proxied 1.0.1

Creator: bradpython12

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Description:

proxied 1.0.1

proxied
proxied package can be use to defer initialization of object.
Suppose we have:
__init__.py
from config import Config, load_config

config: Config = None

def init_app():
config = load_config()
If we try to import config in another file, i.e.
cool_staff.py
from . import config

...

init_staff(config.db_url)
We will end up importing None. So, we will be forced to
make import not at the top of the file.
Here comes the proxied package
__init__.py
from typing import Union
from proxy import Proxy
from config import Config, load_config

config: Union[Config, Proxy] = Proxy()

def init_app():
config.set_inner(load_config())
Now we can easily import config at the top of the file work with
proxy object as it was the object of type Config.


Installation
pip install proxied


Proxy
Proxy class can be initialized with inner or inner_constructor.
If inner_constructor is supplied, then it will be called once,
and the result will be cached.
If Proxy class is initialized without inner and inner_constructor,
the inner should be set later with a help of proxy.set_inner method.
from proxy import Proxy
proxy = Proxy()
proxy.set_inner({})
proxy["test_key"] = 10
It’s possible to set values for multiple proxies.
from proxy import Proxy
proxies = [Proxy(), Proxy(), Proxy(), Proxy()]
values = [10, 11, list(), dict()]
Proxy.set_proxies(proxies, values)
There is a check, if proxy is initialized with proxied value
from proxy import Proxy
proxy = Proxy()

if not proxy.initialized:
data = get_needed_data(...)
proxy.set_inner(data)


Example
from proxy import Proxy
class NotAvailableDuringImport:
@property
def data(self):
return "Not Available during import"


proxy: Union[NotAvailableDuringImport, Proxy] = Proxy()
proxy.set_inner(NotAvailableDuringImport)
assert proxy.data == "Not Available during import"


License
Copyright Oleksii Petrenko, 2020.
Distributed under the terms of the MIT license,
json_modify is free and open source software.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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