def memoryAnalysis(env):
from androidanalysis.utils.osUtils import listdir
for process in getObservedLists():
DalvikHeapSizeList = []
DalvikHeapAllocList = []
DalvikHeapPssList = []
DalvikHeapXList = []
startMark = False
firstTime = 0
dir = os.path.join(env['memmoredata_core'], get_process(process))
for filename in listdir(dir):
if filename is None or filename == '':
continue
with open(os.path.join(dir, filename)) as memData:
for line in memData:
if line.find('Dalvik Heap') >= 0:
firstTime, startMark = DalvikHeapX(
startMark, filename, firstTime, DalvikHeapXList)
DalvikHeapList = line.split()
DalvikHeapPssList.append(int(DalvikHeapList[PssIndex]))
DalvikHeapAllocList.append(
int(DalvikHeapList[HeapAlloc]))
# print DalvikHeapList[HeapFree]
DalvikHeapSizeList.append(int(
DalvikHeapList[HeapSize]))
memoryAnalysisDraw(env, process, dir, DalvikHeapSizeList,
DalvikHeapAllocList, DalvikHeapPssList,
DalvikHeapXList)
def doMemAnalysis(env):
# 根据 进程名称进入 相应的进程目录下面
from androidanalysis.utils.osUtils import listdir
from androidanalysis.utils.SplitUtils import split
for process in getObservedLists():
dir = os.path.join(env['memmoredata_core'], get_process(process))
for filename in listdir(dir):
if filename is None or filename == '':
continue
with open(os.path.join(dir, filename)) as memData:
for line in memData:
# 如果包含 "TOTAL" 则 提取出后面的关键字
# 如果 total 后面的 内容 可以 被 int 来转换 则认为是全部
if "total" in line.lower():
values = split(line, " ", "\t")
i = 0
for value in values:
i += 1
if i == 2:
if value.isdigit():
excuteMemData(process, filename, value)
# print ",value:" + value
pass
pass
pass
pass
def exc_memdata(env):
global startMark
global startTime
startMark = False
startTime = 0
adress = env['memlogpath']
from androidanalysis.utils.osUtils import listdir
from androidanalysis.constant.Constant import VERIFY_MEM_FILE_SIZE
if adress:
success_get_all_mem = True
for file in listdir(adress):
myfile = os.path.join(adress, file)
if os.path.getsize(myfile) < VERIFY_MEM_FILE_SIZE:
# 表明没有获取到数据，要么能获取到，要么获取不到
# 如果 小于 4k 表明获取不到，采用单独进程 adb shell dumpsys meminfo processName的方式进行
success_get_all_mem = False
writeLog(
env,
"file {0} 's size less than 1k, something error".format(
myfile))
break
excuteMemdata(myfile)
if not success_get_all_mem:
# 从各自的进程里面取获取内存数据
doMemAnalysis(env)
pass
memDraw(env, adress)
else:
writeLog(env, "路径为空，请检查!")
def flowCounter(env, userid, hour):
if userid < 0:
return False
result = []
from androidanalysis.utils.osUtils import listdir
filelist = listdir(env['flow'])
if len(filelist) > 1:
for filename in filelist:
with open(os.path.join(env['flow'], filename)) as mData:
mDownloadFlow = 0
mUploadFlow = 0
for linedata in mData:
if linedata.find('lo') >= 0:
continue
if linedata.find(userid) >= 0:
linelist = linedata.split()
mDownloadFlow += int(linelist[downloadFlow])
mUploadFlow += int(linelist[uploadFlow])
result.append(mDownloadFlow + mUploadFlow)
writeLog(
env,
'{0} 下载流量：{1},上传流量：{2}'.format(filename, mDownloadFlow,
mUploadFlow))
B = float(result[1] - result[0])
M = B / 1024 / 1024
writeLog(
env,
'总共使用{0:.2f}字节，即{1:.2f}兆，平均每小时使用{2:.2f}兆'.format(B, M, M / hour))
def amalgamateFile(env, dir):
filename = os.path.join(env['result'], 'amalgamatefile.txt')
result = open(filename, 'w')
from androidanalysis.utils.osUtils import listdir
for file in listdir(dir):
with open(os.path.join(dir, file)) as datas:
result.writelines(datas)
datas.close()
result.close()
return filename
def pushfiletoandroid(env, orgpath, targpaht, suffix='.pcm'):
from androidanalysis.utils.osUtils import listdir
for mfile in listdir(orgpath):
if mfile.endswith(suffix) >= 0:
runAdbCommand(env, ['push', os.path.join(orgpath, mfile),
os.path.join(targpaht, mfile.decode('gbk').encode('utf-8'))])