mirror of https://github.com/testerSunshine/12306
update version 1.1.114
xianping.wen
parent
399f9b6626
commit
5fd9b8f8c9
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@ -4,24 +4,23 @@
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# 如果这个时候捡漏捡到的话，也是可以付款成功的，也就是说，捡漏+候补，可以最大程度提升抢票成功率
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# 刷票模式：1=刷票 2=候补+刷票
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TICKET_TYPE = 2
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TICKET_TYPE = 1
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# 出发日期(list) "2018-01-06", "2018-01-07"
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STATION_DATES = [
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"2019-10-01"
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"2019-09-26"
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]
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# 填入需要购买的车次(list)，"G1353"
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# 修改车次填入规则，注：(以前设置的车次逻辑不变)，如果车次填入为空，那么就是当日乘车所有车次都纳入筛选返回
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STATION_TRAINS = [
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"",
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]
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# 不填车次是整个list为空才算，如果不是为空，依然会判断车次的，这种是错误的写法 [""], 正确的写法 []
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STATION_TRAINS = []
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# 出发城市，比如深圳北，就填深圳就搜得到
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FROM_STATION = ""
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FROM_STATION = "松山湖北"
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# 到达城市 比如深圳北，就填深圳就搜得到
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TO_STATION = ""
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TO_STATION = "西平西"
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# 座位(list) 多个座位ex:
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# "商务座",
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@ -34,7 +33,7 @@ TO_STATION = ""
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# "无座",
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# "动卧",
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SET_TYPE = [
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"",
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"无座",
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]
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# 当余票小于乘车人，如果选择优先提交，则删减联系人和余票数一致在提交
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@ -45,12 +44,13 @@ IS_MORE_TICKET = True
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# - "张三"
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# - "李四"
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TICKET_PEOPLES = [
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"",
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"文贤平",
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"李梦云",
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]
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# 12306登录账号
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USER = ""
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PWD = ""
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USER = "qqxin1011"
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PWD = "quxm19861011"
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# 加入小黑屋时间默认为5分钟，此功能为了防止僵尸票导致一直下单不成功错过正常的票
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TICKET_BLACK_LIST_TIME = 5
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@ -58,6 +58,10 @@ TICKET_BLACK_LIST_TIME = 5
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# 自动打码
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IS_AUTO_CODE = True
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# 设置2本地自动打码，需要配置tensorflow和keras库，3为云打码，由于云打码服务器资源有限(为2h4C的cpu服务器)，请不要恶意请求，不然只能关闭服务器
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# ps: 请不要一直依赖云服务器资源，在此向提供服务器的"do it"同学表示感谢
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AUTO_CODE_TYPE = 2
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# 邮箱配置，如果抢票成功，将通过邮件配置通知给您
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# 列举163
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# email: "xxx@163.com"
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@ -73,11 +77,11 @@ IS_AUTO_CODE = True
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# host: "smtp.qq.com"
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EMAIL_CONF = {
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"IS_MAIL": True,
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"email": "",
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"notice_email_list": "",
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"username": "",
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"password": "",
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"host": "",
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"email": "931128603@qq.com",
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"notice_email_list": "931128603@qq.com",
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"username": "931128603@qq.com",
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"password": "lwvgfrcydzyvbfjf",
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"host": "smtp.qq.com",
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}
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# 是否开启 server酱 微信提醒， 使用前需要前往 http://sc.ftqq.com/3.version 扫码绑定获取 SECRET 并关注获得抢票结果通知的公众号
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@ -111,7 +115,7 @@ OPEN_TIME = "13:00:00"
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COOKIE_TYPE = 1
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# 如果COOKIE_TYPE=1，则需配置chromeDriver路径,下载地址http://chromedriver.storage.googleapis.com/index.html
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# chromedriver配置版本只要和chrome的大版本匹配就行
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CHROME_PATH = ""
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CHROME_PATH = "/Users/wenxianping/Downloads/chromedriver"
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# 1=>为一直随机ua,2->只启动的时候随机一次ua
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RANDOM_AGENT = 2
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@ -133,5 +137,6 @@ PASSENGER_TICKER_STR = {
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MAX_TIME = 5
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# 最小间隔请求时间
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MIN_TIME = 3
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# 软件版本
