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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
390 lines
14 KiB
Python
390 lines
14 KiB
Python
import json
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import os
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from unittest.mock import MagicMock, patch
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import httpx
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import pytest
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import litellm
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from litellm.llms.openai.containers.transformation import OpenAIContainerConfig
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from litellm.llms.base_llm.containers.transformation import BaseContainerConfig
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from litellm.types.containers.main import (
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ContainerObject,
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ContainerListResponse,
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DeleteContainerResult,
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)
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from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLogging
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class TestOpenAIContainerTransformation:
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"""Test suite for OpenAI container transformation functionality."""
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def setup_method(self):
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"""Set up test fixtures."""
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self.config = OpenAIContainerConfig()
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self.logging_obj = LiteLLMLogging(
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model="",
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messages=[],
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stream=False,
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call_type="create_container",
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start_time=None,
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litellm_call_id="test_call_id",
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function_id="test_function_id",
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)
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def test_get_supported_openai_params(self):
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"""Test that supported OpenAI parameters are returned correctly."""
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supported_params = self.config.get_supported_openai_params()
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# Check that essential container parameters are supported
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assert "name" in supported_params
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assert "expires_after" in supported_params
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assert "file_ids" in supported_params
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def test_map_openai_params_basic(self):
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"""Test basic parameter mapping for OpenAI."""
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from litellm.types.containers.main import ContainerCreateOptionalRequestParams
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optional_params = ContainerCreateOptionalRequestParams(
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{
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"expires_after": {"anchor": "last_active_at", "minutes": 30},
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"file_ids": ["file_1", "file_2"],
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}
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)
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mapped_params = self.config.map_openai_params(
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optional_params, drop_params=False
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)
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assert mapped_params["expires_after"]["minutes"] == 30
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assert mapped_params["file_ids"] == ["file_1", "file_2"]
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def test_validate_environment(self):
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"""Test environment validation adds proper headers."""
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headers = {}
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api_key = "sk-test123"
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validated_headers = self.config.validate_environment(
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headers=headers, api_key=api_key
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)
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assert "Authorization" in validated_headers
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assert validated_headers["Authorization"] == f"Bearer {api_key}"
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# Note: Content-Type is not added by validate_environment method
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def test_get_complete_url(self):
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"""Test complete URL generation."""
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api_base = "https://api.openai.com/v1"
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litellm_params = {}
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url = self.config.get_complete_url(
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api_base=api_base, litellm_params=litellm_params
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)
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assert url == "https://api.openai.com/v1/containers"
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def test_get_complete_url_with_custom_base(self):
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"""Test complete URL generation with custom API base."""
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api_base = "https://custom.openai.com/v1"
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litellm_params = {}
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url = self.config.get_complete_url(
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api_base=api_base, litellm_params=litellm_params
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)
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assert url == "https://custom.openai.com/v1/containers"
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def test_transform_container_create_request(self):
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"""Test container create request transformation."""
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from litellm.types.router import GenericLiteLLMParams
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litellm_params = GenericLiteLLMParams()
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headers = {"Authorization": "Bearer sk-test123"}
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name = "Test Container"
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container_create_optional_request_params = {
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"expires_after": {"anchor": "last_active_at", "minutes": 20},
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"file_ids": ["file_123"],
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}
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data = self.config.transform_container_create_request(
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name=name,
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container_create_optional_request_params=container_create_optional_request_params,
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litellm_params=litellm_params,
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headers=headers,
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)
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assert data["name"] == name
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assert (
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data["expires_after"]
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== container_create_optional_request_params["expires_after"]
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)
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assert data["file_ids"] == container_create_optional_request_params["file_ids"]
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def test_transform_container_create_response(self):
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"""Test container create response transformation."""
