litellm/tests/llm_translation/base_embedding_unit_tests.py
yuneng-jiang 6a0d03914c
test: drop the cwd-relative sys.path.insert calls from the test suite (#37802)
* 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
2026-08-22 09:25:58 -07:00

91 lines
2.9 KiB
Python

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