coffeebuddy

Do you use a paper based tally sheet to count your team's coffee consumption? Throw it away and use coffeebuddy!

Usage

Optional: Create virtual environment
```
python3 -m venv .env
. .env/bin/activate
pip install -r requirements.txt
```
If pyscard fails building you might need to install dependencies. For Debian based distributions this would be
```
sudo apt install swig libpcsclite-dev
```
Connect a pcsc smart card reader. I use a uTrust 4701f. Drivers for Ubuntu can be installed for example by
```
sudo apt install pcscd pcsc-tools
```
Start production environment
```
./bin/run.py
```
or development environment
```
FLASK_ENV=development ./bin/run.py
```

Tests

Run tests with python -m unittest test/test_app.py

Application

The final application uses a Raspberry Pi attached to a 7" touchscreen. Thus, the HTML an CSS is optimized for a display with a resolution of 1024x600.

Configuration for Raspberry Pi

Misc

At least I had to adjust the following settings:

Fix screen resolution

hdmi_group=2
hdmi_mode=87
hdmi_cvt 1024 600 60 3 0 0 1
hdmi_drive=2

If display has to be rotated by 180° adjust /etc/X11/xorg.conf.d/40-libinput.conf

Section "InputClass"
    Identifier "libinput touchscreen catchall"
    MatchIsTouchscreen "on"
    MatchDevicePath "/dev/input/event*"
    Driver "libinput"
    Option "CalibrationMatrix" "-1 0 1 0 -1 1 0 0 1"
EndSection

Disable translation option in chrome

Card reader

Coffeebuddy works with PCSC reader and with SPI RFID module "RC522". Latter is supported on Raspi by several python modules. Although mrfc522 is widely used it leads to a high CPU consumption when polling for card. pi-rc522 uses interrupt based SPI communication.

Both modules can be used and selected in config.py.