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# Mock HTTP response
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mock_response = MagicMock(spec=httpx.Response)
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mock_response.json.return_value = {
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"id": "cntr_123456",
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"object": "container",
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"created_at": 1747857508,
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"status": "running",
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"expires_after": {"anchor": "last_active_at", "minutes": 20},
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"last_active_at": 1747857508,
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"name": "Test Container",
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}
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container = self.config.transform_container_create_response(
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raw_response=mock_response, logging_obj=self.logging_obj
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)
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assert isinstance(container, ContainerObject)
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assert container.id == "cntr_123456"
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assert container.name == "Test Container"
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assert container.status == "running"
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assert container.object == "container"
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def test_transform_container_list_request(self):
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"""Test container list request transformation."""
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api_base = "https://api.openai.com/v1/containers"
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litellm_params = {}
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headers = {"Authorization": "Bearer sk-test123"}
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after = "cntr_123"
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limit = 10
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order = "desc"
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url, params = self.config.transform_container_list_request(
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api_base=api_base,
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litellm_params=litellm_params,
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headers=headers,
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after=after,
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limit=limit,
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order=order,
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)
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assert url == api_base
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assert params["after"] == after
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assert params["limit"] == str(limit) # Should be string for query params
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assert params["order"] == order
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def test_transform_container_list_response(self):
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"""Test container list response transformation."""
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# Mock HTTP response
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mock_response = MagicMock(spec=httpx.Response)
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mock_response.json.return_value = {
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"object": "list",
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"data": [
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{
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"id": "cntr_1",
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"object": "container",
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"created_at": 1747857508,
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"status": "running",
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"expires_after": {"anchor": "last_active_at", "minutes": 20},
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"last_active_at": 1747857508,
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"name": "Container 1",
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},
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{
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"id": "cntr_2",
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"object": "container",
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"created_at": 1747857600,
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"status": "running",
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"expires_after": {"anchor": "last_active_at", "minutes": 15},
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"last_active_at": 1747857600,
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"name": "Container 2",
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},
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],
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"first_id": "cntr_1",
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"last_id": "cntr_2",
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"has_more": False,
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}
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container_list = self.config.transform_container_list_response(
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raw_response=mock_response, logging_obj=self.logging_obj
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)
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assert isinstance(container_list, ContainerListResponse)
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assert len(container_list.data) == 2
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assert container_list.first_id == "cntr_1"
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assert container_list.last_id == "cntr_2"
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assert container_list.has_more == False
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def test_transform_container_retrieve_request(self):
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"""Test container retrieve request transformation."""
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container_id = "cntr_test123"
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api_base = "https://api.openai.com/v1/containers"
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litellm_params = {}
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headers = {"Authorization": "Bearer sk-test123"}
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url, params = self.config.transform_container_retrieve_request(
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container_id=container_id,
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api_base=api_base,
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litellm_params=litellm_params,
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headers=headers,
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)
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assert url == f"{api_base}/{container_id}"
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assert params == {} # No query params for retrieve
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def test_transform_container_retrieve_request_encodes_path_traversal(self):
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"""Test container IDs are treated as a single upstream path segment."""
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api_base = "https://api.openai.com/v1/containers"
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url, params = self.config.transform_container_retrieve_request(
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container_id="../../vector_stores?x=1#frag",
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api_base=api_base,
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litellm_params={},
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headers={},
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)
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assert (
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url
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== "https://api.openai.com/v1/containers/..%2F..%2Fvector_stores%3Fx%3D1%23frag"
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)
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assert params == {}
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def test_transform_container_retrieve_response(self):
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"""Test container retrieve response transformation."""
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# Mock HTTP response
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mock_response = MagicMock(spec=httpx.Response)
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mock_response.json.return_value = {
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"id": "cntr_retrieve_123",
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"object": "container",
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"created_at": 1747857508,
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"status": "running",
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"expires_after": {"anchor": "last_active_at", "minutes": 20},
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"last_active_at": 1747857508,
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"name": "Retrieved Container",
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}
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container = self.config.transform_container_retrieve_response(
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raw_response=mock_response, logging_obj=self.logging_obj
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)
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assert isinstance(container, ContainerObject)
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assert container.id == "cntr_retrieve_123"
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assert container.name == "Retrieved Container"
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def test_transform_container_delete_request(self):
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"""Test container delete request transformation."""
