langchain/libs/community/tests/unit_tests/llms/test_minimax.py

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"""Test Minimax llm"""
from typing import cast
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture, MonkeyPatch
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
2023-12-11 21:53:30 +00:00
from langchain_community.llms.minimax import Minimax
def test_api_key_is_secret_string() -> None:
llm = Minimax(minimax_api_key="secret-api-key", minimax_group_id="group_id")
assert isinstance(llm.minimax_api_key, SecretStr)
def test_api_key_masked_when_passed_from_env(
monkeypatch: MonkeyPatch, capsys: CaptureFixture
) -> None:
"""Test initialization with an API key provided via an env variable"""
monkeypatch.setenv("MINIMAX_API_KEY", "secret-api-key")
monkeypatch.setenv("MINIMAX_GROUP_ID", "group_id")
llm = Minimax()
print(llm.minimax_api_key, end="")
captured = capsys.readouterr()
assert captured.out == "**********"
def test_api_key_masked_when_passed_via_constructor(
capsys: CaptureFixture,
) -> None:
"""Test initialization with an API key provided via the initializer"""
llm = Minimax(minimax_api_key="secret-api-key", minimax_group_id="group_id")
print(llm.minimax_api_key, end="")
captured = capsys.readouterr()
assert captured.out == "**********"
def test_uses_actual_secret_value_from_secretstr() -> None:
"""Test that actual secret is retrieved using `.get_secret_value()`."""
llm = Minimax(minimax_api_key="secret-api-key", minimax_group_id="group_id")
assert cast(SecretStr, llm.minimax_api_key).get_secret_value() == "secret-api-key"