fake_service.py 9.3 KB

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  1. import random
  2. from app.core.biz_exception import NotFoundError, PermissionDeniedError, BizLogicError
  3. from typing import List
  4. from datetime import date, datetime, timedelta
  5. from app.schemas.fake import FakeUser
  6. # ----------------------------------------
  7. # 邮箱域名
  8. # ----------------------------------------
  9. DOMAINS = [
  10. "gmail-app.com",
  11. "outlooksearch.com",
  12. "hotmails.vip",
  13. "gmail365.cc",
  14. "ymails.top",
  15. "teamymail.cfd"
  16. ]
  17. def get_email_prefix(email: str) -> str:
  18. if not email or "@" not in email:
  19. return ""
  20. return email.split("@", 1)[0]
  21. def generate_stable_email(base: str) -> str:
  22. if not base or not base.strip():
  23. base = "user"
  24. index = abs(hash(base)) % len(DOMAINS)
  25. return f"{base}@{DOMAINS[index]}"
  26. # ----------------------------------------
  27. # 国籍对应名字和护照格式
  28. # 全 ASCII
  29. # ----------------------------------------
  30. NATIONALITY_DATA = {
  31. "China": {
  32. "male_names": ["Wei", "Jian", "Liang", "Hao", "Jun"],
  33. "female_names": ["Mei", "Li", "Fang", "Xia", "Lan"],
  34. "surnames": ["Zhang", "Wang", "Li", "Liu", "Chen"],
  35. "passport_pattern": "E?########"
  36. },
  37. "India": {
  38. "male_names": ["Arjun", "Rohan", "Raj", "Vikram", "Siddharth"],
  39. "female_names": ["Ananya", "Priya", "Aisha", "Neha", "Kavya"],
  40. "surnames": ["Sharma", "Patel", "Singh", "Kumar", "Gupta"],
  41. "passport_pattern": "?#######"
  42. },
  43. # "United States": {
  44. # "male_names": ["James", "John", "Robert", "Michael", "William"],
  45. # "female_names": ["Mary", "Patricia", "Linda", "Elizabeth", "Jennifer"],
  46. # "surnames": ["Smith", "Johnson", "Williams", "Brown", "Jones"],
  47. # "passport_pattern": "#########"
  48. # },
  49. # "United Kingdom": {
  50. # "male_names": ["Oliver", "George", "Harry", "Jack", "Jacob"],
  51. # "female_names": ["Olivia", "Amelia", "Isla", "Ava", "Emily"],
  52. # "surnames": ["Smith", "Jones", "Taylor", "Brown", "Williams"],
  53. # "passport_pattern": "#########"
  54. # },
  55. # "Ireland": {
  56. # "male_names": ["Conor", "Sean", "Patrick", "Liam", "Finn"],
  57. # "female_names": ["Aoife", "Saoirse", "Emily", "Grace", "Ciara"],
  58. # "surnames": ["Murphy", "Kelly", "OBrien", "Walsh", "Ryan"],
  59. # "passport_pattern": "P########"
  60. # },
  61. # "Germany": {
  62. # "male_names": ["Max", "Lukas", "Felix", "Leon", "Paul"],
  63. # "female_names": ["Anna", "Emma", "Sophia", "Marie", "Laura"],
  64. # "surnames": ["Mueller", "Schmidt", "Schneider", "Fischer", "Weber"],
  65. # "passport_pattern": "C########"
  66. # },
  67. # "France": {
  68. # "male_names": ["Louis", "Gabriel", "Raphael", "Arthur", "Jules"],
  69. # "female_names": ["Emma", "Louise", "Alice", "Chloe", "Lina"],
  70. # "surnames": ["Martin", "Bernard", "Thomas", "Robert", "Richard"],
  71. # "passport_pattern": "########"
  72. # },
  73. # "Japan": {
  74. # "male_names": ["Hiroshi", "Takumi", "Kenta", "Yuki", "Ryo"],
  75. # "female_names": ["Yui", "Sakura", "Mao", "Aya", "Hana"],
  76. # "surnames": ["Sato", "Suzuki", "Takahashi", "Tanaka", "Watanabe"],
  77. # "passport_pattern": "TR#######"
  78. # }
  79. }
  80. # ----------------------------------------
  81. # 居住国家地址/电话/邮编(全 ASCII)
  82. # ----------------------------------------
  83. RESIDENCE_DATA = {
  84. "China": {
  85. "cities": ["Beijing", "Shanghai", "Shenzhen", "Guangzhou", "Chengdu"],
  86. "streets": ["Heping Road", "Jiefang Road", "Renmin Street", "Zhongshan Avenue", "Fuxing Street"],
  87. "postcode_prefix": "1",
  88. "phone_code": "+86",
  89. "phone_length": 11
  90. },
  91. "India": {
  92. "cities": ["Delhi", "Mumbai", "Bangalore", "Kolkata", "Chennai"],
  93. "streets": ["MG Road", "Connaught Place", "Brigade Road", "Park Street", "Anna Salai"],
  94. "postcode_prefix": "5",
  95. "phone_code": "+91",
  96. "phone_length": 10
  97. },
  98. "United Kingdom": {
  99. "cities": ["London", "Manchester", "Birmingham", "Leeds", "Glasgow"],
  100. "streets": ["High Street", "Station Road", "Main Street", "Church Road", "London Road"],
  101. "postcode_prefix": "SW",
  102. "phone_code": "+44",
  103. "phone_length": 10
  104. },
  105. "Ireland": {
  106. "cities": ["Dublin", "Cork", "Galway", "Limerick", "Waterford"],
  107. "streets": ["OConnell Street", "Patrick Street", "Main Street", "High Street", "Bridge Street"],
  108. "postcode_prefix": "D",
  109. "phone_code": "+353",
  110. "phone_length": 9
  111. }
  112. }
  113. # ----------------------------------------
  114. # 辅助函数
  115. # ----------------------------------------
  116. def generate_passport(pattern: str) -> str:
