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HealthLog/scripts/seed-demo-v15.sql
T
Marc-André Bombeck 3ba5efb025 chore(scripts): drop private host names from the demo tooling 
The demo migration was named after the host it targets, and its
README, the v1.5 demo seed and a contributing note named the
maintainer's servers, a container id, an app id and two account ids.
The script already takes every host, container and account from its
environment, so the prose now says source and target and lists the
variables instead. It is renamed to migrate-demo-account.sh; the
password guard follows the new name.
2026-11-11 22:27:22 +01:00

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-- v1.5.0 demo seed — sliding-window, NOW()-anchored, full iOS+Withings story.
--
-- The pre-v1.5 demo seed shipped only WEIGHT / BLOOD_PRESSURE / PULSE /
-- BODY_FAT / SLEEP / STEPS, and the demo DB had drifted to
-- a static snapshot whose last reading was ten days old. For the iOS
-- public-beta cut we need a fresh picture: data through today, every
-- type the dashboard tiles can render, a source mix that shows the
-- Withings + Apple Health story, stats:* externalIds on the cumulative
-- HK metrics that showcase the v1.5.0 upsert fix (#213), and a weekly
-- medication so the v1.5.0 compliance fix (#214) renders 100% instead
-- of the legacy 13%.
--
-- Re-runnable: every section deletes the demo user's rows before
-- re-inserting, so the script is idempotent and re-anchors to whatever
-- NOW() is at execution time. measurement_rollups + the per-tier
-- compliance / mood rollups are truncated so the next read-path probe
-- falls back to live SQL (the slim rollup-tier reader) and the boot
-- backfill repopulates on the next entrypoint sweep.
--
-- Usage on the demo host:
-- docker exec -i <demo-db-container> \
-- psql -U healthlog -d healthlog < seed-demo-v15.sql
BEGIN;
-- Resolve the demo user once and reuse via session-local table.
CREATE TEMP TABLE _demo AS
SELECT id AS user_id FROM users WHERE username = 'demo' LIMIT 1;
-- Bail loudly if the user is missing rather than silently no-op.
DO $$
BEGIN
IF NOT EXISTS (SELECT 1 FROM _demo) THEN
RAISE EXCEPTION 'seed-demo-v15: no user with username=demo — run scripts/seed-demo.ts first to create the baseline account.';
END IF;
END $$;
-- ── Wipe per-user state ───────────────────────────────────────────
DELETE FROM medication_intake_events WHERE user_id IN (SELECT user_id FROM _demo);
DELETE FROM medication_schedules WHERE medication_id IN (
SELECT id FROM medications WHERE user_id IN (SELECT user_id FROM _demo)
);
DELETE FROM medications WHERE user_id IN (SELECT user_id FROM _demo);
DELETE FROM mood_entry_rollups WHERE user_id IN (SELECT user_id FROM _demo);
DELETE FROM mood_entries WHERE user_id IN (SELECT user_id FROM _demo);
DELETE FROM measurement_rollups WHERE user_id IN (SELECT user_id FROM _demo);
DELETE FROM measurements WHERE user_id IN (SELECT user_id FROM _demo);
DELETE FROM user_achievements WHERE user_id IN (SELECT user_id FROM _demo);
-- ── Measurements ──────────────────────────────────────────────────
-- 90-day sliding window. Each generate_series produces one row per
-- day backwards from NOW(); jitter via random() gives realistic
-- variation. Source mix is intentional:
-- WEIGHT / BP / PULSE — MANUAL + WITHINGS (alternating days)
-- BODY_FAT + body comp — WITHINGS only (Body+ scale exclusive)
-- SLEEP / STEPS / energy — APPLE_HEALTH (iOS HealthKit) with stats:*
-- externalIds on cumulative metrics
-- OXYGEN_SATURATION — WITHINGS (ScanWatch)
-- BLOOD_GLUCOSE — MANUAL (fingerstick)
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO measurements (
