%global _empty_manifest_terminate_build 0
Name:		python-Flask-SQLAlchemy-Caching
Version:	1.0.4
Release:	1
Summary:	CachingQuery implementation to Flask using Flask-SQLAlchemy and Flask-Caching
License:	MIT
URL:		http://www.github.com/bbelyeu/Flask-SQLAlchemy-Caching
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/da/3d/20339dbe72c9acacd0191dfaf8af9e29aaf153fa8759a3a7ddaaaae9b03b/Flask-SQLAlchemy-Caching-1.0.4.tar.gz
BuildArch:	noarch


%description
This is a fork of [iurisilvio's Flask-SQLAlchemy-Cache](https://github.com/iurisilvio/Flask-SQLAlchemy-Cache)
A CachingQuery implementation to Flask using Flask-SQLAlchemy and Flask-Caching.
To start using caching queries, you just have to replace Flask-SQLAlchemy `Model.query_class`.
```python
from flask_sqlalchemy import SQLAlchemy
from flask_sqlalchemy_caching import CachingQuery
from flask_caching import Cache
db = SQLAlchemy(app, query_class=CachingQuery)
cache = Cache(app)
```
After that, you can just make queries to a model `YourModel`:
```python
from flask_sqlalchemy_caching import FromCache
# cache is a Flask-Caching instance imported for your app init
YourModel.query.options(FromCache(cache)).get()
```
You also have `RelationshipCache` to enable lazy loading relationships from
cache.
```python
from sqlalchemy.orm import lazyload
from flask_sqlalchemy_caching import RelationshipCache
rc = RelationshipCache(YourModel.some_relationship, cache)
obj = YourModel.query.options(lazyload(YourModel.some_relationship), rc).get()
# make the query and cache the results for future queries
print(obj.some_relationship)
```
If there is a column in your table that is much more dynamic and you want to exclude it from
being cached, try using a deferred query like:
```python
YourModel.query.options(defer('crazy_column')).options(FromCache(cache)).get()
```
Take a look at [Dogpile Caching example][] to more details about how
`CachingQuery` works. Most changes to their were made just to integrate it
with Flask, Flask-SQLAlchemy and Flask-Caching instead of Dogpile.
[Dogpile Caching example]: http://docs.sqlalchemy.org/en/latest/orm/examples.html?highlight=dogpile#module-examples.dogpile_caching

%package -n python3-Flask-SQLAlchemy-Caching
Summary:	CachingQuery implementation to Flask using Flask-SQLAlchemy and Flask-Caching
Provides:	python-Flask-SQLAlchemy-Caching
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-Flask-SQLAlchemy-Caching
This is a fork of [iurisilvio's Flask-SQLAlchemy-Cache](https://github.com/iurisilvio/Flask-SQLAlchemy-Cache)
A CachingQuery implementation to Flask using Flask-SQLAlchemy and Flask-Caching.
To start using caching queries, you just have to replace Flask-SQLAlchemy `Model.query_class`.
```python
from flask_sqlalchemy import SQLAlchemy
from flask_sqlalchemy_caching import CachingQuery
from flask_caching import Cache
db = SQLAlchemy(app, query_class=CachingQuery)
cache = Cache(app)
```
After that, you can just make queries to a model `YourModel`:
```python
from flask_sqlalchemy_caching import FromCache
# cache is a Flask-Caching instance imported for your app init
YourModel.query.options(FromCache(cache)).get()
```
You also have `RelationshipCache` to enable lazy loading relationships from
cache.
```python
from sqlalchemy.orm import lazyload
from flask_sqlalchemy_caching import RelationshipCache
rc = RelationshipCache(YourModel.some_relationship, cache)
obj = YourModel.query.options(lazyload(YourModel.some_relationship), rc).get()
# make the query and cache the results for future queries
print(obj.some_relationship)
```
If there is a column in your table that is much more dynamic and you want to exclude it from
being cached, try using a deferred query like:
```python
YourModel.query.options(defer('crazy_column')).options(FromCache(cache)).get()
```
Take a look at [Dogpile Caching example][] to more details about how
`CachingQuery` works. Most changes to their were made just to integrate it
with Flask, Flask-SQLAlchemy and Flask-Caching instead of Dogpile.
[Dogpile Caching example]: http://docs.sqlalchemy.org/en/latest/orm/examples.html?highlight=dogpile#module-examples.dogpile_caching

%package help
Summary:	Development documents and examples for Flask-SQLAlchemy-Caching
Provides:	python3-Flask-SQLAlchemy-Caching-doc
%description help
This is a fork of [iurisilvio's Flask-SQLAlchemy-Cache](https://github.com/iurisilvio/Flask-SQLAlchemy-Cache)
A CachingQuery implementation to Flask using Flask-SQLAlchemy and Flask-Caching.
To start using caching queries, you just have to replace Flask-SQLAlchemy `Model.query_class`.
```python
from flask_sqlalchemy import SQLAlchemy
from flask_sqlalchemy_caching import CachingQuery
from flask_caching import Cache
db = SQLAlchemy(app, query_class=CachingQuery)
cache = Cache(app)
```
After that, you can just make queries to a model `YourModel`:
```python
from flask_sqlalchemy_caching import FromCache
# cache is a Flask-Caching instance imported for your app init
YourModel.query.options(FromCache(cache)).get()
```
You also have `RelationshipCache` to enable lazy loading relationships from
cache.
```python
from sqlalchemy.orm import lazyload
from flask_sqlalchemy_caching import RelationshipCache
rc = RelationshipCache(YourModel.some_relationship, cache)
obj = YourModel.query.options(lazyload(YourModel.some_relationship), rc).get()
# make the query and cache the results for future queries
print(obj.some_relationship)
```
If there is a column in your table that is much more dynamic and you want to exclude it from
being cached, try using a deferred query like:
```python
YourModel.query.options(defer('crazy_column')).options(FromCache(cache)).get()
```
Take a look at [Dogpile Caching example][] to more details about how
`CachingQuery` works. Most changes to their were made just to integrate it
with Flask, Flask-SQLAlchemy and Flask-Caching instead of Dogpile.
[Dogpile Caching example]: http://docs.sqlalchemy.org/en/latest/orm/examples.html?highlight=dogpile#module-examples.dogpile_caching

%prep
%autosetup -n Flask-SQLAlchemy-Caching-1.0.4

%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-Flask-SQLAlchemy-Caching -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.4-1
- Package Spec generated