首先，神枪镇楼

利用Python来写吃鸡的“理论外挂”！学会之后基本把把吃鸡！

背景

最近老板爱上了吃鸡（手游：全军出击），经常拉着我们开黑，只能放弃午休的时间，陪老板在沙漠里奔波。上周在在微信游戏频道看战绩的时候突发奇想，是不是可以通过这个方式抓取到很多战斗数据，然后分析看看有什么规律。

利用Python来写吃鸡的“理论外挂”！学会之后基本把把吃鸡！

秀一波战绩，开黑情况下我们团队吃鸡率非常高，近100场吃鸡次数51次

进群：548377875 即可获取数十套PDF哦！

简单评估了一下，觉得可行，咱就开始。

Step 1 分析数据接口

第一步当然是把这些战绩数据采集下来，首先我们需要了解页面背后的故事。去看看页面是如何获取战斗数据的。

使用Charles抓包

抓包实现

在Mac下推荐使用工具Charles来从协议层抓取手机上的流量，原理就是在Mac上开启一个代*理*服务器，然后将手机的网络代*理设置为Mac，这样手机上的所有流量都会经过我们的代*理*服务器了。大致流程如下：

利用Python来写吃鸡的“理论外挂”！学会之后基本把把吃鸡！

https加密流量的处理

在实际操作的时候发现微信所有的流量都走了HTTPS，导致我们的抓到的都是加密数据，对我们没有任何参考意义。经过研究，可以通过在手机和电脑都安装Charles根证书的方式来实现对Https流量的分析，具体操作可以参考：

charles mac下https抓包和iphone https抓包
解决Charles无法正常抓包iOS 11中的Https请求

安装证书后，我们的流量大致是这样子的

利用Python来写吃鸡的“理论外挂”！学会之后基本把把吃鸡！

经过上述的配置，我们已经可以读取到https的请求和响应数据了，如下图所示。

利用Python来写吃鸡的“理论外挂”！学会之后基本把把吃鸡！

windows下用findler可以实现相同的功能
其实这就是一个非常典型的中间人场景

数据接口

接下来就根据这些数据来找出我们需要的接口了，经过分析，主要涉及三个接口

获取用户信息接口
获取用户战绩列表接口
获取用户指定战绩详细信息接口

下面我们一个一个看

1. 获取用户信息接口

request

API/cgi-bin/gamewap/getpubgmdatacenterindex方法GET参数openid、pass_ticketcookiekey pass_ticket、uin、pgv_pvid、sd_cookie_crttime、sd_userid

response

{ "user_info": { "openid": "oODfo0pjBQkcNuR4XLTQ321xFVws","head_img_url":"http://wx.qlogo.cn/mmhead/Q3auHgzwzM5hSWxxxxxUQPwW9ibxxxx9dlxLTsKWk97oWpDI0rg/96","nick_name": "望","role_name": "xxxx","zone_area_id": 0,"plat_id": 1 },"battle_info": { "total_1": 75,"total_10": 336,"total_game": 745,"total_kill": 1669 },"battle_list": [{ "map_id": 1,"room_id": "6575389198189071197","team_id": 57,"dt_event_time": 1530953799,"rank_in_ds": 3,"times_kill": 1,"label": "前五","team_type": 1,"award_gold": 677,"mode": 0 }],"appitem": { "AppID": "wx13051697527efc45","IconURL":"https://mmocgame.qpic.cn/wechatgame/mEMdfrX5RU0dZFfNEdCsMJpfsof1HE0TP3cfZiBox0ZPxqh5aZnHjxPFXUGgsXmibe/0","Name": "绝地求生全军出击","BriefName": "绝地求生全军出击","Desc": "官方正版绝地求生手游","Brief": "枪战 | 808.2M","WebURL": "https://game.weixin.qq.com/cgi-bin/h5/static/detail_v2/index.html?wechat_pkgid=detail_v2&appid=wx13051697527efc45&show_bubble=0","DownloadInfo": { "DownloadURL": "https://itunes.apple.com/cn/app/id1304987143","DownloadFlag": 5 },"Status": 0,"AppInfoFlag": 45,"Label": [],"AppStorePopUpDialogConfig": { "Duration": 1500,"Interval": 172800,"ServerTimestamp": 1531066098 },"HasEnabledChatGroup": false,"AppType": 0,"game_tag_list": ["绝地求生","正版还原","好友开黑","百人对战","超大地图"],"recommend_reason": "正版绝地求生，荒野射击","size_desc": "808.2M" },"is_guest": true,"is_blocked": false,"errcode": 0,"errmsg": "ok"}

