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|
%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
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.0-1
- Package Spec generated
|
