address customer link

csv/data.py

@@ -0,0 +1,58 @@
+import csv
+
+# FILES
+export_file = "Item Price.csv"       # ERPNext export
+output_file = "Item Price-import-ready.csv" # clean import CSV
+
+# Template columns (exact Column Name values for ERPNext import)
+template_columns = [
+    "name","item_code","uom","price_list","price_list_rate","packing_unit",
+    "item_name","brand","item_description","customer","supplier","batch_no",
+    "buying","selling","currency","valid_from","lead_time_days","valid_upto",
+    "note","reference"
+]
+
+# Which row has the Column Name row in ERPNext export? Usually 20th (0-index 19)
+COLUMN_NAME_ROW = 19
+DATA_START_ROW = 21  # 0-indexed row where actual data starts
+
+def clean_cell(cell):
+    # Remove extra quotes around the data
+    if cell.startswith('"""') and cell.endswith('"""'):
+        return cell[3:-3]
+    elif cell.startswith('"') and cell.endswith('"'):
+        return cell[1:-1]
+    return cell
+
+# Read the export
+with open(export_file, newline='', encoding='utf-8') as f:
+    reader = list(csv.reader(f))
+    
+    export_columns = [clean_cell(c) for c in reader[COLUMN_NAME_ROW]]
+    data_rows = reader[DATA_START_ROW-1:]
+
+# Build column index map
+col_indexes = []
+for col in template_columns:
+    if col in export_columns:
+        col_indexes.append(export_columns.index(col))
+    else:
+        col_indexes.append(None)  # fill missing columns with empty string
+
+# Write clean CSV
+with open(output_file, "w", newline='', encoding='utf-8') as f_out:
+    writer = csv.writer(f_out, quoting=csv.QUOTE_ALL)
+    
+    # Header row: template
+    writer.writerow(template_columns)
+    
+    for row in data_rows:
+        clean_row = []
+        for idx in col_indexes:
+            if idx is not None and idx < len(row):
+                clean_row.append(clean_cell(row[idx]))
+            else:
+                clean_row.append("")
+        writer.writerow(clean_row)
+
+print(f"Clean Item Price CSV written to {output_file}")