@jupyterlab/services

JupyterLab Services

Javascript client for the Jupyter services REST APIs

API Docs

REST API Docs

Note: All functions and classes using the REST API allow a serverSettings parameter to configure requests. Requests are made using the fetch API, which is available in modern browsers or via npm install fetch for node users. The whatwg-fetch npm package can be used to polyfill browsers that do not support the fetch API.

Package Install

Prerequisites

• node
• python

npm install --save @jupyterlab/services
conda install notebook  # notebook 4.3+ required

Source Build

Prerequisites

• git
• node 0.12+
• python

git clone https://github.com/jupyterlab/jupyterlab.git
cd packages/services
npm install
npm run build
conda install notebook  # notebook 4.3+ required

Rebuild

npm run clean
npm run build

Run Tests

Follow the source build instructions first.

npm test

Build Docs

Follow the source build instructions first.

npm run docs

Navigate to docs/index.html.

Supported Runtimes

The runtime versions which are currently known to work are listed below. Earlier versions may also work, but come with no guarantees.

• Node 0.12.7+
• IE 11+
• Firefox 32+
• Chrome 38+

Note: "requirejs" may need be included in a global context for Comm targets using the a target_module (in the classic Notebook). This can be as a <script> tag in the browser or by using the requirejs package in node (npm install requirejs and setting global.requirejs = require('requirejs');).

Starting the Notebook Server

Follow the package install instructions first.

The library requires a running Jupyter Notebook server, launched as:

jupyter notebook

Bundling for the Browser

Follow the package install instructions first.

See examples/browser for an example of using Webpack to bundle the library.

Note: Some browsers (such as IE11), require a polyfill for Promises. The example demonstrates the use of the polyfill. See also notes about the fetch API polyfill above.

Usage from Node.js

Follow the package install instructions first.

See examples/node for an example of using an ES5 node script.

Usage Examples

Note: This module is fully compatible with Node/Babel/ES6/ES5. The examples below are written in TypeScript using ES6 syntax. Simply omit the type declarations when using a language other than TypeScript. A translator such as Babel can be used to convert from ES6 -> ES5.

Kernel

import {
  KernelMessage, Kernel
} from '@jupyterlab/services';


// Get a list of available kernels and connect to one.
Kernel.listRunning().then(kernelModels => {
  Kernel.connectTo(kernelModels[0].id).then((kernel) => {
    console.log(kernel.name);
  });
});


// Get info about the available kernels and start a new one.
Kernel.getSpecs().then(kernelSpecs => {
  console.log('Default spec:', kernelSpecs.default);
  console.log('Available specs', Object.keys(kernelSpecs.kernelspecs));
  // use the default name
  let options: Kernel.IOptions = {
    name: kernelSpecs.default
  };
  Kernel.startNew(options).then(kernel => {
    // Execute and handle replies.
    let future = kernel.requestExecute({ code: 'a = 1' } );
    future.done.then(() => {
      console.log('Future is fulfilled');
    });
    future.onIOPub = (msg) => {
      console.log(msg.content);  // Print rich output data.
    };

    // Restart the kernel and then send an inspect message.
    kernel.restart().then(() => {
      let request: KernelMessage.IInspectRequest = {
        code: 'hello', cursor_pos: 4, detail_level: 0
      };
      kernel.requestInspect(request).then(reply => {
        console.log(reply.content.data);
      });
    });

    // Interrupt the kernel and then send a complete message.
    kernel.interrupt().then(() => {
      kernel.requestComplete({ code: 'impor', cursor_pos: 4 } ).then((reply) => {
        console.log(reply.content.matches);
      });
    });

    // Register a callback for when the kernel changes state.
    kernel.statusChanged.connect((status) => {
      console.log('status', status);
    });

    // Kill the kernel.
    kernel.shutdown().then(() => {
      console.log('Kernel shut down');
    });
  });
});

Session

import {
  Session
} from '@jupyterlab/services';


