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69 lines
2.3 KiB
Python
69 lines
2.3 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.llm.localai_model import LocalAIModel
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from core.model_providers.providers.localai_provider import LocalAIProvider
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from core.model_providers.models.entity.message import PromptMessage
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from core.model_providers.models.entity.model_params import ModelKwargs, ModelType
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from models.provider import Provider, ProviderType, ProviderModel
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def get_mock_provider(server_url):
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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=json.dumps({}),
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is_valid=True,
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)
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def get_mock_model(model_name, mocker):
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model_kwargs = ModelKwargs(
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max_tokens=10,
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temperature=0
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)
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server_url = os.environ['LOCALAI_SERVER_URL']
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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.TEXT_GENERATION.value,
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encrypted_config=json.dumps({'server_url': server_url, 'completion_type': 'completion'}),
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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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openai_provider = LocalAIProvider(provider=get_mock_provider(server_url))
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return LocalAIModel(
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model_provider=openai_provider,
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name=model_name,
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model_kwargs=model_kwargs
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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_get_num_tokens(mock_decrypt, mocker):
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openai_model = get_mock_model('ggml-gpt4all-j', mocker)
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rst = openai_model.get_num_tokens([PromptMessage(content='you are a kindness Assistant.')])
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assert rst > 0
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@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
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def test_run(mock_decrypt, mocker):
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mocker.patch('core.model_providers.providers.base.BaseModelProvider.update_last_used', return_value=None)
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openai_model = get_mock_model('ggml-gpt4all-j', mocker)
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rst = openai_model.run(
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[PromptMessage(content='Human: Are you Human? you MUST only answer `y` or `n`? \nAssistant: ')],
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stop=['\nHuman:'],
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)
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assert len(rst.content) > 0
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