def __init__(self, debug=False):
self.tl_responder = TimeLineReply()
self.reply_responder = Reply()
self.twitter = Twitter()
self.db = redis.db('twitter')
if not self.db.exists('latest_tl_replied'):
self.db.set('latest_tl_replied', '(;´Д`)')
self.debug = debug
class TwitterResponder(object):
def __init__(self, debug=False):
self.tl_responder = TimeLineReply()
self.reply_responder = Reply()
self.twitter = Twitter()
self.db = redis.db('twitter')
if not self.db.exists('latest_tl_replied'):
self.db.set('latest_tl_replied', '(;´Д`)')
self.debug = debug
@staticmethod
def is_duplicate_launch():
result = misc.command('pgrep -fl python|grep "atango.py -j twitter_respond"', True)
return bool(result[1].splitlines())
def respond(self, instance, tweet, tl=False):
response = instance.respond(tweet)
if response:
self.twitter.post(response['text'], response['id'], response.get('media[]'),
debug=self.debug)
if not self.debug:
self.twitter.update_latest_replied_id(response['id'])
if tl:
self.db.set('latest_tl_replied', response['text'].split(' ')[0])
def is_valid_tweet(self, text):
if text.startswith('@sw_words'):
return True
return not ('@' in text or '#' in text or 'RT' in text or 'http' in text)
def run(self):
if self.is_duplicate_launch():
logger.debug('TwitterResponder is already launched')
return -1
last_time = time.time()
for tweet in self.twitter.stream_filter():
if 'text' in tweet:
if tweet['text'].startswith('@sw_words'):
self.respond(self.reply_responder, tweet)
elif (np.random.randint(100) < RESPONDING_PROBABILITY and
self.is_valid_tweet(tweet['text']) and
self.db.get('latest_tl_replied') != tweet['user']['screen_name']):
self.respond(self.tl_responder, tweet, tl=True)
if time.time() - last_time > TWO_MINUTES:
mentions = self.twitter.api.statuses.mentions_timeline(count=200)
for mention in mentions[::-1]:
self.respond(self.reply_responder, mention)
last_time = time.time()
class TwitterResponder(object):
def __init__(self, debug=False):
self.tl_responder = TimeLineReply()
self.reply_responder = Reply()
self.twitter = Twitter()
self.db = redis.db("twitter")
if not self.db.exists("latest_tl_replied"):
self.db.set("latest_tl_replied", "(;´Д`)")
self.debug = debug
@staticmethod
def is_duplicate_launch():
result = misc.command('pgrep -fl python|grep "atango.py -j twitter_respond"', True)
return bool(result[1].splitlines())
def respond(self, instance, tweet, tl=False):
response = instance.respond(tweet)
if response:
self.twitter.post(response["text"], response["id"], response.get("media[]"), debug=self.debug)
if not self.debug:
self.twitter.update_latest_replied_id(response["id"])
if tl:
self.db.set("latest_tl_replied", response["text"].split(" ")[0])
def is_valid_tweet(self, text):
if text.startswith("@sw_words"):
return True
return not ("@" in text or "#" in text or "RT" in text or "http" in text)
def run(self):
if self.is_duplicate_launch():
logger.debug("TwitterResponder is already launched")
return -1
last_time = time.time()
for tweet in self.twitter.stream_api.user():
if "text" in tweet:
if tweet["text"].startswith("@sw_words"):
self.respond(self.reply_responder, tweet)
elif (
np.random.randint(100) < RESPONDING_PROBABILITY
and self.is_valid_tweet(tweet["text"])
and self.db.get("latest_tl_replied") != tweet["user"]["screen_name"]
):
self.respond(self.tl_responder, tweet, tl=True)
if time.time() - last_time > TWO_MINUTES:
mentions = self.twitter.api.statuses.mentions_timeline(count=200)
for mention in mentions[::-1]:
self.respond(self.reply_responder, mention)
last_time = time.time()
def __init__(self, debug=False):
self.tl_responder = TimeLineReply()
self.reply_responder = Reply()
self.twitter = Twitter()
self.db = redis.db("twitter")
if not self.db.exists("latest_tl_replied"):
self.db.set("latest_tl_replied", "(;´Д`)")
self.debug = debug
def twitter_search(request):
query = request.GET.get('query', None)
print 'Query: %s' % query
tweets = None
if query:
t = Twitter()
result = t.search(query)
tweets = result['results']
data = {
'title': 'My Title',
'query': query,
'tweets': tweets
}
return TemplateResponse(request, 'twitter/search.html', data)
def __init__(self, verbose=False, debug=False):
self.twitter = Twitter()
self.verbose = verbose
self.debug = debug
class Atango(App):
def __init__(self, verbose=False, debug=False):
self.twitter = Twitter()
self.verbose = verbose
self.debug = debug
def run(self, job):
self.setup_logger(job)
