Metadata-Version: 1.1
Name: leaderboard
Version: 2.1
Summary: Leaderboards backed by Redis in Python
Home-page: https://github.com/agoragames/leaderboard-python
Author: David Czarnecki
Author-email: dczarnecki@agoragames.com
License: LICENSE.txt
Description: # leaderboard
        
        Leaderboards backed by [Redis](http://redis.io) in Python.
        
        Builds off ideas proposed in http://blog.agoragames.com/2011/01/01/creating-high-score-tables-leaderboards-using-redis/.
        
        ## Installation
        
        `pip install leaderboard`
        
        Make sure your redis server is running! Redis configuration is outside the scope of this README, but
        check out the [Redis documentation](http://redis.io/documentation).
        
        ## Usage
        
        ### Creating a leaderboard
        
        Be sure to require the leaderboard library:
        
        ```python
        from leaderboard import Leaderboard
        ```
        
        Create a new leaderboard or attach to an existing leaderboard named 'highscores':
        
        ```python
        highscore_lb = Leaderboard('highscores')
        ```
        
        ### Ranking members in the leaderboard
        
        Add members to your leaderboard using `rank_member`:
        
        ```python
        for index in range(1, 11):
          highscore_lb.rank_member('member_%s' % index, index)
        ```
        
        You can call `rank_member` with the same member and the leaderboard will be updated automatically.
        
        Get some information about your leaderboard:
        
        ```python
        highscore_lb.total_members()
        10
        
        highscore_lb.total_pages()
        1
        ```
        
        Get some information about a specific member(s) in the leaderboard:
        
        ```python
        highscore_lb.score_for('member_4')
        4.0
        
        highscore_lb.rank_for('member_4')
        7
        
        highscore_lb.rank_for('member_10')
        1
        ```
        
        ### Retrieving members from the leaderboard
        
        Get page 1 in the leaderboard:
        
        ```python
        highscore_lb.leaders(1)
        
        [{'member': 'member_10', 'score': 10.0, 'rank': 1}, {'member': 'member_9', 'score': 9.0, 'rank': 2}, {'member': 'member_8', 'score': 8.0, 'rank': 3}, {'member': 'member_7', 'score': 7.0, 'rank': 4}, {'member': 'member_6', 'score': 6.0, 'rank': 5}, {'member': 'member_5', 'score': 5.0, 'rank': 6}, {'member': 'member_4', 'score': 4.0, 'rank': 7}, {'member': 'member_3', 'score': 3.0, 'rank': 8}, {'member': 'member_2', 'score': 2.0, 'rank': 9}, {'member': 'member_1', 'score': 1.0, 'rank': 10}]
        ```
        
        Add more members to your leaderboard:
        
        ```python
        for index in range(50, 96):
          highscore_lb.rank_member('member_%s' % index, index)
        
        highscore_lb.total_pages()
        3
        ```
        
        Get an "Around Me" leaderboard page for a given member, which pulls members above and below the given member:
        
        ```python
        highscore_lb.around_me('member_53')
        
        [{'member': 'member_65', 'score': 65.0, 'rank': 31}, {'member': 'member_64', 'score': 64.0, 'rank': 32}, {'member': 'member_63', 'score': 63.0, 'rank': 33}, {'member': 'member_62', 'score': 62.0, 'rank': 34}, {'member': 'member_61', 'score': 61.0, 'rank': 35}, {'member': 'member_60', 'score': 60.0, 'rank': 36}, {'member': 'member_59', 'score': 59.0, 'rank': 37}, {'member': 'member_58', 'score': 58.0, 'rank': 38}, {'member': 'member_57', 'score': 57.0, 'rank': 39}, {'member': 'member_56', 'score': 56.0, 'rank': 40}, {'member': 'member_55', 'score': 55.0, 'rank': 41}, {'member': 'member_54', 'score': 54.0, 'rank': 42}, {'member': 'member_53', 'score': 53.0, 'rank': 43}, {'member': 'member_52', 'score': 52.0, 'rank': 44}, {'member': 'member_51', 'score': 51.0, 'rank': 45}, {'member': 'member_50', 'score': 50.0, 'rank': 46}, {'member': 'member_10', 'score': 10.0, 'rank': 47}, {'member': 'member_9', 'score': 9.0, 'rank': 48}, {'member': 'member_8', 'score': 8.0, 'rank': 49}, {'member': 'member_7', 'score': 7.0, 'rank': 50}, {'member': 'member_6', 'score': 6.0, 'rank': 51}, {'member': 'member_5', 'score': 5.0, 'rank': 52}, {'member': 'member_4', 'score': 4.0, 'rank': 53}, {'member': 'member_3', 'score': 3.0, 'rank': 54}, {'member': 'member_2', 'score': 2.0, 'rank': 55}]
        ```
        
