def auto_collect_data_process():
try:
# 获取测试应用的包名和版本号，存到数据库中
version_code = AdbUtil.get_verson(package_name)
common_data_list.append([package_name, version_code, ''])
__save_package_version()
# 创建进程池来执行进程
# result = None
pool = multiprocessing.Pool(processes=6)
# result = pool.apply_async(run_monkey, (config.test_package_name(), RUN_MONKEY_COUNT,))
result = None
for i in range(len(METHOD_ARRAY)):
result = pool.apply_async(get_data, (METHOD_ARRAY[i], ))
pool.close()
pool.join()
if result.successful():
LogUtil.log_i('excute success')
LogUtil.log_i('All process worked!!')
except Exception as e:
LogUtil.log_e('collect data failure ' + e.message)
def publish_battery_data():
if len(battery_excel_data) < 1:
return
version_code = AdbUtil.get_verson(package_name)
BatteryData().save_db_data(battery_excel_data, package_name, version_code)
from util.AndroidUtil import AndroidUtil
from util.LogUtil import LogUtil
from performance.models import *
__author__ = 'zhouliwei'
"""
function: 用于收集数据并进行处理、保存的逻辑
date:2016/11/25
"""
# 跑monkey的次数
RUN_MONKEY_COUNT = 150
# 当前测试的包名
package_name = config.test_package_name
version_code = AdbUtil.get_verson(package_name)
METHOD_ARRAY = ['cpu', 'memory', 'kpi', 'fps', 'flow']
# METHOD_ARRAY = ['cpu', 'memory', 'kpi', 'fps', 'flow', 'monkey']
SILENT_ARRAY = ['cpu', 'flow']
# 用于存放计算之后的值[平均fps, 平均jank_count]
fps_data_dict = {}
# 用于存放计算之后的cpu值
cpu_data_dict = {}
# 用于存放计算之后的kpi值
kpi_data_dict = {}
# 用于存放计算之后的memory值