zulip/analytics/models.py

import datetime
from typing import Optional

from django.db import models
from django.db.models import Q, UniqueConstraint

from zerver.lib.timestamp import floor_to_day
from zerver.models import Realm, Stream, UserProfile


class FillState(models.Model):
    property: str = models.CharField(max_length=40, unique=True)
    end_time: datetime.datetime = models.DateTimeField()

    # Valid states are {DONE, STARTED}
    DONE = 1
    STARTED = 2
    state: int = models.PositiveSmallIntegerField()

    def __str__(self) -> str:
        return f"<FillState: {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)


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: str = models.CharField(max_length=32)
    subgroup: Optional[str] = models.CharField(max_length=16, null=True)
    end_time: datetime.datetime = models.DateTimeField()
    value: int = models.BigIntegerField()

    class Meta:
        abstract = True


class InstallationCount(BaseCount):
    class Meta:
        # Handles invalid duplicate InstallationCount data
        constraints = [
            UniqueConstraint(
                fields=["property", "subgroup", "end_time"],
                condition=Q(subgroup__isnull=False),
                name='unique_installation_count',
            ),
            UniqueConstraint(
                fields=["property", "end_time"],
                condition=Q(subgroup__isnull=True),
                name='unique_installation_count_null_subgroup',
            ),
        ]

    def __str__(self) -> str:
        return f"<InstallationCount: {self.property} {self.subgroup} {self.value}>"


class RealmCount(BaseCount):
    realm = models.ForeignKey(Realm, on_delete=models.CASCADE)

    class Meta:
        # Handles invalid duplicate RealmCount data
        constraints = [
            UniqueConstraint(
                fields=["realm", "property", "subgroup", "end_time"],
                condition=Q(subgroup__isnull=False),
                name='unique_realm_count',
            ),
            UniqueConstraint(
                fields=["realm", "property", "end_time"],
                condition=Q(subgroup__isnull=True),
                name='unique_realm_count_null_subgroup',
            ),
        ]
        index_together = ["property", "end_time"]

    def __str__(self) -> str:
        return f"<RealmCount: {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:
        # Handles invalid duplicate UserCount data
        constraints = [
            UniqueConstraint(
                fields=["user", "property", "subgroup", "end_time"],
                condition=Q(subgroup__isnull=False),
                name='unique_user_count',
            ),
            UniqueConstraint(
                fields=["user", "property", "end_time"],
                condition=Q(subgroup__isnull=True),
                name='unique_user_count_null_subgroup',
            ),
        ]
        # This index dramatically improves the performance of
        # aggregating from users to realms
        index_together = ["property", "realm", "end_time"]

    def __str__(self) -> str:
        return f"<UserCount: {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:
        # Handles invalid duplicate StreamCount data
        constraints = [
            UniqueConstraint(
                fields=["stream", "property", "subgroup", "end_time"],
                condition=Q(subgroup__isnull=False),
                name='unique_stream_count',
            ),
            UniqueConstraint(
                fields=["stream", "property", "end_time"],
                condition=Q(subgroup__isnull=True),
                name='unique_stream_count_null_subgroup',
            ),
        ]
        # This index dramatically improves the performance of
        # aggregating from streams to realms
        index_together = ["property", "realm", "end_time"]

    def __str__(self) -> str:
        return (
            f"<StreamCount: {self.stream} {self.property} {self.subgroup} {self.value} {self.id}>"
        )