%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 [![codecov](https://codecov.io/gh/OmenApps/django-postgresql-dag/branch/master/graph/badge.svg?token=IJRBEE6R0C)](https://codecov.io/gh/OmenApps/django-postgresql-dag) ![PyPI](https://img.shields.io/pypi/v/django-postgresql-dag?color=green) ![last commit](https://badgen.net/github/last-commit/OmenApps/django-postgresql-dag/main) [![Documentation Status](https://readthedocs.org/projects/django-postgresql-dag/badge/?version=latest)](http://django-postgresql-dag.readthedocs.io/) [![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](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 [![codecov](https://codecov.io/gh/OmenApps/django-postgresql-dag/branch/master/graph/badge.svg?token=IJRBEE6R0C)](https://codecov.io/gh/OmenApps/django-postgresql-dag) ![PyPI](https://img.shields.io/pypi/v/django-postgresql-dag?color=green) ![last commit](https://badgen.net/github/last-commit/OmenApps/django-postgresql-dag/main) [![Documentation Status](https://readthedocs.org/projects/django-postgresql-dag/badge/?version=latest)](http://django-postgresql-dag.readthedocs.io/) [![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](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 [![codecov](https://codecov.io/gh/OmenApps/django-postgresql-dag/branch/master/graph/badge.svg?token=IJRBEE6R0C)](https://codecov.io/gh/OmenApps/django-postgresql-dag) ![PyPI](https://img.shields.io/pypi/v/django-postgresql-dag?color=green) ![last commit](https://badgen.net/github/last-commit/OmenApps/django-postgresql-dag/main) [![Documentation Status](https://readthedocs.org/projects/django-postgresql-dag/badge/?version=latest)](http://django-postgresql-dag.readthedocs.io/) [![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](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 - 0.4.0-1 - Package Spec generated