Used to record WKU's utility bills on a regular basis.

Overview

WKU水电费小助手

一个用于定期记录WKU水电费的脚本

Looking for English Readme?

背景

由于WKU校园内的水电账单系统时常存在扣费延迟的现象,而补扣的费用缺乏令人信服的证明。不少学生为费用摸不着头脑,但也没有申诉的依据。为了更好地掌握水电费使用情况,留下一手证据,我开源了这个自动化脚本。配合定时任务,它可以根据设定的时间间隔,自动查询当前的剩余的水电费情况,并形成记录。

安装以及部署

步骤#1: 捕获必要的验证信息

在获取水电费数据过程中,Cookie是通过身份认证的必要元素。为了抓取用于认证的数据包,我从微信公众号 ”温州肯恩大学校园卡 “下的“一卡通充值”服务入手。

提示:在本篇教程中,我使用Fiddler作为抓包工具。

步骤#1.1: 启用对HTTPS流量的捕获功能

由于我们获取Cookie所需的参数是通过HTTPS通信的,所以我们必须确保在开始之前,抓包软件已经启用了这个功能。

fiddler_https

步骤#1.2: 抓取微信公众号下H5网页的HTTPS请求

在抓包软件开始正常抓包后,我们打开微信公众号 ”温州肯恩大学校园卡 “并依次点击 "校园服务"、"一卡通充值"、"缴水费"。

步骤#1.3: 获得验证数据

最后一步! 我们从抓包软件中找到请求头为 "POST /app/login/getThirdUserAuthorize HTTP/1.1"的请求。在文本视图中复制ymTokenymUserId备用。

fiddler_data

提示:如果文本包含特殊符号,你需要将其转换为ASCII码。例如,"="需要转换为"%3D"。

步骤#2:安装Python脚本的依赖包

这个项目使用了Python3以及相关的依赖包,请确保你已经安装了它们。

pip install -r requirements.txt

步骤#3: 获取你寝室的areaCode

步骤#3.1: 填入验证数据

还记得我们在第一步获取的ymTokenymUserId嘛?将它们复制到我所提供的两个脚本中。

example_ym

步骤#3.2: 执行firstRun.py

在firstRun脚本中,你需要按照提示依次选择所属楼栋、所在楼层以及寝室号。

python firstRun.py

Step#3.3: 获取areaCode

复制脚本提供的areaCode,以便之后部署水电费记录机器人。

example_firstRun

提示:如果显示的水电费与微信公众号不一样,请通过问题板块告诉我(或者见面告诉我)

第4步:部署水电费记录机器人

步骤#4.1: 执行logRobot.py

python logRobot.py "your_area_code"

example_logRobot

提示:areaCode参数需要用引号括起来,否则记录机器人会报错。

执行后,在当前目录下会产生一个以areaCode为名称的txt文件。时间和对应的水电费会被记录在其中。

example_logFile

步骤#4.2: 将机器人部署在你想要部署的地方

该脚本目前部署在我的私人NAS上,并通过crontab定期进行记录。下面是我设置的crontab任务。

0 */4 * * * cd /data/fee && /usr/bin/python3 logRobot.py [areaCode]

拓展

这个脚本在轻量改写后可以在钉钉中实现缴费预警的功能。代码会在以后公布(可能会吧 老鸽子了orz)

example_dingReport

Steerable discovery of neural audio effects

Steerable discovery of neural audio effects Christian J. Steinmetz and Joshua D. Reiss Abstract Applications of deep learning for audio effects often

Christian J. Steinmetz 182 Dec 29, 2022
PyTorch implementation of PNASNet-5 on ImageNet

PNASNet.pytorch PyTorch implementation of PNASNet-5. Specifically, PyTorch code from this repository is adapted to completely match both my implemetat

Chenxi Liu 314 Nov 25, 2022
Deep Reinforcement Learning with pytorch & visdom

Deep Reinforcement Learning with pytorch & visdom Sample testings of trained agents (DQN on Breakout, A3C on Pong, DoubleDQN on CartPole, continuous A

Jingwei Zhang 783 Jan 04, 2023
Multi-Task Deep Neural Networks for Natural Language Understanding

New Release We released Adversarial training for both LM pre-training/finetuning and f-divergence. Large-scale Adversarial training for LMs: ALUM code

Xiaodong 2.1k Dec 30, 2022
A framework for the elicitation, specification, formalization and understanding of requirements.

