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Merge pull request #373 from SyncrowIOT/DATA-space-occupancy-duration-procedure

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DATA-space-occupancy-duration
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faljawhary
2025-05-15 12:36:09 +03:00
committed by GitHub
parent e575e51c4c 56e78683b3
commit dca3db0c59
3 changed files with 249 additions and 0 deletions
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115
libs/common/src/sql/procedures/fact_daily_space_occupancy_duration/procedure_insert_all_daily_spacy_occupancy_duration.sql Normal file
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-- Step 1: Get device presence events with previous timestamps
WITH start_date AS (
SELECT
d.uuid AS device_id,
d.space_device_uuid AS space_id,
l.value,
l.event_time::timestamp AS event_time,
LAG(l.event_time::timestamp) OVER (PARTITION BY d.uuid ORDER BY l.event_time) AS prev_timestamp
FROM device d
LEFT JOIN "device-status-log" l
ON d.uuid = l.device_id
LEFT JOIN product p
ON p.uuid = d.product_device_uuid
WHERE p.cat_name = 'hps'
AND l.code = 'presence_state'
),
-- Step 2: Identify periods when device reports "none"
device_none_periods AS (
SELECT
space_id,
device_id,
event_time AS empty_from,
LEAD(event_time) OVER (PARTITION BY device_id ORDER BY event_time) AS empty_until
FROM start_date
WHERE value = 'none'
),
-- Step 3: Clip the "none" periods to the edges of each day
clipped_device_none_periods AS (
SELECT
space_id,
GREATEST(empty_from, DATE_TRUNC('day', empty_from)) AS clipped_from,
LEAST(empty_until, DATE_TRUNC('day', empty_until) + INTERVAL '1 day') AS clipped_until
FROM device_none_periods
WHERE empty_until IS NOT NULL
),
-- Step 4: Break multi-day periods into daily intervals
generated_daily_intervals AS (
SELECT
space_id,
gs::date AS day,
GREATEST(clipped_from, gs) AS interval_start,
LEAST(clipped_until, gs + INTERVAL '1 day') AS interval_end
FROM clipped_device_none_periods,
LATERAL generate_series(DATE_TRUNC('day', clipped_from), DATE_TRUNC('day', clipped_until), INTERVAL '1 day') AS gs
),
-- Step 5: Merge overlapping or adjacent intervals per day
merged_intervals AS (
SELECT
space_id,
day,
interval_start,
interval_end
FROM (
SELECT
space_id,
day,
interval_start,
interval_end,
LAG(interval_end) OVER (PARTITION BY space_id, day ORDER BY interval_start) AS prev_end
FROM generated_daily_intervals
) sub
WHERE prev_end IS NULL OR interval_start > prev_end
),
-- Step 6: Sum up total missing seconds (device reported "none") per day
missing_seconds_per_day AS (
SELECT
space_id,
day AS missing_date,
SUM(EXTRACT(EPOCH FROM (interval_end - interval_start))) AS total_missing_seconds
FROM merged_intervals
GROUP BY space_id, day
),
-- Step 7: Calculate total occupied time per day (86400 - missing)
occupied_seconds_per_day AS (
SELECT
space_id,
missing_date as event_date,
86400 - total_missing_seconds AS total_occupied_seconds,
(86400 - total_missing_seconds)/86400*100 as occupancy_prct
FROM missing_seconds_per_day
)
-- Final Output
, final_data as (
SELECT space_id,
event_date,
total_occupied_seconds,
occupancy_prct
FROM occupied_seconds_per_day
ORDER BY 1,2
)
INSERT INTO public."space-daily-occupancy-duration" (
space_uuid,
event_date,
occupied_seconds,
occupancy_percentage
)
select space_id,
event_date,
total_occupied_seconds,
occupancy_prct
FROM final_data
ON CONFLICT (space_uuid, event_date) DO UPDATE
SET
occupancy_percentage = EXCLUDED.occupancy_percentage;

