import json import os from unittest.mock import patch from langchain.schema import ChatGeneration, AIMessage, Generation from core.model_providers.models.entity.message import PromptMessage, MessageType from core.model_providers.models.entity.model_params import ModelKwargs from core.model_providers.models.llm.minimax_model import MinimaxModel from core.model_providers.models.llm.spark_model import SparkModel from core.model_providers.providers.minimax_provider import MinimaxProvider from core.model_providers.providers.spark_provider import SparkProvider from models.provider import Provider, ProviderType def get_mock_provider(valid_app_id, valid_api_key, valid_api_secret): return Provider( id='provider_id', tenant_id='tenant_id', provider_name='spark', provider_type=ProviderType.CUSTOM.value, encrypted_config=json.dumps({ 'app_id': valid_app_id, 'api_key': valid_api_key, 'api_secret': valid_api_secret, }), is_valid=True, ) def get_mock_model(model_name): model_kwargs = ModelKwargs( max_tokens=10, temperature=0.01 ) valid_app_id = os.environ['SPARK_APP_ID'] valid_api_key = os.environ['SPARK_API_KEY'] valid_api_secret = os.environ['SPARK_API_SECRET'] model_provider = SparkProvider(provider=get_mock_provider(valid_app_id, valid_api_key, valid_api_secret)) return SparkModel( model_provider=model_provider, name=model_name, model_kwargs=model_kwargs ) def decrypt_side_effect(tenant_id, encrypted_api_key): return encrypted_api_key @patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect) def test_get_num_tokens(mock_decrypt): model = get_mock_model('spark') rst = model.get_num_tokens([ PromptMessage(type=MessageType.HUMAN, content='Who is your manufacturer?') ]) assert rst == 6 @patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect) def test_run(mock_decrypt, mocker): mocker.patch('core.model_providers.providers.base.BaseModelProvider.update_last_used', return_value=None) model = get_mock_model('spark') messages = [PromptMessage(content='Human: 1 + 1=? \nAssistant: Integer answer is:')] rst = model.run( messages, stop=['\nHuman:'], ) assert len(rst.content) > 0