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python实时获取Android FPS

發(fā)布時間：2024/1/1 python 39 豆豆

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python---實現(xiàn)實時獲取Android FPS

1：如何計算FPS信息？
2：如何獲取FPS信息？
3：python實現(xiàn) fps實時獲取和計算
- 使用adb shell dumpsys gfxinfo 獲取fps信息
- 1：在開始獲取fps信息之前，我們先進行獲取當(dāng)前活動窗口，get_focus_window
- 2：在開始獲取fps信息之前，我們先進行清除當(dāng)前窗口fps數(shù)據(jù)
- 3：使用shell dumpsys gfxinfo +包名 + framestats 獲取的這個進程的最近128幀的的詳細信息，可能包含多個窗口（也可能包含重復(fù)幀，也可能沒有128幀）
- 4：去除重復(fù)幀
- 5：計算FPS，jank，卡頓
- 6：python腳本實現(xiàn)

1：如何計算FPS信息？

標(biāo)準(zhǔn)的FPS 是 1s 60 幀，也就是16.67ms一幀渲染完成，用戶不會覺得卡頓。但是大部分應(yīng)用是不需要1s內(nèi)繪制60幀，我們需要根據(jù)丟幀率去計算fps，如果1s內(nèi)應(yīng)用只需要繪制30幀，但每幀的時間是不超過16.67ms，那么它的fps也是60。
當(dāng)一幀渲染的時間大于16.67ms，按照垂直同步機制，該幀就已經(jīng)渲染超時，那么，如果它正好是16.67的整數(shù)倍，比如66.68，則它花費了4個垂直同步脈沖，減去本身需要一個，則超時3個；如果它不是16.67的整數(shù)倍，比如67，那么它花費的垂直同步脈沖應(yīng)向上取整，即5個，減去本身需要一個，即超時4個，可直接算向下取整

最后的計算方法思路：
執(zhí)行一次命令，總共收集到了m幀（理想情況下m=128），但是這m幀里面有些幀渲染超過了16.67毫秒，算一次jank，一旦jank，
需要用掉額外的垂直同步脈沖。其他的就算沒有超過16.67，也按一個脈沖時間來算（理想情況下，一個脈沖就可以渲染完一幀）

所以FPS的算法可以變?yōu)?#xff1a;
m / （m + 額外的垂直同步脈沖） * 60

2：如何獲取FPS信息？

Android性能測試之fps獲取

安卓8.0之前使用dumpsys SurfaceFlinger 獲取FPS信息詳解（必看）
adb shell dumpsys SurfaceFlinger --latency <window_activity>

安卓9.0之后使用dumpsys gfxinfo framestats 獲取FPS信息詳解（必看）
adb shell dumpsys gfxinfo < PACKAGE_NAME > framestats

兩種都是獲取指定窗口的詳細顯示信息，需要了解每一列參數(shù)的詳細信息

以9.0之后使用dumpsys gfxinfo 獲取信息為例：
每一幀的時間就是 FRAME_COMPLETED - INTENDED_VSYNC ，時間是以ns為單位

3：python實現(xiàn) fps實時獲取和計算

使用adb shell dumpsys gfxinfo 獲取fps信息

由于是根據(jù)包名獲取每一幀的詳細信息，且最多只能獲取128幀，所以最理想的狀態(tài)就是2s內(nèi)手機繪制了120幀，但大部分應(yīng)用2s內(nèi)是不會繪制120幀的，所以根據(jù)實際項目需要，我們需要設(shè)置不同的時間間隔去獲取fps，此處我們使用2s間隔獲取一次fps數(shù)據(jù)，相同時間內(nèi)，繪制的幀越多，則fps越準(zhǔn)確。
self.frequency = 2 取樣頻率就是每間隔2秒獲取一次fps信息
sn是設(shè)備id
_collector_thread 是用來獲取fps信息的線程
_calculator_thread 是用來計算fps的線程
定義大于16.67ms為丟幀 jank
定義大于166.7ms為卡頓 caton

1：在開始獲取fps信息之前，我們先進行獲取當(dāng)前活動窗口，get_focus_window

adb shell dumpsys activity | findstr mResume（適用于安卓9.0之后的，安卓8.0之前可使用adb shell dumpsys activity | findstr “mFocusedActivity”）