分析

openid是用户的惟一标识。

2. 获取用户战绩列表接口

request
API/cgi-bin/gamewap/getpubgmbattlelist方法GET参数openid、pass_ticket、plat_id、after_time、limitcookiekey pass_ticket、uin、pgv_pvid、sd_cookie_crttime、sd_userid
response

{"errcode": 0,"errmsg": "ok","next_after_time": 1528120556,"room_id": "6575389198111172597","mode": 0},{ "map_id": 1,"room_id": "6575336498940384115","team_id": 11,"dt_event_time": 1530941404,"rank_in_ds": 5,"times_kill": 2,"award_gold": 632,"mode": 0}],"has_next": true}

分析
这个接口用after_time来进行分页，遍历获取时可以根据接口响应的has_next和next_after_time来判断是否还有下一页的数据。
列表里面的room_id是每一场battle的惟一标识。

3. 获取用户战绩详情接口

request

API/cgi-bin/gamewap/getpubgmbattledetail方法GET参数openid、pass_ticket、room_idcookiekey pass_ticket、uin、pgv_pvid、sd_cookie_crttime、sd_userid

request

{"errcode": 0,"base_info": { "nick_name": "柚茶","head_img_url": "http://wx.qlogo.cn/mmhead/xxxx/96","dt_event_time": 1528648165,"team_type": 4,"rank": 1,"player_count": 100,"role_sex": 1,"label": "大吉大利","openid": "oODfo0s1w5lWjmxxxxxgQkccljXQ"},"battle_info": { "award_gold": 622,"times_kill": 6,"times_head_shot": 0,"damage": 537,"times_assist": 3,"survival_duration": 1629,"times_save": 0,"times_reborn": 0,"vehicle_kill": 1,"forward_distance": 10140,"driving_distance": 5934,"dead_poison_circle_no": 6,"top_kill_distance": 223,"top_kill_distance_weapon_use": 2924130819,"be_kill_user": { "nick_name": "小旭","head_img_url":"http://wx.qlogo.cn/mmhead/ibLButGMnqJNFsUtStNEV8tzlH1QpwPiaF9kxxxxx66G3ibjic6Ng2Rcg/96","weapon_use": 20101000001,"openid": "oODfo0qrPLExxxxc0QKjFPnPxyI" },"label": "大吉大利"},"team_info": { "user_list": [{ "nick_name": "ooo","assist_count": 3,"survival_duration": 1638,"head_img_url":"http://wx.qlogo.cn/mmhead/Q3auHgzwzM4k4RXdyxavNxxxxUjcX6Tl47MNNV1dZDliazRKRg","openid": "oODfo0xxxxf1bRAXE-q-lEezK0k" },{ "nick_name": "我吃炒肉","assist_count": 2,"survival_duration": 1502,"award_gold": 583,"head_img_url":"http://wx.qlogo.cn/mmhead/sTJptKvBQLKd5saajOF0VrwiapUxxxxFffxoDUcrVjYbDf9pNENQ","openid": "oODfo0gIyDxxxxZpUrSrpapZSDT0" }]},"is_blocked": false}

分析
这个接口响应了战斗的详细信息，包括杀*敌数、爆*头数、救人数、跑动距离等等，足够我们分析了。
这个接口还响应了是被谁杀死的以及组团成员的openid，利用这个特性我们这可无限深度的发散爬取更多用户的数据。

至于cookie中的息pass_ticket等信息肯定是用于权限认证的，在上述的几次请求中这些信息都没有变化，所以我们不需要深研其是怎么算出来的，只需要抓包提取到默认信息后填到代码里面就可以用了。

Step 2 爬取数据

接口已经确定下来了，接下来就是去抓取足够量的数据了。

使用requests请求接口获取数据

url = 'https://game.weixin.qq.com/cgi-bin/gamewap/getpubgmdatacenterindex?openid=%s&plat_id=0&uin=&key=&pass_ticket=%s' % (openid,settings.pass_ticket) r = requests.get(url=url,cookies=settings.def_cookies,headers=settings.def_headers,timeout=(5.0,5.0)) tmp = r.json() wfile = os.path.join(settings.Res_UserInfo_Dir,'%s.txt' % (rediskeys.user(openid))) with codecs.open(wfile,'w','utf-8') as wf: wf.write(simplejson.dumps(tmp,indent=2,sort_keys=True,ensure_ascii=False))