// Get a list of available sessions and connect to one.
Session.listRunning().then(sessionModels => {
  Session.connectTo(sessionModels[0].id).then((session) => {
    console.log(session.kernel.name);
  });
});

// Start a new session.
let options = {
  kernelName: 'python',
  path: '/tmp/foo.ipynb'
};

Session.startNew(options).then(session => {
  // Execute and handle replies on the kernel.
  let future = session.kernel.requestExecute({ code: 'a = 1' });
  future.done.then(() => {
    console.log('Future is fulfilled');
  });

  // Rename the session.
  session.setPath('/local/bar.ipynb').then(() => {
    console.log('Session renamed to', session.path);
  });

  // Register a callback for when the session dies.
  session.terminated.connect(() => {
    console.log('session died');
  });

  // Kill the session.
  session.shutdown().then(() => {
    console.log('session closed');
  });

});

Comm

import {
  Kernel
} from '@jupyterlab/services';

// Create a comm from the server side.
//
// Get info about the available kernels and connect to one.
Kernel.getSpecs().then(kernelSpecs => {
  return Kernel.startNew({
    name: kernelSpecs.default,
  });
}).then(kernel => {
  let comm = kernel.connectToComm('test');
  comm.open('initial state');
  comm.send('test');
  comm.close('bye');
});

// Create a comm from the client side.
Kernel.getSpecs().then(kernelSpecs => {
  return Kernel.startNew({
    name: kernelSpecs.default,
  });
}).then(kernel => {
  kernel.registerCommTarget('test2', (comm, commMsg) => {
    if (commMsg.content.target_name !== 'test2') {
       return;
    }
    comm.onMsg = (msg) => {
      console.log(msg);  // 'hello'
    };
    comm.onClose = (msg) => {
      console.log(msg);  // 'bye'
    };
  });

  let code = [
    'from ipykernel.comm import Comm',
    'comm = Comm(target_name="test2")',
    'comm.send(data="hello")',
    'comm.close(data="bye")'
  ].join('\n');
  kernel.requestExecute({ code: code });
});

Contents

import {
  ContentsManager
} from '@jupyterlab/services';

let contents = new ContentsManager();

// Create a new python file.
contents.newUntitled({ path: '/foo', type: 'file', ext: 'py' }).then(
  (model) => {
    console.log('new file:', model.path);
  }
);

// Get the contents of a directory.
contents.get('/foo/bar').then(
  (model) => {
    console.log('files:', model.content);
  }
);

// Rename a file.
contents.rename('/foo/bar.txt', '/foo/baz.txt');

// Save a file.
contents.save('/foo/test.ipynb');

// Delete a file.
contents.delete('/foo/bar.txt');

// Copy a file.
contents.copy('/foo/bar.txt', '/baz').then((model) => {
    console.log('new path', model.path);
});

// Create a checkpoint.
contents.createCheckpoint('/foo/bar.ipynb').then((model) => {
  let checkpoint = model;

  // Restore a checkpoint.
  contents.restoreCheckpoint('/foo/bar.ipynb', checkpoint.id);

  // Delete a checkpoint.
  contents.deleteCheckpoint('/foo/bar.ipynb', checkpoint.id);
});

// List checkpoints for a file.
contents.listCheckpoints('/foo/bar.txt').then((models) => {
    console.log(models[0].id);
});

Configuration

import {
  ConfigWithDefaults, ConfigSection
} from '@jupyterlab/services';

// The base url of the Jupyter server.

ConfigSection.create({ name: 'notebook' }).then(section => {
  let config = new ConfigWithDefaults({
    section,
    defaults: { default_cell_type: 'code' },
    className: 'Notebook'
  });
  console.log(config.get('default_cell_type'));   // 'code'
  config.set('foo', 'bar').then(data => {
     console.log(data); // "{ 'foo': 'bar' }"
  });
});

Terminals

import {
  TerminalSession
} from '@jupyterlab/services';


// Create a named terminal session and send some data.
TerminalSession.startNew().then(session => {
  session.send({ type: 'stdin', content: ['foo'] });
});