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Previously, we type the model fields with explicit type annotations manually with the approximate types. This was because the lack of types for Django. django-stubs provides more specific types for all these fields that incompatible with our previous approximate annotations. So now we can remove the inline type annotations and rely on the types defined in the stubs. This allows mypy to infer the types of the model fields for us. Signed-off-by: Zixuan James Li <p359101898@gmail.com>
140 lines
4.6 KiB
Python
140 lines
4.6 KiB
Python
import datetime
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from django.db import models
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from django.db.models import Q, UniqueConstraint
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from zerver.lib.timestamp import floor_to_day
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from zerver.models import Realm, Stream, UserProfile
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class FillState(models.Model):
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property = models.CharField(max_length=40, unique=True)
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end_time = models.DateTimeField()
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# Valid states are {DONE, STARTED}
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DONE = 1
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STARTED = 2
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state = models.PositiveSmallIntegerField()
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def __str__(self) -> str:
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return f"<FillState: {self.property} {self.end_time} {self.state}>"
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# The earliest/starting end_time in FillState
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# We assume there is at least one realm
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def installation_epoch() -> datetime.datetime:
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earliest_realm_creation = Realm.objects.aggregate(models.Min("date_created"))[
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"date_created__min"
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]
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return floor_to_day(earliest_realm_creation)
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class BaseCount(models.Model):
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# Note: When inheriting from BaseCount, you may want to rearrange
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# the order of the columns in the migration to make sure they
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# match how you'd like the table to be arranged.
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property = models.CharField(max_length=32)
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subgroup = models.CharField(max_length=16, null=True)
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end_time = models.DateTimeField()
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value = models.BigIntegerField()
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class Meta:
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abstract = True
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class InstallationCount(BaseCount):
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class Meta:
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# Handles invalid duplicate InstallationCount data
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constraints = [
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UniqueConstraint(
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fields=["property", "subgroup", "end_time"],
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condition=Q(subgroup__isnull=False),
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name="unique_installation_count",
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),
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UniqueConstraint(
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fields=["property", "end_time"],
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condition=Q(subgroup__isnull=True),
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name="unique_installation_count_null_subgroup",
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),
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]
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def __str__(self) -> str:
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return f"<InstallationCount: {self.property} {self.subgroup} {self.value}>"
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class RealmCount(BaseCount):
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realm = models.ForeignKey(Realm, on_delete=models.CASCADE)
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class Meta:
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# Handles invalid duplicate RealmCount data
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constraints = [
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UniqueConstraint(
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fields=["realm", "property", "subgroup", "end_time"],
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condition=Q(subgroup__isnull=False),
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name="unique_realm_count",
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),
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UniqueConstraint(
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fields=["realm", "property", "end_time"],
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condition=Q(subgroup__isnull=True),
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name="unique_realm_count_null_subgroup",
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),
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]
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index_together = ["property", "end_time"]
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def __str__(self) -> str:
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return f"<RealmCount: {self.realm} {self.property} {self.subgroup} {self.value}>"
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class UserCount(BaseCount):
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user = models.ForeignKey(UserProfile, on_delete=models.CASCADE)
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realm = models.ForeignKey(Realm, on_delete=models.CASCADE)
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class Meta:
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# Handles invalid duplicate UserCount data
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constraints = [
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UniqueConstraint(
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fields=["user", "property", "subgroup", "end_time"],
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condition=Q(subgroup__isnull=False),
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name="unique_user_count",
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),
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UniqueConstraint(
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fields=["user", "property", "end_time"],
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condition=Q(subgroup__isnull=True),
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name="unique_user_count_null_subgroup",
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),
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]
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# This index dramatically improves the performance of
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# aggregating from users to realms
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index_together = ["property", "realm", "end_time"]
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def __str__(self) -> str:
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return f"<UserCount: {self.user} {self.property} {self.subgroup} {self.value}>"
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class StreamCount(BaseCount):
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stream = models.ForeignKey(Stream, on_delete=models.CASCADE)
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realm = models.ForeignKey(Realm, on_delete=models.CASCADE)
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class Meta:
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# Handles invalid duplicate StreamCount data
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constraints = [
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UniqueConstraint(
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fields=["stream", "property", "subgroup", "end_time"],
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condition=Q(subgroup__isnull=False),
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name="unique_stream_count",
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),
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UniqueConstraint(
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fields=["stream", "property", "end_time"],
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condition=Q(subgroup__isnull=True),
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name="unique_stream_count_null_subgroup",
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),
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]
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# This index dramatically improves the performance of
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# aggregating from streams to realms
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index_together = ["property", "realm", "end_time"]
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def __str__(self) -> str:
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return (
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f"<StreamCount: {self.stream} {self.property} {self.subgroup} {self.value} {self.id}>"
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)
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