ktx/packages/cli/test/context/sl/tools/sl-read-source.tool.session.test.ts

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2026-05-10 23:12:26 +02:00
import { describe, expect, it, vi } from 'vitest';
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
import type { ToolSession } from '../../../../src/context/tools/tool-session.js';
import { createTouchedSlSources } from '../../../../src/context/tools/touched-sl-sources.js';
import type { ToolContext } from '../../../../src/context/tools/base-tool.js';
import { SlReadSourceTool } from '../../../../src/context/sl/tools/sl-read-source.tool.js';
2026-05-10 23:12:26 +02:00
function makeTool(overrides: Partial<Record<string, any>> = {}) {
const semanticLayerService = {
readSourceFile: vi.fn().mockResolvedValue({ content: 'name: foo_default\n', path: 'default' }),
...overrides.semanticLayerService,
};
const tool = new SlReadSourceTool({
semanticLayerService: semanticLayerService as never,
slSearchService: {} as never,
authorResolver: { resolve: vi.fn() },
});
return { tool, semanticLayerService };
}
function makeContext(overrides: Partial<ToolContext> = {}): ToolContext {
return {
sourceId: 'src',
messageId: 'msg',
userId: 'user',
...overrides,
};
}
function makeSession(overrides: Partial<ToolSession> = {}): ToolSession {
return {
connectionId: '11111111-1111-1111-1111-111111111111',
isWorktreeScoped: true,
preHead: 'base',
touchedSlSources: createTouchedSlSources(),
actions: [],
semanticLayerService: {
readSourceFile: vi.fn().mockResolvedValue({ content: 'name: foo_session\n', path: 'session' }),
} as any,
wikiService: {} as any,
configService: {} as any,
gitService: {} as any,
...overrides,
};
}
describe('SlReadSourceTool - session-scoped reads', () => {
it('reads through context.session.semanticLayerService when a session is present', async () => {
const { tool, semanticLayerService } = makeTool();
const session = makeSession();
const result = await tool.call(
{ connectionId: '11111111-1111-1111-1111-111111111111', sourceName: 'foo' },
makeContext({ session }),
);
expect((session.semanticLayerService as any).readSourceFile).toHaveBeenCalledWith(
'11111111-1111-1111-1111-111111111111',
'foo',
);
expect(semanticLayerService.readSourceFile).not.toHaveBeenCalled();
expect(result.structured.yaml).toContain('foo_session');
});
it('reads through the default service when no session is present', async () => {
const { tool, semanticLayerService } = makeTool();
const result = await tool.call(
{ connectionId: '11111111-1111-1111-1111-111111111111', sourceName: 'foo' },
makeContext(),
);
expect(semanticLayerService.readSourceFile).toHaveBeenCalledWith('11111111-1111-1111-1111-111111111111', 'foo');
expect(result.structured.yaml).toContain('foo_default');
});
});