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12306 | IOError: 【Errno 0】 Error 问题 点我 | Continuous Deployment library

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kandi X-RAY | 12306 Summary

12306 is a Python library typically used in Devops, Continuous Deployment, Docker applications. 12306 has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
IOError: 【Errno 0】 Error 问题 点我.

kandi-support Support

  • 12306 has a medium active ecosystem.
  • It has 30070 star(s) with 9394 fork(s). There are 863 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 204 open issues and 461 have been closed. On average issues are closed in 24 days. There are 61 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of 12306 is 1.0

quality kandi Quality

  • 12306 has 0 bugs and 0 code smells.

securitySecurity

  • 12306 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • 12306 code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.

license License

  • 12306 is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.

buildReuse

  • 12306 releases are available to install and integrate.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA

kandi has reviewed 12306 and discovered the below as its top functions. This is intended to give you an instant insight into 12306 implemented functionality, and help decide if they suit your requirements.

  • main method .
  • Send a query
  • This method initializes hashcode parameters
  • Send HTTP request
  • get old ticketStrList and old tickets
  • Prints codexy
  • Sends auto submit order request .
  • verify
  • Sends query order wait time
  • get drvices ID

12306 Key Features

[ ] 2.7.10 - 2.7.15

[x] 3.6 - 3.7.4

[ ] 2.7.9

[x] 自动打码

[x] 自动登录

[x] 准点预售和捡漏

[x] 智能候补

[x] 邮件通知

[x] server酱通知

验证码目前可以本地识别,需要下载模型,放于项目根目录,全部代码来源于此项目 传送门,表示感谢 1. 模型下载链接:https://pan.baidu.com/s/1rS155VjweWVWIJogakechA 密码:bmlm 群里面也可以下载 2. git仓库下载:https://github.com/testerSunshine/12306model.git

自托管云打码服务器搭建:12306_code_server 如果大家有空闲的服务器,可搭建之后在这个 issues 里面填入自己的服务器(请注意服务器安全!)

项目依赖 requirements.txt

安装方法x: root用户(避免多python环境产生问题): pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt 非root用户(避免安装和运行时使用了不同环境): pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt 许多windows的用户装不了tensorflow的话,可以适当降低版本或者升高版本都是可以的 1. tensorflow的兼容版本 1.14.0rc\1.14.0rc\1.15.0\1.15.0rc 以上版本都测试无问题 2. 如果pip代理的清华源无法下载,可以更换其他源解决此问题

服务器启动: 修改配置文件 可以配置邮箱,配置邮箱的格式在配置里面可以看到ex # 测试邮箱和server酱是否可用, server酱测试的前提是server酱开关开启 # 可以配置server酱提醒(推荐)[配置教程](https://www.jianshu.com/p/8d10b5b9c4e3) # 用python3 还是python 完全取决于安装的时候配置的环境变量是否为python3,以下启动默认环境变量为python3 python3 run.py t 配置配置文件的时候,需注意空格和遵循python语法格式 启动前请先筛选cdn,这点很重要 python3 run.py c 启动服务 python3 run.py r 如果你不知道如何操作,下面的命令可能会帮助你 python3 run.py -h —————————————————————————— sage: run.py [-h] operate positional arguments: operate r: 运行抢票程序, c: 过滤cdn, t: 测试邮箱和server酱,server酱

如果你的服务器安装了docker与docker-compose, 那么你可以忽略上面的所有步骤,直接按以下步骤操作,即可开始抢票: 前提条件: 请确认你安装的docker版本为18.09及以上: docker -v 请确认你安装的docker-compose版本为1.23.2及以上: docker-compose -v 请根据自己需要修改好配置文件:TickerConfig.py 请修改配置文件TickerConfig.py中的变量AUTO_CODE_TYPE和HOST,AUTO_CODE_TYPE改为3, HOST改为"captcha:80"(这里很重要,这是本地打码服务器的配置) 运行命令: 开始抢票:docker-compose up --build -d 停止抢票:docker-compose down 查看抢票log: docker logs --follow ticket

agency - cdn代理

config - 项目配置

verify - 自动打码

init - 项目主运行目录

inter - 接口

myException - 异常

myUrllib request网络请求库

本软件只供学习交流使用,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) 7群: 660689659(已满) 8群: 620629239(已满) 6群: 608792930(未满) 9群: 693035807(未满)

