veils 0.2.1

Python Veil Objects

Veils

veils is a python implementation of a ruby veils package. Long story short, it provides convenient object decorators for data memoization.

Installation

pip install veils

Usage

from veils import veil

obj = veil(
    obj,
    methods={"__str__": "hello, world!", "foo": "42"}
)
str(obj)  # returns "hello, world!"
obj.foo()  # returns "42"

The methods __str__ and foo will return "Hello, world!" and "42" respectively until some other method is called and the veil is "pierced".

You can also use unpiercable decorator, which will never be pierced: a very good instrument for data memoization.

And it works the same way for asynchronous methods too

obj = veil(
    obj,
    async_methods={"foo": "42"}
)
await obj.foo()     # returns "42"

And also for properties

obj = veil(
    obj,
    props={"bar": "42"}
)

obj.bar     # equals "42"

This library also extends the original one with a caching decorator memo. Use it like this:

from veils import memo

obj = memo(
    obj,
    cacheable={"foo", "bar", "baz", "__str__"} 
    # 'cacheable' is a collection of methods (both regular and asynchronous) 
    # and properties to be cached
)

Advanced usage

The python implementations of veil is somewhat tricky due to the magic methods which are being accessed bypassing the __getattribute__ method. Therefore, this implementation, in this particular case, relies on metaclasses in order to define magic methods on the fly in the veil object so that they correspond to those defined in the object being wrapped.

veil and unpiercable are just shortcuts to VeilFactory(Veil).veil_of and VeilFactory(Unpiercable).veil_of.

In some advanced cases you may want a different list of magic methods to be transparent or proxied by a veil object. In oder to obtain such behavior you may create a custom veil factory like so: VeilFactory(Veil, proxied_dunders, naked_dunders). naked_dunders is a list of methods bypassing the veil. proxied_dunders is a list of methods to be veiled.