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This code defines a set of functions for a meta kernel that manages and interacts with other kernels, including initialization, installation, messaging, and execution handling. The module exports these functions, which depend on libraries such as mkdirp, fs, and jupyter-kernelspec, and can be used by other applications to interact with kernels.

Run example

npm run import -- "native meta methods"

native meta methods

var importer = require('../Core');
var mkdirpSync = importer.import("mkdirp");

function do_install(configJson) {
    console.log(`installing kernel ${JSON.stringify(configJson)}`);
    mkdirpSync(`./.kernel/${configJson.language}`);
    require('fs').writeFileSync(`./.kernel/${configJson.language}/kernel.json`,
                                JSON.stringify(configJson, null, 4));
// TODO: convert to bash notebook or kernel call
    require('child_process').execSync(`
jupyter kernelspec install --user --replace "./.kernel/${configJson.language}"`);
    require('rimraf').sync('./.kernel');
}

function do_message(message) {
    if(typeof this[Object.keys(message)[0]] === 'undefined') {
        console.error(`unhandled message type ${JSON.stringify(message)}`);
        return;
    }
    var result = this[Object.keys(message)[0]].apply(this, Object.values(message));
    if(result && Object.getPrototypeOf.constructor === Promise) {
        
    }
    return result;
}

function do_respond(message) {
    // TODO: add Promise handling here?
    // TODO: add line and block magics handling here?
    return message;
}

function do_is_complete(message) {
    try {
        this.do_execute(message);
        return true;
    } catch (e) {
        return false;
    }
}
    
function do_init(config) {
    console.log('starting meta kernel');
     // incase different than kernel_info.kernel_config
    this.kernel_config = config;
    
}

module.exports = {
    do_init,
    do_is_complete,
    do_message,
    do_respond,
    do_install,
}

What the code could have been:

const path = require('path');
const fs = require('fs');
const mkdirp = require('mkdirp');
const rimraf = require('rimraf');
const childProcess = require('child_process');

class Kernel {
  /**
   * Initializes the kernel with the given configuration.
   * @param {Object} config - The kernel configuration.
   */
  doInit(config) {
    this.kernelConfig = config;
    console.log('Starting meta kernel');
  }

  /**
   * Installs the kernel with the given configuration.
   * @param {Object} configJson - The kernel configuration.
   */
  async doInstall(configJson) {
    console.log(`Installing kernel ${JSON.stringify(configJson)}`);
    await this.createKernelDirectory(configJson);
    await this.writeKernelJson(configJson);
    await this.installKernel(configJson);
    // TODO: convert to bash notebook or kernel call
  }

  /**
   * Creates the kernel directory.
   * @param {Object} configJson - The kernel configuration.
   */
  async createKernelDirectory(configJson) {
    try {
      await mkdirp(path.join(process.cwd(), `.kernel/${configJson.language}`));
    } catch (error) {
      console.error(`Error creating kernel directory: ${error}`);
    }
  }

  /**
   * Writes the kernel JSON file.
   * @param {Object} configJson - The kernel configuration.
   */
  async writeKernelJson(configJson) {
    try {
      await fs.writeFileSync(
        path.join(process.cwd(), `.kernel/${configJson.language}/kernel.json`),
        JSON.stringify(configJson, null, 4)
      );
    } catch (error) {
      console.error(`Error writing kernel JSON: ${error}`);
    }
  }

  /**
   * Installs the kernel.
   * @param {Object} configJson - The kernel configuration.
   */
  async installKernel(configJson) {
    try {
      await childProcess.execSync(
        `jupyter kernelspec install --user --replace "${path.join(process.cwd(), `.kernel/${configJson.language}`)}"`
      );
    } catch (error) {
      console.error(`Error installing kernel: ${error}`);
    }
  }

  /**
   * Removes the kernel directory.
   */
  async doRemove() {
    try {
      await rimraf.sync(process.cwd() + '/.kernel');
    } catch (error) {
      console.error(`Error removing kernel directory: ${error}`);
    }
  }

  /**
   * Checks if the kernel is complete.
   * @param {Object} message - The message to check.
   */
  async doIsComplete(message) {
    try {
      await this.doExecute(message);
      return true;
    } catch (error) {
      return false;
    }
  }

  /**
   * Executes the kernel.
   * @param {Object} message - The message to execute.
   */
  async doExecute(message) {
    // TO DO: implement kernel execution
  }

  /**
   * Responds to the message.
   * @param {Object} message - The message to respond to.
   */
  doRespond(message) {
    // TO DO: add line and block magics handling here
    return message;
  }

  /**
   * Handles the message.
   * @param {Object} message - The message to handle.
   */
  async handleMessage(message) {
    try {
      const handler = this[Object.keys(message)[0]];
      if (!handler) {
        console.error(`Unhandled message type: ${JSON.stringify(message)}`);
        return;
      }
      const result = await handler.apply(this, Object.values(message));
      if (result instanceof Promise) {
        await result;
      }
      return result;
    } catch (error) {
      console.error(`Error handling message: ${error}`);
    }
  }
}

module.exports = Kernel;

Code Overview

This code defines a set of functions for a meta kernel, which is a kernel that manages and interacts with other kernels. The functions are exported as a module, allowing them to be used by other applications.

Functions

do_init(config)

Initializes the meta kernel with a configuration object. This function sets the kernel_config property of the meta kernel to the provided configuration.

do_install(configJson)

Installs a new kernel based on the provided configuration object. It creates a directory for the new kernel, writes the configuration to a JSON file, and installs the kernel using jupyter-kernelspec.

do_respond(message)

Handles a message by returning it as is. This function does not provide any additional processing or response generation.

do_message(message)

Processes a message by calling a handler function based on the message type. If the message type is not recognized, it logs an error and returns undefined. If the handler returns a promise, it is not handled in this implementation.

do_is_complete(message)

Checks if a message has been successfully executed by calling the do_execute function and catching any exceptions. If an exception is caught, it returns false.

Module Exports

The module exports the following functions:

Dependencies

The code uses the following dependencies: