import test from "node:test";
import assert from "node:assert/strict";

const { handleAudioTranscription } = await import("../../open-sse/handlers/audioTranscription.ts");

function buildFile(contents, name, type) {
  return new File([Buffer.from(contents)], name, { type });
}

function immediateTimeout(callback, _ms, ...args) {
  if (typeof callback === "function") callback(...args);
  return 0;
}

test("handleAudioTranscription requires model", async () => {
  const formData = new FormData();
  formData.append("file", buildFile("abc", "audio.wav", "audio/wav"));

  const response = await handleAudioTranscription({ formData, credentials: { apiKey: "x" } });
  const payload = (await response.json()) as any;

  assert.equal(response.status, 400);
  assert.equal(payload.error.message, "model is required");
});

test("handleAudioTranscription requires a file upload", async () => {
  const formData = new FormData();
  formData.append("model", "openai/whisper-1");

  const response = await handleAudioTranscription({ formData, credentials: { apiKey: "x" } });
  const payload = (await response.json()) as any;

  assert.equal(response.status, 400);
  assert.equal(payload.error.message, "file is required");
});

test("handleAudioTranscription proxies OpenAI-compatible multipart requests and forwards optional params", async () => {
  const originalFetch = globalThis.fetch;
  let captured;

  globalThis.fetch = async (url, options = {}) => {
    captured = {
      url: String(url),
      headers: options.headers,
      body: options.body,
    };

    return new Response(JSON.stringify({ text: "hello" }), {
      status: 200,
      headers: { "content-type": "application/json" },
    });
  };

  try {
    const formData = new FormData();
    formData.append("model", "openai/whisper-1");
    formData.append("file", buildFile("abc", "clip.webm", "audio/webm"));
    formData.append("language", "pt");
    formData.append("prompt", "meeting");
    formData.append("response_format", "verbose_json");
    formData.append("temperature", "0.1");
    formData.append("timestamp_granularities[]", "word");

    const response = await handleAudioTranscription({
      formData,
      credentials: { apiKey: "openai-key" },
    });

    assert.equal(response.status, 200);
    assert.equal(captured.url, "https://api.openai.com/v1/audio/transcriptions");
    assert.equal(captured.headers.Authorization, "Bearer openai-key");
    assert.ok(captured.body instanceof Uint8Array);
    assert.match(captured.headers["Content-Type"], /^multipart\/form-data; boundary=/);

    const bodyText = new TextDecoder().decode(captured.body);
    assert.ok(bodyText.includes('name="model"'));
    assert.ok(bodyText.includes("whisper-1"));
    assert.ok(bodyText.includes('name="language"'));
    assert.ok(bodyText.includes("pt"));
    assert.ok(bodyText.includes('name="prompt"'));
    assert.ok(bodyText.includes("meeting"));
    assert.ok(bodyText.includes('name="response_format"'));
    assert.ok(bodyText.includes("verbose_json"));
    assert.ok(bodyText.includes('name="temperature"'));
    assert.ok(bodyText.includes("0.1"));
    assert.ok(bodyText.includes('name="timestamp_granularities[]"'));
    assert.ok(bodyText.includes("word"));
    assert.ok(bodyText.includes('name="file"'));
    assert.ok(bodyText.includes('filename="clip.webm"'));
    assert.deepEqual(await response.json(), { text: "hello" });
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("handleAudioTranscription routes Deepgram with binary upload and language passthrough", async () => {
  const originalFetch = globalThis.fetch;
  let capturedUrl;
  let capturedHeaders;
  let capturedBody;

  globalThis.fetch = async (url, options = {}) => {
    capturedUrl = String(url);
    capturedHeaders = options.headers;
    capturedBody = options.body;

    return new Response(
      JSON.stringify({
        results: {
          channels: [{ alternatives: [{ transcript: "ola mundo" }] }],
        },
      }),
      { status: 200, headers: { "content-type": "application/json" } }
    );
  };

  try {
    const formData = new FormData();
    formData.append("model", "deepgram/nova-3");
    formData.append("file", buildFile("abc", "clip.mp4", "video/mp4"));
    formData.append("language", "pt-BR");

    const response = await handleAudioTranscription({
      formData,
      credentials: { apiKey: "dg-key" },
    });
    const payload = (await response.json()) as any;

