A port of the Ruby gem twitter-text-rb to Python.
See the pull request for details.
You can either call a new TwitterText object with the text of the tweet you want to process TwitterText('twitter-text-py is #awesome') or use any of the submodule objects directly (Autolink, Extractor, HitHighlighter or Validation), passing in the tweet text as an argument.
The library also contains a Django template filter that applies the auto_link method to the passed in text. It can also optionally apply the hit_highlight method. Example:
{% load twitterize %}
{{ obj.body|twitter_text }} <!-- just add the links -->
{{ obj.body|twitter_text:"my term" }} <!-- add the links and highlight the search term -->
You can test that the library is working correctly by running python tests.py inside the twitter_text directory.
- text: the original text you passed in, or the modified version if you've called any functions on the object.
- original_text: the original text you passed in; never modified. Useful for a fallback or to do comparisons.
- has_been_linked: boolean denoting if any of the Autolink functions have been called. (Mostly for internal use.)
- tweet_length: the value returned by
validation.tweet_lengthor None if that function has not yet been called. - tweet_is_valid: boolean returned by
validation.tweet_invalidor None if that function has not yet been called. - validation_error: the validation error string returned by
validation.tweet_invalidor None if that function has not yet been called. - autolink: property pointing to an Autolink object initialized with
text - extractor: property pointing to an Extractor object initialized with
text - highlighter: property pointing to a HitHighlighter object initialized with
text - validation: property pointing to a Validation object initialized with
text
This object modifies the text passed to it (and the parent TwitterText.text if present).
These may be overridden by kwargs on a particular method.
- url_class = 'tweet-url'
- list_class = 'list-slug'
- username_class = 'username'
- hashtag_class = 'hashtag'
auto_link(self, **kwargs)
Add <a></a> tags around the usernames, lists, hashtags and URLs in the provided text. The <a> tags can be controlled with the following kwargs:
- url_class: class to add to all
<a>tags - list_class: class to add to list
<a>tags - username_class: class to add to username
<a>tags - hashtag_class: class to add to hashtag
<a>tags - username_url_base: the value for href attribute on username links. The @username (minus the @) will be appended at the end of this.
- list_url_base: the value for href attribute on list links. The @username/list (minus the @) will be appended at the end of this.
- hashtag_url_base: the value for href attribute on hashtag links. The #hashtag (minus the #) will be appended at the end of this.
- suppress_lists: disable auto-linking to lists
- suppress_no_follow: do not add rel="nofollow" to auto-linked items
- html_attrs: a dictionary of HTML attributes to add to non-Twitter links
auto_link_usernames_or_lists(self, **kwargs)
Add <a></a> tags around the usernames and lists in the provided text. The <a> tags can be controlled with the following kwargs:
- url_class: class to add to all
<a>tags - list_class: class to add to list
<a>tags - username_class: class to add to username
<a>tags - username_url_base: the value for href attribute on username links. The @username (minus the @) will be appended at the end of this.
- list_url_base: the value for href attribute on list links. The @username/list (minus the @) will be appended at the end of this.
- suppress_lists: disable auto-linking to lists
- suppress_no_follow: do not add rel="nofollow" to auto-linked items
auto_link_hashtags(self, **kwargs)
Add <a></a> tags around the hashtags in the provided text. The <a> tags can be controlled with the following kwargs:
- url_class: class to add to all
<a>tags - hashtag_class: class to add to hashtag
<a>tags - hashtag_url_base: the value for href attribute. The hashtag text (minus the #) will be appended at the end of this.
- suppress_no_follow: do not add rel="nofollow" to auto-linked items
auto_link_urls_custom(self, **kwargs)
Add <a></a> tags around the URLs in the provided text. Any elements in kwargs (except @supress_no_follow@) will be converted to HTML attributes and place in the <a> tag. Unless kwargs contains @suppress_no_follow@ the rel="nofollow" attribute will be added.
This object does not modify the text passed to it (or the parent TwitterText.text if present).
extract_mentioned_screen_names
Extracts a list of all usernames mentioned in the Tweet text. If the text contains no username mentions an empty list will be returned.
If a transform is given, then it will be called with each username.
extract_mentioned_screen_names_with_indices
Extracts a list of all usernames mentioned in the Tweet text along with the indices for where the mention occurred in the format:
{
'screen_name': username_string,
'indicies': ( start_postion, end_position )
}
If the text contains no username mentions, an empty list will be returned.
If a transform is given, then it will be called with each username, the start index, and the end index in the text.
extract_reply_screen_name
Extracts the first username replied to in the Tweet text. If the text does not contain a reply None will be returned.
If a transform is given then it will be called with the username replied to (if any).
extract_urls
Extracts a list of all URLs included in the Tweet text. If the text contains no URLs an empty list will be returned.
If a transform is given then it will be called for each URL.
extract_urls_with_indices
Extracts a list of all URLs included in the Tweet text along with the indices in the format:
{
'url': url_string,
'indices': ( start_postion, end_position )
}
If the text contains no URLs an empty list will be returned.
If a transform is given then it will be called for each URL, the start index, and the end index in the text.
extract_hashtags
Extracts a list of all hashtags included in the Tweet text. If the text contains no hashtags an empty list will be returned. The list returned will not include the leading # character.
If a transform is given then it will be called for each hashtag.
extract_hashtags_with_indices
Extracts a list of all hashtags included in the Tweet text along with the indices in the format:
{
'hashtag': hashtag_text,
'indices': ( start_postion, end_position )
}
If the text contains no hashtags an empty list will be returned. The list returned will not include the leading # character.
If a transform is given then it will be called for each hashtag.
These may be overridden by kwargs on a particular method.
- highlight_tag = 'em'
- highlight_class = 'search-hit'
hit_highlight(self, query, **kwargs)
Add <em></em> tags around occurrences of query provided in the text except for occurrences inside hashtags.
The <em></em> tags or css class can be overridden using the highlight_tag and/or highlight_class kwarg. For example:
python> HitHighlighter.hit_highlight('test hit here').hit_highlight('hit', highlight_tag = 'strong', highlight_class = 'search-term')
=\> "test <strong class='search-term'>hit</strong> here"
tweet_length
Returns the length of the string as it would be displayed. This is equivilent to the length of the Unicode NFC (See: http://www.unicode.org/reports/tr15). This is needed in order to consistently calculate the length of a string no matter which actual form was transmitted. For example:
U+0065 Latin Small Letter E
+ U+0301 Combining Acute Accent
----------
= 2 bytes, 2 characters, displayed as é (1 visual glyph)
The NFC of {U+0065, U+0301} is {U+00E9}, which is a single character and a display length of 1
The string could also contain U+00E9 already, in which case the canonicalization will not change the value.
tweet_invalid
Check the text for any reason that it may not be valid as a Tweet. This is meant as a pre-validation before posting to api.twitter.com. There are several server-side reasons for Tweets to fail but this pre-validation will allow quicker feedback.
Returns false if this text is valid. Otherwise one of the following Symbols will be returned:
- "Too long": if the text is too long
- "Empty text": if the text is empty
- "Invalid characters": if the text contains non-Unicode or any of the disallowed Unicode characters
