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80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
import json
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import os
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from unittest.mock import patch
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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.zhipuai_model import ZhipuAIModel
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from core.model_providers.providers.zhipuai_provider import ZhipuAIProvider
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from models.provider import Provider, ProviderType
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def get_mock_provider(valid_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='zhipuai',
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provider_type=ProviderType.CUSTOM.value,
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encrypted_config=json.dumps({
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'api_key': valid_api_key
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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: str, streaming: bool = False):
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model_kwargs = ModelKwargs(
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temperature=0.01,
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)
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valid_api_key = os.environ['ZHIPUAI_API_KEY']
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model_provider = ZhipuAIProvider(provider=get_mock_provider(valid_api_key))
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return ZhipuAIModel(
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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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streaming=streaming
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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_chat_get_num_tokens(mock_decrypt):
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model = get_mock_model('chatglm_lite')
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rst = 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.USER, content='Who is your manufacturer?')
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])
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assert rst > 0
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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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model = get_mock_model('chatglm_lite')
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messages = [
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PromptMessage(type=MessageType.USER, content='Are you Human? you MUST only answer `y` or `n`?')
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]
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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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@patch('core.helper.encrypter.decrypt_token', side_effect=decrypt_side_effect)
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def test_chat_stream_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('chatglm_lite', streaming=True)
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messages = [
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PromptMessage(type=MessageType.USER, content='Are you Human? you MUST only answer `y` or `n`?')
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]
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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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