mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
ed58eeb9c5
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
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
import pytest
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from pytest_mock import MockerFixture
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from langchain_community.document_loaders import AssemblyAIAudioTranscriptLoader
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from langchain_community.document_loaders.assemblyai import TranscriptFormat
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@pytest.mark.requires("assemblyai")
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def test_initialization() -> None:
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loader = AssemblyAIAudioTranscriptLoader(
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file_path="./testfile.mp3", api_key="api_key"
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)
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assert loader.file_path == "./testfile.mp3"
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assert loader.transcript_format == TranscriptFormat.TEXT
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@pytest.mark.requires("assemblyai")
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def test_load(mocker: MockerFixture) -> None:
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mocker.patch(
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"assemblyai.Transcriber.transcribe",
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return_value=mocker.MagicMock(
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text="Test transcription text", json_response={"id": "1"}, error=None
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),
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)
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loader = AssemblyAIAudioTranscriptLoader(
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file_path="./testfile.mp3", api_key="api_key"
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)
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docs = loader.load()
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assert len(docs) == 1
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assert docs[0].page_content == "Test transcription text"
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assert docs[0].metadata == {"id": "1"}
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@pytest.mark.requires("assemblyai")
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def test_transcription_error(mocker: MockerFixture) -> None:
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mocker.patch(
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"assemblyai.Transcriber.transcribe",
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return_value=mocker.MagicMock(error="Test error"),
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)
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loader = AssemblyAIAudioTranscriptLoader(
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file_path="./testfile.mp3", api_key="api_key"
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)
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expected_error = "Could not transcribe file: Test error"
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with pytest.raises(ValueError, match=expected_error):
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loader.load()
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