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@@ -0,0 +1 @@ +/django_postgresql_dag-0.4.0.tar.gz diff --git a/python-django-postgresql-dag.spec b/python-django-postgresql-dag.spec new file mode 100644 index 0000000..49abc22 --- /dev/null +++ b/python-django-postgresql-dag.spec @@ -0,0 +1,188 @@ +%global _empty_manifest_terminate_build 0 +Name: python-django-postgresql-dag +Version: 0.4.0 +Release: 1 +Summary: Directed Acyclic Graph implementation for Django & Postgresql +License: MIT +URL: https://github.com/OmenApps/django-postgresql-dag +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/eb/48/3d681301bb28efa0aa79c1f660686f681f08e8833ea68ec1bfe856caea44/django_postgresql_dag-0.4.0.tar.gz +BuildArch: noarch + +Requires: python3-django +Requires: python3-psycopg2-binary + +%description +[](https://codecov.io/gh/OmenApps/django-postgresql-dag)   [](http://django-postgresql-dag.readthedocs.io/) [](https://www.python.org/) + +# Django & Postgresql-based Directed Acyclic Graphs + +The main distinguishing factor for this project is that it can retrieve entire sections of a graph with far +fewer queries than most other packages. The trade off is portability: it uses Postgres' Common Table +Expressions (CTE) to achieve this and is therefore not compatible with other databases. + +NOTE: Not all methods which would benefit from CTEs use them yet. **This project is a work in progress. Again, this project is a work in progress.** While functional, it is not yet fully optimized. + +The primary purpose of this package is to *build* and *manipulate* DAGs within a Django project. If you are looking for graph *analysis* or *visualization*, this may not be the right package. + +Currently, django-postgresql-dag provides numerous methods for retrieving nodes, and a few for retrieving edges within the graph. In-progress are filters within the CTEs in order to limit the area of the graph to be searched, ability to easily export to NetworkX, and other improvements and utilities. + +## Demo + +[Quickstart example](https://django-postgresql-dag.readthedocs.io/en/latest/quickstart.html) + +## Install + + pip install django-postgresql-dag + +With optional dependencies for using transformations: + + pip install django-postgresql-dag[transforms] + + +## ToDo + +See the checklists in [issues](https://github.com/OmenApps/django-postgresql-dag/issues) to understand the future goals of this project. + + +## Credits: + +1. [This excellent blog post](https://www.fusionbox.com/blog/detail/graph-algorithms-in-a-database-recursive-ctes-and-topological-sort-with-postgres/620/) +2. [django-dag](https://pypi.org/project/django-dag/) +3. [django-dag-postgresql](https://github.com/worsht/django-dag-postgresql) +4. [django-treebeard-dag](https://pypi.org/project/django-treebeard-dag/) + + +%package -n python3-django-postgresql-dag +Summary: Directed Acyclic Graph implementation for Django & Postgresql +Provides: python-django-postgresql-dag +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-django-postgresql-dag +[](https://codecov.io/gh/OmenApps/django-postgresql-dag)   [](http://django-postgresql-dag.readthedocs.io/) [](https://www.python.org/) + +# Django & Postgresql-based Directed Acyclic Graphs + +The main distinguishing factor for this project is that it can retrieve entire sections of a graph with far +fewer queries than most other packages. The trade off is portability: it uses Postgres' Common Table +Expressions (CTE) to achieve this and is therefore not compatible with other databases. + +NOTE: Not all methods which would benefit from CTEs use them yet. **This project is a work in progress. Again, this project is a work in progress.** While functional, it is not yet fully optimized. + +The primary purpose of this package is to *build* and *manipulate* DAGs within a Django project. If you are looking for graph *analysis* or *visualization*, this may not be the right package. + +Currently, django-postgresql-dag provides numerous methods for retrieving nodes, and a few for retrieving edges within the graph. In-progress are filters within the CTEs in order to limit the area of the graph to be searched, ability to easily export to NetworkX, and other improvements and utilities. + +## Demo + +[Quickstart example](https://django-postgresql-dag.readthedocs.io/en/latest/quickstart.html) + +## Install + + pip install django-postgresql-dag + +With optional dependencies for using transformations: + + pip install django-postgresql-dag[transforms] + + +## ToDo + +See the checklists in [issues](https://github.com/OmenApps/django-postgresql-dag/issues) to understand the future goals of this project. + + +## Credits: + +1. [This excellent blog post](https://www.fusionbox.com/blog/detail/graph-algorithms-in-a-database-recursive-ctes-and-topological-sort-with-postgres/620/) +2. [django-dag](https://pypi.org/project/django-dag/) +3. [django-dag-postgresql](https://github.com/worsht/django-dag-postgresql) +4. [django-treebeard-dag](https://pypi.org/project/django-treebeard-dag/) + + +%package help +Summary: Development documents and examples for django-postgresql-dag +Provides: python3-django-postgresql-dag-doc +%description help +[](https://codecov.io/gh/OmenApps/django-postgresql-dag)   [](http://django-postgresql-dag.readthedocs.io/) [](https://www.python.org/) + +# Django & Postgresql-based Directed Acyclic Graphs + +The main distinguishing factor for this project is that it can retrieve entire sections of a graph with far +fewer queries than most other packages. The trade off is portability: it uses Postgres' Common Table +Expressions (CTE) to achieve this and is therefore not compatible with other databases. + +NOTE: Not all methods which would benefit from CTEs use them yet. **This project is a work in progress. Again, this project is a work in progress.** While functional, it is not yet fully optimized. + +The primary purpose of this package is to *build* and *manipulate* DAGs within a Django project. If you are looking for graph *analysis* or *visualization*, this may not be the right package. + +Currently, django-postgresql-dag provides numerous methods for retrieving nodes, and a few for retrieving edges within the graph. In-progress are filters within the CTEs in order to limit the area of the graph to be searched, ability to easily export to NetworkX, and other improvements and utilities. + +## Demo + +[Quickstart example](https://django-postgresql-dag.readthedocs.io/en/latest/quickstart.html) + +## Install + + pip install django-postgresql-dag + +With optional dependencies for using transformations: + + pip install django-postgresql-dag[transforms] + + +## ToDo + +See the checklists in [issues](https://github.com/OmenApps/django-postgresql-dag/issues) to understand the future goals of this project. + + +## Credits: + +1. [This excellent blog post](https://www.fusionbox.com/blog/detail/graph-algorithms-in-a-database-recursive-ctes-and-topological-sort-with-postgres/620/) +2. [django-dag](https://pypi.org/project/django-dag/) +3. [django-dag-postgresql](https://github.com/worsht/django-dag-postgresql) +4. [django-treebeard-dag](https://pypi.org/project/django-treebeard-dag/) + + +%prep +%autosetup -n django-postgresql-dag-0.4.0 + +%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-django-postgresql-dag -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.0-1 +- Package Spec generated @@ -0,0 +1 @@ +7376ef804cac0a61acecf5fb364800ed django_postgresql_dag-0.4.0.tar.gz |