PKG-INFO

Metadata-Version: 1.1
Name: twitter
Version: 1.10.0
Summary: An API and command-line toolset for Twitter (twitter.com)
Home-page: http://mike.verdone.ca/twitter/
Author: Mike Verdone
Author-email: mike.verdone+twitterapi@gmail.com
License: MIT License
Description: Python Twitter Tools
        ====================
        
        The Minimalist Twitter API for Python is a Python API for Twitter,
        everyone's favorite Web 2.0 Facebook-style status updater for people
        on the go.
        
        Also included is a twitter command-line tool for getting your friends'
        tweets and setting your own tweet from the safety and security of your
        favorite shell and an IRC bot that can announce Twitter updates to an
        IRC channel.
        
        For more information, after installing the `twitter` package:
        
         * import the `twitter` package and run help() on it
         * run `twitter -h` for command-line tool help
        
        
        twitter - The Command-Line Tool
        -------------------------------
        
        The command-line tool lets you do some awesome things:
        
         * view your tweets, recent replies, and tweets in lists
         * view the public timeline
         * follow and unfollow (leave) friends
         * various output formats for tweet information
        
        The bottom line: type `twitter`, receive tweets.
        
        
        
        twitterbot - The IRC Bot
        ------------------------
        
        The IRC bot is associated with a twitter account (either your own account or an
        account you create for the bot). The bot announces all tweets from friends
        it is following. It can be made to follow or leave friends through IRC /msg
        commands.
        
        
        twitter-log
        -----------
        
        `twitter-log` is a simple command-line tool that dumps all public
        tweets from a given user in a simple text format. It is useful to get
        a complete offsite backup of all your tweets. Run `twitter-log` and
        read the instructions.
        
        twitter-archiver and twitter-follow
        -----------------------------------
        
        twitter-archiver will log all the tweets posted by any user since they
        started posting. twitter-follow will print a list of all of all the
        followers of a user (or all the users that user follows).
        
        
        Programming with the Twitter api classes
        ========================================
        
        
        The Twitter and TwitterStream classes are the key to building your own
        Twitter-enabled applications.
        
        
        The Twitter class
        -----------------
        
        The minimalist yet fully featured Twitter API class.
        
        Get RESTful data by accessing members of this class. The result
        is decoded python objects (lists and dicts).
        
        The Twitter API is documented at:
        
        **[http://dev.twitter.com/doc](http://dev.twitter.com/doc)**
        
        
        Examples::
        
        ```python 
        from twitter import *
        
        # see "Authentication" section below for tokens and keys
        t = Twitter(
                    auth=OAuth(OAUTH_TOKEN, OAUTH_SECRET,
                               CONSUMER_KEY, CONSUMER_SECRET)
                   )
        
        # Get your "home" timeline
        t.statuses.home_timeline()
        
        # Get a particular friend's timeline
        t.statuses.friends_timeline(id="billybob")
        
        # Also supported (but totally weird)
        t.statuses.friends_timeline.billybob()
        
        # Update your status
        t.statuses.update(
            status="Using @sixohsix's sweet Python Twitter Tools.")
        
        # Send a direct message
        t.direct_messages.new(
            user="billybob",
            text="I think yer swell!")
        
        # Get the members of tamtar's list "Things That Are Rad"
        t._("tamtar")._("things-that-are-rad").members()
        
        # Note how the magic `_` method can be used to insert data
        # into the middle of a call. You can also use replacement:
        t.user.list.members(user="tamtar", list="things-that-are-rad")
        
        # An *optional* `_timeout` parameter can also be used for API
        # calls which take much more time than normal or twitter stops
        # responding for some reasone
        t.users.lookup(screen_name=','.join(A_LIST_OF_100_SCREEN_NAMES), _timeout=1)
        ```
        
        
        Searching Twitter::
        
        ``` python
        # Search for the latest tweets about #pycon
        t.search.tweets(q="#pycon")
        ```
        
