.local/share/jupyter/nbextensions/code_prettify/README_code_prettify.md

A Code Prettifier
=================

This nbextension reformats/prettifies code in notebook code cells.

Under the hood, it uses a call to the current notebook kernel to reformat the
code.
Thus the actual prettifier package has to be callable from the current kernel
language.

With an appropriately-configured prettifier for the kernel in use, the
nbextension provides

- a toolbar button (configurable to be added or not)

- a keyboard shortcut for reformatting the current code-cell (default shortcut
  is `Ctrl-L`, can also be configured not to add the keyboard shortcut).

- a keyboard shortcut for reformatting the whole notebook (default shortcut
  is `Ctrl-Shift-L`, can also be configured not to add the keyboard shortcut).

Syntax shall be correct. The nbextension may also point out basic syntax errors.

![](demo-py.gif)
![](demo-R.gif)
![](demo-jv.gif)


Compatible Kernels
------------------

Example implementations are provided for prettifiers for ipython, ir and
ijavascript kernels which should work out of the box (assuming availability of
the relevant kernel-specific [prerequisites] mentioned below), but the
kernel-specific prettifier calls are configurable, so the model is applicable
to essentially any kernel language and prettifier library.

Other languages may be added as defaults in the future, but given that there
are more than 50 [kernels] available for Jupyter, it is not easily possible to
support all of them out of the box, unless people with experience in the
relevant kernels have the time to contribute code. For information on how the
reformatting takes place, and how to adapt it for your particular
kernel/prettifier, see the [options] and [internals] sections below.
If you implement a language that isn't yet provided by default, please submit a
PR or let us know to add it to the repo :)

Under the hood, this nbextension's functionality is provided by the
[KerneExecOnCells library], a shared library for creating Jupyter nbextensions
which transform code cell text using calls to the active kernel.


Prerequisites
-------------

Of course, you must have the necessary kernel-specific packages installed for
the prettifier call to work:

- for the default python implementation, the [yapf] module is required:

        pip install yapf

  Others you might consider using include [autopep8] - see [README_autopep8.md].

- for R, the default implementation uses the [formatR] and [jsonlite] packages:

  ```r
  install.packages(c("formatR", "jsonlite"), repos="http://cran.rstudio.com")
  ```

- for [ijavascript], the [js-beautify] package is used:
  (*Under linux, in the root of your user tree = ~*)

      npm install js-beautify

  Under Windows, you may then need to set the `NODE_PATH` environment variable
  (see [this question on stackoverflow]) to it to `%AppData%\npm\node_modules`
  (Windows 7/8/10).
  To be done with it once and for all, add this as a System variable in the
  Advanced tab of the System Properties dialog.


Options
-------

All options are provided by the [KerneExecOnCells library]. - see the
[internals] section below for details.
There are a few nbextension-wide options, configurable using the
[jupyter_nbextensions_configurator] or by editing the `notebook` section config
file directly.
The options are as follows:

- `code_prettify.add_toolbar_button`:
  Whether to add a toolbar button to transform the selected cell(s).
  Defaults to `true`.

- `code_prettify.button_icon`:
  A font-awesome class defining the icon used for the toolbar button and
  actions. See [fontawesome] for available icon classes.
  Defaults to `fa-legal`.

- `code_prettify.button_label`:
  Toolbar button label text. Also used in the actions' help text.
  Defaults to `Code prettify`.

- `code_prettify.register_hotkey`:
  Whether to register hotkeys to transform the selected cell(s)/whole notebook.
  Defaults to `true`.

- `code_prettify.hotkeys.process_all`:
  Hotkey to use to transform all the code cells in the notebook.
  Defaults to `Ctrl-Shift-L`.

- `code_prettify.hotkeys.process_selected`:
  Hotkey to use to transform the selected cell(s).
  Defaults to `Ctrl-L`.

- `code_prettify.show_alerts_for_not_supported_kernel`:
  Whether to show alerts if the kernel is not supported.
  Defaults to `false`.

- `code_prettify.show_alerts_for_errors`:
  Whether to show alerts for errors in the kernel calls.
  Defaults to `true`.

- `code_prettify.kernel_config_map_json`:
  The value of this key is a string which can be parsed into a json object
  giving the config for each kernel language.

  The following give the per-kernel options of the parsed json, using the
  language key `python `:

  * `code_prettify.kernel_config_map_json.python.library`:
    String to execute in the kernel in order to load any necessary kernel
    libraries.

  * `code_prettify.kernel_config_map_json.python.replacements_json_to_kernel`:
    a list of pairs of strings, used as arguments to javascript's
    `String.replace(from, to)` to translate from a json string into a valid
    representation of the same string in the kernel language. Since json
    strings are particularly simple, this can often (as with the python
    language) be left as the default, an empty list.

  * `code_prettify.kernel_config_map_json.python.prefix` and
    `code_prettify.kernel_config_map_json.python.postfix`:
    Strings added as bookends to the kernel string (translated from the json
    string using the replacements above) to make up the kernel prettifier call
    kernel's prettifier libraries.

  * `code_prettify.kernel_config_map_json.python.trim_formatted_text`:
    Whether to trim whitespace from the transformed cell text. Since jupyter
    cells don't usually have leading or trailing whitespace, the default
    behaviour is to trim the transformed text, in order to prevent the
    transform adding extra newlines at the end (a common behaviour for source
    files, where having a trailing newline is often considered good practice).


