Revert "DATA-date-param-moved"

This commit is contained in:
Dona Maria Absi
2025-05-08 13:08:41 +03:00
committed by GitHub
parent ab99bb5afc
commit d3a560d18f
31 changed files with 43 additions and 848 deletions
@@ -1,20 +0,0 @@
WITH params AS (
SELECT
TO_DATE(NULLIF($1, ''), 'MM-YYYY') AS month,
string_to_array(NULLIF($2, ''), ',') AS device_ids
)
SELECT
A.date,
SUM(A.energy_consumed_kW::numeric) AS total_energy_consumed_KW,
SUM(A.energy_consumed_A::numeric) AS total_energy_consumed_A,
SUM(A.energy_consumed_B::numeric) AS total_energy_consumed_B,
SUM(A.energy_consumed_C::numeric) AS total_energy_consumed_C
FROM public."power-clamp-energy-consumed-daily" AS A
JOIN public.device AS B
ON A.device_uuid::TEXT = B."uuid"::TEXT
JOIN params P ON TRUE
WHERE B."uuid"::TEXT = ANY(P.device_ids)
AND (P.month IS NULL OR date_trunc('month', A.date)= P.month)
GROUP BY A.date
ORDER BY A.date;
@@ -1,21 +0,0 @@
WITH params AS (
SELECT
TO_DATE(NULLIF($1, ''), 'DD-MM-YYYY') AS start_date,
TO_DATE(NULLIF($2, ''), 'DD-MM-YYYY') AS end_date,
string_to_array(NULLIF($3, ''), ',') AS device_ids
)
SELECT TO_CHAR(A.date, 'MM-YYYY') AS month,
SUM(A.energy_consumed_kW::numeric) AS total_energy_consumed_KW,
SUM(A.energy_consumed_A::numeric) AS total_energy_consumed_A,
SUM(A.energy_consumed_B::numeric) AS total_energy_consumed_B,
SUM(A.energy_consumed_C::numeric) AS total_energy_consumed_C
FROM public."power-clamp-energy-consumed-daily" AS A
JOIN public.device AS B
ON A.device_uuid::TEXT = B."uuid"::TEXT
JOIN params P ON TRUE
WHERE B."uuid"::TEXT = ANY(P.device_ids)
AND (P.start_date IS NULL OR A.date >= P.start_date)
AND (P.end_date IS NULL OR A.date <= P.end_date)
GROUP BY 1
@@ -1,115 +0,0 @@
WITH params AS (
SELECT
TO_DATE(NULLIF($2, ''), 'YYYY-MM-DD') AS event_date,
$4::text AS device_id
),
device_logs AS (
SELECT
device.uuid AS device_id,
device.created_at,
device.device_tuya_uuid,
device.space_device_uuid AS space_id,
"device-status-log".event_id,
"device-status-log".event_time::timestamp,
"device-status-log".code,
"device-status-log".value,
"device-status-log".log,
LAG("device-status-log".event_time::timestamp)
OVER (PARTITION BY device.uuid
ORDER BY "device-status-log".event_time) AS prev_timestamp,
LAG("device-status-log".value)
OVER (PARTITION BY device.uuid
ORDER BY "device-status-log".event_time) AS prev_value
FROM device
LEFT JOIN "device-status-log"
ON device.uuid = "device-status-log".device_id
LEFT JOIN product
ON product.uuid = device.product_device_uuid
WHERE product.cat_name = 'hps'
AND "device-status-log".code = 'presence_state'
AND device.uuid::text = P.device_id
),
presence_detection AS (
SELECT *,
CASE
WHEN value = 'motion' AND prev_value = 'none' THEN 1 ELSE 0
END AS motion_detected,
CASE
WHEN value = 'presence' AND prev_value = 'none' THEN 1 ELSE 0
END AS presence_detected
FROM device_logs
),
presence_detection_summary AS (
SELECT
pd.device_id,
d.subspace_id,
pd.space_id,
pd.event_time::date AS event_date,
EXTRACT(HOUR FROM pd.event_time)::int AS event_hour,
SUM(motion_detected) AS count_motion_detected,
SUM(presence_detected) AS count_presence_detected,
SUM(motion_detected + presence_detected) AS count_total_presence_detected
FROM presence_detection pd
LEFT JOIN device d ON d.uuid = pd.device_id
JOIN params P ON TRUE
AND (P.event_date IS NULL OR pd.event_time::date = P.event_date)
GROUP BY 1, 2, 3, 4, 5
),
all_dates_and_hours AS (
SELECT device_id, subspace_id, space_id, event_date, event_hour
FROM (
SELECT DISTINCT device_id, subspace_id, space_id, event_date
FROM presence_detection_summary
) d
CROSS JOIN generate_series(0, 23) AS event_hour
),
table_final AS (
SELECT
adah.device_id,
adah.event_date,
COALESCE(pds.count_motion_detected, 0) AS count_motion_detected,
COALESCE(pds.count_presence_detected, 0) AS count_presence_detected,
COALESCE(pds.count_total_presence_detected, 0) AS count_total_presence_detected
FROM all_dates_and_hours adah
LEFT JOIN presence_detection_summary pds
ON pds.device_id = adah.device_id
AND pds.event_date = adah.event_date
AND pds.event_hour = adah.event_hour
),
daily_aggregates AS (
SELECT
device_id,
event_date,
SUM(count_motion_detected) AS count_motion_detected,
SUM(count_presence_detected) AS count_presence_detected,
SUM(count_total_presence_detected) AS count_total_presence_detected
FROM table_final
GROUP BY device_id, event_date
)
INSERT INTO public."presence-sensor-daily-detection" (
device_uuid,
event_date,
count_motion_detected,
count_presence_detected,
