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A Python interface library that disallows function body content on interfaces and supports adaption.

Project description

pure_interface

A Python interface library that disallows function body content on interfaces and supports adaption.

Jump to the Quick Reference.

Features:
  • Prevents code in method bodies of an interface class

  • Ensures that method overrides have compatible signatures

  • Allows concrete implementations the flexibility to implement abstract properties as instance attributes.

  • Supports interface adaption.

  • Treats abc interfaces that do not include any implementation as a pure interface type. This means that class C(PureInterface, ABCInterface) will be a pure interface if the abc interface meets the no function body content criteria.

  • Supports optional duck-type checking for Interface.provided_by(a) and Interface.adapt(a)

  • Warns if provided_by did a duck-type check when inheritance would work.

  • Supports python 2.7 and 3.5+

A note on the name

The phrase pure interface applies only to the first design goal - a class that defines only an interface with no implementation is a pure interface. In every other respect the zen of ‘practicality beats purity’ applies.

Installation

You can install released versions of pure_interface using pip:

pip install pure_interface

or you can grab the source code from GitHub.

Defining a Pure Interface

For simplicity in these examples we assume that the entire pure_interface namespace has been imported

from pure_interface import *

To define an interface, simply inherit from the class PureInterface and leave all method bodies empty:

class IAnimal(PureInterface):
    @property
    def height(self):
        pass

    def speak(self, volume):
        pass

As PureInterface is a subtype of abc.ABC the abstractmethod and abstractproperty decorators work as expected. For convenience the abc module abstract decorators are included in the pure_interface namespace, and on Python 2.7 abstractclassmethod and abstractstaticmethod are also available.

However these decorators are optional as ALL methods and properties on a pure interface are abstract

IAnimal()
TypeError: Can't instantiate abstract class IAnimal with abstract methods height, speak

Including abstract decorators in your code can be useful for reminding yourself (and telling your IDE) that you need to override those methods. Another common way of informing an IDE that a method needs to be overridden is for the method to raise NotImplementedError. For this reason methods that just raise NotImplementedError are also considered empty.

Including code in a method will result in an InterfaceError being raised when the module is imported. For example:

class BadInterface(PureInterface):
    def method(self):
        print('hello')

InterfaceError: Function "method" is not empty

Concrete Implementations

Simply inheriting from a pure interface and writing a concrete class will result in an InterfaceError exception as pure_interface will assume you are creating a sub-interface. To tell pure_interface that a type should be concrete simply inherit from object as well (or anything else that isn’t a PureInterface). For example:

class Animal(object, IAnimal):
    def __init__(self, height):
        self._height = height

    @property
    def height(self):
        return self._height

    def speak(self, volume):
        print('hello')

Exception: Mixing a PureInterface class with an abc.ABC interface class that only defines abstract methods and properties that satisfy the empty method criteria will result in a type that is considered a pure interface.:

class ABCInterface(abc.ABC):
    @abstractmethod
    def foo(self):
        pass

class MyPureInterface(ABCInterface):
    def bar(self):
        pass

Concrete implementations may implement interface properties as normal attributes, provided that they are all set in the constructor:

class Animal2(object, IAnimal):
    def __init__(self, height):
        self.height = height

    def speak(self, volume):
        print('hello')

This can simplify implementations greatly when there are lots of properties on an interface.

Method overrides are checked for compatibility with the interface. This means that argument names must match exactly and that no new non-optional arguments are present in the override. This enforces that calling the method with interface parameters will aways work. For example, given the interface method:

def speak(self, volume):

Then these overrides will all fail the checks and raise an InterfaceError:

def speak(self):  # too few parameters
def speak(self, loudness):  # name does not match
def speak(self, volume, language):  # extra required argument

However new optional parameters are permitted:

def speak(self, volume, language='doggy speak')

Adaption

Registering Adapters

Adapters for an interface are registered with the adapts decorator or with the register_adapter function. Take for example an interface ISpeaker and a class Talker and an adapter class TalkerToSpeaker:

class ISpeaker(PureInterface):
    def speak(self, volume):
        pass

class Talker(object):
    def talk(self):
        return 'talk'

@adapts(Talker, ISpeaker)
class TalkerToSpeaker(object, ISpeaker):
    def __init__(self, talker):
        self._talker = talker

    def speak(self, volume):
        return self._talker.talk()

The adapts decorator call above is equivalent to:

register_adapter(TalkerToSpeaker, Talker, ISpeaker)

Adapter factory functions can be decorated too:

@adapts(Talker, ISpeaker)
def talker_to_speaker(talker):
    return TalkerToSpeaker(talker)

The decorated adapter (whether class for function) must be callable with a single parameter - the object to adapt.

Adapting Objects

The PureInterface.adapt method will adapt an object to the given interface such that Interface.provided_by is True or raise ValueError if no adapter could be found. For example:

speaker = ISpeaker.adapt(talker)
isinstance(speaker, ISpeaker)  --> True

If you want to get None rather than an exception then use:

speaker = ISpeaker.adapt_or_none(talker)

You can filter a list of objects returning those objects that provide an interface using filter_adapt(objects):

list(ISpeaker.filter_adapt([None, Talker(), a_speaker, 'text']) --> [TalkerToSpeaker, a_speaker]

By default the adaption functions will return an object which provides only the functions and properties specified by the interface. For example given the following implementation of the ISpeaker interface above:

class TopicSpeaker(ISpeaker):
    def __init__(self, topic):
        self.topic = topic

    def speak(self, volume):
        return 'lets talk about {} very {}'.format(self.topic, volume)

topic_speaker = TopicSpeaker('python')

Then:

speaker = ISpeaker.adapt(topic_speaker)
speaker is topic_speaker  --> False
speaker.topic --> AttributeError("ISpeaker interface has no attribute topic")

This is controlled by the optional interface_only parameter to adapt which defaults to True. Pass interface_only=False if you want the actual adapted object rather than a wrapper:

speaker = ISpeaker.adapt(topic_speaker, interface_only=False)
speaker is topic_speaker  --> True
speaker.topic --> 'Python'

Accessing the topic attribute on an ISpeaker may work for all current implementations of ISpeaker, but this code will likely break at some inconvenient time in the future.

