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%global _empty_manifest_terminate_build 0
Name: python-vigorish
Version: 0.7.0
Release: 1
Summary: Hybrid Python/Node.js web scraper for Major League Baseball (MLB) data.
License: MIT
URL: https://github.com/a-luna/vigorish
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e3/05/82491ed935fdd412331e2e20ee5ca5ce4929c15e353c3f36e03b8189bb27/vigorish-0.7.0.tar.gz
BuildArch: noarch
Requires: python3-aenum
Requires: python3-boto3
Requires: python3-bullet
Requires: python3-click
Requires: python3-dacite
Requires: python3-dataclass-csv
Requires: python3-enlighten
Requires: python3-events
Requires: python3-halo
Requires: python3-lxml
Requires: python3-naked
Requires: python3-py-getch
Requires: python3-pyfiglet
Requires: python3-dateutil
Requires: python3-dotenv
Requires: python3-rapidfuzz
Requires: python3-requests
Requires: python3-scipy
Requires: python3-sqlalchemy
Requires: python3-sqlalchemy-utils
Requires: python3-tabulate
Requires: python3-tqdm
Requires: python3-urllib3
Requires: python3-w3lib
%description
[](https://badge.fury.io/py/vigorish)    [](https://codeclimate.com/github/a-luna/vigorish/maintainability) [](https://codecov.io/gh/a-luna/vigorish)
## vigorish
`vigorish` is a hybrid Python/Node.js application that scrapes MLB data from mlb.com, brooksbaseball.net and baseball-reference.com.
My goal is to capture as much data as possible — ranging from PitchFX measurements at the most granular level to play-by-play data (play descriptions, substitutions, manager challenges, etc) and individual player pitch/bat stats at the highest level.
### Requirements
- Python 3.6+
- Node.js 10+ (Tested with Node.js 11-13)
- Xvfb
- AWS account (optional but recommended, used to store scraped data in S3)
### Project Documentation
For a step-by-step install guide and instructions for configuring/using `vigorish`, please visit the link below:
[Vigorish: Hybrid Python/Node.Js Web Scraper](https://aaronluna.dev/projects/vigorish/)
### Credits
`vigorish` either relies on the following projects listed below directly or as a dev dependency. It would not have been possible for me to create `vigorish` without these projects, thanks to all of the creators/maintainers for making these available (projects are listed alphabetically):
- [aenum](https://github.com/ethanfurman/aenum)
- [bullet](https://github.com/bchao1/bullet)
- [click](https://github.com/pallets/click)
- [dacite](https://github.com/konradhalas/dacite)
- [dataclass-csv](https://github.com/dfurtado/dataclass-csv)
- [enlighten](https://github.com/Rockhopper-Technologies/enlighten)
- [events](https://github.com/pyeve/events)
- [halo](https://github.com/manrajgrover/halo)
- [lxml](https://github.com/lxml/lxml)
- [naked](https://github.com/chrissimpkins/naked)
- [rapidfuzz](https://github.com/maxbachmann/rapidfuzz)
- [tabulate](https://github.com/astanin/python-tabulate)
%package -n python3-vigorish
Summary: Hybrid Python/Node.js web scraper for Major League Baseball (MLB) data.
Provides: python-vigorish
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-vigorish
[](https://badge.fury.io/py/vigorish)    [](https://codeclimate.com/github/a-luna/vigorish/maintainability) [](https://codecov.io/gh/a-luna/vigorish)
## vigorish
`vigorish` is a hybrid Python/Node.js application that scrapes MLB data from mlb.com, brooksbaseball.net and baseball-reference.com.
My goal is to capture as much data as possible — ranging from PitchFX measurements at the most granular level to play-by-play data (play descriptions, substitutions, manager challenges, etc) and individual player pitch/bat stats at the highest level.
### Requirements
- Python 3.6+
- Node.js 10+ (Tested with Node.js 11-13)
- Xvfb
- AWS account (optional but recommended, used to store scraped data in S3)
### Project Documentation
For a step-by-step install guide and instructions for configuring/using `vigorish`, please visit the link below:
[Vigorish: Hybrid Python/Node.Js Web Scraper](https://aaronluna.dev/projects/vigorish/)
### Credits
`vigorish` either relies on the following projects listed below directly or as a dev dependency. It would not have been possible for me to create `vigorish` without these projects, thanks to all of the creators/maintainers for making these available (projects are listed alphabetically):
- [aenum](https://github.com/ethanfurman/aenum)
- [bullet](https://github.com/bchao1/bullet)
- [click](https://github.com/pallets/click)
- [dacite](https://github.com/konradhalas/dacite)
- [dataclass-csv](https://github.com/dfurtado/dataclass-csv)
- [enlighten](https://github.com/Rockhopper-Technologies/enlighten)
- [events](https://github.com/pyeve/events)
- [halo](https://github.com/manrajgrover/halo)
- [lxml](https://github.com/lxml/lxml)
- [naked](https://github.com/chrissimpkins/naked)
- [rapidfuzz](https://github.com/maxbachmann/rapidfuzz)
- [tabulate](https://github.com/astanin/python-tabulate)
%package help
Summary: Development documents and examples for vigorish
Provides: python3-vigorish-doc
%description help
[](https://badge.fury.io/py/vigorish)    [](https://codeclimate.com/github/a-luna/vigorish/maintainability) [](https://codecov.io/gh/a-luna/vigorish)
## vigorish
`vigorish` is a hybrid Python/Node.js application that scrapes MLB data from mlb.com, brooksbaseball.net and baseball-reference.com.
My goal is to capture as much data as possible — ranging from PitchFX measurements at the most granular level to play-by-play data (play descriptions, substitutions, manager challenges, etc) and individual player pitch/bat stats at the highest level.
### Requirements
- Python 3.6+
- Node.js 10+ (Tested with Node.js 11-13)
- Xvfb
- AWS account (optional but recommended, used to store scraped data in S3)
### Project Documentation
For a step-by-step install guide and instructions for configuring/using `vigorish`, please visit the link below:
[Vigorish: Hybrid Python/Node.Js Web Scraper](https://aaronluna.dev/projects/vigorish/)
### Credits
`vigorish` either relies on the following projects listed below directly or as a dev dependency. It would not have been possible for me to create `vigorish` without these projects, thanks to all of the creators/maintainers for making these available (projects are listed alphabetically):
- [aenum](https://github.com/ethanfurman/aenum)
- [bullet](https://github.com/bchao1/bullet)
- [click](https://github.com/pallets/click)
- [dacite](https://github.com/konradhalas/dacite)
- [dataclass-csv](https://github.com/dfurtado/dataclass-csv)
- [enlighten](https://github.com/Rockhopper-Technologies/enlighten)
- [events](https://github.com/pyeve/events)
- [halo](https://github.com/manrajgrover/halo)
- [lxml](https://github.com/lxml/lxml)
- [naked](https://github.com/chrissimpkins/naked)
- [rapidfuzz](https://github.com/maxbachmann/rapidfuzz)
- [tabulate](https://github.com/astanin/python-tabulate)
%prep
%autosetup -n vigorish-0.7.0
%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-vigorish -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.0-1
- Package Spec generated
|
