def startAppWithConfig(params):
MLog.debug(u"程序启动...")
os.system("python -m uiautomator2 init")
time.sleep(10)
# 取序列号
start_time = datetime.datetime.now()
serial = getDevices()
MLog.info(u"读取到的序列号 = " + str(serial))
devices = []
pool = Pool(len(serial) + 1) # 取电脑核数
for index in range(len(serial)):
serial_number = serial[index]
MLog.info(u"启动一个新进程 : index = " + str(index) + u" serial_number = " +
serial_number)
deviceInfo = DeviceInfo(serial_number)
devices.append(deviceInfo.getDeviceInfo())
# pool.apply_async(test_main, args=(serial_number,))
# 下面方法注释开会导致进程阻塞，debug时可以打开，运行时注释掉！！！
result = pool.apply_async(test_main, args=(
serial_number,
1,
params,
))
result.get()
pool.close()
pool.join()
# 生成图表
create_lines(devices, getApkName())
# sendEmailWithDefaultConfig() # 发邮件
end_time = datetime.datetime.now()
MLog.info("all time = {}".format(end_time - start_time))
MLog.info(u"end main...")
def write_data_local(device_name, enter_liveroom_datas, first_launch_all_datas,
first_lunch_splash_datas, normal_launch_all_datas,
normal_launch_splash_datas):
# write log data
MLog.info(
u"--------------------------开始写入json数据到本地--------------------------")
MLog.debug(u"首次启动总耗时->")
MLog.info(
json.dumps(first_launch_all_datas, ensure_ascii=False).decode('utf8'))
MLog.debug(u"非首次启动总耗时>")
MLog.info(
json.dumps(normal_launch_all_datas, ensure_ascii=False).decode('utf8'))
MLog.debug(u"首次启动闪屏页耗时->")
MLog.info(
json.dumps(first_lunch_splash_datas,
ensure_ascii=False).decode('utf8'))
MLog.debug(u"非首次启动闪屏页耗时->")
MLog.info(
json.dumps(normal_launch_splash_datas,
ensure_ascii=False).decode('utf8'))
MLog.debug(u"进直播间耗时->")
MLog.info(
json.dumps(enter_liveroom_datas, ensure_ascii=False).decode('utf8'))
# 写 JSON 数据
write_data_to_file(u"首次启动总耗时", device_name,
getApkName().split(".apk")[0], first_launch_all_datas)
write_data_to_file(u"非首次启动总耗时", device_name,
getApkName().split(".apk")[0], normal_launch_all_datas)
write_data_to_file(u"首次启动闪屏页耗时", device_name,
getApkName().split(".apk")[0], first_lunch_splash_datas)
write_data_to_file(u"非首次启动闪屏页耗时", device_name,
getApkName().split(".apk")[0],
normal_launch_splash_datas)
write_data_to_file(u"进直播间耗时", device_name,
getApkName().split(".apk")[0], enter_liveroom_datas)
MLog.info(
u"--------------------------写入json数据到本地结束--------------------------")
def create_sheet(json_detail_data, json_avg_detail, device_name):
MLog.info(u"--------------------------开始准备生成表格---------------------------")
MLog.info(u"data_to_format create_sheet:创建表格开始...")
