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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.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,
)
# test_example.py
from abc import ABC, abstractmethod
def assert_response_shape(response, custom_llm_provider):
expected_response_shape = {"id": str, "results": list, "meta": dict}
expected_results_shape = {"index": int, "relevance_score": float}
expected_meta_shape = {"api_version": dict, "billed_units": dict}
expected_api_version_shape = {"version": str}
expected_billed_units_shape = {"search_units": int}
expected_billed_units_total_tokens_shape = {"total_tokens": int}
assert isinstance(response.id, expected_response_shape["id"])
assert isinstance(response.results, expected_response_shape["results"])
for result in response.results:
assert isinstance(result["index"], expected_results_shape["index"])
assert isinstance(
result["relevance_score"], expected_results_shape["relevance_score"]
)
assert isinstance(response.meta, expected_response_shape["meta"])
if custom_llm_provider == "cohere":
assert isinstance(
response.meta["api_version"], expected_meta_shape["api_version"]
)
assert isinstance(
response.meta["api_version"]["version"],
expected_api_version_shape["version"],
)
assert isinstance(
response.meta["billed_units"], expected_meta_shape["billed_units"]
)
if "total_tokens" in response.meta["billed_units"]:
assert isinstance(
response.meta["billed_units"]["total_tokens"],
expected_billed_units_total_tokens_shape["total_tokens"],
)
else:
assert isinstance(
response.meta["billed_units"]["search_units"],
expected_billed_units_shape["search_units"],
)
class BaseLLMRerankTest(ABC):
"""
Abstract base test class that enforces a common test across all test classes.
"""
@abstractmethod
def get_base_rerank_call_args(self) -> dict:
"""Must return the base rerank 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_rerank(self, sync_mode):
litellm._turn_on_debug()
os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
litellm.model_cost = litellm.get_model_cost_map(url="")
rerank_call_args = self.get_base_rerank_call_args()
custom_llm_provider = self.get_custom_llm_provider()
if sync_mode is True:
response = litellm.rerank(
**rerank_call_args,
query="hello",
documents=["hello", "world"],
top_n=2,
)
print("re rank response: ", response)
assert response.id is not None
assert response.results is not None
assert response._hidden_params["response_cost"] is not None
assert response._hidden_params["response_cost"] > 0
assert_response_shape(
response=response, custom_llm_provider=custom_llm_provider.value
)
else:
response = await litellm.arerank(
**rerank_call_args,
query="hello",
documents=["hello", "world"],
top_n=2,
)
print("async re rank response: ", response)
assert response.id is not None
assert response.results is not None
assert_response_shape(
response=response, custom_llm_provider=custom_llm_provider.value
)
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