feat(workers): unify water + time worker tables into field_workers (cycle 10)
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The two per-domain worker tables (water_irrigators, time_tracking_workers)
both carried a pin_hash, a brand, a role, and almost-identical columns.
Migrating a Tuxedo worker from one app to the other meant a duplicate
PIN. Field and admin staff complained; ops got inconsistent identity
records per domain.

Unify into a single field_workers table. Cycle 10 migration
0097_field_workers.sql:
- creates field_workers (id, brand_id, name, pin_hash, role with CHECK
  IN ('worker','time_admin','irrigator','water_admin'),
  language_preference, phone, notes, active, last_used_at, …)
- adds brand-scoped RLS, brand index, active index
- nullable field_worker_id on downstream tables, backfilled via
  UPDATE … FROM, NULL count verified with RAISE EXCEPTION before
  SET NOT NULL
- drops the two old tables and renames FK columns
  (irrigator_id → field_worker_id, worker_id → field_worker_id)
- reissues the one-open-clock-in partial unique index against
  field_worker_id

Application surface:
- All actions/services now read/write fieldWorkers. Drizzle's enum
  literal infers tighter role types than the prior ad-hoc casts.
- The verify paths still filter to their respective domain roles so a
  water-only worker can't be matched against a time-tracking PIN.
- API surface preserved: action function names didn't change.
- Seed file updated so QA reseeds work post-deploy.

Verified:
- npx tsc --noEmit clean
- npx vitest: 218 pass; 29 failures are pre-existing on main
- npm run lint: exit 0 (no new violations from cycle 10)
- npm run build: exit 0
- /water and /tuxedo/time-clock both 200 on dev
- DB verified via direct query: 20 field_workers, 200 water entries
  with zero NULL field_worker_id, index rebuilt.

PR-reviewer: APPROVED.
This commit is contained in:
Nora
2026-07-03 20:27:11 -06:00
parent ce652ff5de
commit 16ad0955f2
16 changed files with 623 additions and 223 deletions
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-- ============================================================================
-- 0097_field_workers.sql
--
-- Cycle 10 — unify `water_irrigators` and `time_tracking_workers` into a
-- single `field_workers` table. One row per person, one `pin_hash`, one
-- role vocabulary. Permanent fix for the silent-desync class of bugs
-- (a worker changing their water PIN while their time PIN stays the same,
-- or vice versa) and unlocks future domains (harvest reports, equipment
-- logs) without yet another `*_workers` table.
--
-- Why one table:
-- - Today two tables store the same person twice with separate PIN
-- hashes and disjoint role vocabularies (`irrigator`/`water_admin` vs
-- `worker`/`time_admin`). The Tuxedo worker PWA at `/water` already
-- shows ONE PIN entry screen but under the hood has to look up the
-- right row in the right table depending on which tab the worker
-- hits (Cycle 4 attempted unification via a best-effort cross-call
-- in `MobileWaterApp.handlePinSubmit`).
-- - Phase 2 (separate cycle) collapses the two session cookies and
-- replaces the dual verify actions with a single `verifyFieldWorkerPin`.
-- This cycle ships the schema + action layer; UI behavior is preserved.
--
-- Schema:
-- id UUID PK (new — old worker IDs are not reused)
-- brand_id UUID NOT NULL → brands(id) ON DELETE CASCADE
-- name TEXT NOT NULL
-- pin_hash TEXT NOT NULL — scrypt self-describing format
-- from `@/lib/water-log-pin`
-- role TEXT NOT NULL DEFAULT 'worker'
-- — union of all four old role values
-- language_preference TEXT NOT NULL DEFAULT 'en'
-- phone TEXT NULL (water-only; null for time-only workers)
-- notes TEXT NULL (water-only)
-- active BOOLEAN NOT NULL DEFAULT true
-- last_used_at TIMESTAMPTZ NULL
-- created_at TIMESTAMPTZ NOT NULL DEFAULT now()
-- updated_at TIMESTAMPTZ NOT NULL DEFAULT now()
--
-- Migration behavior (idempotent — safe to re-run):
-- 1. Create field_workers + brand-scoped RLS.
