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6a0d03914c
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
119 lines
4.4 KiB
Python
119 lines
4.4 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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from typing import Any, Dict, List, Optional
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from unittest.mock import MagicMock, Mock, patch
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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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litellm._turn_on_debug()
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custom_logger = TestCustomLogger()
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litellm.logging_callback_manager._reset_all_callbacks()
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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("FAL AI RESPONSE: ", 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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import openai
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from openai.types.images_response import ImagesResponse
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# print openai version
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print("openai version=", openai.__version__)
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response_dict = dict(response)
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if "usage" in response_dict:
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response_dict["usage"] = dict(response_dict["usage"])
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print("response usage=", response_dict.get("usage"))
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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 litellm.InternalServerError:
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pass
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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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elif "ModelDeprecated" in str(e):
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pass # Azure model deployment has been deprecated - skip
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else:
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pytest.fail(f"An exception occurred - {str(e)}")
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@pytest.mark.skip(reason="Skipping image edit test, image file not in ci/cd")
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def test_openai_gpt_image_1():
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from litellm import image_edit
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from PIL import Image
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import io
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# Create a simple mask image with alpha channel
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# Create a 512x512 black image with alpha channel
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try:
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response = image_edit(
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model="openai/gpt-image-1",
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image=open("test_image_edit.png", "rb"),
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mask=open("test_image_edit.png", "rb"),
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prompt="Add a red hat to the person in the image",
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n=1,
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size="1024x1024",
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)
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print("response: ", response)
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except Exception as e:
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if "mask image missing alpha channel" in str(e):
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pass
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else:
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raise e
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