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%global _empty_manifest_terminate_build 0
Name:		python-CreateCloudMap
Version:	0.9.13
Release:	1
Summary:	Create a cloud map for xplanet using satellite images from the Dundee Satellite Receiving Station
License:	GPL3
URL:		https://github.com/jmozmoz/cloudmap
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/1f/5c/75ce03f468e0765120a307da2ccefafe10f7d1cce122de21ae653cbb49af/CreateCloudMap-0.9.13.tar.gz
BuildArch:	noarch


%description
Python script to create a cloud map for xplanet using satellite images from the
`Dundee Satellite Receiving Station, Dundee University, UK <http://www.sat.dundee.ac.uk/>`_.
This script can also be installed by pip from `pypi <https://pypi.python.org/pypi/CreateCloudMap>`_.
`xplanet <http://xplanet.sourceforge.net/>`_ can use a cloud map to make the earth look more pretty.
There is a free service which create one such cloud map per day. Due to a temporary unavailability
of that service this script `create_map` was developed to automatically download the necessary geostationary images
from the `Dundee Satellite Receiving Station, Dundee University, UK <http://www.sat.dundee.ac.uk/>`_.
To use this service you need an account there (which is free). Also a new cloud map can be created every three hours.
Set your login information in the configuration file (default name for UNIX-like systems: ``$HOME/.CreateCloudMap/CreateCloudMap.ini``, for Windows: ``%HOME%\.CreateCloudMap\CreateCloudMap.ini``)::
  [Download]
  username = user
  password = secret
  tempdir = images
  # Use one of the following for resolution: low, medium, high
  resolution = medium
  purge = false
  [xplanet]
  destinationdir = xplanet/images
  destinationfile = clouds_2048.jpg
  width = 2048
  height = 1024
  [processing]
  nprocs = 1
  # use either pyresample or cartopy
  projection = pyresample
If the configuration file already exists, a new version is copied to ``CreateCloudMap.ini.new`` to not overwrite the login data.
The old config file should work after an update, because default values are used for
newly introduced options.
``tempdir`` specifies the directory where the downloaded images (and if enabled by the command line
switch ``--debug`` or ``-d``) intermediate debug images are stored. ``destinationdir`` specifies the directory where
the output ``destinationfile`` is saved.
``resolution`` can be set to ``low``, ``medium`` or ``high`` to determine the resolution
of the downloaded satellite images.
If ``purge`` is set to true old satellite images will be deleted which are not
used to draw the current cloud map.
``width`` and ``height`` set the dimensions of the cloud map in ``destinationfile``.
``nprocs`` specifies the number of processors to be used for the processing of the
satellite images. If this number is larger than 1 the multiprocessing library
will be used to create separate processes communicating sending back their
results by queues.
``projection`` specifies the Python library used for projecting the geostationary
images onto a flat map. Possible values are ``pyresample`` and ``cartopy``.
``pyresample`` is the standard value and this library is set as dependency, so
it is installed during the installation of ``CreateCloudMap`` (if pip is used to
install it). If ``cartopy`` is used, this library must be installed manually.
``cartopy`` is (currently much) slower than ``pyresample``.
To see all command line options of the script use ``--help``::
  $ create_map --help
  usage: create_map [-h] [-d] [-c FILE] [-m MAX_AGE] [-f]
  optional arguments:
    -h, --help            show this help message and exit
    -d, --debug           store intermediate results
    -c FILE, --conf_file FILE
                          Specify config file
    -m MAX_AGE, --max_age MAX_AGE
                          Maximal age of satellite images to download
    -f, --force           Force to recreate cloud map
Dependencies
To automatically install ``cartopy`` use the following command line for pip::
  pip install CreateCloudMap[cartopy]
For the debug output to work with the ``pyresample`` projection the
libraries matplotlib and basemap have to be installed. This can be done either
manually or by giving the extra requirement option ``[debug_pyresample]``
when using pip::
  pip install CreateCloudMap[debug_pyresample]
For the debug output to work with the ``cartopy`` projection the
library matplotlib is necessary. It can be automatically installed by using
pip::
  pip install CreateCloudMap[cartopy,debug_cartopy]
(So if no extra dependency is given the pyresample library will be installed
(if it has not been already installed) and no debug output is possible)
References
A nice description of the concepts forming the basis of this program can be found
at `this blog post <https://apollo.open-resource.org/mission:log:2014:06:17:new-fresh-global-cloudmap-distribution-service-xplanet>`_.