参照这种方式我们可以很快把另外两个接口写好。

使用redis来标记已经爬取过的信息

在上述接口中我们可能从用户A的入口进去找到用户B的openid，然后从用户B的入口进去又找到用户A的openid，为了避免重复采集，所以我们需要记录下哪些信息是我们采集过的。核心代码片断：

# rediskeys.user_battle_list 根据openid获取存在redis中的key值def user_battle_list(openid): return 'ubl_%s' % (openid)# 在提取battle list之前，首先判断这用用户的数据是否已经提取过了if settings.DataRedis.get(rediskeys.user_battle_list(openid)): return True# 在提取battle list之后，需要在redis中记录用户信息settings.DataRedis.set(rediskeys.user_battle_list(openid),1)

使用celery来管理队列

celery是一个非常好用的分布式队列管理工具，我这次只打算在我自己的电脑上运行，所以并没有用到分布式的功能。我们创建三个task和三个queue

task_queues = ( Queue('queue_get_battle_info',exchange=Exchange('priority',type='direct'),routing_key='gbi'),Queue('queue_get_battle_list',routing_key='gbl'),Queue('queue_get_user_info',routing_key='gui'),) task_routes = ([ ('get_battle_info',{'queue': 'queue_get_battle_info'}),('get_battle_list',{'queue': 'queue_get_battle_list'}),('get_user_info',{'queue': 'queue_get_user_info'}),],)

然后在task中控制API请求和Redis数据实现完整的任务逻辑，如：

@app.task(name='get_battle_list')def get_battle_list(openid,plat_id=None,after_time=0,update_time=None): # 判断是否已经取过用户战绩列表信息 if settings.DataRedis.get(rediskeys.user_battle_list(openid)): return True if not plat_id: try: # 提取用户信息 us = handles.get_user_info_handles(openid) plat_id=us['plat_id'] except Exception as e: print 'can not get user plat_id',openid,traceback.format_exc() return False # 提取战绩列表 battle_list = handles.get_battle_list_handle(openid,plat_id,update_time=None) # 为每一场战斗创建异步获取详情任务 for room_id in battle_list: if not settings.DataRedis.get(rediskeys.user_battle(openid,room_id)): get_battle_info.delay(openid,room_id) return True

开始抓取

因为我们是发散是爬虫，所以需要给代码一个用户的入口，所以需要手动创建一个用户的采集任务

from tasks.all import get_battle_list my_openid = 'oODfo0oIErZI2xxx9xPlVyQbRPgY'my_platid = '0' get_battle_list.delay(my_openid,my_platid,update_time=None)

有入口之后我们就用celery来启动worker去开始爬虫

# 启动获取用户详情workercelery -A tasks.all worker -c 5 --queue=queue_get_user_info --loglevel=info -n get_user_info@%h # 启动获取战绩列表workercelery -A tasks.all worker -c 5 --queue=queue_get_battle_list --loglevel=info -n get_battle_list@%h # 启动获取战绩详情workercelery -A tasks.all worker -c 30 --queue=queue_get_battle_info --loglevel=info -n get_battle_info@%h

这样我们的爬虫就可以愉快的跑起来了。再通过celery-flower来查看执行情况。

celery flower -A tasks.all --broker=redis://:$REdis_PASS@$REdis_HOST:$REdis_PORT/10

通过flower，我们可以看到运行的效率还是非常不错的。

利用Python来写吃鸡的“理论外挂”！学会之后基本把把吃鸡！

在执行过程中会发现get_battle_list跑太快，导致get_battle_info即使开了30个并发都还会积压很多，所以需要适时的去停一下这些worker。在我们抓到20万条信息之后就可以停下来了。

Step 3 数据分析

分析方案

20万场战斗的数据已经抓取好了，全部分成json文件存在我本地磁盘上，接下来就做一些简单的分析。 python在数据分析领域也非常强大，有很多非常优秀的库，如pandas和NumPy，可惜我都没有学过，而且对于一个高考数学只考了70几分的人来说，数据分析实在是难，所以就自己写了一个非常简单的程序来做一些浅度分析。需要进行深度分析，又不想自己爬虫的大牛可以联系我打包这些数据。

