While loop to list the BigML sources created from a date on using the python bindings

list_sources.py

from bigml.api import BigML, FINISHED
api = BigML()
DATE = '2013-10-05T00:25:36.973000'
PAGE_LENGTH = 20 # number of resources to be retrieved in one list call
# q_w: query_string with the query parameters. In this case, creation data and
# maximum number of resources to be returned.
QUERY_STRING = "created__gte=%s" % DATE

# api_function: function that should be used to retrieve the resources. In this
# case we use the list_sources call to retrieve sources. We could use any
# other list call like api.list_datasets, api.list_models...
api_function = api.list_sources;

# complete query string, with status.code to ensure only finished resources are
# retrieved, and limit parameters to control pagination
q_s = 'status.code=%s;limit=%s;%s' % (
      FINISHED, PAGE_LENGTH, QUERY_STRING)

resources = api_function(q_s)
ids = [obj['resource'] for obj in (resources['objects'] or [])]
while (resources['objects'] and
      (resources['meta']['total_count'] > (resources['meta']['offset'] +
       resources['meta']['limit']))):
    offset = resources['meta']['offset'] + PAGE_LENGTH
    # adding offset parameter to query string
    q_s = 'status.code=%s;offset=%s;limit=%s;%s' % (
          FINISHED, offset, PAGE_LENGTH, QUERY_STRING)
    resources = api_function(q_s)
    if resources['objects']:
        ids.extend([obj['resource'] for obj in resources['objects']])

print ids