_coords(loc)
-                if point:
-                    # Store coordinates in the dataframe
-                    result_df.at[idx, 'latitude'] = point[0]
-                    result_df.at[idx, 'longitude'] = point[1]
-                    
-                    # Add marker to map
-                    popup_content = f"""
-                    <div style="min-width: 200px; max-width: 300px">
-                        <h4 style="font-family: 'Source Sans Pro', sans-serif; margin-bottom: 5px;">{loc}</h4>
-                        <div style="font-family: 'Source Sans Pro', sans-serif; font-size: 14px;">
-                            {additional_info}
-                        </div>
-                    </div>
-                    """
-                    
-                    folium.Marker(
-                        location=point,
-                        popup=folium.Popup(popup_content, max_width=300),
-                        tooltip=loc,
-                        icon=folium.Icon(color="blue", icon="info-sign")
-                    ).add_to(marker_cluster)
-                    
-                    coords.append(point)
-                    processed_count += 1
-                    break  # Use first successful geocode
-        
-        # Fit map to coordinates if any were found
-        if coords:
-            m.fit_bounds(coords)
-        
-        # Add custom CSS to map
-        custom_css = """
-        <style>
-        @import url('https://fonts.googleapis.com/css2?family=Source+Sans+Pro:wght@400;600&display=swap');
-        .leaflet-container {
-            font-family: 'Source Sans Pro', sans-serif;
-        }
-        .leaflet-popup-content {
-            font-family: 'Source Sans Pro', sans-serif;
-        }
-        .leaflet-popup-content h4 {
-            font-weight: 600;
-            margin-bottom: 8px;
-        }
-        </style>
-        """
-        m.get_root().header.add_child(folium.Element(custom_css))
-        
-        # Save the updated dataframe to Excel
-        with tempfile.NamedTemporaryFile(suffix=".xlsx", delete=False) as tmp:
-            processed_path = tmp.name
-            result_df.to_excel(processed_path, index=False)
-        
-        total_locations = result_df[places_column].count()
-        success_rate = (processed_count / total_locations * 100) if total_locations > 0 else 0
-        
-        stats = f"Gefunden: {processed_count} von {total_locations} Orten ({success_rate:.1f}%)"
-        
-        # Print the dataframe to debug
-        print("DataFrame with coordinates:")
-        print(result_df.head())
-        
-        return m._repr_html_(), stats, processed_path
-    except Exception as e:
-        import traceback
-        trace = traceback.format_exc()
-        print(f"Error processing file: {e}\n{trace}")
-        return None, f"Fehler bei der Verarbeitung der Datei: {str(e)}", None
+
+ 
 
 custom_css = """
 <style>