timetric 1.3

Authentication setup

You’ll provide authentication information to the TimetricClient in a config dict. Timetric supports two types of authentication: OAuth and API tokens. You can choose a method using the 'authtype' key to the config dict. The value of this key can be 'oauth' or 'apitoken'; if not given it defaults to 'oauth'.

If an API token is being used, there must be keys for:

• ‘apitoken_key’

• ‘apitoken_secret’

If OAuth is being used, there must also be keys for:

• ‘consumer_key’

• ‘consumer_secret’

and if you have already done the necessary key exchange, then this can also contain:

• ‘access_key’

• ‘access_token’

OAuth setup

The first time you use the OAuth protocol, you’ll need to do some key exchange with Timetric to set up your tokens.

>>> 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 = {‘authtype’:’oauth’, … ‘consumer_key: ‘XXX’, … ‘consumer_secret’: ‘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. >> token = client.get_request_token() >>> import webbrowser >>> webbrowser.open(client.get_authorize_url(token))

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

# You can now re-authorize to use this token: >>> conf.update({‘oauth_key’:access_token.key, … ‘oauth_secret’:access_token.secret}) >>> client = timetric.TimetricClient(conf)

API token setup

>>> import timetric

# Having got your config dict from somewhere: >>> conf = {‘authtype’:’apitoken’, … ‘apitoken_key’: ‘XXX’, .. ‘apitoken-secret’: ‘XXX’}

# you initialize the timetric client: >>> client = timetric.TimetricClient(conf)

Usage

# 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()