%package -n python3-CreateCloudMap
Summary:	Create a cloud map for xplanet using satellite images from the Dundee Satellite Receiving Station
Provides:	python-CreateCloudMap
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-CreateCloudMap
Python script to create a cloud map for xplanet using satellite images from the
`Dundee Satellite Receiving Station, Dundee University, UK <http://www.sat.dundee.ac.uk/>`_.
This script can also be installed by pip from `pypi <https://pypi.python.org/pypi/CreateCloudMap>`_.
`xplanet <http://xplanet.sourceforge.net/>`_ can use a cloud map to make the earth look more pretty.
There is a free service which create one such cloud map per day. Due to a temporary unavailability
of that service this script `create_map` was developed to automatically download the necessary geostationary images
from the `Dundee Satellite Receiving Station, Dundee University, UK <http://www.sat.dundee.ac.uk/>`_.
To use this service you need an account there (which is free). Also a new cloud map can be created every three hours.
Set your login information in the configuration file (default name for UNIX-like systems: ``$HOME/.CreateCloudMap/CreateCloudMap.ini``, for Windows: ``%HOME%\.CreateCloudMap\CreateCloudMap.ini``)::
  [Download]
  username = user
  password = secret
  tempdir = images
  # Use one of the following for resolution: low, medium, high
  resolution = medium
  purge = false
  [xplanet]
  destinationdir = xplanet/images
  destinationfile = clouds_2048.jpg
  width = 2048
  height = 1024
  [processing]
  nprocs = 1
  # use either pyresample or cartopy
  projection = pyresample
If the configuration file already exists, a new version is copied to ``CreateCloudMap.ini.new`` to not overwrite the login data.
The old config file should work after an update, because default values are used for
newly introduced options.
``tempdir`` specifies the directory where the downloaded images (and if enabled by the command line
switch ``--debug`` or ``-d``) intermediate debug images are stored. ``destinationdir`` specifies the directory where
the output ``destinationfile`` is saved.
``resolution`` can be set to ``low``, ``medium`` or ``high`` to determine the resolution
of the downloaded satellite images.
If ``purge`` is set to true old satellite images will be deleted which are not
used to draw the current cloud map.
``width`` and ``height`` set the dimensions of the cloud map in ``destinationfile``.
``nprocs`` specifies the number of processors to be used for the processing of the
satellite images. If this number is larger than 1 the multiprocessing library
will be used to create separate processes communicating sending back their
results by queues.
``projection`` specifies the Python library used for projecting the geostationary
images onto a flat map. Possible values are ``pyresample`` and ``cartopy``.
``pyresample`` is the standard value and this library is set as dependency, so
it is installed during the installation of ``CreateCloudMap`` (if pip is used to
install it). If ``cartopy`` is used, this library must be installed manually.
``cartopy`` is (currently much) slower than ``pyresample``.
To see all command line options of the script use ``--help``::
  $ create_map --help
  usage: create_map [-h] [-d] [-c FILE] [-m MAX_AGE] [-f]
  optional arguments:
    -h, --help            show this help message and exit
    -d, --debug           store intermediate results
    -c FILE, --conf_file FILE
                          Specify config file
    -m MAX_AGE, --max_age MAX_AGE
                          Maximal age of satellite images to download
    -f, --force           Force to recreate cloud map
Dependencies
To automatically install ``cartopy`` use the following command line for pip::
  pip install CreateCloudMap[cartopy]
For the debug output to work with the ``pyresample`` projection the
libraries matplotlib and basemap have to be installed. This can be done either
manually or by giving the extra requirement option ``[debug_pyresample]``
when using pip::
  pip install CreateCloudMap[debug_pyresample]
For the debug output to work with the ``cartopy`` projection the
library matplotlib is necessary. It can be automatically installed by using
pip::
  pip install CreateCloudMap[cartopy,debug_cartopy]
(So if no extra dependency is given the pyresample library will be installed
(if it has not been already installed) and no debug output is possible)
References
A nice description of the concepts forming the basis of this program can be found
at `this blog post <https://apollo.open-resource.org/mission:log:2014:06:17:new-fresh-global-cloudmap-distribution-service-xplanet>`_.

