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https://github.com/mitjafelicijan/nanocloudlogger

Simple cloud based logger for microcontrollers.
https://github.com/mitjafelicijan/nanocloudlogger

arduino cloud data-stream hardware microcontroller sensor

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Simple cloud based logger for microcontrollers.

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README

        

NanoCloudLogger
===============

Simple cloud based logger for devices like microcontrollers.

General information
-----------------

Nano logger provides user to easily store data in a cloud based environment without having to write any code on server side. Idea behind this is that every user can store his data (POST method) in his own stream (usually different stream id for each application) and then access data via basic GET method.

The reason behind this project is I needed simple solution for prototyping and I didn't want to write web services every time when I needed to store data remotely.

This tool is for prototyping use only. It was not intended to be used commercially.

Each stream has its own id and can store x number of inputs. Inputs in this case can be sensor data (examples below). This is especially useful for Arduino developers or any kind of telemetry projects.

Server side code is written in Python on top of Google App Engine. Tested and developed on Google App engine v1.7.2.

In example below I will demonstrate how to use this tool on a project where I have two sensors I call inputs (temperature, photocell) hooked up on a Arduino. Lets assume I am running Google App Engine locally (http://localhost:8080/). Alert: If you will run this service locally all database records will be lost if you will restart service.

Application is located in src/loggergae.

python /path-to-your-gae-dir/dev_appserver.py /path-to-nano-logger-dir/src/loggergae

If you are using Windows or Mac please check Google App Engine website on information how to run apps.

If you point your browser to (eg http://localhost:8080) after you run application help is displayed.

Initializing stream
-----------------

All you need to do to initialize stream is to give it an ID. Stream ID is alphanumerical string. Streams are read/write and are public. No authentication is needed for accessing and modifying stream. You can add inputs as you go.

Stream example names:

application1
my_sensor_stream
home_automation

Reading data stream
-----------------

Example: http://localhost:8080/api/get?stream=my_sensor_stream
API url: /api/get
Formats: json, csv
Method: GET
Returns: array of values

Parameters

stream Stream identifier.
lastid Only outputs records with biggers id than lastid. Useful when fetching realtime data from service and you only need latest results.
format Defines type of response output.
limit Limits number of output records.

Examples of usage:

http://localhost:8080/api/get?stream=my_sensor_stream
http://localhost:8080/api/get?stream=my_sensor_stream&format=json
http://localhost:8080/api/get?stream=my_sensor_stream&lastid=50&limit=5&format=csv

Examples of response:

JSON
[{ "input": "temperature", "data": "28", "id": 6, "datetime": "2012-09-27 00:54:00.441780" },
{"input": "photocell", "data": "897", "id": 5, "datetime": "2012-09-27 00:54:00.439565" }]

CSV
6,2012-09-27 00:54:00.441780,temperature,28
5,2012-09-27 00:54:00.439565,photocell,897

Adding to data stream
--------------------

Examples: http://localhost:8080/api/set?stream=my_sensor_stream
API url: /api/set
Method: POST
Returns: status

Examples of usage:

http://localhost:8080/api/set?stream=my_sensor_stream

POST varibles with this request:
key value
--------------------------------
temperature 28
photocell 755
...