148 lines
6.3 KiB
Python
148 lines
6.3 KiB
Python
import time
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import traceback
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from os.path import join
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import cv2
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from aip import AipOcr
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from loguru import logger
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from common.YmlConstant import baidu_yml_path
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from enums.BaiduSdkEnum import BAIDUERRORDATA
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from enums.ExceptionEnum import ExceptionType
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from exception.CustomerException import ServiceException
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from util.RWUtils import getConfigs
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class OcrBaiduSdk:
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__slots__ = ('client', "__config")
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def __init__(self, base_dir, env):
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self.client = None
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self.__config = getConfigs(join(base_dir, baidu_yml_path % env))
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self.init_client()
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def init_client(self):
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if self.client is None:
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self.client = AipOcr(str(self.__config["orc"]["APP_ID"]),
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self.__config["orc"]["API_KEY"],
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self.__config["orc"]["SECRET_KEY"])
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'''
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{
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"log_id": 2471272194,
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"words_result_num": 2,
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"words_result":
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[
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{"words": " TSINGTAO"},
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{"words": "青島睥酒"}
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]
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}
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'''
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def universal_text_recognition(self, image, request_id):
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reply_num = 0
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reply_value = None
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while True:
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try:
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or_result, or_image = cv2.imencode(".jpg", image)
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options = {
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"language_type": "CHN_ENG",
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"detect_direction": "true",
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"detect_language": "true",
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"probability": "true"
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}
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res_image = self.client.basicGeneral(or_image.tobytes(), options)
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error_code = res_image.get("error_code")
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if error_code:
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enum = BAIDUERRORDATA.get(error_code)
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# 如果异常编码未知, 返回空值
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if enum is None:
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logger.error("百度云人流量统计异常!error_code:{}, request_id: {}", error_code, request_id)
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return None
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# 重试指定次数后,还是异常,输出统一内部异常
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if enum.value[3] == 0:
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if reply_value is None:
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reply_value = enum.value[4]
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logger.error("百度云人流量统计异常!error_code:{}, error_msg:{}, reply_num:{}, request_id: {}",
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enum.value[0], enum.value[2], reply_num, request_id)
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raise Exception()
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# 重试指定次数后,还是异常,输出对应的异常
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if enum.value[3] == 1:
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if reply_value is None:
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reply_value = enum.value[4]
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raise ServiceException(str(enum.value[0]), enum.value[2])
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# 重试指定次数后,还是异常,输出空
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if enum.value[3] == 2:
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if reply_value is None:
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reply_value = enum.value[4]
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if reply_num >= reply_value:
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return None
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raise Exception()
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return res_image
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except Exception as e:
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time.sleep(1)
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reply_num += 0.5
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self.init_client()
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if reply_num > reply_value:
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if isinstance(e, ServiceException):
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raise ServiceException(e.code, e.msg)
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logger.error("通用文字识别失败: {}, request_id: {}", traceback.format_exc(), request_id)
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raise ServiceException(ExceptionType.SERVICE_INNER_EXCEPTION.value[0],
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ExceptionType.SERVICE_INNER_EXCEPTION.value[1])
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'''
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{
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"log_id": 3583925545,
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"words_result": {
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"color": "blue",
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"number": "苏HS7766"
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}
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}
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'''
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def license_plate_recognition(self, image, request_id):
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reply_num = 0
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reply_value = None
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while True:
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try:
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or_result, or_image = cv2.imencode(".jpg", image)
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res_image = self.client.licensePlate(or_image.tobytes(), {"multi_detect": "true"})
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error_code = res_image.get("error_code")
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if error_code:
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enum = BAIDUERRORDATA.get(error_code)
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# 如果异常编码未知, 返回空值
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if enum is None:
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logger.error("百度云人流量统计异常!error_code:{}, request_id: {}", error_code, request_id)
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return None
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# 重试指定次数后,还是异常,输出统一内部异常
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if enum.value[3] == 0:
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if reply_value is None:
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reply_value = enum.value[4]
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logger.error("百度云人流量统计异常!error_code:{}, error_msg:{}, reply_num:{}, request_id: {}",
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enum.value[0], enum.value[2], reply_num, request_id)
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raise Exception()
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# 重试指定次数后,还是异常,输出对应的异常
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if enum.value[3] == 1:
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if reply_value is None:
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reply_value = enum.value[4]
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raise ServiceException(str(enum.value[0]), enum.value[2])
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# 重试指定次数后,还是异常,输出空
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if enum.value[3] == 2:
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if reply_value is None:
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reply_value = enum.value[4]
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if reply_num >= reply_value:
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return None
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raise Exception()
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return res_image
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except Exception as e:
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time.sleep(1)
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reply_num += 1
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self.init_client()
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if reply_num > reply_value:
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if isinstance(e, ServiceException):
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raise ServiceException(e.code, e.msg)
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logger.error("车牌识别失败: {}, request_id: {}", traceback.format_exc(), request_id)
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raise ServiceException(ExceptionType.SERVICE_INNER_EXCEPTION.value[0],
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ExceptionType.SERVICE_INNER_EXCEPTION.value[1])
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