Update upload_csv

upload_csv

@@ -1,29 +1,4 @@
-def upload_csv(file):
-    global df
-    try:
-        if file is None:
-            return ["All"], ["All"], "No file uploaded. Please upload a CSV file.", "All", "All"
-        
-        df = pd.read_csv(file)
-        if df.empty:
-            return ["All"], ["All"], "The uploaded CSV file is empty.", "All", "All"
-        
-        # Debug: Print the DataFrame to check its content
-        print("DataFrame content:\n", df.to_string())
-        
-        required_columns = {'DeviceID', 'Lab', 'Type', 'Timestamp', 'Status', 'UsageCount'}
-        if not required_columns.issubset(df.columns):
-            missing_cols = required_columns - set(df.columns)
-            return ["All"], ["All"], f"CSV is missing required columns: {', '.join(missing_cols)}", "All", "All"
-        
-        labs = ['All'] + sorted([str(lab) for lab in df['Lab'].dropna().unique() if str(lab).strip()])
-        types = ['All'] + sorted([str(type_) for type_ in df['Type'].dropna().unique() if str(type_).strip()])
-        
-        if len(labs) == 1:
-            labs = ["All"]
-        if len(types) == 1:
-            types = ["All"]
-        
-        return labs, types, "", "All", "All"
-    except Exception as e:
-        return ["All"], ["All"], f"Failed to load CSV: {str(e)}", "All", "All"
+required_columns = {'DeviceID', 'Lab', 'Type', 'Timestamp', 'Status', 'UsageCount'}
+if not required_columns.issubset(df.columns):
+    missing_cols = required_columns - set(df.columns)
+    return ["All"], ["All"], ["All"], f"CSV is missing required columns: {', '.join(missing_cols)}", "All", "All", "All"