我有一个用Python编写的应用程序,它是由相当专业的观众(科学家)使用的。

我正在寻找一个好方法,使应用程序可扩展的用户,即脚本/插件架构。

I am looking for something extremely lightweight. Most scripts, or plugins, are not going to be developed and distributed by a third-party and installed, but are going to be something whipped up by a user in a few minutes to automate a repeating task, add support for a file format, etc. So plugins should have the absolute minimum boilerplate code, and require no 'installation' other than copying to a folder (so something like setuptools entry points, or the Zope plugin architecture seems like too much.)

是否已经有类似的系统存在,或者是否有项目实现了类似的方案,我应该看看想法/灵感?


当前回答

I arrived here looking for a minimal plugin architecture, and found a lot of things that all seemed like overkill to me. So, I've implemented Super Simple Python Plugins. To use it, you create one or more directories and drop a special __init__.py file in each one. Importing those directories will cause all other Python files to be loaded as submodules, and their name(s) will be placed in the __all__ list. Then it's up to you to validate/initialize/register those modules. There's an example in the README file.

其他回答

实际上,setuptools工作在一个“插件目录”下,下面的例子摘自项目文档: http://peak.telecommunity.com/DevCenter/PkgResources#locating-plugins

使用示例:

plugin_dirs = ['foo/plugins'] + sys.path
env = Environment(plugin_dirs)
distributions, errors = working_set.find_plugins(env)
map(working_set.add, distributions)  # add plugins+libs to sys.path
print("Couldn't load plugins due to: %s" % errors)

从长远来看,setuptools是一个更安全的选择,因为它可以加载插件而不会发生冲突或丢失需求。

另一个好处是插件本身可以使用相同的机制进行扩展,而无需原始应用程序关心它。

我的是,基本上,一个名为“plugins”的目录,主应用程序可以轮询,然后使用imp.load_module来拾取文件,寻找一个已知的入口点,可能是模块级配置参数,然后从那里开始。我使用文件监控的东西来实现一定程度的动态,其中插件是活跃的,但这是一个很好的拥有。

当然,任何出现的要求都是“我不需要(大而复杂的东西)X;我只是想要一些轻量级的东西”会冒着一次重新实现一个已发现需求的风险。但这并不是说你不能从中获得乐趣。

I arrived here looking for a minimal plugin architecture, and found a lot of things that all seemed like overkill to me. So, I've implemented Super Simple Python Plugins. To use it, you create one or more directories and drop a special __init__.py file in each one. Importing those directories will cause all other Python files to be loaded as submodules, and their name(s) will be placed in the __all__ list. Then it's up to you to validate/initialize/register those modules. There's an example in the README file.

看看这个对现有插件框架/库的概述,这是一个很好的起点。我很喜欢yapsy,但这取决于你的用例。

当我搜索Python Decorators时,发现了一个简单但有用的代码片段。它可能不符合你的需求,但非常鼓舞人心。

Scipy高级Python#插件注册系统

class TextProcessor(object):
    PLUGINS = []

    def process(self, text, plugins=()):
        if plugins is ():
            for plugin in self.PLUGINS:
                text = plugin().process(text)
        else:
            for plugin in plugins:
                text = plugin().process(text)
        return text

    @classmethod
    def plugin(cls, plugin):
        cls.PLUGINS.append(plugin)
        return plugin


@TextProcessor.plugin
class CleanMarkdownBolds(object):
    def process(self, text):
        return text.replace('**', '')

用法:

processor = TextProcessor()
processed = processor.process(text="**foo bar**", plugins=(CleanMarkdownBolds, ))
processed = processor.process(text="**foo bar**")