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75 lines
2.4 KiB
Python
75 lines
2.4 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.entity.message import PromptMessage, MessageType
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from core.model_providers.models.entity.model_params import ModelKwargs, ModelType
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from core.model_providers.models.llm.xinference_model import XinferenceModel
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from core.model_providers.providers.xinference_provider import XinferenceProvider
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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='xinference',
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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_model(model_name, mocker):
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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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server_url = os.environ['XINFERENCE_SERVER_URL']
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model_uid = os.environ['XINFERENCE_MODEL_UID']
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model_provider = XinferenceProvider(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='xinference',
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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({
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'server_url': server_url,
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'model_uid': model_uid
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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 XinferenceModel(
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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, mocker):
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model = get_mock_model('llama-2-chat', mocker)
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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 == 5
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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('llama-2-chat', mocker)
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messages = [PromptMessage(content='Human: 1+1=? \nAnswer: ')]
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rst = model.run(
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messages
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)
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assert len(rst.content) > 0
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