Mime Renderer Extensions
Like it's cousins, Jupyter Notebooks and JupyterLab, Terminal IPython can be thought to render a number of mimetypes in the shell. This can be used to either display inline images if your terminal emulator supports it; or open some display results with external file viewers.
Registering new mimetype handlers can so far only be done by extensions and requires 4 steps:
- Define a callable that takes 2 parameters:data and metadata; return value of the callable is so far ignored. This callable is responsible for "displaying" the given mimetype. Which can be sending the right escape sequences and bytes to the current terminal; or open an external program. -
- Appending the right mimetype to ipython.display_formatter.active_types for IPython to know it should not ignore those mimetypes.
- Enabling the given mimetype: ipython.display_formatter.formatters[mime].enabled = True
- Registering above callable with mimetype handler: ipython.mime_renderers[mime] = handler
Here is a complete IPython extension to display images inline and convert math to png, before displaying it inline for iterm2 on macOS
from base64 import encodebytes from IPython.lib.latextools import latex_to_png def mathcat(data, meta): png = latex_to_png(f'$${data}$$'.replace('\displaystyle', '').replace('$$$', '$$')) imcat(png, meta) IMAGE_CODE = '\033]1337;File=name=name;inline=true;:{}\a' def imcat(image_data, metadata): try: print(IMAGE_CODE.format(encodebytes(image_data).decode())) # bug workaround except: print(IMAGE_CODE.format(image_data)) def register_mimerenderer(ipython, mime, handler): ipython.display_formatter.active_types.append(mime) ipython.display_formatter.formatters[mime].enabled = True ipython.mime_renderers[mime] = handler def load_ipython_extension(ipython): register_mimerenderer(ipython, 'image/png', imcat) register_mimerenderer(ipython, 'image/jpeg', imcat) register_mimerenderer(ipython, 'text/latex', mathcat)
This example only work for iterm2 on macOS and skip error handling for brevity. One could also invoke an external viewer with subprocess.run() and a temporary file, which is left as an exercise.