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ef7f31c482
* Simplify filters code * Simplify filters ASAP if filter is created * Simplify route * Remove simplification-specific logic from queries * Remove recursion, update tests * Pass team in more cases * Update column optimizer specs * Test simplify * Update trends test * Fix rebase fail
55 lines
2.3 KiB
Python
55 lines
2.3 KiB
Python
from datetime import datetime
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from typing import Any, Dict, List, Union, cast
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from dateutil.relativedelta import relativedelta
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from django.utils import timezone
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from ee.clickhouse.queries.sessions.average import ClickhouseSessionsAvg
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from ee.clickhouse.queries.sessions.distribution import ClickhouseSessionsDist
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from posthog.constants import SESSION_AVG, SESSION_DIST
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from posthog.models import Team
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from posthog.models.filters.sessions_filter import SessionsFilter
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from posthog.queries.base import BaseQuery, convert_to_comparison, determine_compared_filter
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from posthog.utils import relative_date_parse
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def set_default_dates(filter: SessionsFilter) -> SessionsFilter:
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data = {}
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if filter.session != SESSION_AVG and filter.session != SESSION_DIST:
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date_from = filter.date_from
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if not filter._date_from:
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date_from = timezone.now().replace(hour=0, minute=0, second=0, microsecond=0)
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data.update({"date_from": date_from})
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if not filter._date_to:
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data.update({"date_to": cast(datetime, date_from) + relativedelta(days=1)})
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else:
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if not filter._date_from:
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data.update({"date_from": relative_date_parse("-7d")})
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if not filter._date_to:
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data.update({"date_to": timezone.now()})
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return filter.with_data({**data, "user_id": filter.user_id})
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class ClickhouseSessions(BaseQuery, ClickhouseSessionsAvg, ClickhouseSessionsDist):
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def run(self, filter: SessionsFilter, team: Team, *args, **kwargs) -> List[Dict[str, Any]]:
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result: List = []
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filter = set_default_dates(filter)
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if filter.session == SESSION_AVG:
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if filter.compare:
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current_response = self.calculate_avg(filter, team)
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parsed_response = convert_to_comparison(current_response, filter, "current")
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result.extend(parsed_response)
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compared_filter = determine_compared_filter(filter)
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compared_result = self.calculate_avg(compared_filter, team)
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compared_res = convert_to_comparison(compared_result, filter, "previous")
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result.extend(compared_res)
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else:
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result = self.calculate_avg(filter, team)
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elif filter.session == SESSION_DIST:
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result = self.calculate_dist(filter, team)
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return result
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