A framework for the elicitation, specification, formalization and understanding of requirements.

NASA - Software V&V 161 Jan 03, 2023
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

BAM and CBAM Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)" Updat

Jongchan Park 1.7k Jan 01, 2023
Scales, Chords, and Cadences: Practical Music Theory for MIR Researchers

ISMIR-musicTheoryTutorial This repository has slides and Jupyter notebooks for the ISMIR 2021 tutorial Scales, Chords, and Cadences: Practical Music T

Johanna Devaney 58 Oct 11, 2022
An intelligent, flexible grammar of machine learning.

An english representation of machine learning. Modify what you want, let us handle the rest. Overview Nylon is a python library that lets you customiz

Palash Shah 79 Dec 02, 2022
A python3 tool to take a 360 degree survey of the RF spectrum (hamlib + rotctld + RTL-SDR/HackRF)

RF Light House (rflh) A python script to use a rotor and a SDR device (RTL-SDR or HackRF One) to measure the RF level around and get a data set and be

Pavel Milanes (CO7WT) 11 Dec 13, 2022
Generative Adversarial Networks(GANs)

Generative Adversarial Networks(GANs) Vanilla GAN ClusterGAN Vanilla GAN Model Structure Final Generator Structure A MLP with 2 hidden layers of hidde

Zhenbang Feng 2 Nov 05, 2021
Multi-Modal Machine Learning toolkit based on PyTorch.

简体中文 | English TorchMM 简介 多模态学习工具包 TorchMM 旨在于提供模态联合学习和跨模态学习算法模型库,为处理图片文本等多模态数据提供高效的解决方案,助力多模态学习应用落地。 近期更新 2022.1.5 发布 TorchMM 初始版本 v1.0 特性 丰富的任务场景:工具

njustkmg 1 Jan 05, 2022
Machine learning notebooks in different subjects optimized to run in google collaboratory

Notebooks Name Description Category Link Training pix2pix This notebook shows a simple pipeline for training pix2pix on a simple dataset. Most of the

Zaid Alyafeai 363 Dec 06, 2022
Data Augmentation with Variational Autoencoders

Documentation Pyraug This library provides a way to perform Data Augmentation using Variational Autoencoders in a reliable way even in challenging con

112 Nov 30, 2022
Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning"

Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning" Getting started Prerequisites CUD

70 Dec 02, 2022
Understanding Convolution for Semantic Segmentation

TuSimple-DUC by Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, and Garrison Cottrell. Introduction This repository is for Under

TuSimple 585 Dec 31, 2022
R3Det based on mmdet 2.19.0

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object Installation # install mmdetection first if you haven't installed it

SJTU-Thinklab-Det 38 Dec 15, 2022
MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;

MoViNet-pytorch Pytorch unofficial implementation of MoViNets: Mobile Video Networks for Efficient Video Recognition. Authors: Dan Kondratyuk, Liangzh

189 Dec 20, 2022
Official Implementation of "Transformers Can Do Bayesian Inference"

Official Code for the Paper "Transformers Can Do Bayesian Inference" We train Transformers to do Bayesian Prediction on novel datasets for a large var

AutoML-Freiburg-Hannover 103 Dec 25, 2022
User-friendly bulk RNAseq deconvolution using simulated annealing

Welcome to cellanneal - The user-friendly application for deconvolving omics data sets. cellanneal is an application for deconvolving biological mixtu

11 Dec 16, 2022
Calculates carbon footprint based on fuel mix and discharge profile at the utility selected. Can create graphs and tabular output for fuel mix based on input file of series of power drawn over a period of time.

carbon-footprint-calculator Conda distribution ~/anaconda3/bin/conda install anaconda-client conda-build ~/anaconda3/bin/conda config --set anaconda_u

Seattle university Renewable energy research 7 Sep 26, 2022