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142 lines
4.5 KiB
142 lines
4.5 KiB
from tortoise import fields, models
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from tortoise.indexes import Index
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from tortoise.contrib.pydantic import pydantic_model_creator, pydantic_queryset_creator
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from tortoise.signals import post_save
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from typing import Type
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from helper.tools import genRandomStr
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class Vacancy(models.Model):
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id = fields.UUIDField(pk=True)
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number = fields.CharField(max_length=255, null=True, description='空位编号')
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traynum = fields.CharField(max_length=255, null=True, description='托盘编号')
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orderids = fields.JSONField(null=True, description='托盘编号对应的订单号列表')
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memo = fields.JSONField(null=True, description='备忘录')
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is_shelf = fields.BooleanField(default=False, description='是货架库存')
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is_connect = fields.BooleanField(default=False, description='是接驳区库存')
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created_at = fields.DatetimeField(auto_now_add=True)
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updated_at = fields.DatetimeField(auto_now=True)
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is_valid = fields.BooleanField(default=True, description='是否取消')
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is_active = fields.BooleanField(default=True, description='是否删除')
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class PydanticMeta:
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# Let's exclude the created timestamp
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exclude = ("created_at",)
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class Meta:
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table = 'Vacancys'
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table_description = '暂存货架或接驳机空位编号表'
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ordering = ["number", "created_at"]
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indexes = [
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Index(fields={"number"}, name="numberidx"),
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Index(fields={"traynum"}, name="traynumidx"),
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Index(fields={"is_shelf"}, name="is_shelfidx"),
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Index(fields={"is_connect"}, name="is_connectidx"),
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Index(fields={"is_valid"}, name="is_valididx"),
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Index(fields={"is_active"}, name="is_activeidx"),
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]
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def __str__(self):
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return f'Vacancy(id={self.id} number={self.number}, traynum={self.traynum}, created_at={self.created_at})'
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def as_json(self):
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return dict(id="{}".format(self.id), number=self.number, traynum=self.traynum, created_at="{}".format(self.created_at))
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Vacancy_Pydantic = pydantic_model_creator(Vacancy, name="Vacancy")
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Vacancy_Pydantic_List = pydantic_queryset_creator(Vacancy)
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class Schelve(models.Model):
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id = fields.UUIDField(pk=True)
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num = fields.CharField(null=True, max_length=255, description='短编号')
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name = fields.CharField(null=True, max_length=255, description='暂存货架编号')
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vacancies = fields.ManyToManyField('models.Vacancy', related_name='schelvevacancies')
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memo = fields.JSONField(null=True, description='备忘录')
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created_at = fields.DatetimeField(auto_now_add=True)
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updated_at = fields.DatetimeField(auto_now=True)
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is_valid = fields.BooleanField(default=True, description='是否取消')
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is_active = fields.BooleanField(default=True, description='是否删除')
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class PydanticMeta:
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# Let's exclude the created timestamp
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exclude = ("created_at",)
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allow_cycles = True
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max_recursion = 4
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class Meta:
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table = 'Schelves'
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table_description = '暂存货架库存表'
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ordering = ["name", "created_at"]
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indexes = [
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Index(fields={"name"}, name="nameidx"),
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Index(fields={"num"}, name="numidx"),
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Index(fields={"is_valid"}, name="is_valididx"),
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Index(fields={"is_active"}, name="is_activeidx"),
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]
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def __str__(self):
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return f'Schelve(id={self.id} num={self.num}, created_at={self.created_at})'
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def as_json(self):
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return dict(
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id="{}".format(self.id),
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num=self.num,
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name =self.name,
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memo =self.memo,
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is_valid =self.is_valid,
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is_active =self.is_active,
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updated_at="{}".format(self.updated_at),
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created_at="{}".format(self.created_at))
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Schelve_Pydantic = pydantic_model_creator(Schelve, name="Schelve")
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@post_save(Schelve)
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async def schelve_post_save(
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sender: "Type[Schelve]",
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instance: Schelve,
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created,
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using_db,
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update_fields,
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) -> None:
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if not instance.num or "null" == instance.num:
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# print("instance.num: ", instance.num)
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# check duplicated num
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async def checkNum():
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num = genRandomStr(4)
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# print("new num: ", num)
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if await Schelve.filter(num = num).exists():
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# print("num exist, ", num)
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checkNum()
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else:
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# print("num not exist, ", num)
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instance.num = num
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await instance.save()
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await checkNum()
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