chore(scripts): remove one-off scripts nothing runs

Nothing in package.json, the workflows, the Dockerfile, the docs or the
other scripts named these: the bench result dumps of v1.44 and v1.45
that no document cites, the version-pinned release checks, the v1.42
correlation dry run, the read-only diagnostics and their cleanup and
conversion companions for defects fixed long ago, the one-off locale
builder from v1.4.25, and the four June seeders for the demo account.

Kept: the two bench results the benchmarks doc cites, the Google Health
sleep repair (the duplicate-night issue is still open), the demo
migration its password guard reads, the column-reader sweep its test
imports, and the message-bundle tools. The scripts README now lists the
kept tools that it did not name before and drops a reference to a file
that does not exist.

scripts/seed-demo-scores-1y.sql

@@ -1,153 +0,0 @@
--- HealthLog demo computed-wellness-score seeder for apps01 (1 year).
---
--- WHAT THIS DOES
---   Seeds the three PERSISTED nightly wellness scores for the demo account so
---   all of the dashboard's "Deine Gesundheitswerte" rings render with a full
---   year of history. These three are normally written by the nightly score
---   crons (src/lib/jobs/{recovery,stress,strain}-score.ts) as COMPUTED
---   Measurement rows; the demo never had them computed, so only the two
---   compute-on-read composites (READINESS + SLEEP_SCORE — derived live from the
---   demo's RHR/HRV/sleep/mood, NOT stored) were showing.
---
---     channel         type            external_id          unit     value
---     Recovery        RECOVERY_SCORE  recovery:YYYY-MM-DD   score    0..100 (55-90)
---     Strain          STRAIN_SCORE    strain:YYYY-MM-DD     score    0..100 (20-75)
---     Stress          STRESS_SCORE    stress:YYYY-MM-DD     score    0..100 (25-65)
---
---   READINESS and SLEEP_SCORE are NOT seeded here: neither exists in the
---   measurement_type enum (verified live) — both are recomputed on read from
---   the underlying signals the demo already carries, so they already render and
---   a stored row would be ignored. Seeding them would be dead data.
---
---   Row shape mirrors src/lib/insights/score-row.ts::upsertScoreRow exactly:
---   source = COMPUTED, unit = 'score', measured_at = noon UTC on the scored day,
---   external_id = '<prefix>:YYYY-MM-DD', sleep_stage / device_type /
---   external_source_version / deleted_at all NULL.
---
---   Coverage: one row per (channel, UTC day) for the last 365 days (offsets
---   1..365 — offset 0 is "today", which the nightly cron scores as the PREVIOUS
---   day, so the freshest persisted day is yesterday; this matches the job and
---   keeps every row strictly measured_at <= NOW()). 365 days x 3 channels =
---   1,095 rows on a clean apply.
---
--- DETERMINISM
---   Values + ids are hash-derived from the day stamp (hashtextextended /
---   md5 — NO random()), so a re-run is byte-stable. Idempotent re-runs are
---   additionally guarded by ON CONFLICT DO NOTHING on the live unique index
---   (user_id, type, source, external_id) — the exact key the cron upserts on.
---
--- SCOPE + SAFETY
---   - Demo-user-scoped: EVERY statement hardcodes the demo user id.
---   - Idempotent: ON CONFLICT DO NOTHING; re-running adds nothing.
---   - No DDL (no CREATE/ALTER/DROP/TRUNCATE), no other-user writes, no
---     table-wide DELETE/UPDATE, no future-dated rows (measured_at <= NOW()).
---
--- Run:  ssh apps-01 'docker exec -i <db-container> psql -U healthlog -d healthlog' < scripts/seed-demo-scores-1y.sql
-
-\set uid 'usr_demo_cf31025295714ece8d91f5af13afd76d'
-
-BEGIN;
-
--- Refuse to run if the demo user does not exist.
-DO $$
-BEGIN
-  IF NOT EXISTS (SELECT 1 FROM users WHERE id = 'usr_demo_cf31025295714ece8d91f5af13afd76d') THEN
-    RAISE EXCEPTION 'seed-demo-scores-1y: demo user not found';
-  END IF;
-END $$;
-
--- ── The three persisted score channels, one row per (channel, day) ─────────────
--- offsets 1..365 (the scored day is the day that just ended; offset 0 = today is
