66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
import logging
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from queries.connection import connection
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logger = logging.getLogger(__name__)
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def get_all_daily_analytics(end_date:str = 'now'):
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try:
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return connection.query('''
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WITH RECURSIVE timeseries(d) AS (
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VALUES(date(:end_date))
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UNION ALL
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SELECT date(d, '-1 day') as d
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FROM timeseries
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WHERE d > date(:end_date, '-30 days')
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),
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stats AS (
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SELECT
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date(timestamp) as d,
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counter_id,
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sum(increment) as count
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FROM entries
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group by counter_id, date(timestamp)
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)
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select
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s.d as date,
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case
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when counter_id is null then json_object()
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else json_group_object(name, count)
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end as counters
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FROM timeseries s
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left outer join stats t on s.d = t.d
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left join counters c on t.counter_id = c.id
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GROUP by s.d
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''', params={"end_date": end_date}, ttl=0)
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except Exception as e:
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logger.error(e)
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return None
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def get_daily_analytics(counter_id:int, end_date:str = 'now'):
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try:
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return connection.query('''
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WITH RECURSIVE timeseries(d) AS (
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VALUES(date(:end_date))
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UNION ALL
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SELECT date(d, '-1 day') as d
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FROM timeseries
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WHERE d > date(:end_date, '-7 days')
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),
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stats AS (
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SELECT
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date(timestamp) as d,
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sum(increment) as count
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FROM entries
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where counter_id = :id
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group by date(timestamp)
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)
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SELECT
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t.d as "date",
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coalesce(s.count, 0) as count
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FROM timeseries as t
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LEFT JOIN stats as s on s.d = t.d
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''', params={'id': counter_id, "end_date": end_date}, ttl=0)
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except Exception as e:
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logger.error(e)
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return None |