    const url = new URL(capturedUrl);
    assert.equal(url.origin + url.pathname, "https://api.deepgram.com/v1/listen");
    assert.equal(url.searchParams.get("model"), "nova-3");
    assert.equal(url.searchParams.get("language"), "pt-BR");
    assert.equal(url.searchParams.get("detect_language"), null);
    assert.equal(capturedHeaders.Authorization, "Token dg-key");
    assert.equal(capturedHeaders["Content-Type"], "audio/mp4");
    assert.ok(capturedBody instanceof ArrayBuffer);
    assert.deepEqual(payload, { text: "ola mundo", noSpeechDetected: false });
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("handleAudioTranscription marks noSpeechDetected when Deepgram returns no transcript", async () => {
  const originalFetch = globalThis.fetch;

  globalThis.fetch = async () =>
    new Response(
      JSON.stringify({
        results: {
          channels: [{ alternatives: [{ transcript: "" }] }],
        },
      }),
      { status: 200, headers: { "content-type": "application/json" } }
    );

  try {
    const formData = new FormData();
    formData.append("model", "deepgram/nova-3");
    formData.append("file", buildFile("abc", "clip.wav", "audio/wav"));

    const response = await handleAudioTranscription({
      formData,
      credentials: { apiKey: "dg-key" },
    });

    assert.deepEqual(await response.json(), { text: "", noSpeechDetected: true });
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("handleAudioTranscription normalizes Nvidia responses to text", async () => {
  const originalFetch = globalThis.fetch;
  let captured;

  globalThis.fetch = async (_url, options = {}) => {
    captured = {
      headers: options.headers,
      body: options.body,
    };

    return new Response(JSON.stringify({ transcript: "nvidia text" }), {
      status: 200,
      headers: { "content-type": "application/json" },
    });
  };

  try {
    for (const [requestModel, upstreamModel] of [
      ["nvidia/nvidia/parakeet-ctc-1.1b-asr", "nvidia/parakeet-ctc-1.1b-asr"],
      ["nvidia/openai/whisper-large-v3", "openai/whisper-large-v3"],
    ]) {
      const formData = new FormData();
      formData.append("model", requestModel);
      formData.append("file", buildFile("abc", "clip.wav", "audio/wav"));

      const response = await handleAudioTranscription({
        formData,
        credentials: { apiKey: "nvidia-key" },
      });

      assert.equal(captured.headers.Authorization, "Bearer nvidia-key");
      assert.ok(captured.body instanceof Uint8Array);
      assert.match(captured.headers["Content-Type"], /^multipart\/form-data; boundary=/);

      const bodyText = new TextDecoder().decode(captured.body);
      assert.ok(bodyText.includes('name="file"'));
      assert.ok(bodyText.includes('filename="clip.wav"'));
      assert.ok(bodyText.includes('name="model"'));
      assert.ok(bodyText.includes(upstreamModel));
      assert.deepEqual(await response.json(), { text: "nvidia text" });
    }
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("handleAudioTranscription rejects invalid HuggingFace model paths", async () => {
  const formData = new FormData();
  formData.append("model", "huggingface/../escape");
  formData.append("file", buildFile("abc", "clip.wav", "audio/wav"));

  const response = await handleAudioTranscription({
    formData,
    credentials: { apiKey: "hf-key" },
  });
  const payload = (await response.json()) as any;

  assert.equal(response.status, 400);
  assert.equal(payload.error.message, "Invalid model ID");
});

test("handleAudioTranscription requires credentials for authenticated providers", async () => {
  const formData = new FormData();
  formData.append("model", "openai/whisper-1");
  formData.append("file", buildFile("abc", "clip.wav", "audio/wav"));

  const response = await handleAudioTranscription({ formData, credentials: null });
  const payload = (await response.json()) as any;

  assert.equal(response.status, 401);
  assert.equal(payload.error.message, "No credentials for transcription provider: openai");
});

test("handleAudioTranscription routes AssemblyAI uploads and polls until completion", async () => {
  const originalFetch = globalThis.fetch;
  const originalSetTimeout = globalThis.setTimeout;
  const calls = [];

  globalThis.setTimeout = immediateTimeout;
  globalThis.fetch = async (url, options = {}) => {
    const stringUrl = String(url);
    calls.push({ url: stringUrl, method: options?.method || "GET" });

    if (stringUrl === "https://api.assemblyai.com/v2/upload") {
      assert.ok(options.body instanceof ArrayBuffer);
      return new Response(JSON.stringify({ upload_url: "https://upload.example.com/audio.wav" }), {
        status: 200,
        headers: { "content-type": "application/json" },
      });
    }

