Create upload_csv

upload_csv

@@ -0,0 +1,29 @@
+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"