count_total_presence_detected
)
SELECT
device_id,
event_date,
count_motion_detected,
count_presence_detected,
count_total_presence_detected
FROM daily_aggregates
ON CONFLICT (device_uuid, event_date) DO UPDATE
SET
count_motion_detected = EXCLUDED.count_motion_detected,
count_presence_detected = EXCLUDED.count_presence_detected,
count_total_presence_detected = EXCLUDED.count_total_presence_detected;
@@ -1,19 +0,0 @@
-- will return the presence metrics for the days of the selected month
WITH params AS (
SELECT
TO_DATE(NULLIF($2, ''), 'YYYY-MM') AS month,
string_to_array(NULLIF($4, ''), ',') AS device_ids
)
SELECT
A.device_uuid,
A.event_date,
A.count_motion_detected,
A.count_presence_detected,
A.count_total_presence_detected
FROM public."presence-sensor-daily-detection" AS A
JOIN params P ON TRUE
WHERE A.device_uuid::text = ANY(P.device_ids)
AND (P.month IS NULL
OR date_trunc('month', A.event_date) = P.month
)
@@ -1,11 +0,0 @@
SELECT
B.space_device_uuid AS space_id,
A."date",
SUM(A.energy_consumed_kW::numeric) AS total_energy_consumed_KW,
SUM(A.energy_consumed_A::numeric) AS total_energy_consumed_A,
SUM(A.energy_consumed_B::numeric) AS total_energy_consumed_B,
SUM(A.energy_consumed_C::numeric) AS total_energy_consumed_C
FROM public."power-clamp-energy-consumed-daily" AS A -- I want to change the source table in the future.
JOIN public.device AS B
ON A.device_uuid::TEXT = B."uuid"::TEXT
GROUP BY 1, 2;
@@ -1,106 +0,0 @@
-- This model shows the number of times a presence was detected per hour, per day
WITH device_logs AS (
SELECT
device.uuid AS device_id,
device.created_at,
device.device_tuya_uuid,
device.space_device_uuid AS space_id,
"device-status-log".event_id,
"device-status-log".event_time::timestamp,
"device-status-log".code,
"device-status-log".value,
"device-status-log".log,
LAG("device-status-log".event_time::timestamp)
OVER (PARTITION BY device.uuid
ORDER BY "device-status-log".event_time) AS prev_timestamp,
LAG("device-status-log".value)
OVER (PARTITION BY device.uuid
ORDER BY "device-status-log".event_time) AS prev_value
FROM device
LEFT JOIN "device-status-log"
ON device.uuid = "device-status-log".device_id
LEFT JOIN product
ON product.uuid = device.product_device_uuid
WHERE product.cat_name = 'hps'
AND "device-status-log".code = 'presence_state'
),
presence_detection AS (
SELECT *,
CASE
WHEN value = 'motion' AND prev_value = 'none' THEN 1 ELSE 0
END AS motion_detected,
CASE
WHEN value = 'presence' AND prev_value = 'none' THEN 1 ELSE 0
END AS presence_detected
FROM device_logs
),
presence_detection_summary AS (
SELECT
pd.device_id,
d.subspace_id,
pd.space_id,
pd.event_time::date AS event_date,
EXTRACT(HOUR FROM pd.event_time)::int AS event_hour,
SUM(motion_detected) AS count_motion_detected,
SUM(presence_detected) AS count_presence_detected,
SUM(motion_detected + presence_detected) AS count_total_presence_detected
FROM presence_detection pd
LEFT JOIN device d ON d.uuid = pd.device_id
GROUP BY 1, 2, 3, 4, 5
),
all_dates_and_hours AS (
SELECT device_id, subspace_id, space_id, event_date, event_hour
FROM (
SELECT DISTINCT device_id, subspace_id, space_id, event_date
FROM presence_detection_summary
) d
CROSS JOIN generate_series(0, 23) AS event_hour
),
table_final AS (
SELECT
adah.device_id,
adah.event_date,
COALESCE(pds.count_motion_detected, 0) AS count_motion_detected,
COALESCE(pds.count_presence_detected, 0) AS count_presence_detected,
COALESCE(pds.count_total_presence_detected, 0) AS count_total_presence_detected
FROM all_dates_and_hours adah
LEFT JOIN presence_detection_summary pds
ON pds.device_id = adah.device_id
AND pds.event_date = adah.event_date
AND pds.event_hour = adah.event_hour
),
daily_aggregate AS (
SELECT
device_id,
event_date,
SUM(count_motion_detected) AS count_motion_detected,
SUM(count_presence_detected) AS count_presence_detected,
SUM(count_total_presence_detected) AS count_total_presence_detected
FROM table_final
GROUP BY device_id, event_date
)
INSERT INTO public."presence-sensor-daily-detection" (
device_uuid,
event_date,
count_motion_detected,
count_presence_detected,
count_total_presence_detected
)
SELECT
device_id,
event_date,
count_motion_detected,
count_presence_detected,
count_total_presence_detected
FROM daily_aggregate
ON CONFLICT (device_uuid, event_date) DO UPDATE
SET
count_motion_detected = EXCLUDED.count_motion_detected,
count_presence_detected = EXCLUDED.count_presence_detected,
count_total_presence_detected = EXCLUDED.count_total_presence_detected;