from iri_tweet import models, utils

from sqlalchemy.orm import sessionmaker

import sqlite3

import twitter

def get_option():

    parser = OptionParser()

    parser.add_option("-l", "--log", dest="logfile",

                      help="log to file", metavar="LOG", default="stderr")

    parser.add_option("-v", dest="verbose", action="count",

                      help="verbose", metavar="VERBOSE", default=0)

    parser.add_option("-q", dest="quiet", action="count",

                      help="quiet", metavar="QUIET", default=0)

    parser.add_option("-r", "--request", dest="request",

                      help="twitter request", metavar="REQUEST", default=0)

    parser.add_option("-Q", dest="query",

                      help="query", metavar="QUERY")

    parser.add_option("-P", dest="rpp", metavar="RPP", default="50",

                      help="Result per page", metavar="RPP")

    #add request token

    #add 

    return parser.parse_args()

if __name__ == "__main__":

    (options, args) = get_option()

    twitter = twitter.Twitter(domain="search.twitter.com")

    engine, metadata = models.setup_database('sqlite:///'+args[0], echo=((options.verbose-options.quiet)>0))

    Session = sessionmaker(bind=engine)

    session = Session()

    try:

        #conn.row_factory = sqlite3.Row

        #curs = conn.cursor()

        #curs.execute("create table if not exists tweet_tweet (json);")

        #conn.commit()

        results = None        

        page = 1

        while page <= int(1500/int(options.rpp)) and  ( results is None  or len(results) > 0):

            results = twitter. search(q=options.query, rpp=options.rpp, page=page)

            for tweet in results["results"]:

                print tweet

                processor = utils.TwitterProcessor(tweet, None, session)

                processor.process()

                session.flush()

            page += 1

            session.commit()

    finally:

        session.close()