{ "info": { "author": "Michael Sanders", "author_email": "michael.sanders@fastmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Environment :: Win32 (MS Windows)", "Environment :: X11 Applications", "Intended Audience :: Developers", "Natural Language :: English", "Operating System :: MacOS", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Rust" ], "description": "For more information, see the [GitHub Repository](https://github.com/autopilot-rs/autopy).\n\n[![Travis Build Status](https://travis-ci.org/autopilot-rs/autopy.svg?branch=master)](https://travis-ci.org/autopilot-rs/autopy)\n[![Appveyor Build Status](https://ci.appveyor.com/api/projects/status/2p5xap3tv4qkwsd1?svg=true)](https://ci.appveyor.com/project/msanders/autopy)\n\nAutoPy Introduction and Tutorial\n=================================\n\n## Introduction\n\nAutoPy is a simple, cross-platform GUI automation library for Python. It\nincludes functions for controlling the keyboard and mouse, finding colors and\nbitmaps on-screen, and displaying alerts.\n\nCurrently supported on macOS, Windows, and X11 with the XTest extension.\n\n## Getting Started\n\n### Requirements\n\n* Python 2.7, or Python 3.5 and up.\n* Rust 1.23.0-nightly 2019-02-06 or later (unless using a binary wheel\n distribution).\n* macOS 10.6 and up.\n* Windows 7 and up.\n* X11 with the XTest extension.\n\n### Installation\n\nFirst, see if a binary wheel is available for your machine by running:\n\n $ pip install -U autopy\n\nIf that fails, install [rustup](https://rustup.rs) and then run:\n\n $ rustup default nightly\n $ pip install -U setuptools-rust\n $ pip install -U autopy\n\nAnother option is to compile from the latest source on the GitHub repository:\n\n $ git clone git://github.com/autopilot-rs/autopy-rs.git\n $ cd autopy\n $ rustup default nightly\n $ pip install -r requirements.txt\n $ python setup.py build\n # python setup.py install\n\nAdditional instructions for installing from source on Windows are available [here](https://github.com/autopilot-rs/autopy/blob/master/scripts/windows-setup.md).\n\n### Hello World\n\nThe following is the source for a \"hello world\" script in autopy. Running this\ncode will cause an alert dialog to appear on every major platform:\n\n```python\nimport autopy\ndef hello_world():\n autopy.alert.alert(\"Hello, world\")\nhello_world()\n```\n\n![Cross platform alerts](https://github.com/msanders/autopy/raw/gh-pages/alerts.png)\n\n## Tutorials\n\n### Controlling the Mouse\n\nAutoPy includes a number of functions for controlling the mouse. For a full\nlist, consult the [API\nReference](https://www.autopy.org/documentation/api-reference/mouse.html). E.g.,\nto immediately \"teleport\" the mouse to the top left corner of the screen:\n\n\t>>> import autopy\n\t>>> autopy.mouse.move(1, 1)\n\nTo move the mouse a bit more realistically, we could use:\n\n\t>>> import autopy\n\t>>> autopy.mouse.smooth_move(1, 1)\n\nEven better, we could write our own function to move the mouse across the screen\nas a sine wave:\n\n```python\nimport autopy\nimport math\nimport time\nimport random\nimport sys\n\nTWO_PI = math.pi * 2.0\n\n\ndef sine_mouse_wave():\n \"\"\"\n Moves the mouse in a sine wave from the left edge of\n the screen to the right.\n \"\"\"\n width, height = autopy.screen.size()\n height /= 2\n height -= 10 # Stay in the screen bounds.\n\n for x in range(int(width)):\n y = int(height * math.sin((TWO_PI * x) / width) + height)\n autopy.mouse.move(x, y)\n time.sleep(random.uniform(0.001, 0.003))\n\n\nsine_mouse_wave()\n```\n\n\"Demonstration\n\n### Working with Bitmaps\n\nAll of autopy's bitmap routines can be found in the module `autopy.bitmap`. A\nuseful way to explore autopy is to use Python's built-in `help()` function, for\nexample in `help(autopy.bitmap.Bitmap)`. AutoPy's functions are documented with\ndescriptive docstrings, so this should show a nice overview.\n\n\t>>> import autopy\n\t>>> autopy.bitmap.capture_screen()\n\t\n\nThis takes a screenshot of the main screen, copies it to a bitmap, displays its\nmemory address, and then immediately destroys it. Let's do something more\nuseful, like look at its pixel data:\n\n\t>>> import autopy\n\t>>> autopy.bitmap.capture_screen().get_color(1, 1)\n\t15921906\n\nAutoPy uses a coordinate system with its origin starting at the top-left, so\nthis should return the color of pixel at the top-left corner of the screen. The\nnumber shown looks a bit unrecognizable, but we can format it with Python's\nbuilt-in `hex` function:\n\n\t>>> import autopy\n\t>>> hex(autopy.bitmap.capture_screen().get_color(1, 1))\n\t'0xF2F2F2'\n\nAlternatively, we can use:\n\n\n\t>>> import autopy\n\t>>> autopy.color.hex_to_rgb(autopy.screen.get_color(1, 1))\n\t(242, 242, 242)\n\nwhich converts that hex value to a tuple of `(r, g, b)` values. (Note that\n`autopy.screen.get_color()`, used here, is merely a more convenient and\nefficient version of `autopy.bitmap.capture_screen().get_color()`.)\n\nTo save the screen capture to a file, we can use:\n\n\t>>> import autopy\n\t>>> autopy.bitmap.capture_screen().save('screengrab.png')\n\nThe filetype is either parsed automatically from the filename, or given as an\noptional parameter. Currently only jpeg and png files are supported.\n\n\t>>> import autopy\n\t>>> autopy.bitmap.Bitmap.open('needle.png')\n\t\n\nAside from analyzing a bitmap's pixel data, the main use for loading a bitmap is\nfinding it on the screen or inside another bitmap. For example, the following\nprints the coordinates of the first image found in a bitmap (scanned from left\nto right, top to bottom):\n\n```python\nimport autopy\n\n\ndef find_image_example():\n needle = autopy.bitmap.Bitmap.open('needle.png')\n haystack = autopy.bitmap.Bitmap.open('haystack.png')\n\n pos = haystack.find_bitmap(needle)\n if pos:\n print(\"Found needle at: %s\" % str(pos))\n\nfind_image_example()\n```\n\n## Projects using AutoPy\n\n- [AutoPyDriverServer](https://github.com/daluu/autopydriverserver), AutoPy\n through WebDriver or a webdriver-compatible server.\n- [guibot](https://github.com/intra2net/guibot), A tool for GUI automation using\n a variety of computer vision and desktop control backends.\n- [spynner](https://github.com/makinacorpus/spynner), Programmatic web browsing\n module with AJAX support for Python.\n- [SUMO](https://github.com/eclipse/sumo), An open source, highly portable,\n microscopic and continuous road traffic simulation package designed to handle\n large road networks.\n\n## API Reference\n\nHope you enjoy using autopy! 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