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|
%global _empty_manifest_terminate_build 0
Name: python-generic-parser
Version: 1.1.1
Release: 1
Summary: A parser for arguments and config-files that also allows direct python input.
License: MIT
URL: https://github.com/pylhc/generic_parser
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ba/08/56ca64678aaa2d3ece1abda3147dcbb7a685aebf57cc3f9ca08182cb88ab/generic_parser-1.1.1.tar.gz
BuildArch: noarch
Requires: python3-sphinx
Requires: python3-travis-sphinx
Requires: python3-sphinx-rtd-theme
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-hypothesis
Requires: python3-attrs
%description
# Generic Parser
[](https://github.com/pylhc/generic_parser/actions?query=workflow%3A%22Cron+Testing%22)
[](https://codeclimate.com/github/pylhc/generic_parser)
[](https://codeclimate.com/github/pylhc/generic_parser)
<!-- [](https://github.com/pylhc/generic_parser/) -->
[](https://pypi.org/project/generic_parser/)
[](https://github.com/pylhc/generic_parser/)
[](https://anaconda.org/conda-forge/generic_parser)
[](https://zenodo.org/badge/latestdoi/201085116)
The package provides an all-around parser for arguments and config-files.
The creation of the arguments is similar to the ones from argparse, but the input can then be either from command line, a config file or directly from python.
See the [API documentation](https://pylhc.github.io/generic_parser/) for details.
## Installing
Installation is easily done via `pip`. The package is then used as `generic_parser`.
```bash
python -m pip install generic-parser
```
One can also install in a `conda` environment via the `conda-forge` channel with:
```bash
conda install -c conda-forge generic_parser
```
## Example Usage:
Content of `myscript.py`
```python
from generic_parser import entrypoint, EntryPointParameters
def get_arguments():
args = EntryPointParameters()
args.add_parameter(name="first",
flags=["-f", "--first"],
help="First Parameter, an int",
choices=[1, 2, 3],
type=int,
required=True,
)
args.add_parameter(name="second",
flags=["-s", "--second"],
help="Second Parameter, a string",
type=str,
default="default",
required=False,
)
return args
@entrypoint(get_arguments())
def main(opt, unknown):
print(opt.first == 1)
print(opt.second == "default")
if __name__ == '__main__':
main()
```
### Commandline
Calling that script with ``python myscript.py -f 1 -s "test"`` will result in:
```
True
False
```
It is assumed, that this is the standard mode of operation for your functions.
#### Config File
Further, one can also use a config file `config.ini` containing:
```
[Section]
first = 2
second = "Hello"
```
and run the script with `python myscript.py --entry_cfg config.ini` leading to
```
False
False
```
Config files are very useful if you want to rerun your code with the same or similar parameters.
Especially the declaration of a `[DEFAULT]` section can be helpful.
For further information about config files, check the python [Config Parser](https://docs.python.org/3/library/configparser.html).
### Python
Or call the function directly from python code:
```python
if __name__ == '__main__':
main(first=1, second="World")
```
```
True
False
```
This is incredibly helpful if one wants to write python-wrappers around entrypoint-functions,
and does not want to resort to commandline calls from python.
Note that also in this case all variables are validated, courtesy of the `dict_parser`.
`dict_parser` provides even multi-level dictionary checking functionality,
which is not used in the `Entrypoint`, but can be handy in other use-cases.
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
%package -n python3-generic-parser
Summary: A parser for arguments and config-files that also allows direct python input.
Provides: python-generic-parser
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-generic-parser
# Generic Parser
[](https://github.com/pylhc/generic_parser/actions?query=workflow%3A%22Cron+Testing%22)
[](https://codeclimate.com/github/pylhc/generic_parser)
[](https://codeclimate.com/github/pylhc/generic_parser)
<!-- [](https://github.com/pylhc/generic_parser/) -->
[](https://pypi.org/project/generic_parser/)
[](https://github.com/pylhc/generic_parser/)
[](https://anaconda.org/conda-forge/generic_parser)
[](https://zenodo.org/badge/latestdoi/201085116)
The package provides an all-around parser for arguments and config-files.
The creation of the arguments is similar to the ones from argparse, but the input can then be either from command line, a config file or directly from python.
See the [API documentation](https://pylhc.github.io/generic_parser/) for details.
## Installing
Installation is easily done via `pip`. The package is then used as `generic_parser`.
