def iterateUserDocuments(fileName):
dataForAggregation = defaultdict(Vector)
textToIdMap = defaultdict(int)
for tweet in FileIO.iterateJsonFromFile(fileName):
textVector = TwitterCrowdsSpecificMethods.convertTweetJSONToMessage(tweet, **default_experts_twitter_stream_settings).vector
textIdVector = Vector()
for phrase in textVector:
if phrase not in textToIdMap: textToIdMap[phrase]=str(len(textToIdMap))
textIdVector[textToIdMap[phrase]]=textVector[phrase]
dataForAggregation[tweet['user']['screen_name'].lower()]+=textIdVector
for k, v in dataForAggregation.iteritems(): yield k, v
def iterateTweetUsersAfterCombiningTweets(fileName, **stream_settings):
dataForAggregation = defaultdict(Vector)
textToIdMap = defaultdict(int)
for tweet in TweetFiles.iterateTweetsFromGzip(fileName):
textVector = TwitterCrowdsSpecificMethods.convertTweetJSONToMessage(tweet, **stream_settings).vector
textIdVector = Vector()
for phrase in textVector:
if phrase not in textToIdMap: textToIdMap[phrase]=str(len(textToIdMap))
textIdVector[textToIdMap[phrase]]=textVector[phrase]
dataForAggregation[tweet['user']['screen_name'].lower()]+=textIdVector
for k, v in dataForAggregation.iteritems(): yield k, v
def _iterateUserDocuments(self):
dataForAggregation = defaultdict(Vector)
textToIdMap = defaultdict(int)
for tweet in TweetFiles.iterateTweetsFromGzip(self.rawDataFileName):
textVector = TwitterCrowdsSpecificMethods.convertTweetJSONToMessage(tweet, **self.stream_settings).vector
textIdVector = Vector()
for phrase in textVector:
if phrase not in textToIdMap:
textToIdMap[phrase] = str(len(textToIdMap))
textIdVector[textToIdMap[phrase]] = textVector[phrase]
dataForAggregation[tweet["user"]["screen_name"].lower()] += textIdVector
for k, v in dataForAggregation.iteritems():
yield k, v
def iterateUserDocuments(fileName):
dataForAggregation = defaultdict(Vector)
textToIdMap = defaultdict(int)
for tweet in FileIO.iterateJsonFromFile(fileName):
textVector = TwitterCrowdsSpecificMethods.convertTweetJSONToMessage(
tweet, **default_experts_twitter_stream_settings).vector
textIdVector = Vector()
for phrase in textVector:
if phrase not in textToIdMap:
textToIdMap[phrase] = str(len(textToIdMap))
textIdVector[textToIdMap[phrase]] = textVector[phrase]
dataForAggregation[tweet['user']
['screen_name'].lower()] += textIdVector
for k, v in dataForAggregation.iteritems():
yield k, v
def iterateTweetUsersAfterCombiningTweets(fileName, **stream_settings):
dataForAggregation = defaultdict(Vector)
textToIdMap = defaultdict(int)
for tweet in TweetFiles.iterateTweetsFromGzip(fileName):
textVector = TwitterCrowdsSpecificMethods.convertTweetJSONToMessage(
tweet, **stream_settings).vector
textIdVector = Vector()
for phrase in textVector:
if phrase not in textToIdMap:
textToIdMap[phrase] = str(len(textToIdMap))
textIdVector[textToIdMap[phrase]] = textVector[phrase]
dataForAggregation[tweet['user']
['screen_name'].lower()] += textIdVector
for k, v in dataForAggregation.iteritems():
yield k, v
def iteratePhrases():
for tweet in TweetFiles.iterateTweetsFromGzip('/mnt/chevron/kykamath/data/twitter/tweets_by_trends/2011_2_6.gz'):
message = TwitterCrowdsSpecificMethods.convertTweetJSONToMessage(tweet, **settings)
if message.vector:
for phrase in message.vector:
if phrase!='': yield (phrase, GeneralMethods.approximateEpoch(GeneralMethods.getEpochFromDateTimeObject(message.timeStamp), 60))
def test_convertTweetJSONToMessage(self):
message = TwitterCrowdsSpecificMethods.convertTweetJSONToMessage(self.tweet, **twitter_stream_settings)
self.assertEqual({'project': 1, 'cluster': 1, 'streams': 1, 'highdimensional': 1}, message.vector)
