def deliver(self, package_hash, distance_dict, distances_list, truck_to_hub=False):
if self.loaded_package_list:
# Capacity is a constant number of 16 so the while loop counts as O(1)
while self.loaded_package_list:
address1 = self.location
if self.location == 'HUB':
address1 = ' ' + self.location
package_id = self.loaded_package_list.pop(0)
address2 = ' ' + package_hash.get(package_id)[3] + '\n(' + package_hash.get(package_id)[6] + ')'
hours = float(distance_between(address1, address2, distance_dict, distances_list)) / self.speed
current_time = self.time.advance_time(self.time.current_time, hours, 0, 0)
value = package_hash.get(package_id)
value[0] = 'Finished'
value[2] = 'Delivered at ' + current_time.strftime("%H:%M:%S")
package_hash.add(package_id, value)
self.location = address2
self.time.end_time = current_time
if truck_to_hub is True:
address1 = self.location
address2 = ' HUB'
hours = float(distance_between(address1, address2, distance_dict, distances_list)) / self.speed
current_time = self.time.advance_time(self.time.current_time, hours, 0, 0)
self.location = address2
self.time.end_time = current_time
return hours
def on_status(self,tweet):
self.text = ""
self.hashtags = ""
self.favs = 0
self.retweets = 0
self.username = ""
self.followers = 0
if (self.tweetCount < tweetThresh):
if tweet.coordinates:
d = math.ceil(distance.distance_between(tweet.coordinates["coordinates"][1], tweet.coordinates["coordinates"][0], center["lat"], center["long"]))
if d < self.tweetRadius:
# General Information
self.tweetCount += 1
self.text = tweet.text
self.favs = tweet.favorite_count
self.retweets = tweet.retweet_count
# User Data
user = api.get_user(tweet.user.screen_name)
if user:
self.username = user.screen_name
self.followers = user.followers_count
if verbose:
print "Tweet: " + str(self.tweetCount)
print "Text: " + self.text + " (Distance: " + str(d) + " mi)"
print "Fav: " + str(self.favs)
print "Retweets: " + str(self.retweets)
print "Hashtags: " + self.hashtags
print "User: "******"Followers: " + str(self.followers)
print "\n"
# CSV output
label = 1 # used for trainning classfilier
csvFile = 'testData.csv'
if collectTrainingData:
csvFile = 'trainData.csv'
if (self.tweetCount == 0):
with open(csvFile,'wb') as outfile:
writer = csv.writer(outfile,delimiter='|')
writer.writerow((label,self.text.encode('utf-8'),self.followers))
else:
fd = open(csvFile,'a')
writer = csv.writer(fd,delimiter='|')
writer.writerow((label,self.text.encode('utf-8'),self.followers))
fd.close()
else:
print("Done Collecting Tweets!\n")
sys.exit()
def on_status(self, tweet):
# print str(StreamListener.count) + " " + tweet.user.screen_name + "- " + tweet.text + "\n"
if tweet.coordinates:
# tweet coordinates come in longitude, latitude order for some reason
d = math.ceil(distance.distance_between(tweet.coordinates["coordinates"][1], tweet.coordinates["coordinates"][0], center["lat"], center["long"]))
# this makes sure tweets are within 25 miles of center
if d < 10000:
print tweet
print tweet.coordinates
print tweet.text + "(" + str(d) + " mi)"
print ""
def on_status(self, tweet):
if tweet.coordinates:
d = math.ceil(distance_between(
tweet.coordinates["coordinates"][1],
tweet.coordinates["coordinates"][0],
self.center["lat"],
self.center["long"]))
if d < self.distance:
user = self.api.get_user(tweet.user.screen_name)
self.action(tweet, user)
self.count += 1
if self.quantity > 0 and self.count >= self.quantity:
return False
def on_status(self,tweet):
text = ""
hashtags = ""
urls = ""
user_mentions = ""
favs = 0
retweets = 0
username = ""
followers = 0
if (self.tweetCount < self.tweetThresh):
if tweet.coordinates:
d = math.ceil(distance.distance_between(tweet.coordinates["coordinates"][1], tweet.coordinates["coordinates"][0], center["lat"], center["long"]))
if d < 10000:
self.tweetCount += 1
text = tweet.text
favs = tweet.favorite_count
print "Text: " + text + "\n" + "Distance: " + str(d) + " mi" + "\n" + "Fav: " + str(favs) + "\n" + "Retweets: " + str(retweets)
print "\n"
label = 1 # used for trainning classfilier
csvFile = 'testData.csv'
if collectTrainningData:
csvFile = 'trainData.csv'
if (self.tweetCount == 0):
with open(csvFile,'wb') as outfile:
writer = csv.writer(outfile,delimiter='|')
writer.writerow((label,text.encode('utf-8'),followers))
else:
fd = open(csvFile,'a')
writer = csv.writer(fd,delimiter='|')
writer.writerow((label,text.encode('utf-8'),followers))
fd.close()
else:
print("Done Collecting Tweets!\n")
sys.exit()
