如何解决Cherrypy中同源策略导致的跨域问题？

# 添加： cherrypy.response.headers["Access-Control-Allow-Origin"] = "*" cherrypy.response.headers["Access-Control-Allow-Methods"] = "GET, POST, OPTIONS" cherrypy.response.headers["Access-Control-Allow-Headers"] = "Content-Type" cherrypy.response.headers["Access-Control-Allow-Credentials"] = "true" 例如： import cherrypy import os import subprocess import change_format class PreAnnoAsyncHandle: @cherrypy.expose @cherrypy.tools.json_out() def index(self, scene_dir, frame, frame_num): ''' cherrypy - 解决同源策略跨域问题 ''' # ------------------------------------------------------------------------------ cherrypy.response.headers["Access-Control-Allow-Origin"] = "*" cherrypy.response.headers["Access-Control-Allow-Methods"] = "GET, POST, OPTIONS" cherrypy.response.headers["Access-Control-Allow-Headers"] = "Content-Type" cherrypy.response.headers["Access-Control-Allow-Credentials"] = "true" # ------------------------------------------------------------------------------ frame_num = int(frame_num) try: # 同步数据：将标注后的.label文件同步到本地 res_state = subprocess.call(f'sh async_minio_data.sh {scene_dir}', shell=True) print(res_state) # label文件格式转换：将同步后的.label文件转换成本地的.pcd文件 # frame: 当前frame # frame_num: 从当前帧开始标注frame_num+1帧 root_dir = "/data/sse-images/" pcd_dir = root_dir + scene_dir + '/lidar' label_points_dir = root_dir + scene_dir + '/label_points' pcd_labels_dir = "/data/sse-internal/" + scene_dir + '/lidar/' pcd_list = [] file_names = os.listdir(pcd_dir) for file_name in file_names: file_name = str(file_name) if file_name.endswith('.pcd'): pcd_list.append(file_name) pcd_list = sorted(pcd_list) # pcd_name_list：存放pcd名称(不包含.pcd后缀) pcd_name_list = [] for pcd in pcd_list: pcd = str(pcd) pcd_name = pcd.split('.')[0] pcd_name_list.append(pcd_name) print('pcd_name_list\n', pcd_name_list) # 最大索引值 pcd_name_list_length = len(pcd_name_list) # 当前frame索引 current_frame_index = pcd_name_list.index(frame) # 要转换的具体frame名 to_pre_anno_frames = [] # 如果是最后一帧，会超出索引范围，因此需要进行长度判断 if current_frame_index + frame_num + 1 > pcd_name_list_length: max_idx = pcd_name_list_length else: max_idx = current_frame_index + frame_num + 1 for idx in range(current_frame_index, max_idx): name = pcd_name_list[idx] to_pre_anno_frames.append(name) print(to_pre_anno_frames) # 要转换的具体frame的.label文件路径，以及转换后的.pcd文件路径 format_switch_path_list = [] for item in to_pre_anno_frames: label_path = label_points_dir + '/' + item + '.label' pcd_path = pcd_dir + '/' + item + '.pcd' print(label_path, pcd_path) frame_info = { 'label_path': label_path, 'pcd_path': pcd_path } format_switch_path_list.append(frame_info) print(format_switch_path_list) # 开始调用change_format.py程序进行格式转换，将label文件中的内容转换至.pcd文件 # change_format.start_switch() for info_dict in format_switch_path_list: label_path = info_dict['label_path'] pcd_path = info_dict['pcd_path'] print(label_path, pcd_path) # 将模型标注后的.labels文件 转化成本地的.pcd文件 change_format.start_switch(label_path, pcd_path) # 删除原来的.pcd.labels文件 for frm in to_pre_anno_frames: lab_pth = pcd_labels_dir + frm + '.pcd.labels' if os.path.exists(lab_pth): res = subprocess.call(f'rm -rf {lab_pth}', shell=True) print(res) return 1 except Exception as error: print(error) print("失败") return 0 if __name__ == '__main__': cherrypy.quickstart(PreAnnoAsyncHandle())