UNPKG

@cocalc/project

Version:
164 lines (145 loc) 5.02 kB
// This file allows you to run a jupyter kernel via `launch_jupyter_kernel`. // You have to provide the kernel name and (optionally) launch options for execa [1]. // // Example: // import {launch_jupyter_kernel} from "./launch_jupyter_kernel"; // const kernel = await launch_jupyter_kernel("python3", {detached: true, cwd: "/home/user"}) // // * shell channel: `${kernel.config.ip}:${kernel.config.shell_port}` // * `kernel.spawn` holds the process and you have to close it when finished. // * Unless `cleanupConnectionFile` is false, the connection file will be deleted when finished. // // Ref: // [1] execa: https://github.com/sindresorhus/execa#readme // // History: // This is a port of https://github.com/nteract/spawnteract/ to TypeScript (with minor changes). // Original license: BSD-3-Clause and this file is also licensed under BSD-3-Clause! // Author: Harald Schilly <hsy@sagemath.com> import * as path from "path"; import * as fs from "fs"; import { promisify } from "util"; import * as uuid from "uuid"; import { findAll } from "kernelspecs"; import * as jupyter_paths from "jupyter-paths"; import { getPorts as getPortsOrig } from "portfinder"; const get_ports = promisify(getPortsOrig); import { writeFile } from "jsonfile"; import execa from "execa"; import mkdirp from "mkdirp"; // this is passed to "execa", there are more options // https://github.com/sindresorhus/execa#options // https://nodejs.org/dist/latest-v6.x/docs/api/child_process.html#child_process_options_stdio type StdIO = "pipe" | "ignore" | "inherit" | undefined; export interface LaunchJupyterOpts { detached: boolean; stdio?: StdIO | (StdIO | number)[]; env: { [key: string]: string }; cwd?: string; cleanupConnectionFile?: boolean; cleanup?: boolean; preferLocal?: boolean; localDir?: string; execPath?: string; buffer?: boolean; reject?: boolean; stripFinalNewline?: boolean; shell?: boolean | string; // default false } function connection_info(ports) { return { version: 5, key: uuid.v4(), signature_scheme: "hmac-sha256", transport: "tcp", ip: "127.0.0.1", hb_port: ports[0], control_port: ports[1], shell_port: ports[2], stdin_port: ports[3], iopub_port: ports[4], }; } const DEFAULT_PORT_OPTS = { port: 9000, host: "127.0.0.1" } as const; // gather the connection information for a kernel, write it to a json file, and return it async function write_connection_file(port_options?: { port?: number; host?: string; }) { const options = { ...DEFAULT_PORT_OPTS, ...port_options }; const ports = await get_ports(5, options); // Make sure the kernel runtime dir exists before trying to write the kernel file. const runtimeDir = jupyter_paths.runtimeDir(); await mkdirp(runtimeDir); // Write the kernel connection file -- filename uses the UUID4 key const config = connection_info(ports); const connection_file = path.join(runtimeDir, `kernel-${config.key}.json`); await writeFile(connection_file, config); return { config, connection_file }; } // if spawn options' cleanupConnectionFile is true, the connection file is removed function cleanup(connectionFile) { try { fs.unlinkSync(connectionFile); } catch (e) { return; } } const DEFAULT_SPAWN_OPTIONS = { cleanupConnectionFile: true, env: {}, } as const; // actually launch the kernel. // the returning object contains all the configuration information and in particular, // `spawn` is the running process started by "execa" function launch_kernel_spec( kernel_spec, config, connection_file: string, spawn_options: LaunchJupyterOpts ) { const argv = kernel_spec.argv.map((x) => x.replace("{connection_file}", connection_file) ); const full_spawn_options = { ...DEFAULT_SPAWN_OPTIONS, ...spawn_options }; full_spawn_options.env = { ...process.env, ...kernel_spec.env, ...spawn_options.env, }; const running_kernel = execa(argv[0], argv.slice(1), full_spawn_options); if (full_spawn_options.cleanupConnectionFile !== false) { running_kernel.on("exit", (_code, _signal) => cleanup(connection_file)); running_kernel.on("error", (_code, _signal) => cleanup(connection_file)); } return { spawn: running_kernel, connection_file, config, kernel_spec, }; } // for a given kernel name and launch options: prepare the kernel file and launch the process // optionally, provide cached kernel specs to bypass `findAll() export async function launch_jupyter_kernel( name: string, spawn_options: LaunchJupyterOpts, cached_specs?: any ) { const specs = cached_specs ?? (await findAll()); const kernel_spec = specs[name]; if (kernel_spec == null) { throw new Error( `No spec available for kernel "${name}". Available specs: ${JSON.stringify( Object.keys(specs) )}` ); } const launch_info = await write_connection_file(); return launch_kernel_spec( kernel_spec.spec, launch_info.config, launch_info.connection_file, spawn_options ); }