Beispiel #1
0
def fetchData(url, river, stream, aggregate, params=None):
  client = RiverViewClient(url)
  r = client.river(river)
  s = r.stream(stream)

  cursor = s.data(**params)
  type = cursor.get("type")
  
  # if params is None and aggregate is None:
  #   params = {'limit': DEFAULT_DATA_LIMIT}
  # targetUrl = "%s/%s/%s/data.json" % (url, river, stream)
  # if aggregate:
  #   targetUrl += "?aggregate=%s" % aggregate
  # print "Fetching data from %s..." % targetUrl
  # response = requests.get(targetUrl, params=params)
  # if response.status_code == 404:
  #   raise Exception('The River or stream provided does not exist:\n%s'
  #                   % targetUrl)
  # data = response.json()
  if not type == 'scalar' and aggregate is None:
    raise Exception('Cannot process Rivers unless they are scalar.\n%s does '
                    'not return scalar data.' % river)
  return cursor
Beispiel #2
0
from datetime import datetime, date, timedelta

from riverpy import RiverViewClient


def kwargsToString(**kwargs):
  out = []
  for key, value in kwargs.iteritems():
    out.append("%s:%s" % (key, value))
  return "[%s]" % (", ".join(out))


# url = "http://localhost:8085/"
url = None
client = RiverViewClient(url=url, debug=True)



r = client.river("mn-traffic-sensors")
for stream in r.streams():
  print stream.meta()





class RiverViewHarness(object):
  
  def __init__(self, client):
    self._client = client