lukasa/unstdlib.py

Unstandard Python library of useful and highly-reusable functions.

Unstandard Library for Python

Have you ever written code that you used in more than one project? Me too.

This is a compilation of highly-reusable code for Python.

Getting started

Install the latest release of unstdlib:

$ pip install unstdlib

Use it in your code:

from unstdlib import get_many, groupby_dict

# ...

user_id, sort_by, page_num = get_many(request.params, ['user_id'], optional=['sort_by', 'page_num'])

# ...
data_by_tags = groupby_dict(data, keyfunc=lambda o: o.tag)

for n in data_by_tags['news']:
    print n

Highlights

(TODO: Format this better and select the most useful ones.)

unstdlib.standard

• datetime_.iterate_date(start, stop=None, step=datetime.timedelta(days=1))
• datetime_.iterate_date_values(d, start_date=None, stop_date=None, default=0)
• datetime_.isoformat_as_datetime(s)
• datetime_.truncate_datetime(t, resolution)
• datetime_.now(timezone=None)
• dict_.get_many(d, required=[], optional=[], one_of=[])
• dict_.pop_many(d, keys, default=None)
• @exception_.convert_exception(from_exception, to_exception, *to_args, **to_kw)
• functools_.assert_hashable(*args, **kw)
• @functools_.memoized(fn=None, cache=None)
• @functools_.memoized_property(object)
• @functools_.deprecated(message, exception=PendingDeprecationWarning)
• list_.groupby_count(i, key=None, force_keys=None)
• list_.iterate(maybe_iter, unless=(basestring, dict))
• list_.is_iterable(maybe_iter, unless=(basestring, dict))
• list_.iterate_chunks(i, size=10)
• list_.iterate_items(dictish)
• list_.iterate_flatten(q)
• @list_.listify(fn=None, wrapper=list)
• string_.random_string(length=6, alphabet=string.letters+string.digits)
• string_.number_to_string(n, alphabet)
• string_.string_to_number(s, alphabet)
• string_.dollars_to_cents(s, allow_negative=False)
• string_.to_str(obj, encoding='utf-8', **encode_args)
• string_.to_unicode(obj, encoding='utf-8', fallback='latin1', **decode_args)
• string_.to_int(s, default=0)
• string_.format_int(n, singular=_Default, plural=_Default)
• string_.slugify(s, delimiter='-')
• type_.is_subclass(o, bases)
• os_.chdir(new_dir): like os.chdir, but also a context manager: with chdir("/tmp/"): pass

unstdlib.formencode

• validate(d, key, validator)
• validate_many(d, schema)

unstdlib.sqlalchemy

• enumerate_query_by_limit(q, limit=1000)

unstdlib.html

• get_cache_buster(src_path, method='importtime')
• literal(s)
• tag(tagname, content='', attrs=None)
• javascript_link(src_url, src_path=None, cache_bust=None, content='', extra_attrs=None)
• stylesheet_link(src_url, src_path=None, cache_bust=None, content='', extra_attrs=None)

Organization & Philosophy

This library includes code with no dependencies and code with dependencies. Only the no-dependency code will be imported by default. Each collection of code with a specific dependency is bundled under its own module (such as Django-specific code).

• unstdlib.standard contains code that does not require additional dependencies on top of Python 2.5.
• unstdlib.sqlalchemy contains code that is SQLAlchemy-specific.
• unstdlib.django (someday) contains code that is Django-specific.

We value simplicity and elegance over robustness and optimization. This library should serve as a good foundation for your own application-specific code instead of a complete framework. In other words, it is preferred to have a 2-line function that covers 80% of use cases than a 20-line function that covers 100% of the use cases. Unexpected behaviour on bad input is fine as long as expected usage is well documented.

Contributors

Forks are highly encouraged. Everyone should have a collection of code they commonly reuse. If you feel your code will be useful to others, make sure that it is conforming to the spirit of the library outlined in the Organization & Philosophy section and send over a pull request.

• Full list of contributors

License

(The MIT License)

Copyright 2011-2013 Andrey Petrov <[email protected]>

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.