ktx/packages/cli/test/context/ingest/adapters/live-database/manifest.test.ts
Andrey Avtomonov 56985b7e09
test: split cli tests from source tree (#216)
* feat(cli): define full warehouse dialect contract

* test(cli): keep dialect edge tests focused

* fix(cli): stabilize dialect contract foundation

* refactor(connectors): own read-only query preparation

* refactor(connectors): resolve dialects through registry

* refactor(connectors): keep concrete dialect classes internal

* chore(workspace): enforce dialect import boundary

* refactor(cli): resolve relationship dialect at scan boundary

* refactor(cli): use dialect display parsing for entity details

* refactor(cli): use dialect display parsing for warehouse catalog

* refactor(cli): use dialect SQL in relationship workflows

* test(cli): verify solid dialect scan workflow closure

* test: split cli tests from source tree

* refactor(cli): standardize BigQuery scope listing

* feat(sqlite): implement connector scope listing

* test(connectors): cover required table listing

* feat(cli): add warehouse driver registry

* refactor(setup): route scope discovery through driver registry

* refactor(cli): route local query execution through driver registry

* refactor(historic-sql): route dialect support through driver registry

* refactor(cli): test warehouse connections through driver registry

* fix(cli): close driver registry type export gaps

* Improve setup daemon diagnostics

* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback

Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.

* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match

The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.

Align the picker boundary with the canonical 3-level KtxTableRef:

- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
  resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
  (resolveEnabledTables already accepts the 3-part shape) and
  schemasFromEnabledTables now goes through parseDottedTableEntry so it
  recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
  reuse.

Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).

