def execute(self):
"""执行业务逻辑"""
logger.info(
'API REQUEST INFO[' + self.request.path + '][' +
self.request.method + '][' + self.request.remote_ip + '][' +
str(self.request.arguments) + ']', ApiImageClassification)
img_file = self.get_argument('img_file', '')
if img_file == '':
return {'code': 2, 'msg': 'img_file不能为空'}
res = {}
try:
ret, msg, res = classification_infer.infer(img_file)
if ret != 0:
logger.error('execute fail [' + img_file + '] ' + msg,
ApiImageClassification)
return {'code': 4, 'msg': '查询失败'}
except:
logger.error(
'execute fail [' + img_file + '] ' + logger.get_trace(),
ApiImageClassification)
return {'code': 5, 'msg': '查询失败'}
# 组织返回格式
return {'code': 0, 'msg': 'success', 'data': res}
def post(self):
"""post请求处理"""
try:
result = self.execute()
except:
logger.error('execute fail ' + logger.get_trace(), ApiImageDigit)
result = {'code': 1, 'msg': '查询失败'}
logger.info('API RES[' + self.request.path + '][' + self.request.method + ']['
+ str(result['code']) + '][' + str(result['msg']) + ']', ApiImageDigit)
self.write(json.dumps(result))