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Desktop Automation Framework. Drive your mouse and keyboard with an easy to use language.

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hofstadter-io/self-driving-desktop

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self-driving-desktop

Desktop Automation Framework. Drive your keyboard and mouse with text files.

pip3 install self-driving-desktop

Running

Playing a playlist:

sdd playlist.txt

Recording a playlist:

sdd --record recording.txt

Playlists

# Import other playlist files
import "test/main.txt";

# Create Coordinates
coords {
  "center": {
    "1080p": [960, 540],
    "720p":  [640, 360]
  }
};

# Create a playlist
playlist "openChrome" {
  # Run programs in the shell
  shell "google-chrome";
  sleep 2.0;

  # Name the new window
  active "hofChrome";
  sleep 0.5;

  # Use hotkeys to arrange
  hotkeys "winleft" "right";
  sleep 1;
};

playlist "closeChrome" {
  # Focus a named window
  focus "hofChrome";
  hotkeys "alt" "f4";
  sleep 1;
};

playlist "readTheDocs" {
  # Go to a webpage
  focus "hofChrome";
  sleep 0.2;

  # Type the URL
  write "https://docs.hofstadter.io\n" 0.05;

  # Goto an imported coordinate
  coord "getting-started" 0.5;
};

# Move the mouse in a square
playlist "repeatTest" {
  mm 100 100 1;
  mm 1000 100 1;
  mm 1000 500 1;
  mm 100 500 1;
};

# Our main playlist
playlist "main" {
  # Goto a named coordinate, also with offset
  coord "center" 1;
  coord "center" 250 -250 1;

  # Operate the browser
  play "openChrome";
  play "readTheDocs";
  play "closeChrome";

  # Play a playlist multiple times
  play "repeatTest" 4;

};

# Set screen size
screen "1080p";

# Set the global delay between steps
delay 0.025;

# Finally, play our main playlist
play "main";

Grammar

Top-level:

  • file has steps and playlists
  • steps are the only thing run
  • play runs a playlist
# relative imports from file
import "relative/path.txt";

# named coordinates
coords {
  # coord name
  "center": {
    # screen identifier
    "1080p": [960, 540],
    "720p":  [640, 360]
  }
};

# define playlists
playlist "my-playlist" {
  steps...;
};

playlist "main" {
  steps...;
  # run playlists from playlists
  play "my-playlist"
}

# set the screen identifier
screen "1080p";

# run a playlist
play "my-playlist" "main";

Steps:

  • play "name" "nameB" ... [N];: run one or more playlists, optionally repeat N times.
  • delay x.y;: set delay between steps to x.y seconds
  • sleep x.y;: sleep for x.y seconds
  • screen "screen";: set the screen resolution identifier
  • shell "quoted strings"+;: exec a command from the program

windows:

  • active "someName";: name the active window
  • focus "someName";: focus a named window

mouse:

  • mouse x y s;: move the mouse to x,y in s seconds
  • coord "name" s;: move the mouse to a named coordinate in s seconds
  • coord "name" x y s;: move to a named coordinate with offset in s seconds
  • click;: click the left mouse button
  • btnclick [left,middle,right];
  • btndown [left,middle,right];
  • btnup [left,middle,right];
  • drag [left,middle,right] x y s;: drag the mouse to x,y in s seconds
  • scroll n;: scroll n lines, negative is up
  • hscroll n;: horizontal scroll n "clicks", negative is left

keyboard:

  • keypress "key";
  • keydown "key";
  • keyup "key";
  • hotkeys "quoted" "keys" ...;: press some keys together
  • write "quoted string\n";: type a string, "\n" is enter

clipboard:

  • copy;, just ctrl-c
  • paste;, just ctrl-v
  • save_clipboard "name"; save the clipboard contents to "name"
  • load_clipboard "name"; load the clipboard contents from "name"
  • copy_clipboard "name"; copy && save the clipboard contents to "name"
  • paste_clipboard "name"; load the clipboard contents from "name" && paste

all keys are from pyautogui

Grammer Definition

Recording

You can record your mouse and keyboard to a playlist file by:

sdd record.txt --record

Note, not all keys are working yet.

A keymap to fix some is here.

Development Setup

virtualenv --python python3 penv
source penv/bin/activate
pip install -r requirements.txt
export PYTHONPATH=.
python self_driving_desktop/__main__.py ...

Install from local repository:

git clone https://github.com/hofstadter-io/self-driving-desktop
pip3 install ./self-driving-desktop/