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multiple: fix xfailed signatures (#28597)

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Erick Friis 2024-12-06 15:39:47 -08:00 committed by GitHub
parent b7c2029e84
commit 0eb7ab65f1
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4 changed files with 32 additions and 14 deletions
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7
libs/partners/fireworks/tests/integration_tests/test_standard.py
View File

@ -4,6 +4,7 @@ from typing import Type
import pytest import pytest
from langchain_core.language_models import BaseChatModel from langchain_core.language_models import BaseChatModel
from langchain_core.tools import BaseTool
from langchain_tests.integration_tests import ( # type: ignore[import-not-found] from langchain_tests.integration_tests import ( # type: ignore[import-not-found]
ChatModelIntegrationTests, # type: ignore[import-not-found] ChatModelIntegrationTests, # type: ignore[import-not-found]
) )
@ -24,5 +25,7 @@ class TestFireworksStandard(ChatModelIntegrationTests):
} }
@pytest.mark.xfail(reason="Not yet implemented.") @pytest.mark.xfail(reason="Not yet implemented.")
def test_tool_message_histories_list_content(self, model: BaseChatModel) -> None: def test_tool_message_histories_list_content(
super().test_tool_message_histories_list_content(model) self, model: BaseChatModel, my_adder_tool: BaseTool
) -> None:
super().test_tool_message_histories_list_content(model, my_adder_tool)

13
libs/partners/groq/tests/integration_tests/test_standard.py
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@ -5,6 +5,7 @@ from typing import Optional, Type
import pytest import pytest
from langchain_core.language_models import BaseChatModel from langchain_core.language_models import BaseChatModel
from langchain_core.rate_limiters import InMemoryRateLimiter from langchain_core.rate_limiters import InMemoryRateLimiter
from langchain_core.tools import BaseTool
from langchain_tests.integration_tests import ( from langchain_tests.integration_tests import (
ChatModelIntegrationTests, ChatModelIntegrationTests,
) )
@ -20,8 +21,10 @@ class BaseTestGroq(ChatModelIntegrationTests):
return ChatGroq return ChatGroq
@pytest.mark.xfail(reason="Not yet implemented.") @pytest.mark.xfail(reason="Not yet implemented.")
def test_tool_message_histories_list_content(self, model: BaseChatModel) -> None: def test_tool_message_histories_list_content(
super().test_tool_message_histories_list_content(model) self, model: BaseChatModel, my_adder_tool: BaseTool
) -> None:
super().test_tool_message_histories_list_content(model, my_adder_tool)
class TestGroqLlama(BaseTestGroq): class TestGroqLlama(BaseTestGroq):
@ -47,8 +50,10 @@ class TestGroqLlama(BaseTestGroq):
@pytest.mark.xfail( @pytest.mark.xfail(
reason=("Fails with 'Failed to call a function. Please adjust your prompt.'") reason=("Fails with 'Failed to call a function. Please adjust your prompt.'")
) )
def test_tool_message_histories_string_content(self, model: BaseChatModel) -> None: def test_tool_message_histories_string_content(
super().test_tool_message_histories_string_content(model) self, model: BaseChatModel, my_adder_tool: BaseTool
) -> None:
super().test_tool_message_histories_string_content(model, my_adder_tool)
@pytest.mark.xfail( @pytest.mark.xfail(
reason=( reason=(

7
libs/partners/openai/tests/unit_tests/chat_models/test_azure_standard.py
View File

@ -4,6 +4,7 @@ from typing import Tuple, Type
import pytest import pytest
from langchain_core.language_models import BaseChatModel from langchain_core.language_models import BaseChatModel
from langchain_core.tools import BaseTool
from langchain_tests.unit_tests import ChatModelUnitTests from langchain_tests.unit_tests import ChatModelUnitTests
from langchain_openai import AzureChatOpenAI from langchain_openai import AzureChatOpenAI
@ -23,8 +24,10 @@ class TestOpenAIStandard(ChatModelUnitTests):
} }
@pytest.mark.xfail(reason="AzureOpenAI does not support tool_choice='any'") @pytest.mark.xfail(reason="AzureOpenAI does not support tool_choice='any'")
def test_bind_tool_pydantic(self, model: BaseChatModel) -> None: def test_bind_tool_pydantic(
super().test_bind_tool_pydantic(model) self, model: BaseChatModel, my_adder_tool: BaseTool
) -> None:
super().test_bind_tool_pydantic(model, my_adder_tool)
@property @property
def init_from_env_params(self) -> Tuple[dict, dict, dict]: def init_from_env_params(self) -> Tuple[dict, dict, dict]:

19
libs/partners/xai/tests/integration_tests/test_chat_models_standard.py
View File

@ -5,6 +5,7 @@ from typing import Optional, Type
import pytest # type: ignore[import-not-found] import pytest # type: ignore[import-not-found]
from langchain_core.language_models import BaseChatModel from langchain_core.language_models import BaseChatModel
from langchain_core.rate_limiters import InMemoryRateLimiter from langchain_core.rate_limiters import InMemoryRateLimiter
from langchain_core.tools import BaseTool
from langchain_tests.integration_tests import ( # type: ignore[import-not-found] from langchain_tests.integration_tests import ( # type: ignore[import-not-found]
ChatModelIntegrationTests, # type: ignore[import-not-found] ChatModelIntegrationTests, # type: ignore[import-not-found]
) )
@ -40,13 +41,19 @@ class TestXAIStandard(ChatModelIntegrationTests):
super().test_usage_metadata_streaming(model) super().test_usage_metadata_streaming(model)
@pytest.mark.xfail(reason="Can't handle AIMessage with empty content.") @pytest.mark.xfail(reason="Can't handle AIMessage with empty content.")
def test_tool_message_error_status(self, model: BaseChatModel) -> None: def test_tool_message_error_status(
super().test_tool_message_error_status(model) self, model: BaseChatModel, my_adder_tool: BaseTool
) -> None:
super().test_tool_message_error_status(model, my_adder_tool)
@pytest.mark.xfail(reason="Can't handle AIMessage with empty content.") @pytest.mark.xfail(reason="Can't handle AIMessage with empty content.")
def test_structured_few_shot_examples(self, model: BaseChatModel) -> None: def test_structured_few_shot_examples(
super().test_structured_few_shot_examples(model) self, model: BaseChatModel, my_adder_tool: BaseTool
) -> None:
super().test_structured_few_shot_examples(model, my_adder_tool)
@pytest.mark.xfail(reason="Can't handle AIMessage with empty content.") @pytest.mark.xfail(reason="Can't handle AIMessage with empty content.")
def test_tool_message_histories_string_content(self, model: BaseChatModel) -> None: def test_tool_message_histories_string_content(
super().test_tool_message_histories_string_content(model) self, model: BaseChatModel, my_adder_tool: BaseTool
) -> None:
super().test_tool_message_histories_string_content(model, my_adder_tool)