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figs-0.1.2


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توضیحات

A towel wrapped ConfigParser API.
ویژگی مقدار
سیستم عامل -
نام فایل figs-0.1.2
نام figs
نسخه کتابخانه 0.1.2
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Shrikant Sharat
ایمیل نویسنده shrikantsharat.k@gmail.com
آدرس صفحه اصلی http://figs.sharats.me
آدرس اینترنتی https://pypi.org/project/figs/
مجوز MIT - http://mit.sharats.me
Figs ==== Figs is a library for reading *ini* like configuration files easily. Figs leverages the ``ConfigParser`` module from python's standard libraries. I personally don't like the ``ConfigParser`` API very much, so I wrote this. The idea is that the developer should have little overhead in thinking when using this library, i.e., an intuitive API. Usage ===== If you are familiar with ``PyYaml`` or the standard library's ``json`` modules, the following should be quite familiar to you. To load a configuration, use the ``load``/``loads`` functions. The following return the same:: >>> # Takes a filename >>> conf = figs.load('config.ini') >>> # or a file-like object >>> conf = figs.load(open('config.ini')) >>> # Takes a string to be parsed >>> conf = figs.loads('''\ [universe] answer = 42 is_active = yes status = expanding ''') And, to *dump* configuration:: >>> # Takes a filename >>> figs.dump(conf, 'config.ini') >>> # or a file-like object >>> figs.dump(conf, open('config.ini')) >>> # Dump to string >>> figs.dumps(conf) [universe] answer = 42 is_active = yes status = expanding >>> # You can also dump just a section >>> figs.dumps(conf.universe) answer = 42 is_active = yes status = expanding Those are the only functions in the figs module that you should be concerned with. Once you have the config object, how'd you use it? Surprise surprise! Anyway you feel comfortable :) Dictification ------------- I know, you just want a dict of properties from the config file and be done with it. Lets see if you can guess how this can be done?:: >>> # Returns a dict like {'section-name': <Section object>} >>> dict(conf) >>> # Returns a dict like {'key': <TypeableStr object>} >>> dict(conf.universe) You should keep in mind that ``dict`` on does *not* automatically do a ``dict`` on its Section objects. The ``TypeableStr`` class is a subclass of ``unicode`` with a few methods added (``as_bool``, ``as_int`` and ``as_float``). If you want a dict of dicts, though, you can get that too.:: >>> figs.as_dict(conf) >>> # or when loading >>> conf = figs.load('config.ini', as_dict=True) The ``loads`` method also takes the ``as_dict`` argument. Note that the ``as_dict`` *has* to be a keyword argument. Accesses -------- :: >>> conf.universe.answer u'42' >>> conf.universe.answer.as_int 42 >>> conf.universe.is_active u'yes' >>> conf.universe.is_active.as_bool True >>> conf.universe.status u'expanding' >>> conf.universe['status'] u'expanding' Similary to ``as_int`` as shown above, there are also ``as_bool`` (boolean conversion done similar to how ``ConfigParser.getboolean`` does) and ``as_float``. Check for presence ------------------ :: >>> 'universe' in conf True >>> 'multiverse' in conf False >>> 'answer' in conf.universe True >>> 'is_active' in conf.universe True >>> 'is-active' in conf.universe False Modifying configs ----------------- Set new options...:: >>> conf.universe.is_active = False >>> conf.universe.planet_maker = 'Magrathea' >>> conf.universe['earth-owners'] = 'mice' >>> figs.dumps(conf) [universe] answer = 42 is_active = false status = expanding planet_maker = Magrathea earth-owners = mice ...on new sections:: >>> conf.multiverse.is_active = True >>> figs.dumps(conf) [universe] answer = 42 is_active = false status = expanding [multiverse] is_active = true Deleting -------- The API is very boring isn't it?:: >>> del conf.universe.answer >>> del conf.multiverse Now what? ========= Well, if you have a life, get on with it. Seriously, there's nothing else to reading config files here. Meta ==== Author ------ Shrikant Sharat (http://sharats.me). `@sharat87`_ on twitter. .. _@sharat87: http://twitter.com/sharat87 License ------- MIT License (http://mit.sharats.me). Contributing ------------ Code is available at the `github repository`_. Clone. Modify. Send pull request. If the modification is fairly large, I prefer you open a `github issue`_ first to discuss it. .. _github repository: https://github.com/sharat87/figs .. _github issue: https://github.com/sharat87/figs/issues Changelog --------- 0.1.2 Move to github.


نحوه نصب


نصب پکیج whl figs-0.1.2:

    pip install figs-0.1.2.whl


نصب پکیج tar.gz figs-0.1.2:

    pip install figs-0.1.2.tar.gz