* fix(cli): allow debug telemetry under opt-out env
2026-05-26 08:49:05 +02:00

308 lines
8.6 KiB
TypeScript

import { describe, expect, it } from 'vitest';
import {
buildLiveDatabaseManifestShards,
type LiveDatabaseManifestExistingDescriptions,
type LiveDatabaseManifestJoinEntry,
type LiveDatabaseManifestShard,
} from '../../../../../src/context/ingest/adapters/live-database/manifest.js';
function shardObject(shards: Map<string, LiveDatabaseManifestShard>): Record<string, LiveDatabaseManifestShard> {
return Object.fromEntries([...shards.entries()].sort(([a], [b]) => a.localeCompare(b)));
}
describe('buildLiveDatabaseManifestShards', () => {
it('builds shard objects with generated joins and preserved external descriptions', () => {
const existingDescriptions = new Map<string, LiveDatabaseManifestExistingDescriptions>([
[
'orders',
{
table: { user: 'Pinned analyst description', db: 'Old db description' },
columns: new Map([['id', { user: 'Pinned id description', db: 'Old id description' }]]),
},
],
]);
const preservedJoins = new Map<string, LiveDatabaseManifestJoinEntry[]>([
[
'orders',
[
{
to: 'customers',
on: 'orders.account_id = customers.id',
relationship: 'many_to_one',
source: 'manual',
},
{
to: 'missing_accounts',
on: 'orders.account_id = missing_accounts.id',
relationship: 'many_to_one',
source: 'manual',
},
],
],
]);
const result = buildLiveDatabaseManifestShards({
connectionType: 'POSTGRESQL',
mapColumnType: (nativeType) => nativeType.toLowerCase(),
existingDescriptions,
existingPreservedJoins: preservedJoins,
tables: [
{
name: 'orders',
catalog: null,
db: 'public',
descriptions: { db: 'Fresh db description', ai: 'Generated AI description' },
columns: [
{
name: 'id',
type: 'INTEGER',
pk: true,
nullable: false,
descriptions: { db: 'Fresh id description' },
},
{
name: 'customer_id',
type: 'INTEGER',
},
],
},
{
name: 'customers',
catalog: null,
db: 'public',
columns: [
{
name: 'id',
type: 'INTEGER',
pk: true,
nullable: false,
},
],
},
],
joins: [
{
fromTable: 'orders',
fromColumns: ['customer_id'],
toTable: 'customers',
toColumns: ['id'],
relationship: 'MANY_TO_ONE',
source: 'formal',
},
],
});
expect(result.tablesProcessed).toBe(2);
expect(shardObject(result.shards)).toEqual({
public: {
tables: {
orders: {
table: 'public.orders',
descriptions: {
user: 'Pinned analyst description',
db: 'Fresh db description',
ai: 'Generated AI description',
},
columns: [
{
name: 'id',
type: 'integer',
pk: true,
nullable: false,
descriptions: {
user: 'Pinned id description',
db: 'Fresh id description',
},
},
{
name: 'customer_id',
type: 'integer',
},
],
joins: [
{
to: 'customers',
on: 'orders.customer_id = customers.id',
relationship: 'many_to_one',
source: 'formal',
},
{
to: 'customers',
on: 'orders.account_id = customers.id',
relationship: 'many_to_one',
source: 'manual',
},
],
},
customers: {
table: 'public.customers',
columns: [
{
name: 'id',
type: 'integer',
pk: true,
nullable: false,
},
],
joins: [
{
to: 'orders',
on: 'customers.id = orders.customer_id',
relationship: 'one_to_many',
source: 'formal',
},
],
},
},
},
});
});
it('uses warehouse and schema shard keys for snowflake-style connections', () => {
const result = buildLiveDatabaseManifestShards({
connectionType: 'SNOWFLAKE',
mapColumnType: (nativeType) => nativeType.toLowerCase(),
tables: [
{
name: 'accounts',
catalog: 'ANALYTICS',
db: 'CORE',
columns: [{ name: 'id', type: 'NUMBER' }],
},
],
joins: [],
});
expect(shardObject(result.shards)).toEqual({
'ANALYTICS.CORE': {
tables: {
accounts: {
table: 'ANALYTICS.CORE.accounts',
columns: [{ name: 'id', type: 'number' }],
},
},
},
});
});
it('preserves external usage keys while replacing historic SQL managed keys', () => {
const existingUsage = new Map([
[
'orders',
{
narrative: 'Old generated usage narrative.',
frequencyTier: 'low' as const,
commonFilters: ['old_status'],
commonJoins: [],
ownerNote: 'Pinned analyst note',
},
],
]);
const result = buildLiveDatabaseManifestShards({
connectionType: 'POSTGRESQL',
mapColumnType: (nativeType) => nativeType.toLowerCase(),
existingUsage,
tables: [
{
name: 'orders',
catalog: null,
db: 'public',
usage: {
narrative: 'Fresh generated usage narrative.',
frequencyTier: 'high',
commonFilters: ['status'],
commonGroupBys: ['created_at'],
commonJoins: [{ table: 'public.customers', on: ['customer_id'] }],
},
columns: [{ name: 'id', type: 'INTEGER' }],
},
],
joins: [],
});
expect(shardObject(result.shards)).toEqual({
public: {
tables: {
orders: {
table: 'public.orders',
usage: {
ownerNote: 'Pinned analyst note',
narrative: 'Fresh generated usage narrative.',
frequencyTier: 'high',
commonFilters: ['status'],
commonGroupBys: ['created_at'],
commonJoins: [{ table: 'public.customers', on: ['customer_id'] }],
},
columns: [{ name: 'id', type: 'integer' }],
},
},
},
});
});
it('renders ordered multi-column joins in both directions', () => {
const result = buildLiveDatabaseManifestShards({
connectionType: 'POSTGRESQL',
mapColumnType: (nativeType) => nativeType,
tables: [
{
name: 'order_lines',
catalog: null,
db: 'public',
columns: [
{ name: 'order_id', type: 'integer' },
{ name: 'line_number', type: 'integer' },
],
},
{
name: 'order_line_allocations',
catalog: null,
db: 'public',
columns: [
{ name: 'order_id', type: 'integer' },
{ name: 'line_number', type: 'integer' },
],
},
],
joins: [
{
fromTable: 'order_line_allocations',
fromColumns: ['order_id', 'line_number'],
toTable: 'order_lines',
toColumns: ['order_id', 'line_number'],
relationship: 'many_to_one',
source: 'inferred',
},
],
});
expect(shardObject(result.shards)).toMatchObject({
public: {
tables: {
order_line_allocations: {
joins: [
{
to: 'order_lines',
on: 'order_line_allocations.order_id = order_lines.order_id AND order_line_allocations.line_number = order_lines.line_number',
relationship: 'many_to_one',
source: 'inferred',
},
],
},
order_lines: {
joins: [
{
to: 'order_line_allocations',
on: 'order_lines.order_id = order_line_allocations.order_id AND order_lines.line_number = order_line_allocations.line_number',
relationship: 'one_to_many',
source: 'inferred',
},
],
},
},
},
});
});
});