--- never persisted by the cron). day_key is the UTC calendar day; measured_at is
--- noon UTC on it, mirroring scoreMeasuredAt(). Deterministic values:
---   - week phase  : a gentle 7-day sinusoid keyed to the day-of-year (weekly
---                   rhythm — lighter mid-week, heavier toward the weekend).
---   - noise       : per-(channel,day) hash in [0,1), no random().
---   - recovery    : 55..90, dips after a "hard" (high-strain) day.
---   - strain      : 20..75, weekend / mid-week training spikes (~25% of days).
---   - stress      : 25..65, inversely coupled to recovery (recovery up → stress
---                   down) so the two rings tell a coherent story.
-WITH days AS (
-  SELECT
-    d,
-    (NOW() AT TIME ZONE 'UTC')::date - d AS day_key
-  FROM generate_series(1, 365) AS d
-),
-calc AS (
-  SELECT
-    d,
-    day_key,
-    (day_key + 12)::timestamp AS measured_at,  -- noon UTC on the scored day
-    -- weekly rhythm in [-1, 1] from ISO day-of-week (Mon=1..Sun=7)
-    sin(2 * pi() * (extract(isodow FROM day_key)::numeric - 1) / 7.0) AS week_phase,
-    -- deterministic per-day "is this a training day" flag (~25%)
-    ( (hashtextextended('score-train-' || day_key::text, 0) & 2147483647)::numeric / 2147483647.0 ) AS train_r,
-    -- independent deterministic noise streams per channel, all in [0,1)
-    ( (hashtextextended('score-rec-'    || day_key::text, 0) & 2147483647)::numeric / 2147483647.0 ) AS rec_r,
-    ( (hashtextextended('score-str-'    || day_key::text, 0) & 2147483647)::numeric / 2147483647.0 ) AS str_r,
-    ( (hashtextextended('score-stress-' || day_key::text, 0) & 2147483647)::numeric / 2147483647.0 ) AS stress_r
-  FROM days
-),
-vals AS (
-  SELECT
-    d, day_key, measured_at, train_r,
-    -- STRAIN 20..75: base + weekly rhythm + a spike on training days.
-    LEAST(75, GREATEST(20, round(
-      40 + week_phase * 8
-         + (CASE WHEN train_r < 0.25 THEN 22 ELSE 0 END)
-         + (str_r - 0.5) * 14
-    )))::int AS strain,
-    -- RECOVERY 55..90: base + weekly rhythm, suppressed the day after a hard day.
-    LEAST(90, GREATEST(55, round(
-      74 + week_phase * 6
-         - (CASE WHEN train_r < 0.25 THEN 7 ELSE 0 END)
-         + (rec_r - 0.5) * 16
-    )))::int AS recovery
-  FROM calc
-),
-final AS (
-  SELECT
-    v.d, v.day_key, v.measured_at, v.strain, v.recovery,
-    -- STRESS 25..65: inverse to recovery (high recovery → low stress) + noise.
-    LEAST(65, GREATEST(25, round(
-      90 - v.recovery * 0.5
-         + (c.stress_r - 0.5) * 14
-    )))::int AS stress
-  FROM vals v JOIN calc c USING (d)
-),
-rows AS (
-  SELECT day_key, measured_at, type, ext_prefix, value FROM final,
-  LATERAL (VALUES
-    ('RECOVERY_SCORE', 'recovery:', recovery),
-    ('STRAIN_SCORE',   'strain:',   strain),
-    ('STRESS_SCORE',   'stress:',   stress)
-  ) AS ch(type, ext_prefix, value)
-)
-INSERT INTO measurements (id, user_id, type, value, unit, source, measured_at, external_id, created_at, updated_at)
-SELECT
-  -- deterministic id from the per-row external_id → byte-stable re-runs.
-  'm_score_' || md5(ext_prefix || to_char(day_key, 'YYYY-MM-DD')),
-  'usr_demo_cf31025295714ece8d91f5af13afd76d',
-  type::measurement_type,
-  value::float8,
-  'score',
-  'COMPUTED'::measurement_source,
-  measured_at,
-  ext_prefix || to_char(day_key, 'YYYY-MM-DD'),
-  measured_at,
-  measured_at
-FROM rows
-WHERE measured_at <= NOW()
-ON CONFLICT (user_id, type, source, external_id) DO NOTHING;
-
-COMMIT;
-
--- ── Verification (demo-user-scoped, all five score channels) ───────────────────
-\echo === post-apply score coverage (demo user) ===
-SELECT type, count(*) AS rows, min(measured_at)::date AS oldest, max(measured_at)::date AS newest
-FROM measurements
-WHERE user_id = :'uid'
-  AND type IN ('RECOVERY_SCORE', 'STRAIN_SCORE', 'STRESS_SCORE')
-GROUP BY type
-ORDER BY type;
-\echo (READINESS + SLEEP_SCORE are compute-on-read composites — not stored, render from underlying signals.)