function_class.py

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# function_class.py -- Library for making python classes from a set
#                      of functions.
#
# Copyright (C) 2008 ParIT Worker Co-operative <paritinfo@parit.ca>
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; either version 2 of
# the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, contact:
# Free Software Foundation           Voice:  +1-617-542-5942
# 51 Franklin Street, Fifth Floor    Fax:    +1-617-542-2652
# Boston, MA  02110-1301,  USA       gnu@gnu.org
#
# @author Mark Jenkins, ParIT Worker Co-operative <mark@parit.ca>
 
 
 
INSTANCE_ARGUMENT = "instance"
 
class ClassFromFunctions(object):
    """Inherit this class to give yourself a python class that wraps a set of
    functions that together constitute the methods of the class.
 
    The method functions must all have as a first argument an object
    holding the instance data. There must also be a function that
    returns a new instance of the class, the constructor.
 
    Your subclass must define
    _module - The module where the method functions, including the
    constructor can be found
    _new_instance - The name of a function that serves as a constructor,
    returning the instance data.
 
    To access the instance data, use the read-only property instance.
 
    To add some functions from _module as methods, call classmethods like
    add_method and add_methods_with_prefix.
    """
    def __new__(cls, *args, **kargs):
        # why reimplement __new__? Because later on we're going to
        # use new to avoid creating new instances when existing instances
        # already exist with the same __instance value, or equivalent __instance
        # values, where this is desirable...
        return super(ClassFromFunctions, cls).__new__(cls)
 
    def __init__(self, *args, **kargs):
        """Construct a new instance, using either the function
        self._module[self._new_instance] or using existing instance
        data. (specified with the keyword argument, instance)
 
        if instance argument is None it will be ignored and the
        constructor will be called to get a new instance
 
        Pass the arguments that should be passed on to
        self._module[self._new_instance]. Any arguments of that
        are instances of ClassFromFunctions will be switched with the instance
        data. (by calling the .instance property)
        """
        if INSTANCE_ARGUMENT in kargs and kargs[INSTANCE_ARGUMENT] is not None:
            inst = kargs[INSTANCE_ARGUMENT]
            # Unwrap if someone passes a wrapper object as instance data,
            # e.g. GncNumeric(instance=some_GncNumeric).  This can happen
            # when a method's return type is changed from a raw SWIG proxy
            # to a wrapper class and callers still re-wrap the result.
            if isinstance(inst, ClassFromFunctions):
                inst = inst.instance
            self.__instance = inst
        else:
            self.__instance = getattr(self._module, self._new_instance)(
                *process_list_convert_to_instance(args),
                **process_dict_convert_to_instance(kargs))
 
    def get_instance(self):
        """Get the instance data.
 
        You can also call the instance property
        """
        return self.__instance
 
    instance = property(get_instance)
 
    # CLASS METHODS
 
    @classmethod
    def add_method(cls, function_name, method_name):
        """! Add the function, method_name to this class as a method named name
 
        arguments:
        @param cls Class: class to add methods to
        @param function_name string: name of the function to add
        @param method_name string: name of the method that function will be called
 
        function will be wrapped by method_function"""
 
        def method_function(self, *meth_func_args, **meth_func_kargs):
            """! wrapper method for function
 
            arguments:
            @param self: FunctionClass instance. Will be turned to its instance property.
            @param *meth_func_args: arguments to be passed to function. All FunctionClass
                objects will be turned to their respective instances.
            @param **meth_func_kargs: keyword arguments to be passed to function. All
                FunctionClass objects will be turned to their respective instances."""
            return getattr(self._module, function_name)(
                self.instance,
                *process_list_convert_to_instance(meth_func_args),
                **process_dict_convert_to_instance(meth_func_kargs)
            )
 
        setattr(cls, method_name, method_function)
        setattr(method_function, "__name__", method_name)
        return method_function
 
    @classmethod
    def ya_add_classmethod(cls, function_name, method_name):
        """! Add the function, method_name to this class as a classmethod named name
 
        Taken from function_class and modified from add_method() to add classmethod
        instead of method and not to turn self argument to self.instance.
 