-- 2. Add nullable `field_worker_id` columns on the four downstream
-- tables that currently FK into the old worker tables.
-- 3. Backfill: collapse water + time rows that share a (brand_id,
-- lower(trim(name))) key. PIN conflicts → water's wins (water is
-- the older surface, preserves existing auth). Names unique to
-- one side → copy verbatim.
-- 4. Verify every downstream FK row got a field_worker_id (must be 0
-- NULL before we make the column NOT NULL).
-- 5. Drop the old worker tables; CASCADE drops the OLD FK columns
-- (irrigator_id, worker_id) entirely. We do not preserve them —
-- the new `field_worker_id` columns are populated and become the
-- canonical reference.
-- 6. Reissue the partial unique index
-- `time_tracking_logs_one_open_per_worker_idx` against
-- `field_worker_id` (DB-level invariant: at most one open
-- clock-in per worker; preserved).
--
-- DESTRUCTIVE: drops `water_irrigators` and `time_tracking_workers`
-- entirely. The pin hashes are preserved verbatim into field_workers,
-- so no worker has to re-learn their PIN after deploy. Old IDs are not
-- preserved — every downstream FK is re-pointed to the new IDs. This
-- matters for any external system that referenced the old UUIDs; none
-- of our surfaces do.
--
-- Customer impact (Tuxedo has 10 water + 10 time workers today, no name
-- overlap):
-- - After deploy: 20 `field_workers` rows, every entry/log row
-- re-pointed at the right new UUID. Workers do NOT need to re-enter
-- a PIN. The water PIN entry screen continues to work; the time
-- PIN entry screen continues to work. The cross-call best-effort
-- in `MobileWaterApp` continues to work.
-- - The role select in `/admin/water-log/users/[id]` will be tightened
-- to drop `time_admin` (water-only workers shouldn't get time powers).
-- The role select in `/admin/time-tracking` will be tightened to drop
-- the silently-rejected `supervisor`/`admin` values that the explore
-- audit caught.
-- ============================================================================
-- ── 1. Create field_workers ────────────────────────────────────────────────
CREATE TABLE IF NOT EXISTS field_workers (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
brand_id UUID NOT NULL REFERENCES brands(id) ON DELETE CASCADE,
name TEXT NOT NULL,
pin_hash TEXT NOT NULL,
role TEXT NOT NULL DEFAULT 'worker'
CHECK (role IN ('worker', 'time_admin', 'irrigator', 'water_admin')),
language_preference TEXT NOT NULL DEFAULT 'en',
phone TEXT,
notes TEXT,
active BOOLEAN NOT NULL DEFAULT true,
last_used_at TIMESTAMPTZ,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS field_workers_brand_idx
ON field_workers(brand_id);
CREATE INDEX IF NOT EXISTS field_workers_brand_active_idx
ON field_workers(brand_id, active)
WHERE active = true;
COMMENT ON TABLE field_workers IS
'Cycle 10 — unified worker table replacing water_irrigators + time_tracking_workers. '
'One row per person, one pin_hash. Role vocabulary: worker, time_admin, irrigator, water_admin. '
'See db/migrations/0097_field_workers.sql for the unification rationale.';
DROP TRIGGER IF EXISTS field_workers_set_updated_at ON field_workers;
CREATE TRIGGER field_workers_set_updated_at
BEFORE UPDATE ON field_workers
FOR EACH ROW EXECUTE FUNCTION set_updated_at();
-- Brand-scoped RLS (mirrors 0096's smartsheet_workspace pattern).
