def to_classification_object(cls, json):
c = ClassifiedObject()
c.source = 'twitter'
c.text = json['text']
c.created_at = json['created_at']
c.author = json['user']['screen_name']
c.location = json['geo']
return c
def to_classification_object(cls, json):
c = ClassifiedObject()
c.source = 'twitter'
c.text = json['text']
c.created_at = json['created_at']
c.author = json['user']['screen_name']
c.location = json['geo'] or \
{
'longitude' : 18 + random.random(),
'latitude' : 59 + random.random()
}
return c
def to_classification_object(cls, json):
c = ClassifiedObject()
c.source = 'twitter'
c.text = json['text']
c.created_at = json['created_at']
c.author = json['user']['screen_name']
c.location = json['geo'] or \
{
'longitude' : 18 + random.random(),
'latitude' : 59 + random.random()
}
return c
def get(self):
try:
limit = int(self.get_argument('limit', 10))
except ValueError:
raise tornado.web.HTTPError(400)
query = {}
# Search for classified objects exceeding thresholds if supplied
thresholds = self.get_argument('thresholds', None)
if thresholds:
thresholds = simplejson.loads(thresholds)
for tag, threshold in thresholds.iteritems():
query['tags.' + tag] = { '$gte' : threshold }
# Limit to a daterange if supplied
start_time = self.get_argument('start_time', None)
if start_time:
start_time = datetime.fromtimestamp(long(start_time))
query['last_modified'] = {}
query['last_modified']['$gte'] = start_time
end_time = self.get_argument('end_time', None)
if end_time:
end_time = datetime.fromtimestamp(long(end_time))
if 'last_modified' not in query:
query['last_modified'] = {}
query['last_modified']['$lte'] = end_time
results = ClassifiedObject.find(
query=query,
limit=limit,
sort=[("last_modified", pymongo.DESCENDING)]
)
dicts = [ c.to_dict() for c in results ]
json = simplejson.dumps(dicts, default=nosy.util.json_serializer)
self.set_header("Content-Type", "application/json")
self.write(json)
