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93 lines
3.5 KiB
Python
93 lines
3.5 KiB
Python
import datetime
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from typing import Any, Dict, Optional, Tuple, Union
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from django.db import models
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from zerver.lib.timestamp import floor_to_day
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from zerver.models import Realm, Recipient, Stream, UserProfile
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class FillState(models.Model):
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property = models.CharField(max_length=40, unique=True) # type: str
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end_time = models.DateTimeField() # type: datetime.datetime
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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() # type: int
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last_modified = models.DateTimeField(auto_now=True) # type: datetime.datetime
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def __str__(self) -> str:
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return "<FillState: %s %s %s>" % (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'))['date_created__min']
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return floor_to_day(earliest_realm_creation)
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def last_successful_fill(property: str) -> Optional[datetime.datetime]:
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fillstate = FillState.objects.filter(property=property).first()
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if fillstate is None:
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return None
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if fillstate.state == FillState.DONE:
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return fillstate.end_time
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return fillstate.end_time - datetime.timedelta(hours=1)
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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) # type: str
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subgroup = models.CharField(max_length=16, null=True) # type: Optional[str]
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end_time = models.DateTimeField() # type: datetime.datetime
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value = models.BigIntegerField() # type: int
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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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unique_together = ("property", "subgroup", "end_time")
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def __str__(self) -> str:
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return "<InstallationCount: %s %s %s>" % (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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unique_together = ("realm", "property", "subgroup", "end_time")
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index_together = ["property", "end_time"]
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def __str__(self) -> str:
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return "<RealmCount: %s %s %s %s>" % (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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unique_together = ("user", "property", "subgroup", "end_time")
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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 "<UserCount: %s %s %s %s>" % (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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unique_together = ("stream", "property", "subgroup", "end_time")
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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 "<StreamCount: %s %s %s %s %s>" % (
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self.stream, self.property, self.subgroup, self.value, self.id)
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