79 lines
2.8 KiB
Python
79 lines
2.8 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_monthly_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,'start of year'))
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UNION ALL
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SELECT date(d, '+1 month') as d
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FROM timeseries
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WHERE d < date(:end_date, '-1 month')
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),
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months AS (
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SELECT
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strftime('%m',d) as m,
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strftime('%Y',d) as y
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FROM timeseries
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),
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stats AS (
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SELECT
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strftime('%m', timestamp) as m,
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strftime('%Y', timestamp) as y,
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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, strftime('%m', timestamp), strftime('%Y', timestamp)
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)
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select
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m.m || ', ' || m.y as "month",
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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 months m
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left outer join stats t on m.m = t.m and m.y = t.y
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left join counters c on t.counter_id = c.id
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GROUP by m.m, m.y
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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_monthly_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, 'start of year'))
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UNION ALL
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SELECT date(d, '+1 month')
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FROM timeseries
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WHERE d < date(:end_date, '-1 month')
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),
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months AS (
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SELECT
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strftime('%m',d) as m,
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strftime('%Y',d) as y
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FROM timeseries
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),
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stats AS (
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SELECT
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strftime('%m', timestamp) as m,
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strftime('%Y', timestamp) as y,
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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 strftime('%m', timestamp), strftime('%Y', timestamp)
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)
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SELECT
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m.m || ', ' || m.y as "month",
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coalesce(s.count, 0) as count
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FROM months as m
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LEFT JOIN stats as s on s.m = m.m and s.y = m.y
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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 |