mirror of
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
70 lines
2.9 KiB
TypeScript
70 lines
2.9 KiB
TypeScript
import { describe, expect, it } from 'vitest';
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import {
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buildMemoryFlowVisualModel,
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memoryFlowStatusBadge,
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renderMemoryFlowConnectorLine,
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} from '../../../../src/context/ingest/memory-flow/visuals.js';
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import type { MemoryFlowViewModel } from '../../../../src/context/ingest/memory-flow/types.js';
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function viewWithStatuses(statuses: Array<'waiting' | 'active' | 'complete' | 'warning' | 'failed'>): MemoryFlowViewModel {
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const titles = ['SOURCE', 'CHUNKS', 'WORKUNITS', 'ACTIONS', 'GATES', 'SAVED'];
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const ids = ['source', 'chunks', 'workUnits', 'actions', 'gates', 'saved'] as const;
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return {
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title: 'KTX memory flow warehouse/metricflow running',
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subtitle: 'Run run-1 Sync sync-1',
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status: 'running',
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activeLine: 'active: WorkUnit orders',
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selectedTitle: 'WORKUNITS',
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selectedDetails: ['orders: 1 raw, 0 peers, 1 deps'],
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completionLine: null,
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trustIssues: [],
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details: { actions: [], provenance: [], transcripts: [] },
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columns: statuses.map((status, index) => ({
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id: ids[index],
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title: titles[index],
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status,
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headline: `${titles[index].toLowerCase()} headline`,
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counters: [],
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chips: [],
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details: [],
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})),
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};
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}
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describe('memory-flow visual helpers', () => {
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it('uses ASCII badges with text meaning for every status', () => {
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expect(memoryFlowStatusBadge('waiting')).toEqual({ label: '..', text: 'waiting' });
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expect(memoryFlowStatusBadge('active')).toEqual({ label: '>>', text: 'active' });
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expect(memoryFlowStatusBadge('complete')).toEqual({ label: 'OK', text: 'complete' });
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expect(memoryFlowStatusBadge('warning')).toEqual({ label: '!!', text: 'warning' });
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expect(memoryFlowStatusBadge('failed')).toEqual({ label: 'XX', text: 'failed' });
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});
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it('renders a no-color connector line with status badges and six columns', () => {
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const view = viewWithStatuses(['complete', 'complete', 'active', 'waiting', 'waiting', 'waiting']);
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expect(renderMemoryFlowConnectorLine(view)).toBe(
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'OK SOURCE -> OK CHUNKS -> >> WORKUNITS -> .. ACTIONS -> .. GATES -> .. SAVED',
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);
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});
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it('moves the pulse to the active column, then warnings, failures, and the last completed column', () => {
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expect(
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buildMemoryFlowVisualModel(viewWithStatuses(['complete', 'complete', 'active', 'waiting', 'waiting', 'waiting']))
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.pulseColumnId,
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).toBe('workUnits');
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expect(
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buildMemoryFlowVisualModel(viewWithStatuses(['complete', 'warning', 'complete', 'waiting', 'waiting', 'waiting']))
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.pulseColumnId,
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).toBe('chunks');
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expect(
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buildMemoryFlowVisualModel(viewWithStatuses(['complete', 'complete', 'failed', 'waiting', 'waiting', 'waiting']))
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.pulseColumnId,
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).toBe('workUnits');
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expect(
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buildMemoryFlowVisualModel(viewWithStatuses(['complete', 'complete', 'complete', 'complete', 'waiting', 'waiting']))
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.pulseColumnId,
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).toBe('actions');
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});
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});
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