⚠️ This bot was made redundant since the UniSa refectory now publishes menus through their social media.Additionally, the perser it relies on to get its data has stopped working when the webpage used to gather the official menus was overhauled.
A simple python script that uses the data from my Cacher for the UniSa Refectory to post the menu for a specific day to a telegram channel. It won't post the same day two times in a row, but it will reattempt if last attempt failed.
Run by running execute inside the directory, or put it in your crontab to
post daily.
Posts are pre-written in italian for quite obvious reasons.
DATADIR: The directory where you're storing the csv database and the files subdirectory
containing the various files downloaded by the cacher and to be posted. Default value is
$HOME/adisurc.
BOT_TOKEN: The API Token for your Telegram bot, as given by the BotFather.
CHANNEL_ID: The Telegram handle of the channel where the bot should post.
UPLOAD_PNG: Set to any value if the bot should also upload PNG images of the menu.
DATE_OFFSET: The bot, by default, posts the menu for the current date. If you need to
offset this date (i.e. to post tomorrow's menu) you might use the DATE_OFFSET variable,
specifying the number of days to add to the current day. It supports negative numbers.
TIME_OFFSET: If you need to offset the date by some hours (i.e. to post the menu 8 hours
early), you might use the TIME_OFFSET variable, specifying the number of hours to add to
the current time. It supports negative numbers.
MEAL: The bot, by default, sends the lunch menu. If you want to explicitly mark what menu to send,
you might use the MEAL environment variable, setting it to 0 for Lunch, 1 for Dinner. (Setting it
to 0 or any value other than 1 currently matches default behaviour, but default behaviour will not
be guaranteed forever and it's highly suggested you explicitly mark the meal you intend to send).
You may run this through Docker by mounting a volume to /adisurc (or passing your own DATADIR
environment variable and mounting the volume there). The Dockerfile is extremely simple and based
on the python image.
