def getGenericSearchUsers(tag,num,limit,projname,styp="tag",location='',dist=''):
tweeters={}
tags={}
if styp=='tag':
print 'Looking for twitterers and tags in context of hashtag',tag
tweeters,tags,tweets=newt.twSearchHashtag(tweeters,tags,num, tag,exclRT=False)
elif styp=='locterm':
tweeters,tags,tweets=newt.twSearchNear(tweeters,tags,num, location, tag, dist=float(dist),exclRT=False)
else: #styp=='term'
print 'Looking for twitterers and tags in context of searchterm',tag
tweeters,tags,tweets=newt.twSearchTerm(tweeters,tags,num, tag,exclRT=False)
#newt.report_hashtagsearch('searchterm-'+qtag,tweeters,tags)
fo=open(projname+'/tweets.txt','wb+')
writer=csv.writer(fo)
for tweet in tweets:
writer.writerow([tweet['from_user_id'],tweet['from_user'],tweet['text'].encode('ascii','ignore'),tweet['to_user_id'],tweet['created_at']])
fo.close()
fo=open(projname+'/tweeps.txt','wb+')
writer=csv.writer(fo)
for tweeter in tweeters:
writer.writerow([tweeter])
fo.close()
fo=open(projname+'/cotags.txt','wb+')
writer=csv.writer(fo)
for cotag in tags:
writer.writerow([cotag])
fo.close()
for t in sorted(tags, key=tags.get, reverse=True):
print t,tags[t]
alltweeps=[]
tw=[]
tws={}
for i in tweeters:
alltweeps.append(i)
tws[i]=tweeters[i]['count']
if tws[i]>=limit:
tw.append(i)
print alltweeps
#this is a fudge; return alltweeps as well tw? Also generalis w/ getSourceList?
return tw
network = True
followerView = False
opml = False
api = newt.getTwitterAPI()
tweeters = {}
tags = {}
print 'Looking for twitterers and tags in context of hashtag (excluding oldstyle RT messages)', tag
tweeters, tags, tweets = newt.twSearchHashtag(tweeters,
tags,
num,
tag,
exclRT=True)
fo = newt.openTimestampedFile("hashtag-" + tag, 'tweets.txt')
writer = csv.writer(fo)
for tweet in tweets:
writer.writerow([
tweet['from_user_id'], tweet['from_user'],
tweet['text'].encode('ascii', 'ignore'), tweet['to_user_id'],
tweet['created_at']
])
fo.close()
newt.report_hashtagsearch('hashtag-' + tag, tweeters, tags)
def getGenericSearchUsers(tag,
num,
limit,
projname,
styp="tag",
location='',
dist=''):
tweeters = {}
tags = {}
if styp == 'tag':
print 'Looking for twitterers and tags in context of hashtag', tag
tweeters, tags, tweets = newt.twSearchHashtag(tweeters,
tags,
num,
tag,
exclRT=False)
elif styp == 'locterm':
tweeters, tags, tweets = newt.twSearchNear(tweeters,
tags,
num,
location,
tag,
dist=float(dist),
exclRT=False)
else: #styp=='term'
print 'Looking for twitterers and tags in context of searchterm', tag
tweeters, tags, tweets = newt.twSearchTerm(tweeters,
tags,
num,
tag,
exclRT=False)
#newt.report_hashtagsearch('searchterm-'+qtag,tweeters,tags)
fo = open(projname + '/tweets.txt', 'wb+')
writer = csv.writer(fo)
for tweet in tweets:
writer.writerow([
tweet['from_user_id'], tweet['from_user'],
tweet['text'].encode('ascii', 'ignore'), tweet['to_user_id'],
tweet['created_at']
])
fo.close()
fo = open(projname + '/tweeps.txt', 'wb+')
writer = csv.writer(fo)
for tweeter in tweeters:
writer.writerow([tweeter])
fo.close()
fo = open(projname + '/cotags.txt', 'wb+')
writer = csv.writer(fo)
for cotag in tags:
writer.writerow([cotag])
fo.close()
for t in sorted(tags, key=tags.get, reverse=True):
print t, tags[t]
alltweeps = []
tw = []
tws = {}
for i in tweeters:
alltweeps.append(i)
tws[i] = tweeters[i]['count']
if tws[i] >= limit:
tw.append(i)
print alltweeps
#this is a fudge; return alltweeps as well tw? Also generalis w/ getSourceList?
return tw
