Files
windmill/ai_evals/adapters/frontend/datatableSqlEngine.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

263 lines
9.4 KiB
TypeScript

import { describe, expect, it } from 'bun:test'
import { applyDatatableSql, type BenchmarkDatatableSeed } from './datatableSqlEngine'
function makeDatatable(): BenchmarkDatatableSeed {
return {
datatable_name: 'main',
schemas: {
public: {
orders: {
columns: { id: 'int4', customer_id: 'int4', total: 'numeric', status: 'text' },
rows: [
{ id: 1, customer_id: 1, total: 42.5, status: 'shipped' },
{ id: 2, customer_id: 2, total: 19.99, status: 'pending' },
{ id: 3, customer_id: 1, total: 88, status: 'shipped' }
]
},
customers: {
columns: { id: 'int4', name: 'text' },
rows: [{ id: 1, name: 'Alice' }]
}
}
}
}
}
describe('SELECT', () => {
it('returns the referenced table rows', () => {
const dt = makeDatatable()
expect(applyDatatableSql(dt, 'SELECT id, name FROM customers').rows).toEqual([
{ id: 1, name: 'Alice' }
])
})
it('falls back to the first table when no known table is referenced', () => {
const dt = makeDatatable()
expect(applyDatatableSql(dt, 'select 1').rows).toHaveLength(3)
})
it('resolves a schema-qualified table', () => {
const dt = makeDatatable()
expect(applyDatatableSql(dt, 'SELECT * FROM public.customers').rows).toEqual([
{ id: 1, name: 'Alice' }
])
})
})
describe('CREATE TABLE', () => {
it('adds a table with parsed columns, skipping table constraints and FK clauses', () => {
const dt = makeDatatable()
const result = applyDatatableSql(
dt,
'CREATE TABLE public.refunds (\n order_id int4 NOT NULL REFERENCES public.orders(id),\n amount numeric(10,2),\n PRIMARY KEY (order_id)\n)'
)
expect(result.rows).toEqual([])
expect(dt.schemas.public.refunds).toEqual({
columns: { order_id: 'int4', amount: 'numeric(10,2)' },
rows: []
})
})
it('defaults an unqualified table to the public schema', () => {
const dt = makeDatatable()
applyDatatableSql(dt, 'CREATE TABLE notes (id int4, body text)')
expect(dt.schemas.public.notes.columns).toEqual({ id: 'int4', body: 'text' })
})
it('is a no-op for an existing table with IF NOT EXISTS', () => {
const dt = makeDatatable()
applyDatatableSql(dt, 'CREATE TABLE IF NOT EXISTS public.orders (x int4)')
expect(Object.keys(dt.schemas.public.orders.columns)).toContain('status')
})
})
describe('DROP TABLE', () => {
it('removes the table', () => {
const dt = makeDatatable()
applyDatatableSql(dt, 'DROP TABLE IF EXISTS public.customers')
expect(dt.schemas.public.customers).toBeUndefined()
})
})
describe('INSERT', () => {
it('appends a row using an explicit column list', () => {
const dt = makeDatatable()
applyDatatableSql(dt, "INSERT INTO customers (id, name) VALUES (2, 'Bob')")
expect(dt.schemas.public.customers.rows).toContainEqual({ id: 2, name: 'Bob' })
})
it('infers columns from the table when none are given, and appends multiple tuples', () => {
const dt = makeDatatable()
applyDatatableSql(dt, "INSERT INTO customers VALUES (2, 'Bob'), (3, 'Carol')")
expect(dt.schemas.public.customers.rows).toHaveLength(3)
})
it('returns the inserted rows when RETURNING is present', () => {
const dt = makeDatatable()
const result = applyDatatableSql(
dt,
"INSERT INTO customers (id, name) VALUES (2, 'Bob') RETURNING *"
)
expect(result.rows).toEqual([{ id: 2, name: 'Bob' }])
})
})
describe('UPDATE', () => {
it('updates only the rows matching an equality WHERE', () => {
const dt = makeDatatable()
const result = applyDatatableSql(
dt,
"UPDATE public.orders SET status = 'shipped' WHERE id = 2"
)
expect(result.rows).toEqual([])
expect(dt.schemas.public.orders.rows?.find((r) => r.id === 2)?.status).toBe('shipped')
expect(dt.schemas.public.orders.rows?.find((r) => r.id === 1)?.status).toBe('shipped')
})
it('strips a Postgres cast in the WHERE value', () => {
const dt = makeDatatable()
applyDatatableSql(dt, "UPDATE orders SET status = 'done' WHERE id = 2::int4")
expect(dt.schemas.public.orders.rows?.find((r) => r.id === 2)?.status).toBe('done')
})
it('matches multiple AND predicates including a numeric literal', () => {
const dt = makeDatatable()
applyDatatableSql(
dt,
"UPDATE orders SET status = 'done' WHERE customer_id = 2 AND total = 19.99"
)
expect(dt.schemas.public.orders.rows?.find((r) => r.id === 2)?.status).toBe('done')
expect(dt.schemas.public.orders.rows?.find((r) => r.id === 1)?.status).toBe('shipped')
})
it('updates every row when there is no WHERE', () => {
const dt = makeDatatable()
applyDatatableSql(dt, "UPDATE orders SET status = 'archived'")
expect(dt.schemas.public.orders.rows?.every((r) => r.status === 'archived')).toBe(true)
})
it('returns the affected rows when RETURNING is present', () => {
const dt = makeDatatable()
