dify/api/tests/integration_tests/models/llm/test_openllm_model.py
2023-08-20 19:04:33 +08:00

73 lines
2.3 KiB
Python

import json
import os
from unittest.mock import patch, MagicMock
from core.model_providers.models.entity.message import PromptMessage, MessageType
from core.model_providers.models.entity.model_params import ModelKwargs, ModelType
from core.model_providers.models.llm.openllm_model import OpenLLMModel
from core.model_providers.providers.openllm_provider import OpenLLMProvider
from models.provider import Provider, ProviderType, ProviderModel
def get_mock_provider():
return Provider(
id='provider_id',
tenant_id='tenant_id',
provider_name='openllm',
provider_type=ProviderType.CUSTOM.value,
encrypted_config='',
is_valid=True,
)
def get_mock_model(model_name, mocker):
model_kwargs = ModelKwargs(
max_tokens=10,
temperature=0.01
)
server_url = os.environ['OPENLLM_SERVER_URL']
model_provider = OpenLLMProvider(provider=get_mock_provider())
mock_query = MagicMock()
mock_query.filter.return_value.first.return_value = ProviderModel(
provider_name='openllm',
model_name=model_name,
model_type=ModelType.TEXT_GENERATION.value,
encrypted_config=json.dumps({
'server_url': server_url
}),
is_valid=True,
)
mocker.patch('extensions.ext_database.db.session.query', return_value=mock_query)
return OpenLLMModel(
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, mocker):
model = get_mock_model('facebook/opt-125m', mocker)
rst = model.get_num_tokens([
PromptMessage(type=MessageType.HUMAN, content='Who is your manufacturer?')
])
assert rst == 5
@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('facebook/opt-125m', mocker)
messages = [PromptMessage(content='Human: who are you? \nAnswer: ')]
rst = model.run(
messages
)
assert len(rst.content) > 0