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community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)

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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
This commit is contained in:
Bagatur
2023-12-11 13:53:30 -08:00
committed by GitHub
parent c0f4b95aa9
commit ed58eeb9c5
2446 changed files with 171805 additions and 137118 deletions
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42
libs/community/tests/unit_tests/retrievers/test_svm.py Normal file
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import pytest
from langchain_core.documents import Document
from langchain_community.embeddings import FakeEmbeddings
from langchain_community.retrievers.svm import SVMRetriever
class TestSVMRetriever:
@pytest.mark.requires("sklearn")
def test_from_texts(self) -> None:
input_texts = ["I have a pen.", "Do you have a pen?", "I have a bag."]
svm_retriever = SVMRetriever.from_texts(
texts=input_texts, embeddings=FakeEmbeddings(size=100)
)
assert len(svm_retriever.texts) == 3
@pytest.mark.requires("sklearn")
def test_from_documents(self) -> None:
input_docs = [
Document(page_content="I have a pen.", metadata={"foo": "bar"}),
Document(page_content="Do you have a pen?"),
Document(page_content="I have a bag."),
]
svm_retriever = SVMRetriever.from_documents(
documents=input_docs, embeddings=FakeEmbeddings(size=100)
)
assert len(svm_retriever.texts) == 3
@pytest.mark.requires("sklearn")
def test_metadata_persists(self) -> None:
input_docs = [
Document(page_content="I have a pen.", metadata={"foo": "bar"}),
Document(page_content="How about you?", metadata={"foo": "baz"}),
Document(page_content="I have a bag.", metadata={"foo": "qux"}),
]
svm_retriever = SVMRetriever.from_documents(
documents=input_docs, embeddings=FakeEmbeddings(size=100)
)
query = "Have anything?"
output_docs = svm_retriever.get_relevant_documents(query=query)
for doc in output_docs:
assert "foo" in doc.metadata