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
62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
from pathlib import Path
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import pytest
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from langchain_community.document_loaders.bibtex import BibtexLoader
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BIBTEX_EXAMPLE_FILE = Path(__file__).parent / "sample_documents" / "bibtex.bib"
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@pytest.mark.requires("fitz", "bibtexparser")
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def test_load_success() -> None:
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"""Test that returns one document"""
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loader = BibtexLoader(file_path=str(BIBTEX_EXAMPLE_FILE))
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docs = loader.load()
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assert len(docs) == 1
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doc = docs[0]
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assert doc.page_content
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assert set(doc.metadata) == {
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"id",
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"published_year",
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"title",
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"publication",
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"authors",
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"abstract",
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}
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@pytest.mark.requires("fitz", "bibtexparser")
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def test_load_max_content_chars() -> None:
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"""Test that cuts off document contents at max_content_chars."""
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loader = BibtexLoader(file_path=str(BIBTEX_EXAMPLE_FILE), max_content_chars=10)
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doc = loader.load()[0]
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assert len(doc.page_content) == 10
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@pytest.mark.requires("fitz", "bibtexparser")
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def test_load_load_extra_metadata() -> None:
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"""Test that returns extra metadata fields."""
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loader = BibtexLoader(file_path=str(BIBTEX_EXAMPLE_FILE), load_extra_metadata=True)
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doc = loader.load()[0]
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assert set(doc.metadata) == {
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"id",
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"published_year",
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"title",
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"publication",
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"authors",
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"abstract",
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"booktitle",
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"editor",
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"organization",
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}
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@pytest.mark.requires("fitz", "bibtexparser")
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def test_load_file_pattern() -> None:
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"""Test that returns no documents when json file pattern specified."""
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loader = BibtexLoader(
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file_path=str(BIBTEX_EXAMPLE_FILE), file_pattern=r"[^:]+\.json"
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)
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docs = loader.load()
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assert len(docs) == 0
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