%global _empty_manifest_terminate_build 0
Name:		python-Flask-Melodramatiq
Version:	1.0
Release:	1
Summary:	A Flask extension that adds support for the "dramatiq" task processing library
License:	MIT
URL:		https://github.com/epandurski/flask_melodramatiq
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/c3/f7/b4e4a2ae66f954cd4c3520488eb35a93d98e8f708dc443999ed6a604501d/Flask-Melodramatiq-1.0.tar.gz
BuildArch:	noarch


%description
**Flask-Melodramatiq** is a `Flask`_ extension that adds support for
the `Dramatiq`_ task processing library.
`Dramatiq`_ is a great library, and Flask-Melodramatiq tries hard not
to force you to change the way you interact with
it. Flask-Melodramatiq defines thin wrappers around the broker types
available in Dramatiq, so that all the power of Dramatiq's API remains
available to you.
For example::
  import dramatiq
  from flask import Flask
  from flask_melodramatiq import RabbitmqBroker
  app = Flask(__name__)
  broker = RabbitmqBroker(app)
  dramatiq.set_broker(broker)
  @dramatiq.actor
  def task():
      print('Snakes appreciate good theatrical preformace.')
or, if you prefer the Flask application factory pattern::
  import dramatiq
  from flask import Flask
  from flask_melodramatiq import RabbitmqBroker
  broker = RabbitmqBroker()
  dramatiq.set_broker(broker)
  @dramatiq.actor
  def task():
      print('Snakes appreciate good theatrical preformace.')
  def create_app():
      app = Flask(__name__)
      broker.init_app(app)
      return app
In those examples, the ``broker`` instance that we created (we call it
a "lazy broker") is a genuine `Dramatiq`_ broker, and can be used
anywhere where a "native" broker can be used. (It has
``dramatiq.brokers.rabbitmq.RabbitmqBroker`` as a superclass!)  Lazy
brokers are thin wrappers which add several important features:
1. They honor the settings in the Flask application configuration.
2. ``init_app`` can be called on them *before or after* the
   actors have been defined.
3. The Flask application context is correctly set during the execution
   of the tasks.
4. They add few convenience methods. (The ``Broker.actor`` decorator
   for example.)

%package -n python3-Flask-Melodramatiq
Summary:	A Flask extension that adds support for the "dramatiq" task processing library
Provides:	python-Flask-Melodramatiq
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-Flask-Melodramatiq
**Flask-Melodramatiq** is a `Flask`_ extension that adds support for
the `Dramatiq`_ task processing library.
`Dramatiq`_ is a great library, and Flask-Melodramatiq tries hard not
to force you to change the way you interact with
it. Flask-Melodramatiq defines thin wrappers around the broker types
available in Dramatiq, so that all the power of Dramatiq's API remains
available to you.
For example::
  import dramatiq
  from flask import Flask
  from flask_melodramatiq import RabbitmqBroker
  app = Flask(__name__)
  broker = RabbitmqBroker(app)
  dramatiq.set_broker(broker)
  @dramatiq.actor
  def task():
      print('Snakes appreciate good theatrical preformace.')
or, if you prefer the Flask application factory pattern::
  import dramatiq
  from flask import Flask
  from flask_melodramatiq import RabbitmqBroker
  broker = RabbitmqBroker()
  dramatiq.set_broker(broker)
  @dramatiq.actor
  def task():
      print('Snakes appreciate good theatrical preformace.')
  def create_app():
      app = Flask(__name__)
      broker.init_app(app)
      return app
In those examples, the ``broker`` instance that we created (we call it
a "lazy broker") is a genuine `Dramatiq`_ broker, and can be used
anywhere where a "native" broker can be used. (It has
``dramatiq.brokers.rabbitmq.RabbitmqBroker`` as a superclass!)  Lazy
brokers are thin wrappers which add several important features:
1. They honor the settings in the Flask application configuration.
2. ``init_app`` can be called on them *before or after* the
   actors have been defined.
3. The Flask application context is correctly set during the execution
   of the tasks.
4. They add few convenience methods. (The ``Broker.actor`` decorator
   for example.)

%package help
Summary:	Development documents and examples for Flask-Melodramatiq
Provides:	python3-Flask-Melodramatiq-doc
%description help
**Flask-Melodramatiq** is a `Flask`_ extension that adds support for
the `Dramatiq`_ task processing library.
`Dramatiq`_ is a great library, and Flask-Melodramatiq tries hard not
to force you to change the way you interact with
it. Flask-Melodramatiq defines thin wrappers around the broker types
available in Dramatiq, so that all the power of Dramatiq's API remains
available to you.
For example::
  import dramatiq
  from flask import Flask
  from flask_melodramatiq import RabbitmqBroker
  app = Flask(__name__)
  broker = RabbitmqBroker(app)
  dramatiq.set_broker(broker)
  @dramatiq.actor
  def task():
      print('Snakes appreciate good theatrical preformace.')
or, if you prefer the Flask application factory pattern::
  import dramatiq
  from flask import Flask
  from flask_melodramatiq import RabbitmqBroker
  broker = RabbitmqBroker()
  dramatiq.set_broker(broker)
  @dramatiq.actor
  def task():
      print('Snakes appreciate good theatrical preformace.')
  def create_app():
      app = Flask(__name__)
      broker.init_app(app)
      return app
In those examples, the ``broker`` instance that we created (we call it
a "lazy broker") is a genuine `Dramatiq`_ broker, and can be used
anywhere where a "native" broker can be used. (It has
``dramatiq.brokers.rabbitmq.RabbitmqBroker`` as a superclass!)  Lazy
brokers are thin wrappers which add several important features:
1. They honor the settings in the Flask application configuration.
2. ``init_app`` can be called on them *before or after* the
   actors have been defined.
3. The Flask application context is correctly set during the execution
   of the tasks.
4. They add few convenience methods. (The ``Broker.actor`` decorator
   for example.)

%prep
%autosetup -n Flask-Melodramatiq-1.0

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-Flask-Melodramatiq -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0-1
- Package Spec generated