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python3-flask-wtf-decorators-0.1.2-0.7.20200715.7fa5a26.fc36.noarch
Flask-WTF-Decorators is easy to use. You can define a view that requires
validation.
from flask-wtf-decorators import FormValidator
form_validator = FormValidator()
@form_validator.validate_form(TestForm)
@app.route('/', methods=['GET', 'POST'])
def index(form):
pass
You can tell Flask-WTF-Decorators what to do when a form is illegal.
To do this you should provide a callback for error_handler.
@form_validator.error_handler
def error_handler(errors):
return jsonify({'errors': errors}), 400
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BastionLinux 36
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python3-flask-xml-rpc-0.1.2-25.fc36.noarch
Flask-XML-RPC adds XML-RPC support to Flask.
This way, you can provide simple APIs easily accessible from almost any
programming language.
documentation:
http://packages.python.org/Flask-XML-RPC
development version:
http://bitbucket.org/leafstorm/flask-xml-rpc/get/tip.gz#egg=Flask-XML-RPC-dev
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Core Linux
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BastionLinux 36
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python3-flask-xml-rpc-0.1.2-25.fc36.noarch
Flask-XML-RPC adds XML-RPC support to Flask.
This way, you can provide simple APIs easily accessible from almost any
programming language.
documentation:
http://packages.python.org/Flask-XML-RPC
development version:
http://bitbucket.org/leafstorm/flask-xml-rpc/get/tip.gz#egg=Flask-XML-RPC-dev
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Data Science
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BastionLinux 36
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python3-flask2-2.3.3-1.lbn36.noarch
Flask is called a “micro-framework” because the idea to keep the core
simple but extensible. There is no database abstraction layer, no form
validation or anything else where different libraries already exist
that can handle that. However Flask knows the concept of extensions
that can add this functionality into your application as if it was
implemented in Flask itself. There are currently extensions for object
relational mappers, form validation, upload handling, various open
authentication technologies and more.
Python 3 version.
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BastionLinux 36
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python3-flask2-2.3.3-1.lbn36.noarch
Flask is called a “micro-framework” because the idea to keep the core
simple but extensible. There is no database abstraction layer, no form
validation or anything else where different libraries already exist
that can handle that. However Flask knows the concept of extensions
that can add this functionality into your application as if it was
implemented in Flask itself. There are currently extensions for object
relational mappers, form validation, upload handling, various open
authentication technologies and more.
Python 3 version.
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Data Science
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BastionLinux 36
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python3-flexmock-0.10.2-2.lbn19.noarch
Flexmock is a testing library for Python that makes it easy to create mocks,
stubs and fakes. The API is inspired by a Ruby library of the same name, but
Python flexmock is not a clone of the Ruby version. It omits a number of
redundancies in the Ruby flexmock API, alters some defaults, and introduces
a number of Python-only features.
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BastionLinux 19
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python3-flit-3.8.0-1.lbn36.noarch
Flit is a simple way to put Python packages and modules on PyPI.
It tries to require less thought about packaging and help you avoid common
mistakes.
See Why use Flit? for
more about how it compares to other Python packaging tools.
Install
$ python3 -m pip install flit
Flit requires Python 3 and therefore needs to be installed using the Python 3
version of pip.
Python 2 modules can be distributed using Flit, but need to be importable on
Python 3 without errors.
Usage
Say you’re writing a module foobar — either as a single file foobar.py,
or as a directory — and you want to distribute it.
Make sure that foobar’s docstring starts with a one-line summary of what
the module is, and that it has a __version__:
"""An amazing sample package!"""
__version__ = "0.1"
Install flit if you don’t already have it:
python3 -m pip install flit
Run flit init in the directory containing the module to create a
pyproject.toml file. It will look something like this:
[build-system]
requires = ["flit_co
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BastionLinux 36
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python3-flit-core-3.12.0-1.lbn36.noarch
Distribution-building parts of Flit. See flit package for more information
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BastionLinux 36
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python3-flit-scm-1.7.0-5.lbn36.noarch
A PEP 518 build backend that uses setuptools_scm to generate a version file
from your version control system, then flit_core to build the package.
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Core Linux
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BastionLinux 36
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python3-flower-0.9.3-1.lbn25.noarch
Celery Flower Flower is a web based tool for monitoring and administrating
Celery clusters.Features - Real-time monitoring using Celery Events - Task
progress and history - Ability to show task details (arguments, start time,
runtime, and more) - Graphs and statistics- Remote Control - View worker status
and statistics - Shutdown and restart worker instances - Control worker pool
size and...
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Cloud Computing
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BastionLinux 25
