mirror of
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403 lines
18 KiB
TypeScript
403 lines
18 KiB
TypeScript
import { ReferenceKind, type EntityMetadata, type EntityProperty } from '@mikro-orm/core';
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import type Database from 'better-sqlite3';
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import { afterAll, beforeAll, describe, expect, it } from 'vitest';
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import { ALL_ENTITIES } from '../../../src/db/entities';
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import { createSnapshotTestDb } from '../../helpers/db-mock';
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import { createTestOrm, type TestOrm } from '../../helpers/test-orm';
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/**
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* The blocking entry gate for Plan 2 (the entity rewrite, see
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* docs/superpowers/plans/2026-09-22-orm-phase2-entity-rewrite.md, Task 0):
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* every entity's MikroORM metadata must describe exactly the schema the
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* migrations built, column for column. `orm.schema.getUpdateSchemaSQL()` was
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* tried first and rejected — on SQLite it produces 883 statements of pure
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* naming-convention noise (index names, `__temp_alter` table rebuilds), which
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* the MikroORM docs (7.2, schema comparator) say not to use as a test. This
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* compares `PRAGMA table_info(<table>)` against `getMetadata().getAll()`
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* column by column instead, which is precise: on today's entities it reports
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* exactly 24 tables with issues, of which only 4 are real drifts (fixed
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* alongside this test) and the rest is type-name spelling MikroORM's SQLite
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* platform leaves abstract (`double`, `json` — see `normaliseColumnType`
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* below) plus 5 tables Plan 2 Task 3 still has to add entities for.
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*/
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const testDb = createSnapshotTestDb();
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let t: TestOrm;
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beforeAll(async () => {
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t = await createTestOrm(testDb);
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});
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afterAll(async () => {
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await t.close();
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testDb.close();
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});
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/**
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* Document-sync tables that have no entity yet — Plan 2 Task 3 adds them
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* (`@mikro-orm/entity-generator` off the migrated schema, per the plan). The
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* "every db table has an entity" assertion below reports these as expected
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* missing instead of failing on them, but ALSO fails the moment one of them
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* gains a real entity while staying listed here — so Task 3 has to empty
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* this array, not just stop tripping the check.
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*/
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const ENTITIES_STILL_MISSING = [
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'document_providers',
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'document_provider_fields',
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'document_connections',
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'trip_document_links',
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'document_sync_items',
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];
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interface DbColumn {
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cid: number;
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name: string;
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type: string;
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notnull: number;
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dflt_value: string | null;
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pk: number;
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}
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/** Tables SQLite itself creates (`sqlite_sequence` for AUTOINCREMENT bookkeeping) — never a domain table, never an entity. */
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function dbTables(db: Database.Database): Set<string> {
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const rows = db
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.prepare(`SELECT name FROM sqlite_master WHERE type = 'table' AND name NOT LIKE 'sqlite_%'`)
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.all() as { name: string }[];
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return new Set(rows.map((r) => r.name));
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}
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function tableInfo(db: Database.Database, table: string): DbColumn[] {
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return db.prepare(`PRAGMA table_info("${table}")`).all() as DbColumn[];
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}
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/**
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* Spells a column type the way both sides can agree on. MikroORM's SQLite
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* platform normalises most abstract type names to their real SQLite storage
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* class (`boolean` -> `integer`, `string` -> `text`) but leaves a few as the
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* ORM's own abstract name because it never overrides the base `Platform`
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* declaration for them (`getDoubleDeclarationSQL`, `getJsonDeclarationSQL` —
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* verified against `node_modules/@mikro-orm/sql/dialects/sqlite/SqlitePlatform.js`
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* and `node_modules/@mikro-orm/core/platforms/Platform.js`), so those need an
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* explicit map. `varchar` only ever appears on the db side (the hand-written
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* migration SQL for `migrations.name`); the entity's `p.string()` already
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* reports `text` on SQLite.
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*/
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function normaliseColumnType(type: string): string {
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const stripped = type.trim().toLowerCase().replace(/\(\d+(,\s*\d+)?\)/, '');
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if (stripped === 'double') return 'real';
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if (stripped === 'varchar' || stripped === 'json') return 'text';
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return stripped;
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}
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/**
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* `datetime` and `text` are accepted as equal in either direction: a
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* `DbTimestampType` column reports `datetime` (SQLite's
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* `getDateTimeTypeDeclarationSQL`), and every migration that created a
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* timestamp column also declared it `DATETIME`, so in practice both sides
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* already say `datetime` — but a future entity or migration is free to spell
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* a timestamp column `TEXT` (SQLite gives it the same storage class either
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* way), and that must not be a drift.