C:\Users\ysfa>adb shell dumpsys activity | findstr mResumemResumedActivity: ActivityRecord{db71ee8 u0 com.android.settings/.SubSettings t1572}

com.android.settings/.SubSettings 這個則是當(dāng)前手機上活動的窗口名（包名省略為.）
注意！部分三方應(yīng)用的窗口會把包名全部顯示，例如com.eg.android.AlipayGphone/com.alipay.mobile.security.login.ui.RecommandAlipayUserLoginActivity

C:\Users\ysfa>adb shell dumpsys activity | findstr mResumemResumedActivity: ActivityRecord{e84c958 u0 com.eg.android.AlipayGphone/com.alipay.mobile.security.login.ui.RecommandAlipayUserLoginActivity t1576}

拿到窗口名，我們可以提取出包名+窗口名的信息

因為使用shell dumpsys gfxinfo +包名+framestats 獲取的這個進程的最近128幀的的詳細信息，可能包含多個窗口（也可能包含重復(fù)幀），而信息中的窗口名是全名，沒有.省略包名，所以我們需要自己拼出完整的窗口名
如將com.android.settings/.SubSettings 改成com.android.settings/com.android.settings.SubSettings

2：在開始獲取fps信息之前，我們先進行清除當(dāng)前窗口fps數(shù)據(jù)

"adb shell dumpsys gfxinfo " + package_name + " reset"

3：使用shell dumpsys gfxinfo +包名 + framestats 獲取的這個進程的最近128幀的的詳細信息，可能包含多個窗口（也可能包含重復(fù)幀，也可能沒有128幀）