    if (stringUrl === "https://api.assemblyai.com/v2/transcript") {
      const payload = JSON.parse(String(options.body || "{}"));
      assert.deepEqual(payload, {
        audio_url: "https://upload.example.com/audio.wav",
        speech_models: ["universal-3-pro"],
        language_detection: true,
      });
      return new Response(JSON.stringify({ id: "transcript-1" }), {
        status: 200,
        headers: { "content-type": "application/json" },
      });
    }

    if (stringUrl === "https://api.assemblyai.com/v2/transcript/transcript-1") {
      return new Response(JSON.stringify({ status: "completed", text: "assembly result" }), {
        status: 200,
        headers: { "content-type": "application/json" },
      });
    }

    throw new Error(`Unexpected URL: ${stringUrl}`);
  };

  try {
    const formData = new FormData();
    formData.append("model", "assemblyai/universal-3-pro");
    formData.append("file", buildFile("abc", "clip.wav", "audio/wav"));

    const response = await handleAudioTranscription({
      formData,
      credentials: { apiKey: "assembly-key" },
    });

    assert.deepEqual(await response.json(), { text: "assembly result" });
    assert.deepEqual(
      calls.map((entry) => entry.url),
      [
        "https://api.assemblyai.com/v2/upload",
        "https://api.assemblyai.com/v2/transcript",
        "https://api.assemblyai.com/v2/transcript/transcript-1",
      ]
    );
  } finally {
    globalThis.fetch = originalFetch;
    globalThis.setTimeout = originalSetTimeout;
  }
});

test("handleAudioTranscription returns an error when AssemblyAI reports a terminal failure", async () => {
  const originalFetch = globalThis.fetch;
  const originalSetTimeout = globalThis.setTimeout;

  globalThis.setTimeout = immediateTimeout;
  globalThis.fetch = async (url) => {
    const stringUrl = String(url);

    if (stringUrl === "https://api.assemblyai.com/v2/upload") {
      return new Response(JSON.stringify({ upload_url: "https://upload.example.com/audio.wav" }), {
        status: 200,
        headers: { "content-type": "application/json" },
      });
    }

    if (stringUrl === "https://api.assemblyai.com/v2/transcript") {
      return new Response(JSON.stringify({ id: "transcript-2" }), {
        status: 200,
        headers: { "content-type": "application/json" },
      });
    }

    if (stringUrl === "https://api.assemblyai.com/v2/transcript/transcript-2") {
      return new Response(JSON.stringify({ status: "error", error: "corrupt audio payload" }), {
        status: 200,
        headers: { "content-type": "application/json" },
      });
    }

    throw new Error(`Unexpected URL: ${stringUrl}`);
  };

  try {
    const formData = new FormData();
    formData.append("model", "assemblyai/universal-2");
    formData.append("file", buildFile("abc", "clip.wav", "audio/wav"));

    const response = await handleAudioTranscription({
      formData,
      credentials: { apiKey: "assembly-key" },
    });
    const payload = (await response.json()) as any;

    assert.equal(response.status, 500);
    assert.equal(payload.error.message, "corrupt audio payload");
  } finally {
    globalThis.fetch = originalFetch;
    globalThis.setTimeout = originalSetTimeout;
  }
});

test("handleAudioTranscription routes HuggingFace providers with raw audio uploads", async () => {
  const originalFetch = globalThis.fetch;
  let capturedUrl;
  let capturedHeaders;
  let capturedBody;

  globalThis.fetch = async (url, options = {}) => {
    capturedUrl = String(url);
    capturedHeaders = options.headers;
    capturedBody = options.body;

    return new Response(JSON.stringify({ text: "huggingface transcript" }), {
      status: 200,
      headers: { "content-type": "application/json" },
    });
  };

  try {
    const formData = new FormData();
    formData.append("model", "huggingface/openai/whisper-large-v3");
    formData.append("file", buildFile("abc", "clip.mp3", "audio/mpeg"));

    const response = await handleAudioTranscription({
      formData,
      credentials: { apiKey: "hf-key" },
    });

    assert.equal(
      capturedUrl,
      "https://api-inference.huggingface.co/models/openai/whisper-large-v3"
    );
    assert.equal(capturedHeaders.Authorization, "Bearer hf-key");
    assert.equal(capturedHeaders["Content-Type"], "audio/mpeg");
    assert.ok(capturedBody instanceof ArrayBuffer);
    assert.deepEqual(await response.json(), { text: "huggingface transcript" });
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("handleAudioTranscription rejects unsupported providers", async () => {
  const formData = new FormData();
  formData.append("model", "unknown/provider");
  formData.append("file", buildFile("abc", "clip.wav", "audio/wav"));

