mirror of
https://github.com/hwchase17/langchain
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48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
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"""Test PremChat model"""
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import pytest
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from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
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from langchain_core.pydantic_v1 import SecretStr
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from pytest import CaptureFixture
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from langchain_community.chat_models import ChatPremAI
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from langchain_community.chat_models.premai import _messages_to_prompt_dict
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@pytest.mark.requires("premai")
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def test_api_key_is_string() -> None:
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llm = ChatPremAI(premai_api_key="secret-api-key", project_id=8)
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assert isinstance(llm.premai_api_key, SecretStr)
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@pytest.mark.requires("premai")
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def test_api_key_masked_when_passed_via_constructor(
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capsys: CaptureFixture,
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) -> None:
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llm = ChatPremAI(premai_api_key="secret-api-key", project_id=8)
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print(llm.premai_api_key, end="") # noqa: T201
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captured = capsys.readouterr()
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assert captured.out == "**********"
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def test_messages_to_prompt_dict_with_valid_messages() -> None:
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system_message, result = _messages_to_prompt_dict(
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[
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SystemMessage(content="System Prompt"),
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HumanMessage(content="User message #1"),
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AIMessage(content="AI message #1"),
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HumanMessage(content="User message #2"),
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AIMessage(content="AI message #2"),
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]
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)
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expected = [
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{"role": "user", "content": "User message #1"},
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{"role": "assistant", "content": "AI message #1"},
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{"role": "user", "content": "User message #2"},
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{"role": "assistant", "content": "AI message #2"},
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]
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assert system_message == "System Prompt"
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assert result == expected
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