miendinh f104b930cf
feat: support elasticsearch vector database (#3558)
Co-authored-by: miendinh <miendinh@users.noreply.github.com>
Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>
Co-authored-by: crazywoola <427733928@qq.com>
2024-08-13 17:36:20 +08:00

26 lines
840 B
Python

from core.rag.datasource.vdb.elasticsearch.elasticsearch_vector import ElasticSearchConfig, ElasticSearchVector
from tests.integration_tests.vdb.test_vector_store import (
AbstractVectorTest,
setup_mock_redis,
)
class ElasticSearchVectorTest(AbstractVectorTest):
def __init__(self):
super().__init__()
self.attributes = ['doc_id', 'dataset_id', 'document_id', 'doc_hash']
self.vector = ElasticSearchVector(
index_name=self.collection_name.lower(),
config=ElasticSearchConfig(
host='http://localhost',
port='9200',
username='elastic',
password='elastic'
),
attributes=self.attributes
)
def test_elasticsearch_vector(setup_mock_redis):
ElasticSearchVectorTest().run_all_tests()