id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at
)
SELECT
'm_w_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'WEIGHT'::measurement_type,
-- 82.0 kg trending down to 79.0 across 90 days + small daily jitter
round((82.0 - (90 - d) * 0.033 + (random() - 0.5) * 0.6)::numeric, 1),
'kg',
CASE WHEN d % 2 = 0 THEN 'WITHINGS'::measurement_source ELSE 'MANUAL'::measurement_source END,
NOW() - (d || ' days')::interval - (random() * 4 || ' hours')::interval,
CASE WHEN d % 2 = 0 THEN 'withings-weight-' || (NOW() - (d || ' days')::interval)::date ELSE NULL END,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_sys_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'BLOOD_PRESSURE_SYS'::measurement_type,
round((128.0 - (90 - d) * 0.05 + (random() - 0.5) * 6)::numeric, 0),
'mmHg',
CASE WHEN d % 3 = 0 THEN 'WITHINGS'::measurement_source ELSE 'MANUAL'::measurement_source END,
NOW() - (d || ' days')::interval - INTERVAL '8 hours',
CASE WHEN d % 3 = 0 THEN 'withings-bp-sys-' || (NOW() - (d || ' days')::interval)::date ELSE NULL END,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_dia_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'BLOOD_PRESSURE_DIA'::measurement_type,
round((84.0 - (90 - d) * 0.03 + (random() - 0.5) * 4)::numeric, 0),
'mmHg',
CASE WHEN d % 3 = 0 THEN 'WITHINGS'::measurement_source ELSE 'MANUAL'::measurement_source END,
NOW() - (d || ' days')::interval - INTERVAL '8 hours',
CASE WHEN d % 3 = 0 THEN 'withings-bp-dia-' || (NOW() - (d || ' days')::interval)::date ELSE NULL END,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_pulse_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'PULSE'::measurement_type,
round((70.0 - (90 - d) * 0.04 + (random() - 0.5) * 5)::numeric, 0),
'bpm',
CASE WHEN d % 3 = 0 THEN 'WITHINGS'::measurement_source ELSE 'MANUAL'::measurement_source END,
NOW() - (d || ' days')::interval - INTERVAL '8 hours',
NULL,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
-- BODY_FAT — Withings Body+ exclusive, every other day
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89, 2) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_bf_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'BODY_FAT'::measurement_type,
round((24.0 - (90 - d) * 0.022 + (random() - 0.5) * 0.4)::numeric, 1),
'%',
'WITHINGS'::measurement_source,
NOW() - (d || ' days')::interval - INTERVAL '7 hours 30 minutes',
'withings-bf-' || (NOW() - (d || ' days')::interval)::date,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
-- SLEEP_DURATION — APPLE_HEALTH, stored in minutes (v1.4.23 unit shift),
-- per-night ≈ 6.5–8 h. Daily.
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_sleep_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'SLEEP_DURATION'::measurement_type,
round((420 + (90 - d) * 0.5 + (random() - 0.5) * 90)::numeric, 0),
'minutes',
'APPLE_HEALTH'::measurement_source,
NOW() - (d || ' days')::interval - INTERVAL '21 hours',
'apple-sleep-' || (NOW() - (d || ' days')::interval)::date,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
-- ACTIVITY_STEPS — APPLE_HEALTH stats:* externalId (showcases v1.5.0
-- upsert: per-day cumulative). Daily, drifts 5000 → 9000.
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_steps_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'ACTIVITY_STEPS'::measurement_type,
round((5200 + (90 - d) * 40 + (random() - 0.5) * 2500)::numeric, 0),
'count',
'APPLE_HEALTH'::measurement_source,
NOW() - (d || ' days')::interval - INTERVAL '20 hours',
'stats:HKQuantityTypeIdentifierStepCount:' || (NOW() - (d || ' days')::interval)::date,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
-- ACTIVE_ENERGY_BURNED — APPLE_HEALTH stats:*, kcal, daily.