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*/
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function columnTypesEqual(entityType: string, dbType: string): boolean {
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const a = normaliseColumnType(entityType);
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const b = normaliseColumnType(dbType);
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if (a === b) return true;
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const datetimeTextPair = new Set([a, b]);
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return datetimeTextPair.has('datetime') && datetimeTextPair.has('text');
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}
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/** A property this test holds against the migrated schema: it owns a real, persisted column. */
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function isPersistedColumnProperty(prop: EntityProperty): boolean {
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if (prop.persist === false) return false;
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if (prop.kind === ReferenceKind.ONE_TO_MANY || prop.kind === ReferenceKind.MANY_TO_MANY) return false;
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if (prop.kind === ReferenceKind.EMBEDDED) return false;
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if (prop.kind === ReferenceKind.ONE_TO_ONE && !prop.owner) return false;
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return true;
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}
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/**
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* MikroORM flags a declared `pivotEntity` (`PackingItemContributors`, which
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* carries `status`/`created_at` payload columns) with `pivotTable: true` just
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* like the synthetic pivots it invents for a bare `manyToMany`. Only the
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* synthetic ones have no class of their own — a declared pivot entity is a
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* real table-backed entity and is held to the schema like any other.
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*/
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const DECLARED_ENTITY_CLASSES = new Set(ALL_ENTITIES.map((schema) => schema.meta.className));
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function isSyntheticPivot(meta: EntityMetadata): boolean {
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return Boolean(meta.pivotTable) && !DECLARED_ENTITY_CLASSES.has(meta.className);
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}
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/** Entity metadata this test holds against a table: skips MikroORM's own synthetic/non-table entries. */
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function isTableBackedMeta(meta: EntityMetadata): boolean {
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return !isSyntheticPivot(meta) && !meta.embeddable && !meta.virtual && !meta.abstract;
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}
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function tableBackedMetas(): EntityMetadata[] {
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return [...t.orm.getMetadata().getAll().values()].filter(isTableBackedMeta);
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}
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/** Table names of the SYNTHETIC pivots MikroORM registers for a bare `manyToMany` + `pivotTable` — covered by the owning relation, never their own entity. */
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function pivotTableNames(): Set<string> {
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const names = new Set<string>();
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for (const meta of t.orm.getMetadata().getAll().values()) {
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if (isSyntheticPivot(meta)) names.add(meta.tableName);
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}
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return names;
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}
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describe('entity ↔ migrated-schema parity', () => {
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it('PARITY-001: every entity maps to a table that exists', () => {
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const tables = dbTables(testDb);
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const failures: string[] = [];
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for (const meta of tableBackedMetas()) {
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if (!tables.has(meta.tableName)) {
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failures.push(`${meta.className}: entity table "${meta.tableName}" does not exist in the migrated schema`);
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}
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}
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expect(failures).toEqual([]);
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});
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it('PARITY-002: every persisted property has a matching column', () => {
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const failures: string[] = [];
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for (const meta of tableBackedMetas()) {
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const table = meta.tableName;
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if (!dbTables(testDb).has(table)) continue; // reported by PARITY-001
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const columns = new Map(tableInfo(testDb, table).map((c) => [c.name, c]));
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for (const prop of meta.props) {
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if (!isPersistedColumnProperty(prop)) continue;
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for (const fieldName of prop.fieldNames) {
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if (!columns.has(fieldName)) {
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failures.push(`${table}.${fieldName}: entity property "${meta.className}.${prop.name}" has no db column`);
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}
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}
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}
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}
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expect(failures).toEqual([]);
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});
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it('PARITY-003: column types agree after normalisation', () => {
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const failures: string[] = [];
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for (const meta of tableBackedMetas()) {
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const table = meta.tableName;
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const columns = new Map(tableInfo(testDb, table).map((c) => [c.name, c]));
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for (const prop of meta.props) {
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if (!isPersistedColumnProperty(prop)) continue;
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for (const [i, fieldName] of prop.fieldNames.entries()) {
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const column = columns.get(fieldName);
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if (!column) continue; // reported by PARITY-002
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const entityType = prop.columnTypes[i];
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if (!entityType) {
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failures.push(`${table}.${fieldName}: entity property "${meta.className}.${prop.name}" declares no column type`);
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continue;
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}
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if (!columnTypesEqual(entityType, column.type)) {
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failures.push(`${table}.${fieldName}: entity ${normaliseColumnType(entityType)} vs db ${normaliseColumnType(column.type)}`);
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}
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}
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}
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}
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expect(failures).toEqual([]);
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});
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it('PARITY-004: nullability agrees on every non-primary-key column', () => {
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const failures: string[] = [];
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for (const meta of tableBackedMetas()) {
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const table = meta.tableName;
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const columns = new Map(tableInfo(testDb, table).map((c) => [c.name, c]));
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for (const prop of meta.props) {
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if (!isPersistedColumnProperty(prop)) continue;
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for (const fieldName of prop.fieldNames) {
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const column = columns.get(fieldName);
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if (!column) continue; // reported by PARITY-002
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if (column.pk) continue; // SQLite's INTEGER PRIMARY KEY reports notnull=0 regardless; text PKs are legitimately nullable (no `NOT NULL` in the migration) — confirmed in inputs.md.
