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%global _empty_manifest_terminate_build 0
Name: python-keyvi
Version: 0.5.6
Release: 1
Summary: Python package for keyvi
License: ASL 2.0
URL: http://keyvi.org
Source0: https://mirrors.aliyun.com/pypi/web/packages/5b/4a/b3cf8dc6fce0608f48b9c3eff9ff3b5c943ba8dfd46e218653968258388e/keyvi-0.5.6.tar.gz
BuildArch: noarch
Requires: python3-msgpack
%description
Keyvi - the short form for "Key value index" is a key value store (KVS) optimized for size and lookup speed. The usage of shared memory makes it scalable and resistant. The biggest difference to other stores is the underlying data structure based on [finite state machine](https://en.wikipedia.org/wiki/Finite-state_machine). Storage is very space efficient, fast and by design makes various sorts of approximate matching be it fuzzy string matching or geo highly efficient. The immutable FST data structure can be used stand-alone for static datasets. If you need online writes, you can use keyvi index, a _near realtime index_.
## Quick Start
Install keyvi with
```
pip3 install keyvi
```
create your first very simple index:
```
import keyvi.index
index = keyvi.index.Index("test-index")
index.Set('key', '{"answer": 42, "condition": "always"}')
index.Flush()
# get the entry for key
m = index.Get('key')
print(m.GetValue())
# match fuzzy(levenshtein distance) with max edit distance 1, exact prefix 2
m = index.GetFuzzy("kei", 1, 2)
print(m.GetMatchedString())
```
For more information visit http://keyvi.org
%package -n python3-keyvi
Summary: Python package for keyvi
Provides: python-keyvi
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-keyvi
Keyvi - the short form for "Key value index" is a key value store (KVS) optimized for size and lookup speed. The usage of shared memory makes it scalable and resistant. The biggest difference to other stores is the underlying data structure based on [finite state machine](https://en.wikipedia.org/wiki/Finite-state_machine). Storage is very space efficient, fast and by design makes various sorts of approximate matching be it fuzzy string matching or geo highly efficient. The immutable FST data structure can be used stand-alone for static datasets. If you need online writes, you can use keyvi index, a _near realtime index_.
## Quick Start
Install keyvi with
```
pip3 install keyvi
```
create your first very simple index:
```
import keyvi.index
index = keyvi.index.Index("test-index")
index.Set('key', '{"answer": 42, "condition": "always"}')
index.Flush()
# get the entry for key
m = index.Get('key')
print(m.GetValue())
# match fuzzy(levenshtein distance) with max edit distance 1, exact prefix 2
m = index.GetFuzzy("kei", 1, 2)
print(m.GetMatchedString())
```
For more information visit http://keyvi.org
%package help
Summary: Development documents and examples for keyvi
Provides: python3-keyvi-doc
%description help
Keyvi - the short form for "Key value index" is a key value store (KVS) optimized for size and lookup speed. The usage of shared memory makes it scalable and resistant. The biggest difference to other stores is the underlying data structure based on [finite state machine](https://en.wikipedia.org/wiki/Finite-state_machine). Storage is very space efficient, fast and by design makes various sorts of approximate matching be it fuzzy string matching or geo highly efficient. The immutable FST data structure can be used stand-alone for static datasets. If you need online writes, you can use keyvi index, a _near realtime index_.
## Quick Start
Install keyvi with
```
pip3 install keyvi
```
create your first very simple index:
```
import keyvi.index
index = keyvi.index.Index("test-index")
index.Set('key', '{"answer": 42, "condition": "always"}')
index.Flush()
# get the entry for key
m = index.Get('key')
print(m.GetValue())
# match fuzzy(levenshtein distance) with max edit distance 1, exact prefix 2
m = index.GetFuzzy("kei", 1, 2)
print(m.GetMatchedString())
```
For more information visit http://keyvi.org
%prep
%autosetup -n keyvi-0.5.6
%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-keyvi -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.6-1
- Package Spec generated
|
