Description
描述问题
`
/home/ronyang/.pyenv/versions/3.6.4/bin/python /ssd/JetBrains/apps/PyCharm-C/ch-0/192.6262.63/helpers/pydev/pydevd.py --multiproc --qt-support=auto --client 127.0.0.1 --port 42091 --file /ssd/mypython/12306/run.py
pydev debugger: process 3321 is connecting
Connected to pydev debugger (build 192.6262.63)
Using TensorFlow backend.
检查当前版本为: 1.1.105
检查当前python版本为：3.6.4，目前版本只支持3.6以上
12306刷票小助手，最后更新于2019.09.03，请勿作为商业用途，交流群号： 1群：286271084(已满)
2群：649992274(已满)
3群：632501142(已满)
4群: 606340519(已满)
5群: 948526733(已满)
6群: 444101020(未满)
7群: 660689659(未满)
当前配置：
出发站：深圳北
到达站：隆回
乘车日期：2019-10-01
坐席：二等座
是否有票优先提交：True
乘车人：['']
刷新间隔: 随机(1-3S)
僵尸票关小黑屋时长: 5
下单接口: 2
下单模式: 2
预售踩点时间:13:00:00
开启cdn查询
本次待筛选cdn总数为1857, 筛选时间大约为5-10min
cookie获取中
cookie获取完成
需要验证码
下载验证码...
下载验证码成功
Corrupt JPEG data: 16 extraneous bytes before marker 0xd9
WARNING:tensorflow:From /home/ronyang/.pyenv/versions/3.6.4/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3733: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob.
2019-09-07 14:35:10.588215: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3192900000 Hz
2019-09-07 14:35:10.588544: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5972b00 executing computations on platform Host. Devices:
2019-09-07 14:35:10.588566: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): ,
2019-09-07 14:35:10.676165: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
/home/ronyang/.pyenv/versions/3.6.4/lib/python3.6/site-packages/keras/engine/saving.py:310: UserWarning: No training configuration found in save file: the model was not compiled. Compile it manually.
warnings.warn('No training configuration found in save file: '
题目为['锦旗']
WARNING:tensorflow:From /home/ronyang/.pyenv/versions/3.6.4/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:2041: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.
/home/ronyang/.pyenv/versions/3.6.4/lib/python3.6/site-packages/keras/engine/saving.py:310: UserWarning: No training configuration found in save file: the model was not compiled. Compile it manually.
warnings.warn('No training configuration found in save file: '
1 调色板
2 棉棒
3 排风机
4 电子秤
5 锦旗
6 调色板
7 网球拍
8 锦旗
验证码识别坐标为40,149,256,149
40,149,256,149
验证码校验失败
需要验证码
下载验证码...
下载验证码成功
Corrupt JPEG data: 15 extraneous bytes before marker 0xd9
/home/ronyang/.pyenv/versions/3.6.4/lib/python3.6/site-packages/keras/engine/saving.py:310: UserWarning: No training configuration found in save file: the model was not compiled. Compile it manually.
warnings.warn('No training configuration found in save file: '
题目为['老虎']
/home/ronyang/.pyenv/versions/3.6.4/lib/python3.6/site-packages/keras/engine/saving.py:310: UserWarning: No training configuration found in save file: the model was not compiled. Compile it manually.
warnings.warn('No training configuration found in save file: '
1 电子秤
2 电线
3 排风机
4 茶盅
5 排风机
6 红酒
7 锦旗
8 老虎
验证码识别坐标为256,149
256,149
验证码通过,开始登录..
url: /passport/web/login返回参数为空, 接口状态码: 302
url: /passport/web/login返回参数为空, 接口状态码: 302
url: /passport/web/login返回参数为空, 接口状态码: 302
`
`
def baseLogin(self, user, passwd):
"""
登录过程
:param user:
:param passwd:
:return: 权限校验码
"""
logurl = self.session.urls["login"]
loginData = OrderedDict()
loginData["username"] = user,
loginData["password"] = passwd,
loginData["appid"] = "otn",
loginData["answer"] = self.randCode,
tresult = self.session.httpClint.send(logurl, loginData)
**_if 'result_code' in tresult and **tresult**["result_code"] == 0:_**
print(u"登录成功")
tk = self.auth()
if "newapptk" in tk and tk["newapptk"]:
return tk["newapptk"]
else:
return False
elif 'result_message' in tresult and tresult['result_message']:
messages = tresult['result_message']
if messages.find(u"密码输入错误") is not -1:
raise UserPasswordException("{0}".format(messages))
else:
print(u"登录失败: {0}".format(messages))
print(u"尝试重新登陆")
return False
else:
return False
`
in debug mode, error as following
tresult = {dict} <class 'dict'>: {'code': 99999, 'message': '重试次数达到上限'}
'code' (140346851125936) = {int} 99999
'message' (140346850742768) = {str} '重试次数达到上限'
__len__ = {int} 2
重现步骤
步骤一
截图&日志
环境信息
- ubuntu18
- python3.6.4
- 订票小助手版本 1.1.105
额外的备注
- Add any other context about the problem here.