This Github Repository contains my submission for project 4. A link to project instructions can be found here. My bot is opposing Donald Trump, and supporting Joe Biden via upvotes in my bot_vote.py file.

Here is a link to my favorite thread involving my bot. Attached below is a screenshot of the thread:

I like this thread because you can see my bot interacting with other bots, and trying to reply and continue the conversation. The thread makes some sense, and I also like how you can see my madlibs text and Markovify text being posted simultaneously.

Included below is the output of running my bot_counter.py file on my bot llamabot45, which generated over 800 valid comments.

len(comments)= 1000
len(top_level_comments)= 93
len(replies)= 907
len(valid_top_level_comments)= 93
len(not_self_replies)= 899
len(valid_replies)= 713
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valid_comments= 806
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1. 12 points: all tasks in bot.py
2. 3 points: this Github repo
3. 6 points: getting 800+ valid comments (in the output of my bot_counter.py file)
4. 2 points: the bot_submissions.py file - having my bot create 200+ submission posts. I scanned the top posts in the subreddits /r/TrumpCriticizesTrump/, /r/Trumpvirus/, /r/TrumpHatesTheTroops/ and /r/america/.
5. 2 points: having my bot reply to highly upvoted comments in thread with code in my bot.py file below the comments_without_replies function.
6. 4 points: having my bot upvote comments mentioning biden in my bot_vote.py file. I earned an extra 2 points here because I used TextBlob to determine the sentiment of posts, and upvoted/downvoted based on the sentiment. I ran on at least 100 submissions and all comments in those submissions.
7. 5 points: using Markovify to generate the text of my comments - I have uploaded my 3 text files trumptext.txt, trumptext2.txt, trumptext3.txt

1. 2 points: creating an army of 5 bots
2. 4 points: getting 1000+ valid comments

As a result, I think my final score should be a 34/30.