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

60 lines
2.1 KiB
Python

"""Test PremChat model"""
from typing import cast
import pytest
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture
from langchain_community.chat_models import ChatPremAI
from langchain_community.chat_models.premai import _messages_to_prompt_dict
@pytest.mark.requires("premai")
def test_api_key_is_string() -> None:
llm = ChatPremAI(premai_api_key="secret-api-key", project_id=8) # type: ignore[call-arg]
assert isinstance(llm.premai_api_key, SecretStr)
@pytest.mark.requires("premai")
def test_api_key_masked_when_passed_via_constructor(
capsys: CaptureFixture,
) -> None:
llm = ChatPremAI(premai_api_key="secret-api-key", project_id=8) # type: ignore[call-arg]
print(llm.premai_api_key, end="") # noqa: T201
captured = capsys.readouterr()
assert captured.out == "**********"
def test_messages_to_prompt_dict_with_valid_messages() -> None:
system_message, result = _messages_to_prompt_dict(
[
SystemMessage(content="System Prompt"),
HumanMessage(content="User message #1"),
AIMessage(content="AI message #1"),
HumanMessage(content="User message #2"),
AIMessage(content="AI message #2"),
]
)
expected = [
{"role": "user", "content": "User message #1"},
{"role": "assistant", "content": "AI message #1"},
{"role": "user", "content": "User message #2"},
{"role": "assistant", "content": "AI message #2"},
]
assert system_message == "System Prompt"
assert result == expected
@pytest.mark.requires("premai")
def test_premai_initialization() -> None:
for model in [
ChatPremAI(model="prem-ai-model", premai_api_key="xyz", project_id=8), # type: ignore[call-arg]
ChatPremAI(model_name="prem-ai-model", api_key="xyz", project_id=8), # type: ignore[arg-type, call-arg]
]:
assert model.model == "prem-ai-model"
assert cast(SecretStr, model.premai_api_key).get_secret_value() == "xyz"