  117. s = ""
  118. for c in pattern:
  119. if c == "#":
  120. s += str(random.randint(0, 9))
  121. elif c == "?":
  122. s += random.choice("ABCDEFGHIJKLMNOPQRSTUVWXYZ")
  123. else:
  124. s += c
  125. return s
  126. def generate_name(nationality: str, gender: str):
  127. data = NATIONALITY_DATA[nationality]
  128. if gender == "Male":
  129. first = random.choice(data["male_names"])
  130. else:
  131. first = random.choice(data["female_names"])
  132. last = random.choice(data["surnames"])
  133. return first, last
  134. def generate_address(residence_country: str):
  135. data = RESIDENCE_DATA.get(residence_country)
  136. street = random.choice(data["streets"])
  137. city = random.choice(data["cities"])
  138. postcode = data["postcode_prefix"] + "".join([str(random.randint(0, 9)) for _ in range(5)])
  139. return f"{random.randint(1, 200)} {street}", city, postcode
  140. # def generate_phone(residence_country: str):
  141. # data = RESIDENCE_DATA.get(residence_country)
  142. # num = "".join([str(random.randint(0,9)) for _ in range(data["phone_length"])])
  143. # return data["phone_code"], num
  144. def generate_phone(country: str):
  145. if country == "China":
  146. prefix = "86"
  147. first_digit = "1"
  148. length = 11
  149. elif country == "India":
  150. prefix = "91"
  151. first_digit = random.choice(["7", "8", "9"])
  152. length = 10
  153. elif country == "Ireland":
  154. prefix = "353"
  155. first_digit = "8"
  156. length = 9
  157. elif country == "United Kingdom":
  158. prefix = "44"
  159. first_digit = "7"
  160. length = 10
  161. elif country == "United States":
  162. prefix = "1"
  163. first_digit = str(random.randint(2,9))
  164. length = 10
  165. elif country == "Germany":
  166. prefix = "49"
  167. first_digit = str(random.randint(1,9))
  168. length = 10
  169. else:
  170. prefix = "+00"
  171. first_digit = "1"
  172. length = 10
  173. # 生成国内号码(ASCII数字)
  174. number = first_digit + "".join(str(random.randint(0,9)) for _ in range(length-1))
  175. return prefix, '0' + number
  176. # ----------------------------------------
  177. # 主函数
  178. # ----------------------------------------
  179. def generate_fake_users(num: int, living_country: str = "Ireland") -> List[FakeUser]:
  180. users = []
  181. if living_country not in RESIDENCE_DATA.keys():
  182. raise BizLogicError(f'Living country only have {RESIDENCE_DATA.keys()}')
  183. for _ in range(num):
  184. gender = random.choice(["Male","Female"])
  185. nationality = random.choice(list(NATIONALITY_DATA.keys()))
  186. first_name, last_name = generate_name(nationality, gender)
  187. passport_no = generate_passport(NATIONALITY_DATA[nationality]["passport_pattern"])
  188. address_line1, city, postcode = generate_address(living_country)
  189. phone_country_code, phone_no = generate_phone(living_country)
  190. fake_email = f"{first_name.lower()}.{last_name.lower()}@example.com"
  191. alias_email = generate_stable_email(f"{first_name.lower()}.{last_name.lower()}")
  192. travel_date = date.today() + timedelta(days=random.randint(30,90))
  193. passport_expiry_date = date.today() + timedelta(days=random.randint(365,3650))
  194. birthday = date.today() - timedelta(days=random.randint(18*365,50*365))
  195. user = FakeUser(
  196. provider="fake",
  197. visa_center="fake",
  198. order_no=f"{random.randint(10000000,99999999)}",
  199. social_account=f"fake-{first_name.lower()}{random.randint(1,99)}",
  200. account=fake_email,
  201. password="Password123!",
  202. last_name=last_name,
  203. first_name=first_name,
  204. gender=gender,
  205. birthday=birthday,
  206. nationality=nationality,
  207. passport_no=passport_no,
  208. passport_expiry_date=passport_expiry_date,
  209. email=fake_email,
  210. alias_email=alias_email,
  211. address_line1=address_line1,
  212. address_line2="",
  213. city=city,
  214. state="",
  215. postcode=postcode,
  216. phone_country_code=phone_country_code,
  217. phone_no=phone_no,
  218. travel_date=travel_date,
  219. cover_letter="This is a test cover letter.",
  220. passport_image_url="https://placekitten.com/400/400",
  221. selfie_image_url="https://placekitten.com/401/401",
  222. application_form_url="https://example.com/form",
  223. priority=random.randint(1,5),
  224. expected_submit_start='2000-01-01',
  225. expected_submit_end='2100-01-01',
  226. rules="",
  227. status=0,
  228. placeholder=1,
  229. appointment_datetime=datetime.now() + timedelta(days=random.randint(20,200)),
  230. appointment_letter_url="https://example.com/appointment",
  231. pnr_number="",
  232. payment_link="",
  233. payment_help=1,
  234. note="This is a test note."
  235. )
  236. users.append(user)
  237. return users