Indoor Location Emulator For Machine Learning Models Backend Module

That repository includes the Python modules of Indoor Location Emulator backend.

Main features

• MQTT client for communication (paho-mqtt)
• Catching Map Walls (from static-files/config_maps)
• Distances calculations (between asset points and antennas)
• RSSI calculations (between asset points and antennas) using "rssi" features
• Activations calculations (between asset points points and antennas) using "activations" features
• Use of GOD Class (object that knows everything about the system)

The Dev environment implies the creation of a virtual environment (venv) whose dependencies come in the requirements.txt file.

Usefull commands:

• install venv package: > sudo apt-get install python3-venv
• remove .venv directory: > rm -Rfv .venv
• create .venv directory: > python3 -m venv .venv
• activate .venv: > source .venv/bin/activate
• install dependencies on .venv from requiremnts.txt: > pip install -r requirements.txt
• generate documentation using pdoc: > pdoc --math -d google -o docs src
• show .venv network ip route: > ip route

Documentation

Python Documentation of Backend Module, built with pdoc: here.

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