Files
fm_be/migrations/goose/20260511_kassa_import_apply.sql
2026-07-16 22:16:45 +07:00

70 lines
2.0 KiB
SQL

-- +goose Up
-- Apply legacy kassa staging data into `health_insurance_companies`.
-- Expected flow before this migration:
-- 1) Run previous migration that creates `kassa_old_import`.
-- 2) Import old dump rows into `kassa_old_import`.
-- This migration maps old integer IDs into BINARY(16) UUID-style IDs,
-- then upserts into `health_insurance_companies` with `is_active` forced to 1.
START TRANSACTION;
INSERT INTO kassa_old_id_map (old_id, new_id)
SELECT
s.id AS old_id,
UNHEX(REPLACE(
LOWER(CONCAT(
LPAD(HEX(FLOOR(CAST(UNIX_TIMESTAMP(UTC_TIMESTAMP(3)) * 1000 AS UNSIGNED) / 65536)), 8, '0'),
'-',
LPAD(HEX(MOD(CAST(UNIX_TIMESTAMP(UTC_TIMESTAMP(3)) * 1000 AS UNSIGNED), 65536)), 4, '0'),
'-',
'7', LPAD(HEX(FLOOR(RAND() * 4096)), 3, '0'),
'-',
LPAD(HEX(FLOOR(RAND() * 16384) + 32768), 4, '0'),
'-',
LPAD(HEX(FLOOR(RAND() * 281474976710656)), 12, '0')
)),
'-', ''
)) AS new_id
FROM kassa_old_import s
LEFT JOIN kassa_old_id_map m ON m.old_id = s.id
WHERE m.old_id IS NULL;
INSERT INTO health_insurance_companies (
id,
name,
state,
address,
mobile_number,
email,
is_active,
created_at,
updated_at
)
SELECT
m.new_id,
LEFT(COALESCE(NULLIF(TRIM(s.name), ''), CONCAT('Kassa ', s.id)), 128) AS name,
LEFT(TRIM(COALESCE(s.region, '')), 128) AS state,
LEFT(TRIM(COALESCE(s.address, '')), 256) AS address,
LEFT(TRIM(COALESCE(s.phone, '')), 20) AS mobile_number,
LEFT(TRIM(COALESCE(s.email, '')), 128) AS email,
1 AS is_active,
UTC_TIMESTAMP() AS created_at,
UTC_TIMESTAMP() AS updated_at
FROM kassa_old_import s
JOIN kassa_old_id_map m ON m.old_id = s.id
ON DUPLICATE KEY UPDATE
name = VALUES(name),
state = VALUES(state),
address = VALUES(address),
mobile_number = VALUES(mobile_number),
email = VALUES(email),
is_active = 1,
updated_at = UTC_TIMESTAMP();
COMMIT;
-- +goose Down
-- Data migration is intentionally non-reversible.
-- Keep imported data and ID mapping as audit trail.
SELECT 1;