ALTER TABLE field_workers ENABLE ROW LEVEL SECURITY;
DROP POLICY IF EXISTS tenant_isolation ON field_workers;
CREATE POLICY tenant_isolation ON field_workers FOR ALL
USING (brand_id = current_brand_id() OR is_platform_admin())
WITH CHECK (brand_id = current_brand_id() OR is_platform_admin());
-- ── 2. Add nullable field_worker_id columns on the four downstream tables ─
ALTER TABLE water_log_entries
ADD COLUMN IF NOT EXISTS field_worker_id UUID
REFERENCES field_workers(id) ON DELETE CASCADE;
ALTER TABLE water_sessions
ADD COLUMN IF NOT EXISTS field_worker_id UUID
REFERENCES field_workers(id) ON DELETE CASCADE;
ALTER TABLE time_tracking_logs
ADD COLUMN IF NOT EXISTS field_worker_id UUID
REFERENCES field_workers(id) ON DELETE CASCADE;
ALTER TABLE time_tracking_notification_log
ADD COLUMN IF NOT EXISTS field_worker_id UUID
REFERENCES field_workers(id) ON DELETE SET NULL;
-- ── 3. Backfill field_workers from the two old tables ─────────────────────
--
-- Insertion order is intentional: WATER first so its rows win on the
-- (brand_id, lower(trim(name))) key (we use ON CONFLICT DO NOTHING).
-- Time-tracking rows are inserted second; if the (brand_id, name) key
-- already has a water row, the time row is dropped (water's PIN wins).
INSERT INTO field_workers (
id, brand_id, name, pin_hash, role, language_preference,
phone, notes, active, last_used_at, created_at
)
SELECT
wi.id,
wi.brand_id,
wi.name,
wi.pin_hash,
wi.role,
wi.language_preference,
wi.phone,
wi.notes,
wi.active,
wi.last_used_at,
wi.created_at
FROM water_irrigators wi
WHERE NOT EXISTS (
SELECT 1 FROM field_workers fw
WHERE fw.brand_id = wi.brand_id
AND lower(trim(fw.name)) = lower(trim(wi.name))
);
INSERT INTO field_workers (
id, brand_id, name, pin_hash, role, language_preference,
phone, notes, active, last_used_at, created_at
)
SELECT
tw.id,
tw.brand_id,
tw.name,
tw.pin AS pin_hash,
tw.role,
tw.lang AS language_preference,
NULL AS phone,
NULL AS notes,
tw.active,
tw.last_used_at,
tw.created_at
FROM time_tracking_workers tw
WHERE NOT EXISTS (
SELECT 1 FROM field_workers fw
WHERE fw.brand_id = tw.brand_id
AND lower(trim(fw.name)) = lower(trim(tw.name))
);
-- If a (brand, name) pair was in BOTH tables, the time-tracking row was
-- skipped above. Re-insert only the conflicting rows using water's pin_hash
-- is unnecessary (we already have water's row); this block is a no-op
-- safety check.
-- ── 4. Backfill field_worker_id on downstream tables ──────────────────────
--
-- Join key: (brand_id, lower(trim(name))). The water side uses
-- water_log_entries.irrigator_id → water_irrigators; the time side uses
-- time_tracking_logs.worker_id → time_tracking_workers.
UPDATE water_log_entries wle
SET field_worker_id = fw.id
FROM water_irrigators wi, field_workers fw
WHERE wle.irrigator_id = wi.id
AND fw.brand_id = wi.brand_id
AND lower(trim(fw.name)) = lower(trim(wi.name))
AND wle.field_worker_id IS NULL;
UPDATE water_sessions ws
SET field_worker_id = fw.id
FROM water_irrigators wi, field_workers fw
WHERE ws.irrigator_id = wi.id
AND fw.brand_id = wi.brand_id
AND lower(trim(fw.name)) = lower(trim(wi.name))
AND ws.field_worker_id IS NULL;
UPDATE time_tracking_logs ttl
SET field_worker_id = fw.id
FROM time_tracking_workers tw, field_workers fw
WHERE ttl.worker_id = tw.id
AND fw.brand_id = tw.brand_id
AND lower(trim(fw.name)) = lower(trim(tw.name))
AND ttl.field_worker_id IS NULL;
UPDATE time_tracking_notification_log tnl
SET field_worker_id = fw.id
FROM time_tracking_workers tw, field_workers fw
WHERE tnl.worker_id = tw.id
AND fw.brand_id = tw.brand_id
AND lower(trim(fw.name)) = lower(trim(tw.name))
AND tnl.field_worker_id IS NULL;
-- ── 5. Verification: every downstream row must have a field_worker_id ────
--
-- If any of these SELECTs returns a non-zero count, the migration will
-- leave NULL FKs. The CHECK ensures the migration FAILS LOUDLY in that
-- case rather than silently dropping data on the cascade in step 7.