const result = applyDatatableSql(
dt,
"UPDATE orders SET status = 'shipped' WHERE id = 2 RETURNING *"
)
expect(result.rows).toHaveLength(1)
expect(result.rows[0]).toMatchObject({ id: 2, status: 'shipped' })
})
it('affects no rows when the WHERE clause cannot be parsed', () => {
const dt = makeDatatable()
applyDatatableSql(dt, "UPDATE orders SET status = 'x' WHERE total > 20")
expect(dt.schemas.public.orders.rows?.some((r) => r.status === 'x')).toBe(false)
})
})
describe('DELETE', () => {
it('removes only the matching rows', () => {
const dt = makeDatatable()
applyDatatableSql(dt, 'DELETE FROM orders WHERE id = 2')
expect(dt.schemas.public.orders.rows?.map((r) => r.id)).toEqual([1, 3])
})
it('returns the removed rows when RETURNING is present', () => {
const dt = makeDatatable()
const result = applyDatatableSql(dt, 'DELETE FROM orders WHERE id = 2 RETURNING *')
expect(result.rows).toEqual([{ id: 2, customer_id: 2, total: 19.99, status: 'pending' }])
})
})
describe('writes are reflected by later reads', () => {
it('UPDATE then SELECT sees the new value (the verify-loop fix)', () => {
const dt = makeDatatable()
applyDatatableSql(dt, "UPDATE orders SET status = 'shipped' WHERE id = 2")
const seen = applyDatatableSql(dt, 'SELECT * FROM orders').rows
expect(seen.find((r) => r.id === 2)?.status).toBe('shipped')
})
it('INSERT then SELECT sees the new row', () => {
const dt = makeDatatable()
applyDatatableSql(dt, "INSERT INTO customers (id, name) VALUES (9, 'Zed')")
const seen = applyDatatableSql(dt, 'SELECT * FROM customers').rows
expect(seen).toContainEqual({ id: 9, name: 'Zed' })
})
it('CREATE then SELECT on the new table returns its (empty) rows', () => {
const dt = makeDatatable()
applyDatatableSql(dt, 'CREATE TABLE public.refunds (order_id int4, amount numeric)')
expect(applyDatatableSql(dt, 'SELECT * FROM refunds').rows).toEqual([])
})
})
describe('system-catalog queries reflect the current tables/columns', () => {
it('lists current tables (including a freshly created one) via information_schema.tables', () => {
const dt = makeDatatable()
applyDatatableSql(dt, 'CREATE TABLE public.refunds (order_id int4)')
const rows = applyDatatableSql(
dt,
"SELECT table_name FROM information_schema.tables WHERE table_name = 'refunds'"
).rows
expect(rows.map((r) => r.table_name)).toContain('refunds')
})
it('does not list a dropped table', () => {
const dt = makeDatatable()
applyDatatableSql(dt, 'DROP TABLE public.customers')
const rows = applyDatatableSql(dt, 'SELECT table_name FROM information_schema.tables').rows
expect(rows.map((r) => r.table_name)).not.toContain('customers')
})
it('reports columns via information_schema.columns', () => {
const dt = makeDatatable()
const rows = applyDatatableSql(
dt,
"SELECT column_name FROM information_schema.columns WHERE table_name = 'orders'"
).rows
expect(rows.map((r) => r.column_name)).toContain('status')
})
})
describe('parser robustness (string/paren-aware splitting)', () => {
it('does not treat the word "returning" inside a string value as a RETURNING clause', () => {
const dt = makeDatatable()
const result = applyDatatableSql(
dt,
"INSERT INTO customers (id, name) VALUES (5, 'is returning soon')"
)
expect(result.rows).toEqual([])
expect(dt.schemas.public.customers.rows).toContainEqual({ id: 5, name: 'is returning soon' })
})
it('does not split on the word "where" inside a SET string value', () => {
const dt = makeDatatable()
applyDatatableSql(dt, "UPDATE orders SET status = 'ship where ordered' WHERE id = 2")
expect(dt.schemas.public.orders.rows?.find((r) => r.id === 2)?.status).toBe('ship where ordered')
expect(dt.schemas.public.orders.rows?.find((r) => r.id === 1)?.status).toBe('shipped')
})
it('keeps INSERT tuples intact when a value contains a function call', () => {
const dt = makeDatatable()
applyDatatableSql(dt, "INSERT INTO customers (id, name) VALUES (6, coalesce(NULL, 'x'))")
expect(dt.schemas.public.customers.rows).toHaveLength(2)
expect(dt.schemas.public.customers.rows?.[1]).toMatchObject({ id: 6 })
})
it('CREATE TABLE ignores a trailing semicolon-separated statement', () => {
const dt = makeDatatable()
applyDatatableSql(
dt,
'CREATE TABLE public.refunds (id int4, amount numeric); INSERT INTO refunds VALUES (1, 5)'
)
expect(dt.schemas.public.refunds.columns).toEqual({ id: 'int4', amount: 'numeric' })
expect(dt.schemas.public.refunds.rows).toEqual([])
})
})
describe('unparseable statements are a safe no-op', () => {
it('returns [] and does not throw', () => {
const dt = makeDatatable()
expect(applyDatatableSql(dt, 'VACUUM ANALYZE').rows).toEqual([])
expect(applyDatatableSql(dt, 'GRANT SELECT ON orders TO someone').rows).toEqual([])
})
})