apk_name = getApkName()
sheet_name = device_name + "_detail_time_cost"
file_name = device_name + "_data_detail"
checkSrcVialdAndAutoCreate(file_path)
write_json(json_detail_data, file_path + 'alldata.json')
write_json(json_avg_detail, file_path + 'avgdata.json')
MLog.info(u"创建耗时统计 -> json数据文件为json_detail_data: ")
MLog.info(json.dumps(json_detail_data, ensure_ascii=False).decode('utf8'))
title = device_name + " " + apk_name + u" 耗时统计"
create_detail_sheet_by_json(sheet_name, file_name, title, json_detail_data)
MLog.info(u"创建平均耗时统计 -> json数据文件为json_avg_detail: ")
MLog.info(json.dumps(json_avg_detail, ensure_ascii=False).decode('utf8'))
title = device_name + " " + apk_name + u" 平均耗时统计"
create_detail_sheet_by_json(sheet_name, "avg_data_result", title,
json_avg_detail)
MLog.info(u"--------------------------生成表格结束---------------------------")
# 取序列号
start_time = datetime.datetime.now()
serial = getDevices()
MLog.info(u"读取到的序列号 = " + str(serial))
devices = []
pool = Pool(len(serial) + 1) # 取电脑核数
for index in range(len(serial)):
serial_number = serial[index]
MLog.info(u"启动一个新进程 : index = " + str(index) + u" serial_number = " +
serial_number)
deviceInfo = DeviceInfo(serial_number)
devices.append(deviceInfo.getDeviceInfo())
# pool.apply_async(test_main, args=(serial_number,))
# 下面方法注释开会导致进程阻塞，debug时可以打开，运行时注释掉！！！
result = pool.apply_async(test_main, args=(
serial_number,
1,
params,
))
result.get()
# test_main(serial_number, 1)
pool.close()
pool.join()
# 生成图表
create_lines(devices, getApkName())
# sendEmailWithDefaultConfig() # 发邮件
end_time = datetime.datetime.now()
MLog.info("all time = {}".format(end_time - start_time))
MLog.info(u"end main...")
def format_data(first_launch_result, normal_launch_result, enter_ent,
apk_name):
# 算平均值啥的
total_datas1 = []
launching_datas1 = []
homepage_datas1 = []
ent_live_room_result = []
for x, y, z in enter_ent:
print(x, y, z)
cost = (z - x + 1) * 20
ent_live_room_result.append(cost)
for i in range(0, len(first_launch_result)):
total_datas1.append(first_launch_result[i][4])
launching_datas1.append(first_launch_result[i][5])
homepage_datas1.append(first_launch_result[i][6])
total_datas2 = []
launching_datas2 = []
homepage_datas2 = []
for i in range(0, len(normal_launch_result)):
total_datas2.append(normal_launch_result[i][4])
launching_datas2.append(normal_launch_result[i][5])
homepage_datas2.append(normal_launch_result[i][6])
detail_data = []
max_count = max(len(total_datas1), len(total_datas2),
len(ent_live_room_result))
for i in range(1, max_count + 1):
dict_temp = collections.OrderedDict()
dict_temp[u"次数"] = str(i)
dict_temp[u"首次启动总耗时"] = checkVaild(launching_datas1, i - 1)
dict_temp[u"首次启动首页加载耗时"] = checkVaild(homepage_datas1, i - 1)
dict_temp[u"非首次启动总耗时"] = checkVaild(total_datas2, i - 1)
dict_temp[u"非首次启动耗时"] = checkVaild(launching_datas2, i - 1)
dict_temp[u"非首次启动首页加载耗时"] = checkVaild(homepage_datas2, i - 1)
dict_temp[u"进入直播间耗时"] = checkVaild(ent_live_room_result, i - 1)
detail_data.append(dict_temp)
MLog.info(u"Excel表格耗时详细数据")
MLog.info(json.dumps(detail_data, ensure_ascii=False).decode('utf8'))
avg_detail_data = []
dict_avg = {
u"平均首次启动总耗时": avg_list(total_datas1),
u"平均首次启动耗时": avg_list(launching_datas1),
u"平均首次启动首页加载耗时": avg_list(homepage_datas1),
u"平均非首次启动总耗时": avg_list(total_datas2),
u"平均非首次启动耗时": avg_list(launching_datas2),
u"平均非首次启动首页加载耗时": avg_list(homepage_datas2)
}
avg_detail_data.append(dict_avg)
MLog.info(u"Excel表格平均耗时详细数据")
MLog.info(json.dumps(avg_detail_data, ensure_ascii=False).decode('utf8'))
first_launch_all_datas = {"app": apk_name, "datas": total_datas1}
normal_launch_all_datas = {"app": apk_name, "datas": total_datas2}
first_lunch_splash_datas = {
"app": apk_name + u"_launching",
"datas": launching_datas1
}
normal_launch_splash_datas = {
"app": apk_name + u"_launching",
"datas": launching_datas2
}
enter_liveroom_datas = {
"app": getApkName().split(".apk")[0],
"datas": ent_live_room_result
}
return first_launch_all_datas, normal_launch_all_datas, detail_data, avg_detail_data, first_lunch_splash_datas, normal_launch_splash_datas, enter_liveroom_datas