Metadata-Version: 2.1
Name: autosys
Version: 1.5.1
Summary: System utilities for Python on macOS.
Home-page: https://skeptycal.github.io/autosys/
Author: Michael Treanor
Author-email: skeptycal@gmail.com
Maintainer: Michael Treanor
Maintainer-email: skeptycal@gmail.com
License: MIT
Download-URL: https://github.com/skeptycal/autosys/archive/1.5.1.tar.gz
Project-URL: Website, https://skeptycal.github.io/autosys/
Project-URL: Documentation, https://skeptycal.github.io/autosys/docs
Project-URL: Source Code, https://www.github.com/skeptycal/autosys/
Project-URL: Changelog, https://github.com/skeptycal/autosys/blob/master/CHANGELOG.md
Description: # [AutoSys][1]
        
        [![netlify badge](https://api.netlify.com/api/v1/badges/416b8ca3-82db-470f-9adf-a6d06264ca75/deploy-status)][link_netlify] [![Build Status](https://travis-ci.com/skeptycal/autosys.svg?branch=master)][link_travis]
        
        [![Twitter Follow](https://img.shields.io/twitter/follow/skeptycal.svg?style=social)][link_twitter] [![GitHub followers](https://img.shields.io/github/followers/skeptycal.svg?label=GitHub&style=social)][link_github]
        
        ---
        
        ### **An even more desperate way to make requests for Humans™.**
        
        -   Why does this have to suck so much?
        -   Why do my tools make me work for them?
        -   Why can't I ask for something I want to know and see it in a way I want to see it?
        -   Why haven't my tools changed in 30 years?
        -   Why do we need 100 different cryptic patchworks of messy code to get something done?
        -   Why do I have to change and contort to accomodate my tools?
        
        ## _Why don't my tools work with the way humans think?_
        
        ---
        
        ### _If computers can do so much, why can't we do any of the things we want to do?_ That is the question that we seek to answer with **_AutoSys_**.
        
        ---
        
        [![test coverage](https://img.shields.io/badge/test_coverage-100%25-6600CC.svg?logo=Coveralls&color=3F5767)](https://coveralls.io) ![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/3454/badge)
        
        ### **Integrates easily in a simple, human way with:**
        
        -   Google Calendars, Contacts, Drive, Docs, Sheets
        -   Dictionaries, References, and language tools
        -   Analyze news for fake stories and spoofs
        -   Professional Journal searches
        -   Linux/macOS Command Line
        -   simple image edits and pdfs
        -   and nearly any public API
        -   Latex / BibTex documents
        -   macOS Text Messaging
        -   Common web browsers
        -   Microsoft Excel, Word
        -   Reference formatting
        -   Text Messaging
        -   NLP Processes
        -   Apple iTunes
        -   Blog Posts
        -   Youtube
        -   Netflix
        
        _Tell your computer what to do!"_
        
        > Copyright © 2018-2020 [Michael Treanor](https:/skeptycal.github.com) | [MIT License](https://opensource.org/licenses/MIT) - enjoy ...
        
        [![License](https://img.shields.io/badge/License-MIT-darkblue)](https://skeptycal.mit-license.org/1976/) [![macOS Version](https://img.shields.io/badge/macOS-10.16%20Big%20Sur-orange?logo=apple)](https://www.apple.com) [![code style: prettier](https://img.shields.io/badge/code_style-prettier-ff69b4.svg?logo=prettier)](https://github.com/prettier/prettier)
        
        ---
        
        ## AutoSys version 0.5.0
        
        ### Features include:
        
        -   **Send text messages** based on results and presets
        -   Figure out the annoying **Netflix** recommendations
        -   **Watch** for cookies and other local security issues
        -   **Research** topics based on logic and language
        -   **NLP analysis** of web pages or sets of pages
        -   Test **API** functionality and build an interface
        -   Perform spoof analysis and **fact checking**
        -   **Block** specific activities of certain sites
        -   **Convert** websites to 3d object visuals
        -   Timing social media and blog **posts**
        -   Interact with underlying **database**
        -   Create a **command line** interface
        -   **Parse** html and language results
        -   Watch **Twitter** for specific topics
        -   Create link and image **catalogs**
        -   Collect **metadata** and tag info
        -   **Google Calendar** automation
        -   **Collect** website html code
        -   **Timestamp** html versions
        -   Direct Request from user
        -   Create visual **sitemaps**
        -   Calendar **reminders**
        -   **CSS** Updating
        -   **Scripting**
        -   **BibTex**
        -   **Time**
        