17
libs/common/src/sql/procedures/fact_daily_space_occupancy_duration/procedure_select_daily_space_occupancy_duration.sql Normal file
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WITH params AS (
SELECT
$1::uuid AS space_uuid,
TO_DATE(NULLIF($2, ''), 'YYYY-MM') AS event_month
)
SELECT sdo.space_uuid,
event_date,
occupancy_percentage,
occupied_seconds
FROM public."space-daily-occupancy-duration" as sdo
JOIN params P ON true
where (sdo.space_uuid = P.space_uuid
OR P.event_month IS null)
AND TO_CHAR(sdo.event_date, 'YYYY-MM') = TO_CHAR(P.event_month, 'YYYY-MM')
ORDER BY sdo.space_uuid, sdo.event_date;

117
libs/common/src/sql/procedures/fact_daily_space_occupancy_duration/procedure_update_daily_space_occupancy_duration.sql Normal file
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WITH params AS (
SELECT
TO_DATE(NULLIF($1, ''), 'YYYY-MM-DD') AS event_date,
$2::uuid AS space_id
)
, start_date AS (
SELECT
d.uuid AS device_id,
d.space_device_uuid AS space_id,
l.value,
l.event_time::timestamp AS event_time,
LAG(l.event_time::timestamp) OVER (PARTITION BY d.uuid ORDER BY l.event_time) AS prev_timestamp
FROM device d
LEFT JOIN "device-status-log" l
ON d.uuid = l.device_id
LEFT JOIN product p
ON p.uuid = d.product_device_uuid
WHERE p.cat_name = 'hps'
AND l.code = 'presence_state'
),
-- Step 2: Identify periods when device reports "none"
device_none_periods AS (
SELECT
space_id,
device_id,
event_time AS empty_from,
LEAD(event_time) OVER (PARTITION BY device_id ORDER BY event_time) AS empty_until
FROM start_date
WHERE value = 'none'
),
-- Step 3: Clip the "none" periods to the edges of each day
clipped_device_none_periods AS (
SELECT
space_id,
GREATEST(empty_from, DATE_TRUNC('day', empty_from)) AS clipped_from,
LEAST(empty_until, DATE_TRUNC('day', empty_until) + INTERVAL '1 day') AS clipped_until
FROM device_none_periods
WHERE empty_until IS NOT NULL
),
-- Step 4: Break multi-day periods into daily intervals
generated_daily_intervals AS (
SELECT
space_id,
gs::date AS day,
GREATEST(clipped_from, gs) AS interval_start,
LEAST(clipped_until, gs + INTERVAL '1 day') AS interval_end
FROM clipped_device_none_periods,
LATERAL generate_series(DATE_TRUNC('day', clipped_from), DATE_TRUNC('day', clipped_until), INTERVAL '1 day') AS gs
),
-- Step 5: Merge overlapping or adjacent intervals per day
merged_intervals AS (
SELECT
space_id,
day,
interval_start,
interval_end
FROM (
SELECT
space_id,
day,
interval_start,
interval_end,
LAG(interval_end) OVER (PARTITION BY space_id, day ORDER BY interval_start) AS prev_end
FROM generated_daily_intervals
) sub
WHERE prev_end IS NULL OR interval_start > prev_end
),
-- Step 6: Sum up total missing seconds (device reported "none") per day
missing_seconds_per_day AS (
SELECT
space_id,
day AS missing_date,
SUM(EXTRACT(EPOCH FROM (interval_end - interval_start))) AS total_missing_seconds
FROM merged_intervals
GROUP BY space_id, day
),
-- Step 7: Calculate total occupied time per day (86400 - missing)
occupied_seconds_per_day AS (
SELECT
space_id,
missing_date as event_date,
86400 - total_missing_seconds AS total_occupied_seconds,
(86400 - total_missing_seconds)/86400*100 as occupancy_percentage
FROM missing_seconds_per_day
)
-- Final Output
, final_data as (
SELECT occupied_seconds_per_day.space_id,
occupied_seconds_per_day.event_date,
occupied_seconds_per_day.occupancy_percentage
FROM occupied_seconds_per_day
join params p on true
and p.space_id = occupied_seconds_per_day.space_id
and p.event_date = occupied_seconds_per_day.event_date
ORDER BY 1,2
)
INSERT INTO public."space-daily-occupancy-duration" (
space_uuid,
event_date,
occupancy_percentage
)
select space_id,
event_date,
occupancy_percentage
FROM final_data
ON CONFLICT (space_uuid, event_date) DO UPDATE
SET
occupancy_percentage = EXCLUDED.occupancy_percentage;