It's on pip. Just pip install ureactme and it's done.
from ureactme import Client
from ureactme.models import Metric, User, Event
c = Client("put your token here")
# Get the list of Metrics sent by users:
metrics = c.get_object_list(Metric)
for m in metrics:
print m.id
# Get the list of Users, and print his ID, the data and the auto-collected data
users = c.get_object_list(User)
for u in users:
print u.id, u.data, u.auto_data
# Get the list of events of a certain type sent by the user in a given day
u = User(id="user_id_test")
for e in u.get_events('redbutton_click', '2016-05-18'):
print e.created_at, e.value, e.data
# Get an user by it's ID
u = User.get_by_id("[email protected]")
# Send an event
c.send_event("suggestion_click", "user_123", 10)
# Get detailed statistics for a given date range, for all users and metrics
print list(c.get_statistics(['2015-01-01', '2017-01-01']))
[{u'avg_value': 15.0,
u'count': 1,
u'day': u'2016-05-19',
u'device_user': u'user1',
u'max_value': 15.0,
u'metric': u'login',
u'min_value': 0.0,
u'sum_value': 15.0},
{u'avg_value': 15.0,
u'count': 1,
u'day': u'2016-05-19',
u'device_user': u'user2',
u'max_value': 15.0,
u'metric': u'login',
u'min_value': 0.0,
u'sum_value': 15.0}]
# Get detailed user statistics (regardless of the metric)
print list(c.get_statistics(['2015-01-01', '2017-01-01'], fields=["user"]))
[{u'avg_value': 15.0,
u'count': 1,
u'device_user': u'user1',
u'max_value': 15.0,
u'min_value': 0.0,
u'sum_value': 15.0},
{u'avg_value': 15.0,
u'count': 2,
u'device_user': u'user2',
u'max_value': 15.0,
u'min_value': 0.0,
u'sum_value': 30.0}]
# Get detailed metric statistics per day (regardless of the user)
print list(c.get_statistics(['2015-01-01', '2017-01-01'], fields=["metric", "day"]))
[{u'avg_value': 15.0,
u'count': 3,
u'day': u'2016-05-19',
u'max_value': 15.0,
u'metric': u'login',
u'min_value': 0.0,
u'sum_value': 45.0},
{u'avg_value': 13.75,
u'count': 4,
u'day': u'2016-05-19',
u'max_value': 15.0,
u'metric': u'suggestion_click',
u'min_value': 0.0,
u'sum_value': 55.0}]