mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
207 lines
6.4 KiB
Python
207 lines
6.4 KiB
Python
from typing import Type, cast
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import pytest
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from langchain_core.load import dumpd
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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_openai import (
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AzureChatOpenAI,
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AzureOpenAI,
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AzureOpenAIEmbeddings,
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ChatOpenAI,
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OpenAI,
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OpenAIEmbeddings,
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)
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def test_chat_openai_secrets() -> None:
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o = ChatOpenAI(openai_api_key="foo")
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s = str(o)
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assert "foo" not in s
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def test_openai_secrets() -> None:
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o = OpenAI(openai_api_key="foo")
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s = str(o)
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assert "foo" not in s
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def test_openai_embeddings_secrets() -> None:
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o = OpenAIEmbeddings(openai_api_key="foo")
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s = str(o)
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assert "foo" not in s
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def test_azure_chat_openai_secrets() -> None:
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o = AzureChatOpenAI(
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openai_api_key="foo1",
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azure_endpoint="endpoint",
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azure_ad_token="foo2",
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api_version="version",
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)
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s = str(o)
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assert "foo1" not in s
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assert "foo2" not in s
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def test_azure_openai_secrets() -> None:
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o = AzureOpenAI(
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openai_api_key="foo1",
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azure_endpoint="endpoint",
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azure_ad_token="foo2",
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api_version="version",
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)
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s = str(o)
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assert "foo1" not in s
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assert "foo2" not in s
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def test_azure_openai_embeddings_secrets() -> None:
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o = AzureOpenAIEmbeddings(
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openai_api_key="foo1",
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azure_endpoint="endpoint",
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azure_ad_token="foo2",
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api_version="version",
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)
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s = str(o)
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assert "foo1" not in s
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assert "foo2" not in s
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@pytest.mark.parametrize(
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"model_class", [AzureChatOpenAI, AzureOpenAI, AzureOpenAIEmbeddings]
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)
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def test_azure_openai_api_key_is_secret_string(model_class: Type) -> None:
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"""Test that the API key is stored as a SecretStr."""
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model = model_class(
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openai_api_key="secret-api-key",
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azure_endpoint="endpoint",
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azure_ad_token="secret-ad-token",
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api_version="version",
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)
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assert isinstance(model.openai_api_key, SecretStr)
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assert isinstance(model.azure_ad_token, SecretStr)
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@pytest.mark.parametrize(
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"model_class", [AzureChatOpenAI, AzureOpenAI, AzureOpenAIEmbeddings]
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)
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def test_azure_openai_api_key_masked_when_passed_from_env(
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model_class: Type, monkeypatch: MonkeyPatch, capsys: CaptureFixture
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) -> None:
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"""Test that the API key is masked when passed from an environment variable."""
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monkeypatch.setenv("AZURE_OPENAI_API_KEY", "secret-api-key")
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monkeypatch.setenv("AZURE_OPENAI_AD_TOKEN", "secret-ad-token")
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model = model_class(
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azure_endpoint="endpoint",
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api_version="version",
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)
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print(model.openai_api_key, end="") # noqa: T201
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captured = capsys.readouterr()
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assert captured.out == "**********"
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print(model.azure_ad_token, end="") # noqa: T201
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captured = capsys.readouterr()
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assert captured.out == "**********"
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@pytest.mark.parametrize(
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"model_class", [AzureChatOpenAI, AzureOpenAI, AzureOpenAIEmbeddings]
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)
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def test_azure_openai_api_key_masked_when_passed_via_constructor(
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model_class: Type,
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capsys: CaptureFixture,
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) -> None:
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"""Test that the API key is masked when passed via the constructor."""
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model = model_class(
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openai_api_key="secret-api-key",
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azure_endpoint="endpoint",
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azure_ad_token="secret-ad-token",
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api_version="version",
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)
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print(model.openai_api_key, end="") # noqa: T201
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captured = capsys.readouterr()
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assert captured.out == "**********"
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print(model.azure_ad_token, end="") # noqa: T201
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captured = capsys.readouterr()
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assert captured.out == "**********"
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@pytest.mark.parametrize(
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"model_class", [AzureChatOpenAI, AzureOpenAI, AzureOpenAIEmbeddings]
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)
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def test_azure_openai_uses_actual_secret_value_from_secretstr(
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model_class: Type,
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) -> None:
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"""Test that the actual secret value is correctly retrieved."""
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model = model_class(
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openai_api_key="secret-api-key",
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azure_endpoint="endpoint",
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azure_ad_token="secret-ad-token",
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api_version="version",
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)
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assert cast(SecretStr, model.openai_api_key).get_secret_value() == "secret-api-key"
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assert cast(SecretStr, model.azure_ad_token).get_secret_value() == "secret-ad-token"
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@pytest.mark.parametrize("model_class", [ChatOpenAI, OpenAI, OpenAIEmbeddings])
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def test_openai_api_key_is_secret_string(model_class: Type) -> None:
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"""Test that the API key is stored as a SecretStr."""
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model = model_class(openai_api_key="secret-api-key")
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assert isinstance(model.openai_api_key, SecretStr)
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@pytest.mark.parametrize("model_class", [ChatOpenAI, OpenAI, OpenAIEmbeddings])
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def test_openai_api_key_masked_when_passed_from_env(
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model_class: Type, monkeypatch: MonkeyPatch, capsys: CaptureFixture
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) -> None:
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"""Test that the API key is masked when passed from an environment variable."""
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monkeypatch.setenv("OPENAI_API_KEY", "secret-api-key")
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model = model_class()
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print(model.openai_api_key, end="") # noqa: T201
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captured = capsys.readouterr()
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assert captured.out == "**********"
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@pytest.mark.parametrize("model_class", [ChatOpenAI, OpenAI, OpenAIEmbeddings])
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def test_openai_api_key_masked_when_passed_via_constructor(
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model_class: Type,
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capsys: CaptureFixture,
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) -> None:
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"""Test that the API key is masked when passed via the constructor."""
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model = model_class(openai_api_key="secret-api-key")
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print(model.openai_api_key, end="") # noqa: T201
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captured = capsys.readouterr()
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assert captured.out == "**********"
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@pytest.mark.parametrize("model_class", [ChatOpenAI, OpenAI, OpenAIEmbeddings])
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def test_openai_uses_actual_secret_value_from_secretstr(model_class: Type) -> None:
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"""Test that the actual secret value is correctly retrieved."""
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model = model_class(openai_api_key="secret-api-key")
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assert cast(SecretStr, model.openai_api_key).get_secret_value() == "secret-api-key"
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@pytest.mark.parametrize("model_class", [AzureChatOpenAI, AzureOpenAI])
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def test_azure_serialized_secrets(model_class: Type) -> None:
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"""Test that the actual secret value is correctly retrieved."""
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model = model_class(
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openai_api_key="secret-api-key", api_version="foo", azure_endpoint="foo"
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)
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serialized = dumpd(model)
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assert serialized["kwargs"]["openai_api_key"]["id"] == ["AZURE_OPENAI_API_KEY"]
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model = model_class(
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azure_ad_token="secret-token", api_version="foo", azure_endpoint="foo"
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)
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serialized = dumpd(model)
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assert serialized["kwargs"]["azure_ad_token"]["id"] == ["AZURE_OPENAI_AD_TOKEN"]
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