zulip/analytics/models.py

93 lines
3.4 KiB
Python

import datetime
from typing import Optional
from django.db import models
from zerver.lib.timestamp import floor_to_day
from zerver.models import Realm, Stream, UserProfile
class FillState(models.Model):
property = models.CharField(max_length=40, unique=True) # type: str
end_time = models.DateTimeField() # type: datetime.datetime
# Valid states are {DONE, STARTED}
DONE = 1
STARTED = 2
state = models.PositiveSmallIntegerField() # type: int
last_modified = models.DateTimeField(auto_now=True) # type: datetime.datetime
def __str__(self) -> str:
return "<FillState: %s %s %s>" % (self.property, self.end_time, self.state)
# The earliest/starting end_time in FillState
# We assume there is at least one realm
def installation_epoch() -> datetime.datetime:
earliest_realm_creation = Realm.objects.aggregate(models.Min('date_created'))['date_created__min']
return floor_to_day(earliest_realm_creation)
def last_successful_fill(property: str) -> Optional[datetime.datetime]:
fillstate = FillState.objects.filter(property=property).first()
if fillstate is None:
return None
if fillstate.state == FillState.DONE:
return fillstate.end_time
return fillstate.end_time - datetime.timedelta(hours=1)
class BaseCount(models.Model):
# Note: When inheriting from BaseCount, you may want to rearrange
# the order of the columns in the migration to make sure they
# match how you'd like the table to be arranged.
property = models.CharField(max_length=32) # type: str
subgroup = models.CharField(max_length=16, null=True) # type: Optional[str]
end_time = models.DateTimeField() # type: datetime.datetime
value = models.BigIntegerField() # type: int
class Meta:
abstract = True
class InstallationCount(BaseCount):
class Meta:
unique_together = ("property", "subgroup", "end_time")
def __str__(self) -> str:
return "<InstallationCount: %s %s %s>" % (self.property, self.subgroup, self.value)
class RealmCount(BaseCount):
realm = models.ForeignKey(Realm, on_delete=models.CASCADE)
class Meta:
unique_together = ("realm", "property", "subgroup", "end_time")
index_together = ["property", "end_time"]
def __str__(self) -> str:
return "<RealmCount: %s %s %s %s>" % (self.realm, self.property, self.subgroup, self.value)
class UserCount(BaseCount):
user = models.ForeignKey(UserProfile, on_delete=models.CASCADE)
realm = models.ForeignKey(Realm, on_delete=models.CASCADE)
class Meta:
unique_together = ("user", "property", "subgroup", "end_time")
# This index dramatically improves the performance of
# aggregating from users to realms
index_together = ["property", "realm", "end_time"]
def __str__(self) -> str:
return "<UserCount: %s %s %s %s>" % (self.user, self.property, self.subgroup, self.value)
class StreamCount(BaseCount):
stream = models.ForeignKey(Stream, on_delete=models.CASCADE)
realm = models.ForeignKey(Realm, on_delete=models.CASCADE)
class Meta:
unique_together = ("stream", "property", "subgroup", "end_time")
# This index dramatically improves the performance of
# aggregating from streams to realms
index_together = ["property", "realm", "end_time"]
def __str__(self) -> str:
return "<StreamCount: %s %s %s %s %s>" % (
self.stream, self.property, self.subgroup, self.value, self.id)