Metadata-Version: 1.1
Name: malaffinity
Version: 1.0.0
Summary: Calculate affinity between two MyAnimeList users
Home-page: https://github.com/erkghlerngm44/malaffinity
Author: erkghlerngm44
Author-email: erkghlerngm44@protonmail.com
License: MIT
Description: malaffinity
        ===========
        
        Calculate affinity between two MyAnimeList users
        
        What is this?
        -------------
        
        Calculate the affinity (Pearson's Correlation \* 100) between a "base"
        user and another user.
        
        This script is meant to be used in bulk, where one user (the "base")'s
        scores are compared against multiple people, but there's nothing
        stopping you from using this as a one-off.
        
        **In all files here, the "base" user refers to the user whose scores
        other scores will be compared to (and affinities to said scores
        calculated for). I don't have a better name to describe this, so please
        bear with me.**
        
        Install
        -------
        
        ::
        
            $ pip install malaffinity
        
        Alternatively, download this repo and run:
        
        ::
        
            $ python setup.py install
        
        Or copypasta the ``malaffinity`` directory to
        Python:raw-latex:`\site`-packages and install the
        `dependencies <#dependencies>`__ yourself.
        
        Dependencies
        ------------
        
        -  BeautifulSoup4
        -  Requests
        -  Numpy (for Scipy) (`Windows
           Wheel <http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy>`__)
        -  Scipy (`Windows
           Wheel <http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy>`__)
        
        These should be installed when you install this script, so no need to
        worry about them.
        
        Note that Scipy and Numpy don't play nice with some computers, depending
        on your OS and other stuff. If it won't work with PIP, just open up
        `Cloud9 <https://c9.io/>`__,
        `Codeanywhere <https://codeanywhere.com/>`__ or
        `Codenvy <https://codenvy.com/>`__ and try installing this there. You
        might need to run ``sudo pip install -U pip`` before doing anything,
        though.
        
        Usage
        -----
        
        1. Create an instance of the ``MALAffinity`` class, providing the param
           ``base_user``, and an optional ``round`` to it.
        
           -  The ``base_user`` is the username whose scores other scores will
              be compared to.
           -  Rounding of the final affinity is determined by the ``round``
              param. To round results, provide a number of decimal places to
              round to. For no rounding, specify ``False``
           -  *Note that the class can be initialised without the ``base_user``
              param, but a ``base_user`` **MUST** be passed to the ``init``
              function before any affinity calculations take place. (See
              `example 2 <#example-2>`__)*
        
        2. Calculate affinity between the "base user" and another user by
           calling the ``calculate_affinity`` function with the username of the
           person you wish to calculate affinity with.
        
           -  This will return a tuple, containing the affinity, and the number
              of shared rated anime.
        
        3. Calculate more affinities by repeating Step 2.
        
        Examples
        --------
        
        Obviously the module will be imported in all of the examples, but
        because I'm lazy, I won't write that out again and again.
        
        Using ``a`` as the name of the initialised class, because I can't think
        of a better name that won't shadow anything that already/will exist(s).
        
        Example 1
        ^^^^^^^^^
        
        **Basic usage**
        
        ::
        
            >>> a = malaffinity.MALAffinity("YOUR_USERNAME")
        
            >>> affinity = a.calculate_affinity("OTHER_USERNAME")
        
            >>> print(affinity)
            (79.00545465639877, 82)
        
        Example 2
        ^^^^^^^^^
        
        **Basic usage, but specifying a "base user" AFTER initialising the
        class**
        
        ::
        
            >>> a = malaffinity.MALAffinity()
        
            # This can be done anywhere as long as the place you're doing this from has access to `a`.
            >>> a.init("YOUR_USERNAME")
        
            >>> affinity = a.calculate_affinity("OTHER_USERNAME")
        
            >>> print(affinity)
            (79.00545465639877, 82)
        
