ktx/packages/cli/test/context/sql-analysis/http-sql-analysis-port.test.ts
Andrey Avtomonov e70ae1e63b
feat(query-history): scope mining to modeled schemas by default (#258)
* feat(query-history): structure SQL analysis table refs

* feat(query-history): qualify SQL analysis table refs

* feat(query-history): wire modeled scope floor through ingest

* chore(query-history): verify scope floor

* test(query-history): align daemon SQL batch endpoint contract

* feat(query-history): build scope from same-run scan catalog

* feat(query-history): fail open on scope-floor catalog failures

* chore(query-history): verify scope-floor v1 closure

* refactor(query-history): share scope membership

* feat(setup): apply derived query history filters

* docs: document derived query history filters

* fix(query-history): redact filter picker LLM prompt SQL

* fix(setup): run filter picker SQL analysis through managed daemon

* chore(query-history): verify filter picker v1 closure

* fix(query-history): fail open on partial service-account attribution

* fix(query-history): aggregate BigQuery users by execution count

* fix(query-history): aggregate Snowflake users by execution count

* fix(query-history): use BigQuery query info hash
2026-06-03 17:19:42 +02:00

240 lines
7.9 KiB
TypeScript

import { describe, expect, it, vi } from 'vitest';
import { createHttpSqlAnalysisPort } from '../../../src/context/sql-analysis/http-sql-analysis-port.js';
describe('createHttpSqlAnalysisPort', () => {
it('calls the SQL-analysis fingerprint endpoint and maps snake_case response fields', async () => {
const requestJson = vi.fn(async () => ({
fingerprint: 'fingerprint-template',
normalized_sql: 'SELECT * FROM analytics.orders WHERE status = ?',
tables_touched: ['analytics.orders'],
literal_slots: [{ position: 1, type: 'string', example_value: 'paid' }],
}));
const port = createHttpSqlAnalysisPort({ baseUrl: 'http://python.test', requestJson });
await expect(
port.analyzeForFingerprint("SELECT * FROM analytics.orders WHERE status = 'paid'", 'postgres'),
).resolves.toEqual({
fingerprint: 'fingerprint-template',
normalizedSql: 'SELECT * FROM analytics.orders WHERE status = ?',
tablesTouched: ['analytics.orders'],
literalSlots: [{ position: 1, type: 'string', exampleValue: 'paid' }],
});
expect(requestJson).toHaveBeenCalledWith('/api/sql/analyze-for-fingerprint', {
sql: "SELECT * FROM analytics.orders WHERE status = 'paid'",
dialect: 'postgres',
});
});
it('preserves SQL-analysis parse errors in the mapped result', async () => {
const requestJson = vi.fn(async () => ({
fingerprint: '',
normalized_sql: '',
tables_touched: [],
literal_slots: [],
error: 'Invalid expression / Unexpected token',
}));
const port = createHttpSqlAnalysisPort({ baseUrl: 'http://python.test', requestJson });
await expect(port.analyzeForFingerprint('SELECT * FROM WHERE', 'postgres')).resolves.toEqual({
fingerprint: '',
normalizedSql: '',
tablesTouched: [],
literalSlots: [],
error: 'Invalid expression / Unexpected token',
});
});
it('calls the SQL batch endpoint and maps snake_case response fields into a Map', async () => {
const requestJson = vi.fn(async () => ({
results: {
orders: {
tables_touched: [
{ catalog: null, db: 'public', name: 'orders' },
{ catalog: null, db: 'public', name: 'customers' },
],
columns_by_clause: {
select: ['status'],
where: ['created_at'],
join: ['customer_id', 'id'],
},
error: null,
},
broken: {
tables_touched: [],
columns_by_clause: {},
error: 'Invalid expression / Unexpected token',
},
},
}));
const port = createHttpSqlAnalysisPort({ baseUrl: 'http://python.test', requestJson });
await expect(
port.analyzeBatch(
[
{ id: 'orders', sql: 'select status from public.orders' },
{ id: 'broken', sql: 'select * from where' },
],
'postgres',
),
).resolves.toEqual(
new Map([
[
'orders',
{
tablesTouched: [
{ catalog: null, db: 'public', name: 'orders' },
{ catalog: null, db: 'public', name: 'customers' },
