mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +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
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
import pytest
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from langchain_community.document_loaders.bigquery import BigQueryLoader
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try:
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from google.cloud import bigquery # noqa: F401
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bigquery_installed = True
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except ImportError:
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bigquery_installed = False
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@pytest.mark.skipif(not bigquery_installed, reason="bigquery not installed")
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def test_bigquery_loader_no_options() -> None:
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loader = BigQueryLoader("SELECT 1 AS a, 2 AS b")
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docs = loader.load()
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assert len(docs) == 1
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assert docs[0].page_content == "a: 1\nb: 2"
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assert docs[0].metadata == {}
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@pytest.mark.skipif(not bigquery_installed, reason="bigquery not installed")
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def test_bigquery_loader_page_content_columns() -> None:
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loader = BigQueryLoader(
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"SELECT 1 AS a, 2 AS b UNION ALL SELECT 3 AS a, 4 AS b",
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page_content_columns=["a"],
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)
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docs = loader.load()
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assert len(docs) == 2
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assert docs[0].page_content == "a: 1"
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assert docs[0].metadata == {}
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assert docs[1].page_content == "a: 3"
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assert docs[1].metadata == {}
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@pytest.mark.skipif(not bigquery_installed, reason="bigquery not installed")
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def test_bigquery_loader_metadata_columns() -> None:
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loader = BigQueryLoader(
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"SELECT 1 AS a, 2 AS b",
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page_content_columns=["a"],
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metadata_columns=["b"],
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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 == "a: 1"
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assert docs[0].metadata == {"b": 2}
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