%global _empty_manifest_terminate_build 0 Name: python-pyflunearyou Version: 2021.10.0 Release: 1 Summary: A clean, well-tested Python3 API for Flu Near You License: MIT URL: https://github.com/bachya/pyflunearyou Source0: https://mirrors.nju.edu.cn/pypi/web/packages/3b/ed/bc1b808f541f76d4269174f899c5451a280ada158e7e6d133f247fd0c13b/pyflunearyou-2021.10.0.tar.gz BuildArch: noarch Requires: python3-aiocache Requires: python3-aiohttp Requires: python3-msgpack Requires: python3-ujson %description # 🤒 pyflunearyou: A Python3 API for Flu Near You [![CI](https://github.com/bachya/pyflunearyou/workflows/CI/badge.svg)](https://github.com/bachya/pyflunearyou/actions) [![PyPi](https://img.shields.io/pypi/v/pyflunearyou.svg)](https://pypi.python.org/pypi/pyflunearyou) [![Version](https://img.shields.io/pypi/pyversions/pyflunearyou.svg)](https://pypi.python.org/pypi/pyflunearyou) [![License](https://img.shields.io/pypi/l/pyflunearyou.svg)](https://github.com/bachya/pyflunearyou/blob/master/LICENSE) [![Code Coverage](https://codecov.io/gh/bachya/pyflunearyou/branch/dev/graph/badge.svg)](https://codecov.io/gh/bachya/pyflunearyou) [![Maintainability](https://api.codeclimate.com/v1/badges/dee8556060c7d0e7f2d1/maintainability)](https://codeclimate.com/github/bachya/pyflunearyou/maintainability) [![Say Thanks](https://img.shields.io/badge/SayThanks-!-1EAEDB.svg)](https://saythanks.io/to/bachya) `pyflunearyou` is a simple Python library for retrieving UV-related information from [Flu Near You](https://flunearyou.org/#!/). - [Installation](#installation) - [Python Versions](#python-versions) - [Usage](#usage) - [Contributing](#contributing) # Installation ```python pip install pyflunearyou ``` # Python Versions `pyflunearyou` is currently supported on: * Python 3.6 * Python 3.7 * Python 3.8 * Python 3.9 * Python 3.10 # Usage ```python import asyncio from aiohttp import ClientSession from pyflunearyou import Client async def main() -> None: """Run!""" client = Client() # Get user data for a specific latitude/longitude: await client.user_reports.status_by_coordinates(, ) # Get user data for a specific ZIP code: await client.user_reports.status_by_zip("") # Get CDC data for a specific latitude/longitude: await client.cdc_reports.status_by_coordinates(, ) # Get CDC data for a specific state: await client.cdc_reports.status_by_state('') asyncio.run(main()) ``` By default, the library creates a new connection to Flu Near You with each coroutine. If you are calling a large number of coroutines (or merely want to squeeze out every second of runtime savings possible), an [`aiohttp`](https://github.com/aio-libs/aiohttp) `ClientSession` can be used for connection pooling: ```python import asyncio from aiohttp import ClientSession from pyflunearyou import Client async def main() -> None: """Run!""" async with ClientSession() as session: client = Client(session=session) # ... asyncio.run(main()) ``` # Contributing 1. [Check for open features/bugs](https://github.com/bachya/pyflunearyou/issues) or [initiate a discussion on one](https://github.com/bachya/pyflunearyou/issues/new). 2. [Fork the repository](https://github.com/bachya/pyflunearyou/fork). 3. (_optional, but highly recommended_) Create a virtual environment: `python3 -m venv .venv` 4. (_optional, but highly recommended_) Enter the virtual environment: `source ./.venv/bin/activate` 5. Install the dev environment: `script/setup` 6. Code your new feature or bug fix. 7. Write tests that cover your new functionality. 8. Run tests and ensure 100% code coverage: `script/test` 9. Update `README.md` with any new documentation. 10. Add yourself to `AUTHORS.md`. 11. Submit a pull request! %package -n python3-pyflunearyou Summary: A clean, well-tested Python3 API for Flu Near You Provides: python-pyflunearyou BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pyflunearyou # 🤒 pyflunearyou: A Python3 API for Flu Near You [![CI](https://github.com/bachya/pyflunearyou/workflows/CI/badge.svg)](https://github.com/bachya/pyflunearyou/actions) [![PyPi](https://img.shields.io/pypi/v/pyflunearyou.svg)](https://pypi.python.org/pypi/pyflunearyou) [![Version](https://img.shields.io/pypi/pyversions/pyflunearyou.svg)](https://pypi.python.org/pypi/pyflunearyou) [![License](https://img.shields.io/pypi/l/pyflunearyou.svg)](https://github.com/bachya/pyflunearyou/blob/master/LICENSE) [![Code Coverage](https://codecov.io/gh/bachya/pyflunearyou/branch/dev/graph/badge.svg)](https://codecov.io/gh/bachya/pyflunearyou) [![Maintainability](https://api.codeclimate.com/v1/badges/dee8556060c7d0e7f2d1/maintainability)](https://codeclimate.com/github/bachya/pyflunearyou/maintainability) [![Say Thanks](https://img.shields.io/badge/SayThanks-!-1EAEDB.svg)](https://saythanks.io/to/bachya) `pyflunearyou` is a simple Python library for retrieving UV-related information from [Flu Near You](https://flunearyou.org/#!