)

    return g


if __name__ == "__main__":

    # Your query

    Q = " ".join(sys.argv[1])

    # How many batches of data to grab for the search results

    MAX_BATCHES = 2

    # How many search results per page

    COUNT = 100

    # Get some search results for a query
    t = oauth_login()
    search_results = search(t, q=Q, max_batches=MAX_BATCHES, count=COUNT)
    g = create_rt_graph(search_results)

    # Print out some stats

    print >>sys.stderr, "Number nodes:", g.number_of_nodes()
    print >>sys.stderr, "Num edges:", g.number_of_edges()
    print >>sys.stderr, "Num connected components:", len(nx.connected_components(g.to_undirected()))
    print >>sys.stderr, "Node degrees:", sorted(nx.degree(g))
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
if TIMELINE_NAME == 'public':
    MAX_PAGES = 1

# Authentication is needed for harvesting home timelines.
# Don't forget to add keyword parameters to the oauth_login call below
# if you don't have a token file on disk.

t = oauth_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
# -*- coding: utf-8 -*-

import sys
import twitter
import webbrowser
from recipe__oauth_login import oauth_login

# Query terms

Q = ','.join(sys.argv[1:])
print >> sys.stderr, 'Filtering the public timeline for track="%s"' % (Q,)

t = oauth_login() # Returns an instance of twitter.Twitter
twitter_stream = twitter.TwitterStream(auth=t.auth) # Reference the self.auth parameter

# See https://dev.twitter.com/docs/streaming-apis
stream = twitter_stream.statuses.filter(track=Q)

# For illustrative purposes, when all else fails, search for Justin Bieber
# and something is sure to turn up (at least, on Twitter)

for tweet in stream:
    print tweet['text']