Duck Type Checking

As interfaces are inherited, you can usually use isinstance(obj, MyInterface) to check if an interface is provided. An alternative to isinstance() is the PureInterface.provided_by(obj) classmethod which will fall back to duck-type checking if the instance is not an actual subclass. This can be controlled by the allow_implicit parameter which defaults to True. The duck-type checking does not check function signatures.:

class Parrot(object):
    def __init__(self):
        self._height = 43

    @property
    def height(self):
        return self._height

    def speak(self, volume):
        print('hello')

p = Parrot()
isinstance(p, IAnimal) --> False
IAnimal.provided_by(p) --> True
IAnimal.provided_by(p, allow_implicit=False) --> False

The duck-type checking makes working with data transfer objects (DTO’s) much easier.:

class IMyDataType(PureInterface):
    @property
    def thing(self):
        pass

class DTO(object):
    pass

d = DTO()
d.thing = 'hello'
IMyDataType.provided_by(d) --> True
e = DTO()
e.something_else = True
IMyDataType.provided_by(e) --> False

Adaption also supports duck typing by passing allow_implicit=True (but this is not the default):

speaker = ISpeaker.adapt(Parrot(), allow_implicit=True)
ISpeaker.provided_by(speaker)  --> True

When using provided_by() or adapt() with allow_implicit=True, a warning may be issued informing you that the duck-typed object should inherit the interface. The warning is only issued if the interface is implemented by the class (and not by instance attributes as in the DTO case above) and the warning is only issued once for each class, interface pair. For example:

s = ISpeaker.adapt(Parrot())
UserWarning: Class Parrot implements ISpeaker.
Consider inheriting ISpeaker or using ISpeaker.register(Parrot)

Interface Type Information

The pure_interface module provides 3 functions for returning information about interface types.

type_is_pure_interface(cls)

Return True if cls is a pure interface, False otherwise or if cls is not a class.

get_interface_method_names(interface)

Returns a frozen set of names of methods defined by the interface. If type_is_pure_interface(interface) returns False then an empty set is returned.

get_interface_property_names(interface)

Returns a frozen set of names of properties defined by the interface. If type_is_pure_interface(interface) returns False then an empty set is returned.

Development Flag

Much of the empty function and other checking is awesome whilst writing your code but ultimately slows down production code. For this reason the pure_interface module has an IS_DEVELOPMENT switch.:

IS_DEVELOPMENT = not hasattr(sys, 'frozen')

IS_DEVELOPMENT defaults to True if running from source and default to False if bundled into an executable by py2exe, cx_Freeze or similar tools.

If you manually change this flag it must be set before modules using the PureInterface type are imported or else the change will not have any effect.

If IS_DEVELOPMENT if False then:

  • Signatures of overriding methods are not checked

  • No warnings are issued by the adaption functions

  • The default value of interface_only is set to False, so that interface wrappers are not created.

PyContracts Integration

You can use pure_interface with PyContracts

Simply import the pure_contracts module and use the ContractInterface class defined there as you would the PureInterface class described above. For example:

from pure_contracts import ContractInterface
from contracts import contract

class ISpeaker(ContractInterface):
    @contract(volume=int, returns=unicode)
    def speak(self, volume):
        pass

Quick Reference

Classes

PureInterfaceType

Metaclass for defining pure interfaces.

Classes created with a metaclass of PureInterfaceType will have the following methods:

adapt (obj, allow_implicit=False, interface_only=None)

Adapts obj to this interface, possibly permitting implicit implementations. By default an object that provides the properties and methods defined by the interface and nothing else is returned. Raises ValueError if no adaption is possible

adapt_or_none (obj, allow_implicit=False, interface_only=None)

As per adapt() except returns None instead of raising a ValueError

can_adapt (obj, allow_implicit=False)

Returns True if adapt(obj, allow_implicit) will succeed

filter_adapt (objects, allow_implicit=False, interface_only=None)

Generates adaptions of each item in objects that provide this interface.

interface_only (implementation)

Returns a wrapper around implementation that provides the properties and methods defined by the interface and nothing else.

provided_by (obj, allow_implicit=True)

Returns True if obj provides this interface, possibly implicitly. Raises ValueError is the class is a concrete type.

PureInterface

Base class for defining interfaces.

Functions

adapts (from_type, to_interface)

Class or function decorator for declaring an adapter from from_type to to_interface.

register_adapter (adapter, from_type, to_interface)

Registers an adapter to convert instances of from_type to objects that provide to_interface for the to_interface.adapt() method.

type_is_pure_interface (cls)

Return True if cls is a pure interface

get_interface_method_names (cls)

Returns a frozen set of names of methods defined by the interface. If cls is not a interface type then an empty set is returned.

get_interface_property_names (cls)

Returns a frozen set of names of properties defined by the interface If cls is not a interface type then an empty set is returned.

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