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_aeb_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'ACTIVE_ENERGY_BURNED'::measurement_type,
round((380 + (90 - d) * 1.5 + (random() - 0.5) * 180)::numeric, 0),
'kcal',
'APPLE_HEALTH'::measurement_source,
NOW() - (d || ' days')::interval - INTERVAL '20 hours',
'stats:HKQuantityTypeIdentifierActiveEnergyBurned:' || (NOW() - (d || ' days')::interval)::date,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
-- WALKING_RUNNING_DISTANCE — APPLE_HEALTH stats:*, metres, daily.
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_dist_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'WALKING_RUNNING_DISTANCE'::measurement_type,
round((3800 + (90 - d) * 30 + (random() - 0.5) * 1800)::numeric, 0),
'm',
'APPLE_HEALTH'::measurement_source,
NOW() - (d || ' days')::interval - INTERVAL '20 hours',
'stats:HKQuantityTypeIdentifierDistanceWalkingRunning:' || (NOW() - (d || ' days')::interval)::date,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
-- FLIGHTS_CLIMBED — APPLE_HEALTH stats:*, daily (0–25 range).
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 59) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_flt_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'FLIGHTS_CLIMBED'::measurement_type,
round((6 + (random() * 14))::numeric, 0),
'count',
'APPLE_HEALTH'::measurement_source,
NOW() - (d || ' days')::interval - INTERVAL '20 hours',
'stats:HKQuantityTypeIdentifierFlightsClimbed:' || (NOW() - (d || ' days')::interval)::date,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
-- OXYGEN_SATURATION — Withings ScanWatch, every 2 days, percent.
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89, 2) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_spo2_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'OXYGEN_SATURATION'::measurement_type,
round((97 + (random() * 2.5))::numeric, 1),
'%',
'WITHINGS'::measurement_source,
NOW() - (d || ' days')::interval - INTERVAL '6 hours',
'withings-spo2-' || (NOW() - (d || ' days')::interval)::date,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
-- BLOOD_GLUCOSE — MANUAL fingerstick, every other day, mg/dL (canonical).
-- Mix of fasting + postprandial; the row-level glucose_context column
-- is required (CHECK constraint `measurements_glucose_context_requires_type`).
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 59, 2) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, glucose_context, created_at, updated_at)
SELECT
'm_bg_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'BLOOD_GLUCOSE'::measurement_type,
CASE
WHEN d % 4 = 0 THEN round((96 + random() * 14)::numeric, 0) -- fasting
ELSE round((128 + random() * 22)::numeric, 0) -- postprandial
END,
'mg/dL',
'MANUAL'::measurement_source,
NOW() - (d || ' days')::interval - INTERVAL '7 hours',
NULL,
CASE WHEN d % 4 = 0 THEN 'FASTING'::glucose_context ELSE 'POSTPRANDIAL'::glucose_context END,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
-- TOTAL_BODY_WATER — Withings Body+, every 3 days, kg.
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89, 3) AS d)
INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
SELECT
'm_tbw_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'TOTAL_BODY_WATER'::measurement_type,
round((48 + (random() - 0.5) * 2)::numeric, 1),
'kg',
'WITHINGS'::measurement_source,
NOW() - (d || ' days')::interval - INTERVAL '7 hours 30 minutes',
'withings-tbw-' || (NOW() - (d || ' days')::interval)::date,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM days;
-- ── Medications ──────────────────────────────────────────────────
-- Four meds covering the full cadence matrix: daily-morning,
-- daily-evening, daily-with-narrow-window, and weekly-on-Monday
-- (showcases v1.5.0 daysOfWeek compliance fix #214).
