The project is now unmaintained as I am no longer studying at VUT FIT. If anyone is still interested in this project, feel free to message me or create an issue, and I will take a look. PRs are still welcome.

At the moment password login is not working as VUT FIT changed their login screen.

Subfit is a simple script to submit your project to the studis.

• configurable with config file
• supports multiple types of authentication
  • prompt for username and password ❌ (not working at the moment)
  • use login file with username or username and password ❌ (not working at the moment)
  • gets cookie from the browser
• automatically compresses archive before submitting
• downloads the archive after submission from Studis and compares hashes with original file
• prints time of submission from studis

1. creates archive if specified
2. gets login information
3. checks if the file has already been submitted
   1. removes old submission
4. submits file
5. checks if the file was submitted correctly (--check option)
   1. downloads file into --check_folder
   2. compares hashes
6. gets the time of submission in studis, and prints its value

• python3
• pip3
• Rest is in requirements.txt

Download this repository to the folder where you want to have subfit installed.

git clone https://github.com/nod3zer0/subfit.git

pip3 install -r requirements.txt

sudo chmod +x subfit.py
sudo ln -rs subfit.py /usr/local/bin/subfit   

If you installed it with symbolic link. You can just use git pull from where you have downloaded this repository.

1. create config file in your project folder
   1. set file to the file you want to submit (usually archive file with the specified format by the project assignment)
   2. optionally set archive_command to any valid bash command for creating archive before the submission begins
   3. set url to the submission url project page
   4. optionally set check to true to verify file after upload
      1. set check_folder to the folder where to download file for checking
   5. set login_type to login type
      1. for example login_type: login_file
         1. set login_file to path to login file
2. run subfit in your project folder. The file will be submitted and optionally verified if check is set to true.

subfit (-u | --url) "<studis_submission_url>" (-f | --file) <file_to_submit>
[-l | --login_type (browser_cookies --browser <browser>) | (login_file --login_file <path_to_login_file>) | prompt)]
[(-a | --archive_command) <archive_command>] [(-c | --check --check_folder <path_to_check_folder)]

Arguments are described in the configuration section. Command line values have precedence over configuration values. Required arguments need to be specified either in command line or in the config file.

Running in the same folder as the config file (with name subfit_config.yml):

subfit

Running with the config file in a different folder:

subfit --config <path_to_config_file>

Prompt for username and password:

subfit --url "<studis_submission_url>" --file <file_to_submit>

Use login file:

subfit --url "<studis_submission_url>" --file <file_to_submit> --login_type login_file --login_file <login_file> 

Use cookie from browser:

subfit --url "<studis_submission_url>" --file <file_to_submit> --login_type browser_cookies --browser chrome

The config file is a simple yaml file. If it is named subfit_config.yml it will be loaded automatically.

Example config file:

# filepath to file to submit
file: xlogin.tar
# command for creating archive (leave blank if you dont want to create archive)
archive_command: tar -cvf xlogin.tar file1.c file2.c
# url of where to upload file
url: https://www.vut.cz/studis/student.phtml?sn=zadani_odevzdani&registrace_zadani_id=971964&apid=268279
#compares hashes of uploaded and local file after upload
check: true
#where to download file after uploading for hash checking
#(folders will be created, files will be owerwritten!)
check_folder: test_folder
# for login with browser cookies fill in browser
browser: brave
# fill in path to yaml file with login information
login_file: /home/username/login.yml
#broser_cokies/login_file/prompt
login_type: login_file

Specifying any of the listed value as command line arguments overrides stored value in configuration. If the config is named subfit_config.yml it will be loaded automatically.

• file - path to file to submit (short command line argument: -f)
• archive_command - command for creating archive (leave blank if you dont want to create archive) (short command line argument: -a)
• url - url of the submission page in Studis (image bellow) (short command line argument: -u)
• check - verifies uploaded file by downloading it from Studis and comparing hashes with the original file (short command line argument: -c)
  • check_folder - destination path for downloaded files from studis (folders will be created, and files will be overwritten!)
• login_type - used method for obtaining user credentials during submission (short command line argument: -l). Applicable values are:
  • browser_cookies - get the cookie from the browser
  • login_file - use login file (path specified in login_file)
  • prompt - prompt for username and password
• browser - for login with browser cookies fill in the browser. Applicable only with browser_cookies as a value for login type.
  • accepted values: chrome, firefox, brave, opera, edge, chromium, vivaldi, safari
• login_file - destination path for yaml login file storing user credentials to Studis. Applicable only with login_file as a value for login type.

username: xlogin00
password: password

The password field is optional in the login file:

username: xlogin00

During submission, the password prompt will appear if the password field is omitted.

Each time the login page is refreshed, it gets a new sv[fdkey] from the server. So this script first gets this value from the login page, and then sends it back with username, password, and timestamp, to get the session cookie.

First, it gets the page with the submission form and gets the s_key and s_tkey (which is new every time the page gets refreshed). Then it sends the file these values and the session.

• moodle (ELEARNING) support
• support multiple files
• git hook after merge/commit to master
• save cookies for later use for faster submissions