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#1	from unittest.mock import Mock, patch
#2
#3	import pytest
#4
#5	from mem0.configs.embeddings.base import BaseEmbedderConfig
#6	from mem0.embeddings.openai import OpenAIEmbedding
#7
#8
#9	@pytest.fixture
#10	def mock_openai_client():
#11	with patch("mem0.embeddings.openai.OpenAI") as mock_openai:
#12	mock_client = Mock()
#13	mock_openai.return_value = mock_client
#14	yield mock_client
#15
#16
#17	def test_embed_default_model(mock_openai_client):
#18	config = BaseEmbedderConfig()
#19	embedder = OpenAIEmbedding(config)
#20	mock_response = Mock()
#21	mock_response.data = [Mock(embedding=[0.1, 0.2, 0.3])]
#22	mock_openai_client.embeddings.create.return_value = mock_response
#23
#24	result = embedder.embed("Hello world")
#25
#26	mock_openai_client.embeddings.create.assert_called_once_with(
#27	input=["Hello world"], model="text-embedding-3-small", dimensions=1536
#28	)
#29	assert result == [0.1, 0.2, 0.3]
#30
#31
#32	def test_embed_custom_model(mock_openai_client):
#33	config = BaseEmbedderConfig(model="text-embedding-2-medium", embedding_dims=1024)
#34	embedder = OpenAIEmbedding(config)
#35	mock_response = Mock()
#36	mock_response.data = [Mock(embedding=[0.4, 0.5, 0.6])]
#37	mock_openai_client.embeddings.create.return_value = mock_response
#38
#39	result = embedder.embed("Test embedding")
#40
#41	mock_openai_client.embeddings.create.assert_called_once_with(
#42	input=["Test embedding"], model="text-embedding-2-medium", dimensions=1024
#43	)
#44	assert result == [0.4, 0.5, 0.6]
#45
#46
#47	def test_embed_removes_newlines(mock_openai_client):
#48	config = BaseEmbedderConfig()
#49	embedder = OpenAIEmbedding(config)
#50	mock_response = Mock()
#51	mock_response.data = [Mock(embedding=[0.7, 0.8, 0.9])]
#52	mock_openai_client.embeddings.create.return_value = mock_response
#53
#54	result = embedder.embed("Hello\nworld")
#55
#56	mock_openai_client.embeddings.create.assert_called_once_with(
#57	input=["Hello world"], model="text-embedding-3-small", dimensions=1536
#58	)
#59	assert result == [0.7, 0.8, 0.9]
#60
#61
#62	def test_embed_without_api_key_env_var(mock_openai_client):
#63	config = BaseEmbedderConfig(api_key="test_key")
#64	embedder = OpenAIEmbedding(config)
#65	mock_response = Mock()
#66	mock_response.data = [Mock(embedding=[1.0, 1.1, 1.2])]
#67	mock_openai_client.embeddings.create.return_value = mock_response
#68
#69	result = embedder.embed("Testing API key")
#70
#71	mock_openai_client.embeddings.create.assert_called_once_with(
#72	input=["Testing API key"], model="text-embedding-3-small", dimensions=1536
#73	)
#74	assert result == [1.0, 1.1, 1.2]
#75
#76
#77	def test_embed_uses_environment_api_key(mock_openai_client, monkeypatch):
#78	monkeypatch.setenv("OPENAI_API_KEY", "env_key")
#79	config = BaseEmbedderConfig()
#80	embedder = OpenAIEmbedding(config)
#81	mock_response = Mock()
#82	mock_response.data = [Mock(embedding=[1.3, 1.4, 1.5])]
#83	mock_openai_client.embeddings.create.return_value = mock_response
#84
#85	result = embedder.embed("Environment key test")
#86
#87	mock_openai_client.embeddings.create.assert_called_once_with(
#88	input=["Environment key test"], model="text-embedding-3-small", dimensions=1536
#89	)
#90	assert result == [1.3, 1.4, 1.5]
#91

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