一段字符处理代码，推荐数据的多标签变成字典

原始的数据格式：

photo_id,tag_info_list
25916978799,"[{""tag_id"":2001,""tag_name"":""婴儿"",""prob"":0.080000006},{""tag_id"":2624,""tag_name"":""正面"",""prob"":0.089999996}]"

filename = "E:\python_code\kuaishou\kuaishou_data\photo_tag.txt"
item_dict = dict()
with open(filename, 'rb') as file_to_read:
  i = 0
  while True:
    lines = file_to_read.readline()
    i += 1
    if i != 1:
        lines = str(lines, encoding='utf-8')
        if not lines:
            break
        position = lines.find(',')
        p_tmp = lines[: position]
        E_tmp = lines[position + 1:]
        E_list = E_tmp[2: -4].replace("\"\"", "\"")
        E_list = E_list.split("},")
        tag_id = list()
        for i in range(len(E_list) - 1):
            E_list[i] += "}"

        for i in range(len(E_list)):
            current_dict = eval(E_list[i])
            tag_id.append(int(current_dict["tag_id"]))
        # print(tag_id)
        item_dict[str(p_tmp)] = tag_id
        pass

with open("../item_dict.json", 'w') as f:
    json.dump(item_dict, f)