        _AutoSys requires Python 3.8+ and works best with **lxml** (fast html) and **ujson** (fast json) installed. Text messaging requires macOS._
        
        [![GitHub Pipenv locked Python version](https://img.shields.io/badge/Python-3.8-yellow?color=3776AB&logo=python&logoColor=yellow)](https://www.python.org/) ![Django v3](https://img.shields.io/badge/Django-v3-%23092E20?logo=django&color=#339933)
        
        ---
        
        ## Contributing
        
        [![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-v1.4%20adopted-ff69b4.svg)](CODE_OF_CONDUCT.md)
        
        **Please feel free to offer suggestions and changes** (contribution instructions below). I have been coding for many years, but mostly as a side activity ... as a tool to assist me in other endeavors ... so I have not had the 'hard time' invested of constant coding that many of you have.
        
        ---
        
        ## A solid foundation
        
        > AutoSys uses _Requests_ and _Beautiful Soup_ to parse html and scrape web data. Website output if mostly _Flask_ based. The majority of other functionality is original code.
        
        ---
        
        ## Requests: HTTP for Humans™
        
        ![Requests graphic](images/requests-sidebar.jpg)
        
        _Requests is an elegant and simple HTTP library for Python, built for human beings._
        
        [Requests Documentation](https://requests.readthedocs.io/en/master/)
        
        > Requests allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data. Keep-alive and HTTP connection pooling are 100% automatic, thanks to urllib3.
        
        #### Beloved Features
        
        _Requests is ready for today’s web._
        
        -   Keep-Alive & Connection Pooling
        -   International Domains and URLs
        -   Sessions with Cookie Persistence
        -   Browser-style SSL Verification
        -   Automatic Content Decoding
        -   Basic/Digest Authentication
        -   Elegant Key/Value Cookies
        -   Automatic Decompression
        -   Unicode Response Bodies
        -   HTTP(S) Proxy Support
        -   Multipart File Uploads
        -   Streaming Downloads
        -   Connection Timeouts
        -   Chunked Requests
        -   .netrc Support
        
        ---
        
        ## Beautiful Soup
        
        ![Beautiful Soup graphic](images/bs4.png)
        
        _Elixir and Tonic_
        "The Screen-Scraper's Friend"
        [Beautiful Soup Documentation](http://www.crummy.com/software/BeautifulSoup/bs4/doc/)
        Copyright (c) 2004-2019 Leonard Richardson
        MIT License
        
        > Beautiful Soup uses a pluggable XML or HTML parser to parse a (possibly invalid) document into a tree representation. Beautiful Soup provides methods and Pythonic idioms that make it easy to navigate, search, and modify the parse tree.
        
        ---
        
        ## Flask
        
        ![Flask](images/flask.png)
        
        _Web development, one drop at a time_
        [Flask Documentation](https://palletsprojects.com/p/flask/)
        
        > Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja and has become one of the most popular Python web application frameworks.
        
        [1]: (https://www.github.com/skeptycal/autosys)
        [link_netlify]: (https://app.netlify.com/sites/mystifying-keller-ab5658/deploys)
        [link_travis]: (https://travis-ci.com/skeptycal/autosys)
        [link_twitter]: (https://www.twitter.com/skeptycal)
        [link_github]: (https://www.github.com/skeptycal)
        
Keywords: application,cache,cli,console,cython,debug,dev,devops,log,logger,logging,macOS,python,test,testing,text,utilities
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Testing
Classifier: Topic :: Utilities
Requires-Python: >=3.6
Description-Content-Type: text/markdown
