A collection of tools for working with comments made on www.reddit.com/r/counting
Project description
A collection of tools for getting data on the counting threads in /r/reddit.com/r/counting.
Description
There's a community on reddit that likes to count collaboratively. Any kind of count - if you can think of a sequence of numbers (or letters, or words) what could be fun to count in order, we've probably tried counting it.
As well as counting, we also make stats on who's made how many counts, how fast they were, and who managed to count numbers ending in lots of nines or zeros.
This repository has tools for interacting with the reddit api through the Python Reddit API Wrapper, to help gathering these statistics.
Currently, the main non-trivial functions get statistics for a single reddit thread, or for the "999" and "000" counts for many threads.
Installation and usage
The package is available on pypi
as a package, so installation is as easy as pip3 install rcounting
. Otherwise, you can clone the repository by: typing git clone https://github.com/cutonbuminband/counting_stats.git
in a terminal.
To get everything to work, you'll need to get oauth credentials for the reddit api, and store them somewhere where the program knows about it. The easiest way is to create a file in called praw.ini
in the directory with the following contents
[stats_bot]
client_id = 14CHARACTER_ID
client_secret = 30CHARACTER_SECRET
user_agent= PICK_SOMETHING_SENSIBLE
username = USERNAME
password = PASSWORD
Alternatively, take a look at the instructions in reddit_interface.py
.
If you only intend to scrape public posts, and don't want to comment or access private posts, the username
and password
lines are unnecessary.
The main command line interfaces are log_thread.py
, validate.py
and update_thread_directory.py
which will be described below. All scripts accept a -h
or --help
parameter to explain the usage.
Thread Logging
The package has a script for logging threads which can be invoked just by typing log_thread.py
. The default behaviour is to log the latest complete thread (as found in the directory, saving the output to csv files. You can specify that you want to log a different threads, want to log a while chain of threads, or want to store the output in a database instead. Try typing log_thread.py -h
to see a more detailed usage explanation.
Validation
The validate.py
script works in the same way, except that it takes an additional --rule
parameter specifying which rule should be checked. The following options are available:
- default: No counter can reply to themselves
- wait2: Counters can only count once two others have counted
- wait3: Counters can only count once three others have counted
- once_per_thread: Counters can only count once on a given reddit submission
- slow: One minute must elapse between counts
- slower: Counters must wait one hour between each of their counts
- slowestest: One hour must elapse between each count, and counters must wait 24h between each of their counts
- only_double_counting: Counters must reply to themselves exactly once before it's somebody else's turn.
If no rule is supplied, the script will only check that nobody double counted.
After you run it, it'll print out whether all the counts in the chain were valid, and if there was an invalid count, which one it was.
Updating the thread directory
The script update_thread_directory.py
will try and update the directory of side threads. It roughly follows the following steps
- It gets all submissions to r/counting made within the last six months
- It tries to find a link to the parent submission of each submission
- First it looks for a reddit url in the body of each submission (trying to find the "continued from here" line
- If that fails, it goes through all the top level comments of the submission looking for a reddit url
- It constructs a chain for each thread from parent submission to child submission
- For each row in each table in the directory, it extracts
- Which side thread it is, based on the link to the first thread
- What the previous submission, comment and total count were.
- It then uses the chain of submissions to find the latest submission of each thread type
- And walks down the comments on each submission to the latest one. At each level of comments it goes to the first valid reply based on
- A per-thread rule describing when a count is valid
- A per-thread rule describing what looks like a count (to skip over mid-thread conversations)
- If the latest submission is not the same as the previous one, it tries to update the total count field
Some threads hang around for a long time, so there's also an archive of older threads. If a submission is more than six months old and still been completed, the thread is moved to the archive.
Some of the threads from the last six months might not be in the directory (yet). These are potentially new or revived threads. If a submission contains no links to previous submissions, it's considered a new thread, and once it has more than 50 counts by 5 different users, it's automatically added to the directory. Submissions which link to archived threads are considered to be revivals of the archived thread, and once the submission has 20 counts, it's moved from the archive to the new threads table.
If you run the script with no parameters it takes around 15 minutes to run, depending on how out of date the directory pages are. That's an unavoidable consequence of the rate-limiting that reddit does.
Data analysis
Using the scripts here (and an archive supplied by members of r/counting, I've scraped every comment in the main counting chain, including the comment bodies. There are a number of interesting plots and tables that can be made using this data; here's a list of examples of working with the data.
Contributing and Future Ideas
This is a loosely organised list of things which could be done in the future. If you have any suggestions, don't hesitate to write, or to send a pull request.
Recovering gracefully if a linked comment is inaccessible because it's been deleted or removedThis has been done more or less, in that the code tries to see if the reddit object is accessible on pushshift. If it isn't, it still crashes, but there's no simple way of recovering gently if e.g. the body of a submission is missing so that the previous get can't be found.- Making the comment and url extraction less brittle
License
This project is licensed under the terms of the GNU General Public License v3.0, or, at your discretion, any later version. You can read the license terms in LICENSE.md
Dependencies
The program has only been tested on python 3.8
The program makes use of the Python Reddit API Wrapper to interact with reddit.
The program also uses the Pushshift API Wrapper
The program uses the pandas
package to work with tabular data
Get in touch
If you have any questions, suggestions or comments about this repository, you can contact the maintainer at cutonbuminband@gmail.com, or visit the counting subreddit and post in the weekly Free Talk Friday thread
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file rcounting-0.3.tar.gz
.
File metadata
- Download URL: rcounting-0.3.tar.gz
- Upload date:
- Size: 45.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b2e574dfbe8df429a33ad352bef46380e6c3f3811ff5f86694c17fdb9cc43e6b |
|
MD5 | 3bffee54bac0190a96913ee5133b9d7f |
|
BLAKE2b-256 | 297bae8a79353bc8e61382f1d4588b7d4c4b9dcba6e085439140ba2e87c14b97 |
File details
Details for the file rcounting-0.3-py3-none-any.whl
.
File metadata
- Download URL: rcounting-0.3-py3-none-any.whl
- Upload date:
- Size: 46.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2589b8aec71689949c3ebebeafd7d181e36db0eccc67cd7f503314ee2ed278cd |
|
MD5 | 8b7aebe9f9d651601122a96d40f6d0f0 |
|
BLAKE2b-256 | 2f5d2f02483db8e1bc4c034fd0587837fa2a736e7b90fc75b212c83bec6d34f9 |