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