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62 lines
1.9 KiB
Python
62 lines
1.9 KiB
Python
import json
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import os
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from unittest.mock import patch, MagicMock
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from core.model_providers.models.embedding.localai_embedding import LocalAIEmbedding
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from core.model_providers.models.entity.model_params import ModelType
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from core.model_providers.providers.localai_provider import LocalAIProvider
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from models.provider import Provider, ProviderType, ProviderModel
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def get_mock_provider():
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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='localai',
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provider_type=ProviderType.CUSTOM.value,
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encrypted_config='',
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is_valid=True,
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)
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def get_mock_embedding_model(mocker):
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model_name = 'text-embedding-ada-002'
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server_url = os.environ['LOCALAI_SERVER_URL']
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model_provider = LocalAIProvider(provider=get_mock_provider())
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mock_query = MagicMock()
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mock_query.filter.return_value.first.return_value = ProviderModel(
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provider_name='localai',
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model_name=model_name,
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model_type=ModelType.EMBEDDINGS.value,
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encrypted_config=json.dumps({
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'server_url': server_url,
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}),
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is_valid=True,
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)
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mocker.patch('extensions.ext_database.db.session.query', return_value=mock_query)
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return LocalAIEmbedding(
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model_provider=model_provider,
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name=model_name
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)
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def decrypt_side_effect(tenant_id, encrypted_api_key):
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return encrypted_api_key
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@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
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def test_embed_documents(mock_decrypt, mocker):
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embedding_model = get_mock_embedding_model(mocker)
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rst = embedding_model.client.embed_documents(['test', 'test1'])
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assert isinstance(rst, list)
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assert len(rst) == 2
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@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
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def test_embed_query(mock_decrypt, mocker):
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embedding_model = get_mock_embedding_model(mocker)
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rst = embedding_model.client.embed_query('test')
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assert isinstance(rst, list)
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