Metadata-Version: 2.1
Name: pyproxypattern
Version: 0.0.1
Summary: My package description
Home-page: https://github.com/Python-Tools/pyproxypattern
Author: hsz
Author-email: hsz1273327@gmail.com
License: MIT License
Keywords: proxy
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown

# pyproxypattern

根据peewee的proxy做的单独的python对象代理模式.

## 特性

+ 提供一个相对通用的代理类`Proxy`
+ 提供用于检测代理对象类型的回调函数`attach_instance_check`
+ 提供在初始化代理对象后的回调函数注册器`attach_callback`,回调函数回按注册的顺序执行
+ 可以代理上下文对象,迭代器对象
+ 可以代理异步上下文对象,异步迭代器对象

## 安装

`pip install pyproxypattern`

## 使用

两种方式:

1. 直接使用`Proxy`的实例代理对象

    ```python
    class Test_B:
        def get2(self) -> int:
            return 2
    B = Test_B()
    proxy = Proxy()
    proxy.attach_instance_check(lambda x: isinstance(x, Test_B))
    proxy.initialize(B)
    proxy.get2() == 2
    ```

2. 将`Proxy`类作为父类构造一个更加负载的代理类,然后再用它的实例代理特定对象

    ```python
    class AredisProxy(Proxy):
        """aredis的代理类."""
        __slots__ = ('instance', "_callbacks", "_instance_check", "url")

        def __init__(self, url: Optional[str] = None, decode_responses: bool = True, **kwargs: Any) -> None:
            if url:
                instance = self.new_instance(url, decode_responses, **kwargs)
                super().__init__(instance)
            else:
                super().__init__()

        def new_instance(self, url: str, decode_responses: bool, **kwargs: Any) -> Any:
            self.url = url
            return StrictRedis.from_url(url, decode_responses=decode_responses, **kwargs)

        def initialize_from_url(self, url: str, *, decode_responses: bool = False, **kwargs: Any) -> None:
            """初始化."""
            instance = self.new_instance(url, decode_responses, **kwargs)
            self.initialize(instance)
    ```

# 0.0.1

项目创建
MIT License

Copyright (c) 2020 Python-Tools

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


