Reddit Sorry Counter

sorry.py

import praw

def get_subreddit_comments(reddit_agent, subreddit, comments_out = [], count = 100):
    try:
        sub = reddit_agent.get_subreddit(subreddit)
        comments_raw = sub.get_comments(sub, limit=count)
        comments_flat = praw.helpers.flatten_tree(comments_raw)
        for comment in comments_flat:
            try:
                if hasattr(comment, 'comments'):
                    for reply in comment.comments:
                        comments_out.append(reply.body)
                else:
                    comments_out.append(comment.body)
            except:
                pass
    except:
        pass

def get_reddit_agent(user_agent, client_id, client_secret, redirect='http://127.0.0.1'):
    reddit_agent = praw.Reddit(user_agent = 'sorry counter')
    reddit_agent.set_oauth_app_info(client_id = client_id,
                      client_secret = client_secret,
                      redirect_uri = redirect)
    return reddit_agent

def get_sorry_and_word_count(comment_list, apologies = ['sorry', 'apologies']):
    sorry_count = 0
    word_count = 0
    for comment in comment_list:
        words = comment.split(' ')
        word_count += int(len(words))
        for word in words:
            for apology in apologies:
                sorry_count += word.lower().count(apology)
    return sorry_count, word_count
                    

if __name__ == "__main__":
        
    client_id = 'your_client_id'
    client_secret = 'your_client_secret'
    reddit_agent = get_reddit_agent('custom name for app', client_id, client_secret)

    #list of canadian reddits to search
    canada_reddits = ['canada','alberta','britishcolumbia','Manitoba','NewBrunswickCanada', 'newfoundland',
                       'NovaScotia','nunavut','NWT','ontario','PEI', 'saskatchewan','Yukon']
    
    #empty list where comments will be added
    canada_comments = []
    for subreddit in canada_reddits:
         get_subreddit_comments(reddit_agent, subreddit, canada_comments, count = (1000 / len(canada_reddits)))
    canada_sorry, canada_total_words = get_sorry_and_word_count(canada_comments)

    #empty list for world comments to be added
    world_comments = []
    
    #Using all to represent the global sample, so only 1 subreddit passed in
    get_subreddit_comments(reddit_agent, 'all', world_comments, count = 1000)
    world_sorry, world_total_words = get_sorry_and_word_count(world_comments)

    #print results
    print("Canada {} / {}, All {} / {}".format(canada_sorry, canada_total_words, world_sorry, world_total_words))
    print("Canada {}% sorry, World {}%".format(float(canada_sorry)/canada_total_words * 100, float(world_sorry)/world_total_words*100))