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langchain/libs/community/tests/integration_tests/chat_models/test_dappier.py

59 lines
2.1 KiB
Python

from typing import List
import pytest
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_core.outputs import ChatGeneration, LLMResult
from langchain_community.chat_models.dappier import (
ChatDappierAI,
)
@pytest.mark.scheduled
def test_dappier_chat() -> None:
"""Test ChatDappierAI wrapper."""
chat = ChatDappierAI(
dappier_endpoint="https://api.dappier.com/app/datamodelconversation",
dappier_model="dm_01hpsxyfm2fwdt2zet9cg6fdxt",
)
message = HumanMessage(content="Who are you ?")
response = chat.invoke([message])
assert isinstance(response, AIMessage)
assert isinstance(response.content, str)
@pytest.mark.scheduled
def test_dappier_generate() -> None:
"""Test generate method of Dappier AI."""
chat = ChatDappierAI(
dappier_endpoint="https://api.dappier.com/app/datamodelconversation",
dappier_model="dm_01hpsxyfm2fwdt2zet9cg6fdxt",
)
chat_messages: List[List[BaseMessage]] = [
[HumanMessage(content="Who won the last super bowl?")],
]
messages_copy = [messages.copy() for messages in chat_messages]
result: LLMResult = chat.generate(chat_messages)
assert isinstance(result, LLMResult)
for response in result.generations[0]:
assert isinstance(response, ChatGeneration)
assert isinstance(response.text, str)
assert response.text == response.message.content
assert chat_messages == messages_copy
@pytest.mark.scheduled
async def test_dappier_agenerate() -> None:
"""Test async generation."""
chat = ChatDappierAI(
dappier_endpoint="https://api.dappier.com/app/datamodelconversation",
dappier_model="dm_01hpsxyfm2fwdt2zet9cg6fdxt",
)
message = HumanMessage(content="Who won the last super bowl?")
result: LLMResult = await chat.agenerate([[message], [message]])
assert isinstance(result, LLMResult)
for response in result.generations[0]:
assert isinstance(response, ChatGeneration)
assert isinstance(response.text, str)
assert response.text == response.message.content