        Get rank and score for an arbitrary list of members (e.g. friends) from the leaderboard:
        
        ```python
        highscore_lb.ranked_in_list(['member_1', 'member_62', 'member_67'])
        
        [{'member': 'member_1', 'score': 1.0, 'rank': 56}, {'member': 'member_62', 'score': 62.0, 'rank': 34}, {'member': 'member_67', 'score': 67.0, 'rank': 29}]
        ```
        
        Retrieve members from the leaderboard in a given score range:
        
        ```python
        highscore_lb.members_from_score_range(4, 19)
        
        [{'member': 'member_10', 'score': 10.0, 'rank': 47}, {'member': 'member_9', 'score': 9.0, 'rank': 48}, {'member': 'member_8', 'score': 8.0, 'rank': 49}, {'member': 'member_7', 'score': 7.0, 'rank': 50}, {'member': 'member_6', 'score': 6.0, 'rank': 51}, {'member': 'member_5', 'score': 5.0, 'rank': 52}, {'member': 'member_4', 'score': 4.0, 'rank': 53}]
        ```
        
        Retrieve a single member from the leaderboard at a given position:
        
        ```python
        highscore_lb.member_at(4)
        
        {'member': 'member_92', 'score': 92.0, 'rank': 4}
        ```
        
        Retrieve a range of members from the leaderboard within a given rank range:
        
        ```python
        highscore_lb.members_from_rank_range(1, 5)
        
        [{'member': 'member_95', 'score': 95.0, 'rank': 1}, {'member': 'member_94', 'score': 94.0, 'rank': 2}, {'member': 'member_93', 'score': 93.0, 'rank': 3}, {'member': 'member_92', 'score': 92.0, 'rank': 4}, {'member': 'member_91', 'score': 91.0, 'rank': 5}]
        ```
        
        ## Performance Metrics
        
        You can view [performance metrics](https://github.com/agoragames/leaderboard#performance-metrics) for the 
        leaderboard library at the original Ruby library's page.
        
        ## Ports
        
        The following ports have been made of the [leaderboard gem](https://github.com/agoragames/leaderboard).
        
        * Java: https://github.com/agoragames/java-leaderboard
        * NodeJS: https://github.com/omork/node-leaderboard
        * PHP: https://github.com/agoragames/php-leaderboard
        * Scala: https://github.com/agoragames/scala-leaderboard
        
        ## Contributing to leaderboard
        
        * Check out the latest master to make sure the feature hasn't been implemented or the bug hasn't been fixed yet
        * Check out the issue tracker to make sure someone already hasn't requested it and/or contributed it
        * Fork the project
        * Start a feature/bugfix branch
        * Commit and push until you are happy with your contribution
        * Make sure to add tests for it. This is important so I don't break it in a future version unintentionally.
        * Please try not to mess with the Rakefile, version, or history. If you want to have your own version, or is otherwise necessary, that is fine, but please isolate to its own commit so I can cherry-pick around it.
        
        ## Copyright
        
        Copyright (c) 2011-2012 Ola Mork, David Czarnecki. See LICENSE.txt for further details.
        
        
Keywords: python,redis,leaderboard
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Operating System :: POSIX
Classifier: Topic :: Communications
Classifier: Topic :: System :: Distributed Computing
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
