eaa04cd8ce
* fix: use fastuuid helper across the codebase First batch of changes, simple drop in replacement. * second batch of changes * fixed: script mistake on helper file
103 lines
3.5 KiB
Python
103 lines
3.5 KiB
Python
import httpx
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import json
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import pytest
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import sys
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from typing import Any, Dict, List
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from unittest.mock import MagicMock, Mock, patch
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import os
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from litellm._uuid import uuid
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import litellm
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from litellm import transcription
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from litellm.litellm_core_utils.get_supported_openai_params import (
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get_supported_openai_params,
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)
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from litellm.llms.base_llm.audio_transcription.transformation import (
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BaseAudioTranscriptionConfig,
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)
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from litellm.utils import ProviderConfigManager
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from abc import ABC, abstractmethod
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pwd = os.path.dirname(os.path.realpath(__file__))
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print(pwd)
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file_path = os.path.join(pwd, "gettysburg.wav")
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audio_file = open(file_path, "rb")
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class BaseLLMAudioTranscriptionTest(ABC):
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@abstractmethod
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def get_base_audio_transcription_call_args(self) -> dict:
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"""Must return the base audio transcription call args"""
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pass
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@abstractmethod
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def get_custom_llm_provider(self) -> litellm.LlmProviders:
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"""Must return the custom llm provider"""
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pass
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def test_audio_transcription(self):
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"""
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Test that the audio transcription is translated correctly.
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"""
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litellm.set_verbose = True
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transcription_call_args = self.get_base_audio_transcription_call_args()
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transcript = transcription(**transcription_call_args, file=audio_file)
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print(f"transcript: {transcript.model_dump()}")
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print(f"transcript hidden params: {transcript._hidden_params}")
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assert transcript.text is not None
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@pytest.mark.asyncio
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async def test_audio_transcription_async(self):
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"""
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Test that the audio transcription is translated correctly.
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"""
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litellm.set_verbose = True
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litellm._turn_on_debug()
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AUDIO_FILE = open(file_path, "rb")
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transcription_call_args = self.get_base_audio_transcription_call_args()
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transcript = await litellm.atranscription(**transcription_call_args, file=AUDIO_FILE)
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print(f"transcript: {transcript.model_dump()}")
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print(f"transcript hidden params: {transcript._hidden_params}")
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assert transcript.text is not None
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def test_audio_transcription_optional_params(self):
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"""
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Test that the audio transcription is translated correctly.
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"""
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transcription_args = self.get_base_audio_transcription_call_args()
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model = transcription_args["model"]
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custom_llm_provider = self.get_custom_llm_provider()
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optional_params = get_supported_openai_params(
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model=model,
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custom_llm_provider=custom_llm_provider.value,
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request_type="transcription",
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)
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print(f"optional_params: {optional_params}")
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assert optional_params is not None
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assert (
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"max_completion_tokens" not in optional_params
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) # assert default chat completion response not returned
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def test_audio_transcription_config(self):
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"""
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Test that the audio transcription config is implemented and correctly instrumented.
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"""
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transcription_args = self.get_base_audio_transcription_call_args()
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model = transcription_args["model"]
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custom_llm_provider = self.get_custom_llm_provider()
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config = ProviderConfigManager.get_provider_audio_transcription_config(
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model=model,
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provider=custom_llm_provider,
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)
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print(f"config: {config}")
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assert config is not None
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assert isinstance(config, BaseAudioTranscriptionConfig)
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