Skip to main content

No project description provided

Project description

GitHub top language Repository size Issues License Commit activity Last commit PyPI Downloads PyPI Total Downloads PyPI Version

AnsiToImg

Project Icon

Convert an ANSI string to an image. Great for adding terminal output into a readme.

Examples

Here is an example of some code and the images it produces:

Functions accept the following arguments:

  • ansiText - text to process
  • fileName - name of the file to write to
  • theme - a base24 theme. Defaults to atom one dark
import sys
import os
from pathlib import Path
import platform
import ctypes
from catimage.catimage import generateHDColour

THISDIR = str(Path(__file__).resolve().parent)
sys.path.insert(0, os.path.dirname(THISDIR))
from ansitoimg.render import ansiToSVG, ansiToRaster, ansiToSVGRaster, ansiToHTML, ansiToHTMLRaster


if platform.system() == "Windows":
	kernel32 = ctypes.windll.kernel32
	kernel32.SetConsoleMode(kernel32.GetStdHandle(-11), 7)

# Define ANSI text
example = "👋\033[32mHello\033[0m, \033[34mWorld\033[0m🌏\033[31m!\033[0m\n\033[41m👋\033[0m\033[43m🦄\033[0m\033[42m🐘\033[0m\033[3m\033[9m13\033[0m\033[1m3\033[0m\033[4m7\033[0m\033[46m🍄\033[0m\033[44m🎃\033[0m\033[45m🐦\033[0m"
example2 = "hello\nworld\n\033[42m\033[31mwe meet again\033[0m\nABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz😁😂🤣😃😄😅😆😉😊😋😎😍😘🥰😗😙😚☺🙂🤗🤩🤔🤨😐😑😶🙄😏😣😥😮🤐😯😪asdfghjk"
example3 = generateHDColour(THISDIR + "/test.png", 40)

# Print
print(example)
print()
print(example2)
print()
print(example3)
print()

# To SVG
ansiToSVG(example, THISDIR + "/example.svg")
ansiToSVG(example2, THISDIR + "/example2.svg")
ansiToSVG(example3, THISDIR + "/example3.svg")

# To Raster
ansiToRaster(example, THISDIR + "/example.png")
ansiToRaster(example2, THISDIR + "/example2.png")
ansiToRaster(example3, THISDIR + "/example3.png")

# To SVGRaster
ansiToSVGRaster(example, THISDIR + "/svgExample.png")
ansiToSVGRaster(example2, THISDIR + "/svgExample2.png")
ansiToSVGRaster(example3, THISDIR + "/svgExample3.png")

# To HTML
ansiToHTML(example, THISDIR + "/example.html")
ansiToHTML(example2, THISDIR + "/example2.html")
ansiToHTML(example3, THISDIR + "/example3.html")

# To HTMLRaster
ansiToHTMLRaster(example, THISDIR + "/htmlExample.png")
ansiToHTMLRaster(example2, THISDIR + "/htmlExample2.png")
ansiToHTMLRaster(example3, THISDIR + "/htmlExample3.png")

SVG Image

example

example2

example3

Raster Image

example

example2

example3

SVGRaster Image

example

example2

example3

HTML/ HTMLRaster Image

example

example2

example3

Windows Terminal

winterm

Choosing ansiToSVG, ansiToRaster, ansiToSVGRaster, ansiToHTML or ansiToHTMLRaster

ansiToSVG

This is better for the vast majority of cases as the image sizes are smaller for reasonably simple ANSI sequences. The image size scales proportionally with the length of the ANSI sequence. A large number of applications tend to opt for shorter sequences for output making ansiToSVG the better option. ansiToSVG also handles emoji as well as the OS does. For instance, on Windows 10 one can expect full colour emoji. Image sizes can get out of hand for some cases such as catimage output as those tend to be very long ANSI sequences.

ansiToRaster

The image size does not scale to the length of the ANSI sequence but does scale to the number of lines of terminal output. This is ideal for output of complex ANSI sequences that would be huge if ansiToSVG were used. However, emojis are in black and white and show quite poorly on coloured backgrounds.

ansiToSVGRaster

Takes the advantages that ansiToRaster has whilst keeping colour emojis, Yay! This uses pyppeteer to fire up a headless browser which opens the SVG and takes a screenshot.

ansiToHTML

Has the same advantages and disadvantages of ansiToSVG though this is not suitable to be included in a GitHub readme

ansiToHTMLRaster

Has the same advantages and disadvantages of ansiToSVGRaster

Docs

See the Docs for more information.

