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https://github.com/DayuanJiang/next-ai-draw-io.git
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45 lines
1.3 KiB
TypeScript
45 lines
1.3 KiB
TypeScript
// @vitest-environment node
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import { describe, expect, it, vi } from "vitest"
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import { POST as logSave } from "@/app/api/log-save/route"
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// A Langfuse client with a trace to attach the save score to
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const batch = vi.fn(async () => ({}))
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vi.mock("@/lib/langfuse", () => ({
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getLangfuseClient: () => ({
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api: {
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trace: { list: async () => ({ data: [{ id: "trace-1" }] }) },
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ingestion: { batch },
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},
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}),
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}))
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function post(body: unknown): Request {
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return new Request("http://localhost/api/log-save", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify(body),
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})
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}
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describe("POST /api/log-save", () => {
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it.each([
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"drawio",
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"png",
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"svg",
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"xmlsvg",
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])("logs a save in %s format", async (format) => {
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const res = await logSave(
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post({ filename: "diagram", format, sessionId: "s1" }),
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)
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expect(res.status).toBe(200)
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expect(await res.json()).toEqual({ success: true, logged: true })
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})
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it("rejects an unknown format", async () => {
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const res = await logSave(
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post({ filename: "diagram", format: "pdf", sessionId: "s1" }),
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)
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expect(res.status).toBe(400)
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})
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})
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