34 lines
1.4 KiB
Python
34 lines
1.4 KiB
Python
import unittest
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from unittest.mock import Mock
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from embedchain.config import ElasticsearchDBConfig
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from embedchain.vectordb.elasticsearch_db import ElasticsearchDB
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class TestEsDB(unittest.TestCase):
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def setUp(self):
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self.es_config = ElasticsearchDBConfig()
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self.vector_dim = 384
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def test_init_with_invalid_embedding_fn(self):
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# Test if an exception is raised when an invalid embedding_fn is provided
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with self.assertRaises(ValueError):
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ElasticsearchDB(embedding_fn=None)
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def test_init_with_invalid_es_config(self):
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# Test if an exception is raised when an invalid es_config is provided
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with self.assertRaises(ValueError):
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ElasticsearchDB(embedding_fn=Mock(), es_config=None)
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def test_init_with_invalid_vector_dim(self):
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# Test if an exception is raised when an invalid vector_dim is provided
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with self.assertRaises(ValueError):
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ElasticsearchDB(embedding_fn=Mock(), es_config=self.es_config, vector_dim=None)
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def test_init_with_invalid_collection_name(self):
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# Test if an exception is raised when an invalid collection_name is provided
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with self.assertRaises(ValueError):
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ElasticsearchDB(
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embedding_fn=Mock(), es_config=self.es_config, vector_dim=self.vector_dim, collection_name=None
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)
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