```bash
python -m pip install generic-parser
```
One can also install in a `conda` environment via the `conda-forge` channel with:
```bash
conda install -c conda-forge generic_parser
```
## Example Usage:
Content of `myscript.py`
```python
from generic_parser import entrypoint, EntryPointParameters
def get_arguments():
args = EntryPointParameters()
args.add_parameter(name="first",
flags=["-f", "--first"],
help="First Parameter, an int",
choices=[1, 2, 3],
type=int,
required=True,
)
args.add_parameter(name="second",
flags=["-s", "--second"],
help="Second Parameter, a string",
type=str,
default="default",
required=False,
)
return args
@entrypoint(get_arguments())
def main(opt, unknown):
print(opt.first == 1)
print(opt.second == "default")
if __name__ == '__main__':
main()
```
### Commandline
Calling that script with ``python myscript.py -f 1 -s "test"`` will result in:
```
True
False
```
It is assumed, that this is the standard mode of operation for your functions.
#### Config File
Further, one can also use a config file `config.ini` containing:
```
[Section]
first = 2
second = "Hello"
```
and run the script with `python myscript.py --entry_cfg config.ini` leading to
```
False
False
```
Config files are very useful if you want to rerun your code with the same or similar parameters.
Especially the declaration of a `[DEFAULT]` section can be helpful.
For further information about config files, check the python [Config Parser](https://docs.python.org/3/library/configparser.html).
### Python
Or call the function directly from python code:
```python
if __name__ == '__main__':
main(first=1, second="World")
```
```
True
False
```
This is incredibly helpful if one wants to write python-wrappers around entrypoint-functions,
and does not want to resort to commandline calls from python.
Note that also in this case all variables are validated, courtesy of the `dict_parser`.
`dict_parser` provides even multi-level dictionary checking functionality,
which is not used in the `Entrypoint`, but can be handy in other use-cases.
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
%package help
Summary: Development documents and examples for generic-parser
Provides: python3-generic-parser-doc
%description help
# Generic Parser
[](https://github.com/pylhc/generic_parser/actions?query=workflow%3A%22Cron+Testing%22)
[](https://codeclimate.com/github/pylhc/generic_parser)
[](https://codeclimate.com/github/pylhc/generic_parser)
<!-- [](https://github.com/pylhc/generic_parser/) -->
[](https://pypi.org/project/generic_parser/)
[](https://github.com/pylhc/generic_parser/)
[](https://anaconda.org/conda-forge/generic_parser)
[](https://zenodo.org/badge/latestdoi/201085116)
The package provides an all-around parser for arguments and config-files.
The creation of the arguments is similar to the ones from argparse, but the input can then be either from command line, a config file or directly from python.
See the [API documentation](https://pylhc.github.io/generic_parser/) for details.
## Installing
Installation is easily done via `pip`. The package is then used as `generic_parser`.
```bash
python -m pip install generic-parser
```
One can also install in a `conda` environment via the `conda-forge` channel with:
```bash
conda install -c conda-forge generic_parser
```
## Example Usage:
Content of `myscript.py`
```python
from generic_parser import entrypoint, EntryPointParameters
def get_arguments():
args = EntryPointParameters()
args.add_parameter(name="first",
flags=["-f", "--first"],
help="First Parameter, an int",
choices=[1, 2, 3],
type=int,
required=True,
)
args.add_parameter(name="second",
flags=["-s", "--second"],
help="Second Parameter, a string",
type=str,
default="default",
required=False,
)
return args
@entrypoint(get_arguments())
def main(opt, unknown):
print(opt.first == 1)
print(opt.second == "default")
if __name__ == '__main__':
main()
```
### Commandline
Calling that script with ``python myscript.py -f 1 -s "test"`` will result in:
```
True
False
```
It is assumed, that this is the standard mode of operation for your functions.
#### Config File
Further, one can also use a config file `config.ini` containing:
```
[Section]
first = 2
second = "Hello"
```
and run the script with `python myscript.py --entry_cfg config.ini` leading to
```
False
False
```
Config files are very useful if you want to rerun your code with the same or similar parameters.
Especially the declaration of a `[DEFAULT]` section can be helpful.
For further information about config files, check the python [Config Parser](https://docs.python.org/3/library/configparser.html).
### Python
Or call the function directly from python code:
```python
if __name__ == '__main__':
main(first=1, second="World")
```
```
True
False
```
This is incredibly helpful if one wants to write python-wrappers around entrypoint-functions,
and does not want to resort to commandline calls from python.
Note that also in this case all variables are validated, courtesy of the `dict_parser`.
`dict_parser` provides even multi-level dictionary checking functionality,
which is not used in the `Entrypoint`, but can be handy in other use-cases.
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
%prep
%autosetup -n generic-parser-1.1.1
%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-generic-parser -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.1-1
- Package Spec generated
|