forked from phoenix/litellm-mirror
73c7b73aa0
* add BaseImageGenTest * use 1 class for unit testing * add debugging to BaseImageGenTest * TestAzureOpenAIDalle3 * fix response_cost_calculator * test_basic_image_generation * fix img gen basic test * fix _select_model_name_for_cost_calc * fix test_aimage_generation_bedrock_with_optional_params * fix undo changes cost tracking * fix response_cost_calculator * fix test_cost_azure_gpt_35
87 lines
3.1 KiB
Python
87 lines
3.1 KiB
Python
import asyncio
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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, Optional
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from unittest.mock import MagicMock, Mock, patch
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import os
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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.exceptions import BadRequestError
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from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
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from litellm.utils import CustomStreamWrapper
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from openai.types.image import Image
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from litellm.integrations.custom_logger import CustomLogger
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from litellm.types.utils import StandardLoggingPayload
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class TestCustomLogger(CustomLogger):
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def __init__(self):
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super().__init__()
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self.standard_logging_payload: Optional[StandardLoggingPayload] = None
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async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
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self.standard_logging_payload = kwargs.get("standard_logging_object")
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pass
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# test_example.py
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from abc import ABC, abstractmethod
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class BaseImageGenTest(ABC):
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"""
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Abstract base test class that enforces a common test across all test classes.
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"""
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@abstractmethod
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def get_base_image_generation_call_args(self) -> dict:
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"""Must return the base image generation call args"""
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pass
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@pytest.mark.asyncio(scope="module")
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async def test_basic_image_generation(self):
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"""Test basic image generation"""
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try:
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custom_logger = TestCustomLogger()
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litellm.callbacks = [custom_logger]
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base_image_generation_call_args = self.get_base_image_generation_call_args()
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litellm.set_verbose = True
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response = await litellm.aimage_generation(
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**base_image_generation_call_args, prompt="A image of a otter"
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)
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print(response)
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await asyncio.sleep(1)
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assert response._hidden_params["response_cost"] is not None
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assert response._hidden_params["response_cost"] > 0
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print("response_cost", response._hidden_params["response_cost"])
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logged_standard_logging_payload = custom_logger.standard_logging_payload
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print("logged_standard_logging_payload", logged_standard_logging_payload)
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assert logged_standard_logging_payload is not None
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assert logged_standard_logging_payload["response_cost"] is not None
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assert logged_standard_logging_payload["response_cost"] > 0
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from openai.types.images_response import ImagesResponse
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ImagesResponse.model_validate(response.model_dump())
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for d in response.data:
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assert isinstance(d, Image)
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print("data in response.data", d)
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assert d.b64_json is not None or d.url is not None
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except litellm.RateLimitError as e:
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pass
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except litellm.ContentPolicyViolationError:
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pass # Azure randomly raises these errors - skip when they occur
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except Exception as e:
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if "Your task failed as a result of our safety system." in str(e):
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pass
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else:
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pytest.fail(f"An exception occurred - {str(e)}")
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