%global _empty_manifest_terminate_build 0
Name:		python-redistimeseries
Version:	1.4.5
Release:	1
Summary:	RedisTimeSeries Python Client
License:	BSD-3-Clause
URL:		https://pypi.org/project/redistimeseries/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/62/d1/2ba15e20c7f3f843648cc63375db954d060f97af5974ec1cb847fbec37d6/redistimeseries-1.4.5.tar.gz
BuildArch:	noarch

Requires:	python3-redis
Requires:	python3-importlib-metadata

%description
redistimeseries-py is a package that gives developers easy access to RedisTimeSeries module. The package extends [redis-py](https://github.com/andymccurdy/redis-py)'s interface with RedisTimeSeries's API.
## Installation
```
$ pip install redistimeseries
```
## Development
1. Create a virtualenv to manage your python dependencies, and ensure it's active.
   ```virtualenv -v venv```
2. Install [pypoetry](https://python-poetry.org/) to manage your dependencies.
   ```pip install poetry```
3. Install dependencies.
   ```poetry install```
[tox](https://tox.readthedocs.io/en/latest/) runs all tests as its default target. Running *tox* by itself will run unit tests. Ensure you have a running redis, with the module loaded.
## API
The complete documentation of RedisTimeSeries's commands can be found at [RedisTimeSeries's website](http://redistimeseries.io/).
## Usage example
```python
# Simple example
from redistimeseries.client import Client
rts = Client()
rts.create('test', labels={'Time':'Series'})
rts.add('test', 1, 1.12)
rts.add('test', 2, 1.12)
rts.get('test')
rts.incrby('test',1)
rts.range('test', 0, -1)
rts.range('test', 0, -1, aggregation_type='avg', bucket_size_msec=10)
rts.range('test', 0, -1, aggregation_type='sum', bucket_size_msec=10)
rts.info('test').__dict__
# Example with rules
rts.create('source', retention_msecs=40)
rts.create('sumRule')
rts.create('avgRule')
rts.createrule('source', 'sumRule', 'sum', 20)
rts.createrule('source', 'avgRule', 'avg', 15)
rts.add('source', '*', 1)
rts.add('source', '*', 2)
rts.add('source', '*', 3)
rts.get('sumRule')
rts.get('avgRule')
rts.info('sumRule').__dict__
```
## Further notes on back-filling time series
Since [RedisTimeSeries 1.4](https://github.com/RedisTimeSeries/RedisTimeSeries/releases/tag/v1.4.5) we've added the ability to back-fill time series, with different duplicate policies.
The default behavior is to block updates to the same timestamp, and you can control it via the `duplicate_policy` argument. You can check in detail the [duplicate policy documentation](https://oss.redislabs.com/redistimeseries/configuration/#duplicate_policy).
Bellow you can find an example of the `LAST` duplicate policy, in which we override duplicate timestamps with the latest value:
```python
from redistimeseries.client import Client
rts = Client()
rts.create('last-upsert', labels={'Time':'Series'}, duplicate_policy='last')
rts.add('last-upsert', 1, 10.0)
rts.add('last-upsert', 1, 5.0)
# should output [(1, 5.0)]
print(rts.range('last-upsert', 0, -1))
```
## License
[BSD 3-Clause](https://github.com/ashtul/redistimeseries-py/blob/master/LICENSE)

%package -n python3-redistimeseries
Summary:	RedisTimeSeries Python Client
Provides:	python-redistimeseries
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-redistimeseries
redistimeseries-py is a package that gives developers easy access to RedisTimeSeries module. The package extends [redis-py](https://github.com/andymccurdy/redis-py)'s interface with RedisTimeSeries's API.
## Installation
```
$ pip install redistimeseries
```
## Development
1. Create a virtualenv to manage your python dependencies, and ensure it's active.
   ```virtualenv -v venv```
2. Install [pypoetry](https://python-poetry.org/) to manage your dependencies.
   ```pip install poetry```
3. Install dependencies.
   ```poetry install```
[tox](https://tox.readthedocs.io/en/latest/) runs all tests as its default target. Running *tox* by itself will run unit tests. Ensure you have a running redis, with the module loaded.
## API
The complete documentation of RedisTimeSeries's commands can be found at [RedisTimeSeries's website](http://redistimeseries.io/).
## Usage example
```python
# Simple example
from redistimeseries.client import Client
rts = Client()
rts.create('test', labels={'Time':'Series'})
rts.add('test', 1, 1.12)
rts.add('test', 2, 1.12)
rts.get('test')
rts.incrby('test',1)
rts.range('test', 0, -1)
rts.range('test', 0, -1, aggregation_type='avg', bucket_size_msec=10)
rts.range('test', 0, -1, aggregation_type='sum', bucket_size_msec=10)
rts.info('test').__dict__
# Example with rules
rts.create('source', retention_msecs=40)
rts.create('sumRule')
rts.create('avgRule')
rts.createrule('source', 'sumRule', 'sum', 20)
rts.createrule('source', 'avgRule', 'avg', 15)
rts.add('source', '*', 1)
rts.add('source', '*', 2)
rts.add('source', '*', 3)
rts.get('sumRule')
rts.get('avgRule')
rts.info('sumRule').__dict__
```
## Further notes on back-filling time series
Since [RedisTimeSeries 1.4](https://github.com/RedisTimeSeries/RedisTimeSeries/releases/tag/v1.4.5) we've added the ability to back-fill time series, with different duplicate policies.
The default behavior is to block updates to the same timestamp, and you can control it via the `duplicate_policy` argument. You can check in detail the [duplicate policy documentation](https://oss.redislabs.com/redistimeseries/configuration/#duplicate_policy).
Bellow you can find an example of the `LAST` duplicate policy, in which we override duplicate timestamps with the latest value:
```python
from redistimeseries.client import Client
rts = Client()
rts.create('last-upsert', labels={'Time':'Series'}, duplicate_policy='last')
rts.add('last-upsert', 1, 10.0)
rts.add('last-upsert', 1, 5.0)
# should output [(1, 5.0)]
print(rts.range('last-upsert', 0, -1))
```
## License
[BSD 3-Clause](https://github.com/ashtul/redistimeseries-py/blob/master/LICENSE)

