import datetime
import os
import threading
import time
import async_communication as CM
import message_pb2 as message
import google.protobuf.text_format as tf
import check_command_XmSgj as CHE_XmSgj
import check_command_GyBhhy as CHE_GyBhhy
import tool.db_helper.db_operation as spmng
import tool.json_helper.parse_json as parse_json
import sys
sys.path.append("..")
from tool.log_helper.logger import HandleLog
def check_park_command(body):
    # print("接收停车指令 %s  message:%s" % (datetime.datetime.now(), body))
    log.info("接收停车指令 %s    message:%s" % (datetime.datetime.now(),body[0:120]))
    cmd = checker.entrance_isOK(body)
    response_port = "user_park_command_%d_response_port" % cmd.terminal_id
    dispatch_key = ""
    if cmd.statu.execute_statu == message.eNormal:
        # 指令检查正常
        log.info("停车指令 %s OK: 车牌号:%s    检查成功!\n" % (datetime.datetime.now(), cmd.car_number))
        dispatch_key = "park_command_request_port"
        g_rabbitmq.publish(mq_config['mq_command_exchange_name'], dispatch_key, tf.MessageToString(cmd, as_utf8=True))
    else:
        if cmd.statu.execute_statu == message.eWarning:
            log.warning("停车指令 %s  车牌号:%s    检查失败!\n 发送反馈    交换机:%s  发送反馈端口:%s    反馈表单：%s" % (
                    datetime.datetime.now(), cmd.car_number,
                    mq_config['mq_command_exchange_name'], response_port + "," + dispatch_key,
                    tf.MessageToString(cmd, as_utf8=True)))
        elif cmd.statu.execute_statu == message.eError:
            log.error("停车指令 %s  车牌号:%s    检查失败!\n 发送反馈    交换机:%s  发送反馈端口:%s    反馈表单：%s" % (
                datetime.datetime.now(), cmd.car_number,
                mq_config['mq_command_exchange_name'], response_port + "," + dispatch_key,
                tf.MessageToString(cmd, as_utf8=True)))
        else:
            log.critical("停车指令 %s  车牌号:%s    检查失败!\n 发送反馈    交换机:%s  发送反馈端口:%s    反馈表单：%s" % (
                datetime.datetime.now(), cmd.car_number,
                mq_config['mq_command_exchange_name'], response_port + "," + dispatch_key,
                tf.MessageToString(cmd, as_utf8=True)))
    g_rabbitmq.publish(mq_config['mq_command_exchange_name'], response_port, tf.MessageToString(cmd, as_utf8=True))

def check_pick_command(body):
    log.info("接收取车指令 %s    message:%s" % (datetime.datetime.now(), body))
    cmd = checker.exit_isOK(body)
    response_port = "user_pick_command_%d_response_port" % cmd.terminal_id
    dispatch_key = ""
    if cmd.statu.execute_statu == message.eNormal:
        # 指令检查正常
        log.info("取车指令 %s OK : 唯一码:%s    检查成功!\n" % (datetime.datetime.now(), cmd.primary_key))
        dispatch_key = "pick_command_request_port"
        g_rabbitmq.publish(mq_config['mq_command_exchange_name'], dispatch_key, tf.MessageToString(cmd, as_utf8=True))
    else:
        if cmd.statu.execute_statu == message.eWarning:
            log.warning("取车指令 %s  唯一码:%s    检查失败!\n 发送反馈    交换机:%s  发送反馈端口:%s    反馈表单：%s" % (
                    datetime.datetime.now(), cmd.primary_key,
                    mq_config['mq_command_exchange_name'], response_port + "," + dispatch_key,
                    tf.MessageToString(cmd, as_utf8=True)))
        elif cmd.statu.execute_statu == message.eError:
            log.error("取车指令 %s  唯一码:%s    检查失败!\n 发送反馈    交换机:%s  发送反馈端口:%s    反馈表单：%s" % (
                datetime.datetime.now(), cmd.primary_key,
                mq_config['mq_command_exchange_name'], response_port + "," + dispatch_key,
                tf.MessageToString(cmd, as_utf8=True)))
        else:
            log.critical("取车指令 %s  唯一码:%s    检查失败!\n 发送反馈    交换机:%s  发送反馈端口:%s    反馈表单：%s" % (
                    datetime.datetime.now(), cmd.primary_key,
                    mq_config['mq_command_exchange_name'], response_port + "," + dispatch_key,
                    tf.MessageToString(cmd, as_utf8=True)))
    if cmd.terminal_id != 0:
        g_rabbitmq.publish(mq_config['mq_command_exchange_name'], response_port, tf.MessageToString(cmd, as_utf8=True))



if __name__ == '__main__':
    config = parse_json.parse_json_with_comments('./config.json')
    # 数据库配置
    db_config = config['db_config']
    # rabbitmq配置
    mq_config = config['mq_config']
    # 日志记录
    log = HandleLog.get_logger(os.getcwd()+'\\logs')
    g_space = spmng.DBOperation(db_config['db_ip'],db_config['db_port'],db_config['db_name'],db_config['db_user'],db_config['db_password'])

    # 消费指令消息
    cmd_callbacks = [["user_park_command_request_queue", check_park_command],
                     ["user_pick_command_request_queue", check_pick_command]]
    print("系统初始化中...... %s  " % (datetime.datetime.now()))
    if config['project_name'] == 'xm_sgj':
        checker = CHE_XmSgj.CommandChecker(g_space)
    elif config['project_name'] == 'gy_bhhy':
        checker = CHE_GyBhhy.CommandChecker(g_space)
    print("系统初始化完成！    %s  " % (datetime.datetime.now()))

    g_rabbitmq = CM.RabbitAsyncCommunicator(mq_config['mq_ip'], mq_config['mq_port'], mq_config['mq_user'], mq_config['mq_password'])
    g_rabbitmq.Init(cmd_callbacks, mq_config['mq_statu_exchange_keys'],"checker")
    for ex,key in mq_config['mq_statu_exchange_keys']:
        if key.find("dispatch") >= 0:
            g_rabbitmq.bind_statu_callback(ex,key,checker.receive_dispatch_statu)
        if key.find("measure") >= 0:
            g_rabbitmq.bind_statu_callback(ex,key,checker.receive_measureInfo)
    g_rabbitmq.start()
    g_rabbitmq.join()