ktx/packages/cli/test/llm/repair.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

93 lines
2.9 KiB
TypeScript

import { NoSuchToolError, type LanguageModel } from 'ai';
import { describe, expect, it, vi } from 'vitest';
import { createKtxToolCallRepairHandler } from '../../src/llm/repair.js';
const repairModel = { modelId: 'claude-repair', provider: 'anthropic' } as LanguageModel;
describe('createKtxToolCallRepairHandler', () => {
it('returns null for NoSuchToolError', async () => {
const handler = createKtxToolCallRepairHandler({
source: 'unit',
getRepairModel: () => repairModel,
generateText: vi.fn(),
});
await expect(
handler({
system: undefined,
messages: [],
toolCall: { type: 'tool-call', toolName: 'missing', toolCallId: 'tc_1', input: '{}' },
tools: {},
inputSchema: async () => ({}),
error: new NoSuchToolError({ toolName: 'missing' }),
}),
).resolves.toBeNull();
});
it('repairs string input by local JSON extraction without an LLM call', async () => {
const generateText = vi.fn();
const handler = createKtxToolCallRepairHandler({
source: 'unit',
getRepairModel: () => repairModel,
generateText,
});
await expect(
handler({
system: undefined,
messages: [],
toolCall: {
type: 'tool-call',
toolName: 'write_source',
toolCallId: 'tc_2',
input: 'prefix {"path":"orders.yaml"} suffix',
},
tools: { write_source: {} as never },
inputSchema: async () => ({ type: 'object' }),
error: new Error('Invalid tool input') as never,
}),
).resolves.toEqual({
type: 'tool-call',
toolName: 'write_source',
toolCallId: 'tc_2',
input: '{"path":"orders.yaml"}',
});
expect(generateText).not.toHaveBeenCalled();
});
it('falls back to the repair model when local extraction fails', async () => {
const generateText = vi.fn().mockResolvedValue({ text: '{"path":"customers.yaml"}' });
const handler = createKtxToolCallRepairHandler({
source: 'unit',
getRepairModel: () => repairModel,
generateText,
});
await expect(
handler({
system: undefined,
messages: [],
toolCall: {
type: 'tool-call',
toolName: 'write_source',
toolCallId: 'tc_3',
input: 'not json',
},
tools: { write_source: {} as never },
inputSchema: async () => ({ type: 'object', properties: { path: { type: 'string' } } }),
error: new Error('Invalid tool input') as never,
}),
).resolves.toEqual({
type: 'tool-call',
toolName: 'write_source',
toolCallId: 'tc_3',
input: '{"path":"customers.yaml"}',
});
expect(generateText).toHaveBeenCalledWith(
expect.objectContaining({
model: repairModel,
prompt: expect.stringContaining('The model tried to call the tool "write_source"'),
}),
);
});
});