diff options
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-ph.spec | 135 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 137 insertions, 0 deletions
@@ -0,0 +1 @@ +/ph-1.1.5.tar.gz diff --git a/python-ph.spec b/python-ph.spec new file mode 100644 index 0000000..f66ff89 --- /dev/null +++ b/python-ph.spec @@ -0,0 +1,135 @@ +%global _empty_manifest_terminate_build 0 +Name: python-ph +Version: 1.1.5 +Release: 1 +Summary: ph - the tabular data shell tool +License: MIT +URL: https://github.com/pgdr/ph +Source0: https://mirrors.aliyun.com/pypi/web/packages/e5/a4/323f30fbe76846de859abe24a50b453378f206e0faccae65e1df49817ccc/ph-1.1.5.tar.gz +BuildArch: noarch + + +%description +## Raison d'être +Using the _pipeline_ in Linux is nothing short of a dream in the life of the +computer super user. +However the pipe is clearly most suited for a stream of lines of textual data, +and not when the stream is actually tabular data. +Tabular data is much more complex to work with due to its dual indexing and the +fact that we often read horizontally and often read vertically. +The defacto format for tabular data is `csv` +([comma-separated values](https://en.wikipedia.org/wiki/Comma-separated_values), +which is not perfect in any sense +of the word), and the defacto tool for working with tabular data in Python is +Pandas. +This is a shell utility `ph` (pronounced _phi_) +that reads tabular data from +[_standard in_](https://en.wikipedia.org/wiki/Standard_streams#Standard_input_(stdin)) +and allows +you to perform a pandas function on the data, before writing it to standard out +in `csv` format. +The goal is to create a tool which makes it nicer to work with tabular data in a +pipeline. +To achieve the goal, `ph` then reads csv data, does some manipulation, +and prints out csv data. With csv as the invariant, `ph` can be used in + +%package -n python3-ph +Summary: ph - the tabular data shell tool +Provides: python-ph +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-ph +## Raison d'être +Using the _pipeline_ in Linux is nothing short of a dream in the life of the +computer super user. +However the pipe is clearly most suited for a stream of lines of textual data, +and not when the stream is actually tabular data. +Tabular data is much more complex to work with due to its dual indexing and the +fact that we often read horizontally and often read vertically. +The defacto format for tabular data is `csv` +([comma-separated values](https://en.wikipedia.org/wiki/Comma-separated_values), +which is not perfect in any sense +of the word), and the defacto tool for working with tabular data in Python is +Pandas. +This is a shell utility `ph` (pronounced _phi_) +that reads tabular data from +[_standard in_](https://en.wikipedia.org/wiki/Standard_streams#Standard_input_(stdin)) +and allows +you to perform a pandas function on the data, before writing it to standard out +in `csv` format. +The goal is to create a tool which makes it nicer to work with tabular data in a +pipeline. +To achieve the goal, `ph` then reads csv data, does some manipulation, +and prints out csv data. With csv as the invariant, `ph` can be used in + +%package help +Summary: Development documents and examples for ph +Provides: python3-ph-doc +%description help +## Raison d'être +Using the _pipeline_ in Linux is nothing short of a dream in the life of the +computer super user. +However the pipe is clearly most suited for a stream of lines of textual data, +and not when the stream is actually tabular data. +Tabular data is much more complex to work with due to its dual indexing and the +fact that we often read horizontally and often read vertically. +The defacto format for tabular data is `csv` +([comma-separated values](https://en.wikipedia.org/wiki/Comma-separated_values), +which is not perfect in any sense +of the word), and the defacto tool for working with tabular data in Python is +Pandas. +This is a shell utility `ph` (pronounced _phi_) +that reads tabular data from +[_standard in_](https://en.wikipedia.org/wiki/Standard_streams#Standard_input_(stdin)) +and allows +you to perform a pandas function on the data, before writing it to standard out +in `csv` format. +The goal is to create a tool which makes it nicer to work with tabular data in a +pipeline. +To achieve the goal, `ph` then reads csv data, does some manipulation, +and prints out csv data. With csv as the invariant, `ph` can be used in + +%prep +%autosetup -n ph-1.1.5 + +%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-ph -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.5-1 +- Package Spec generated @@ -0,0 +1 @@ +d41c0e8be46462d4a77b6581c1ab686e ph-1.1.5.tar.gz |