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|
%global _empty_manifest_terminate_build 0
Name: python-ramodels
Version: 21.2.5
Release: 1
Summary: Pydantic data models for OS2mo
License: MPL-2.0
URL: https://magenta.dk/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/6f/82/8655bb0127124f8a4c3bc219bb2d10c41c9ba562cf0de2430926596069ba/ramodels-21.2.5.tar.gz
BuildArch: noarch
Requires: python3-pydantic
Requires: python3-more-itertools
Requires: python3-dateutil
Requires: python3-mkdocstrings[python]
%description
<!--
SPDX-FileCopyrightText: Magenta ApS <https://magenta.dk>
SPDX-License-Identifier: MPL-2.0
-->
# MoLoRa Data Models
RAModels - MoLoRa data validation models powered by [pydantic](https://github.com/samuelcolvin/pydantic/#pydantic).
## Versioning
This project uses [Semantic Versioning](https://semver.org/) with the following strategy:
- MAJOR: Incompatible changes to existing data models
- MINOR: Backwards compatible updates to existing data models OR new models added
- PATCH: Backwards compatible bug fixes
## Authors
Magenta ApS <https://magenta.dk>
## License
- This project: [MPL-2.0](MPL-2.0.txt)
- Dependencies:
- pydantic: [MIT](MIT.txt)
This project uses [REUSE](https://reuse.software) for licensing. All licenses can be found in the [LICENSES folder](LICENSES/) of the project.
## Development
### Prerequisites
- [Poetry](https://github.com/python-poetry/poetry)
- [Pre-commit](https://github.com/pre-commit/pre-commit)
### Getting Started
1. Clone the repository:
`git clone git@git.magenta.dk:rammearkitektur/ra-data-models.git`
2. Install all dependencies:
`poetry install`
3. Set up pre-commit:
`pre-commit install`
### Running the tests
You use `poetry` and `pytest` to run the tests:
`poetry run pytest`
You can also run specific files
`poetry run pytest tests/<test_folder>/<test_file.py>`
and even use filtering with `-k`
`poetry run pytest -k "Manager"`
You can use the flags `-vx` where `v` prints the test & `x` makes the test stop if any tests fails (Verbose, X-fail)
### Pre-commit usage
Pre-commit must either be used via your virtual environment or globally.
If you want to pre-commit globally, the following extra dependencies are needed:
`pip install mypy pydantic`
### Models
## LoRa
`LoRa` implements the OIO standard version 1.1. The [standard](https://digitaliser.dk/resource/1569113) with
[specification](https://www.digitaliser.dk/resource/1569113/artefact/Specifikationafserviceinterfacefororganisation-OIO-Godkendt%5bvs.1.1%5d.pdf?artefact=true&PID=1569586)
%package -n python3-ramodels
Summary: Pydantic data models for OS2mo
Provides: python-ramodels
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-ramodels
<!--
SPDX-FileCopyrightText: Magenta ApS <https://magenta.dk>
SPDX-License-Identifier: MPL-2.0
-->
# MoLoRa Data Models
RAModels - MoLoRa data validation models powered by [pydantic](https://github.com/samuelcolvin/pydantic/#pydantic).
## Versioning
This project uses [Semantic Versioning](https://semver.org/) with the following strategy:
- MAJOR: Incompatible changes to existing data models
- MINOR: Backwards compatible updates to existing data models OR new models added
- PATCH: Backwards compatible bug fixes
## Authors
Magenta ApS <https://magenta.dk>
## License
- This project: [MPL-2.0](MPL-2.0.txt)
- Dependencies:
- pydantic: [MIT](MIT.txt)
This project uses [REUSE](https://reuse.software) for licensing. All licenses can be found in the [LICENSES folder](LICENSES/) of the project.
## Development
### Prerequisites
- [Poetry](https://github.com/python-poetry/poetry)
- [Pre-commit](https://github.com/pre-commit/pre-commit)
### Getting Started
1. Clone the repository:
`git clone git@git.magenta.dk:rammearkitektur/ra-data-models.git`
2. Install all dependencies:
`poetry install`
3. Set up pre-commit:
`pre-commit install`
### Running the tests
You use `poetry` and `pytest` to run the tests:
`poetry run pytest`
You can also run specific files
`poetry run pytest tests/<test_folder>/<test_file.py>`
and even use filtering with `-k`
`poetry run pytest -k "Manager"`
You can use the flags `-vx` where `v` prints the test & `x` makes the test stop if any tests fails (Verbose, X-fail)
### Pre-commit usage
Pre-commit must either be used via your virtual environment or globally.
If you want to pre-commit globally, the following extra dependencies are needed:
`pip install mypy pydantic`
### Models
## LoRa
`LoRa` implements the OIO standard version 1.1. The [standard](https://digitaliser.dk/resource/1569113) with
[specification](https://www.digitaliser.dk/resource/1569113/artefact/Specifikationafserviceinterfacefororganisation-OIO-Godkendt%5bvs.1.1%5d.pdf?artefact=true&PID=1569586)
%package help
Summary: Development documents and examples for ramodels
Provides: python3-ramodels-doc
%description help
<!--
SPDX-FileCopyrightText: Magenta ApS <https://magenta.dk>
SPDX-License-Identifier: MPL-2.0
-->
# MoLoRa Data Models
RAModels - MoLoRa data validation models powered by [pydantic](https://github.com/samuelcolvin/pydantic/#pydantic).
## Versioning
This project uses [Semantic Versioning](https://semver.org/) with the following strategy:
- MAJOR: Incompatible changes to existing data models
- MINOR: Backwards compatible updates to existing data models OR new models added
- PATCH: Backwards compatible bug fixes
## Authors
Magenta ApS <https://magenta.dk>
## License
- This project: [MPL-2.0](MPL-2.0.txt)
- Dependencies:
- pydantic: [MIT](MIT.txt)
This project uses [REUSE](https://reuse.software) for licensing. All licenses can be found in the [LICENSES folder](LICENSES/) of the project.
## Development
### Prerequisites
- [Poetry](https://github.com/python-poetry/poetry)
- [Pre-commit](https://github.com/pre-commit/pre-commit)
### Getting Started
1. Clone the repository:
`git clone git@git.magenta.dk:rammearkitektur/ra-data-models.git`
2. Install all dependencies:
`poetry install`
3. Set up pre-commit:
`pre-commit install`
### Running the tests
You use `poetry` and `pytest` to run the tests:
`poetry run pytest`
You can also run specific files
`poetry run pytest tests/<test_folder>/<test_file.py>`
and even use filtering with `-k`
`poetry run pytest -k "Manager"`
You can use the flags `-vx` where `v` prints the test & `x` makes the test stop if any tests fails (Verbose, X-fail)
### Pre-commit usage
Pre-commit must either be used via your virtual environment or globally.
If you want to pre-commit globally, the following extra dependencies are needed:
`pip install mypy pydantic`
### Models
## LoRa
`LoRa` implements the OIO standard version 1.1. The [standard](https://digitaliser.dk/resource/1569113) with
[specification](https://www.digitaliser.dk/resource/1569113/artefact/Specifikationafserviceinterfacefororganisation-OIO-Godkendt%5bvs.1.1%5d.pdf?artefact=true&PID=1569586)
%prep
%autosetup -n ramodels-21.2.5
%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-ramodels -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 21.2.5-1
- Package Spec generated
|