%package help
Summary:	Development documents and examples for redistimeseries
Provides:	python3-redistimeseries-doc
%description help
redistimeseries-py is a package that gives developers easy access to RedisTimeSeries module. The package extends [redis-py](https://github.com/andymccurdy/redis-py)'s interface with RedisTimeSeries's API.
## Installation
```
$ pip install redistimeseries
```
## Development
1. Create a virtualenv to manage your python dependencies, and ensure it's active.
   ```virtualenv -v venv```
2. Install [pypoetry](https://python-poetry.org/) to manage your dependencies.
   ```pip install poetry```
3. Install dependencies.
   ```poetry install```
[tox](https://tox.readthedocs.io/en/latest/) runs all tests as its default target. Running *tox* by itself will run unit tests. Ensure you have a running redis, with the module loaded.
## API
The complete documentation of RedisTimeSeries's commands can be found at [RedisTimeSeries's website](http://redistimeseries.io/).
## Usage example
```python
# Simple example
from redistimeseries.client import Client
rts = Client()
rts.create('test', labels={'Time':'Series'})
rts.add('test', 1, 1.12)
rts.add('test', 2, 1.12)
rts.get('test')
rts.incrby('test',1)
rts.range('test', 0, -1)
rts.range('test', 0, -1, aggregation_type='avg', bucket_size_msec=10)
rts.range('test', 0, -1, aggregation_type='sum', bucket_size_msec=10)
rts.info('test').__dict__
# Example with rules
rts.create('source', retention_msecs=40)
rts.create('sumRule')
rts.create('avgRule')
rts.createrule('source', 'sumRule', 'sum', 20)
rts.createrule('source', 'avgRule', 'avg', 15)
rts.add('source', '*', 1)
rts.add('source', '*', 2)
rts.add('source', '*', 3)
rts.get('sumRule')
rts.get('avgRule')
rts.info('sumRule').__dict__
```
## Further notes on back-filling time series
Since [RedisTimeSeries 1.4](https://github.com/RedisTimeSeries/RedisTimeSeries/releases/tag/v1.4.5) we've added the ability to back-fill time series, with different duplicate policies.
The default behavior is to block updates to the same timestamp, and you can control it via the `duplicate_policy` argument. You can check in detail the [duplicate policy documentation](https://oss.redislabs.com/redistimeseries/configuration/#duplicate_policy).
Bellow you can find an example of the `LAST` duplicate policy, in which we override duplicate timestamps with the latest value:
```python
from redistimeseries.client import Client
rts = Client()
rts.create('last-upsert', labels={'Time':'Series'}, duplicate_policy='last')
rts.add('last-upsert', 1, 10.0)
rts.add('last-upsert', 1, 5.0)
# should output [(1, 5.0)]
print(rts.range('last-upsert', 0, -1))
```
## License
[BSD 3-Clause](https://github.com/ashtul/redistimeseries-py/blob/master/LICENSE)

%prep
%autosetup -n redistimeseries-1.4.5

%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-redistimeseries -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.4.5-1
- Package Spec generated