This is the GitHub repository for the project_04 (RedditBot). The The bot.py file contains a program that has a Reddit bot post comments (generated using either a madlib technique) in support of Obama, Hillary, and Biden (also opposing Trump). The name of my bot is "notapythonbot".

My score on this project should be 33/30. I completed all of the tasks in bot.py, which are worth a total of 12 points. I also completed the GitHub repository, which is worth 3 points (completed all of the requirements). "notapythonbot" posted 1000 valid comments, which is worth 10 points.

Optional Tasks (worth 2 points each):

Task 1: I created a new file bot_submissions.py and place all of the code in this new file. I did NOT modify the bot.py file to create submissions. This bot created new submission posts instead of just new comments by scanning r/liberal and then posting these submission to our class subreddit. I should get full credit (2 points) since I have at least 200 submissions, and some are self posts and some link posts (no duplicates, too).

Task 3: Instead of having my bot reply randomly to posts, it now replies only to the most highly upvoted comment in a thread that it hasn't already replied to. I also ensured that my bot did not reply to itself! Therefore, I should get full credit (2 points).

This is the code I used:

 comments_without_replies.sort(key = lambda x : x.score, reverse = True)
        try:
            comments_without_replies[0].reply(generate_comment())
        except (IndexError, praw.exceptions.RedditAPIException):
            pass

Task 4: I created a separate python file called bot_vote.py that performs the upvotes. This file loops over all of the all submissions in the class subreddit and perform the up and downvoting on all comments in each submission. My bot upvotes any comment or submission that mentions my favorite candidates "Biden", "Hillary", and/or "Obama" in a positive sentiment and downvote any comment or submission that mentions them in a bad sentiment. Also, my bot downvotes any comment or submission that mentions "Trump" in a positive sentiment and downvotes any comment or submission that mentions him in a positive sentiment. This was done using the TextBlob sentiment analysis library to determine the sentiment of the posts. Therefore, I should get full credit (4 points: 2 for the bot_vote.py code and 2 for the TextBlob sentiment analysis). (P.S. This code was run on more than 100 submissions and all of the comments within those submissions, so this fulfills the requirements).

Adding up all of the points:

1. bot.py tasks: 12
2. 1000 valid comments: 10
3. GitHub repository: 3
4. 3 extra credit: 8

Total = 33

Here is a pretty funny interaction of my bot. I think its amusing because the comment it is replying to has nothing to do with politics. My comment got 3 upvotes and also is clearly false and funny! Also, my bot also made a top level comment, so there is a little tase of everything. Here is a picture of the thread:

Output of bot_counter.py file:

len(comments)= 1000
len(top_level_comments)= 840
len(replies)= 160
len(valid_top_level_comments)= 840
len(not_self_replies)= 160
len(valid_replies)= 160
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valid_comments= 1000
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