tests/llm_translation/base_embedding_unit_tests.py

import asyncio
import httpx
import json
import pytest
import sys
from typing import Any, Dict, List
from unittest.mock import MagicMock, Mock, patch
import os

sys.path.insert(
    0, os.path.abspath("../..")
)  # Adds the parent directory to the system path
import litellm
from litellm import embedding
from litellm.exceptions import BadRequestError
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
from litellm.utils import (
    CustomStreamWrapper,
    get_supported_openai_params,
    get_optional_params,
    get_optional_params_embeddings,
)
import requests
import base64

# test_example.py
from abc import ABC, abstractmethod

url = "https://dummyimage.com/100/100/fff&text=Test+image"
response = requests.get(url)
file_data = response.content

encoded_file = base64.b64encode(file_data).decode("utf-8")
base64_image = f"data:image/png;base64,{encoded_file}"


class BaseLLMEmbeddingTest(ABC):
    """
    Abstract base test class that enforces a common test across all test classes.
    """

    @abstractmethod
    def get_base_embedding_call_args(self) -> dict:
        """Must return the base embedding call args"""
        pass

    @abstractmethod
    def get_custom_llm_provider(self) -> litellm.LlmProviders:
        """Must return the custom llm provider"""
        pass

    @pytest.mark.asyncio()
    @pytest.mark.parametrize("sync_mode", [True, False])
    async def test_basic_embedding(self, sync_mode):
        litellm.set_verbose = True
        embedding_call_args = self.get_base_embedding_call_args()
        if sync_mode is True:
            response = litellm.embedding(
                **embedding_call_args,
                input=["hello", "world"],
            )

            print("embedding response: ", response)
        else:
            response = await litellm.aembedding(
                **embedding_call_args,
                input=["hello", "world"],
            )

            print("async embedding response: ", response)

        from openai.types.create_embedding_response import CreateEmbeddingResponse

        CreateEmbeddingResponse.model_validate(response.model_dump())

    def test_embedding_optional_params_max_retries(self):
        embedding_call_args = self.get_base_embedding_call_args()
        optional_params = get_optional_params_embeddings(
            **embedding_call_args, max_retries=20
        )
        assert optional_params["max_retries"] == 20

    def test_image_embedding(self):
        litellm.set_verbose = True
        from litellm.utils import supports_embedding_image_input

        os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
        litellm.model_cost = litellm.get_model_cost_map(url="")

        base_embedding_call_args = self.get_base_embedding_call_args()
        if not supports_embedding_image_input(base_embedding_call_args["model"], None):
            print("Model does not support embedding image input")
            pytest.skip("Model does not support embedding image input")

        embedding(**base_embedding_call_args, input=[base64_image])