def handle(self, **options):
"""
Prints out a count of number of tweets by screen_name for occupydenver.
"""
# Get current datetime as a string to append to the file.
# This should allow us to know when it was run and keep from overwriting.
now = datetime.datetime.now().strftime('%Y%m%d%H%M')
# Create a CSV fiile counting tweets by users
f = open('ODhashtag_users_%s.txt' % now, 'wb')
csv_writer = UnicodeWriter(f)
csv_writer.writerow(['Screen Name', 'Num od Tweets'])
tweets = Tweet.objects.filter(tags__name='occupydenver').order_by('twitter_user')
# Django has problems with aggregation across generic relationships
# So we'll have to read it into a dict and count it there.
# https://docs.djangoproject.com/en/dev/ref/contrib/contenttypes/#generic-relations-and-aggregation
tweeters = defaultdict(int)
for tweet in tweets:
tweeters[tweet.twitter_user.screen_name] += 1
for user, count in tweeters.items():
csv_writer.writerow([user.encode('utf-8'), '%s' % count])
def handle(self, **options):
"""
"""
# Get current datetime as a string to append to the file.
# This should allow us to know when it was run and keep from overwriting.
now = datetime.datetime.now().strftime('%Y%m%d%H%M')
# Create a CSV fiile counting tweets by users
f = open('userlocations_%s.csv' % now, 'wb')
writer = UnicodeWriter(f)
writer.writerow(['Name', 'Location', 'Tweet Count'])
user_list = TwitterUser.objects.annotate(tweetcount=Count('tweet'))
for user in user_list:
if user.location:
writer.writerow([user.screen_name, user.location, '%s' % user.tweetcount])
def handle(self, **options):
"""
"""
# Get current datetime as a string to append to the file.
# This should allow us to know when it was run and keep from overwriting.
now = datetime.datetime.now().strftime('%Y%m%d%H%M')
# Create a CSV fiile counting tweets by users
f = open('usergeo_%s.csv' % now, 'wb')
writer = UnicodeWriter(f)
writer.writerow(['Username', 'Tweet', 'DateTweeted', 'Coordinates(lat/long)'])
geotweets = TwitterGeo.objects.all()
for geotweet in geotweets:
tweetdate = geotweet.tweet.created_at.strftime('%Y-%m-%d %H:%M:%S')
location = "%s, %s" % (geotweet.latitude, geotweet.longitude)
writer.writerow([
geotweet.tweet.twitter_user.screen_name,
geotweet.tweet.text,
tweetdate,
location,
])
def handle(self, **options):
"""
This is helps write some basic aggregation data about users and their tweets.
It should accomplish 2 things.
* Save a list of individual users screen_name, location, # of tweets
* Save a list of # of tweets, # of users with those number of tweets.
Sandemous Highschool Football Rules!
"""
# Get current datetime as a string to append to the file.
# This should allow us to know when it was run and keep from overwriting.
now = datetime.datetime.now().strftime("%Y%m%d%H%M")
# Create a CSV fiile counting tweets by users
f = open("hashtagcount_%s.csv" % now, "wb")
writer = UnicodeWriter(f)
writer.writerow(["HashTag", "Count"])
tag_list = Tag.objects.annotate(count=Count("taggit_taggeditem_items")).order_by("-count")
for tag in tag_list:
writer.writerow([tag.name, "%s" % tag.count])
def handle(self, **options):
"""
This is helps write some basic aggregation data about users and their tweets.
It should accomplish 2 things.
* Save a list of individual users screen_name, location, # of tweets
* Save a list of # of tweets, # of users with those number of tweets.
Sandemous Highschool Football Rules!
"""
# Get current datetime as a string to append to the file.
# This should allow us to know when it was run and keep from overwriting.
now = datetime.datetime.now().strftime("%Y%m%d%H%M")
# Create a CSV fiile counting tweets by users
by_user = open("tweetcount_by_user_%s.csv" % now, "wb")
by_user_writer = UnicodeWriter(by_user)
by_user_writer.writerow(["screen_name", "location", "total tweets"])
tweet_counter = {}
users = TwitterUser.objects.annotate(tweetcount=Count("tweet"))
for user in users:
by_user_writer.writerow([user.screen_name, "%s" % user.location, "%s" % user.tweetcount])
if user.tweetcount in tweet_counter: # Doing it this way so I don't have to do another DB query.
tweet_counter[user.tweetcount] += 1 # increment it if it exists
else:
tweet_counter[user.tweetcount] = 1 # init it if it doesn't exist
by_user.close()
# Create a CSV file aggregating users by their number of tweets
total_tweets = open("by_total_tweets_%s.csv" % now, "wb")
total_tweets_writer = UnicodeWriter(total_tweets)
total_tweets_writer.writerow(["Tweet Count", "Number of Users"])
for tweetcount, users in tweet_counter.items():
total_tweets_writer.writerow(["%s" % tweetcount, "%s" % users])
total_tweets.close()