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			109 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			109 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
import datetime
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from typing import Any, Dict, Optional, Text, 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: Text
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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):
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        # type: () -> Text
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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():
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    # type: () -> 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):
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    # type: (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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# would only ever make entries here by hand
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class Anomaly(models.Model):
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    info = models.CharField(max_length=1000)  # type: Text
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    def __str__(self):
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        # type: () -> Text
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        return "<Anomaly: %s... %s>" % (self.info, self.id)
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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: Text
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    subgroup = models.CharField(max_length=16, null=True)  # type: Optional[Text]
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    end_time = models.DateTimeField()  # type: datetime.datetime
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    value = models.BigIntegerField()  # type: int
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    anomaly = models.ForeignKey(Anomaly, null=True)  # type: Optional[Anomaly]
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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):
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        # type: () -> Text
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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)
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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):
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        # type: () -> Text
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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)
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    realm = models.ForeignKey(Realm)
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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):
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        # type: () -> Text
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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)
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    realm = models.ForeignKey(Realm)
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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):
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        # type: () -> Text
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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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