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container_id = "cntr_delete_123"
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api_base = "https://api.openai.com/v1/containers"
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litellm_params = {}
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headers = {"Authorization": "Bearer sk-test123"}
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url, params = self.config.transform_container_delete_request(
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container_id=container_id,
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api_base=api_base,
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litellm_params=litellm_params,
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headers=headers,
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)
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assert url == f"{api_base}/{container_id}"
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assert params == {} # No query params for delete
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def test_transform_container_delete_response(self):
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"""Test container delete response transformation."""
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# Mock HTTP response
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mock_response = MagicMock(spec=httpx.Response)
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mock_response.json.return_value = {
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"id": "cntr_delete_123",
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"object": "container.deleted",
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"deleted": True,
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}
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delete_result = self.config.transform_container_delete_response(
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raw_response=mock_response, logging_obj=self.logging_obj
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)
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assert isinstance(delete_result, DeleteContainerResult)
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assert delete_result.id == "cntr_delete_123"
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assert delete_result.object == "container.deleted"
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assert delete_result.deleted == True
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def test_get_error_class(self):
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"""Test error class handling."""
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import httpx
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from litellm.llms.base_llm.chat.transformation import BaseLLMException
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with pytest.raises(BaseLLMException) as exc_info:
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self.config.get_error_class(
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error_message="Test error", status_code=400, headers={}
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)
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assert "Test error" in str(exc_info.value)
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def test_transform_with_none_optional_params(self):
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"""Test transformation handles None optional parameters correctly."""
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from litellm.types.router import GenericLiteLLMParams
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litellm_params = GenericLiteLLMParams()
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headers = {"Authorization": "Bearer sk-test123"}
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name = "Test Container"
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container_create_optional_request_params = {
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"expires_after": None,
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"file_ids": None,
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}
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data = self.config.transform_container_create_request(
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name=name,
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container_create_optional_request_params=container_create_optional_request_params,
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litellm_params=litellm_params,
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headers=headers,
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)
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assert data["name"] == name
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# None values should be included as None
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assert data["expires_after"] is None
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assert data["file_ids"] is None
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def test_container_create_response_includes_cost(self, monkeypatch):
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"""Test that container create response includes code interpreter cost calculation."""
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# Force use of local model cost map for CI/CD consistency
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monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
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litellm.model_cost = litellm.get_model_cost_map(url="")
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from litellm.litellm_core_utils.llm_cost_calc.tool_call_cost_tracking import (
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StandardBuiltInToolCostTracking,
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)
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# Mock HTTP response
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mock_response = MagicMock(spec=httpx.Response)
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mock_response.json.return_value = {
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"id": "cntr_cost_test",
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"object": "container",
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"created_at": 1747857508,
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"status": "running",
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"expires_after": {"anchor": "last_active_at", "minutes": 20},
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"last_active_at": 1747857508,
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"name": "Cost Test Container",
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}
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# Transform the response
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container = self.config.transform_container_create_response(
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raw_response=mock_response, logging_obj=self.logging_obj
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)
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# Verify the container object is created
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assert isinstance(container, ContainerObject)
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assert container.id == "cntr_cost_test"
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# Verify that _hidden_params contains cost information
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assert hasattr(container, "_hidden_params")
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assert container._hidden_params is not None
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assert "additional_headers" in container._hidden_params
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assert (
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"llm_provider-x-litellm-response-cost"
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in container._hidden_params["additional_headers"]
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)
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# Verify the cost matches expected value for OpenAI code interpreter (1 session)
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# OpenAI charges $0.03 per code interpreter session
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expected_cost = StandardBuiltInToolCostTracking.get_cost_for_code_interpreter(
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sessions=1, provider="openai"
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)
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actual_cost = container._hidden_params["additional_headers"][
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"llm_provider-x-litellm-response-cost"
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]
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assert actual_cost == expected_cost
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assert actual_cost == 0.03 # OpenAI code interpreter costs $0.03 per session
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