一. 自动化需求

1. 设备A与云平台是通过自定义协议(JT808协议)通信的

2. 基于twisted框架模拟设备A,模拟脚本可替代设备A与云平台进行通信

3. 使用pytest+allure测试方案, 并采用数据驱动方式, 快速验证云端的端云交互逻辑的正确性

二. 遇到问题

1. 启动设备模拟工具后, twisted.run()之后的代码不会被执行(看到的现象是主线程会一直处于卡住的状态)

三. 解决方案

思路: 以线程的方式运行twisted.run(), 此时需要注意installSignalHandlers参数的使用

3.1 模拟工具脚本文件

# -*- coding: utf-8 -*-
# @Time    : 2021/3/4 20:03
# @Author  : chinablue
# @File    : device_simulate.py

from twisted.internet.protocol import ClientFactory, Protocol


class DeviceProto(Protocol):

    def dataReceived(self, data):
        """缓存消息, 转义消息, 提取消息, 分发消息"""
        print(data)

    def dataSend(self, msg_id, data):
        """向云端发送消息"""
        self.transport.write(data)


class DeviceFactory(ClientFactory):

    def __init__(self):
        self.server = DeviceProto()

    def buildProtocol(self, addr):
        return self.server

3.2 pytest中的conftest.py文件

# -*- coding: utf-8 -*-
# @Time    : 2021/3/1 14:51
# @Author  : chinablue
# @File    : conftest.py

import threading

import pytest
import allure
from twisted.internet import reactor as twisted_reactor

from device_simulate import DeviceFactory


@pytest.fixture(scope="session", autouse=True)
def df():
    with allure.step(f"启动服务"):
        df = DeviceFactory()

        def task_start_server(df):
            ip, port = "云端ip", int("云端端口")
            twisted_reactor.connectTCP(ip, port, df)
            twisted_reactor.run(installSignalHandlers=False)

        t = threading.Thread(
            target=task_start_server,
            args=(df,),
            daemon=True
        )
        t.start()

    yield df

    with allure.step(f"停止服务"):
        twisted_reactor.callFromThread(twisted_reactor.stop)
        t.join()

注意事项:

　　1) 在子线程中运行twisted.run(), 需要参数: installSignalHandlers=False(注意上方代码标红处)

　　2) 测试夹具df返回的df对象,可以调用到DeviceProto类中的dataSend()方法. 

           在用例文件中可以通过df.server.dataSend()方式来控制用例在何时向云端发出怎样的数据(注意下方代码标红处)

3.3 用例文件(由于真实使用场景较为复杂,这里只给出部分代码)

# -*- coding: utf-8 -*-
# @Time    : 2021/3/1 11:36
# @Author  : chinablue
# @File    : test_demo.py

import allure
import pytest

from case.base_case import BaseCase

test_data_list = [
    {
        "case_desc": "触发告警: 紧急报警",
        "alert_flag": "00000001",
        "expect_alarmValue": "紧急报警"
    },
    {
        "case_desc": "触发告警: 超速报警",
        "alert_flag": "00000002",
        "expect_alarmValue": "超速报警"
    },
    {
        "case_desc": "触发告警: 紧急报警,超速报警",
        "alert_flag": "00000003",
        "expect_alarmValue": "紧急报警,超速报警"
    },
]

test_params_str, test_data_list = BaseCase.handle_testdata(test_data_list)
ids = [test_data[0] for test_data in test_data_list]


@pytest.mark.parametrize(test_params_str, test_data_list, ids=ids)
@allure.feature(f"实时上报接口")
@allure.story(f"部标告警")
class TestRealtimeAlert(BaseCase):

    def test1(self, df, init_location_info, case_desc, alert_flag, expect_alarmValue):
        with allure.step(f"设备操作: 位置信息上报(有告警)"):
            alert_flag = alert_flag
            status = None
            speed = None
            df.server.dataSend(
                self.proto_msgid.location_info_upload,
                data=self.terminal_proto.gen_message_location_info_upload(
                    alert_flag=alert_flag,
                    status=status,
                    speed=speed
                )
            )

        with allure.step(f"云端验证: 查询[实时位置信息]接口"):
            self.web_validate.check_realtime_alarmValue(
                devId=self.config.dev_id,
                alarmValue=expect_alarmValue
            )

四. 效果展示