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Init virtual environment and Intall Python requirements

$ virtualenv .venv

$ . .venv/bin/activate

NOTE: On Windows $ . .venv/Scripts/activate

$ pip install -r requirements

Run the application

$ export FLASK_APP=main.py

$ flask run

Alternatively you can use python:

$ python main.py

Externally Visible Server

$ flask run --host=0.0.0.0

This tells your operating system to listen on all public IPs.

Debug mode

Debug mode will use the mock database instead of MongoDB.

$ export FLASK_DEBUG=1

$ flask run

(On Windows you need to use set instead of export).

Docker image

Download Docker image

docker pull blgo/flask-realtime-restapi:latest

Run Docker image

Start MongoDB or set FLASK_DEBUG to skip this command:

docker run --rm -p 27017:27017 -d mongo

Start Realtimeapp

docker run --rm -p 80:80 blgo/flask-realtime-restapi:latest

TODO

Websockets charts module should not call the database directly. It should usethe API module to retrieve sensor data, readings, etc. This will require running this module as a separate application, following a Microservices like architecture.

The application should be made out of 3 services: MongoDB <> REST API > Web UI & Websockets server (The Web UI is only for monitoring purposes and at the moment does not POST to the REST API)