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https://github.com/Kaelio/ktx.git
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56985b7e09
* 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
50 lines
2 KiB
TypeScript
50 lines
2 KiB
TypeScript
import { readFile } from 'node:fs/promises';
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import { describe, expect, it } from 'vitest';
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function forbiddenProductPattern() {
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return new RegExp([['Kae', 'lio'].join(''), ['kae', 'lio'].join(''), ['KAE', 'LIO_'].join('')].join('|'));
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}
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describe('ingest prompt assets', () => {
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it('teaches WorkUnit agents to apply canonical pins before writing contested artifacts', async () => {
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const prompt = await readFile(
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new URL('../../../src/prompts/memory_agent_bundle_ingest_work_unit.md', import.meta.url),
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'utf-8',
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);
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expect(prompt).toContain('<canonical_pins>');
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expect(prompt).toContain('canonicalArtifactKey');
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expect(prompt).toContain('prefer editing the pinned canonical artifact');
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expect(prompt).toContain('Do not create a duplicate contested artifact');
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});
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it('uses product-neutral KTX runtime wording', async () => {
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const prompt = await readFile(
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new URL('../../../src/prompts/memory_agent_bundle_ingest_work_unit.md', import.meta.url),
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'utf-8',
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);
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expect(prompt).toContain('KTX semantic-layer sources and/or knowledge wiki pages');
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expect(prompt).toContain('maps cleanly to KTX');
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expect(prompt).not.toMatch(forbiddenProductPattern());
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});
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it('uses shipped warehouse verification tools in the WorkUnit prompt', async () => {
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const prompt = await readFile(
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new URL('../../../src/prompts/memory_agent_bundle_ingest_work_unit.md', import.meta.url),
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'utf-8',
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);
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expect(prompt).toContain('discover_data');
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expect(prompt).toContain('entity_details');
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expect(prompt).not.toContain('wiki_sl_search');
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expect(prompt).not.toContain('sl_describe_table');
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});
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it('does not route historic-SQL through page-triage prompt examples', async () => {
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const prompt = await readFile(new URL('../../../src/prompts/skills/page_triage_classifier.md', import.meta.url), 'utf-8');
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expect(prompt).not.toContain(['historic_sql', 'template'].join('_'));
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expect(prompt).not.toContain('service_account_only=true AND below the frequency floor');
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});
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});
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