Filterbot framework that can be used to automatically delete spam comments. You can either use pre-made filter profiles (like f4f filter or advertising filter) or set up your own, custom filter rules.

import scratchattach as sa
from scratchattach import HardFilter, SoftFilter, SpamFilter

session = sa.login("username", "password")
filterbot = session.connect_filterbot(log_deletions=True)

filterbot.add_f4f_filter() # Adds pre-made f4f filter profile
filterbot.add_ads_filter() # Adds pre-made advertising filter profile
filterbot.add_spam_filter() # Adds pre-made spam filter profile

filterbot.start()

It's possible to define your own filters. When you receive a comment that violates one of your filters, it will automatically be deleted.

There are three types of filters:

If a comment violates one of the hard filters, it will always be deleted (no matter the results of the other filters).

How to create and add a hard filter:

hard_filter = HardFilter("filter name", equals=None, contains=None, author_name=None, project_id=None, profile=None, case_sensitive=False)
filterbot.add_filter(hard_filter)

Keyword arguments of the HardFilter constructor:

Generally: Arguments are None by default. Setting an argument to None basically means that this filter criterium is disabled. The filter criteriums are AND-connected, meaning the filter will only be violated if all of the conditions (defined by the arguments) are met. For OR-connections, just create multiple filters.

• equals: The filter is violated if the comment content equals the string this field is set to
• contains: The filter is violated if the comment content contains the string this field is set to. Tip: Set contains to "" to filter all comments (because string contains "" is always True)
• author_name: The filter is violated if the comment is from a specific author
• project_id: The filter is violated if the comment was posted on a specific project
• profile: The filter is violated if the comment was posted on a specific profile

Through the case_sensitive argument, you can specify whether checking the equals and contains criteria should be case-sensitive or not.

If a comment violates a spam filter, the score value of the spam filter will be added to the comment's total violation score (initially 0.0). If this total score is at least 1.0 after all filters were applies, the comment will be deleted.

How to create and add a soft filter:

soft_filter = SoftFilter("filter name", score_value, equals=None, contains=None, author_name=None, project_id=None, profile=None, case_sensitive=False)
filterbot.add_filter(soft_filter)

Spam filters are hard filters that only delete a comment if it is the 2nd matching comment that was posted in less than 5 minutes.

How to create and add a spam filter:

spam_filter = SpamFilter("filter name", equals=None, contains=None, author_name=None, project_id=None, profile=None, case_sensitive=False)
filterbot.add_filter(spam_filter)