%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.aliyun.com/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 [![PyPI version](https://badge.fury.io/py/vigorish.svg)](https://badge.fury.io/py/vigorish) ![PyPI - Downloads](https://img.shields.io/pypi/dm/vigorish?color=%234DC71F) ![PyPI - License](https://img.shields.io/pypi/l/vigorish?color=%25234DC71F) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/vigorish) [![Maintainability](https://api.codeclimate.com/v1/badges/4a1753c77add039c3850/maintainability)](https://codeclimate.com/github/a-luna/vigorish/maintainability) [![codecov](https://codecov.io/gh/a-luna/vigorish/branch/master/graph/badge.svg)](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 [![PyPI version](https://badge.fury.io/py/vigorish.svg)](https://badge.fury.io/py/vigorish) ![PyPI - Downloads](https://img.shields.io/pypi/dm/vigorish?color=%234DC71F) ![PyPI - License](https://img.shields.io/pypi/l/vigorish?color=%25234DC71F) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/vigorish) [![Maintainability](https://api.codeclimate.com/v1/badges/4a1753c77add039c3850/maintainability)](https://codeclimate.com/github/a-luna/vigorish/maintainability) [![codecov](https://codecov.io/gh/a-luna/vigorish/branch/master/graph/badge.svg)](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 [![PyPI version](https://badge.fury.io/py/vigorish.svg)](https://badge.fury.io/py/vigorish) ![PyPI - Downloads](https://img.shields.io/pypi/dm/vigorish?color=%234DC71F) ![PyPI - License](https://img.shields.io/pypi/l/vigorish?color=%25234DC71F) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/vigorish) [![Maintainability](https://api.codeclimate.com/v1/badges/4a1753c77add039c3850/maintainability)](https://codeclimate.com/github/a-luna/vigorish/maintainability) [![codecov](https://codecov.io/gh/a-luna/vigorish/branch/master/graph/badge.svg)](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 * Thu Jun 08 2023 Python_Bot - 0.7.0-1 - Package Spec generated