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This article mainly explains "how to achieve 12306 intelligent ticket brushing program on Github". The content of the article is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn "how to achieve 12306 intelligent ticket brushing program on Github".

Thought map:

It still looks a little complicated.

Program installation

I am a Windows10 system and have Python3.6 installed (no Python2 installed). The program was successfully installed using the following steps:

Step 1 download and extract the Github code

Click the green box Clone or download in the figure.

Step 2 installation

The commands we use are:

Pip install-I https://pypi.tuna.tsinghua.edu.cn/simple-r requirements.txt-- user

Note that we need to go to the unzipped folder for terminal installation, because the requirements.txt file is required during the installation process.

What I have here-- user is added to avoid permission problems.

Experience program

After successfully installing the program, I briefly experienced the program:

The first step is to modify the profile

Open the TickerConfig.py file and fill in the account password and the name of the passenger.

Step 2: filter cdn

According to the reminder on the home page, let's run:

Python run.py c

The third step to run the program

Officially run the program after the first two steps are ready

Python run.py r

After running, it is found that the verification of the verification code failed:

The fourth step is changed to local coding.

Due to the failure of cloud coding, I changed the parameters responsible for local coding in the TickerConfig.py file:

Run the program again or jump on the street:

Well, the error lies in the image recognition code.

Since I had no actual demand for tickets, I didn't go any further.

Suggestion

I believe there will be a lot of problems in the actual process of running the program. In fact, Github has already reported a lot of problems (issue):

Thank you for your reading, the above is the content of "how to achieve 12306 intelligent ticket brushing program on Github". After the study of this article, I believe you have a deeper understanding of how to achieve 12306 intelligent ticket brushing program on Github, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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