Lei PAN
135 lines
5.0 KiB
Python
135 lines
5.0 KiB
Python
import json
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import random
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import string
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import pandas as pandas
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import xlsxwriter
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from definitions import CONTACT_LIST_FILE
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from pojo.contact_pojo import ContactPojo
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phone_number_prefix = ['6', '7']
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class ExcelHelper:
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def __init__(self):
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self._df = pandas.Series()
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def write_to_exel(self, file_name, data_list: list):
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new_df = pandas.Series(data_list)
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self._df = pandas.concat([self._df, new_df])
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self._df.to_excel(file_name)
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def read_contacts(self, file_name=CONTACT_LIST_FILE) -> list:
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contact_list_in_json = pandas.read_excel(file_name).to_json(orient='records')
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contact_dict_list = json.loads(contact_list_in_json)
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contact_list = []
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for contact_dict in contact_dict_list:
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if contact_dict['name']:
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raw_name = contact_dict['name'].strip()
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name = raw_name.split(' ')
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last_name = name[0]
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if len(name) == 2:
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first_name = name[-1]
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else:
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first_name = ''.join(name[1:len(name)])
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contact = ContactPojo(phone_number=contact_dict['phone'],
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last_name=last_name,
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first_name=first_name,
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passport_number=contact_dict['passport'],
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mail=contact_dict['email'])
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contact_list.append(contact)
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return contact_list
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def read_names(self, file_name=CONTACT_LIST_FILE) -> list:
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contact_list_in_json = pandas.read_excel(file_name).to_json(orient='records')
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contact_dict_list = json.loads(contact_list_in_json)
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contact_list = []
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count = 2
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for contact_dict in contact_dict_list:
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if contact_dict['name']:
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raw_name = contact_dict['name'].strip()
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name = raw_name.split(' ')
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if len(name) == 1:
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name = raw_name.split('\xa0')
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last_name = name[0]
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if len(name) == 2:
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first_name = name[-1]
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else:
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first_name = ''.join(name[1:len(name)])
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contact = ContactPojo(phone_number="",
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last_name=last_name,
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first_name=first_name,
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passport_number="",
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mail="")
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if len(first_name) == 0:
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print("first_name is empty: position:" + str(count))
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print(name)
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if len(last_name) == 0:
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print("last_name is empty: position:" + str(count))
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count = count + 1
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contact_list.append(contact)
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return contact_list
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def get_random_phone_numbers():
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length = 8 # number of characters in the string.
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ran = ''.join(random.choices(string.digits, k=length))
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id_number = random.choice(phone_number_prefix) + str(ran)
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return id_number
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def generate_email_from_name(first_name: str, last_name: str) -> str:
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length = 4 # number of characters in the string.
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ran = ''.join(random.choices(string.digits, k=length))
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separator = ['.', '_', '']
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email = "{}{}{}{}@163.com".format(last_name.lower(), random.choice(separator), first_name.lower(), ran)
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print(email)
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return email
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def get_random_id_number() -> str:
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# write_the_valid_profiles_to_excel()
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S = 8 # number of characters in the string.
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# call random.choices() string module to find the string in Uppercase + numeric data.
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ran = ''.join(random.choices(string.digits, k=S))
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print("The randomly generated string is : 94" + str(ran)) # print the random data
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return ran
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def write_new_contacts_to_excel(valid_contacts: list):
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row = 0
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col = 0
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# Create a workbook and add a worksheet.
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workbook = xlsxwriter.Workbook('new_profile_{}.xlsx'.format(len(valid_contacts)))
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header_data = ['name', 'phone', 'passport', 'email']
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worksheet = workbook.add_worksheet()
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header_format = workbook.add_format({'bold': True})
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for col_num, data in enumerate(header_data):
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worksheet.write(row, col_num, data, header_format)
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row = row + 1
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for info in valid_contacts:
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info.phone = get_random_phone_numbers()
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info.passport = get_random_id_number()
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info.mail = generate_email_from_name(info.first_name, info.last_name)
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# Iterate over the data and write it out row by row.
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worksheet.write(row, col, "{} {}".format(info.last_name, info.first_name))
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worksheet.write(row, col + 1, info.phone)
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worksheet.write(row, col + 2, info.passport)
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worksheet.write(row, col + 3, info.mail)
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row += 1
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workbook.close()
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if __name__ == '__main__':
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excel_reader = ExcelHelper()
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contacts = excel_reader.read_names("C:/Users/landd/Desktop/1000.xlsx")
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print(contacts)
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write_new_contacts_to_excel(valid_contacts=contacts)
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