Flood Tracker App

A big problem in Miami is flooding. Code for Miami started an IOT project to build flood trackers. In this project we look into notifying end-users about flooding using Python.

See it running: http://secret-island-98010.herokuapp.com/

Features

Subscribe to device to get alerts via SMS
Receive post requests for /api/reading_request for particle readings - in development
Display list of devices at /api/devices
display device reading by ID at /api/devices/int:device_id

Requirements

Docker and Docker Compose
Built on Python / Flask / Postres SQL

To run this project:

Clone the project
Create a folder with the name 'env' in the root directory of the repo and add a web-var.env file with values within that folder for the following:
FLASK_APP=iot
FLASK_ENV=development
DATABASE_URL=postgresql://postgres@db/iot
SECRET_KEY=secret_key
TWILIO_ACCOUNT_ID=secret_key
TWILIO_SECRET_KEY=secret_key
TWILIO_VERIFY_SECRET_KEY=secret_key
SQLALCHEMY_DATABASE_URI=secret_key
PARTICLE_SECRET_KEY=secret_key

run
docker-compose build && docker-compose up
navigate to localhost:8000

NOTE

the dummy_data folder contains CSV's that you can import into the postgres container iot database device_export is for the device table, device_readings_export is for the device readings table.

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