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RE_VERSION = "1.1.113"
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RE_VERSION = "1.1.114"
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@ -185,3 +185,7 @@
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- 增长随机停留时长
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- 增长用户心跳时间，减少对服务器压力
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- 优化下单逻辑
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- 2019.09.18更新
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- 修改下单问题
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- 优化车次打印
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@ -587,6 +587,16 @@ urls = {
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"is_json": True,
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},
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"autoVerifyImage": { # 云打码接口
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"req_url": "/verify/base64/",
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"req_type": "post",
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"Referer": "",
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"Host": "111.230.237.182:8000",
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"re_try": 2,
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"re_time": 2,
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"s_time": 2,
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"is_logger": True,
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"is_json": True,
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"httpType": "http"
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},
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}
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@ -36,7 +36,7 @@ class select:
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def __init__(self):
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self.get_ticket_info()
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self._station_seat = [seat_conf[x] for x in TickerConfig.SET_TYPE]
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self.auto_code_type = 2
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self.auto_code_type = TickerConfig.AUTO_CODE_TYPE
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self.httpClint = HTTPClient(TickerConfig.IS_PROXY)
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self.urls = urlConf.urls
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self.login = GoLogin(self, TickerConfig.IS_AUTO_CODE, self.auto_code_type)
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@ -55,10 +55,14 @@ class select:
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获取配置信息
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:return:
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"""
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print(u"*" * 50)
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print(f"检查当前版本为: {TickerConfig.RE_VERSION}")
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print(u"检查当前python版本为：{}，目前版本只支持3.6以上".format(sys.version.split(" ")[0]))
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print(u"12306刷票小助手，最后更新于2019.09.15，请勿作为商业用途，交流群号："
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version = sys.version.split(" ")[0]
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print(u"检查当前python版本为：{}，目前版本只支持3.6以上".format(version))
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if version < "3.6.0":
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raise Exception
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print(u"12306刷票小助手，最后更新于2019.09.18，请勿作为商业用途，交流群号："
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u" 1群：286271084(已满)\n"
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u" 2群：649992274(已满)\n"
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u" 3群：632501142(已满)\n"
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@ -69,7 +73,7 @@ class select:
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u" 8群: 620629239(未满)\n"
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)
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print(
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f"当前配置：\n出发站：{TickerConfig.FROM_STATION}\n到达站：{TickerConfig.TO_STATION}\n乘车日期：{','.join(TickerConfig.STATION_DATES)}\n坐席：{','.join(TickerConfig.SET_TYPE)}\n是否有票优先提交：{TickerConfig.IS_MORE_TICKET}\n乘车人：{TickerConfig.TICKET_PEOPLES}\n" \
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f"当前配置：\n出发站：{TickerConfig.FROM_STATION}\n到达站：{TickerConfig.TO_STATION}\n车次: {','.join(TickerConfig.STATION_TRAINS) or '所有车次'}\n乘车日期：{','.join(TickerConfig.STATION_DATES)}\n坐席：{','.join(TickerConfig.SET_TYPE)}\n是否有票优先提交：{TickerConfig.IS_MORE_TICKET}\n乘车人：{TickerConfig.TICKET_PEOPLES}\n" \
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f"刷新间隔: 随机(1-3S)\n僵尸票关小黑屋时长: {TickerConfig.TICKET_BLACK_LIST_TIME}\n下单接口: {TickerConfig.ORDER_TYPE}\n下单模式: {TickerConfig.ORDER_MODEL}\n预售踩点时间:{TickerConfig.OPEN_TIME}")
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print(u"*" * 50)
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@ -244,7 +248,7 @@ class select:
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else:
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random_time = round(random.uniform(sleep_time_s, sleep_time_t), 2)
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nateMsg = ' 无候补机会' if TickerConfig.ORDER_TYPE == 2 else ""
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print(f"正在第{num}次查询 随机停留时长：{random_time} 乘车日期: {','.join(TickerConfig.STATION_DATES)} 车次：{'.'.join(TickerConfig.STATION_TRAINS)} 下单无票{nateMsg} 耗时：{(datetime.datetime.now() - now).microseconds / 1000}ms")
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print(f"正在第{num}次查询 随机停留时长：{random_time} 乘车日期: {','.join(TickerConfig.STATION_DATES)} 车次：{','.join(TickerConfig.STATION_TRAINS) or '所有车次'} 下单无票{nateMsg} 耗时：{(datetime.datetime.now() - now).microseconds / 1000}ms")
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time.sleep(random_time)
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except PassengerUserException as e:
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print(e)
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@ -1,6 +1,8 @@
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# coding=utf-8
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from PIL import Image
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from config.urlConf import urls
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from myUrllib.httpUtils import HTTPClient
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from verify.localVerifyCode import verify
