langchain/libs/community/tests/integration_tests/llms/test_arcee.py

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from unittest.mock import MagicMock, patch
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.arcee import Arcee
@patch("langchain_community.utilities.arcee.requests.get")
def test_arcee_api_key_is_secret_string(mock_get: MagicMock) -> None:
mock_response = mock_get.return_value
mock_response.status_code = 200
mock_response.json.return_value = {
"model_id": "",
"status": "training_complete",
}
arcee_without_env_var = Arcee(
model="DALM-PubMed",
arcee_api_key="secret_api_key",
arcee_api_url="https://localhost",
arcee_api_version="version",
)
assert isinstance(arcee_without_env_var.arcee_api_key, SecretStr)
@patch("langchain_community.utilities.arcee.requests.get")
def test_api_key_masked_when_passed_via_constructor(
mock_get: MagicMock, capsys: CaptureFixture
) -> None:
mock_response = mock_get.return_value
mock_response.status_code = 200
mock_response.json.return_value = {
"model_id": "",
"status": "training_complete",
}
arcee_without_env_var = Arcee(
model="DALM-PubMed",
arcee_api_key="secret_api_key",
arcee_api_url="https://localhost",
arcee_api_version="version",
)
print(arcee_without_env_var.arcee_api_key, end="") # noqa: T201
captured = capsys.readouterr()
assert "**********" == captured.out
@patch("langchain_community.utilities.arcee.requests.get")
def test_api_key_masked_when_passed_from_env(
mock_get: MagicMock, capsys: CaptureFixture, monkeypatch: MonkeyPatch
) -> None:
mock_response = mock_get.return_value
mock_response.status_code = 200
mock_response.json.return_value = {
"model_id": "",
"status": "training_complete",
}
monkeypatch.setenv("ARCEE_API_KEY", "secret_api_key")
arcee_with_env_var = Arcee(
model="DALM-PubMed",
arcee_api_url="https://localhost",
arcee_api_version="version",
)
print(arcee_with_env_var.arcee_api_key, end="") # noqa: T201
captured = capsys.readouterr()
assert "**********" == captured.out