Metadata-Version: 2.1
Name: tweettr
Version: 0.1.0
Summary: tweettr is a `attrdict` like wrapper around (a few) Twitter JSON objects.
Home-page: https://github.com/ap--/tweettr
Author: Andreas Poehlmann
Author-email: andreas@poehlmann.io
License: MIT
Description: # Tweettr - thin attrdict like wrapper around (a few) Tweet objects
        
        [![PyPI](https://img.shields.io/pypi/v/tweettr)](https://pypi.org/project/tweettr/)
        [![PyPI - Downloads](https://img.shields.io/pypi/dm/tweettr?label=pypi)](https://pypi.org/project/tweettr/)
        [![MIT license](http://img.shields.io/badge/license-MIT-yellowgreen.svg)](http://opensource.org/licenses/MIT)
        [![GitHub issues](https://img.shields.io/github/issues/ap--/python-tweettr.svg)](https://github.com/ap--/tweettr/issues)
        [![Github Sponsors](https://img.shields.io/badge/github-sponsors-blue)](https://github.com/sponsors/ap--)
        
        Tweettr gives you a convenient attribute interface to (some) tweet objects without any copying overhead.
        And if your editor or IDE understands type annotations it let's you do attribute auto completion.
        
        It also add a way to provide emoji parsing with a similar interface to `.entities.hashtags`. :sparkling_heart:
        
        So when you receive a json object from the twitter streaming api you can access it in a nicer way:
        
        ```yaml
        # json blob returned from twitter streaming api
        {
          "id": 11223344556677889900,
          "id_str": "11223344556677889900",
          "created_at": "Sun Feb 16 13:16:19 +0000 2020",
          "user": {
            "id": 11223344556677889900,
            "id_str": "11223344556677889900",
            "screen_name": "AAAAAAAA",
            # ...
          },
          "entities": {
            "hashtags": [{
                "indices": [12, 21],
                "text": "MyHashTag"
              }]
          },
          "text": "Hello World #MyHashTag",
          "favorite_count": 0,
          "favorited": false,
          "timestamp_ms": "1500000000000",
          "truncated": false,
          # ...
        }
        ```
        
        becomes:
        ```python
        >>> import tweettr
        >>> tweet = tweettr.Tweet(json_blob)
        >>> tweet.user.id
        11223344556677889900
        >>> tweet.user.screen_name
        'AAAAAAAA'
        >>> tweet.emojis  # extract emojis like HashTags and Urls...
        [Emoji(...), Emoji(...)]
        >>> ...  # etc, etc... 
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8
Description-Content-Type: text/markdown
