README.md

CDF.MOE

Makes graphs from comments on Reddit threads

Preparing for the data

• Install Docker
• Fill out the info needed in .env.example and rename it to .env
• Run docker-compose up to start everything up
  • Will need to use the --build option to make it not use a cached image when you wanna update the image
  • Use the -d option to leave it always running in a detached state

Acquiring the data

• Pick from one of three options to acquire data:
  • --threads grabs the threads from the given thread IDs
    • To get a thread ID, pick a reddit thread and find it in the URL: https://www.reddit.com/r/subreddit/comments/thread_id/title/otherstuffsometimes
  • --cdf grabs the most recently completed CDF
  • --all grabs all previous FTFs and CDFs (including the one that's currently in progress)
• Run:
  1. docker exec -it cdf.moe_acquire_1 /bin/bash
  2. poetry run python3 acquire.py --OPTION
  3. Wait potentially quite a while or a few seconds-minutes for it to run depending on which option you chose
• The default behavior is to automatically run the --cdf option on a weekly basis

Viewing the data

• If you wanna see the raw data, run docker exec -it cdf.moe_db_1 psql -U YOUR_POSTGRES_USER THE_DB_DATABASE
• Visit cdf.moe for fancy graphs for CDF

Other stuff

• Issues and PRs welcome, particularly for adding on graph types
• This is very much due to a local configuration setup, but you're going to have to do a few other things
  1. Set up an external docker network
  • Run docker network create cdf.moe_nginx
  • This is to connect nginx with the services
  2. Build the site
  • Run docker exec -it cdf.moe_website_1 npm run build and point nginx at the resultant /dist
  • This is because by default the docker container for the website only serves it locally, so if you want to make it available outside, you're gonna need to build it

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Interesting queries

Ranking users over number of comments made

select rank() over (order by count desc), author, count from (select author, count(author) from comments inner join threads on link_id = long_id where short_id='short_name_for_thread' group by author order by count desc) x;

Seeing which users received the most replies

with t1 as (select parent_id, count(*) as c from comments inner join threads on link_id = long_id where short_id = 'short_name_for_thread' and link_id != parent_id group by parent_id),
t2 as (select author, name from comments inner join threads on link_id = long_id where short_id = 'short_name_for_thread')
select t2.author, sum(t1.c) as s from t1, t2 where t1.parent_id = t2.name group by author order by s desc;