        Example 3
        ^^^^^^^^^
        
        **Round affinities to two decimal places**
        
        ::
        
            >>> a = malaffinity.MALAffinity("YOUR_USERNAME", round=2)
        
            >>> affinity = a.calculate_affinity("OTHER_USERNAME")
        
            >>> print(affinity)
            (79.01, 82)
        
        Example 4
        ^^^^^^^^^
        
        **One-off affinity calculations**
        
        ::
        
            >>> affinity = malaffinity.calculate_affinity("YOUR_USERNAME", "OTHER_USERNAME")
        
            >>> print(affinity)
            (79.00545465639877, 82)
        
        *Don't use this if you're planning on calculating affinity again with
        one of the users you've specified when doing this. It's better to create
        an instance of the ``MALAffinity`` class with said user, and calculating
        affinity with the other user(s) that way. That instance will hold said
        users' scores, so they won't have to be retrieved again. See examples
        1-3*
        
        Handling exceptions
        -------------------
        
        Three types of exceptions can be raised while calculating affinities:
        
        -  ``NoAffinityError``: Raised when either the shared rated anime
           between the base user and another user is less than 10, or the other
           user does not have any rated anime.
        -  ``InvalidUsernameError``: Raised when username specified does not
           exist.
        -  ``MALRateLimitExceededError``: Raised when MAL's blocking your
           request, because you're going over their rate limit of one request
           every two seconds. Slow down and try again.
        
        Not much you can do about the first two, so you're best off giving up if
        you run into one of those. The third, however, rarely happens if you
        abide by the rate limit, but the following should happen in case it
        does: \* Halt the script for a few seconds. I recommend five. \* Try
        again. \* If you get roadblocked again, just give up. MAL obviously
        hates you.
        
        This can be achieved via the following example.
        
        ::
        
            try:
                affinity = a.calculate_affinity("OTHER_USERNAME")
        
            except malaffinity.MALRateLimitExceededError:
                time.sleep(5)
                
                try:
                    affinity = a.calculate_affinity("OTHER_USERNAME")
                except malaffinity.MALRateLimitExceededError:
                    # Hop over to next person. The next line depends on what your script is like.
                    # If this is in a loop, use `continue`, if in a function, `return`.
                    continue
        
            # Yes, this is too broad, but there's no point in typing out all of the exceptions.
            except:
                print("Can't calculate affinity for some reason.")
                continue
                
        
        No need to do all this if your script isn't automated.
        
        I'm thinking about hardcoding the rate limit handling in, but I'm
        worried about handling cases where MAL keeps blocking you - I don't want
        to run into infinite loops. I'll look into this one day.
        
        Feel free to use a loop though. Don't blame me if anything bad happens
        because of it.
        
        FAQ
        ---
        
        **Q: Why didn't you use Numpy? You won't need to use Scipy, so there's
        one less dependency to install...**
        
        .. figure:: https://i.imgur.com/r1o1lS6.jpg
           :alt: 
        
        So the correlation between two *exactly* identical bits of data is
        99.999...8%?
        
        Bullshit.
        
        Concerns, problems, fixes, feedback, yada yada
        ----------------------------------------------
        
        Contact me on
        `Reddit <https://www.reddit.com/message/compose/?to=erkghlerngm44>`__ or
        by `Email <mailto:erkghlerngm44@protonmail.com>`__, or create an
        `issue <https://github.com/erkghlerngm44/affinity-gatherer/issues>`__ or
        `pull
        request <https://github.com/erkghlerngm44/affinity-gatherer/pulls>`__.
        
        The email I specified isn't my main one, and this isn't my main Github
        account, so if you do use those services, send me a message on Reddit,
        notifying me, otherwise you'll probably receive a reply weeks/months
        after you contact me.
        
        Legal stuff
        -----------
        
        Licensed under MIT. See ```LICENSE`` <LICENSE>`__ for more info.
        
Keywords: affinity mal myanimelist
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
