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next-ai-draw-io/tests/unit/validate-diagram-route.test.ts
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// @vitest-environment node
import { simulateReadableStream } from "ai"
import { MockLanguageModelV3 } from "ai/test"
import { afterEach, describe, expect, it, vi } from "vitest"
import { POST as validateDiagram } from "@/app/api/validate-diagram/route"
const RESULT = {
valid: false,
issues: [
{
type: "overlap",
severity: "critical",
description: "Box A covers box B",
},
],
suggestions: ["Move box B to the right"],
}
// A vision model that answers with the JSON in a few text chunks
vi.mock("@/lib/ai-providers", () => ({
getValidationModel: () =>
new MockLanguageModelV3({
doStream: (async () => {
const json = JSON.stringify(RESULT)
return {
stream: simulateReadableStream({
chunks: [
{ type: "text-start", id: "t" },
...[json.slice(0, 20), json.slice(20)].map(
(delta) => ({
type: "text-delta",
id: "t",
delta,
}),
),
{ type: "text-end", id: "t" },
{
type: "finish",
finishReason: { unified: "stop", raw: "stop" },
usage: {
inputTokens: { total: 1 },
outputTokens: { total: 1 },
},
},
],
}),
}
}) as any,
}),
}))
const post = () =>
new Request("http://localhost/api/validate-diagram", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ imageData: "data:image/png;base64,AAAA" }),
})
afterEach(() => {
delete process.env.ENABLE_VLM_VALIDATION
})
describe("POST /api/validate-diagram", () => {
it("streams the model's result as JSON text for useObject", async () => {
const res = await validateDiagram(post())
expect(JSON.parse(await res.text())).toEqual(RESULT)
})
it("answers valid when the check is turned off", async () => {
process.env.ENABLE_VLM_VALIDATION = "false"
const res = await validateDiagram(post())
expect(JSON.parse(await res.text())).toEqual({
valid: true,
issues: [],
suggestions: [],
})
})
})