解决Python csv.writer中转义字符和引用参数处理问题

import csv, io
import os, shutil

result = {}

csv_file_path = 'myreport.csv'
columns_to_process = ['money1', 'money2']
string_to_be_replaced = "."
string_to_replace_with = ","
mydelimiter =  ";"

# 检查文件是否存在
if not os.path.isfile(csv_file_path):
    raise IOError("csv_file_path is not valid or does not exists: {}".format(csv_file_path))

# 检查分隔符是否存在
with open(csv_file_path, 'r') as csvfile:
    first_line = csvfile.readline()
    if mydelimiter not in first_line:
        delimiter_warning_message = "No delimiter found in file first line."
        result['warning_messages'].append(delimiter_warning_message)

# 统计文件行数
NOL = sum(1 for _ in io.open(csv_file_path, "r"))

if NOL > 0:
    # 获取列名
    with open(csv_file_path, 'r') as csvfile:
        columnslist = csv.DictReader(csvfile, delimiter=mydelimiter)      
        list_of_dictcolumns = []
        for row in columnslist:
            list_of_dictcolumns.append(row)
            break  

    first_dictcolumn = list_of_dictcolumns[0]        
    list_of_column_names = list(first_dictcolumn.keys())
    number_of_columns = len(list_of_column_names)

    # 检查列是否存在
    column_existence = [ (column_name in list_of_column_names ) for column_name in columns_to_process ]

    if not all(column_existence):
        raise ValueError("File {} does not contains all the columns given in input for processing:
File columns names: {}
Input columns names: {}".format(csv_file_path, list_of_column_names, columns_to_process))

    # 确定要处理的列的索引
    indexes_of_columns_to_process = [i for i, column_name in enumerate(list_of_column_names) if column_name in columns_to_process]

    print("indexes_of_columns_to_process: ", indexes_of_columns_to_process)

    # 构建输出文件路径
    inputcsv_absname, inputcsv_extension = os.path.splitext(csv_file_path)
    csv_output_file_path = inputcsv_absname + '__output' + inputcsv_extension

    # 定义处理函数
    def replace_string_in_columns(input_csv, output_csv, indexes_of_columns_to_process, string_to_be_replaced, string_to_replace_with):
        number_of_replacements = 0

        with open(input_csv, 'r', newline='') as infile, open(output_csv, 'w', newline='') as outfile:
            reader = csv.reader(infile, quoting=csv.QUOTE_NONE, delimiter=mydelimiter, quotechar='',escapechar='\')
            writer = csv.writer(outfile, quoting=csv.QUOTE_NONE, delimiter=mydelimiter, quotechar='',escapechar='\')

            row_index=0

            for row in reader:              
                for col_index in indexes_of_columns_to_process:
                    # 跳过空行
                    if len(row) == 0:
                        break

                    cell = row[col_index]
                    columns_before = row[:col_index]
                    columns_after = row[(col_index + 1):]

                    print("col_index: ", col_index)
                    print("row: ", row)
                    print("cell: ", cell)

                    if string_to_be_replaced in cell and row_index != 0:                        
                        # 替换字符串
                        cell = cell.replace(string_to_be_replaced, string_to_replace_with)
                        number_of_replacements = number_of_replacements + 1
                        print("number_of_replacements: ", number_of_replacements)

                        row_replaced = columns_before + [ cell ] + columns_after
                        row = row_replaced

                # 写入行
                writer.writerow(row)
                print("written row: ", row, "index: ", row_index)

                row_index=row_index+1

        return number_of_replacements 

    # 执行处理函数
    result['number_of_modified_cells'] =  replace_string_in_columns(csv_file_path, csv_output_file_path, indexes_of_columns_to_process, string_to_be_replaced, string_to_replace_with)

    # 替换原始文件
    shutil.copyfile(csv_output_file_path, csv_file_path)
    os.remove(csv_output_file_path)

    if result['number_of_modified_cells'] > 0:
        result['changed'] = True
    else:
        result['changed'] = False
else:
    result['changed'] = False

result['source_csv_number_of_raw_lines'] = NOL
result['source_csv_number_of_lines'] = NOL - 1

print("result:

", result)

reader = csv.reader(infile, quoting=csv.QUOTE_NONE, delimiter=mydelimiter, quotechar='',escapechar='\')
writer = csv.writer(outfile, quoting=csv.QUOTE_NONE, delimiter=mydelimiter, quotechar='',escapechar='\')