Install With PIP

pip install ansitoimg

Head to https://pypi.org/project/ansitoimg/ for more info

Language information

Built for

This program has been written for Python 3 and has been tested with Python version 3.9.0 https://www.python.org/downloads/release/python-380/.

Install Python on Windows

Chocolatey

choco install python

Download

To install Python, go to https://www.python.org/ and download the latest version.

Install Python on Linux

Apt

sudo apt install python3.9

How to run

With VSCode

  1. Open the .py file in vscode
  2. Ensure a python 3.9 interpreter is selected (Ctrl+Shift+P > Python:Select Interpreter > Python 3.9)
  3. Run by pressing Ctrl+F5 (if you are prompted to install any modules, accept)

From the Terminal

./[file].py

Download Project

Clone

Using The Command Line

  1. Press the Clone or download button in the top right
  2. Copy the URL (link)
  3. Open the command line and change directory to where you wish to clone to
  4. Type 'git clone' followed by URL in step 2
$ git clone https://github.com/FHPythonUtils/AnsiToImg

More information can be found at https://help.github.com/en/articles/cloning-a-repository

Using GitHub Desktop

  1. Press the Clone or download button in the top right
  2. Click open in desktop
  3. Choose the path for where you want and click Clone

More information can be found at https://help.github.com/en/desktop/contributing-to-projects/cloning-a-repository-from-github-to-github-desktop

Download Zip File

  1. Download this GitHub repository
  2. Extract the zip archive
  3. Copy/ move to the desired location

Community Files

Licence

MIT License Copyright (c) FredHappyface (See the LICENSE for more information.)

Changelog

See the Changelog for more information.

Code of Conduct

Online communities include people from many backgrounds. The Project contributors are committed to providing a friendly, safe and welcoming environment for all. Please see the Code of Conduct for more information.

Contributing

Contributions are welcome, please see the Contributing Guidelines for more information.

Security

Thank you for improving the security of the project, please see the Security Policy for more information.

Support

Thank you for using this project, I hope it is of use to you. Please be aware that those involved with the project often do so for fun along with other commitments (such as work, family, etc). Please see the Support Policy for more information.

Rationale

The rationale acts as a guide to various processes regarding projects such as the versioning scheme and the programming styles used. Please see the Rationale for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

blackt-2021a2.tar.gz (64.6 kB view details)

Uploaded Source

Built Distribution

blackt-2021a2-py3-none-any.whl (63.2 kB view details)

Uploaded Python 3

File details

Details for the file blackt-2021a2.tar.gz.

File metadata

  • Download URL: blackt-2021a2.tar.gz
  • Upload date:
  • Size: 64.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.5 CPython/3.9.4 Windows/10

File hashes

Hashes for blackt-2021a2.tar.gz
Algorithm Hash digest
SHA256 f2c9cc45f9c741d9f62c878955dd7e788ae2d500ffec30a1ce9315ae521355d1
MD5 5431bd7d67d3734f00ac9cb4c3bb4b7f
BLAKE2b-256 de4cbfdd769af2bb0ac4fb8e6ac657fe73b76d4771f023303bd7644559135b61

See more details on using hashes here.

File details

Details for the file blackt-2021a2-py3-none-any.whl.

File metadata

  • Download URL: blackt-2021a2-py3-none-any.whl
  • Upload date:
  • Size: 63.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.5 CPython/3.9.4 Windows/10

File hashes

Hashes for blackt-2021a2-py3-none-any.whl
Algorithm Hash digest
SHA256 8cc8347b7e53d38f465ec519216e2ef8c0cb8e34d7e5526bea774b2d85ab59a5
MD5 ae100382631d8b57bbc59e00431d08a9
BLAKE2b-256 21d160dcd83c39a3b3155ef36d5ec8d6502bcaa59236be788bbf35d61dd7c7cc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page