Python twitter__login.login函数代码示例

 def __init__(self):
     self.counter = 0
     self.fprefix = ""
     self.output  = None
     self.twitter_rest = twitter__login.login()
     self.twitter_stream = twitter.TwitterStream(auth=twitter.oauth.OAuth(access_token, access_token_secret,consumer_key, consumer_secret))
     self.fname = None
     self.ufname = None

 def __init__(self):
     self.listOfFiles = None
     self.listOfUsers = []
     self.listOfUserList = [] #(id, title, des)
     self.twitter_rest = twitter__login.login()
     self.listOfListsMetaInfo = []
     self.aspect = None
     self.u = Utils.Utils()
     pass

    def get_stream(self,TIMELINE_NAME,MAX_PAGES):
        USER = None
        
        KW = {  # For the Twitter API call
            'count': 200,
            'trim_user': 'true',
            'include_rts' : 'true',
            'since_id' : 1,
        }
        
        if TIMELINE_NAME == 'user':
            USER = sys.argv[3]
            KW['screen_name'] = USER
        if TIMELINE_NAME == 'home' and MAX_PAGES > 4:
            MAX_PAGES = 4
        if TIMELINE_NAME == 'user' and MAX_PAGES > 16:
            MAX_PAGES = 16
            
        t = login()
         
         
        client = MongoClient('localhost',27017)

        db = client.test_database
        posts = db.tw_data #Collection name
        posts.drop()
        
        api_call = getattr(t.statuses, TIMELINE_NAME + '_timeline')
        tweets = makeTwitterRequest(api_call, **KW)
        for tweet in tweets:
            if(tweet['lang']=='en'):
                #print tweet['text']
                post_id = posts.insert(tweet)
                #print '# post id'
                #print post_id
        #print 'Fetched %i tweets' % len(tweets)
        
        page_num = 1
        while page_num < MAX_PAGES and len(tweets) > 0:
        
            # Necessary for traversing the timeline in Twitter's v1.1 API.
            # See https://dev.twitter.com/docs/working-with-timelines
            KW['max_id'] = getNextQueryMaxIdParam(tweets)
        
            api_call = getattr(t.statuses, TIMELINE_NAME + '_timeline')
            tweets = makeTwitterRequest(api_call, **KW)
            #print json.dumps(tweets,indent = 3)
            for tweet in tweets:
                if(tweet['lang']=='en'):
                    #print tweet['text']
                    post_id = posts.insert(tweet)
                    #print '# post id'
                    #print post_id
                
            #print 'Fetched %i tweets' % len(tweets)
            page_num += 1

def load_followers():
	#for each user extracted getusers method , load followers from twitter 
	t=twitter__login.login()
	in_file=open('users.txt','rb')
	count=1
	count2=1
	#twitter only allows 15 users's followers upload once every 30 min ,so this method is run a complete with adjustments in the count variable
	for row in in_file:
		name=row.strip()
		if (count>=47):
			followers=t.followers.ids(screen_name=name)
			#for every user obtain list of followers an store in follower text file (use user name for identifcation)
        	out_file=name+".txt"
        	out=open(out_file,'w')
        	pickle.dump(followers['ids'],out)
        	out.close()
        	count2+=1
		count+=1
	#tried adding a time variable to sleep after every 15 users, worked sometimes
	if(count2%15==0):
		time.sleep(180)
		count2=1

# -*- coding: utf-8 -*-

import sys
import json
import redis
from twitter__login import login

# A makeTwitterRequest call through to the /users/lookup 
# resource, which accepts a comma separated list of up 
# to 100 screen names. Details are fairly uninteresting. 
# See also http://dev.twitter.com/doc/get/users/lookup
from twitter__util import getUserInfo

if __name__ == "__main__":
    screen_names = sys.argv[1:]

    t = login()
    r = redis.Redis()

    print json.dumps(
            getUserInfo(t, r, screen_names=screen_names),
            indent=4
          )

def auth_to_twitter():
    
    return twitter__login.login()

KW = {  # For the Twitter API call
    'count': 200,
    'trim_user': 'true',
    'include_rts' : 'true',
    'since_id' : 1,
    }

if TIMELINE_NAME == 'user':
    USER = sys.argv[3]
    KW['screen_name'] = USER
if TIMELINE_NAME == 'home' and MAX_PAGES > 4:
    MAX_PAGES = 4
if TIMELINE_NAME == 'user' and MAX_PAGES > 16:
    MAX_PAGES = 16

t = login()

# Establish a connection to a CouchDB database
server = couchdb.Server('http://localhost:5984')
DB = 'tweets-%s-timeline' % (TIMELINE_NAME, )

if USER:
    DB = '%s-%s' % (DB, USER)

try:
    db = server.create(DB)
except couchdb.http.PreconditionFailed, e:

    # Already exists, so append to it, keeping in mind that duplicates could occur

    db = server[DB]

def GetIds():
	#obtain the ids for every uses, these are to be used to create nodes and edges that will be used to 
	t=twitter__login.login()
	file_1=open('users.txt','rb')
	file_2=open('user_id.txt','w')

 def login(self): # we make no aport here
     return login()

        return True # Don't kill the stream
    
    def on_stall_warning(self, status):
        print "Got Stall Warning message",str(status)
        return True # Don't kill the stream
        
try:
    # my config is hard coded
    fn = os.path.join(os.environ['HOME'],'conf', 'twitter_mining.cfg')
    config = ConfigParser.RawConfigParser()
    config.read(fn)

    while True:
        try:
            # oauth dance
            auth = login(config)
            # Create a streaming API and set a timeout value of 1 minute
            streaming_api = tweepy.streaming.Stream(auth, CustomStreamListener(), timeout=60, secure=True)
            Q = sys.argv[2:] 
            print "Track parameters",str(Q)
            streaming_api.filter(follow=None, track=Q)
        except Exception, ex:
            err =  "'%s' '%s' Error '%s' '%s'"%(dbname, str(datetime.now()), str(ex), get_trace())
            print err
            file('errors.txt','a').write(err+'\n')
        finally:
            print "disconnecting..."
            streaming_api.disconnect()
            # time.sleep(60)
except KeyboardInterrupt:
    print "got keyboardinterrupt"

def getFile(fname):
    try:
        f = open(fname)       
        d = json.load(f)
        f.close()
        return d
    except:
        return None

def saveFile(d):
    print "Saving!"
    f = open(d["fname"],'w')    
    json.dump(d,f)
    f.close()
            
t = twitter__login.login()
screen_name = 'AdventureSauce1'
response = t.users.show(screen_name=screen_name)
user_id = response['id']

dname = screen_name+'_net.json'

d = getFile(dname)
if d is None:
    d = dict()
    d["fname"] = dname

specialcases = []
crawlUser(user_id,d,t)
handleSpecialCases(t,d,specialcases)
saveFile(d)