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test_public_api.py — langchain Source File

Architecture documentation for test_public_api.py, a python file in the langchain codebase. 1 imports, 0 dependents.

File python CoreAbstractions RunnableInterface 1 imports 1 functions

Entity Profile

Dependency Diagram

graph LR
  3b78794c_f36f_49fb_4e72_a31cc22645cd["test_public_api.py"]
  d32f0499_de0b_fca7_c095_826e513805a3["langchain_classic.vectorstores"]
  3b78794c_f36f_49fb_4e72_a31cc22645cd --> d32f0499_de0b_fca7_c095_826e513805a3
  style 3b78794c_f36f_49fb_4e72_a31cc22645cd fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""Test the public API of the tools package."""

from langchain_classic.vectorstores import __all__ as public_api

_EXPECTED = [
    "AlibabaCloudOpenSearch",
    "AlibabaCloudOpenSearchSettings",
    "AnalyticDB",
    "Annoy",
    "AstraDB",
    "AtlasDB",
    "AwaDB",
    "AzureCosmosDBVectorSearch",
    "AzureSearch",
    "Bagel",
    "Cassandra",
    "Chroma",
    "Clarifai",
    "Clickhouse",
    "ClickhouseSettings",
    "DashVector",
    "DatabricksVectorSearch",
    "DeepLake",
    "Dingo",
    "DocArrayHnswSearch",
    "DocArrayInMemorySearch",
    "DuckDB",
    "EcloudESVectorStore",
    "ElasticKnnSearch",
    "ElasticsearchStore",
    "ElasticVectorSearch",
    "Epsilla",
    "FAISS",
    "Hologres",
    "LanceDB",
    "LLMRails",
    "Marqo",
    "MatchingEngine",
    "Meilisearch",
    "Milvus",
    "MomentoVectorIndex",
    "MongoDBAtlasVectorSearch",
    "MyScale",
    "MyScaleSettings",
    "Neo4jVector",
    "NeuralDBClientVectorStore",
    "NeuralDBVectorStore",
    "OpenSearchVectorSearch",
    "PGEmbedding",
    "PGVector",
    "Pinecone",
    "Qdrant",
    "Redis",
    "Rockset",
    "ScaNN",
    "SemaDB",
    "SingleStoreDB",
    "SKLearnVectorStore",
    "SQLiteVSS",
    "StarRocks",
    "SupabaseVectorStore",
    "Tair",
    "TencentVectorDB",
    "TileDB",
    "TimescaleVector",
    "Typesense",
    "USearch",
    "Vald",
    "Vearch",
    "Vectara",
    "VectorStore",
    "VespaStore",
    "Weaviate",
    "Yellowbrick",
    "ZepVectorStore",
    "Zilliz",
]


def test_public_api() -> None:
    """Test for regressions or changes in the public API."""
    # Check that the public API is as expected
    assert set(public_api) == set(_EXPECTED)

Domain

Subdomains

Functions

Dependencies

  • langchain_classic.vectorstores

Source

Frequently Asked Questions

What does test_public_api.py do?
test_public_api.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, RunnableInterface subdomain.
What functions are defined in test_public_api.py?
test_public_api.py defines 1 function(s): test_public_api.
What does test_public_api.py depend on?
test_public_api.py imports 1 module(s): langchain_classic.vectorstores.
Where is test_public_api.py in the architecture?
test_public_api.py is located at libs/langchain/tests/unit_tests/vectorstores/test_public_api.py (domain: CoreAbstractions, subdomain: RunnableInterface, directory: libs/langchain/tests/unit_tests/vectorstores).

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