        arguments:
        @param cls Class: class to add methods to
        @param function_name string: name of the function to add
        @param method_name string: name of the classmethod that function will be called
 
        function will be wrapped by method_function"""
 
        def method_function(self, *meth_func_args, **meth_func_kargs):
            """! wrapper method for function
 
            arguments:
            @param self: FunctionClass instance.
            @param *meth_func_args: arguments to be passed to function. All FunctionClass
                objects will be turned to their respective instances.
            @param **meth_func_kargs: keyword arguments to be passed to function. All
                FunctionClass objects will be turned to their respective instances."""
            return getattr(self._module, function_name)(
                self,
                *process_list_convert_to_instance(meth_func_args),
                **process_dict_convert_to_instance(meth_func_kargs)
            )
 
        setattr(cls, method_name, classmethod(method_function))
        setattr(method_function, "__name__", method_name)
        return method_function
 
    @classmethod
    def ya_add_method(cls, function_name, method_name):
        """! Add the function, method_name to this class as a method named name
 
        Taken from function_class. Modified to not turn self to self.instance
        as add_method() does.
 
        arguments:
        @param cls Class: class to add methods to
        @param function_name string: name of the function to add
        @param method_name string: name of the method that function will be called
 
        function will be wrapped by method_function"""
 
        def method_function(self, *meth_func_args, **meth_func_kargs):
            """! wrapper method for function
 
            arguments:
            @param self: FunctionClass instance.
            @param *meth_func_args: arguments to be passed to function. All FunctionClass
                objects will be turned to their respective instances.
            @param **meth_func_kargs: keyword arguments to be passed to function. All
                FunctionClass objects will be turned to their respective instances."""
            return getattr(self._module, function_name)(
                self,
                *process_list_convert_to_instance(meth_func_args),
                **process_dict_convert_to_instance(meth_func_kargs)
            )
 
        setattr(cls, method_name, method_function)
        setattr(method_function, "__name__", method_name)
        return method_function
 
    @classmethod
    def add_methods_with_prefix(cls, prefix, exclude=[]):
        """Add a group of functions with the same prefix, exclude methods
        in array exclude.
        """
        for function_name, function_value, after_prefix in \
                extract_attributes_with_prefix(cls._module, prefix):
 
            if not (function_name in exclude):
                cls.add_method(function_name, after_prefix)
 
    @classmethod
    def add_constructor_and_methods_with_prefix(cls, prefix, constructor, exclude=[]):
        """Add a group of functions with the same prefix, and set the
        _new_instance attribute to prefix + constructor. Don't add methods
        in array exclude.
        """
        cls.add_methods_with_prefix(prefix, exclude=exclude)
        cls._new_instance = prefix + constructor
 
    @classmethod
    def decorate_functions(cls, decorator, *args):
        for function_name in args:
            setattr( cls, function_name,
                     decorator( getattr(cls, function_name) ) )
 
    @classmethod
    def decorate_method(cls, decorator, method_name, *args, **kargs):
        """! decorate method method_name of class cls with decorator decorator
 
        in difference to decorate_functions() this allows to provide additional
        arguments for the decorator function.
 
        arguments:
            @param cls: class
            @param decorator: function to decorate method
            @param method_name: name of method to decorate (string)
            @param *args: positional arguments for decorator
            @param **kargs: keyword arguments for decorator"""
        setattr(cls, method_name,
                    decorator(getattr(cls, method_name), *args, **kargs))
 
def method_function_returns_instance(method_function, cls):
    """A function decorator that is used to decorate method functions that
    return instance data, to return instances instead.
 
    You can't use this decorator with @, because this function has a second
    argument.
    """
    assert( 'instance' == INSTANCE_ARGUMENT )
    def new_function(*args, **kargs):
        kargs_cls = { INSTANCE_ARGUMENT : method_function(*args, **kargs) }
        if kargs_cls['instance'] == None:
            return None
        else:
            return cls( **kargs_cls )
 
    return new_function
 
def method_function_returns_instance_list(method_function, cls):
    def new_function(*args, **kargs):
        return [ cls( **{INSTANCE_ARGUMENT: item} )
                 for item in method_function(*args, **kargs) ]
    return new_function
 
def methods_return_instance_lists(cls, function_dict):
    for func_name, instance_name in iter(function_dict.items()):
        setattr(cls, func_name,
                method_function_returns_instance_list(
                getattr(cls, func_name), instance_name))
 
def default_arguments_decorator(function, *args, **kargs):
    """! Decorates a function to give it default, positional and keyword arguments
 
    mimics python behavior when setting defaults in function/method arguments.
    arguments can be set for positional or keyword arguments.
 
    kargs_pos contains positions of the keyword arguments.
    @exception A TypeError will be raised if an argument is set as a positional and keyword argument
    at the same time.
    @note It might be possible to get keyword argument positional information using
    introspection to avoid having to specify them manually
 
    a keyword argument default will be overwritten by a positional argument at the
    actual function call
 
    this function modifies the docstring of the wrapped function to reflect
    the defaults.
 
