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chore: import upstream snapshot with attribution
2026-07-13 13:08:55 +08:00

178 行
6.6 KiB
Python

"""High-value tests for OpenAI-Compatible endpoint provider edge cases.
Focuses on the unique is_available logic (URL-based availability),
create_llm URL passthrough, and backward compatibility functions.
"""
from unittest.mock import Mock, patch
from local_deep_research.llm.providers.implementations.custom_openai_endpoint import (
CustomOpenAIEndpointProvider,
)
from local_deep_research.llm.providers.openai_base import (
OpenAICompatibleProvider,
)
CUSTOM_MOD = (
"local_deep_research.llm.providers.implementations.custom_openai_endpoint"
)
GET_SETTING = f"{CUSTOM_MOD}.get_setting_from_snapshot"
PARENT_CREATE = "local_deep_research.llm.providers.openai_base.OpenAICompatibleProvider.create_llm"
class TestCustomOpenAIIsAvailable:
"""Tests for the unique is_available logic (api_key OR custom URL)."""
def test_available_with_api_key_only(self):
"""Provider is available when only API key is set."""
def side_effect(key, default=None, **kwargs):
if key == "llm.openai_endpoint.api_key":
return "my-key"
return default
with patch(GET_SETTING, side_effect=side_effect):
assert CustomOpenAIEndpointProvider.is_available() is True
def test_available_with_custom_url_only(self):
"""Provider is available when custom URL differs from default."""
def side_effect(key, default=None, **kwargs):
if key == "llm.openai_endpoint.api_key":
return None
if key == "llm.openai_endpoint.url":
return "http://localhost:8080/v1"
return default
with patch(GET_SETTING, side_effect=side_effect):
assert CustomOpenAIEndpointProvider.is_available() is True
def test_not_available_with_default_url_and_no_key(self):
"""Provider is NOT available when URL equals default and no API key."""
def side_effect(key, default=None, **kwargs):
if key == "llm.openai_endpoint.api_key":
return None
if key == "llm.openai_endpoint.url":
return "https://api.openai.com/v1"
return default
with patch(GET_SETTING, side_effect=side_effect):
assert CustomOpenAIEndpointProvider.is_available() is False
def test_not_available_with_none_url_and_no_key(self):
"""Provider is NOT available when both URL and key are None."""
with patch(GET_SETTING, return_value=None):
assert CustomOpenAIEndpointProvider.is_available() is False
def test_whitespace_api_key_not_available(self):
"""Whitespace-only API key does not make provider available."""
def side_effect(key, default=None, **kwargs):
if key == "llm.openai_endpoint.api_key":
return " "
if key == "llm.openai_endpoint.url":
return None
return default
with patch(GET_SETTING, side_effect=side_effect):
assert CustomOpenAIEndpointProvider.is_available() is False
def test_whitespace_url_not_available(self):
"""Whitespace-only URL does not make provider available."""
def side_effect(key, default=None, **kwargs):
if key == "llm.openai_endpoint.api_key":
return None
if key == "llm.openai_endpoint.url":
return " "
return default
with patch(GET_SETTING, side_effect=side_effect):
assert CustomOpenAIEndpointProvider.is_available() is False
def test_exception_in_api_key_check_falls_through_to_url(self):
"""Exception reading API key falls through to URL check."""
call_count = 0
def side_effect(key, default=None, **kwargs):
nonlocal call_count
call_count += 1
if key == "llm.openai_endpoint.api_key":
raise RuntimeError("settings error")
if key == "llm.openai_endpoint.url":
return "http://myserver:5000/v1"
return default
with patch(GET_SETTING, side_effect=side_effect):
assert CustomOpenAIEndpointProvider.is_available() is True
def test_both_exceptions_return_false(self):
"""Exceptions in both api_key and url checks return False."""
with patch(GET_SETTING, side_effect=RuntimeError("boom")):
assert CustomOpenAIEndpointProvider.is_available() is False
class TestCustomOpenAICreateLlm:
"""Tests for create_llm URL passthrough."""
def test_custom_url_passed_to_parent(self):
"""Custom URL from settings is passed as base_url to parent."""
def side_effect(key, default=None, **kwargs):
if key == "llm.openai_endpoint.url":
return "http://myserver:9000/v1"
if key == "llm.openai_endpoint.api_key":
return "test-key"
return default
with patch(GET_SETTING, side_effect=side_effect):
with patch(PARENT_CREATE) as mock_parent:
mock_parent.return_value = Mock()
CustomOpenAIEndpointProvider.create_llm()
_, kwargs = mock_parent.call_args
assert "base_url" in kwargs
def test_none_url_uses_default(self):
"""None URL falls back to default_base_url."""
def side_effect(key, default=None, **kwargs):
if key == "llm.openai_endpoint.url":
return None
if key == "llm.openai_endpoint.api_key":
return "test-key"
return default
with patch(GET_SETTING, side_effect=side_effect):
with patch(PARENT_CREATE) as mock_parent:
mock_parent.return_value = Mock()
CustomOpenAIEndpointProvider.create_llm()
_, kwargs = mock_parent.call_args
assert (
kwargs["base_url"]
== CustomOpenAIEndpointProvider.default_base_url
)
class TestCustomOpenAIClassAttributes:
"""Tests for class-level metadata."""
def test_inherits_from_openai_compatible(self):
"""Inherits from OpenAICompatibleProvider."""
assert issubclass(
CustomOpenAIEndpointProvider, OpenAICompatibleProvider
)
def test_provider_key(self):
"""Provider key is OPENAI_ENDPOINT."""
assert CustomOpenAIEndpointProvider.provider_key == "OPENAI_ENDPOINT"
def test_is_cloud_is_none(self):
"""is_cloud is None (could be local or cloud)."""
assert CustomOpenAIEndpointProvider.is_cloud is None
def test_requires_auth_for_models_returns_false(self):
"""Custom endpoints don't require auth for model listing."""
assert CustomOpenAIEndpointProvider.requires_auth_for_models() is False