#Microsense

A Flask based server infrastructure for supporting Sensors Note that currently this infra is using JSON, however, after the maturing of the API will move to a suitable database

##Current Supported Platforms: Rasbperry Pi

##Implemented Prototype Methods: *GET *POST

##Backend Technology Stack:

• Flask
• Sockets.io for browser integration
• Flask Sockets
• Python Sockets for Platform to server stream

##Frontend Technology Stack:

• Semantic-Ui GUI framework
• d3.js realtime visualization
• jquery for event binding

##API Still super early. Early sketch of the API.

sid : Sensor ID
pid : Platform ID
p_name : Platform Name
s_name: Sensor Name
p_desc: Platform description
s_desc: Sensor description
s_data: Actual sensor data
s_live: Boolean value if the data is live or not. In this case need to stream it.

##Current Curl Calls + curl -i -H "Content-Type: application/json" -X POST -d '{jsonhere}' http://127.0.0.1:5000/microsense/api/v0.1/sensors + curl -i http://127.0.0.1:5000/microsense/api/v0.1/sensors + curl -i http://127.0.0.1:5000/microsense/api/v0.1/sensors/sid

##Implemented Platforms at the Moment Raspberry PI UltraSonic Sensor

ToDO for RBP

• Static Graphs
• Social Integration Bug Fixes

Done for RBP

• Platform Info
• Socket Stream to API server
• Template Integration
• WebSocket Stream to Webapp
• Live Data Visualization

##License

BSD License