2022-11-20 04:32:45 +00:00
|
|
|
"""Test ElasticSearch functionality."""
|
|
|
|
|
|
|
|
from langchain.docstore.document import Document
|
|
|
|
from langchain.vectorstores.elastic_vector_search import ElasticVectorSearch
|
2023-02-03 06:05:47 +00:00
|
|
|
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
|
2022-11-20 04:32:45 +00:00
|
|
|
|
|
|
|
|
|
|
|
def test_elasticsearch() -> None:
|
|
|
|
"""Test end to end construction and search."""
|
|
|
|
texts = ["foo", "bar", "baz"]
|
|
|
|
docsearch = ElasticVectorSearch.from_texts(
|
|
|
|
texts, FakeEmbeddings(), elasticsearch_url="http://localhost:9200"
|
|
|
|
)
|
|
|
|
output = docsearch.similarity_search("foo", k=1)
|
|
|
|
assert output == [Document(page_content="foo")]
|
|
|
|
|
|
|
|
|
|
|
|
def test_elasticsearch_with_metadatas() -> None:
|
|
|
|
"""Test end to end construction and search."""
|
|
|
|
texts = ["foo", "bar", "baz"]
|
|
|
|
metadatas = [{"page": i} for i in range(len(texts))]
|
|
|
|
docsearch = ElasticVectorSearch.from_texts(
|
|
|
|
texts,
|
|
|
|
FakeEmbeddings(),
|
|
|
|
metadatas=metadatas,
|
|
|
|
elasticsearch_url="http://localhost:9200",
|
|
|
|
)
|
|
|
|
output = docsearch.similarity_search("foo", k=1)
|
|
|
|
assert output == [Document(page_content="foo", metadata={"page": 0})]
|