  const response = await handleAudioTranscription({
    formData,
    credentials: { apiKey: "x" },
  });
  const payload = (await response.json()) as any;

  assert.equal(response.status, 400);
  assert.match(
    payload.error.message,
    /No transcription provider found for model "unknown\/provider"/
  );
});

test("handleAudioTranscription surfaces parsed upstream errors for OpenAI-compatible providers", async () => {
  const originalFetch = globalThis.fetch;

  globalThis.fetch = async () =>
    new Response(JSON.stringify({ error: { message: "too many requests" } }), {
      status: 429,
      headers: { "content-type": "application/json" },
    });

  try {
    const formData = new FormData();
    formData.append("model", "openai/whisper-1");
    formData.append("file", buildFile("abc", "clip.wav", "audio/wav"));

    const response = await handleAudioTranscription({
      formData,
      credentials: { apiKey: "openai-key" },
    });
    const payload = (await response.json()) as any;

    assert.equal(response.status, 429);
    assert.equal(payload.error.message, "too many requests");
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("handleAudioTranscription returns a 500 when upstream fetch throws", async () => {
  const originalFetch = globalThis.fetch;

  globalThis.fetch = async () => {
    throw new Error("network timeout");
  };

  try {
    const formData = new FormData();
    formData.append("model", "openai/whisper-1");
    formData.append("file", buildFile("abc", "clip.wav", "audio/wav"));

    const response = await handleAudioTranscription({
      formData,
      credentials: { apiKey: "openai-key" },
    });
    const payload = (await response.json()) as any;

    assert.equal(response.status, 500);
    assert.equal(payload.error.message, "Transcription request failed: network timeout");
  } finally {
    globalThis.fetch = originalFetch;
  }
});

test("buildMultipartBody produces valid multipart with correct boundary", async () => {
  const { buildMultipartBody } = await import("../../open-sse/handlers/audioTranscription.ts");
  const file = new File([Buffer.from("hello")], "audio.wav", { type: "audio/wav" });
  const { body, contentType } = await buildMultipartBody(file, {
    model: "whisper-1",
    language: "en",
  });

  assert.ok(body instanceof Uint8Array);
  assert.match(contentType, /^multipart\/form-data; boundary=/);

  const boundary = contentType.split("boundary=")[1];
  const bodyText = new TextDecoder().decode(body);

  assert.ok(bodyText.startsWith("--" + boundary));
  assert.ok(bodyText.endsWith("--" + boundary + "--\r\n"));
  assert.ok(bodyText.includes('name="model"'));
  assert.ok(bodyText.includes("whisper-1"));
  assert.ok(bodyText.includes('name="language"'));
  assert.ok(bodyText.includes("en"));
  assert.ok(bodyText.includes('name="file"'));
  assert.ok(bodyText.includes('filename="audio.wav"'));
  assert.ok(bodyText.includes("Content-Type: audio/wav"));
  assert.ok(bodyText.includes("hello"));
});

test("buildMultipartBody sanitizes filename with quotes and newlines", async () => {
  const { buildMultipartBody } = await import("../../open-sse/handlers/audioTranscription.ts");
  const rawName = 'bad"name\r\n.wav';
  const file = new File([Buffer.from("x")], rawName, { type: "audio/wav" });
  const { body } = await buildMultipartBody(file, { model: "test" });

  const bodyText = new TextDecoder().decode(body);
  assert.ok(bodyText.includes('filename="bad_name__.wav"'));
  assert.ok(!bodyText.includes(rawName));
});

test("buildMultipartBody defaults to audio.wav for unnamed files", async () => {
  const { buildMultipartBody } = await import("../../open-sse/handlers/audioTranscription.ts");
  const file = new File([Buffer.from("x")], "", { type: "audio/wav" });
  const { body } = await buildMultipartBody(file, { model: "test" });

  const bodyText = new TextDecoder().decode(body);
  assert.ok(bodyText.includes('filename="audio.wav"'));
});

test("buildMultipartBody uses application/octet-stream for unknown MIME types", async () => {
  const { buildMultipartBody } = await import("../../open-sse/handlers/audioTranscription.ts");
  const file = new File([Buffer.from("x")], "data.bin", { type: "" });
  const { body } = await buildMultipartBody(file, { model: "test" });

  const bodyText = new TextDecoder().decode(body);
  assert.ok(bodyText.includes("Content-Type: application/octet-stream"));
});