例如下面則是有兩個窗口

C:\Users\ysfa>adb shell dumpsys gfxinfo com.android.settings framestats Applications Graphics Acceleration Info: Uptime: 56776419 Realtime: 113853289** Graphics info for pid 15490 [com.android.settings] **Stats since: 43790991914179ns Total frames rendered: 1021 Janky frames: 52 (5.09%) 50th percentile: 6ms 90th percentile: 11ms 95th percentile: 16ms 99th percentile: 77ms Number Missed Vsync: 11 Number High input latency: 182 Number Slow UI thread: 30 Number Slow bitmap uploads: 0 Number Slow issue draw commands: 1 Number Frame deadline missed: 31 HISTOGRAM: 5ms=486 6ms=157 7ms=112 8ms=65 9ms=49 10ms=27 11ms=33 12ms=18 13ms=13 14ms=2 15ms=6 16ms=2 17ms=2 18ms=0 19ms=4 20ms=1 21ms=1 22ms=0 23ms=4 24ms=1 25ms=1 26ms=2 27ms=1 28ms=3 29ms=0 30ms=0 31ms=0 32ms=3 34ms=0 36ms=1 38ms=1 40ms=4 42ms=2 44ms=3 46ms=0 48ms=0 53ms=2 57ms=2 61ms=0 65ms=0 69ms=1 73ms=1 77ms=3 81ms=2 85ms=0 89ms=1 93ms=0 97ms=0 101ms=0 105ms=1 109ms=1 113ms=0 117ms=0 121ms=0 125ms=1 129ms=0 133ms=0 150ms=2 200ms=0 250ms=0 300ms=0 350ms=0 400ms=0 450ms=0 500ms=0 550ms=0 600ms=0 650ms=0 700ms=0 750ms=0 800ms=0 850ms=0 900ms=0 950ms=0 1000ms=0 1050ms=0 1100ms=0 1150ms=0 1200ms=0 1250ms=0 1300ms=0 1350ms=0 1400ms=0 1450ms=0 1500ms=0 1550ms=0 1600ms=0 1650ms=0 1700ms=0 1750ms=0 1800ms=0 1850ms=0 1900ms=0 1950ms=0 2000ms=0 2050ms=0 2100ms=0 2150ms=0 2200ms=0 2250ms=0 2300ms=0 2350ms=0 2400ms=0 2450ms=0 2500ms=0 2550ms=0 2600ms=0 2650ms=0 2700ms=0 2750ms=0 2800ms=0 2850ms=0 2900ms=0 2950ms=0 3000ms=0 3050ms=0 3100ms=0 3150ms=0 3200ms=0 3250ms=0 3300ms=0 3350ms=0 3400ms=0 3450ms=0 3500ms=0 3550ms=0 3600ms=0 3650ms=0 3700ms=0 3750ms=0 3800ms=0 3850ms=0 3900ms=0 3950ms=0 4000ms=0 4050ms=0 4100ms=0 4150ms=0 4200ms=0 4250ms=0 4300ms=0 4350ms=0 4400ms=0 4450ms=0 4500ms=0 4550ms=0 4600ms=0 4650ms=0 4700ms=0 4750ms=0 4800ms=0 4850ms=0 4900ms=0 4950ms=0 Font Cache (CPU):Size: 623.27 kBGlyph Count: 41 CPU Caches: GPU Caches:Other:Other: 0.00 bytes (1 entry)Buffer Object: 2.05 KB (2 entries)Image:Texture: 151.12 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0,52649931838312,52649931838312,9223372036854775807,0,52649932090852,52649932108508,52649932110279,52649932414654,52649934322987,52649934504445,52649935012831,52649936734237,52649937059185,111000,138000, 0,52649948548982,52649948548982,9223372036854775807,0,52649949961789,52649949987206,52649949990174,52649951342518,52649954262622,52649954549081,52649955380070,52649961340904,52649961895487,171000,228000, 0,52649965257509,52649965257509,9223372036854775807,0,52649966073612,52649966105956,52649966108820,52649966579862,52649968551477,52649968823560,52649969662414,52649973552102,52649974074654,958000,200000, 0,52649998612728,52649998612728,9223372036854775807,0,52649998977622,52649999557206,52649999559549,52650017059133,52650020417883,52650020646320,52650021568768,52650025146633,52650025758195,481000,200000, 0,52650015326027,52650015326027,9223372036854775807,0,52650021651945,52650021653299,52650022256320,52650022672935,52650023145487,52650025904237,52650026439497,52650028692154,52650029208664,104000,212000, 0,52650032044406,52650032044406,9223372036854775807,0,52650032325539,52650032351633,52650032628664,52650032995174,52650033231164,52650033404549,52650033809602,52650036246529,52650036571424,549000,144000, 0,52650048712678,52650048712678,9223372036854775807,0,52650049223247,52650049248352,52650049509706,52650050059966,52650050409289,52650050707310,52650051197727,52650052948872,52650053928299,303000,628000, 0,52650065451017,52650065451017,9223372036854775807,0,52650065783091,52650065811372,52650065992570,52650067972883,52650068491477,52650068892466,52650069592570,52650070378560,52650072193039,135000,1567000, 0,52650082148943,52650082148943,9223372036854775807,0,52650082448872,52650082474810,52650082711737,52650084045956,52650084379341,52650084573508,52650085195070,52650085874081,52650086263404,119000,172000, 0,52650098856086,52650098856086,9223372036854775807,0,52650099223768,52650099243977,52650099439602,52650099924549,52650101026008,52650101260956,52650101923872,52650102694966,52650103103768,157000,166000, 0,52650115562739,52650115562739,9223372036854775807,0,52650115944706,52650115969341,52650116332310,52650116949081,52650117979133,52650118371424,52650118993977,52650120497466,52650121246477,340000,302000, 0,52650132269055,52650132269055,9223372036854775807,0,52650132743247,52650132778091,52650133080070,52650133797727,52650135069497,52650135579133,52650136537727,52650138084862,52650138892154,492000,336000, 0,52650148975500,52650148975500,9223372036854775807,0,52650149621216,52650149650226,52650149885174,52650150524654,52650151176372,52650151718091,52650152564914,52650153554601,52650154188664,193000,308000, 0,52650165681977,52650165681977,9223372036854775807,0,52650166140122,52650166172154,52650166478143,52650167273612,52650168604758,52650169180226,52650169986893,52650171338299,52650172238247,370000,447000, 0,52650182388296,52650182388296,9223372036854775807,0,52650182942779,52650182972362,52650183367101,52650183978456,52650185713039,52650186415591,52650187213195,52650189186529,52650189928716,924000,340000, 0,52650199094781,52650199094781,9223372036854775807,0,52650199689549,52650199830956,52650200480226,52650200939445,52650202084914,52650202350226,52650203078404,52650203995383,52650204613351,215000,218000, 0,52650215800540,52650215800540,9223372036854775807,0,52650216403976,52650216429393,52650217027206,52650217563716,52650218779810,52650219244497,52650219859706,52650221868820,52650223560747,676000,1300000, 0,52650232507063,52650232507063,9223372036854775807,0,52650232925226,52650232957935,52650233205226,52650233922570,52650234452726,52650234798508,52650235375174,52650236484289,52650237067518,223000,261000, 0,52650249213762,52650249213762,9223372036854775807,0,52650249567049,52650249631841,52650249828247,52650250196841,52650250466216,52650252292518,52650253297466,52650254284654,52650254833195,208000,256000, ---PROFILEDATA---View hierarchy:com.android.settings/com.android.settings.Settings/android.view.ViewRootImpl@f131882255 views, 270.94 kB of display listscom.android.settings/com.android.settings.SubSettings/android.view.ViewRootImpl@3253b93274 views, 291.13 kB of display listsTotal ViewRootImpl: 2 Total Views: 529 Total DisplayList: 562.06 kB

