def __init__(self, daemon_number):
super(KeywordsTweetDaemon, self).__init__()
if daemon_number == 0:
raise ValueError("daemon_number must be 1 or higher")
self._daemon_number = daemon_number
self._countstore = CountStore()
self._tweetstore = TweetStore()
def cache_top_tweets():
#initialize stores
ts = int(time.time())
countstore = CountStore()
tweetstore = TweetStore()
cache = RedisCache(namespace=settings.TopTweetsCache["namespace"])
countries = Geo.country_codes()
top_tweets_cache = {}
for country in countries:
print "*************"
print country
print "*************"
top_tweets = {}
segmentation = "C" + country
for entitytype in ["hashtag", "user_mention"]:
top_tweets[entitytype] = []
top_entities = countstore.get_top(entitytype,
segmentation,
settings.Aggregation['top_entities'],
ts)
for entity, count in top_entities:
data = {"text":entity, "count":count, "tweets":[]}
tweets = top_tweets_cache.get((entitytype, entity, ts))
if not tweets:
print "fetching tweets for " + str((entitytype, entity, ts))
segmentation = ":".join([entitytype, entity])
tweets = countstore.get_top("tweet",
segmentation,
settings.Aggregation['top_tweets'],
ts)
tweets = map(lambda x: (tweetstore.get(x[0]), x[1]), tweets)
top_tweets_cache[(entitytype, entity, ts)] = tweets
for tweet, count in tweets:
data["tweets"].append({"tweet":tweet.data, "count": count})
top_tweets[entitytype].append(data)
cache.put(segmentation, top_tweets)
class KeywordsTweetDaemon(object):
def __init__(self, daemon_number):
super(KeywordsTweetDaemon, self).__init__()
if daemon_number == 0:
raise ValueError("daemon_number must be 1 or higher")
self._daemon_number = daemon_number
self._countstore = CountStore()
self._tweetstore = TweetStore()
def _get_streaming_args(self):
self._credentials = settings.Twitter['accounts'][self._daemon_number]
segs = ["C" + code for code in Geo.country_codes()]
#We're only allowed to track 400 keywords
lock = FileLock('/tmp/trackwords')
with lock:
all_hashtags = self._get_all_entities("hashtag", segs)
all_usermentions = self._get_all_entities("user_mention", segs)
used_hashtags, used_usermentions = map(set, self._get_used_trackwords())
hashtags = [ht for ht in all_hashtags if not ht in used_hashtags][:200]
usermentions = [um for um in all_usermentions if not um in used_usermentions][:200]
self._set_used_trackwords(hashtags, usermentions)
self._payload = {'track': hashtags + usermentions}
return self._credentials, self._payload
def _on_tweet_callback(self, tweet):
self._tweetstore.put(tweet)
tweet_id = tweet.original_id
for entity_type, entities in tweet.entities.items():
for entity in entities:
segmentation = ":".join([entity_type, entity])
self._countstore.put(tweet_id, "tweet", segmentation)
def _get_all_entities(self, entity_type, segmentations):
fetch = settings.Aggregation["top_entities"]
get_top_entities_for_seg = lambda s: set(self._countstore.get_top(
entity_type=entity_type,
segmentation=s,
num_to_get=fetch).keys())
top_entities = map(get_top_entities_for_seg, segmentations)
return list(reduce(lambda x, y : x | y, top_entities))
def _payload_is_empty(self):
return not self._payload or not self._payload['track']
def _get_used_trackwords(self):
used_hashtags, used_usermentions = [], []
last_index = len(settings.Twitter["accounts"])
indices = range(1, last_index)
cache = RedisCache(namespace=settings.TrackwordCache["namespace"])
for idx in indices:
if idx == self._daemon_number:
continue
hashtag_key = "streamer%s:hashtags" % idx
usermention_key = "streamer%s:usermentions" % idx
hashtags = cache.get(hashtag_key) or []
used_hashtags += hashtags
usermentions = cache.get(usermention_key) or []
used_usermentions += usermentions
return used_hashtags, used_usermentions
def _set_used_trackwords(self, hashtags, usermentions):
hashtag_key = "streamer%s:hashtags" % self._daemon_number
usermention_key = "streamer%s:usermentions" % self._daemon_number
cache = RedisCache(namespace=settings.TrackwordCache["namespace"])
cache.put(hashtag_key, hashtags)
cache.put(usermention_key, usermentions)
def _reset_used_trackwords(self):
last_index = len(settings.Twitter["accounts"])
indices = range(1, last_index)
for idx in indices:
hashtag_key = "streamer%s:hashtags" % idx
usermention_key = "streamer%s:usermentions" % idx
cache = RedisCache(namespace=settings.TrackwordCache["namespace"])
cache.delete(hashtag_key)
cache.delete(usermention_key)
def _filter_track(self, words):
return [utf8(w[0]) for w in words if utf8(w[0])[:60] == utf8(w[0])]
