##// END OF EJS Templates
Checks for metaclass's __repr__ in _type_pprint...
Checks for metaclass's __repr__ in _type_pprint RepresentationPrinter has a type pprinter for 'type' subclasses. It will thus be called to print a class object (instance of 'type), avoiding the __repr__ of the metaclass. This patch checks for an overridden __repr__ before using the custom type-representation logic.

File last commit:

r17295:44edfeeb
r18370:f09f0606
Show More
kernels.rst
152 lines | 6.3 KiB | text/x-rst | RstLexer

Making kernels for IPython

A 'kernel' is a program that runs and introspects the user's code. IPython includes a kernel for Python code, and people have written kernels for several other languages.

When IPython starts a kernel, it passes it a connection file. This specifies how to set up communications with the frontend.

There are two options for writing a kernel:

  1. You can reuse the IPython kernel machinery to handle the communications, and just describe how to execute your code. This is much simpler if the target language can be driven from Python. See :doc:`wrapperkernels` for details.
  2. You can implement the kernel machinery in your target language. This is more work initially, but the people using your kernel might be more likely to contribute to it if it's in the language they know.

Connection files

Your kernel will be given the path to a connection file when it starts (see :ref:`kernelspecs` for how to specify the command line arguments for your kernel). This file, which is accessible only to the current user, will contain a JSON dictionary looking something like this:

{
  "control_port": 50160,
  "shell_port": 57503,
  "transport": "tcp",
  "signature_scheme": "hmac-sha256",
  "stdin_port": 52597,
  "hb_port": 42540,
  "ip": "127.0.0.1",
  "iopub_port": 40885,
  "key": "a0436f6c-1916-498b-8eb9-e81ab9368e84"
}

The transport, ip and five _port fields specify five ports which the kernel should bind to using ZeroMQ. For instance, the address of the shell socket in the example above would be:

tcp://127.0.0.1:57503

New ports are chosen at random for each kernel started.

signature_scheme and key are used to cryptographically sign messages, so that other users on the system can't send code to run in this kernel. See :ref:`wire_protocol` for the details of how this signature is calculated.

Handling messages

After reading the connection file and binding to the necessary sockets, the kernel should go into an event loop, listening on the hb (heartbeat), control and shell sockets.

:ref:`Heartbeat <kernel_heartbeat>` messages should be echoed back immediately on the same socket - the frontend uses this to check that the kernel is still alive.

Messages on the control and shell sockets should be parsed, and their signature validated. See :ref:`wire_protocol` for how to do this.

The kernel will send messages on the iopub socket to display output, and on the stdin socket to prompt the user for textual input.

Kernel specs

A kernel identifies itself to IPython by creating a directory, the name of which is used as an identifier for the kernel. These may be created in a number of locations:

  Unix Windows
System

/usr/share/ipython/kernels

/usr/local/share/ipython/kernels

%PROGRAMDATA%\ipython\kernels
User ~/.ipython/kernels

The user location takes priority over the system locations, and the case of the names is ignored, so selecting kernels works the same way whether or not the filesystem is case sensitive.

Inside the directory, the most important file is kernel.json. This should be a JSON serialised dictionary containing the following keys and values:

  • argv: A list of command line arguments used to start the kernel. The text {connection_file} in any argument will be replaced with the path to the connection file.
  • display_name: The kernel's name as it should be displayed in the UI. Unlike the kernel name used in the API, this can contain arbitrary unicode characters.
  • language: The programming language which this kernel runs. This will be stored in notebook metadata. This may be used by syntax highlighters to guess how to parse code in a notebook, and frontends may eventually use it to identify alternative kernels that can run some code.
  • codemirror_mode (optional): The codemirror mode to use for code in this language. This can be a string or a dictionary, as passed to codemirror config. The string from language will be used if this is not provided.
  • env (optional): A dictionary of environment variables to set for the kernel. These will be added to the current environment variables before the kernel is started.
  • help_links (optional): A list of dictionaries, each with keys 'text' and 'url'. These will be displayed in the help menu in the notebook UI.

For example, the kernel.json file for IPython looks like this:

{
 "argv": ["python3", "-c", "from IPython.kernel.zmq.kernelapp import main; main()",
          "-f", "{connection_file}"],
 "codemirror_mode": {
  "version": 3,
  "name": "ipython"
 },
 "display_name": "IPython (Python 3)",
 "language": "python"
}

To see the available kernel specs, run:

ipython kernelspec list

To start the terminal console or the Qt console with a specific kernel:

ipython console --kernel bash
ipython qtconsole --kernel bash

To use different kernels in the notebook, select a different kernel from the dropdown menu in the top-right of the UI.