-- 1. Ramipril 5 mg — daily morning, 96% compliance
WITH demo AS (SELECT user_id FROM _demo)
INSERT INTO medications (id, user_id, name, dose, active, notifications_enabled, created_at, updated_at)
VALUES (
'demo_med_ramipril', (SELECT user_id FROM demo), 'Ramipril', '5 mg',
true, true, NOW() - INTERVAL '120 days', NOW() - INTERVAL '120 days'
);
INSERT INTO medication_schedules (id, medication_id, window_start, window_end, label)
VALUES ('demo_sched_ramipril', 'demo_med_ramipril', '08:00', '10:00', 'Morgens');
-- 2. Vitamin D3 — daily morning, 92% compliance
WITH demo AS (SELECT user_id FROM _demo)
INSERT INTO medications (id, user_id, name, dose, active, notifications_enabled, created_at, updated_at)
VALUES (
'demo_med_vitd', (SELECT user_id FROM demo), 'Vitamin D3', '2000 IE',
true, true, NOW() - INTERVAL '95 days', NOW() - INTERVAL '95 days'
);
INSERT INTO medication_schedules (id, medication_id, window_start, window_end, label)
VALUES ('demo_sched_vitd', 'demo_med_vitd', '08:00', '10:00', 'Morgens');
-- 3. Magnesium 400 mg — daily evening, 88% compliance
WITH demo AS (SELECT user_id FROM _demo)
INSERT INTO medications (id, user_id, name, dose, active, notifications_enabled, created_at, updated_at)
VALUES (
'demo_med_mg', (SELECT user_id FROM demo), 'Magnesium', '400 mg',
true, true, NOW() - INTERVAL '70 days', NOW() - INTERVAL '70 days'
);
INSERT INTO medication_schedules (id, medication_id, window_start, window_end, label)
VALUES ('demo_sched_mg', 'demo_med_mg', '20:00', '22:00', 'Abends');
-- 4. Ozempic 0.5 mg — WEEKLY Mondays (daysOfWeek="1"), 100% compliance.
-- Pre-v1.5.0 the compliance calculation reported ~13% for this
-- cadence; the #214 fix now honours daysOfWeek so this med shows
-- 100% on the per-medication card, the Health Score pillar, and
-- the AI Coach prompt context.
WITH demo AS (SELECT user_id FROM _demo)
INSERT INTO medications (id, user_id, name, dose, treatment_class, doses_per_unit, active, notifications_enabled, created_at, updated_at)
VALUES (
'demo_med_ozempic', (SELECT user_id FROM demo), 'Ozempic', '0.5 mg',
'GLP1', 4, true, true, NOW() - INTERVAL '85 days', NOW() - INTERVAL '85 days'
);
INSERT INTO medication_schedules (id, medication_id, window_start, window_end, label, days_of_week)
VALUES ('demo_sched_ozempic', 'demo_med_ozempic', '19:00', '21:00', 'Montagabend', '1');
-- ── Medication intake events ─────────────────────────────────────
-- Generated against `medications.created_at + N days` so the user's
-- compliance window starts from when they began the med, not an
-- absolute date.
-- Ramipril: 90 days, 96% taken
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO medication_intake_events (id, user_id, medication_id, scheduled_for, taken_at, skipped, source, created_at)
SELECT
'ie_rmp_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'demo_med_ramipril',
date_trunc('day', NOW() - (d || ' days')::interval) + INTERVAL '8 hours',
CASE WHEN random() < 0.96
THEN date_trunc('day', NOW() - (d || ' days')::interval) + INTERVAL '8 hours' + (random() * 45 || ' minutes')::interval
ELSE NULL END,
CASE WHEN random() < 0.96 THEN false ELSE true END,
'WEB',
NOW() - (d || ' days')::interval
FROM days;
-- Vitamin D3: 90 days, 92% taken
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO medication_intake_events (id, user_id, medication_id, scheduled_for, taken_at, skipped, source, created_at)
SELECT
'ie_vitd_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'demo_med_vitd',
date_trunc('day', NOW() - (d || ' days')::interval) + INTERVAL '8 hours 30 minutes',
CASE WHEN random() < 0.92
THEN date_trunc('day', NOW() - (d || ' days')::interval) + INTERVAL '8 hours 30 minutes' + (random() * 50 || ' minutes')::interval
