ktx/packages/cli/test/managed-python-http.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

205 lines
6.9 KiB
TypeScript

import { describe, expect, it, vi } from 'vitest';
import {
createManagedDaemonHttpJsonRunner,
createManagedDaemonLookerTableIdentifierParser,
createManagedDaemonSqlAnalysisPort,
createManagedPythonDaemonBaseUrlResolver,
managedDaemonDatabaseIntrospectionOptions,
} from '../src/managed-python-http.js';
function io() {
let stderr = '';
return {
io: {
stdout: { write: vi.fn() },
stderr: { write: (chunk: string) => (stderr += chunk) },
},
stderr: () => stderr,
};
}
describe('createManagedPythonDaemonBaseUrlResolver', () => {
it('ensures the core runtime, starts the daemon, reports the URL, and caches the result', async () => {
const testIo = io();
const ensureRuntime = vi.fn(async () => ({
layout: {} as never,
manifest: {} as never,
}));
const startDaemon = vi.fn(async () => ({
status: 'started' as const,
layout: {} as never,
state: { pid: 1234 } as never,
baseUrl: 'http://127.0.0.1:61234',
}));
const resolveBaseUrl = createManagedPythonDaemonBaseUrlResolver({
cliVersion: '0.2.0',
projectDir: '/work/proj',
installPolicy: 'auto',
io: testIo.io,
ensureRuntime,
startDaemon,
});
await expect(resolveBaseUrl()).resolves.toBe('http://127.0.0.1:61234');
await expect(resolveBaseUrl()).resolves.toBe('http://127.0.0.1:61234');
expect(ensureRuntime).toHaveBeenCalledTimes(1);
expect(ensureRuntime).toHaveBeenCalledWith({
cliVersion: '0.2.0',
installPolicy: 'auto',
io: testIo.io,
feature: 'core',
});
expect(startDaemon).toHaveBeenCalledTimes(1);
expect(startDaemon).toHaveBeenCalledWith({
cliVersion: '0.2.0',
projectDir: '/work/proj',
features: ['core'],
force: false,
});
expect(testIo.stderr()).toContain('Started KTX daemon: http://127.0.0.1:61234');
});
it('reports daemon reuse without reinstalling after the first resolved URL', async () => {
const testIo = io();
const ensureRuntime = vi.fn(async () => ({
layout: {} as never,
manifest: {} as never,
}));
const startDaemon = vi.fn(async () => ({
status: 'reused' as const,
layout: {} as never,
state: { pid: 1234 } as never,
baseUrl: 'http://127.0.0.1:61234',
}));
const resolveBaseUrl = createManagedPythonDaemonBaseUrlResolver({
cliVersion: '0.2.0',
projectDir: '/work/proj',
installPolicy: 'never',
io: testIo.io,
ensureRuntime,
startDaemon,
});
await expect(resolveBaseUrl()).resolves.toBe('http://127.0.0.1:61234');
await expect(resolveBaseUrl()).resolves.toBe('http://127.0.0.1:61234');
expect(ensureRuntime).toHaveBeenCalledTimes(1);
expect(startDaemon).toHaveBeenCalledTimes(1);
expect(testIo.stderr()).toContain('Using existing KTX daemon: http://127.0.0.1:61234');
});
});
describe('createManagedDaemonHttpJsonRunner', () => {
it('resolves the managed base URL lazily for each HTTP JSON request', async () => {
const postJson = vi.fn(async () => ({ ok: true }));
const runner = createManagedDaemonHttpJsonRunner({
resolveBaseUrl: async () => 'http://127.0.0.1:61234',
postJson,
});
await expect(runner('/sql/parse-table-identifier', { items: [] })).resolves.toEqual({ ok: true });
expect(postJson).toHaveBeenCalledWith('http://127.0.0.1:61234', '/sql/parse-table-identifier', { items: [] });
});
});
describe('KTX daemon ingest ports', () => {
it('creates a Looker table parser backed by the KTX daemon runner', async () => {
const requestJson = vi.fn(async () => ({
results: {
'model.explore': {
ok: true,
catalog: 'warehouse',
schema: 'public',
name: 'orders',
canonical_table: 'public.orders',
},
},
}));
const parser = createManagedDaemonLookerTableIdentifierParser({ requestJson });
await expect(
parser.parse([{ key: 'model.explore', sql_table_name: 'public.orders', dialect: 'postgres' }]),
).resolves.toEqual({
'model.explore': {
ok: true,
catalog: 'warehouse',
schema: 'public',
name: 'orders',
canonical_table: 'public.orders',
},
});
expect(requestJson).toHaveBeenCalledWith('/sql/parse-table-identifier', {
items: [{ key: 'model.explore', sql_table_name: 'public.orders', dialect: 'postgres' }],
});
});
it('creates a SQL analysis port backed by the KTX daemon runner', async () => {
const requestJson = vi.fn(async () => ({
fingerprint: 'select-orders',
normalized_sql: 'SELECT * FROM public.orders WHERE id = ?',
tables_touched: ['public.orders'],
literal_slots: [{ position: 1, type: 'number', example_value: '42' }],
}));
const sqlAnalysis = createManagedDaemonSqlAnalysisPort({ requestJson });
await expect(sqlAnalysis.analyzeForFingerprint('SELECT * FROM public.orders WHERE id = 42', 'postgres')).resolves
.toEqual({
fingerprint: 'select-orders',
normalizedSql: 'SELECT * FROM public.orders WHERE id = ?',
tablesTouched: ['public.orders'],
literalSlots: [{ position: 1, type: 'number', exampleValue: '42' }],
});
expect(requestJson).toHaveBeenCalledWith('/api/sql/analyze-for-fingerprint', {
sql: 'SELECT * FROM public.orders WHERE id = 42',
dialect: 'postgres',
});
});
it('routes SQL batch analysis through the KTX daemon runner', async () => {
const requestJson = vi.fn(async () => ({
results: {
orders: {
tables_touched: ['public.orders'],
columns_by_clause: { select: ['status'] },
error: null,
},
},
}));
const sqlAnalysis = createManagedDaemonSqlAnalysisPort({ requestJson });
await expect(sqlAnalysis.analyzeBatch([{ id: 'orders', sql: 'select status from public.orders' }], 'postgres'))
.resolves.toEqual(
new Map([
[
'orders',
{
tablesTouched: ['public.orders'],
columnsByClause: { select: ['status'] },
error: null,
},
],
]),
);
expect(requestJson).toHaveBeenCalledWith('/sql/analyze-batch', {
dialect: 'postgres',
items: [{ id: 'orders', sql: 'select status from public.orders' }],
});
});
it('returns live-database daemon request options backed by the managed runner', async () => {
const requestJson = vi.fn(async () => ({
connection_id: 'warehouse',
tables: [],
}));
const options = managedDaemonDatabaseIntrospectionOptions({ requestJson });
expect(options.requestJson).toBeDefined();
await expect(options.requestJson?.('/database/introspect', { connection_id: 'warehouse' })).resolves.toEqual({
connection_id: 'warehouse',
tables: [],
});
expect(requestJson).toHaveBeenCalledWith('/database/introspect', { connection_id: 'warehouse' });
});
});