semvec/pypi-packages huggingface dataset:
django-comments-spamfighter 0.4
A Django app that contributes Akismet and Keyword blocking to your django comments.
License: BSD

===========================
django-comments-spamfighter
===========================

This Django application contributes a moderation class to Django’s comment app that provides:

* Check incoming comments against the Akismet spam database and either block
  them directly or add them to the moderation queue.

* Check incoming comments against pre-defined keywords and either block them
  directly or add these them to the moderation queue. These keywords can be
  simple strings or powerful regular expressions.

The documentation is online::

    http://docs.mahner.org/django-comments-spamfighter/


Quick installation
==================

Here is a quick installation guide for users who are familiar with comment
moderation::

    from comments_spamfighter.moderation import SpamFighterModerator

    class EntryModerator(SpamFighterModerator):

    	# Regular options by django's contributed CommentModerator
    	
        auto_moderate_field = 'created'
        email_notification = True


        # Spam fighter options

        # Check with Akismet for spam
        akismet_check = False

        # If Akismet marks this message as spam, delete it instantly (False) or
        # add it the comment the moderation queue (True). Default is True.
        akismet_check_moderate = True

        # Do a keyword check
        keyword_check = True

        # If a keyword is found, delete it instantly (False) or add the comment to
        # the moderation queue (True). Default is False.
        keyword_check_moderate = False

    moderator.register(Entry, EntryModerator)
pivotaltracker 0.0.3
pivotaltracker is a Pythonic wrapper around the PivotalTracker API
License: BSD

Overview
========

This module provides a simple Pythonic interface to the PivotalTracker API.
It also provides both a simple commandline interface to Pivotal.

Quickstart
==========

This is the primary API for using Pivotal.  First, you need an API token from Pivotal.
You can generate one in your profile settings: <https://www.pivotaltracker.com/profile>.

Next, you simply create a client::

    import pivotaltracker
    client = pivotaltracker.Client(token="YOUR API TOKEN")
    
Now you can execute any of the API methods on that client.  All method calls will return Python dictionaries.
You can find detailed documentation in the docstrings for now, until I get the API docs created.
Here's a quick rundown in the meantime:

* **get_project** (project_id)
* **get_all_projects** ()
* **get_story** (project_id, story_id)
* **get_stories** (project_id, query=None, limit=None, offset=None)
* **get_iterations** (project_id, limit=None, offset=None)
* **get_done_iterations** (project_id, limit=None, offset=None)
* **get_current_iterations** (project_id, limit=None, offset=None)
* **get_backlog_iterations** (project_id, limit=None, offset=None)
* **add_story** (project_id, name, description, story_type, requested_by=None, estimate=None, current_state=None, labels=None)
* **update_story** (project_id, story_id, name=None, description=None, requested_by=None, story_type=None, estimate=None, current_state=None, labels=None)
* **delete_story** (project_id, story_id)
* **add_comment** (project_id, story_id, text, author=None)
* **deliver_all_finished_stories** (project_id)

Source Code
===========

You can contribute to the source code on GitHub: <http://github.com/mjpizz/pivotaltracker>

Release Notes
=============

* **0.0.3** added feature submission to the tool
* **0.0.2** added bug submission to the tool
* **0.0.1** original Client API object, very basic commandline tool (only submits chores)

Advanced
========

Commandline Tool
----------------
Simply run ``pt help`` on the commandline to see options.  The first time you run the tool,
it will walk you through creating your API key and setting up your configuration.

More documentation to come, later.