ktx/packages/cli/test/context/ingest/memory-flow/schema.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

165 lines
6 KiB
TypeScript

import { describe, expect, it } from 'vitest';
import {
memoryFlowReplayInputSchema,
memoryFlowStreamEventSchema,
parseMemoryFlowReplayInput,
} from '../../../../src/context/ingest/memory-flow/schema.js';
import type { MemoryFlowReplayInput } from '../../../../src/context/ingest/memory-flow/types.js';
function snapshot(overrides: Partial<MemoryFlowReplayInput> = {}): MemoryFlowReplayInput {
return {
runId: 'job-1',
connectionId: 'connection-1',
adapter: 'metabase',
status: 'running',
sourceDir: null,
syncId: 'sync-1',
errors: [],
events: [
{ type: 'source_acquired', adapter: 'metabase', trigger: 'manual_resync', fileCount: 2 },
{ type: 'scope_detected', fingerprint: 'scope-1' },
{ type: 'raw_snapshot_written', syncId: 'sync-1', rawFileCount: 2 },
{ type: 'diff_computed', added: 1, modified: 1, deleted: 0, unchanged: 0 },
{ type: 'chunks_planned', chunkCount: 1, workUnitCount: 1, evictionCount: 0 },
{ type: 'stage_progress', stage: 'integration', percent: 80, message: 'Integrating 1/1 patches: orders' },
{ type: 'work_unit_started', unitKey: 'orders', skills: ['wiki_capture'], stepBudget: 40 },
{ type: 'work_unit_step', unitKey: 'orders', stepIndex: 1, stepBudget: 40 },
{ type: 'candidate_action', unitKey: 'orders', target: 'wiki', action: 'created', key: 'wiki/orders.md' },
{ type: 'work_unit_finished', unitKey: 'orders', status: 'success' },
{ type: 'reconciliation_finished', conflictCount: 0, fallbackCount: 0 },
{ type: 'saved', commitSha: 'abc12345', wikiCount: 1, slCount: 0 },
{ type: 'provenance_recorded', rowCount: 1 },
{ type: 'report_created', runId: 'run-1', reportPath: 'ingest-report.json' },
],
plannedWorkUnits: [{ unitKey: 'orders', rawFiles: ['orders.md'], peerFileCount: 0, dependencyCount: 1 }],
details: {
actions: [
{
unitKey: 'orders',
target: 'wiki',
action: 'created',
key: 'wiki/orders.md',
summary: 'Created orders page',
rawFiles: ['orders.md'],
status: 'success',
},
],
provenance: [
{
rawPath: 'orders.md',
artifactKind: 'wiki',
artifactKey: 'wiki/orders.md',
actionType: 'wiki_written',
},
],
transcripts: [
{
unitKey: 'orders',
path: 'transcripts/orders.jsonl',
toolCallCount: 2,
errorCount: 0,
toolNames: ['wiki_write'],
},
],
},
...overrides,
};
}
describe('memory-flow schemas', () => {
it('parses a full replay input snapshot', () => {
expect(parseMemoryFlowReplayInput(snapshot())).toEqual(snapshot());
});
it('parses replay metadata and timestamped events', () => {
const parsed = parseMemoryFlowReplayInput(
snapshot({
metadata: {
schemaVersion: 1,
mode: 'full',
origin: 'captured',
timing: 'captured',
capturedAt: '2026-05-01T10:00:03.000Z',
sourceReportId: 'report-1',
sourceReportPath: 'reports/report-1.json',
fallbackReason: null,
},
events: [
{
type: 'source_acquired',
adapter: 'metabase',
trigger: 'manual_resync',
fileCount: 2,
emittedAt: '2026-05-01T10:00:00.000Z',
},
],
}),
);
expect(parsed.metadata).toEqual({
schemaVersion: 1,
mode: 'full',
origin: 'captured',
timing: 'captured',
capturedAt: '2026-05-01T10:00:03.000Z',
sourceReportId: 'report-1',
sourceReportPath: 'reports/report-1.json',
fallbackReason: null,
});
expect(parsed.events).toEqual([
{
type: 'source_acquired',
adapter: 'metabase',
trigger: 'manual_resync',
fileCount: 2,
emittedAt: '2026-05-01T10:00:00.000Z',
},
]);
});
it('parses skipped deterministic stages', () => {
const parsed = parseMemoryFlowReplayInput(
snapshot({
status: 'done',
events: [
{ type: 'source_acquired', adapter: 'live-database', trigger: 'demo_deterministic', fileCount: 7 },
{ type: 'scope_detected', fingerprint: 'sqlite' },
{ type: 'raw_snapshot_written', syncId: 'sync-demo', rawFileCount: 7 },
{ type: 'diff_computed', added: 7, modified: 0, deleted: 0, unchanged: 0 },
{ type: 'chunks_planned', chunkCount: 7, workUnitCount: 0, evictionCount: 0 },
{ type: 'stage_skipped', stage: 'workUnits', reason: 'deterministic mode' },
{ type: 'stage_skipped', stage: 'actions', reason: 'requires LLM' },
{ type: 'stage_skipped', stage: 'gates', reason: 'requires candidate actions' },
{ type: 'stage_skipped', stage: 'saved', reason: 'requires LLM memory synthesis' },
{ type: 'saved', commitSha: null, wikiCount: 0, slCount: 0 },
{ type: 'provenance_recorded', rowCount: 0 },
{
type: 'report_created',
runId: 'scan-demo',
reportPath: 'raw-sources/orbit_demo/live-database/sync-demo/scan-report.json',
},
],
}),
);
expect(parsed.events).toContainEqual({ type: 'stage_skipped', stage: 'workUnits', reason: 'deterministic mode' });
expect(parsed.events).toContainEqual({ type: 'stage_skipped', stage: 'actions', reason: 'requires LLM' });
});
it('parses snapshot and closed stream events', () => {
expect(memoryFlowStreamEventSchema.parse({ type: 'snapshot', snapshot: snapshot({ status: 'done' }) })).toEqual({
type: 'snapshot',
snapshot: snapshot({ status: 'done' }),
});
expect(memoryFlowStreamEventSchema.parse({ type: 'closed', status: 'done', errors: [] })).toEqual({
type: 'closed',
status: 'done',
errors: [],
});
});
it('rejects invalid replay status values', () => {
expect(() => memoryFlowReplayInputSchema.parse({ ...snapshot(), status: 'complete' })).toThrow();
});
});