# What is this?
## unit tests for openai tts endpoint

import sys, os, asyncio, time, random, uuid
import traceback
from dotenv import load_dotenv

load_dotenv()
import os

sys.path.insert(
    0, os.path.abspath("../..")
)  # Adds the parent directory to the system path
import pytest
import litellm, openai
from pathlib import Path


@pytest.mark.parametrize("sync_mode", [True, False])
@pytest.mark.asyncio
async def test_audio_speech_litellm(sync_mode):
    speech_file_path = Path(__file__).parent / "speech.mp3"

    if sync_mode:
        response = litellm.speech(
            model="openai/tts-1",
            voice="alloy",
            input="the quick brown fox jumped over the lazy dogs",
            api_base=None,
            api_key=None,
            organization=None,
            project=None,
            max_retries=1,
            timeout=600,
            client=None,
            optional_params={},
        )

        from litellm.llms.openai import HttpxBinaryResponseContent

        assert isinstance(response, HttpxBinaryResponseContent)
    else:
        response = await litellm.aspeech(
            model="openai/tts-1",
            voice="alloy",
            input="the quick brown fox jumped over the lazy dogs",
            api_base=None,
            api_key=None,
            organization=None,
            project=None,
            max_retries=1,
            timeout=600,
            client=None,
            optional_params={},
        )

        from litellm.llms.openai import HttpxBinaryResponseContent

        assert isinstance(response, HttpxBinaryResponseContent)


@pytest.mark.parametrize("mode", ["iterator"])  # "file",
@pytest.mark.asyncio
async def test_audio_speech_router(mode):
    speech_file_path = Path(__file__).parent / "speech.mp3"

    from litellm import Router

    client = Router(
        model_list=[
            {
                "model_name": "tts",
                "litellm_params": {
                    "model": "openai/tts-1",
                },
            },
        ]
    )

    response = await client.aspeech(
        model="tts",
        voice="alloy",
        input="the quick brown fox jumped over the lazy dogs",
        api_base=None,
        api_key=None,
        organization=None,
        project=None,
        max_retries=1,
        timeout=600,
        client=None,
        optional_params={},
    )

    from litellm.llms.openai import HttpxBinaryResponseContent

    assert isinstance(response, HttpxBinaryResponseContent)