Internals
---------

Under the hood, this nbextension uses the [KerneExecOnCells library], a shared
library for creating Jupyter nbextensions which transform code cell text using
calls to the active kernel.

The model is essentially:

1.  The cell text is grabbed by client-side javascript, then turned into a json
    string using javascript `JSON.stringify`. Since json-compatible strings are
    a particularly simple string format, which is compatible with many other
    programming languages without much modification (e.g. a valid json string
    is also a valid string in python 3, and also in python 2 when prefixed with
    a `u`), and easily converted for use in others (because of its simplicity).

2.  Optional regex replacements are used to translate the json-format string
    into a valid kernel string. Python, R and javascript don't require this
    step, but other  languages may do, so it's implemented for flexibility
    using the per-kernel config key `replacements_json_to_kernel`, which is a
    list of pairs of arguments to javascript `String.replace`.

3.  The kernel-specific prettifier call is then composed from
    `kernel_config.prefix` + `kernel_text_string` + `kernel_config.postfix` and
    sent to the kernel for execution. This kernel call is expected to get the
    formatted cell text _printed_ as a json-compatible string. Since most
    kernel languages have json packages, this should hopefully be easy to
    arrange. The reason for the printing text rather than simply displaying it,
    is that it prevents us having to translate from a kernel string
    representing a json string.

4.  The callback for the kernel execution in client-side javascript parses the
    printed json-format string, optionally trims trailing whitespace according
    to the `trim_formatted_text` key (which defaults to `true`) in the
    per-kernel config, and then sets the cell text using the result.

The process is probably best illustrated using an example for the python
implementation:

1.  **At nbextension load**, the `code_prettify.kernel_config_map_json` config
    option is parsed to give the json object

    ```json
    {
      "python": {
        "library": "import json\nimport yapf.yapflib.yapf_api",
        "prefix": "print(json.dumps(yapf.yapflib.yapf_api.FormatCode(u",
        "postfix": ")[0]))"
      }
    }
    ```

    (other kernel languages are omitted for clarity).

2.  **On kernel becoming ready**, the nbextension looks up the config for the
    kernel's language (in our example, this is the `python` key of the kernel
    config json object above). It then sends the kernel config's `library`
    string to the kernel for execution. Thus the python implementation above
    executes

    ```python
    import json
    import yapf.yapflib.yapf_api
    ```

3.  **On requesting a cell be prettified** which can happen by clicking the
    toolbar, or with a (configurable) hotkey, the following happens:

    Say the cell to be formatted contains the following ugly python code:

    ```python
    msg= 'hello '+"world"
    print  (
                        msg    )
    ```

    Then the result of the `JSON.stringify` call will be a string containing

    ```json
    "msg= 'hello '+\"world\"\nprint  (\n                    msg    )"
    ```

    (note the opening and closing quotes). Concatenating this with the prefix &
    postfix strings from the python kernel config above, gives us the kernel
    code to execute. The call sent to the python kernel is therefore

    ```python
    print(json.dumps(yapf.yapflib.yapf_api.FormatCode(u"msg= 'hello '+\"world\"\nprint  (\n                    msg    )")[0]))
    ```

4.  What gets 'printed' by the kernel (i.e. returned to the javascript stream
    callback) is the following json-format string:

    ```json
    "msg = 'hello ' + \"world\"\nprint(msg)\n"
    ```

    The default is to trim whitepace from the returned prettified text, which
    results in the final prettified python code for the cell:

    ```python
    msg = 'hello ' + "world"
    print(msg)
    ```


History
-------

- [@jfbercher], august 14, 2016, first version, named `yapf_ext`
- [@jfbercher], august 19, 2016, second version `code_prettify`
  - introduced support for R and javascript.
  - changed extension name from `yapf_ext` to `code_prettify`
- [@jcb91], december 2016
  - made addition of toolbar button & hotkey configurable
  - reworked to avoid regex replacements for conversion to/from kernel string
    formats, in favour of json-string interchange
  - made kernel-specific prettifier calls configurable, allowing support for
    different prettifiers & arbitrary kernels
  - improved documentation
- [@jfbercher], december 2016-january 2017
  - added a configurable shortkey to reflow the whole notebook
  - extracted most of the code to build a general library of functions,
    `kernel_exec_on_cell.js`, which can be used for all nbextensions which
    needs to exec some code (via the current kernel) on the text from cells.


[@jcb91]: https://github.com/jcb91
[@jfbercher]: https://github.com/jfbercher
[autopep8]: https://github.com/hhatto/autopep8
[formatR]: https://yihui.name/formatr
[fontawesome]: https://fontawesome.com/icons
[ijavascript]: https://n-riesco.github.io/ijavascript
[internals]: #Internals
[js-beautify]: https://github.com/beautify-web/js-beautify
[jsonlite]: https://github.com/jeroen/jsonlite
[jupyter_nbextensions_configurator]: https://github.com/Jupyter-contrib/jupyter_nbextensions_configurator
[KerneExecOnCells library]: README.md
[kernels]: https://github.com/ipython/ipython/wiki/IPython-kernels-for-other-languages
[options]: #Options
[prerequisites]: #Prerequisites
[README_autopep8.md]: README_autopep8.md
[this question on stackoverflow]: https://stackoverflow.com/questions/9587665/nodejs-cannot-find-installed-module-on-windows
[yapf]: https://github.com/google/yapf