Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Discovering-Descriptors_ep.pdf
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Mariano Anaya
July 11, 2017
Programming
1
400
Discovering-Descriptors_ep.pdf
EuroPython 2017 - Tuesday 11th, July - 15:45
Room PythonAnywhere
Mariano Anaya
July 11, 2017
Tweet
Share
More Decks by Mariano Anaya
See All by Mariano Anaya
Demystifying Coroutines and Asynchronous Programming in Python
rmariano
1
190
Demystifying coroutines and asynchronous programming in Pyhon
rmariano
1
380
Exploring Generators & Coroutines
rmariano
1
830
Beyond Coverage
rmariano
0
200
Discovering Descriptors
rmariano
0
200
Clean Code in Python
rmariano
2
2.3k
Other Decks in Programming
See All in Programming
「接続」—パフォーマンスチューニングの最後の一手 〜点と点を結ぶ、その一瞬のために〜
kentaroutakeda
3
1.9k
Agentic AI: Evolution oder Revolution
mobilelarson
PRO
0
190
AI 開発合宿を通して得た学び
niftycorp
PRO
0
170
CS教育のDX AIによる育成の効率化
niftycorp
PRO
0
160
nuget-server - あなたが必要だったNuGetサーバー
kekyo
PRO
0
440
エンジニアの「手元の自動化」を加速するn8n 2026.02.27
symy2co
0
180
20260313 - Grafana & Friends Taipei #1 - Kubernetes v1.36 的開發雜記:那些困在 Alpha 加護病房太久的 Metrics
tico88612
0
230
車輪の再発明をしよう!PHP で実装して学ぶ、Web サーバーの仕組みと HTTP の正体
h1r0
2
380
AI Assistants for Your Angular Solutions
manfredsteyer
PRO
0
160
PHP でエミュレータを自作して Ubuntu を動かそう
m3m0r7
PRO
2
140
PHPで TLSのプロトコルを実装してみる
higaki_program
0
420
Reactive ❤️ Loom: A Forbidden Love Story
franz1981
2
150
Featured
See All Featured
Color Theory Basics | Prateek | Gurzu
gurzu
0
260
Collaborative Software Design: How to facilitate domain modelling decisions
baasie
0
170
We Have a Design System, Now What?
morganepeng
55
8k
Reflections from 52 weeks, 52 projects
jeffersonlam
356
21k
Kristin Tynski - Automating Marketing Tasks With AI
techseoconnect
PRO
0
200
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
1
430
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
77
Ten Tips & Tricks for a 🌱 transition
stuffmc
0
91
How to Grow Your eCommerce with AI & Automation
katarinadahlin
PRO
1
150
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
0
460
Why Your Marketing Sucks and What You Can Do About It - Sophie Logan
marketingsoph
0
120
Crafting Experiences
bethany
1
93
Transcript
Discovering Descriptors Mariano Anaya EuroPython - July 2017 rmariano rmarianoa
def “Learning about descriptors not only provides access to a
larger toolset, it creates a deeper understanding of how Python works and an appreciation for the elegance of its design”. - Raymond Hettinger
Introduction In general: >>> obj = DomainModel() >>> obj.x =
'value' >>> obj.x 'value'
Control Access to Data But what if… When doing “obj.x”
we could run arbitrary code?
Control Access to Data But what if… When doing “obj.x”
we could run arbitrary code? By another object.
Control Access to Data But what if… When doing “obj.x”
we could run arbitrary code? By another object (of a different class).
A First Look at Descriptors
Introduction Descriptors enable control over core operations (get, set, delete),
of an attribute in an object.
Descriptor Methods __get__(self, instance, owner) __set__(self, instance, value) __delete__(self, instance)
__set_name__(self, owner, name) * * Python 3.6
None
Types of Descriptors • Non-data descriptors (a.k.a “non-overriding”) ◦ Don’t
implement __set__ ◦ Instance attributes take precedence • Data descriptors (a.k.a. “overriding”) ◦ Implement __get__, __set__ ◦ Override instance’s __dict__
__get__ Problem: automatically format date values of other attributes. Two
classes: Descriptor + Managed class
Descriptor
__get__: Default Value class DateFormatter: FORMAT = "%Y-%m-%d %H:%M" def
__init__(self, name=None): self.name = name def __get__(self, instance, owner): if instance is None: return self date_value = getattr(instance, self.name) if date_value is None: return '' return date_value.strftime(self.FORMAT)
Managed Class
__get__: Managed Class class FileStat: """Stats of a file in
a virtual file system""" str_created_at = DateFormatter('created_at') str_updated_at = DateFormatter('updated_at') str_removed_at = DateFormatter() def __init__(self, fname, created, updated=None, removed=None): self.filename = fname self.created_at = created self.updated_at = updated self.removed_at = removed
>>> created = updated = datetime(2017, 6, 9, 11, 15,
19) >>> f1 = FileStat('/home/mariano/file1', created, updated) >>> f1.str_created_at '2017-06-09 11:15' >>> f1.str_updated_at '2017-06-09 11:15' >>> f1.str_removed_at ''
Resolution Order
>>> f1 = FileStat(...) >>> f1.str_created_at Statement f1.__dict__ { 'created_at':
... 'filename': '/home/...', 'removed_at': ..., 'updated_at': ... }
>>> f1 = FileStat(...) >>> f1.str_created_at Statement FileStat.__dict__ mappingproxy({'__dict__': ...,
'__doc__': "...", '__init__': ..., 'str_created_at': <DateFormatter at 0x..>, 'str_removed_at': <DateFormatter at 0x..>, 'str_updated_at': <DateFormatter at 0x..>})
>>> f1 = FileStat(...) >>> f1.str_created_at Statement >>> hasattr(FileStat.__dict__['str_created_at'], '__get__')
True
__get__: Syntax Sugar >>> f1 = FileStat(...) >>> f1.str_created_at Translates
into: FileStat.str_created_at.__get__(f1, FileStat)
__get__(self, instance, owner) When called like <class>.<descriptor> instance is None
>>> FileStat.str_created_at <__main__.DateFormatter object at 0x...> Access Through the Class
Name of the Descriptor
class FileStat: """Stats of a file in a virtual file
system""" str_created_at = DateFormatter('created_at') str_updated_at = DateFormatter('updated_at') str_removed_at = DateFormatter()
Before __set_name__ Some techniques to have an “automatic configuration”: Class
decorator or metaclass
__set_name__(self, owner, name) Called automatically with the name of the
attribute, on the LHS. class owner: name = Descriptor()
