labpack 0.6

A Collection of Methods for Data Collection & Processing

labPack

A Collection of Methods for Data Collection & Processing

Downloads:

http://pypi.python.org/pypi/labPack

Source:

https://github.com/collectiveacuity/labPack

Installation

>From PyPi:

$ pip install labpack

>From GitHub:

$ git clone https://github.com/collectiveacuity/labPack
$ cd labPack
$ python setup.py install

Getting Started

This module is designed to make the process of retrieving, managing and processing data more uniform across a variety of different sources and structures. The methods in this module aggregate and curate python resources and online APIs to provide a set of best practices for handling data across laboratory projects.

Create an unique ID for records:

from labpack.records.id import labID

id = labID()
url_safe_id_string = id.id48
id_datetime = id.epoch
id_mac_address = id.mac

Save record data in local user data:

from labpack.storage.appdata import appdataClient

msg_key = '%s/%s.yaml' % (id_mac_address, id_datetime)
msg_details = { 'dt': id_datetime, 'mac': id_mac_address, 'msg': 'Text me back' }
msg_client = appdataClient('Outgoing', 'My Team', 'My App')
mgs_client.create(msg_key, msg_details)

For more details about how to use labPack, refer to the Reference Documentation on GitHub