Mirrors/unleash.unleash
1
0
Fork 0
mirror of https://github.com/Unleash/unleash.git synced 2025-08-27 13:49:10 +02:00
Code Issues Projects Releases Wiki Activity

fix: backfilling lifecycle trends based on new logic (#10476)

Browse Source 
Previously lifecycle trends were taking one snapshot per flag, now they
take one per flag per stage it moved.
This commit is contained in:
Jaanus Sellin 2025-08-07 15:05:04 +03:00 committed by GitHub
parent aecde415c3
commit 75df390d0b
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 91 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

91
src/migrations/20250805152422-backfill-lifecycle-trends.js Normal file
View File

@ -0,0 +1,91 @@
exports.up = function (db, cb) {
db.runSql(
`
DELETE FROM lifecycle_trends;
WITH week_ranges AS (
SELECT
to_char(week_start, 'YYYY') || '-' || lpad(extract(week from week_start)::int::text, 2, '0') AS id,
week_start,
week_start + INTERVAL '7 days' AS week_end,
week_start + INTERVAL '7 days' + INTERVAL '1 hour' AS created_at
FROM (
SELECT date_trunc('day', now() AT TIME ZONE 'UTC') AS today
) AS t
CROSS JOIN LATERAL (
SELECT generate_series(
t.today - ((extract(dow from t.today)::int + 7) % 7) * INTERVAL '1 day' - INTERVAL '52 weeks',
t.today - ((extract(dow from t.today)::int + 7) % 7) * INTERVAL '1 day' - INTERVAL '1 week',
INTERVAL '1 week'
) AS week_start
) AS weeks
),
feature_data AS (
SELECT
fl.created_at AT TIME ZONE 'UTC' AS lifecycle_time,
fl.stage,
f.type AS flag_type,
f.project,
fl.feature
FROM feature_lifecycles fl
JOIN features f ON f.name = fl.feature
JOIN projects p ON f.project = p.id
),
latest_stage_on_week AS (
SELECT DISTINCT ON (fl.feature, wr.id)
wr.id AS week_id,
fl.feature,
fl.stage AS stage_on_week,
fl.created_at
FROM week_ranges wr
JOIN feature_lifecycles fl ON fl.created_at <= wr.week_end
ORDER BY wr.id, fl.feature, fl.created_at DESC
),
weekly_counts AS (
SELECT
wr.id,
wr.created_at,
fd.stage,
fd.flag_type,
fd.project,
COUNT(DISTINCT CASE WHEN fd.lifecycle_time >= wr.week_start AND fd.lifecycle_time < wr.week_end THEN fd.feature END) AS new_flags_this_week,
COUNT(DISTINCT CASE WHEN fd.lifecycle_time < wr.week_start
AND lsbw.feature IS NOT NULL
AND lsbw.stage_on_week = fd.stage
THEN fd.feature
END) AS flags_older_than_week
FROM week_ranges wr
JOIN feature_data fd ON fd.lifecycle_time < wr.week_end
LEFT JOIN latest_stage_on_week lsbw ON lsbw.feature = fd.feature AND lsbw.week_id = wr.id
GROUP BY wr.id, wr.created_at, fd.stage, fd.flag_type, fd.project
)
INSERT INTO lifecycle_trends (
id,
stage,
flag_type,
project,
flags_older_than_week,
new_flags_this_week,
created_at
)
SELECT
id,
stage,
flag_type,
project,
flags_older_than_week,
new_flags_this_week,
created_at
FROM weekly_counts
ORDER BY id, project, flag_type, stage;
`,
cb,
);
};
exports.down = function (db, cb) {
db.runSql(
``,
cb,
);
};