def run_preprocess(tagged_sent, event_dict, event_id, username=None,
locate=True, features=True):
"""
Function to call the various preprocessing functions.
Inputs
------
tagged_sent : POS tagged sentence. List.
event_dict : dictionary to which the event information should be added.
event_id : ID for the event, which serves as the key in the dictionary.
Should be generated from `sent_split`. String.
username : geonames username. String.
locate : Whether to geolocate an event. Boolean.
features : Whether to extract features from an event. Boolean.
"""
#If geolocate
if locate:
#Locate event and add lat, lon to the dict
lat, lon = preprocess.geolocate(tagged_sent, username)
event_dict[event_id]['lat'] = lat
event_dict[event_id]['lon'] = lon
#If not geolocate just add 'NA' to dict
elif not locate:
event_dict[event_id]['lat'] = 'NA'
event_dict[event_id]['lon'] = 'NA'
#If feature extraction
if features:
#Get the number involved and assign to the dict
num = preprocess.num_involved(tagged_sent)
event_dict[event_id]['number_involved'] = num
#If not just assign 'NA'
elif not features:
event_dict[event_id]['number_involved'] = 'NA'
def test_number_involved(self):
reference = ['28', '18', '28', '6']
output = [preprocess.num_involved(x[2]) for x in self.tag_sentence]
self.assertEqual(reference, output)