A port of the Ruby gem twitter-text-rb to Python.

Changes in 2.0

See the pull request for details.

Usage

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.

TwitterText(text)

Properties:

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_length or None if that function has not yet been called.
tweet_is_valid: boolean returned by validation.tweet_invalid or None if that function has not yet been called.
validation_error: the validation error string returned by validation.tweet_invalid or 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

Autolink(text)

This object modifies the text passed to it (and the parent TwitterText.text if present).

Defaults

These may be overridden by kwargs on a particular method.

url_class = 'tweet-url'
list_class = 'list-slug'
username_class = 'username'
hashtag_class = 'hashtag'

Methods:

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.

Extractor

This object does not modify the text passed to it (or the parent TwitterText.text if present).

Methods

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.

HitHighlighter

Defaults

These may be overridden by kwargs on a particular method.

highlight_tag = 'em'
highlight_class = 'search-hit'

Methods

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"

Validation

Methods

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

kerray/twitter-text-py

Changes in 2.0

Usage

TwitterText(text)

Properties:

Autolink(text)

Defaults

Methods:

Extractor

Methods

HitHighlighter

Defaults

Methods

Validation

Methods