例如下面則是有兩個窗口

Window: com.android.settings/com.android.settings.SubSettings（窗口一） Window: com.android.settings/com.android.settings.Settings（窗口二）

我們需要根據(jù)上面獲取的當(dāng)前活動窗口（包名不能省略，如果包名省略了，需要轉(zhuǎn)換為全名），去篩選出當(dāng)前正在活動窗口的fps信息，也就是PROFILEDATA的中間數(shù)據(jù)
原理：根據(jù)返回的信息中含有window去定位到當(dāng)前窗口，第一個—PROFILEDATA— 中的數(shù)據(jù)就是當(dāng)前窗口的詳細信息
詳細方法看_get_fps_data

---PROFILEDATA--- Flags,IntendedVsync,Vsync,OldestInputEvent,NewestInputEvent,HandleInputStart,AnimationStart,PerformTraversalsStart,DrawStart,SyncQueued,SyncStart,IssueDrawCommandsStart,SwapBuffers,FrameCompleted,DequeueBufferDuration,QueueBufferDuration, 1,52644835725530,52644835725530,9223372036854775807,0,52644839507156,52644839521322,52644839522208,52644882804499,52644884679760,52644884854083,52644884964447,52644890317208,52644890604395,398000,115000, 0,52644852435274,52644885768606,9223372036854775807,0,52644891648406,52644891663354,52644892190333,52644892544864,52644894457364,52644894569864,52644894716947,52644896089499,52644896420489,323000,130000, 0,52644902567663,52644902567663,9223372036854775807,0,52644903024135,52644903036687,52644903037624,52644903244812,52644903515385,52644903659551,52644903796322,52644905614239,52644906009603,485000,155000, 0,52645654850958,52645654850958,9223372036854775807,0,52645655074707,52645655090697,52645655092832,52645655544968,52645655855541,52645656225228,52645656841530,52645659397416,52645659824343,353000,136000, 0,52645688284367,52645688284367,9223372036854775807,0,52645688486895,52645688497624,52645688498874,52645688666322,52645688838822,52645688971218,52645689081166,52645689787416,52645690071426,71000,102000, ---PROFILEDATA---

4：去除重復(fù)幀

記錄當(dāng)前窗口的最后一次時間（第一次取0，可能會存在一些誤差，所以測試之前我們需要清除數(shù)據(jù)），遍歷PROFILEDATA中IntendedVsync（每幀的起始時間）的時間大于最后一次記錄的時間，這時候就不是重復(fù)幀，才進行采集數(shù)據(jù)

# 我們需要在次數(shù)去除重復(fù)幀，通過每幀的起始時間去判斷是否是重復(fù)的for timestamp in each_frame_timestamps:if timestamp[0] > self.last_timestamp:timestamps.append((timestamp[1] - timestamp[0]) / 1000000)self.last_timestamp = timestamp[0]return timestamps, int(phone_time)

5：計算FPS，jank，卡頓

每幀耗時時間 time = (FRAME_COMPLETED - INTENDED_VSYNC)/1000000 （單位ms）
最終去除重復(fù)幀后，集合中有多少行就是有多少幀繪制，大于16.67ms的則是jank ，大于166.7ms則是卡頓

總共收集到了m幀（理想情況下m=128），但是這m幀里面有些幀渲染超過了16.67毫秒，算一次jank，一旦jank，
需要用掉額外的垂直同步脈沖。其他的就算沒有超過16.67，也按一個脈沖時間來算（理想情況下，一個脈沖就可以渲染完一幀）