        Using the data returned
        -----------------------
        
        Twitter API calls return decoded JSON. This is converted into
        a bunch of Python lists, dicts, ints, and strings. For example::
        
        ```python
        x = twitter.statuses.home_timeline()
        
        # The first 'tweet' in the timeline
        x[0]
        
        # The screen name of the user who wrote the first 'tweet'
        x[0]['user']['screen_name']
        ```
        
        Getting raw XML data
        --------------------
        
        If you prefer to get your Twitter data in XML format, pass
        format="xml" to the Twitter object when you instantiate it::
        
        ```python
        twitter = Twitter(format="xml")
        ```
        
        The output will not be parsed in any way. It will be a raw string
        of XML.
        
        
        The TwitterStream class
        -----------------------
        
        The TwitterStream object is an interface to the Twitter Stream API
        (stream.twitter.com). This can be used pretty much the same as the
        Twitter class except the result of calling a method will be an
        iterator that yields objects decoded from the stream. For
        example::
        
        ```python
        twitter_stream = TwitterStream(auth=UserPassAuth('joe', 'joespassword'))
        iterator = twitter_stream.statuses.sample()
        
        for tweet in iterator:
            # ...do something with this tweet...
        ```
        
        The iterator will yield tweets forever and ever (until the stream
        breaks at which point it raises a TwitterHTTPError.)
        
        The `block` parameter controls if the stream is blocking. Default
        is blocking (True). When set to False, the iterator will
        occasionally yield None when there is no available message.
        
        Twitter Response Objects
        ------------------------
        
        Response from a twitter request. Behaves like a list or a string
        (depending on requested format) but it has a few other interesting
        attributes.
        
        `headers` gives you access to the response headers as an
        httplib.HTTPHeaders instance. You can do
        `response.headers.getheader('h')` to retrieve a header.
        
        Authentication
        --------------
        
        You can authenticate with Twitter in three ways: NoAuth, OAuth, or
        UserPassAuth. Get help() on these classes to learn how to use them.
        
        OAuth is probably the most useful.
        
        
        Working with OAuth
        ------------------
        
        Visit the Twitter developer page and create a new application:
        
        **[https://dev.twitter.com/apps/new](https://dev.twitter.com/apps/new)**
        
        This will get you a CONSUMER_KEY and CONSUMER_SECRET.
        
        When users run your application they have to authenticate your app
        with their Twitter account. A few HTTP calls to twitter are required
        to do this. Please see the twitter.oauth_dance module to see how this
        is done. If you are making a command-line app, you can use the
        oauth_dance() function directly.
        
        Performing the "oauth dance" gets you an ouath token and oauth secret
        that authenticate the user with Twitter. You should save these for
        later so that the user doesn't have to do the oauth dance again.
        
        read_token_file and write_token_file are utility methods to read and
        write OAuth token and secret key values. The values are stored as
        strings in the file. Not terribly exciting.
        
        Finally, you can use the OAuth authenticator to connect to Twitter. In
        code it all goes like this::
        
        ```python
        from twitter import *
        
        MY_TWITTER_CREDS = os.path.expanduser('~/.my_app_credentials')
        if not os.path.exists(MY_TWITTER_CREDS):
            oauth_dance("My App Name", CONSUMER_KEY, CONSUMER_SECRET,
                        MY_TWITTER_CREDS)
        
        oauth_token, oauth_secret = read_token_file(MY_TWITTER_CREDS)
        
        twitter = Twitter(auth=OAuth(
            oauth_token, oauth_secret, CONSUMER_KEY, CONSUMER_SECRET))
        
        # Now work with Twitter
        twitter.statuses.update('Hello, world!')
        ```
        
        
        License
        =======
        
        Python Twitter Tools are released under an MIT License.
        
Keywords: twitter,IRC,command-line tools,web 2.0
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Communications :: Chat :: Internet Relay Chat
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content :: CGI Tools/Libraries
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: MIT License