if job == 'wordmap':
from job.wordmap import WordMap
wm = WordMap()
(text, image) = self.execute(wm.run, hour=1)
self.twitter.post(text, image=image, debug=self.debug)
elif job == 'food':
from job.clause_extractor import FoodExtractor
e = FoodExtractor()
self.twitter.post(self.execute(e.run, 24), debug=self.debug)
elif job == 'okazu':
from job.clause_extractor import OkazuExtractor
e = OkazuExtractor()
self.twitter.post(self.execute(e.run, 24), debug=self.debug)
elif job == 'url':
from job.popular_url import PopularUrl
pop_url = PopularUrl(debug=self.debug)
for (i, message) in enumerate(self.execute(pop_url.run, 2), start=1):
self.twitter.post(message, debug=self.debug)
if i >= 3:
break
elif job == 'ome':
from job.ome import Ome
ome = Ome()
for message in self.execute(ome.run, 20):
self.twitter.post(message, debug=self.debug)
elif job == 'summarize':
from job.popular_post import PopularPost
pp = PopularPost()
result = self.execute(pp.run)
self.twitter.post(result, debug=self.debug)
elif job == 'markov':
from job.markov import MarkovTweet
mt = MarkovTweet()
result = self.execute(mt.run, 60)
self.twitter.post(result, debug=self.debug)
elif job == 'twitter_respond':
from job.twitter_respond import TwitterResponder
crawler = TwitterResponder(debug=self.debug)
crawler.run()
elif job == 'elasticsearch_update':
from job.elasticsearch_update import ElasticSearchUpdate
updater = ElasticSearchUpdate()
updater.run()
elif job == 'haiku':
from lib import file_io, misc
haiku_list = file_io.read('haiku.txt', data=True)
haiku = misc.choice(haiku_list) + ' #くわ川柳'
self.twitter.post(haiku, debug=self.debug)
elif job == '575':
from job.n575 import Senryu
s = Senryu()
result = self.execute(s.run)
self.twitter.post(result, debug=self.debug)
elif job == 'dialogue':
from job.reply import Reply
reply = Reply()
tweet = {'id': 1 << 128, 'user': {'id': 0, 'name': 'まんこ', 'screen_name': 'manko'},
'created_at': '2015-03-09', 'source': 'm'}
while True:
tweet['text'] = input()
print(reply.respond(tweet))
elif job == 'friends':
from job.friends import TwitterFriendsUpdater
tfu = TwitterFriendsUpdater()
tfu.run()
else:
raise ValueError('"%s" is not implemented yet' % job)
class Atango(App):
def __init__(self, verbose=False, debug=False):
self.twitter = Twitter()
self.verbose = verbose
self.debug = debug
def run(self, job):
self.setup_logger(job)
if job == 'wordcount':
from job.wordcount.wordcount import WordCount
up_flickr = not self.debug
wc = WordCount(plot_wordmap=True, up_flickr=up_flickr)
self.twitter.post(self.execute(wc.run, hour=1), debug=self.debug)
elif job == 'food':
from job.clause_extractor import FoodExtractor
e = FoodExtractor()
self.twitter.post(self.execute(e.run, 24), debug=self.debug)
elif job == 'okazu':
from job.clause_extractor import OkazuExtractor
e = OkazuExtractor()
self.twitter.post(self.execute(e.run, 24), debug=self.debug)
elif job == 'url':
from job.popular_url import PopularUrl
pop_url = PopularUrl(debug=self.debug)
for (i, message) in enumerate(self.execute(pop_url.run, 2), start=1):
self.twitter.post(message, debug=self.debug)
if i >= 3:
break
elif job == 'ome':
from job.ome import Ome
ome = Ome()
for message in self.execute(ome.run, 20):
self.twitter.post(message, debug=self.debug)
elif job == 'summarize':
from job.popular_post import PopularPost
pp = PopularPost()
result = self.execute(pp.run)
self.twitter.post(result, debug=self.debug)
elif job == 'markov':
from job.markov import MarkovTweet
mt = MarkovTweet()
result = self.execute(mt.run, 60)
self.twitter.post(result, debug=self.debug)
elif job == 'twitter_respond':
from job.twitter_respond import TwitterResponder
crawler = TwitterResponder(debug=self.debug)
crawler.run()
elif job == 'elasticsearch_update':
from elasticsearch_update import ElasticSearchUpdate
updater = ElasticSearchUpdate()
updater.run()
elif job == 'cputemp':
from job.cputemp import CpuTemperatureChecker
temp_checker = CpuTemperatureChecker()
message = temp_checker.run()
if message:
self.twitter.post(message, debug=self.debug)
elif job == 'dialogue':
from job.reply import Reply
reply = Reply()
tweet = {'id': 1 << 128, 'user': {'id': 0, 'name': 'まんこ', 'screen_name': 'manko'},
'created_at': '2015-03-09', 'source': 'm'}
while True:
tweet['text'] = input()
print(reply.respond(tweet))
else:
raise ValueError('"%s" is not implemented yet' % job)
def __init__(self):
self.twitter = Twitter()