所以FPS的算法可以變?yōu)?#xff1a;
m / （m + 額外的垂直同步脈沖） * 60

6：python腳本實現(xiàn)

FpsInfo 是結(jié)構(gòu)體
FpsListenserImpl 是定義的接口實現(xiàn)，用來調(diào)用顯示和打印的，調(diào)試時可刪除
功能就是每隔2s獲取當(dāng)前活動窗口的fps，并統(tǒng)計丟幀數(shù)和丟幀的耗時時間

執(zhí)行結(jié)果如下

C:\Users\ysfa\AppData\Local\Programs\Python\Python37\python.exe D:/PycharmProjects/untitled/fps.py FPS monitor has start! 已經(jīng)清除FPS數(shù)據(jù)，請3秒后開始滑動界面當(dāng)前進程是：com.android.settings 當(dāng)前窗口是：com.android.settings/com.android.settings.SubSettings 當(dāng)前手機窗口刷新時間：2020-07-30 19:59:57 當(dāng)前窗口fps是：59.0625 當(dāng)前2s獲取總幀數(shù)：63 當(dāng)前窗口丟幀數(shù)>16.67ms）是：1 [24.982251] 當(dāng)前窗口卡頓數(shù)(>166.7ms)是：0當(dāng)前進程是：com.android.settings 當(dāng)前窗口是：com.android.settings/com.android.settings.SubSettings 當(dāng)前手機窗口刷新時間：2020-07-30 19:59:59 當(dāng)前窗口fps是：60.0 當(dāng)前2s獲取總幀數(shù)：41 當(dāng)前窗口丟幀數(shù)>16.67ms）是：0 [] 當(dāng)前窗口卡頓數(shù)(>166.7ms)是：0 import os import queue import threading import time from math import floorfrom FpsInfo import FpsInfo from FpsListenserImpl import FpsListenserImplclass FPSMonitor(object):def __init__(self, sn):self.frequency = 2 # 取樣頻率self.device = snself.fpscollector = FpsCollector(self.device, self.frequency)def set_listener(self, listener):self.fpscollector.set_listener(listener)def start(self, start_time):self.start_time = start_timeif self.fpscollector.package_name is None:print("手機沒亮屏，或者usb未連接")returnprint('FPS monitor has start!')self.fpscollector.start(start_time)def stop(self):'''結(jié)束FPSMonitor日志監(jiān)控器'''if self.fpscollector.package_name is None:print("手機沒亮屏，或者usb未連接")returnself.fpscollector.stop()print('FPS monitor has stop!')def save(self):passdef parse(self, file_path):'''解析:param str file_path: 要解析數(shù)據(jù)文件的路徑'''passdef get_fps_collector(self):'''獲得fps收集器，收集器里保存著time fps jank的列表:return: fps收集器:rtype: SurfaceStatsCollector'''return self.fpscollectorclass FpsCollector(object):'''Collects surface stats for a SurfaceView from the output of SurfaceFlinger'''def __init__(self, device, frequency):self.device = deviceself.frequency = frequencyself.jank_threshold = 16.7 # 內(nèi)部的時間戳是毫秒秒為單位self.last_timestamp = 0 # 上次最后最早一幀的時間self.data_queue = queue.Queue()self.stop_event = threading.Event()self.get_focus_window()self.listener = None# queue 上報線程用def start(self, start_time):'''打開SurfaceStatsCollector'''self._clear_fps_data()self.collector_thread = threading.Thread(target=self._collector_thread)self.collector_thread.start()self.calculator_thread = threading.Thread(target=self._calculator_thread, args=(start_time,))self.calculator_thread.start()def stop(self):'''結(jié)束SurfaceStatsCollector'''if self.collector_thread:self.stop_event.set()self.collector_thread.join()self.collector_thread = Nonedef set_listener(self, listener):self.listener = listenerdef get_focus_window(self):'''通過adb shell dumpsys activity | findstr "mResume"'''cmd = "adb -s " + self.device + " shell dumpsys activity | findstr mResume"# print(cmd)windowInfo = os.popen(cmd)windowInfo = str(windowInfo.readline())# print(windowInfo)if windowInfo is "":self.package_name = Noneself.focus_window = NonereturnpackageNameinfo = windowInfo.split(" ")[7]packageName = packageNameinfo.split("/")[0]if "/." in packageNameinfo:windowName = packageName + "/" + packageName + "." + packageNameinfo.split("/.")