def process_mentions():
"""retrieves all mentions and generates captions for those who are fighting
fit"""
if not cfg('twitter:user_requests:bool'):
return
params = dict(count=200)
sources_whitelist = cfg('twitter:sources_whitelist:list')
mention_prefix = '@%s ' % twitter.me.screen_name.lower()
try:
with open('state_mentions_timeline.txt') as fp:
since_id = int(fp.read())
utils.logging.info('State: since_id=%d', since_id)
params['since_id'] = since_id
except Exception as exc:
utils.logging.warning("There's no last id saved, so I will save the "
'last id I see and then quit.')
since_id = None
filtered_statuses = []
statuses = [
status for page in tweepy.Cursor(twitter.api.mentions_timeline, **
params).pages() for status in page
]
# they are in reverse chronological order, so put them straight
statuses = statuses[::-1]
if not since_id:
since_id = statuses[-1].id
with open('state_mentions_timeline.txt', 'wt') as fp:
fp.write(str(since_id))
utils.logging.info('New since_id=%d. Goodbye!', since_id)
return
for status in statuses:
# ignore mentions that are not directed at me
if not status.text.lower().startswith(mention_prefix):
continue
# ignore retweets
if hasattr(status, 'retweeted_status'):
continue
# if the sources whitelist is enabled, ignore those who aren't on it
if (sources_whitelist and status.source not in sources_whitelist):
continue
# store this status
filtered_statuses.append(status)
if filtered_statuses:
utils.logging.info('Retrieved %d new mentions (from %d to %d).',
len(filtered_statuses), filtered_statuses[0].id,
filtered_statuses[-1].id)
with open('state_mentions_timeline.txt', 'wt') as fp:
fp.write(str(filtered_statuses[-1].id))
Akari.warmup()
parallel = Parallel(process_request, filtered_statuses,
cfg('twitter:process_threads:int') or 3)
parallel.start()
else:
utils.logging.info('Retrieved no new mentions.')
