Files
windmill/ai_evals/adapters/frontend/mockBackendDatatables.test.ts
centdix 343368fb5e test: add datatable tool coverage to global AI evals (#9398)
* test: add datatable tool coverage to global ai_evals (stage 0+1)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test: add seeded datatable difficulty-ladder global ai_evals (stage 2)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test: skipJudge datatable evals and make stringIncludesAnyOf existential

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test: make ai_evals datatable mock reflect SQL writes

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-03 10:34:37 +00:00

176 lines
5.4 KiB
TypeScript

import { afterEach, beforeEach, describe, expect, it } from 'bun:test'
import {
getBenchmarkCompletedJobResultMaybe,
getBenchmarkDatatableSchema,
listBenchmarkDatatables,
registerBenchmarkWorkspaceRunnables,
resetBenchmarkMockBackend,
runBenchmarkDatatableSql,
type BenchmarkWorkspaceRunnables
} from './mockBackend'
const WORKSPACE = 'benchmark-datatable-ws'
// Mirrors the production `isDatatableNotConfiguredError` regex in
// datatableTools.ts. The schema mock's "not configured" message MUST match it,
// otherwise the not-configured mapping in get_datatable_table_schema is silently
// untested.
const NOT_CONFIGURED_RE = /datatable\s+\S+\s+not found/i
const SEED: BenchmarkWorkspaceRunnables = {
datatables: [
{
datatable_name: 'main',
schemas: {
public: {
orders: {
columns: { id: 'int', total: 'numeric' },
rows: [
{ id: 1, total: 10 },
{ id: 2, total: 20 }
]
},
customers: {
columns: { id: 'int', name: 'text' },
rows: [{ id: 1, name: 'alice' }]
}
}
}
}
]
}
beforeEach(() => resetBenchmarkMockBackend())
afterEach(() => resetBenchmarkMockBackend())
describe('listBenchmarkDatatables', () => {
it('returns null for a non-benchmark workspace (caller falls through to real backend)', () => {
expect(listBenchmarkDatatables('unregistered')).toBeNull()
})
it('returns [] for a registered workspace with no datatables seed', () => {
registerBenchmarkWorkspaceRunnables(WORKSPACE, {})
expect(listBenchmarkDatatables(WORKSPACE)).toEqual([])
})
it('projects seeded datatables to schema -> table names only (no columns)', () => {
registerBenchmarkWorkspaceRunnables(WORKSPACE, SEED)
expect(listBenchmarkDatatables(WORKSPACE)).toEqual([
{ datatable_name: 'main', schemas: { public: ['orders', 'customers'] } }
])
})
})
describe('getBenchmarkDatatableSchema', () => {
beforeEach(() => registerBenchmarkWorkspaceRunnables(WORKSPACE, SEED))
it('returns the columns for a seeded table', () => {
expect(
getBenchmarkDatatableSchema({
workspace: WORKSPACE,
datatableName: 'main',
schemaName: 'public',
tableName: 'orders'
})
).toEqual({
datatable_name: 'main',
schema_name: 'public',
table_name: 'orders',
columns: { id: 'int', total: 'numeric' }
})
})
it('throws a not-configured error matching the production regex for an unknown datatable', () => {
let error: Error | undefined
try {
getBenchmarkDatatableSchema({
workspace: WORKSPACE,
datatableName: 'ghost',
schemaName: 'public',
tableName: 'orders'
})
} catch (e) {
error = e as Error
}
expect(error).toBeDefined()
expect(error!.message).toMatch(NOT_CONFIGURED_RE)
})
it('throws a table-not-found error that does NOT match the datatable-not-configured regex', () => {
// The datatable IS configured; only the table is missing. Production maps
// this to a generic "error getting schema", not the blocking message.
let error: Error | undefined
try {
getBenchmarkDatatableSchema({
workspace: WORKSPACE,
datatableName: 'main',
schemaName: 'public',
tableName: 'ghost'
})
} catch (e) {
error = e as Error
}
expect(error).toBeDefined()
expect(error!.message).not.toMatch(NOT_CONFIGURED_RE)
})
})
describe('runBenchmarkDatatableSql + getBenchmarkCompletedJobResultMaybe', () => {
beforeEach(() => registerBenchmarkWorkspaceRunnables(WORKSPACE, SEED))
function exec(sql: string): { success: boolean; completed: boolean; result: unknown } {
const jobId = runBenchmarkDatatableSql({ workspace: WORKSPACE, datatableName: 'main', sql })
return getBenchmarkCompletedJobResultMaybe({ workspace: WORKSPACE, id: jobId })
}
it('returns the canned rows of the table named in a SELECT FROM clause', () => {
expect(exec('SELECT * FROM customers')).toEqual({
success: true,
completed: true,
result: [{ id: 1, name: 'alice' }]
})
})
it('falls back to the first seeded table when the SELECT references no known table', () => {
expect(exec('select 1').result).toEqual([
{ id: 1, total: 10 },
{ id: 2, total: 20 }
])
})
it('returns [] success for DDL and DML statements without RETURNING', () => {
expect(exec('CREATE TABLE foo (id int)').result).toEqual([])
expect(exec('INSERT INTO orders VALUES (3, 30)').result).toEqual([])
expect(exec('update orders set total = 0').result).toEqual([])
})
it('reflects a write in a later SELECT, isolated from the shared seed', () => {
exec('UPDATE orders SET total = 999 WHERE id = 1')
expect((exec('SELECT * FROM orders').result as Record<string, unknown>[])).toContainEqual({
id: 1,
total: 999
})
// Registration deep-clones the seed, so the shared SEED const stays pristine.
expect(SEED.datatables![0].schemas.public.orders.rows).toContainEqual({ id: 1, total: 10 })
})
it('reflects a CREATE in list_datatables and get_datatable_table_schema', () => {
exec('CREATE TABLE public.refunds (order_id int4, amount numeric)')
expect(listBenchmarkDatatables(WORKSPACE)?.[0].schemas.public).toContain('refunds')
expect(
getBenchmarkDatatableSchema({
workspace: WORKSPACE,
datatableName: 'main',
schemaName: 'public',
tableName: 'refunds'
}).columns
).toEqual({ order_id: 'int4', amount: 'numeric' })
})
it('throws for an unknown job id', () => {
expect(() =>
getBenchmarkCompletedJobResultMaybe({ workspace: WORKSPACE, id: 'does-not-exist' })
).toThrow()
})
})