// Xai tests cover stt plugin behavior.
import { describe, expect, it, vi } from "vitest";
import {
  buildXaiMediaUnderstandingProvider,
  transcribeXaiAudio,
  XAI_DEFAULT_STT_MODEL,
} from "./stt.js";

const { postTranscriptionRequestMock } = vi.hoisted(() => ({
  postTranscriptionRequestMock: vi.fn(
    async (_params: { headers: Headers; body: BodyInit; url: string; timeoutMs?: number }) => ({
      response: new Response(JSON.stringify({ text: "hello from audio" }), { status: 200 }),
      release: vi.fn(),
    }),
  ),
}));

function requireLastPostTranscriptionCall(): {
  url?: string;
  timeoutMs?: number;
  auditContext?: string;
  headers: Headers;
  body: BodyInit;
} {
  const params = (postTranscriptionRequestMock.mock.calls as unknown as Array<[unknown]>).at(
    -1,
  )?.[0] as
    | {
        url?: string;
        timeoutMs?: number;
        auditContext?: string;
        headers?: Headers;
        body?: BodyInit;
      }
    | undefined;
  if (!params?.headers || !params.body) {
    throw new Error("Expected transcription request params");
  }
  return {
    ...params,
    headers: params.headers,
    body: params.body,
  };
}

vi.mock("openclaw/plugin-sdk/provider-http", async (importOriginal) => {
  const actual = await importOriginal<typeof import("openclaw/plugin-sdk/provider-http")>();
  return {
    ...actual,
    postTranscriptionRequest: postTranscriptionRequestMock,
  };
});

describe("xai stt", () => {
  it("posts audio files to the xAI STT endpoint", async () => {
    const result = await transcribeXaiAudio({
      buffer: Buffer.from("audio-bytes"),
      fileName: "sample.wav",
      mime: "audio/wav",
      apiKey: "xai-key",
      baseUrl: "https://api.x.ai/v1/",
      model: XAI_DEFAULT_STT_MODEL,
      language: "en",
      prompt: "ignored provider hint",
      timeoutMs: 10_000,
    });

    expect(result).toEqual({ text: "hello from audio", model: XAI_DEFAULT_STT_MODEL });
    const call = requireLastPostTranscriptionCall();
    expect(call.url).toBe("https://api.x.ai/v1/stt");
    expect(call.timeoutMs).toBe(10_000);
    expect(call.auditContext).toBe("xai stt");
    expect(call.headers.get("authorization")).toBe("Bearer xai-key");
    expect(call.body).toBeInstanceOf(FormData);
    const form = call.body as FormData;
    expect(form.get("model")).toBe(XAI_DEFAULT_STT_MODEL);
    expect(form.get("language")).toBe("en");
    expect(form.get("prompt")).toBeNull();
    expect(form.get("file")).toBeInstanceOf(Blob);
  });

  it("registers as an audio media-understanding provider", () => {
    const provider = buildXaiMediaUnderstandingProvider();
    expect(provider.id).toBe("xai");
    expect(provider.capabilities).toEqual(["audio"]);
    expect(provider.defaultModels).toEqual({ audio: XAI_DEFAULT_STT_MODEL });
    expect(provider.autoPriority).toEqual({ audio: 25 });
  });

  it("trusts the core-resolved apiKey on transcribeAudio (no plugin-side OAuth fallback)", async () => {
    const provider = buildXaiMediaUnderstandingProvider();
    if (!provider.transcribeAudio) {
      throw new Error("xAI media-understanding provider should register transcribeAudio");
    }
    await provider.transcribeAudio({
      buffer: Buffer.from("audio-bytes"),
      fileName: "sample.wav",
      mime: "audio/wav",
      apiKey: "core-resolved-bearer",
      baseUrl: "https://api.x.ai/v1/",
      model: XAI_DEFAULT_STT_MODEL,
      timeoutMs: 10_000,
    });
    const call = requireLastPostTranscriptionCall();
    expect(call.headers.get("authorization")).toBe("Bearer core-resolved-bearer");
  });
});