mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-18 13:31:36 +00:00
a017f49fd3
it fixes two issues: ### YGPTs are broken #25575 ``` File ....conda/lib/python3.11/site-packages/langchain_community/embeddings/yandex.py:211, in _make_request(self, texts, **kwargs) .. --> 211 res = stub.TextEmbedding(request, metadata=self._grpc_metadata) # type: ignore[attr-defined] AttributeError: 'YandexGPTEmbeddings' object has no attribute '_grpc_metadata' ``` My gut feeling that #23841 is the cause. I have to drop leading underscore from `_grpc_metadata` for quickfix, but I just don't know how to do it _pydantic_ enough. ### minor issue: if we use `api_key`, which is not the best practice the code fails with ``` File ~/git/...../python3.11/site-packages/langchain_community/embeddings/yandex.py:119, in YandexGPTEmbeddings.validate_environment(cls, values) ... AttributeError: 'tuple' object has no attribute 'append' ``` - Added new integration test. But it requires YGPT env available and active account. I don't know how int tests dis\enabled in CI. - added small unit tests with mocks. Should be fine. --------- Co-authored-by: mikhail-khludnev <mikhail_khludnev@rntgroup.com>
93 lines
3.5 KiB
Python
93 lines
3.5 KiB
Python
import os
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from unittest import mock
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from unittest.mock import MagicMock
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import pytest
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from langchain_community.chat_models.yandex import ChatYandexGPT
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def test_yandexgpt_initialization() -> None:
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llm = ChatYandexGPT(
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iam_token="your_iam_token", # type: ignore[arg-type]
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api_key="your_api_key", # type: ignore[arg-type]
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folder_id="your_folder_id",
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)
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assert llm.model_name == "yandexgpt-lite"
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assert llm.model_uri.startswith("gpt://your_folder_id/yandexgpt-lite/")
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def test_yandexgpt_model_params() -> None:
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llm = ChatYandexGPT(
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model_name="custom-model",
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model_version="v1",
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iam_token="your_iam_token", # type: ignore[arg-type]
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api_key="your_api_key", # type: ignore[arg-type]
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folder_id="your_folder_id",
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)
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assert llm.model_name == "custom-model"
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assert llm.model_version == "v1"
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assert llm.iam_token.get_secret_value() == "your_iam_token"
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assert llm.model_uri == "gpt://your_folder_id/custom-model/v1"
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def test_yandexgpt_invalid_model_params() -> None:
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with pytest.raises(ValueError):
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ChatYandexGPT(model_uri="", iam_token="your_iam_token") # type: ignore[arg-type]
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with pytest.raises(ValueError):
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ChatYandexGPT(
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iam_token="", # type: ignore[arg-type]
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api_key="your_api_key", # type: ignore[arg-type]
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model_uri="",
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)
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@pytest.mark.parametrize(
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"api_key_or_token", [dict(api_key="bogus"), dict(iam_token="bogus")]
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)
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@pytest.mark.parametrize(
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"disable_logging",
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[dict(), dict(disable_request_logging=True), dict(disable_request_logging=False)],
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)
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@mock.patch.dict(os.environ, {}, clear=True)
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def test_completion_call(api_key_or_token: dict, disable_logging: dict) -> None:
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absent_yandex_module_stub = MagicMock()
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grpc_mock = MagicMock()
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with mock.patch.dict(
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"sys.modules",
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{
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"yandex.cloud.ai.foundation_models.v1."
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"text_common_pb2": absent_yandex_module_stub,
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"yandex.cloud.ai.foundation_models.v1.text_generation."
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"text_generation_service_pb2": absent_yandex_module_stub,
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"yandex.cloud.ai.foundation_models.v1.text_generation."
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"text_generation_service_pb2_grpc": absent_yandex_module_stub,
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"grpc": grpc_mock,
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},
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):
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grpc_mock.RpcError = Exception
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stub = absent_yandex_module_stub.TextGenerationServiceStub
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request_stub = absent_yandex_module_stub.CompletionRequest
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msg_constructor_stub = absent_yandex_module_stub.Message
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args = {"folder_id": "fldr", **api_key_or_token, **disable_logging}
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ygpt = ChatYandexGPT(**args)
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grpc_call_mock = stub.return_value.Completion
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msg_mock = mock.Mock()
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msg_mock.message.text = "cmpltn"
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res_mock = mock.Mock()
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res_mock.alternatives = [msg_mock]
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grpc_call_mock.return_value = [res_mock]
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act_emb = ygpt.invoke("nomatter")
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assert act_emb.content == "cmpltn"
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assert len(grpc_call_mock.call_args_list) == 1
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once_called_args = grpc_call_mock.call_args_list[0]
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act_model_uri = request_stub.call_args_list[0].kwargs["model_uri"]
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act_text = msg_constructor_stub.call_args_list[0].kwargs["text"]
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act_metadata = once_called_args.kwargs["metadata"]
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assert "fldr" in act_model_uri
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assert act_text == "nomatter"
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assert act_metadata
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assert len(act_metadata) > 0
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if disable_logging.get("disable_request_logging"):
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assert ("x-data-logging-enabled", "false") in act_metadata
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