Skip to main content
Glama

baidu-ai-search

Official
by baidubce
test_landmark_recognize.py2.84 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 os import unittest import requests import appbuilder from appbuilder.core.message import Message @unittest.skipUnless(os.getenv("TEST_CASE", "UNKNOWN") == "CPU_PARALLEL", "") class TestLandmarkRecognition(unittest.TestCase): def setUp(self): """ 设置环境变量。 Args: None Returns: None. """ self.landmark_recognition = appbuilder.LandmarkRecognition() image_url = "https://bj.bcebos.com/v1/appbuilder/landmark_test.jpeg?" \ "authorization=bce-auth-v1%2FALTAKGa8m4qCUasgoljdEDAzLm%2F2024-01-" \ "11T10%3A59%3A56Z%2F-1%2Fhost%2Fc249a068c6f321b91" \ "da0d0fd629b26ded58dcac2b6a3674f32378f5eb8df1ed0" self.raw_image = requests.get(image_url).content def test_run_with_raw_image(self): """ 使用原始图片进行单测 Args: None Returns: None """ # Create message with raw_image message = Message(content={"raw_image": self.raw_image}) # Recognize landmark output = self.landmark_recognition.run(message) # Assert output is not None self.assertIsNotNone(output) def test_run_with_no_image(self): """ Testing run method with no image. This should raise a ValueError. Args: None Returns: None """ # create empty message message = Message(content={}) # Assert ValueError is raised with self.assertRaises(ValueError): self.landmark_recognition.run(message) def test_run_with_timeout_and_retry(self): """ Testing run method with timeout and retry parameters. Args: None Returns: None """ # Create message with raw_image message = Message(content={"raw_image": self.raw_image}) # Recognize landmark with timeout and retry parameters output = self.landmark_recognition.run(message, timeout=5.0, retry=3) # Assert output is not None self.assertIsNotNone(output) if __name__ == '__main__': unittest.main()

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/baidubce/app-builder'

If you have feedback or need assistance with the MCP directory API, please join our Discord server