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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
143 lines
4.8 KiB
Python
143 lines
4.8 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
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from unittest.mock import MagicMock, Mock, patch
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import os
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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 (
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CustomStreamWrapper,
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get_supported_openai_params,
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get_optional_params,
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)
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# test_example.py
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from abc import ABC, abstractmethod
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def assert_response_shape(response, custom_llm_provider):
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expected_response_shape = {"id": str, "results": list, "meta": dict}
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expected_results_shape = {"index": int, "relevance_score": float}
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expected_meta_shape = {"api_version": dict, "billed_units": dict}
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expected_api_version_shape = {"version": str}
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expected_billed_units_shape = {"search_units": int}
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expected_billed_units_total_tokens_shape = {"total_tokens": int}
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assert isinstance(response.id, expected_response_shape["id"])
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assert isinstance(response.results, expected_response_shape["results"])
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for result in response.results:
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assert isinstance(result["index"], expected_results_shape["index"])
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assert isinstance(
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result["relevance_score"], expected_results_shape["relevance_score"]
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)
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assert isinstance(response.meta, expected_response_shape["meta"])
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if custom_llm_provider == "cohere":
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assert isinstance(
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response.meta["api_version"], expected_meta_shape["api_version"]
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)
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assert isinstance(
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response.meta["api_version"]["version"],
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expected_api_version_shape["version"],
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)
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assert isinstance(
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response.meta["billed_units"], expected_meta_shape["billed_units"]
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)
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if "total_tokens" in response.meta["billed_units"]:
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assert isinstance(
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response.meta["billed_units"]["total_tokens"],
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expected_billed_units_total_tokens_shape["total_tokens"],
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)
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else:
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assert isinstance(
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response.meta["billed_units"]["search_units"],
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expected_billed_units_shape["search_units"],
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)
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class BaseLLMRerankTest(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_rerank_call_args(self) -> dict:
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"""Must return the base rerank call args"""
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pass
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@abstractmethod
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def get_custom_llm_provider(self) -> litellm.LlmProviders:
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"""Must return the custom llm provider"""
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pass
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def get_expected_cost(self) -> float:
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"""
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Override this method to set the expected cost for the rerank call.
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Default is None, which means the test will check cost > 0.
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Return 0.0 for free models.
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"""
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return None
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@pytest.mark.asyncio()
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@pytest.mark.parametrize("sync_mode", [True, False])
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async def test_basic_rerank(self, sync_mode):
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litellm._turn_on_debug()
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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litellm.model_cost = litellm.get_model_cost_map(url="")
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rerank_call_args = self.get_base_rerank_call_args()
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custom_llm_provider = self.get_custom_llm_provider()
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if sync_mode is True:
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response = litellm.rerank(
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**rerank_call_args,
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query="hello",
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documents=["hello", "world"],
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top_n=2,
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)
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print("re rank response: ", response)
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assert response.id is not None
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assert response.results is not None
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assert response._hidden_params["response_cost"] is not None
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# Check expected cost
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expected_cost = self.get_expected_cost()
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if expected_cost is not None:
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# If expected cost is specified, check exact match or >= for 0
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if expected_cost == 0.0:
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assert response._hidden_params["response_cost"] >= 0
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else:
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assert response._hidden_params["response_cost"] == expected_cost
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else:
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# Default behavior: cost should be greater than 0
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assert response._hidden_params["response_cost"] > 0
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assert_response_shape(
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response=response, custom_llm_provider=custom_llm_provider.value
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)
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else:
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response = await litellm.arerank(
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**rerank_call_args,
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query="hello",
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documents=["hello", "world"],
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top_n=2,
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)
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print("async re rank response: ", response)
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assert response.id is not None
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assert response.results is not None
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assert_response_shape(
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response=response, custom_llm_provider=custom_llm_provider.value
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)
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