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41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
import json
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import os
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from unittest.mock import patch
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from core.model_providers.providers.openai_provider import OpenAIProvider
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from core.model_providers.models.embedding.openai_embedding import OpenAIEmbedding
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from models.provider import Provider, ProviderType
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def get_mock_provider(valid_openai_api_key):
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return Provider(
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id='provider_id',
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tenant_id='tenant_id',
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provider_name='openai',
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provider_type=ProviderType.CUSTOM.value,
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encrypted_config=json.dumps({'openai_api_key': valid_openai_api_key}),
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is_valid=True,
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)
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def get_mock_openai_embedding_model():
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model_name = 'text-embedding-ada-002'
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valid_openai_api_key = os.environ['OPENAI_API_KEY']
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openai_provider = OpenAIProvider(provider=get_mock_provider(valid_openai_api_key))
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return OpenAIEmbedding(
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model_provider=openai_provider,
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name=model_name
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)
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def decrypt_side_effect(tenant_id, encrypted_openai_api_key):
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return encrypted_openai_api_key
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@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
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def test_embedding(mock_decrypt):
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embedding_model = get_mock_openai_embedding_model()
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rst = embedding_model.client.embed_query('test')
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assert isinstance(rst, list)
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assert len(rst) == 1536
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