automatic import of python-django-postgresql-dag

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+/django_postgresql_dag-0.4.0.tar.gz
diff --git a/python-django-postgresql-dag.spec b/python-django-postgresql-dag.spec
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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
+[![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
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..ba9581a
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+7376ef804cac0a61acecf5fb364800ed  django_postgresql_dag-0.4.0.tar.gz