old_contents: # Copyright (c) 2019, Frappe Technologies Pvt. Ltd. and Contributors
  # License: MIT. See LICENSE
  
  import unittest
  
  import frappe
  from frappe.desk.query_report import build_xlsx_data
  import frappe.utils
  
  
  class TestQueryReport(unittest.TestCase):
  	def test_xlsx_data_with_multiple_datatypes(self):
  		"""Test exporting report using rows with multiple datatypes (list, dict)"""
  
  		# Create mock data
  		data = frappe._dict()
  		data.columns = [
  			{"label": "Column A", "fieldname": "column_a", "fieldtype": "Float"},
  			{"label": "Column B", "fieldname": "column_b", "width": 100, "fieldtype": "Float"},
  			{"label": "Column C", "fieldname": "column_c", "width": 150, "fieldtype": "Duration"},
  			"Column D:Data:100"
  		]
  		data.result = [
  			[1.0, 3.0, 600, "Test1"],
  			{"column_a": 22.1, "column_b": 21.8, "column_c": 86412, "column_d": "Test2"},
  			{"column_b": 5.1, "column_c": 53234, "column_a": 11.1, "column_d": "Test3"},
  			[3.0, 1.5, 333, "Test4"],
  		]
  
  		# Define the visible rows
  		visible_idx = [0, 2, 3]
  
  		# Build the result
  		xlsx_data, column_widths = build_xlsx_data(data, visible_idx, include_indentation=0)
  
  		self.assertEqual(type(xlsx_data), list)
  		self.assertEqual(len(xlsx_data), 4)  # columns + data
  		# column widths are divided by 10 to match the scale that is supported by openpyxl
  		self.assertListEqual(column_widths, [0, 10, 150, 0])
  
  		for row in xlsx_data:
  			self.assertEqual(type(row), list)
  
new_contents: # Copyright (c) 2019, Frappe Technologies Pvt. Ltd. and Contributors
  # License: MIT. See LICENSE
  
  import unittest
  
  import frappe
  from frappe.desk.query_report import build_xlsx_data
  import frappe.utils
  
  
  class TestQueryReport(unittest.TestCase):
  	def test_xlsx_data_with_multiple_datatypes(self):
  		"""Test exporting report using rows with multiple datatypes (list, dict)"""
  
  		# Create mock data
  		data = frappe._dict()
  		data.columns = [
  			{"label": "Column A", "fieldname": "column_a", "fieldtype": "Float"},
  			{"label": "Column B", "fieldname": "column_b", "width": 100, "fieldtype": "Float"},
  			{"label": "Column C", "fieldname": "column_c", "width": 150, "fieldtype": "Duration"},
  		]
  		data.result = [
  			[1.0, 3.0, 600],
  			{"column_a": 22.1, "column_b": 21.8, "column_c": 86412},
  			{"column_b": 5.1, "column_c": 53234, "column_a": 11.1},
  			[3.0, 1.5, 333],
  		]
  
  		# Define the visible rows
  		visible_idx = [0, 2, 3]
  
  		# Build the result
  		xlsx_data, column_widths = build_xlsx_data(data, visible_idx, include_indentation=0)
  
  		self.assertEqual(type(xlsx_data), list)
  		self.assertEqual(len(xlsx_data), 4)  # columns + data
  		# column widths are divided by 10 to match the scale that is supported by openpyxl
  		self.assertListEqual(column_widths, [0, 10, 15])
  
  		for row in xlsx_data:
  			self.assertEqual(type(row), list)
  
subject: remove string column