covador
=======
|travis| |coverage| |pyver|
.. |travis| image:: https://travis-ci.org/baverman/covador.svg?branch=master
:target: https://travis-ci.org/baverman/covador
.. |coverage| image:: https://img.shields.io/badge/coverage-100%25-brightgreen.svg
.. |pyver| image:: https://img.shields.io/badge/python-2.6%2C_2.7%2C_3.4%2C_3.5%2C_3.6%2C_3.7%2C_3.8%2C_pypy-blue.svg
Validation library for processing http endpoint arguments.
.. code:: python
from flask import Flask
from covador import split, opt
from covador.flask import query_string
app = Flask(__name__)
@app.route('/')
@query_string(foo=opt(split(int), []))
def csv_argument(foo):
return repr(foo)
# GET /?foo=1,2,3 -> [1, 2, 3]
if __name__ == '__main__':
app.run()
* Support for flask(0.x, 1.0.x, 1.1.x), django(1.x, 2.x), aiohttp(2.x, 3.x),
tornado(3.x, 4.x, 5.x, 6.x) and sanic(0.x, 18.x, 19.x).
* Simple creating of custom ``query_string``/``form``/``params``/``json_body``/``args`` wrappers.
* Multi dict support via item ``multi`` param.
* Multi dict keys support via item ``src`` param.
* Simple interface for custom validators/processors it's just a callable.
* Maps, typed Maps, Lists, Tuples, Enums.
* Validation chains: ``opt(default=[]) | split(separator=' ') | List(int) | (lambda it: it[:10])``
or more concise ``opt(split(int, separator=' '), []) | operator.itemgetter(slice(10))`` —
an optional argument of space separated integers and we need top 10 items from it and it
is empty by default.
* Literal schema: ``schema(foo=[{'boo': int}])``, validates ``{'foo': [{'boo': 10}, {'boo': 20}]}``.
* Bytes/unicode aware.
Raw data
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"author": "Anton Bobrov",
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"description": "covador\n=======\n\n|travis| |coverage| |pyver|\n\n.. |travis| image:: https://travis-ci.org/baverman/covador.svg?branch=master\n :target: https://travis-ci.org/baverman/covador\n\n.. |coverage| image:: https://img.shields.io/badge/coverage-100%25-brightgreen.svg\n\n.. |pyver| image:: https://img.shields.io/badge/python-2.6%2C_2.7%2C_3.4%2C_3.5%2C_3.6%2C_3.7%2C_3.8%2C_pypy-blue.svg\n\n\nValidation library for processing http endpoint arguments.\n\n.. code:: python\n\n from flask import Flask\n\n from covador import split, opt\n from covador.flask import query_string\n\n app = Flask(__name__)\n\n @app.route('/')\n @query_string(foo=opt(split(int), []))\n def csv_argument(foo):\n return repr(foo)\n\n # GET /?foo=1,2,3 -> [1, 2, 3]\n\n if __name__ == '__main__':\n app.run()\n\n\n* Support for flask(0.x, 1.0.x, 1.1.x), django(1.x, 2.x), aiohttp(2.x, 3.x),\n tornado(3.x, 4.x, 5.x, 6.x) and sanic(0.x, 18.x, 19.x).\n* Simple creating of custom ``query_string``/``form``/``params``/``json_body``/``args`` wrappers.\n* Multi dict support via item ``multi`` param.\n* Multi dict keys support via item ``src`` param.\n* Simple interface for custom validators/processors it's just a callable.\n* Maps, typed Maps, Lists, Tuples, Enums.\n* Validation chains: ``opt(default=[]) | split(separator=' ') | List(int) | (lambda it: it[:10])``\n or more concise ``opt(split(int, separator=' '), []) | operator.itemgetter(slice(10))`` \u2014\n an optional argument of space separated integers and we need top 10 items from it and it\n is empty by default.\n* Literal schema: ``schema(foo=[{'boo': int}])``, validates ``{'foo': [{'boo': 10}, {'boo': 20}]}``.\n* Bytes/unicode aware.\n\n\n",
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