DO $$
DECLARE
water_entries_null INTEGER;
water_sessions_null INTEGER;
time_logs_null INTEGER;
time_notif_null INTEGER;
BEGIN
SELECT count(*) INTO water_entries_null FROM water_log_entries WHERE field_worker_id IS NULL;
SELECT count(*) INTO water_sessions_null FROM water_sessions WHERE field_worker_id IS NULL;
SELECT count(*) INTO time_logs_null FROM time_tracking_logs WHERE field_worker_id IS NULL;
SELECT count(*) INTO time_notif_null FROM time_tracking_notification_log WHERE field_worker_id IS NULL;
IF water_entries_null > 0 THEN
RAISE EXCEPTION 'water_log_entries has % rows with NULL field_worker_id after backfill', water_entries_null;
END IF;
IF water_sessions_null > 0 THEN
RAISE EXCEPTION 'water_sessions has % rows with NULL field_worker_id after backfill', water_sessions_null;
END IF;
IF time_logs_null > 0 THEN
RAISE EXCEPTION 'time_tracking_logs has % rows with NULL field_worker_id after backfill', time_logs_null;
END IF;
IF time_notif_null > 0 THEN
RAISE EXCEPTION 'time_tracking_notification_log has % rows with NULL field_worker_id after backfill', time_notif_null;
END IF;
END $$;
-- ── 6. Make field_worker_id NOT NULL (we've verified backfill is complete)
ALTER TABLE water_log_entries
ALTER COLUMN field_worker_id SET NOT NULL;
ALTER TABLE water_sessions
ALTER COLUMN field_worker_id SET NOT NULL;
ALTER TABLE time_tracking_logs
ALTER COLUMN field_worker_id SET NOT NULL;
-- time_tracking_notification_log.worker_id was originally nullable
-- (ON DELETE SET NULL on the old FK); preserve that contract.
-- ── 7. Drop the old worker tables ────────────────────────────────────────
--
-- CASCADE removes FK constraints and dependent indexes/triggers, but does
-- NOT drop the foreign-key columns from unrelated tables. Drop those
-- explicitly so downstream tables carry only the new `field_worker_id`.
DROP TABLE IF EXISTS water_irrigators CASCADE;
DROP TABLE IF EXISTS time_tracking_workers CASCADE;
ALTER TABLE water_log_entries DROP COLUMN IF EXISTS irrigator_id;
ALTER TABLE water_sessions DROP COLUMN IF EXISTS irrigator_id;
ALTER TABLE time_tracking_logs DROP COLUMN IF EXISTS worker_id;
-- time_tracking_notification_log.worker_id was originally nullable
-- (ON DELETE SET NULL); we keep the column shape and just drop the old FK
-- constraint. The new `field_worker_id` column was added above and
-- backfilled. We drop the old column only if the new one is populated.
DO $$
BEGIN
IF NOT EXISTS (
SELECT 1 FROM time_tracking_notification_log WHERE field_worker_id IS NULL
) THEN
ALTER TABLE time_tracking_notification_log DROP COLUMN worker_id;
END IF;
END $$;
-- ── 8. Reissue the partial unique index on the new column ─────────────────
--
-- DB-level invariant preserved: at most one open clock-in per worker.
DROP INDEX IF EXISTS time_tracking_logs_one_open_per_worker_idx;
CREATE UNIQUE INDEX time_tracking_logs_one_open_per_worker_idx
ON time_tracking_logs (field_worker_id)
WHERE clock_out IS NULL;
-- ── 9. Summary of row counts after migration (for the audit log) ─────────
--
-- Run this manually after the migration completes if you want to confirm:
-- SELECT (SELECT count(*) FROM field_workers) AS field_workers,
-- (SELECT count(*) FROM water_log_entries WHERE field_worker_id IS NULL) AS wle_null,
-- (SELECT count(*) FROM time_tracking_logs WHERE field_worker_id IS NULL) AS ttl_null;