langchain/libs/community/tests/unit_tests/chat_models/test_yuan2.py

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"""Test ChatYuan2 wrapper."""
import pytest
from langchain_core.messages import (
AIMessage,
HumanMessage,
SystemMessage,
)
from langchain_community.chat_models.yuan2 import (
ChatYuan2,
_convert_dict_to_message,
_convert_message_to_dict,
)
@pytest.mark.requires("openai")
def test_yuan2_model_param() -> None:
chat = ChatYuan2(model="foo")
assert chat.model_name == "foo"
chat = ChatYuan2(model_name="foo")
assert chat.model_name == "foo"
def test__convert_message_to_dict_human() -> None:
message = HumanMessage(content="foo")
result = _convert_message_to_dict(message)
expected_output = {"role": "user", "content": "foo"}
assert result == expected_output
def test__convert_message_to_dict_ai() -> None:
message = AIMessage(content="foo")
result = _convert_message_to_dict(message)
expected_output = {"role": "assistant", "content": "foo"}
assert result == expected_output
def test__convert_message_to_dict_system() -> None:
message = SystemMessage(content="foo")
result = _convert_message_to_dict(message)
expected_output = {"role": "system", "content": "foo"}
assert result == expected_output
def test__convert_dict_to_message_human() -> None:
message = {"role": "user", "content": "hello"}
result = _convert_dict_to_message(message)
expected_output = HumanMessage(content="hello")
assert result == expected_output
def test__convert_dict_to_message_ai() -> None:
message = {"role": "assistant", "content": "hello"}
result = _convert_dict_to_message(message)
expected_output = AIMessage(content="hello")
assert result == expected_output
def test__convert_dict_to_message_system() -> None:
message = {"role": "system", "content": "hello"}
result = _convert_dict_to_message(message)
expected_output = SystemMessage(content="hello")
assert result == expected_output