Metadata-Version: 1.0
Name: twitter_bot_utils
Version: 0.6.2.1
Summary: Python utilities for twitter bots
Home-page: http://github.com/fitnr/twitter_bot_utils
Author: Neil Freeman
Author-email: contact@fakeisthenewreal.org
License: GPL
Description: # twitter bot utils
        
        Twitter bot utils make it a little easier to set up a Twitter bot, with an eye to making config and command-line options easy to manage and reproduce. They're intended for managing a small-to-medium-sized coterie of Twitter accounts on one machine. The package is a super-simple wrapper for the excellent [Tweepy](http://tweepy.org) library. It also provides shortcuts for setting up command line tools with [argparse](https://docs.python.org/3/library/argparse.html).
        
        This package is intended to assist with the creation of bots for artistic or personal projects. Don't use it to spam or harrass people.
        
        Works with Python 2.7 and 3.4 (2.6 & 3.3 probably work, too).
        
        Install with `pip install twitter_bot_utils`.
        
        ## Setting up a tweepy API
        
        The main goal of Twitter bot utils is to create Tweepy instances with authentication data stored in a simple conf file. This gives botmakers a simple, reusable place to store keys outside of source control.
        
        By default, twitter_bot_utils will read settings from a YAML or JSON config file. By default, it looks in the ~/ and ~/bots directories for files named "bots.yaml", "bots.json", or "botrc". Custom config files can be set, too, of course.
        
        ````python
        from twitter_bot_utils import api
        
        # Automatically check for a config file in the above-named directories
        twitter = api.API('MyBotName')
        
        # Specify a specific config file
        twitter = api.API('MyBotName', config='path/to/config.yaml')
        
        # This is possible, although you should consider just using Tweepy directly
        twitter = api.API('MyBotName', consumer_key='...', consumer_secret='...', key='...', secret='...')
        ````
        
        Twitter bot utils comes with some built-in command line parsers, and the API object will also happily consume the result of `argparse.parser.parse_args()` (see below for details).
        
        ### Config file setup
        
        Custom settings in the config are available at runtime, so use the config file for any special settings you want.
        
        Example config file layout (This is YAML, JSON works, too):
        
        ````yaml
        # ~/bots.yaml
        
        users:
            # twitter screen_name
            MyBotName:
                key: $oauth_key
                secret: $oauth_key_secret
                # The app key should match a key in apps below
                app: my_app_name
                custom_setting: 'hello world'
        
            other_bot:
                key: ...
                secret: ...
                app: my_app_name
        
        apps:
            my_app_name:
                consumer_key: ...
                consumer_secret: ...
        
        foo: bar
        
        ````
        
        Using the config settings:
        
        ````python
        import twitter_bot_utils
        
        # Look for config in the default places mentioned above:
        twitter = twitter_bot_utils.api.API('MyBotName')
        
        twitter.config['foo']
        # returns 'bar'
        
        # The current user and app are also available:
        twitter.user['custom_setting']
        # hello world
        ````
        
        Setting a custom config file is simple:
        
        ````python
        # The config keyword argument will set a custom file location
        twitter = twitter_bot_utils.api.API('MyBotName', config='special/file/path.yaml')
        ````
        
        ## Recent tweets
        
        Basically, the `twitter_bot_utils.api.API` object is a wrapper for Tweepy with some configuration reading options added. It also adds three convenience methods for finding recent tweets, since it's often useful to know what a bot has done recently without setting up a whole backend for saving the bot's tweets.
        
        ````python
        twitter = api.API('MyBotName')
        
        twitter.last_tweet
        # id of most recent tweet from MyBotName
        
        twitter.last_reply
        # id of most recent reply from MyBotName
        
        twitter.last_retweet
        # id of most recent retweet from MyBotName
        
        # Example: what's happened since the last time the bot was active?
        twitter.search('#botALLY', since_id=twitter.last_tweet)
        ````
        
        ## Default Command Line Options
        
        Some useful command line flags are available by default:
        
        * `-n, --dry-run`: Don't tweet, just output to stdout
        * `-v, --verbose`: Log to stdout
        * `-c, --config`: path to a config file. This is a JSON or YAML file laid out according to the below format. 
        
        You can also pass authentication arguments with these options arguments.
        
        * `--key`: Twitter user key
        * `--secret`: Twitter user secret
        * `--consumer-key`: Twitter application consumer key
        * `--consumer-secret`: Twitter application consumer secret
        
        Say this is `yourapp.py`:
        
        ````python
        import logging
        import twitter_bot_utils
        
        # This sets up an argparse.ArgumentParser with some default arguments, which are explained below
        parser = twitter_bot_utils.setup_args('MyBot', description='Tweet something')
        
        parser.add_argument('-m', '--my-arg', help="You're passing an argument to argparse.ArgumentParser")
        
        args = parser.parse_args()
        
        # Parse the default args. For instance, if --verbose is set, the logger will output to stdout.
        twitter_bot_utils.defaults('MyBot', args)
        
        # That's right, utils set up a logger for you.
        # It has the same name as the first argument to setup_args
        logger = logging.getLogger('MyBot')
        
        # Do logic here to generate a tweet somehow
        tweet = my_tweet_function(args.my_arg)
        
        logger.info("Generated "+ tweet)
        
        # Use args.dry_run to control tweeting
        if not args.dry_run:
            twitter.update_status(tweet)
        ````
        
        Then on the command line:
        
        ````bash
        # Looks for settings in a config file (e.g. bots.yaml, see config section above)
        # Outputs results to stdout, doesn't publish anything 
        $ python yourapp.py --dry-run --verbose
        Generated <EXAMPLE TWEET>
        
        # Authenicate with these values instead of the config file
        $ python yourapp.py --verbose --consumer-key $ck --consumer-secret $cs --key $user_key --secret $user_secret
        Generated <EXAMPLE TWEET 2>
        ````
        
        ## Helpers
        
        ### Checking for entities
        
        Easily check if tweets have specific entities:
        
        ````python
        import twitter_bot_utils
        
        # Don't set include_entities to False and expect the below to work
        statuses = twitter.search('example search', include_entities=True)
        
        status = status[0]
        
        twitter_bot_utils.helpers.has_mention(status)
        # returns True if status has one or more mentions, otherwise False 
        
        twitter_bot_utils.helpers.has_hashtag(status)
        # returns True if status has one or more hashtags, otherwise False 
        
        twitter_bot_utils.helpers.has_media(status)
        # returns True if status has one or more media entities (images, video), otherwise False 
        
        twitter_bot_utils.helpers.has_entities(status)
        # returns True if status has any entities
        
        # These also exist:
        # twitter_bot_utils.helpers.has_url
        # twitter_bot_utils.helpers.has_symbol
        ````
        
        ### Filtering out entities
        
        Easily remove entities from a tweet's text.
        
        ````python
        import twitter_bot_utils
        
        api = twitter_bot_utils.api.API('MyBotName')
        
        results = api.search("special topic")
        
        results[0].text
        # 'This is an example tweet with a #hashtag and a link http://foo.com'
        
        twitter_bot_utils.helpers.remove_entity(results[0], 'hashtags')
        # 'This is an example tweet with a  and a link http://foo.com'
        
        twitter_bot_utils.helpers.remove_entity(results[0], 'urls')
        # 'This is an example tweet with a #hashtag and a link '
        
        # Remove multiple entities with remove_entities.
        twitter_bot_utils.helpers.remove_entities(results[0], ['urls', 'hashtags', 'media'])
        # 'This is an example tweet with a  and a link '
        ````
        
Platform: UNKNOWN
