2017-11-16 00:55:49 +01:00
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import datetime
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2019-02-02 23:53:19 +01:00
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from typing import Optional
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2017-11-16 00:55:49 +01:00
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2016-07-29 21:52:45 +02:00
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from django.db import models
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2020-02-29 22:48:15 +01:00
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from django.db.models import Q, UniqueConstraint
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2016-07-29 21:52:45 +02:00
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2017-02-28 18:39:36 +01:00
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from zerver.lib.timestamp import floor_to_day
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2019-02-02 23:53:19 +01:00
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from zerver.models import Realm, Stream, UserProfile
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2016-07-29 21:52:45 +02:00
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2017-10-27 08:42:27 +02:00
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class FillState(models.Model):
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2018-05-10 18:35:50 +02:00
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property = models.CharField(max_length=40, unique=True) # type: str
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2017-05-07 16:32:20 +02:00
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end_time = models.DateTimeField() # type: datetime.datetime
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2016-10-12 23:40:48 +02:00
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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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2017-05-07 16:32:20 +02:00
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state = models.PositiveSmallIntegerField() # type: int
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2016-10-12 23:40:48 +02:00
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2018-05-10 18:35:50 +02:00
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def __str__(self) -> str:
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2017-10-27 09:06:40 +02:00
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return "<FillState: %s %s %s>" % (self.property, self.end_time, self.state)
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2016-10-12 23:40:48 +02:00
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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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2017-11-22 07:55:37 +01:00
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def installation_epoch() -> datetime.datetime:
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analytics: Simplify frequency and measurement interval options.
Change the CountStat object to take an is_gauge variable instead of a
smallest_interval variable. Previously, (smallest_interval, frequency)
could be any of (hour, hour), (hour, day), (hour, gauge), (day, hour),
(day, day), or (day, gauge).
The current change is equivalent to excluding (hour, day) and (day, hour)
from the list above.
This change, along with other recent changes, allows us to simplify how we
handle time intervals. This commit also removes the TimeInterval object.
2016-10-14 00:15:46 +02:00
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earliest_realm_creation = Realm.objects.aggregate(models.Min('date_created'))['date_created__min']
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2017-02-28 18:39:36 +01:00
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return floor_to_day(earliest_realm_creation)
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2016-07-29 21:52:45 +02:00
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2017-11-22 07:55:37 +01:00
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def last_successful_fill(property: str) -> Optional[datetime.datetime]:
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2017-02-08 08:04:10 +01:00
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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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2017-10-27 08:42:27 +02:00
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class BaseCount(models.Model):
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2016-10-06 23:25:55 +02:00
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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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2018-05-10 18:35:50 +02:00
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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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2017-05-07 16:32:20 +02:00
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end_time = models.DateTimeField() # type: datetime.datetime
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value = models.BigIntegerField() # type: int
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2016-07-29 21:52:45 +02:00
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2017-11-05 11:30:44 +01:00
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class Meta:
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2016-07-29 21:52:45 +02:00
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abstract = True
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class InstallationCount(BaseCount):
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2017-11-05 11:30:44 +01:00
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class Meta:
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2020-02-29 22:48:15 +01:00
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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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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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2016-07-29 21:52:45 +02:00
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2018-05-10 18:35:50 +02:00
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def __str__(self) -> str:
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2017-10-27 09:06:40 +02:00
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return "<InstallationCount: %s %s %s>" % (self.property, self.subgroup, self.value)
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2016-07-29 21:52:45 +02:00
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class RealmCount(BaseCount):
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2018-01-29 08:17:31 +01:00
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realm = models.ForeignKey(Realm, on_delete=models.CASCADE)
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2016-07-29 21:52:45 +02:00
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2017-11-05 11:30:44 +01:00
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class Meta:
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2020-02-29 22:48:15 +01:00
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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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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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2017-02-01 23:29:55 +01:00
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index_together = ["property", "end_time"]
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2016-07-29 21:52:45 +02:00
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2018-05-10 18:35:50 +02:00
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def __str__(self) -> str:
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2017-10-27 09:06:40 +02:00
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return "<RealmCount: %s %s %s %s>" % (self.realm, self.property, self.subgroup, self.value)
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2016-07-29 21:52:45 +02:00
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class UserCount(BaseCount):
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2018-01-29 08:17:31 +01:00
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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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2016-07-29 21:52:45 +02:00
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2017-11-05 11:30:44 +01:00
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class Meta:
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2020-02-29 22:48:15 +01:00
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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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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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2017-02-01 23:29:55 +01:00
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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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2016-07-29 21:52:45 +02:00
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2018-05-10 18:35:50 +02:00
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def __str__(self) -> str:
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2017-10-27 09:06:40 +02:00
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return "<UserCount: %s %s %s %s>" % (self.user, self.property, self.subgroup, self.value)
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2016-07-29 21:52:45 +02:00
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class StreamCount(BaseCount):
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2018-01-29 08:17:31 +01:00
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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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2016-07-29 21:52:45 +02:00
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2017-11-05 11:30:44 +01:00
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class Meta:
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2020-02-29 22:48:15 +01:00
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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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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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2017-02-01 23:29:55 +01:00
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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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2016-07-29 21:52:45 +02:00
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2018-05-10 18:35:50 +02:00
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def __str__(self) -> str:
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2017-11-04 12:38:25 +01:00
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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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