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%global _empty_manifest_terminate_build 0
Name: python-tmpo
Version: 0.2.10
Release: 1
Summary: A python client for the tmpo protocol for timeseries
License: MIT
URL: https://github.com/flukso/tmpo-py
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a0/2c/14ce8685c90305bb6a38c6467a8fa7c4d4bdb575c88113e89750a5da6521/tmpo-0.2.10.tar.gz
BuildArch: noarch
%description
## 1. Overview ##
Tmpo-py is a Python 2.7/3.x client library for tmpo. It synchronizes tmpo blocks with the Flukso REST API, caching them locally in a SQLite DB after download. A Pandas Time Series object can be built from these tmpo blocks with proper head/tail truncating.
## 2. Commands ##
Create a tmpo session object, which sets up a connection to the $HOME/.tmpo/tmpo.sqlite3 database. If the latter does not exist, it is initialized with the proper tables.
>>> import tmpo
>>> s = tmpo.Session()
Set the optional debug flag to see what is happening under the hood.
>>> s.debug = True
Adding a sensor id + token combination will cause all tmpo blocks to be donwloaded for this specific sensor when running the sync command. Feel free to experiment with the Flukso HQ electricity data by adding this specific sensor.
>>> s.add("fed676021dacaaf6a12a8dda7685be34", "b371402dc767cc83e41bc294b63f9586")
Synchronize and download tmpo blocks with the Flukso server. Optionally, one or multiple sensor id args can be specified to limit the syncing to those sensors.
>>> s.sync()
Convert the time series data contained in the tmpo blocks to a Pandas TimeSeries data structure.
>>> s.series("fed676021dacaaf6a12a8dda7685be34")
Provide optional head/tail arguments in Unix time to limit the time series length.
>>> s.series("fed676021dacaaf6a12a8dda7685be34", head=1411043328, tail=1411043583)
1411043332 3054225
1411043358 3054226
1411043383 3054227
1411043408 3054228
1411043434 3054229
1411043458 3054230
1411043481 3054231
1411043505 3054232
1411043528 3054233
1411043553 3054234
1411043577 3054235
dtype: float64
%package -n python3-tmpo
Summary: A python client for the tmpo protocol for timeseries
Provides: python-tmpo
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-tmpo
## 1. Overview ##
Tmpo-py is a Python 2.7/3.x client library for tmpo. It synchronizes tmpo blocks with the Flukso REST API, caching them locally in a SQLite DB after download. A Pandas Time Series object can be built from these tmpo blocks with proper head/tail truncating.
## 2. Commands ##
Create a tmpo session object, which sets up a connection to the $HOME/.tmpo/tmpo.sqlite3 database. If the latter does not exist, it is initialized with the proper tables.
>>> import tmpo
>>> s = tmpo.Session()
Set the optional debug flag to see what is happening under the hood.
>>> s.debug = True
Adding a sensor id + token combination will cause all tmpo blocks to be donwloaded for this specific sensor when running the sync command. Feel free to experiment with the Flukso HQ electricity data by adding this specific sensor.
>>> s.add("fed676021dacaaf6a12a8dda7685be34", "b371402dc767cc83e41bc294b63f9586")
Synchronize and download tmpo blocks with the Flukso server. Optionally, one or multiple sensor id args can be specified to limit the syncing to those sensors.
>>> s.sync()
Convert the time series data contained in the tmpo blocks to a Pandas TimeSeries data structure.
>>> s.series("fed676021dacaaf6a12a8dda7685be34")
Provide optional head/tail arguments in Unix time to limit the time series length.
>>> s.series("fed676021dacaaf6a12a8dda7685be34", head=1411043328, tail=1411043583)
1411043332 3054225
1411043358 3054226
1411043383 3054227
1411043408 3054228
1411043434 3054229
1411043458 3054230
1411043481 3054231
1411043505 3054232
1411043528 3054233
1411043553 3054234
1411043577 3054235
dtype: float64
%package help
Summary: Development documents and examples for tmpo
Provides: python3-tmpo-doc
%description help
## 1. Overview ##
Tmpo-py is a Python 2.7/3.x client library for tmpo. It synchronizes tmpo blocks with the Flukso REST API, caching them locally in a SQLite DB after download. A Pandas Time Series object can be built from these tmpo blocks with proper head/tail truncating.
## 2. Commands ##
Create a tmpo session object, which sets up a connection to the $HOME/.tmpo/tmpo.sqlite3 database. If the latter does not exist, it is initialized with the proper tables.
>>> import tmpo
>>> s = tmpo.Session()
Set the optional debug flag to see what is happening under the hood.
>>> s.debug = True
Adding a sensor id + token combination will cause all tmpo blocks to be donwloaded for this specific sensor when running the sync command. Feel free to experiment with the Flukso HQ electricity data by adding this specific sensor.
>>> s.add("fed676021dacaaf6a12a8dda7685be34", "b371402dc767cc83e41bc294b63f9586")
Synchronize and download tmpo blocks with the Flukso server. Optionally, one or multiple sensor id args can be specified to limit the syncing to those sensors.
>>> s.sync()
Convert the time series data contained in the tmpo blocks to a Pandas TimeSeries data structure.
>>> s.series("fed676021dacaaf6a12a8dda7685be34")
Provide optional head/tail arguments in Unix time to limit the time series length.
>>> s.series("fed676021dacaaf6a12a8dda7685be34", head=1411043328, tail=1411043583)
1411043332 3054225
1411043358 3054226
1411043383 3054227
1411043408 3054228
1411043434 3054229
1411043458 3054230
1411043481 3054231
1411043505 3054232
1411043528 3054233
1411043553 3054234
1411043577 3054235
dtype: float64
%prep
%autosetup -n tmpo-0.2.10
%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-tmpo -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.10-1
- Package Spec generated
|
