test_qa_pair_mining.py•2.96 kB
# Copyright (c) 2023 Baidu, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import os
import appbuilder
class TestQAPairMiningComponent(unittest.TestCase):
def setUp(self):
"""
设置环境变量。
Args:
无参数，默认值为空。
Returns:
无返回值，方法中执行了环境变量的赋值操作。
"""
self.model_name = "ERNIE-3.5-8K"
self.node = appbuilder.QAPairMining(model=self.model_name)
def test_run_with_default_params(self):
"""测试 run 方法使用默认参数"""
query = "2017年，工商银行根据外部宏观环境变化..."
msg = appbuilder.Message(query)
answer = self.node(msg)
self.assertIsNotNone(answer)
self.assertIn("问题", answer.content)
self.assertIn("答案", answer.content)
# def test_run_with_custom_params(self):
# """测试 run 方法使用自定义参数"""
# query = "2017年，工商银行根据外部宏观环境变化..."
# msg = appbuilder.Message(query)
# answer = self.node(msg, stream=True, temperature=0.5)
# self.assertIsNotNone(answer)
# # 检查 answer 是否符合预期
def test_run_with_invalid_params(self):
"""测试 run 方法使用无效参数"""
query = "2017年，工商银行根据外部宏观环境变化..."
msg = appbuilder.Message(query)
with self.assertRaises((ValueError, TypeError)):
self.node(msg, invalid_param="invalid")
def test_tool_eval_valid(self):
"""测试 tool 方法对有效请求的处理。"""
params = {
'name': 'qa_pair_mining',
'query': '2017年，工商银行根据外部宏观环境变化...'
}
result = self.node.tool_eval(streaming=True, **params)
res = [item for item in result]
self.assertNotEqual(len(res), 0)
result = self.node.tool_eval(streaming=False, **params)
res = [item for item in result]
def test_tool_eval_invalid(self):
"""测试 tool 方法对无效请求的处理。"""
with self.assertRaises(ValueError):
params = {
'name': 'qa_pair_mining'
}
result = self.node.tool_eval(streaming=True, **params)
next(result)
if __name__ == '__main__':
unittest.main()