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@ -14,9 +16,15 @@ def getRandCode(is_auto_code, auto_code_type, result):
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if auto_code_type == 1:
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print(u"打码兔已关闭, 如需使用自动识别，请使用如果平台 auto_code_type == 2")
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return
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if auto_code_type == 2:
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elif auto_code_type == 2:
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Result = verify(result)
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return codexy(Ofset=Result, is_raw_input=False)
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elif auto_code_type == 3:
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print("您已设置使用云打码，但是服务器资源有限，请尽快改为本地打码")
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http = HTTPClient(0)
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Result = http.send(urls.get("autoVerifyImage"), {"imageFile": result})
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if Result and Result.get("code") is 0:
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return codexy(Ofset=Result.get("data"), is_raw_input=False)
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else:
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img = Image.open('./tkcode.png')
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img.show()
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@ -53,7 +53,7 @@ class query:
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:param ticket_info:
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:return:
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"""
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if self.station_dates:
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if self.station_dates and self.station_trains:
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return ticket_info[3] in self.station_trains
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else:
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return True
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@ -119,7 +119,7 @@ class query:
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self.to_station_h,
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seat_conf_2[j],
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ticket_num))
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if seat_conf_2[j] == "无座" and ticket_info[3][0] in ["G", "D"]:
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if seat_conf_2[j] == "无座" and ticket_info[3][0] in ["G", "D", "C"]:
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seat = 30 # GD开头的无座直接强制改为二等座车次
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if wrapcache.get(train_no):
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print(ticket.QUERY_IN_BLACK_LIST.format(train_no))
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@ -135,7 +135,7 @@ class HTTPClient(object):
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self.setHeadersReferer(urls["Referer"])
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if is_logger:
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logger.log(
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u"url: {0}\n入参: {1}\n请求方式: {2}\n".format(req_url, data, method, ))
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u"url: {0}\n入参: {1}\n请求方式: {2}\n".format(req_url, data, method))
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self.setHeadersHost(urls["Host"])
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if is_test_cdn:
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url_host = self._cdn
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@ -157,7 +157,7 @@ class HTTPClient(object):
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except:
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pass
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response = self._s.request(method=method,
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timeout=2,
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timeout=5,
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proxies=self._proxies,
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url=http + "://" + url_host + req_url,
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data=data,
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@ -1,14 +1,14 @@
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# coding: utf-8
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import TickerConfig
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if TickerConfig.AUTO_CODE_TYPE == 2:
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import base64
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import os
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import cv2
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import numpy as np
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from keras import models, backend
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from verify import pretreatment
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from verify.mlearn_for_image import preprocess_input
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PATH = lambda p: os.path.abspath(
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os.path.join(os.path.dirname(__file__), p)
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)
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@ -1,4 +1,6 @@
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# coding: utf-8
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import TickerConfig
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if TickerConfig.AUTO_CODE_TYPE == 2:
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import sys
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import cv2
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@ -3,6 +3,8 @@
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# 功能：对图像进行预处理，将文字部分单独提取出来
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# 并存放到ocr目录下
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# 文件名为原验证码文件的文件名
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import TickerConfig
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if TickerConfig.AUTO_CODE_TYPE == 2:
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import hashlib
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import os
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import pathlib
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