feat: add support for Elastcisearch as vector data source (#402)

tests/vectordb/test_elasticsearch_db.py

@@ -0,0 +1,33 @@
+import unittest
+from unittest.mock import Mock
+
+from embedchain.config import ElasticsearchDBConfig
+from embedchain.vectordb.elasticsearch_db import ElasticsearchDB
+
+
+class TestEsDB(unittest.TestCase):
+    def setUp(self):
+        self.es_config = ElasticsearchDBConfig()
+        self.vector_dim = 384
+
+    def test_init_with_invalid_embedding_fn(self):
+        # Test if an exception is raised when an invalid embedding_fn is provided
+        with self.assertRaises(ValueError):
+            ElasticsearchDB(embedding_fn=None)
+
+    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(embedding_fn=Mock(), es_config=None)
+
+    def test_init_with_invalid_vector_dim(self):
+        # Test if an exception is raised when an invalid vector_dim is provided
+        with self.assertRaises(ValueError):
+            ElasticsearchDB(embedding_fn=Mock(), es_config=self.es_config, vector_dim=None)
+
+    def test_init_with_invalid_collection_name(self):
+        # Test if an exception is raised when an invalid collection_name is provided
+        with self.assertRaises(ValueError):
+            ElasticsearchDB(
+                embedding_fn=Mock(), es_config=self.es_config, vector_dim=self.vector_dim, collection_name=None
+            )