%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 * Thu Jun 08 2023 Python_Bot - 0.2.10-1 - Package Spec generated