timetric 1.1

Client library for Timetric (http://timetric.com/)

A client for Timetric (http://timetric.com/).

Requirements (easy-installable, listed as prereqs in setup.py):

• httplib2

• python-dateutil

• oauth

• simplejson

Usage:

>>> import timetric

# You need a config dict with at minimum your secret and key from Timetric
# (see the "Applications" pane of the settings page). In a real app you'll
# want to make this config persistant (the shelve module is a lightweight
# place to start) because the library will store OAuth authentication
# information back to this config.
>>> conf = {'consumer_secret': 'XXX', 'consumer_key': 'XXX'}
>>> client = timetric.TimetricClient(conf)

# The first time through you'll need to authorize your key with Timetric
# by sending the user to an authorization request page.
>>> import webbrowser
>>> webbrowser.open(client.get_authorize_url())

# Once the user has authorized at that page, you can continue.
>>> client.get_access_token()

# Now you're authorized and can read and write the user's series.
# It appears there's no API method to get a list of a particular
# user's series, so you need to somehow "know" the series ID.
>>> series = client.series('p-DpewL0TO-iBE4nMBCTsQ')

# Get the latest value
>>> series.latest()
(1236707269.0, 2.0)

# Iterate over the whole dataset
>>> for (timestamp, value) in series:
...     print timestamp, value
1236463646.39 3.0
1236486562.94 5.0
1236493503.37 6.0

# Update given a single value
>>> series.update(14)

# Update given an iterable of (time, value) pairs
>>> import time
>>> data = [(time.time() - 100, 11), (time.time() + 100, 15)]
>>> series.update(data)

# Update given a file of CSV data
>>> series.update(open('/tmp/data.csv'))

# Clear all the data out of the series
>>> series.delete()