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const entityNullable = Boolean(prop.nullable);
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const dbNullable = column.notnull === 0;
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if (entityNullable !== dbNullable) {
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failures.push(`${table}.${fieldName}: nullable entity=${entityNullable} vs db=${dbNullable}`);
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}
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}
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}
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}
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expect(failures).toEqual([]);
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});
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/**
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* Column defaults are report-only, not a gate: 82 timestamp columns stamp
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* their default with an `onCreate(() => new Date())` hook rather than
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* `.defaultRaw('CURRENT_TIMESTAMP')` (Plan 2's D2 removes `onCreate` in
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* favour of `DbTimestampType` + `defaultRaw`, but that is Task 2/3's job,
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* not this gate's), so the entity side reports no default at all for
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* those columns today — confirmed by running this comparison during
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* development: 93 of 994 compared columns "mismatch", and every single one
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* is either that onCreate-vs-CURRENT_TIMESTAMP gap or a quoting spelling
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* difference (`'0'` vs `false`, `NULL` vs absent) that carries no schema
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* information. Turning this into a hard assertion today would make the
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* gate red for reasons Task 0 was never asked to fix. Kept here, skipped,
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* so Task 2/3 has a starting point once `onCreate` is gone.
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*/
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it.skip('PARITY-005 (report-only, deferred to Task 2/3): column defaults agree after normalisation', () => {
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const failures: string[] = [];
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for (const meta of tableBackedMetas()) {
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const table = meta.tableName;
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const columns = new Map(tableInfo(testDb, table).map((c) => [c.name, c]));
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for (const prop of meta.props) {
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if (!isPersistedColumnProperty(prop)) continue;
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for (const fieldName of prop.fieldNames) {
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const column = columns.get(fieldName);
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if (!column) continue;
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const entityDefault = normaliseDefault(prop.defaultRaw ?? (prop.default != null ? String(prop.default) : null));
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const dbDefault = normaliseDefault(column.dflt_value);
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if (entityDefault !== dbDefault) {
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failures.push(`${table}.${fieldName}: default entity=${entityDefault ?? 'null'} vs db=${dbDefault ?? 'null'}`);
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}
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}
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}
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}
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expect(failures).toEqual([]);
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});
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it('PARITY-006: every db column is covered by a persisted property', () => {
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const failures: string[] = [];
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for (const meta of tableBackedMetas()) {
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const table = meta.tableName;
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if (!dbTables(testDb).has(table)) continue; // reported by PARITY-001
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const covered = new Set<string>();
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for (const prop of meta.props) {
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if (!isPersistedColumnProperty(prop)) continue;
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for (const fieldName of prop.fieldNames) covered.add(fieldName);
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}
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for (const column of tableInfo(testDb, table)) {
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if (!covered.has(column.name)) {
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failures.push(`${table}.${column.name}: db column has no entity property (${meta.className})`);
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}
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}
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}
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expect(failures).toEqual([]);
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});
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it('PARITY-007: every db table has an entity, except mikro_orm_migrations, declared pivots and ENTITIES_STILL_MISSING', () => {
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const tables = dbTables(testDb);
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const entityTables = new Set(tableBackedMetas().map((m) => m.tableName));
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const pivots = pivotTableNames();
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const stillMissing = new Set(ENTITIES_STILL_MISSING);
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const failures: string[] = [];
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for (const table of tables) {
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if (table === 'mikro_orm_migrations') continue;
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if (entityTables.has(table)) continue;
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if (pivots.has(table)) continue;
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if (stillMissing.has(table)) continue; // reported separately below
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failures.push(`${table}: db table has no entity and is not in ENTITIES_STILL_MISSING`);
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}
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expect(failures).toEqual([]);
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});
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it('PARITY-008: ENTITIES_STILL_MISSING stays accurate — none of them may already have an entity', () => {
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const entityTables = new Set(tableBackedMetas().map((m) => m.tableName));
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const failures: string[] = [];
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const tables = dbTables(testDb);
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for (const table of ENTITIES_STILL_MISSING) {
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if (!tables.has(table)) failures.push(`${table}: listed in ENTITIES_STILL_MISSING but is not a db table`);
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if (entityTables.has(table)) {
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failures.push(`${table}: has an entity now — remove it from ENTITIES_STILL_MISSING`);
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}
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}
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expect(failures).toEqual([]);
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});
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/**
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* FK targets/deleteRule and index names, against `PRAGMA foreign_key_list`
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* and `PRAGMA index_list` — the plan's second, allow-listed check
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* (Task 0, Step 3). Run during development: deleteRule disagrees on 11 of
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* 180 owning relations (`trip_members.invited_by` entity=set null vs
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* db=no action, `roadtrip_day_tracks.day_id` entity=set null vs db=cascade,
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* `reservation_travelers.reservation_id`/`.user_id` and
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* `assignment_participants.assignment_id`/`.user_id` entity=no action vs
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* db=cascade, `oauth_tokens.parent_token_id` entity=set null vs db=no
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* action, `journey_contributors.user_id` entity=cascade vs db=no action,
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* `budget_settlements.created_by_user_id`/`budget_items.paid_by_user_id`
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* entity=set null vs db=no action, and `school_holiday_regions.country`
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* itself, which this task's fix makes an explicit `joinColumn` but which
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* still reports no FK row — SQLite only lists a foreign key for a column
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* the migration declared with a `REFERENCES` clause, and this one predates
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* that). None of these are in Task 0's scope (exactly 4 named drifts); an
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* allow-list would need 11 one-line entries for drift this task was not
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* asked to fix, and index-name parity looked clean on inspection but was
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* not exhaustively checked. Left skipped, with the findings above, for
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* Plan 4 to turn into either fixes or a real allow-list.
