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Custom bundler extensions
The notebook server supports the writing of bundler extensions that transform, package, and download/deploy notebook files. As a developer, you need only write a single Python function to implement a bundler. The notebook server automatically generates a File -> Download as or File -> Deploy as menu item in the notebook front-end to trigger your bundler.
Here are some examples of what you can implement using bundler extensions:
- Convert a notebook file to a HTML document and publish it as a post on a blog site
- Create a snapshot of the current notebook environment and bundle that definition plus notebook into a zip download
- Deploy a notebook as a standalone, interactive dashboard
To implement a bundler extension, you must do all of the following:
- Declare bundler extension metadata in your Python package
- Write a bundle function that responds to bundle requests
- Instruct your users on how to enable/disable your bundler extension
The following sections describe these steps in detail.
Declaring bundler metadata
You must provide information about the bundler extension(s) your
package provides by implementing a _jupyter_bundlerextensions_paths function. This
function can reside anywhere in your package so long as it can be
imported when enabling the bundler extension. (See enabling-bundlers
.)
# in mypackage.hello_bundler
def _jupyter_bundlerextension_paths():
"""Example "hello world" bundler extension"""
return [{
'name': 'hello_bundler', # unique bundler name
'label': 'Hello Bundler', # human-readable menu item label
'module_name': 'mypackage.hello_bundler', # module containing bundle()
'group': 'deploy' # group under 'deploy' or 'download' menu
}]
Note that the return value is a list. By returning multiple dictionaries in the list, you allow users to enable/disable sets of bundlers all at once.
Writing the bundle function
At runtime, a menu item with the given label appears either in the File -> Deploy as or File -> Download as menu depending on the group value in your metadata. When a user clicks the menu item, a new browser tab opens and notebook server invokes a bundle function in the module_name specified in the metadata.
You must implement a bundle function that matches the signature of the following example:
# in mypackage.hello_bundler
def bundle(handler, model):
"""Transform, convert, bundle, etc. the notebook referenced by the given
model.
Then issue a Tornado web response using the `handler` to redirect
the user's browser, download a file, show a HTML page, etc. This function
must finish the handler response before returning either explicitly or by
raising an exception.
Parameters
----------
handler : tornado.web.RequestHandler
Handler that serviced the bundle request
model : dict
Notebook model from the configured ContentManager
"""
'I bundled {}!'.format(model['path'])) handler.finish(
Your bundle function is free to do whatever it wants with the request and respond in any manner. For example, it may read additional query parameters from the request, issue a redirect to another site, run a local process (e.g., nbconvert), make a HTTP request to another service, etc.
The caller of the bundle function is @tornado.gen.coroutine decorated and wraps its call with torando.gen.maybe_future. This behavior means you may handle the web request synchronously, as in the example above, or asynchronously using @tornado.gen.coroutine and yield, as in the example below.
from tornado import gen
@gen.coroutine
def bundle(handler, model):
# simulate a long running IO op (e.g., deploying to a remote host)
yield gen.sleep(10)
# now respond
'I spent 10 seconds bundling {}!'.format(model['path'])) handler.finish(
You should prefer the second, asynchronous approach when your bundle operation is long-running and would otherwise block the notebook server main loop if handled synchronously.
For more details about the data flow from menu item click to bundle
function invocation, see bundler-details
.
Enabling/disabling bundler extensions
The notebook server includes a command line interface (CLI) for enabling and disabling bundler extensions.
You should document the basic commands for enabling and disabling your bundler. One possible command for enabling the hello_bundler example is the following:
jupyter bundlerextension enable --py mypackage.hello_bundler --sys-prefix
The above updates the notebook configuration file in the current conda/virtualenv environment (--sys-prefix) with the metadata returned by the mypackage.hellow_bundler._jupyter_bundlerextension_paths function.
The corresponding command to later disable the bundler extension is the following:
jupyter bundlerextension disable --py mypackage.hello_bundler --sys-prefix
For more help using the bundlerextension subcommand, run the following.
jupyter bundlerextension --help
The output describes options for listing enabled bundlers, configuring bundlers for single users, configuring bundlers system-wide, etc.
Example: IPython Notebook bundle (.zip)
The hello_bundler example in this documentation is simplistic in the name of brevity. For more meaningful examples, see notebook/bundler/zip_bundler.py and notebook/bundler/tarball_bundler.py. You can enable them to try them like so:
jupyter bundlerextension enable --py notebook.bundler.zip_bundler --sys-prefix
jupyter bundlerextension enable --py notebook.bundler.tarball_bundler --sys-prefix
Bundler invocation details
Support for bundler extensions comes from Python modules in notebook/bundler and JavaScript in notebook/static/notebook/js/menubar.js. The flow of data between the various components proceeds roughly as follows:
- User opens a notebook document
- Notebook front-end JavaScript loads notebook configuration
- Bundler front-end JS creates menu items for all bundler extensions in the config
- User clicks a bundler menu item
- JS click handler opens a new browser window/tab to <notebook base_url>/bundle/<path/to/notebook>?bundler=<name> (i.e., a HTTP GET request)
- Bundle handler validates the notebook path and bundler name
- Bundle handler delegates the request to the bundle function in the bundler's module_name
- bundle function finishes the HTTP request