def __init__(self, username, password, user_agent, n=2, text_paths=[], db_paths=[]): """ """ # Save state print "Booting up `markiavelli`..." self.n = n self.text_paths = text_paths self.db_paths = db_paths self.reddit_tool = RedditInterface(username, password, user_agent) # Initialize Content objects print "Building Content objects..." self.content = [] for text_path in text_paths: self.content.append(TextContent(text_path)) for db_path in db_paths: self.content.append(CommentContent(db_path)) # Initialize Markov chain print "Initializing Markov chain..." self.mc = MarkovChain(self.content, self.n, [])
class Markiavelli(object): def __init__(self, username, password, user_agent, n=2, text_paths=[], db_paths=[]): """ """ # Save state print "Booting up `markiavelli`..." self.n = n self.text_paths = text_paths self.db_paths = db_paths self.reddit_tool = RedditInterface(username, password, user_agent) # Initialize Content objects print "Building Content objects..." self.content = [] for text_path in text_paths: self.content.append(TextContent(text_path)) for db_path in db_paths: self.content.append(CommentContent(db_path)) # Initialize Markov chain print "Initializing Markov chain..." self.mc = MarkovChain(self.content, self.n, []) def _get_keywords(self, comments): return [] def _find_submission(self): """ """ return def _post(self, submission): """ """ # Use comments to generate context comments = self.reddit_tool.fetch_submission_comments_flat(submission) print "Markiavelli:: comment length: ", len(comments) keywords = self._get_keywords(comments) # Generate a new message and post it self.mc.update_context(keywords) msg = self.mc.generate_sentence() print submission print msg self.reddit_tool.post_comment(submission, msg) def monitor(self, subreddit, frequency): """ """ # submission_stream = praw.helpers.submission_stream( # self.reddit, # subreddit, # limit=None, # verbosity=0 # ) # candidates = [] # while True: # submission = next(submission_stream) # candidates.append(submission) # if len(candidates) == frequency: # submission = random.choice(candidates) # self._post(submission) # candidates = [] # return print 'Monitoring r/%s...' % subreddit candidates = [] while True: if len(candidates) >= frequency: submission = random.choice(candidates[:frequency]) self._post(submission) candidates = candidates[frequency:] print else: submissions = self.reddit_tool.fetch_submissions_controversial( subreddit ) candidates.extend(submissions) print len(candidates) time.sleep(60*10) return
