%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 # 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 ## 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//` 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 # 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 ## 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//` 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 # 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 ## 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//` 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 - 21.2.5-1 - Package Spec generated