__set_name__ class DateFormatter: def __init__(self, name=None): self.name = name ...
def __set_name__(self, owner, name): if self.name is None: _, _, self.name = name.partition('_')
__set__ Problem: Given an attribute of an object, keep count
of how many times its value was changed.
Data Descriptor: __set__ Some strategies: 1. Properties (with setter) 2.
Override __setattr__() 3. Descriptors!
class TracedProperty: """Count how many times an attribute changed its
value""" def __set_name__(self, owner, name): self.name = name self.count_name = f'count_{name}' def __set__(self, instance, value): ...
class TracedProperty: ... def __set__(self, instance, value): try: current_value =
instance.__dict__[self.name] except KeyError: instance.__dict__[self.count_name] = 0 else: if current_value != value: instance.__dict__[self.count_name] += 1 instance.__dict__[self.name] = value
class Traveller: city = TracedProperty() country = TracedProperty() def __init__(self,
name): self.name = name
>>> tourist = Traveller('John Smith') >>> tourist.city = 'Barcelona' >>>
tourist.country = 'Spain' >>> tourist.count_city 0 >>> tourist.count_country 0 >>> tourist.city = 'Stockholm' >>> tourist.country = 'Sweden' >>> tourist.count_city 1 >>> tourist.count_country 1 >>> tourist.city = 'Gothenburg' >>> tourist.count_city 2 >>> tourist.count_country 1 >>> tourist.country = 'Sweden' >>> tourist.count_country 1
tourist = Traveller() tourist.city = 'Stockholm' Traveller.city.__set__(tourist, 'Stockholm') __set__: Syntax
sugar Translates to:
__delete__ Called when deleting an attribute by using the descriptor,
like: del <instance>.<descriptor>
__delete__ class ProtectedAttribute: """Attribute that is protected against deletion""" def
__set_name__(self, owner, name): self.name = name def __delete__(self, instance): raise AttributeError(f"Can't delete {self.name} for {instance!s}") def __set__(self, instance, value): ...
class ProtectedUser: username = ProtectedAttribute() def __init__(self, username, location): self.username
= username self.location = location def __str__(self): return f"{self.__class__.__name__}[{self.username}]"
>>> usr = ProtectedUser('jsmith', '127.0.0.1') >>> usr.username 'jsmith' >>> del
usr.username Traceback (most recent call last): ... AttributeError: Can't delete username for ProtectedUser[jsmith] >>> usr.location '127.0.0.1' >>> del usr.location >>> usr.location Traceback (most recent call last): ... AttributeError: 'ProtectedUser' object has no attribute 'location'
What makes a good descriptor?
What makes a good descriptor? The same thing that makes
any good Python object: consistency with Python itself (to be Pythonic).
Descriptors are deployed in the language infrastructure. • @property, @classmethod,
@staticmethod • Methods (functions) Descriptors in CPython
Functions are Descriptors They have a __get__ method. That’s why
they can work as instance methods! <function>.__get__ returns the function bound to an object.
class Class: def method(self, *args): return f'{self!s} got {args}' >>>
Class.__dict__ mappingproxy({'__dict__': ... 'method': <function Class.method>}) >>> isinstance(Class.__dict__['method'], types.FunctionType) True
>>> instance = Class() >>> instance.method('arg1', 'arg2') "instance got ('arg1',
'arg2')" Method Call >>> Class.method.__get__(instance, Class)('arg1', 'arg2') "instance got ('arg1', 'arg2')" It’s actually...
Extended Uses
Improve decorators that change the signature.
Apply to Functions & Methods as well Problem: A decorator
that changes the signature, has to work both for functions and methods. E.g. abstract away repeated code.
def resolver_function(root, args, context, info): helper = DomainObject(root, args, context,
info) ... helper.process() helper.task1() helper.task2() return helper.task1()
class DomainArgs: def __init__(self, func): self.func = func wraps(func)(self) def
__call__(self, root, args, context, info): helper = DomainObject(root, args, context, info) return self.func(helper) @DomainArgs def resolver_function(helper): helper.task1() ...
class ViewResolver: @DomainArgs def resolve_method(self, helper): response = helper.process() return
f"Method: {response}" Try to Decorate a Method
>>> vr1.resolve_method('root', 'args', 'context', 'info') ------------------------------------ TypeError Traceback (most recent
call last) 39 def __call__(self, root, args, context, info): 40 helper = DomainObject(root, args, context, info) ---> 41 return self.func(helper) 42 TypeError: resolve_method() missing 1 required positional argument: 'helper' Doesn’t handle self!
class DomainArgs: ... def __get__(self, instance, owner): mapped = self.func.__get__(instance,
owner) return self.__class__(mapped) >>> vr = ViewResolver() >>> vr.method_resolver('root', 'args', 'context', 'info') 'Method resolver: root, args, context, info' Fix: __get__
Closing Remarks
Implement the minimum required interface.
Use for general-purpose solutions.
Thanks! @rmarianoa