    You can't use this decorator with @, because this function has more
    than one argument.
 
    arguments:
    @param *args: optional positional defaults
    @param kargs_pos: dict with keyword arguments as key and their position in the argument list as value
    @param **kargs: optional keyword defaults
 
    @return new_function wrapping original function
    """
 
    def new_function(*function_args, **function_kargs):
        kargs_pos = {}
        if "kargs_pos" in kargs:
            kargs_pos = kargs.pop("kargs_pos")
        new_argset = list(function_args)
        new_argset.extend(args[len(function_args) :])
        new_kargset = {**kargs, **function_kargs}
        for karg_pos in kargs_pos:
            if karg_pos in new_kargset:
                pos_karg = kargs_pos[karg_pos]
                if pos_karg < len(new_argset):
                    new_kargset.pop(karg_pos)
 
        return function(*new_argset, **new_kargset)
 
    kargs_pos = {} if "kargs_pos" not in kargs else kargs["kargs_pos"]
    for karg_pos in kargs_pos:
        if karg_pos in kargs:
            pos_karg = kargs_pos[karg_pos]
            if pos_karg < len(args):
                raise TypeError(
                    "default_arguments_decorator() got multiple values for argument '%s'"
                    % karg_pos
                )
 
    if new_function.__doc__ is None:
        new_function.__doc__ = ""
    if len(args):
        firstarg = True
        new_function.__doc__ += "positional argument defaults:\n"
        for arg in args:
            if not firstarg:
                new_function.__doc__ += ", "
            else:
                new_function.__doc__ += "  "
                firstarg = False
            new_function.__doc__ += str(arg)
        new_function.__doc__ += "\n"
    if len(kargs):
        new_function.__doc__ += "keyword argument defaults:\n"
        for karg in kargs:
            if karg != "kargs_pos":
                new_function.__doc__ += (
                    "  " + str(karg) + " = " + str(kargs[karg]) + "\n"
                )
        if kargs_pos:
            new_function.__doc__ += "keyword argument positions:\n"
            for karg in kargs_pos:
                new_function.__doc__ += (
                    "  " + str(karg) + " is at pos " + str(kargs_pos[karg]) + "\n"
                )
    if len(args) or len(kargs):
        new_function.__doc__ += (
            "(defaults have been set by default_arguments_decorator method)"
        )
    return new_function
 
 
def return_instance_if_value_has_it(value):
    """Return value.instance if value is an instance of ClassFromFunctions,
    else return value
    """
    if isinstance(value, ClassFromFunctions):
        return value.instance
    else:
        return value
 
def process_list_convert_to_instance( value_list ):
    """Return a list built from value_list, where if a value is in an instance
    of ClassFromFunctions, we put value.instance in the list instead.
 
    Things that are not instances of ClassFromFunctions are returned to
    the new list unchanged.
    """
    return [ return_instance_if_value_has_it(value)
             for value in value_list ]
 
def process_dict_convert_to_instance(value_dict):
    """Return a dict built from value_dict, where if a value is in an instance
    of ClassFromFunctions, we put value.instance in the dict instead.
 
    Things that are not instances of ClassFromFunctions are returned to
    the new dict unchanged.
    """
    return {
        key: return_instance_if_value_has_it(value) for key, value in value_dict.items()
    }
 
 
def extract_attributes_with_prefix(obj, prefix):
    """Generator that iterates through the attributes of an object and
    for any attribute that matches a prefix, this yields
    the attribute name, the attribute value, and the text that appears
    after the prefix in the name
    """
    for attr_name, attr_value in iter(obj.__dict__.items()):
        if attr_name.startswith(prefix):
            after_prefix = attr_name[ len(prefix): ]
            yield attr_name, attr_value, after_prefix
 
def methods_return_instance(cls, function_dict):
    """Iterates through a dictionary of function name strings and instance names
    and sets the function to return the associated instance
    """
    for func_name, instance_name in iter(function_dict.items()):
        setattr(cls, func_name,
            method_function_returns_instance( getattr(cls, func_name), instance_name))