Files
t6_mem0/tests/vectordb/test_elasticsearch_db.py

30 lines
1.1 KiB
Python

import unittest
from embedchain.config import ElasticsearchDBConfig
from embedchain.embedder.base import BaseEmbedder
from embedchain.vectordb.elasticsearch import ElasticsearchDB
class TestEsDB(unittest.TestCase):
def setUp(self):
self.es_config = ElasticsearchDBConfig()
self.vector_dim = 384
def test_init_with_invalid_es_config(self):
# Test if an exception is raised when an invalid es_config is provided
with self.assertRaises(ValueError):
ElasticsearchDB(es_config=None)
def test_init_with_invalid_vector_dim(self):
# Test if an exception is raised when an invalid vector_dim is provided
embedder = BaseEmbedder()
embedder.set_vector_dimension(None)
with self.assertRaises(ValueError):
ElasticsearchDB(es_config=self.es_config)
def test_init_with_invalid_collection_name(self):
# Test if an exception is raised when an invalid collection_name is provided
self.es_config.collection_name = None
with self.assertRaises(ValueError):
ElasticsearchDB(es_config=self.es_config)