mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
120 lines
3.9 KiB
Python
120 lines
3.9 KiB
Python
from typing import cast
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import pytest
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from langchain_core.messages import (
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AIMessage,
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AIMessageChunk,
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ChatMessage,
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FunctionMessage,
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HumanMessage,
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HumanMessageChunk,
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SystemMessage,
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)
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from langchain_core.pydantic_v1 import SecretStr
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from pytest import CaptureFixture, MonkeyPatch
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from langchain_community.chat_models.baichuan import (
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ChatBaichuan,
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_convert_delta_to_message_chunk,
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_convert_dict_to_message,
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_convert_message_to_dict,
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)
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def test__convert_message_to_dict_human() -> None:
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message = HumanMessage(content="foo")
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result = _convert_message_to_dict(message)
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expected_output = {"role": "user", "content": "foo"}
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assert result == expected_output
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def test__convert_message_to_dict_ai() -> None:
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message = AIMessage(content="foo")
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result = _convert_message_to_dict(message)
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expected_output = {"role": "assistant", "content": "foo"}
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assert result == expected_output
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def test__convert_message_to_dict_system() -> None:
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message = SystemMessage(content="foo")
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with pytest.raises(TypeError) as e:
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_convert_message_to_dict(message)
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assert "Got unknown type" in str(e)
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def test__convert_message_to_dict_function() -> None:
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message = FunctionMessage(name="foo", content="bar")
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with pytest.raises(TypeError) as e:
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_convert_message_to_dict(message)
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assert "Got unknown type" in str(e)
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def test__convert_dict_to_message_human() -> None:
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message_dict = {"role": "user", "content": "foo"}
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result = _convert_dict_to_message(message_dict)
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expected_output = HumanMessage(content="foo")
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assert result == expected_output
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def test__convert_dict_to_message_ai() -> None:
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message_dict = {"role": "assistant", "content": "foo"}
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result = _convert_dict_to_message(message_dict)
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expected_output = AIMessage(content="foo")
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assert result == expected_output
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def test__convert_dict_to_message_other_role() -> None:
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message_dict = {"role": "system", "content": "foo"}
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result = _convert_dict_to_message(message_dict)
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expected_output = ChatMessage(role="system", content="foo")
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assert result == expected_output
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def test__convert_delta_to_message_assistant() -> None:
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delta = {"role": "assistant", "content": "foo"}
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result = _convert_delta_to_message_chunk(delta, AIMessageChunk)
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expected_output = AIMessageChunk(content="foo")
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assert result == expected_output
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def test__convert_delta_to_message_human() -> None:
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delta = {"role": "user", "content": "foo"}
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result = _convert_delta_to_message_chunk(delta, HumanMessageChunk)
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expected_output = HumanMessageChunk(content="foo")
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assert result == expected_output
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def test_baichuan_key_masked_when_passed_from_env(
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monkeypatch: MonkeyPatch, capsys: CaptureFixture
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) -> None:
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"""Test initialization with an API key provided via an env variable"""
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monkeypatch.setenv("BAICHUAN_API_KEY", "test-api-key")
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chat = ChatBaichuan()
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print(chat.baichuan_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_baichuan_key_masked_when_passed_via_constructor(
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capsys: CaptureFixture,
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) -> None:
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"""Test initialization with an API key provided via the initializer"""
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chat = ChatBaichuan(baichuan_api_key="test-api-key")
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print(chat.baichuan_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_uses_actual_secret_value_from_secret_str() -> None:
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"""Test that actual secret is retrieved using `.get_secret_value()`."""
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chat = ChatBaichuan(
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baichuan_api_key="test-api-key",
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baichuan_secret_key="test-secret-key", # For backward compatibility
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)
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assert cast(SecretStr, chat.baichuan_api_key).get_secret_value() == "test-api-key"
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assert (
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cast(SecretStr, chat.baichuan_secret_key).get_secret_value()
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== "test-secret-key"
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)
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