[1]else:windowName = packageNameinfoself.package_name = packageNameself.focus_window = windowNamedef _calculate_results(self, timestamps):"""Returns a list of SurfaceStatsCollector.Result.FPS 丟幀率卡頓次數(shù) 總幀數(shù)"""frame_count = len(timestamps)jank_list, caton, vsyncOverTimes = self._calculate_janky(timestamps)fps = frame_count / (frame_count + vsyncOverTimes) * 60return fps, jank_list, catondef _calculate_janky(self, timestamps):# 統(tǒng)計丟幀卡頓，和需要垂直同步次數(shù)jank_list = []caton = 0vsyncOverTimes = 0for timestamp in timestamps:if timestamp > self.jank_threshold:# 超過16.67msjank_list.append(timestamp)if timestamp % self.jank_threshold == 0:vsyncOverTimes += ((timestamp / self.jank_threshold) - 1)else:vsyncOverTimes += floor(timestamp / self.jank_threshold)if timestamp > self.jank_threshold * 10:# 超過166.7ms 明顯卡的幀,用戶會覺得卡頓caton += 1return jank_list, caton, vsyncOverTimesdef _calculator_thread(self, start_time):'''處理surfaceflinger數(shù)據(jù)'''while True:try:data = self.data_queue.get()# print(data)if isinstance(data, str) and data == 'Stop':break# before = time.time()refresh_time = int(data[0])# print(refresh_time)timestamps = data[1]fps, jank_list, caton = self._calculate_results(timestamps)fps_info = FpsInfo(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(refresh_time)), len(timestamps),fps,self.package_name, self.focus_window, jank_list, len(jank_list), caton)self.listener.report_fps_info(fps_info)# print('\n')# print("當(dāng)前設(shè)備是：" + self.device)# print("當(dāng)前進程是：" + self.package_name)# print("當(dāng)前窗口是：" + self.focus_window)# print("當(dāng)前手機窗口刷新時間：" + time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(refresh_time)))# print("當(dāng)前窗口fps是：" + str(fps))# print("當(dāng)前2s獲取總幀數(shù)：" + str(len(timestamps)))# print("當(dāng)前窗口丟幀數(shù)>16.67ms）是：" + str(jank_list))# print("當(dāng)前窗口卡頓數(shù)(>166.7ms)是：" + str(caton))# print('\n')except Exception as e:print(e)print("計算fps數(shù)據(jù)異常")self.data_queue.put('Stop')if self.calculator_thread:self.stop_event.set()self.calculator_thread = Nonereturndef _collector_thread(self):'''收集FPS數(shù)據(jù)shell dumpsys gfxinfo 《 window》 framestats3'''last_refresh_time = 0while not self.stop_event.is_set():# 此處進行獲取，并將數(shù)據(jù)存放在data_quue里try:before = time.time()# print("開始獲取fps信息:" + time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(before)))self.get_focus_window()new_timestamps, now_refresh_time = self._get_fps_data()# 此處需要檢查是否獲取數(shù)據(jù)成功if now_refresh_time is None or new_timestamps is None:# 這里可能就是清楚數(shù)據(jù)后，沒有做界面操作，所以會拿不到數(shù)據(jù)，跳過，我們獲取下一次的continue# print(new_timestamps)# 大于則證明有幀信息刷新，無則不需要更新信息if self.last_timestamp > last_refresh_time:last_refresh_time = self.last_timestamp# print(last_refresh_time)self.data_queue.put((now_refresh_time, new_timestamps))time_consume = time.time() - beforedelta_inter = self.frequency - time_consumeif delta_inter > 0:time.sleep(delta_inter)# print('\n')# print("結(jié)束獲取fps信息:" + time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(time.time())))except Exception as e:print("獲取fps數(shù)據(jù)異常")print(e)self.data_queue.put('Stop')if self.collector_thread:self.stop_event.set()self.collector_thread = Nonereturnif self.stop_event.is_set():self.data_queue.put('Stop')def _clear_fps_data(self):os.popen("adb -s " + self.device + " shell dumpsys gfxinfo " + self.package_name + " reset")# 清除數(shù)據(jù)后，直接獲取fps會有異常，我們最好等待一段時間print("已經(jīng)清除FPS數(shù)據(jù)，請3秒后開始滑動界面")time.sleep(5)def _get_fps_data(self):"""isHaveFoundWindow 是否是當(dāng)前活動窗口total_frames 總幀數(shù)timestamps 每幀耗時信息:rtype::return:"""results = os.popen("adb -s " + self.device + " shell dumpsys gfxinfo " + self.package_name + " framestats")phone_time = os.popen("adb -s " + self.device + " shell date +%s")phone_time = phone_time.readlines()[0]# print(phone_time)timestamps = []each_frame_timestamps = []isHaveFoundWindow = FalsePROFILEDATA_line = 0# 行數(shù)代表當(dāng)前窗口總幀數(shù)，列數(shù)是每幀耗時詳細信息# ！！！注意一個進程可能存在多個窗口，所以我們只獲取當(dāng)前顯示窗口的信息for line in results.readlines():# print("test" + line)if "Window" in line and self.focus_window in line:isHaveFoundWindow = True# print("focus Window is :" + line)continueif isHaveFoundWindow and "---PROFILEDATA---" in line:PROFILEDATA_line += 1# print(PROFILEDATA_line)continueif isHaveFoundWindow and "Flags,IntendedVsync," in line:continueif isHaveFoundWindow and PROFILEDATA_line is 1:# 此處代表的是當(dāng)前活動窗口# 我們?nèi)ROFILEDATA中間的數(shù)據(jù) 最多128幀，還可能包含之前重復(fù)的幀，所以我們間隔1.5s就取一次數(shù)據(jù)fields = []fields = line.split(",")each_frame_timestamp = [float(fields[1]), float(fields[13])]each_frame_timestamps.append(each_frame_timestamp)continueif PROFILEDATA_line >= 2:break# 我們需要在次數(shù)去除重復(fù)幀，通過每幀的起始時間去判斷是否是重復(fù)的for timestamp in each_frame_timestamps:if timestamp[0] > self.last_timestamp:timestamps.append((timestamp[1] - timestamp[0]) / 1000000)self.last_timestamp = timestamp[0]return timestamps, int(phone_time)def run_adb(cmd):return os.popen(cmd)if __name__ == '__main__':sn = "9365fc0e"monitor = FPSMonitor(sn)lisenter = FpsListenserImpl()monitor.set_listener(lisenter)monitor.start(time.time())time.sleep(60)monitor.stop() #!/usr/bin/env python # coding:utf-8 """ Name : FpsInfo.py Author : Contect : Time : 2020/7/21 14:26 Desc: """class FpsInfo(object):def __init__(self, time, total_frames, fps, pkg_name, window_name, jankys_ary, jankys_more_than_16,jankys_more_than_166):# 采樣數(shù)據(jù)時的時間戳self.time = time# 2s內(nèi)取到總幀數(shù)self.total_frames = total_frames# fpsself.fps = fps# 測試應(yīng)用包名self.pkg_name = pkg_name# 窗口名self.window_name = window_name# 掉幀具體時間集合self.jankys_ary = jankys_ary# 掉幀數(shù)目,大于16.67msself.jankys_more_than_16 = jankys_more_than_16# 卡頓數(shù)目,大于166.7msself.jankys_more_than_166 = jankys_more_than_166 #!/usr/bin/env python # coding:utf-8 """ Name : FpsListener.py Author : Contect : Time : 2020/7/23 16:07 Desc: """ from abc import ABCMeta, abstractmethodclass IFpsListener(object):@abstractmethoddef report_fps_info(self, fps_info):pass from FpsListener import IFpsListenerclass FpsListenserImpl(IFpsListener):def __init__(self):passdef report_fps_info(self, fps_info):print('\n')# print("當(dāng)前設(shè)備是：" + fps_info.)print("當(dāng)前進程是：" + str(fps_info.pkg_name))print("當(dāng)前窗口是：" + str(fps_info.window_name))print("當(dāng)前手機窗口刷新時間：" + str(fps_info.time))print("當(dāng)前窗口fps是：" + str(fps_info.fps))print("當(dāng)前2s獲取總幀數(shù)：" + str(fps_info.total_frames))print("當(dāng)前窗口丟幀數(shù)>16.67ms）是：" + str(fps_info.jankys_more_than_16))print(fps_info.jankys_ary)print("當(dāng)前窗口卡頓數(shù)(>166.7ms)是：" + str(fps_info.jankys_more_than_166))print('\n')

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