ELSE NULL END,
CASE WHEN random() < 0.92 THEN false ELSE true END,
'WEB',
NOW() - (d || ' days')::interval
FROM days;
-- Magnesium: last 60 days only (med started 70 days ago, ramp-up), 88% taken
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 59) AS d)
INSERT INTO medication_intake_events (id, user_id, medication_id, scheduled_for, taken_at, skipped, source, created_at)
SELECT
'ie_mg_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'demo_med_mg',
date_trunc('day', NOW() - (d || ' days')::interval) + INTERVAL '20 hours',
CASE WHEN random() < 0.88
THEN date_trunc('day', NOW() - (d || ' days')::interval) + INTERVAL '20 hours' + (random() * 60 || ' minutes')::interval
ELSE NULL END,
CASE WHEN random() < 0.88 THEN false ELSE true END,
'WEB',
NOW() - (d || ' days')::interval
FROM days;
-- Ozempic: every Monday in the last 84 days (≈12 Mondays), all taken
WITH demo AS (SELECT user_id FROM _demo),
mondays AS (
SELECT generate_series(
date_trunc('week', NOW())::date - 84,
date_trunc('week', NOW())::date,
INTERVAL '7 days'
)::date AS day
)
INSERT INTO medication_intake_events (id, user_id, medication_id, scheduled_for, taken_at, skipped, source, created_at)
SELECT
'ie_oz_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
'demo_med_ozempic',
day + INTERVAL '19 hours 30 minutes',
day + INTERVAL '19 hours 30 minutes' + (random() * 60 || ' minutes')::interval,
false,
'WEB',
day::timestamp
FROM mondays;
-- ── Mood entries ─────────────────────────────────────────────────
-- 90 days, ~95% logged; trends from OKAY/GUT toward SUPER_GUT.
WITH demo AS (SELECT user_id FROM _demo),
days AS (SELECT generate_series(0, 89) AS d)
INSERT INTO mood_entries (
id, user_id, date, mood, score, tags, note, source, mood_logged_at, tz, synced_at, created_at, updated_at
)
SELECT
'mo_' || replace(gen_random_uuid()::text, '-', ''),
(SELECT user_id FROM demo),
(NOW() - (d || ' days')::interval)::date::text,
CASE
WHEN sc = 5 THEN 'SUPER_GUT'
WHEN sc = 4 THEN 'GUT'
WHEN sc = 3 THEN 'OKAY'
WHEN sc = 2 THEN 'SCHLECHT'
ELSE 'LAUSIG'
END,
sc,
CASE sc
WHEN 5 THEN '["productive","exercise","well-rested"]'
WHEN 4 THEN '["focused","social","creative"]'
WHEN 3 THEN '["okay","quiet"]'
WHEN 2 THEN '["tired","stressed"]'
ELSE '["exhausted","pain"]'
END,
NULL,
'WEB',
date_trunc('day', NOW() - (d || ' days')::interval) + INTERVAL '21 hours' + (random() * 50 || ' minutes')::interval,
'Europe/Berlin',
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval,
NOW() - (d || ' days')::interval
FROM (
SELECT d,
-- Score trends upward from ~3 to ~4.5 over 90 days + noise.
LEAST(5, GREATEST(1,
round((3.0 + (90 - d) * 0.018 + (random() - 0.5) * 1.2))::int
)) AS sc
FROM days
WHERE random() > 0.05 -- ~5% missed days
) ranked;
COMMIT;
-- ── Summary report ───────────────────────────────────────────────
SELECT 'measurements_total' AS scope, COUNT(*)::text AS n FROM measurements WHERE user_id IN (SELECT id FROM users WHERE username = 'demo')
UNION ALL
SELECT 'measurements_by_type', COUNT(DISTINCT type)::text FROM measurements WHERE user_id IN (SELECT id FROM users WHERE username = 'demo')
UNION ALL
SELECT 'mood_entries', COUNT(*)::text FROM mood_entries WHERE user_id IN (SELECT id FROM users WHERE username = 'demo')
UNION ALL
SELECT 'medications', COUNT(*)::text FROM medications WHERE user_id IN (SELECT id FROM users WHERE username = 'demo')
UNION ALL
SELECT 'intake_events', COUNT(*)::text FROM medication_intake_events WHERE user_id IN (SELECT id FROM users WHERE username = 'demo')
UNION ALL
SELECT 'measurement_rollups', COUNT(*)::text FROM measurement_rollups WHERE user_id IN (SELECT id FROM users WHERE username = 'demo');
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