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posthog/ee/tasks/test/test_calculate_cohort.py
Karl-Aksel Puulmann fa79f8ea67
BE (Groups/Trends): Allow aggregating by groups (#6894)
* Type math in Entity

* Allow passing group_type_index from FE to BE

* Get a initial query running

* Add group value filter if aggregating by groups

* Add snapshot testing for trends queries

* isort

* Update tests

* Add test for column_optimizer

* Update ee/clickhouse/queries/trends/util.py

Co-authored-by: Neil Kakkar <neilkakkar@gmail.com>

Co-authored-by: Neil Kakkar <neilkakkar@gmail.com>
2021-11-05 13:08:32 +02:00

230 lines
8.4 KiB
Python

from unittest.mock import patch
from uuid import uuid4
from freezegun import freeze_time
from ee.clickhouse.client import sync_execute
from ee.clickhouse.models.event import create_event
from ee.clickhouse.util import ClickhouseTestMixin
from posthog.models.cohort import Cohort
from posthog.models.person import Person
from posthog.tasks.calculate_cohort import insert_cohort_from_query
from posthog.tasks.test.test_calculate_cohort import calculate_cohort_test_factory
def _create_event(**kwargs):
kwargs.update({"event_uuid": uuid4()})
create_event(**kwargs)
def _create_person(**kwargs):
person = Person.objects.create(**kwargs)
return Person(id=person.uuid)
class TestClickhouseCalculateCohort(ClickhouseTestMixin, calculate_cohort_test_factory(_create_event, _create_person)): # type: ignore
@patch("posthog.tasks.calculate_cohort.insert_cohort_from_query.delay")
def test_create_stickiness_cohort(self, _insert_cohort_from_query):
_create_person(team_id=self.team.pk, distinct_ids=["blabla"])
_create_event(
team=self.team,
event="$pageview",
distinct_id="blabla",
properties={"$math_prop": 1},
timestamp="2021-01-01T12:00:00Z",
)
response = self.client.post(
f"/api/projects/{self.team.id}/cohorts/?insight=STICKINESS&properties=%5B%5D&interval=day&display=ActionsLineGraph&events=%5B%7B%22id%22%3A%22%24pageview%22%2C%22name%22%3A%22%24pageview%22%2C%22type%22%3A%22events%22%2C%22order%22%3A0%7D%5D&shown_as=Stickiness&date_from=2021-01-01&entity_id=%24pageview&entity_type=events&stickiness_days=1&label=%24pageview",
{"name": "test", "is_static": True},
).json()
cohort_id = response["id"]
_insert_cohort_from_query.assert_called_once_with(
cohort_id,
"STICKINESS",
{
"date_from": "2021-01-01",
"events": [
{
"id": "$pageview",
"type": "events",
"order": 0,
"name": "$pageview",
"custom_name": None,
"math": None,
"math_property": None,
"math_group_type_index": None,
"properties": [],
}
],
"insight": "STICKINESS",
"interval": "day",
"selected_interval": 1,
"shown_as": "Stickiness",
},
entity_data={
"id": "$pageview",
"type": "events",
"order": None,
"name": "$pageview",
"custom_name": None,
"math": None,
"math_property": None,
"math_group_type_index": None,
"properties": [],
},
)
insert_cohort_from_query(
cohort_id,
"STICKINESS",
{
"date_from": "2021-01-01",
"events": [
{
"id": "$pageview",
"type": "events",
"order": 0,
"name": "$pageview",
"custom_name": None,
"math": None,
"math_property": None,
"math_group_type_index": None,
"properties": [],
}
],
"insight": "STICKINESS",
"interval": "day",
"selected_interval": 1,
"shown_as": "Stickiness",
},
entity_data={
"id": "$pageview",
"type": "events",
"order": None,
"name": "$pageview",
"custom_name": None,
"math": None,
"math_property": None,
"math_group_type_index": None,
"properties": [],
},
)
cohort = Cohort.objects.get(pk=cohort_id)
people = Person.objects.filter(cohort__id=cohort.pk)
self.assertEqual(len(people), 1)
@patch("posthog.tasks.calculate_cohort.insert_cohort_from_query.delay")
def test_create_trends_cohort(self, _insert_cohort_from_query):
_create_person(team_id=self.team.pk, distinct_ids=["blabla"])
with freeze_time("2021-01-01 00:06:34"):
_create_event(
team=self.team,
event="$pageview",
distinct_id="blabla",
properties={"$math_prop": 1},
timestamp="2021-01-01T12:00:00Z",
)
with freeze_time("2021-01-02 00:06:34"):
_create_event(
team=self.team,
event="$pageview",
distinct_id="blabla",
properties={"$math_prop": 4},
timestamp="2021-01-01T12:00:00Z",
)
response = self.client.post(
f"/api/projects/{self.team.id}/cohorts/?interval=day&display=ActionsLineGraph&events=%5B%7B%22id%22%3A%22%24pageview%22%2C%22name%22%3A%22%24pageview%22%2C%22type%22%3A%22events%22%2C%22order%22%3A0%7D%5D&properties=%5B%5D&entity_id=%24pageview&entity_type=events&date_from=2021-01-01&date_to=2021-01-01&label=%24pageview",
{"name": "test", "is_static": True},
).json()
cohort_id = response["id"]
_insert_cohort_from_query.assert_called_once_with(
cohort_id,
"TRENDS",
{
"date_from": "2021-01-01",
"date_to": "2021-01-01",
"display": "ActionsLineGraph",
"events": [
{
"id": "$pageview",
"type": "events",
"order": 0,
"name": "$pageview",
"custom_name": None,
"math": None,
"math_property": None,
"properties": [],
}
],
"entity_id": "$pageview",
"entity_type": "events",
"insight": "TRENDS",
"interval": "day",
},
entity_data={
"id": "$pageview",
"type": "events",
"order": None,
"name": "$pageview",
"custom_name": None,
"math": None,
"math_property": None,
"properties": [],
},
)
insert_cohort_from_query(
cohort_id,
"TRENDS",
{
"date_from": "2021-01-01",
"date_to": "2021-01-01",
"display": "ActionsLineGraph",
"events": [
{
"id": "$pageview",
"type": "events",
"order": 0,
"name": "$pageview",
"math": None,
"math_property": None,
"properties": [],
}
],
"entity_id": "$pageview",
"entity_type": "events",
"insight": "TRENDS",
"interval": "day",
},
entity_data={
"id": "$pageview",
"type": "events",
"order": 0,
"name": "$pageview",
"math": None,
"math_property": None,
"properties": [],
},
)
cohort = Cohort.objects.get(pk=cohort_id)
people = Person.objects.filter(cohort__id=cohort.pk)
self.assertEqual(cohort.errors_calculating, 0)
self.assertEqual(
len(people),
1,
{
"a": sync_execute(
"select person_id from person_static_cohort where team_id = {} and cohort_id = {} ".format(
self.team.id, cohort.pk
)
),
"b": sync_execute(
"select person_id from person_static_cohort FINAL where team_id = {} and cohort_id = {} ".format(
self.team.id, cohort.pk
)
),
},
)