/). - [Installation](#installation) - [Python Versions](#python-versions) - [Usage](#usage) - [Contributing](#contributing) # Installation ```python pip install pyflunearyou ``` # Python Versions `pyflunearyou` is currently supported on: * Python 3.6 * Python 3.7 * Python 3.8 * Python 3.9 * Python 3.10 # Usage ```python import asyncio from aiohttp import ClientSession from pyflunearyou import Client async def main() -> None: """Run!""" client = Client() # Get user data for a specific latitude/longitude: await client.user_reports.status_by_coordinates(, ) # Get user data for a specific ZIP code: await client.user_reports.status_by_zip("") # Get CDC data for a specific latitude/longitude: await client.cdc_reports.status_by_coordinates(, ) # Get CDC data for a specific state: await client.cdc_reports.status_by_state('') asyncio.run(main()) ``` By default, the library creates a new connection to Flu Near You with each coroutine. If you are calling a large number of coroutines (or merely want to squeeze out every second of runtime savings possible), an [`aiohttp`](https://github.com/aio-libs/aiohttp) `ClientSession` can be used for connection pooling: ```python import asyncio from aiohttp import ClientSession from pyflunearyou import Client async def main() -> None: """Run!""" async with ClientSession() as session: client = Client(session=session) # ... asyncio.run(main()) ``` # Contributing 1. [Check for open features/bugs](https://github.com/bachya/pyflunearyou/issues) or [initiate a discussion on one](https://github.com/bachya/pyflunearyou/issues/new). 2. [Fork the repository](https://github.com/bachya/pyflunearyou/fork). 3. (_optional, but highly recommended_) Create a virtual environment: `python3 -m venv .venv` 4. (_optional, but highly recommended_) Enter the virtual environment: `source ./.venv/bin/activate` 5. Install the dev environment: `script/setup` 6. Code your new feature or bug fix. 7. Write tests that cover your new functionality. 8. Run tests and ensure 100% code coverage: `script/test` 9. Update `README.md` with any new documentation. 10. Add yourself to `AUTHORS.md`. 11. Submit a pull request! %package help Summary: Development documents and examples for pyflunearyou Provides: python3-pyflunearyou-doc %description help # 🤒 pyflunearyou: A Python3 API for Flu Near You [![CI](https://github.com/bachya/pyflunearyou/workflows/CI/badge.svg)](https://github.com/bachya/pyflunearyou/actions) [![PyPi](https://img.shields.io/pypi/v/pyflunearyou.svg)](https://pypi.python.org/pypi/pyflunearyou) [![Version](https://img.shields.io/pypi/pyversions/pyflunearyou.svg)](https://pypi.python.org/pypi/pyflunearyou) [![License](https://img.shields.io/pypi/l/pyflunearyou.svg)](https://github.com/bachya/pyflunearyou/blob/master/LICENSE) [![Code Coverage](https://codecov.io/gh/bachya/pyflunearyou/branch/dev/graph/badge.svg)](https://codecov.io/gh/bachya/pyflunearyou) [![Maintainability](https://api.codeclimate.com/v1/badges/dee8556060c7d0e7f2d1/maintainability)](https://codeclimate.com/github/bachya/pyflunearyou/maintainability) [![Say Thanks](https://img.shields.io/badge/SayThanks-!-1EAEDB.svg)](https://saythanks.io/to/bachya) `pyflunearyou` is a simple Python library for retrieving UV-related information from [Flu Near You](https://flunearyou.org/#!/). - [Installation](#installation) - [Python Versions](#python-versions) - [Usage](#usage) - [Contributing](#contributing) # Installation ```python pip install pyflunearyou ``` # Python Versions `pyflunearyou` is currently supported on: * Python 3.6 * Python 3.7 * Python 3.8 * Python 3.9 * Python 3.10 # Usage ```python import asyncio from aiohttp import ClientSession from pyflunearyou import Client async def main() -> None: """Run!""" client = Client() # Get user data for a specific latitude/longitude: await client.user_reports.status_by_coordinates(, ) # Get user data for a specific ZIP code: await client.user_reports.status_by_zip("") # Get CDC data for a specific latitude/longitude: await client.cdc_reports.status_by_coordinates(, ) # Get CDC data for a specific state: await client.cdc_reports.status_by_state('') asyncio.run(main()) ``` By default, the library creates a new connection to Flu Near You with each coroutine. If you are calling a large number of coroutines (or merely want to squeeze out every second of runtime savings possible), an [`aiohttp`](https://github.com/aio-libs/aiohttp) `ClientSession` can be used for connection pooling: ```python import asyncio from aiohttp import ClientSession from pyflunearyou import Client async def main() -> None: """Run!""" async with ClientSession() as session: client = Client(session=session) # ... asyncio.run(main()) ``` # Contributing 1. [Check for open features/bugs](https://github.com/bachya/pyflunearyou/issues) or [initiate a discussion on one](https://github.com/bachya/pyflunearyou/issues/new). 2. [Fork the repository](https://github.com/bachya/pyflunearyou/fork). 3. (_optional, but highly recommended_) Create a virtual environment: `python3 -m venv .venv` 4. (_optional, but highly recommended_) Enter the virtual environment: `source ./.venv/bin/activate` 5. Install the dev environment: `script/setup` 6. Code your new feature or bug fix. 7. Write tests that cover your new functionality. 8. Run tests and ensure 100% code coverage: `script/test` 9. Update `README.md` with any new documentation. 10. Add yourself to `AUTHORS.md`. 11. Submit a pull request! %prep %autosetup -n pyflunearyou-2021.10.0 %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-pyflunearyou -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 10 2023 Python_Bot - 2021.10.0-1 - Package Spec generated