perf: 优化生成假数据 (#4759)

* perf: 优化生成假数据

apps/users/models/user.py

@@ -670,28 +670,3 @@ class User(AuthMixin, TokenMixin, RoleMixin, MFAMixin, AbstractUser):
         if self.email and self.source == self.SOURCE_LOCAL:
             return True
         return False
-
-    @classmethod
-    def generate_fake(cls, count=100):
-        from random import seed, choice
-        import forgery_py
-        from django.db import IntegrityError
-        from .group import UserGroup
-
-        seed()
-        for i in range(count):
-            user = cls(username=forgery_py.internet.user_name(True),
-                       email=forgery_py.internet.email_address(),
-                       name=forgery_py.name.full_name(),
-                       password=make_password(forgery_py.lorem_ipsum.word()),
-                       role=choice(list(dict(User.ROLE.choices).keys())),
-                       wechat=forgery_py.internet.user_name(True),
-                       comment=forgery_py.lorem_ipsum.sentence(),
-                       created_by=choice(cls.objects.all()).username)
-            try:
-                user.save()
-            except IntegrityError:
-                print('Duplicate Error, continue ...')
-                continue
-            user.groups.add(choice(UserGroup.objects.all()))
-            user.save()