%package help
Summary:	Development documents and examples for CreateCloudMap
Provides:	python3-CreateCloudMap-doc
%description help
Python script to create a cloud map for xplanet using satellite images from the
`Dundee Satellite Receiving Station, Dundee University, UK <http://www.sat.dundee.ac.uk/>`_.
This script can also be installed by pip from `pypi <https://pypi.python.org/pypi/CreateCloudMap>`_.
`xplanet <http://xplanet.sourceforge.net/>`_ can use a cloud map to make the earth look more pretty.
There is a free service which create one such cloud map per day. Due to a temporary unavailability
of that service this script `create_map` was developed to automatically download the necessary geostationary images
from the `Dundee Satellite Receiving Station, Dundee University, UK <http://www.sat.dundee.ac.uk/>`_.
To use this service you need an account there (which is free). Also a new cloud map can be created every three hours.
Set your login information in the configuration file (default name for UNIX-like systems: ``$HOME/.CreateCloudMap/CreateCloudMap.ini``, for Windows: ``%HOME%\.CreateCloudMap\CreateCloudMap.ini``)::
  [Download]
  username = user
  password = secret
  tempdir = images
  # Use one of the following for resolution: low, medium, high
  resolution = medium
  purge = false
  [xplanet]
  destinationdir = xplanet/images
  destinationfile = clouds_2048.jpg
  width = 2048
  height = 1024
  [processing]
  nprocs = 1
  # use either pyresample or cartopy
  projection = pyresample
If the configuration file already exists, a new version is copied to ``CreateCloudMap.ini.new`` to not overwrite the login data.
The old config file should work after an update, because default values are used for
newly introduced options.
``tempdir`` specifies the directory where the downloaded images (and if enabled by the command line
switch ``--debug`` or ``-d``) intermediate debug images are stored. ``destinationdir`` specifies the directory where
the output ``destinationfile`` is saved.
``resolution`` can be set to ``low``, ``medium`` or ``high`` to determine the resolution
of the downloaded satellite images.
If ``purge`` is set to true old satellite images will be deleted which are not
used to draw the current cloud map.
``width`` and ``height`` set the dimensions of the cloud map in ``destinationfile``.
``nprocs`` specifies the number of processors to be used for the processing of the
satellite images. If this number is larger than 1 the multiprocessing library
will be used to create separate processes communicating sending back their
results by queues.
``projection`` specifies the Python library used for projecting the geostationary
images onto a flat map. Possible values are ``pyresample`` and ``cartopy``.
``pyresample`` is the standard value and this library is set as dependency, so
it is installed during the installation of ``CreateCloudMap`` (if pip is used to
install it). If ``cartopy`` is used, this library must be installed manually.
``cartopy`` is (currently much) slower than ``pyresample``.
To see all command line options of the script use ``--help``::
  $ create_map --help
  usage: create_map [-h] [-d] [-c FILE] [-m MAX_AGE] [-f]
  optional arguments:
    -h, --help            show this help message and exit
    -d, --debug           store intermediate results
    -c FILE, --conf_file FILE
                          Specify config file
    -m MAX_AGE, --max_age MAX_AGE
                          Maximal age of satellite images to download
    -f, --force           Force to recreate cloud map
Dependencies
To automatically install ``cartopy`` use the following command line for pip::
  pip install CreateCloudMap[cartopy]
For the debug output to work with the ``pyresample`` projection the
libraries matplotlib and basemap have to be installed. This can be done either
manually or by giving the extra requirement option ``[debug_pyresample]``
when using pip::
  pip install CreateCloudMap[debug_pyresample]
For the debug output to work with the ``cartopy`` projection the
library matplotlib is necessary. It can be automatically installed by using
pip::
  pip install CreateCloudMap[cartopy,debug_cartopy]
(So if no extra dependency is given the pyresample library will be installed
(if it has not been already installed) and no debug output is possible)
References
A nice description of the concepts forming the basis of this program can be found
at `this blog post <https://apollo.open-resource.org/mission:log:2014:06:17:new-fresh-global-cloudmap-distribution-service-xplanet>`_.

%prep
%autosetup -n CreateCloudMap-0.9.13

%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-CreateCloudMap -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.13-1
- Package Spec generated