]> jfr.im git - z_archive/twitter.git/blob - README
Merge pull request #124 from Adapptor/incompleteread
[z_archive/twitter.git] / README
1 Python Twitter Tools
2 ====================
3
4 The Minimalist Twitter API for Python is a Python API for Twitter,
5 everyone's favorite Web 2.0 Facebook-style status updater for people
6 on the go.
7
8 Also included is a twitter command-line tool for getting your friends'
9 tweets and setting your own tweet from the safety and security of your
10 favorite shell and an IRC bot that can announce Twitter updates to an
11 IRC channel.
12
13 For more information, after installing the `twitter` package:
14
15 * import the `twitter` package and run help() on it
16 * run `twitter -h` for command-line tool help
17
18
19 twitter - The Command-Line Tool
20 -------------------------------
21
22 The command-line tool lets you do some awesome things:
23
24 * view your tweets, recent replies, and tweets in lists
25 * view the public timeline
26 * follow and unfollow (leave) friends
27 * various output formats for tweet information
28
29 The bottom line: type `twitter`, receive tweets.
30
31
32
33 twitterbot - The IRC Bot
34 ------------------------
35
36 The IRC bot is associated with a twitter account (either your own account or an
37 account you create for the bot). The bot announces all tweets from friends
38 it is following. It can be made to follow or leave friends through IRC /msg
39 commands.
40
41
42 twitter-log
43 -----------
44
45 `twitter-log` is a simple command-line tool that dumps all public
46 tweets from a given user in a simple text format. It is useful to get
47 a complete offsite backup of all your tweets. Run `twitter-log` and
48 read the instructions.
49
50 twitter-archiver and twitter-follow
51 -----------------------------------
52
53 twitter-archiver will log all the tweets posted by any user since they
54 started posting. twitter-follow will print a list of all of all the
55 followers of a user (or all the users that user follows).
56
57
58 Programming with the Twitter api classes
59 ========================================
60
61
62 The Twitter and TwitterStream classes are the key to building your own
63 Twitter-enabled applications.
64
65
66 The Twitter class
67 -----------------
68
69 The minimalist yet fully featured Twitter API class.
70
71 Get RESTful data by accessing members of this class. The result
72 is decoded python objects (lists and dicts).
73
74 The Twitter API is documented at:
75
76 http://dev.twitter.com/doc
77
78
79 Examples::
80
81 from twitter import *
82
83 # see "Authentication" section below for tokens and keys
84 t = Twitter(
85 auth=OAuth(OAUTH_TOKEN, OAUTH_SECRET,
86 CONSUMER_KEY, CONSUMER_SECRET)
87 )
88
89 # Get your "home" timeline
90 t.statuses.home_timeline()
91
92 # Get a particular friend's timeline
93 t.statuses.friends_timeline(id="billybob")
94
95 # Also supported (but totally weird)
96 t.statuses.friends_timeline.billybob()
97
98 # Update your status
99 t.statuses.update(
100 status="Using @sixohsix's sweet Python Twitter Tools.")
101
102 # Send a direct message
103 t.direct_messages.new(
104 user="billybob",
105 text="I think yer swell!")
106
107 # Get the members of tamtar's list "Things That Are Rad"
108 t._("tamtar")._("things-that-are-rad").members()
109
110 # Note how the magic `_` method can be used to insert data
111 # into the middle of a call. You can also use replacement:
112 t.user.list.members(user="tamtar", list="things-that-are-rad")
113
114 # An *optional* `_timeout` parameter can also be used for API
115 # calls which take much more time than normal or twitter stops
116 # responding for some reasone
117 t.users.lookup(screen_name=','.join(A_LIST_OF_100_SCREEN_NAMES), _timeout=1)
118
119
120 Searching Twitter::
121
122 # Search for the latest tweets about #pycon
123 t.search.tweets(q="#pycon")
124
125
126 Using the data returned
127 -----------------------
128
129 Twitter API calls return decoded JSON. This is converted into
130 a bunch of Python lists, dicts, ints, and strings. For example::
131
132 x = twitter.statuses.home_timeline()
133
134 # The first 'tweet' in the timeline
135 x[0]
136
137 # The screen name of the user who wrote the first 'tweet'
138 x[0]['user']['screen_name']
139
140
141 Getting raw XML data
142 --------------------
143
144 If you prefer to get your Twitter data in XML format, pass
145 format="xml" to the Twitter object when you instantiate it::
146
147 twitter = Twitter(format="xml")
148
149 The output will not be parsed in any way. It will be a raw string
150 of XML.
151
152
153 The TwitterStream class
154 -----------------------
155
156 The TwitterStream object is an interface to the Twitter Stream API
157 (stream.twitter.com). This can be used pretty much the same as the
158 Twitter class except the result of calling a method will be an
159 iterator that yields objects decoded from the stream. For
160 example::
161
162 twitter_stream = TwitterStream(auth=UserPassAuth('joe', 'joespassword'))
163 iterator = twitter_stream.statuses.sample()
164
165 for tweet in iterator:
166 ...do something with this tweet...
167
168 The iterator will yield tweets forever and ever (until the stream
169 breaks at which point it raises a TwitterHTTPError.)
170
171 The `block` parameter controls if the stream is blocking. Default
172 is blocking (True). When set to False, the iterator will
173 occasionally yield None when there is no available message.
174
175 Twitter Response Objects
176 ------------------------
177
178 Response from a twitter request. Behaves like a list or a string
179 (depending on requested format) but it has a few other interesting
180 attributes.
181
182 `headers` gives you access to the response headers as an
183 httplib.HTTPHeaders instance. You can do
184 `response.headers.getheader('h')` to retrieve a header.
185
186 Authentication
187 --------------
188
189 You can authenticate with Twitter in three ways: NoAuth, OAuth, or
190 UserPassAuth. Get help() on these classes to learn how to use them.
191
192 OAuth is probably the most useful.
193
194
195 Working with OAuth
196 ------------------
197
198 Visit the Twitter developer page and create a new application:
199
200 https://dev.twitter.com/apps/new
201
202 This will get you a CONSUMER_KEY and CONSUMER_SECRET.
203
204 When users run your application they have to authenticate your app
205 with their Twitter account. A few HTTP calls to twitter are required
206 to do this. Please see the twitter.oauth_dance module to see how this
207 is done. If you are making a command-line app, you can use the
208 oauth_dance() function directly.
209
210 Performing the "oauth dance" gets you an ouath token and oauth secret
211 that authenticate the user with Twitter. You should save these for
212 later so that the user doesn't have to do the oauth dance again.
213
214 read_token_file and write_token_file are utility methods to read and
215 write OAuth token and secret key values. The values are stored as
216 strings in the file. Not terribly exciting.
217
218 Finally, you can use the OAuth authenticator to connect to Twitter. In
219 code it all goes like this::
220
221 from twitter import *
222
223 MY_TWITTER_CREDS = os.path.expanduser('~/.my_app_credentials')
224 if not os.path.exists(MY_TWITTER_CREDS):
225 oauth_dance("My App Name", CONSUMER_KEY, CONSUMER_SECRET,
226 MY_TWITTER_CREDS)
227
228 oauth_token, oauth_secret = read_token_file(MY_TWITTER_CREDS)
229
230 twitter = Twitter(auth=OAuth(
231 oauth_token, oauth_secret, CONSUMER_KEY, CONSUMER_SECRET))
232
233 # Now work with Twitter
234 twitter.statuses.update('Hello, world!')
235
236
237
238 License
239 =======
240
241 Python Twitter Tools are released under an MIT License.