def findTree():
ei = EventInterface()
ei.setDB('citybeat')
ei.setCollection('candidate_event_25by25_merged')
events = {}
fid1 = open('labeled_data_cf/181_positive.txt', 'r')
true_events = []
for line in fid1:
t = line.split(',')
id = str(t[0])
label = int(t[1])
if label == 1:
pass
else:
continue
events[id] = label
fid1.close()
words = ['motor']
for id, label in events.items():
event = ei.getEventByID(id)
e = Event(event)
if e.containKeywords(words, 1):
print id
def findTree():
ei = EventInterface()
ei.setDB('citybeat')
ei.setCollection('candidate_event_25by25_merged')
events = {}
fid1 = open('labeled_data_cf/181_positive.txt', 'r')
true_events = []
for line in fid1:
t = line.split(',')
id = str(t[0])
label = int(t[1])
if label == 1:
pass
else:
continue
events[id] = label
fid1.close()
words = ['motor']
for id, label in events.items():
event = ei.getEventByID(id)
e = Event(event)
if e.containKeywords(words, 1):
print id
def main():
ei = EventInterface()
ei.setDB('citybeat')
ei.setCollection('candidate_event_25by25_merged')
events = ei.getAllDocuments()
event = ei.getEventByID('511478c8c2a3754cfe6684a9')
print event['region']
lat = (event['region']['min_lat'] + event['region']['max_lat']) / 2
lon = (event['region']['min_lng'] + event['region']['max_lng']) / 2
fid1 = open('region_cache/25_25.txt', 'r')
for line in fid1:
cor = line.split(' ')
for i in xrange(len(cor)):
cor[i] = float(cor[i])
if float(cor[0]) <= lat and lat <= float(cor[2]) and float(
cor[1]) <= lon and lon <= float(cor[3]):
min_lat = cor[0]
max_lat = cor[2]
min_lng = cor[1]
max_lng = cor[3]
print min_lat, max_lat, min_lng, max_lng
break
fid1.close()
fid2 = open('labeled_data_cf/181_positive.txt', 'r')
labels = {}
for line in fid2:
t = line.split(',')
labels[str(t[0])] = int(t[1])
fid2.close()
pos = 0
tot = 0
for event in events:
region = event['region']
id = str(event['_id'])
if id not in labels.keys():
continue
if (floatEqual(region['min_lat'], min_lat)
and floatEqual(region['max_lat'], max_lat)
and floatEqual(region['min_lng'], min_lng)
and floatEqual(region['max_lng'], max_lng)):
tot += 1
if labels[id] == 1:
pos += 1
print id
print pos
print tot
def main():
ei = EventInterface()
ei.setDB('citybeat')
ei.setCollection('candidate_event_25by25_merged')
events = ei.getAllDocuments()
event = ei.getEventByID('511478c8c2a3754cfe6684a9')
print event['region']
lat = (event['region']['min_lat'] + event['region']['max_lat'])/2
lon = (event['region']['min_lng'] + event['region']['max_lng'])/2
fid1 = open('region_cache/25_25.txt', 'r')
for line in fid1:
cor = line.split(' ')
for i in xrange(len(cor)):
cor[i] = float(cor[i])
if float(cor[0]) <= lat and lat <= float(cor[2]) and float(cor[1]) <= lon and lon <= float(cor[3]):
min_lat = cor[0]
max_lat = cor[2]
min_lng = cor[1]
max_lng = cor[3]
print min_lat, max_lat, min_lng, max_lng
break
fid1.close()
fid2 = open('labeled_data_cf/181_positive.txt', 'r')
labels = {}
for line in fid2:
t = line.split(',')
labels[str(t[0])] = int(t[1])
fid2.close()
pos = 0
tot = 0
for event in events:
region = event['region']
id = str(event['_id'])
if id not in labels.keys():
continue
if (floatEqual(region['min_lat'], min_lat) and floatEqual(region['max_lat'], max_lat)
and floatEqual(region['min_lng'], min_lng) and floatEqual(region['max_lng'], max_lng)):
tot += 1
if labels[id] == 1:
pos += 1
print id
print pos
print tot
