mirror of https://github.com/jumpserver/jumpserver
90 lines
2.8 KiB
Python
90 lines
2.8 KiB
Python
"""
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此文件作为 `django.db.models` 的 shortcut
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这样做的优点与缺点为:
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优点:
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- 包命名都统一为 `models`
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- 用户在使用的时候只导入本文件即可
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缺点:
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- 此文件中添加代码的时候,注意不要跟 `django.db.models` 中的命名冲突
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"""
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import uuid
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from django.db import models
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from django.db import transaction
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from django.db.models import F, ExpressionWrapper, CASCADE
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from django.db.models import QuerySet
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from django.utils.translation import gettext_lazy as _
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from ..const.signals import SKIP_SIGNAL
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class ChoicesMixin:
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_value2label_map_: dict
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@classmethod
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def get_label(cls, value: (str, int)):
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return cls._value2label_map_[value]
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class BaseCreateUpdateModel(models.Model):
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created_by = models.CharField(max_length=128, null=True, blank=True, verbose_name=_('Created by'))
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updated_by = models.CharField(max_length=128, null=True, blank=True, verbose_name=_('Updated by'))
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date_created = models.DateTimeField(auto_now_add=True, null=True, blank=True, verbose_name=_('Date created'))
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date_updated = models.DateTimeField(auto_now=True, verbose_name=_('Date updated'))
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comment = models.TextField(default='', blank=True, verbose_name=_('Comment'))
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class Meta:
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abstract = True
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class JMSBaseModel(BaseCreateUpdateModel):
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id = models.UUIDField(default=uuid.uuid4, primary_key=True)
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class Meta:
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abstract = True
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def __str__(self):
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return str(self.id)
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def output_as_string(field_name):
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return ExpressionWrapper(F(field_name), output_field=models.CharField())
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class MultiTableChildQueryset(QuerySet):
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def bulk_create(self, objs, batch_size=None):
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assert batch_size is None or batch_size > 0
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if not objs:
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return objs
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self._for_write = True
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objs = list(objs)
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parent_model = self.model._meta.pk.related_model
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parent_objs = []
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for obj in objs:
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parent_values = {}
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for field in [f for f in parent_model._meta.fields if hasattr(obj, f.name)]:
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parent_values[field.name] = getattr(obj, field.name)
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parent_objs.append(parent_model(**parent_values))
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setattr(obj, self.model._meta.pk.attname, obj.id)
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parent_model.objects.bulk_create(parent_objs, batch_size=batch_size)
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with transaction.atomic(using=self.db, savepoint=False):
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self._batched_insert(objs, self.model._meta.local_fields, batch_size)
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return objs
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def CASCADE_SIGNAL_SKIP(collector, field, sub_objs, using):
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# 级联删除时,操作日志标记不保存,以免用户混淆
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try:
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for obj in sub_objs:
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setattr(obj, SKIP_SIGNAL, True)
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except:
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pass
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CASCADE(collector, field, sub_objs, using)
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