],
columnsByClause: {
select: ['status'],
where: ['created_at'],
join: ['customer_id', 'id'],
},
error: null,
},
],
[
'broken',
{
tablesTouched: [],
columnsByClause: {},
error: 'Invalid expression / Unexpected token',
},
],
]),
);
expect(requestJson).toHaveBeenCalledWith('/sql/analyze-batch', {
dialect: 'postgres',
items: [
{ id: 'orders', sql: 'select status from public.orders' },
{ id: 'broken', sql: 'select * from where' },
],
});
});
it('passes an optional catalog and maps structured table refs for SQL batch analysis', async () => {
const requestJson = vi.fn(async () => ({
results: {
orders: {
tables_touched: [
{ catalog: null, db: 'orbit_raw', name: 'accounts' },
{ catalog: 'demo_project', db: 'orbit_analytics', name: 'orders' },
],
columns_by_clause: { select: ['id'] },
error: null,
},
},
}));
const port = createHttpSqlAnalysisPort({ baseUrl: 'http://python.test', requestJson });
await expect(
port.analyzeBatch(
[{ id: 'orders', sql: 'select id from accounts' }],
'postgres',
{
catalog: {
tables: [
{ catalog: null, db: 'orbit_raw', name: 'accounts', columns: ['id'] },
{ catalog: 'demo_project', db: 'orbit_analytics', name: 'orders', columns: ['id'] },
],
},
},
),
).resolves.toEqual(
new Map([
[
'orders',
{
tablesTouched: [
{ catalog: null, db: 'orbit_raw', name: 'accounts' },
{ catalog: 'demo_project', db: 'orbit_analytics', name: 'orders' },
],
columnsByClause: { select: ['id'] },
error: null,
},
],
]),
);
expect(requestJson).toHaveBeenCalledWith('/sql/analyze-batch', {
dialect: 'postgres',
items: [{ id: 'orders', sql: 'select id from accounts' }],
catalog: {
tables: [
{ catalog: null, db: 'orbit_raw', name: 'accounts', columns: ['id'] },
{ catalog: 'demo_project', db: 'orbit_analytics', name: 'orders', columns: ['id'] },
],
},
});
});
it('maps read-only SQL validation responses', async () => {
const requests: Array<{ path: string; payload: Record<string, unknown> }> = [];
const port = createHttpSqlAnalysisPort({
baseUrl: 'http://127.0.0.1:8765',
requestJson: async (path, payload) => {
requests.push({ path, payload });
return { ok: false, error: 'SQL contains read/write operation: Insert' };
},
});
await expect(
port.validateReadOnly('with x as (insert into t values (1)) select * from x', 'postgres'),
).resolves.toEqual({
ok: false,
error: 'SQL contains read/write operation: Insert',
});
expect(requests).toEqual([
{
path: '/sql/validate-read-only',
payload: {
dialect: 'postgres',
sql: 'with x as (insert into t values (1)) select * from x',
},
},
]);
});
it('rejects malformed read-only validation responses', async () => {
const port = createHttpSqlAnalysisPort({
baseUrl: 'http://127.0.0.1:8765',
requestJson: async () => ({ ok: 'yes' }),
});
await expect(port.validateReadOnly('select 1', 'postgres')).rejects.toThrow(
'sql analysis response is missing boolean field ok',
);
});
it('rejects malformed SQL batch responses instead of inventing defaults', async () => {
const requestJson = vi.fn(async () => ({
results: {
orders: {
tables_touched: [{ catalog: null, db: 'public', name: 'orders' }],
columns_by_clause: { select: ['status'], where: [42] },
error: null,
},
},
}));
const port = createHttpSqlAnalysisPort({ baseUrl: 'http://python.test', requestJson });
await expect(port.analyzeBatch([{ id: 'orders', sql: 'select status from public.orders' }], 'postgres')).rejects
.toThrow('sql analysis response is missing string[] field columns_by_clause.where');
});
it('rejects malformed daemon responses instead of inventing defaults', async () => {
const requestJson = vi.fn(async () => ({
fingerprint: 'abc',
normalized_sql: 'SELECT ?',
tables_touched: 'orders',
literal_slots: [],
}));
const port = createHttpSqlAnalysisPort({ baseUrl: 'http://python.test', requestJson });
await expect(port.analyzeForFingerprint('SELECT 1', 'postgres')).rejects.toThrow(
'sql analysis response is missing string[] field tables_touched',
);
});
});