请不要重复加群,一个群就可以了,把机会留给更多人

进群先看公告!!!进群先看公告!!!进群先看公告!!! 重要的事情说三遍

能为你抢到一张回家的票,是我最大的心愿

成功log,如果是购票失败的,请带上失败的log给我,我尽力帮你调,也可加群一起交流,程序只是加速买票的过程,并不一定能买到票 正在第355次查询 乘车日期: 2018-02-12 车次G4741,G2365,G1371,G1377,G1329 查询无票 代理设置 无 总耗时429ms 车次: G4741 始发车站: 上海 终点站: 邵阳 二等座:有 正在尝试提交订票... 尝试提交订单... 出票成功 排队成功, 当前余票还剩余: 359 张 正在使用自动识别验证码功能 验证码通过,正在提交订单 提交订单成功! 排队等待时间预计还剩 -12 ms 排队等待时间预计还剩 -6 ms 排队等待时间预计还剩 -7 ms 排队等待时间预计还剩 -4 ms 排队等待时间预计还剩 -4 ms 恭喜您订票成功,订单号为:EB52743573, 请立即打开浏览器登录12306,访问‘未完成订单’,在30分钟内完成支付!

测试邮箱是否可用 邮箱配置问题看issues

学生票issues 学生票修改

依赖安装不对的问题(ImportError)requirements.txt问题

若快豆子疑问 点我

IOError: 【Errno 0】 Error 问题 点我

测试下单接口是否可用,有两个下单接口,随便用哪个都ok

如果下载验证码过期或者下载失败的问题,应该是12306封ip的策略,多重试几次,12306现在封服务器(阿里云和腾讯云)ip比较严重,尽量不要放在服务器里面

目前12306对服务器ip比较敏感,大家还是在自己家里挂着吧

自动更换ip软件目前已支持TPLINK和小米路由器,只限家庭网络点我跳转

@sun7127@126.com

@ 才

@MonsterTan

以及所有为此项目提供pr的同学

更新日志

12306 Examples and Code Snippets

  • 12306 购票小助手
  • Join two SQL/BigQuery tables that do not contain the same columns
  • How to remove quotation and parenthesis around csvwriter output
  • XSLT Replacing text value of the tag in 1 xml with another xml after checking if attribute are the same then replace text value
  • Function to calculate the percentage of values for each key of a dictionary in Python
  • DB2 not accepting UUID
  • R: Converting a Wide Table to Narrow with Specific Columns

12306 购票小助手

  1. 模型下载链接:https://pan.baidu.com/s/1rS155VjweWVWIJogakechA  密码:bmlm
     群里面也可以下载
  2. git仓库下载:https://github.com/testerSunshine/12306model.git

Community Discussions

Trending Discussions on 12306
  • Join two SQL/BigQuery tables that do not contain the same columns
  • How to remove quotation and parenthesis around csvwriter output
  • XSLT Replacing text value of the tag in 1 xml with another xml after checking if attribute are the same then replace text value
  • Function to calculate the percentage of values for each key of a dictionary in Python
  • Activity takes too much time on first opening
  • Incompatible function prototypes between glew.h and glext.h
  • DB2 not accepting UUID
  • R: Converting a Wide Table to Narrow with Specific Columns
Trending Discussions on 12306

QUESTION

Join two SQL/BigQuery tables that do not contain the same columns

Asked 2022-Apr-15 at 22:14

I have two queries that create two separate tables, pulling on several foreign keys.

Simplified and using retail food as an example, Table 1 looks like this:

Transaction ID City Store Item Description
12320 Boston Joe's Shop 12305 Banana
12321 LA Bob's Market 12306 Apple
12322 NY Suzy's Corner Store 12307 Strawberry

Table 2 looks like this:

Transaction ID City Item Description
12323 SF 12308 Pineapple
12324 Houston 12306 Apple
12325 Miami 12307 Strawberry

Essentially, Table 2 contains transactions that do not have a store, and as such are treated differently in our company (and reported on separately). However, I was wondering how can I incorporate both tables to achieve something like this? I am getting stuck since the data pull for each table comes from different places, since in this example, transactions sold without a store get classified completely differently.

Transaction ID City Store Item Description
12320 Boston Joe's Shop 12305 Banana
12321 LA Bob's Market 12306 Apple
12322 NY Suzy's Corner Store 12307 Strawberry
12323 SF No Store 12308 Pineapple
12324 Houston No Store 12307 Apple
12325 Miami No Store 12307 Strawberry

Thank you in advance for your help!

ANSWER

Answered 2022-Apr-15 at 22:14

In SQL this is called a UNION. You can union two sets if they have the same columns, such as:

select trans_id, city, store, item, description from table1
union
select trans_id, city, 'No Store' as store, item, description from table2

Source https://stackoverflow.com/questions/71889285

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install 12306

You can download it from GitHub.
You can use 12306 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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