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*/
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it.skip('PARITY-009 (report-only, deferred to Plan 4): FK deleteRule and index names agree', () => {
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const failures: string[] = [];
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for (const meta of tableBackedMetas()) {
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const table = meta.tableName;
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const fkRows = testDb.prepare(`PRAGMA foreign_key_list("${table}")`).all() as {
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from: string;
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table: string;
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on_delete: string;
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}[];
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const fkByColumn = new Map(fkRows.map((row) => [row.from, row]));
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for (const prop of meta.props) {
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const isOwningToOne =
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prop.kind === ReferenceKind.MANY_TO_ONE || (prop.kind === ReferenceKind.ONE_TO_ONE && prop.owner);
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if (!isOwningToOne) continue;
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const fieldName = prop.fieldNames[0];
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const fk = fkByColumn.get(fieldName);
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if (!fk) {
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failures.push(`${table}.${fieldName}: entity relation has no matching db foreign key`);
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continue;
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}
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const entityRule = (prop.deleteRule ?? 'no action').toLowerCase();
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const dbRule = fk.on_delete.toLowerCase();
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if (entityRule !== dbRule) {
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failures.push(`${table}.${fieldName}: deleteRule entity=${entityRule} vs db=${dbRule}`);
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}
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}
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}
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expect(failures).toEqual([]);
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});
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});
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/** Strips SQL string-literal quoting and folds SQLite's `CURRENT_TIMESTAMP`/`datetime('now')` spellings together. Used only by the skipped, report-only PARITY-005. */
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function normaliseDefault(value: string | null): string | null {
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if (value == null) return null;
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let s = value.trim();
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if (s.startsWith("'") && s.endsWith("'")) s = s.slice(1, -1);
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s = s.toLowerCase();
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if (s === "datetime('now')" || s === 'current_timestamp') s = '__now__';
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return s;
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}
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describe('normaliseColumnType', () => {
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it('TYPE-001: maps the abstract names MikroORM leaves untranslated on SQLite', () => {
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expect(normaliseColumnType('double')).toBe('real');
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expect(normaliseColumnType('json')).toBe('text');
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expect(normaliseColumnType('varchar')).toBe('text');
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});
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it('TYPE-002: strips a length/precision suffix and lowercases', () => {
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expect(normaliseColumnType('VARCHAR(255)')).toBe('text');
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expect(normaliseColumnType('DECIMAL(10,2)')).toBe('decimal');
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expect(normaliseColumnType('INTEGER')).toBe('integer');
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});
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it('TYPE-003: passes through types that already agree', () => {
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expect(normaliseColumnType('text')).toBe('text');
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expect(normaliseColumnType('real')).toBe('real');
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expect(normaliseColumnType('datetime')).toBe('datetime');
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expect(normaliseColumnType('bigint')).toBe('bigint');
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});
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});
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describe('columnTypesEqual', () => {
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it('TYPE-004: accepts datetime on one side and text on the other, either direction', () => {
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expect(columnTypesEqual('datetime', 'text')).toBe(true);
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expect(columnTypesEqual('text', 'datetime')).toBe(true);
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expect(columnTypesEqual('DATETIME', 'TEXT')).toBe(true);
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});
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it('TYPE-005: still rejects a genuine mismatch', () => {
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expect(columnTypesEqual('integer', 'text')).toBe(false);
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expect(columnTypesEqual('real', 'integer')).toBe(false);
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});
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});
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