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langchain/libs/community/tests/unit_tests/retrievers/test_imports.py

50 lines
1.3 KiB
Python

from langchain_community.retrievers import __all__, _module_lookup
EXPECTED_ALL = [
"AmazonKendraRetriever",
"AmazonKnowledgeBasesRetriever",
"ArceeRetriever",
"ArxivRetriever",
"AzureAISearchRetriever",
"AzureCognitiveSearchRetriever",
"BreebsRetriever",
"ChatGPTPluginRetriever",
"ChaindeskRetriever",
"CohereRagRetriever",
"DriaRetriever",
"ElasticSearchBM25Retriever",
"EmbedchainRetriever",
"GoogleDocumentAIWarehouseRetriever",
"GoogleCloudEnterpriseSearchRetriever",
"GoogleVertexAIMultiTurnSearchRetriever",
"GoogleVertexAISearchRetriever",
"KayAiRetriever",
"KNNRetriever",
"LlamaIndexGraphRetriever",
"LlamaIndexRetriever",
"MetalRetriever",
"MilvusRetriever",
"OutlineRetriever",
"PineconeHybridSearchRetriever",
"PubMedRetriever",
"QdrantSparseVectorRetriever",
"RemoteLangChainRetriever",
"SVMRetriever",
"TavilySearchAPIRetriever",
"TFIDFRetriever",
"BM25Retriever",
"VespaRetriever",
"WeaviateHybridSearchRetriever",
"WikipediaRetriever",
community: Add you.com utility, update you retriever integration docs (#17014) <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description: changes to you.com files** - general cleanup - adds community/utilities/you.py, moving bulk of code from retriever -> utility - removes `snippet` as endpoint - adds `news` as endpoint - adds more tests <s>**Description: update community MAKE file** - adds `integration_tests` - adds `coverage`</s> - **Issue:** the issue # it fixes if applicable, - [For New Contributors: Update Integration Documentation](https://github.com/langchain-ai/langchain/issues/15664#issuecomment-1920099868) - **Dependencies:** n/a - **Twitter handle:** @scottnath - **Mastodon handle:** scottnath@mastodon.social --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
"YouRetriever",
"ZepRetriever",
"ZillizRetriever",
"DocArrayRetriever",
"NeuralDBRetriever",
]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
assert set(__all__) == set(_module_lookup.keys())