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71 lines
2.3 KiB
Python
71 lines
2.3 KiB
Python
import json
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import os
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from unittest.mock import patch
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from langchain.schema import ChatGeneration, AIMessage, Generation
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from core.model_providers.models.entity.message import PromptMessage, MessageType
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from core.model_providers.models.entity.model_params import ModelKwargs
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from core.model_providers.models.llm.minimax_model import MinimaxModel
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from core.model_providers.models.llm.spark_model import SparkModel
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from core.model_providers.providers.minimax_provider import MinimaxProvider
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from core.model_providers.providers.spark_provider import SparkProvider
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from models.provider import Provider, ProviderType
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def get_mock_provider(valid_app_id, valid_api_key, valid_api_secret):
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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='spark',
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provider_type=ProviderType.CUSTOM.value,
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encrypted_config=json.dumps({
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'app_id': valid_app_id,
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'api_key': valid_api_key,
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'api_secret': valid_api_secret,
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}),
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is_valid=True,
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)
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def get_mock_model(model_name):
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model_kwargs = ModelKwargs(
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max_tokens=10,
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temperature=0.01
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)
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valid_app_id = os.environ['SPARK_APP_ID']
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valid_api_key = os.environ['SPARK_API_KEY']
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valid_api_secret = os.environ['SPARK_API_SECRET']
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model_provider = SparkProvider(provider=get_mock_provider(valid_app_id, valid_api_key, valid_api_secret))
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return SparkModel(
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model_provider=model_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_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_get_num_tokens(mock_decrypt):
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model = get_mock_model('spark')
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rst = model.get_num_tokens([
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PromptMessage(type=MessageType.HUMAN, content='Who is your manufacturer?')
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])
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assert rst == 6
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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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model = get_mock_model('spark')
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messages = [PromptMessage(content='Human: 1 + 1=? \nAssistant: Integer answer is:')]
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rst = model.run(
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messages,
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stop=['\nHuman:'],
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)
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assert len(rst.content) > 0
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