# coding=utf-8import osimport jsonimport datetimeimport math from conf import settings class UserTeamTypeData: def __init__(self,team_type,player_count): self.team_type = team_type self.player_count = player_count self.label = {} self.dead_poison_circle_no = {} self.count = 0 self.damage = 0 self.survival_duration = 0 # 生存时间 self.driving_distance = 0 self.forward_distance = 0 self.times_assist = 0 # 助攻 self.times_head_shot = 0 self.times_kill = 0 self.times_reborn = 0 # 被救次数 self.times_save = 0 # 救人次数 self.top_kill_distance = [] self.top_kill_distance_weapon_use = {} self.vehicle_kill = 0 # 车辆杀死 self.award_gold = 0 self.times_reborn_by_role_sex = {0: 0,1: 0} # 0 男 1 女 self.times_save_by_role_sex = {0: 0,1: 0} # 0 男 1 女 def update_dead_poison_circle_no(self,dead_poison_circle_no): if dead_poison_circle_no in self.dead_poison_circle_no: self.dead_poison_circle_no[dead_poison_circle_no] += 1 else: self.dead_poison_circle_no[dead_poison_circle_no] = 1 def update_times_reborn_and_save_by_role_sex(self,role,times_reborn,times_save): if role not in self.times_reborn_by_role_sex: return self.times_reborn_by_role_sex[role] += times_reborn self.times_save_by_role_sex[role] += times_save def update_top_kill_distance_weapon_use(self,weaponid): if weaponid not in self.top_kill_distance_weapon_use: self.top_kill_distance_weapon_use[weaponid] = 1 else: self.top_kill_distance_weapon_use[weaponid] += 1 class UserBattleData: def __init__(self,openid): self.openid = openid self.team_type_res = {} self.label = {} self.hour_counter = {} self.weekday_counter = {} self.usetime = 0 self.day_record = set() self.battle_counter = 0 def get_avg_use_time_per_day(self): # print "get_avg_use_time_per_day:",self.openid,self.usetime,len(self.day_record),self.usetime / len(self.day_record) return self.usetime / len(self.day_record) def update_label(self,lable): if lable in self.label: self.label[lable] += 1 else: self.label[lable] = 1 def get_team_type_data(self,player_count): player_count = int(math.ceil(float(player_count) / 10)) team_type_key = '%d_%d' % (team_type,player_count) if team_type_key not in self.team_type_res: userteamtypedata = UserTeamTypeData(team_type,player_count) self.team_type_res[team_type_key] = userteamtypedata else: userteamtypedata = self.team_type_res[team_type_key] return userteamtypedata def update_user_time_property(self,dt_event_time): dt_event_time = datetime.datetime.fromtimestamp(dt_event_time) hour = dt_event_time.hour if hour in self.hour_counter: self.hour_counter[hour] += 1 else: self.hour_counter[hour] = 1 weekday = dt_event_time.weekday() if weekday in self.weekday_counter: self.weekday_counter[weekday] += 1 else: self.weekday_counter[weekday] = 1 self.day_record.add(dt_event_time.date()) def update_battle_info_by_room(self,roomid): # print ' load ',roomid file = os.path.join(settings.Res_UserBattleInfo_Dir,self.openid,'%s.txt' % roomid) with open(file,'r') as rf: battledata = json.load(rf) self.battle_counter += 1 base_info = battledata['base_info'] self.update_user_time_property(base_info['dt_event_time']) battle_info = battledata['battle_info'] userteamtypedata = self.get_team_type_data(base_info['team_type'],base_info['player_count']) userteamtypedata.count += 1 userteamtypedata.award_gold += battle_info['award_gold'] userteamtypedata.damage += battle_info['damage'] userteamtypedata.update_dead_poison_circle_no(battle_info['dead_poison_circle_no']) userteamtypedata.driving_distance += battle_info['driving_distance'] userteamtypedata.forward_distance += battle_info['forward_distance'] self.update_label(battle_info['label']) userteamtypedata.survival_duration += battle_info['survival_duration'] self.usetime += battle_info['survival_duration']/60 userteamtypedata.times_assist += battle_info['times_assist'] userteamtypedata.times_head_shot += battle_info['times_head_shot'] userteamtypedata.times_kill += battle_info['times_kill'] userteamtypedata.times_reborn += battle_info['times_reborn'] userteamtypedata.times_save += battle_info['times_save'] userteamtypedata.damage += battle_info['damage'] userteamtypedata.top_kill_distance.append(battle_info['top_kill_distance']) userteamtypedata.update_times_reborn_and_save_by_role_sex(base_info['role_sex'],battle_info['times_reborn'],battle_info['times_save']) def get_user_battleinfo_rooms(self): user_dir = os.path.join(settings.Res_UserBattleInfo_Dir,self.openid) r = [room for room in os.listdir(user_dir)] r = [rr.replace('.txt','') for rr in r] return r class AllUserCounter: def __init__(self): self.hour_counter = {0: 0,1: 0,2: 0,3: 0,4: 0,5: 0,6: 0,7: 0,8: 0,9: 0,10: 0,11: 0,12: 0,13: 0,14: 0,15: 0,16: 0,17: 0,18: 0,19: 0,20: 0,21: 0,22: 0,23: 0} self.weekday_counter = {0: 0,6: 0} self.times_reborn_by_role_sex = {0: 0,1: 0} # 0 男 1 女 self.user_count = 0 self.battle_count = 0 self.every_user_use_time_per_day = [] self.top_kill_distance = 0 def avg_use_time(self): return sum(self.every_user_use_time_per_day) / len(self.every_user_use_time_per_day) def add_user_data(self,userbattledata): self.every_user_use_time_per_day.append(userbattledata.get_avg_use_time_per_day()) self.battle_count += userbattledata.battle_counter self.user_count += 1 for k in userbattledata.hour_counter: if k in self.hour_counter: self.hour_counter[k] += userbattledata.hour_counter[k] else: self.hour_counter[k] = userbattledata.hour_counter[k] for weekday in userbattledata.weekday_counter: if weekday in self.weekday_counter: self.weekday_counter[weekday] += userbattledata.weekday_counter[weekday] else: self.weekday_counter[weekday] = userbattledata.weekday_counter[weekday] for userteamtype in userbattledata.team_type_res: userteamtypedata = userbattledata.team_type_res[userteamtype] for k in userteamtypedata.times_reborn_by_role_sex: self.times_reborn_by_role_sex[k] += userteamtypedata.times_reborn_by_role_sex[k] for k in userteamtypedata.times_save_by_role_sex: self.times_save_by_role_sex[k] += userteamtypedata.times_save_by_role_sex[k] if userteamtypedata.top_kill_distance > self.top_kill_distance: self.top_kill_distance = userteamtypedata.top_kill_distance def __str__(self): res = [] res.append('总用户数 %d' % self.user_count) res.append('总战斗数 %d' % self.battle_count) res.append('平均日耗时 %d' % self.avg_use_time()) res.append('最远击杀 %d' % max(self.top_kill_distance)) res.append('男性角色被救%d次救人%d次' % (self.times_reborn_by_role_sex[0],self.times_save_by_role_sex[0])) res.append('女性角色被救%d次救人%d次' % (self.times_reborn_by_role_sex[1],self.times_save_by_role_sex[1])) res.append('小时分布') for hour in range(0,24): # res.append(' %d: %d' % (hour,self.hour_counter[hour])) res.append(' %d: %d %.2f%%' % (hour,self.hour_counter[hour],self.hour_counter[hour]/float(self.battle_count)*100)) res.append('星期分布') # res.append(self.weekday_counter.__str__()) for weekday in range(0,7): res.append(' %d: %d %.2f%%' % (weekday+1,self.weekday_counter[weekday],(self.weekday_counter[weekday]/float(self.battle_count)*100))) return ' '.join(res) def get_user_battleinfo_rooms(openid): user_dir = os.path.join(settings.Res_UserBattleInfo_Dir,openid) # files = os.listdir(user_dir) r = [room for room in os.listdir(user_dir)] r = [rr.replace('.txt','') for rr in r] return r if __name__ == '__main__': alluserconter = AllUserCounter() folders = os.listdir(settings.Res_UserBattleInfo_Dir) i = 0 for folder in folders: i+=1 print i,'/',len(folders),folder userbattledata = UserBattleData(folder) for room in userbattledata.get_user_battleinfo_rooms(): userbattledata.update_battle_info_by_room(room) alluserconter.add_user_data(userbattledata) print " " * 3 print "---------------------------------------" print alluserconter