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84 lines
3.0 KiB
Python
84 lines
3.0 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 Generation, ChatGeneration, AIMessage
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from core.model_providers.providers.openai_provider import OpenAIProvider
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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.openai_model import OpenAIModel
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from models.provider import Provider, ProviderType
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def get_mock_provider(valid_openai_api_key):
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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='openai',
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provider_type=ProviderType.CUSTOM.value,
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encrypted_config=json.dumps({'openai_api_key': valid_openai_api_key}),
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is_valid=True,
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)
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def get_mock_openai_model(model_name):
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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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model_name = model_name
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valid_openai_api_key = os.environ['OPENAI_API_KEY']
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openai_provider = OpenAIProvider(provider=get_mock_provider(valid_openai_api_key))
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return OpenAIModel(
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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):
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openai_model = get_mock_openai_model('text-davinci-003')
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rst = openai_model.get_num_tokens([PromptMessage(content='you are a kindness Assistant.')])
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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_chat_get_num_tokens(mock_decrypt):
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openai_model = get_mock_openai_model('gpt-3.5-turbo')
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rst = openai_model.get_num_tokens([
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PromptMessage(type=MessageType.SYSTEM, content='you are a kindness Assistant.'),
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PromptMessage(type=MessageType.HUMAN, content='Who is your manufacturer?')
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])
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assert rst == 22
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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_openai_model('text-davinci-003')
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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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assert rst.content.strip() == 'n'
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@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
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def test_chat_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_openai_model('gpt-3.5-turbo')
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messages = [PromptMessage(content='Human: Are you Human? you MUST only answer `y` or `n`? \nAssistant: ')]
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rst = openai_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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