Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 | 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 3x 3x 162x 162x 162x 162x 162x 162x 2x 20x 376x 376x 376x 8x 368x 20x 184x 2x 8x 2x 2x 2x 2x 6x 6x 4x 4x 4x 2x 2x 3x 3x 3x 162x 162x 162x 162x 162x 162x 162x 162x 141x 21x 39x 21x 21x 21x 3x 2x 2x 2x 2x 2x 2x 2x | import { ISessionContext, SessionContext } from '@jupyterlab/apputils';
import { JobsView } from '@jupyterlab/scheduler';
import { ContentsManager, KernelSpec, Session } from '@jupyterlab/services';
import { retro, toArray } from '@lumino/algorithm';
import { JSONObject } from '@lumino/coreutils';
import isString from 'lodash/isString';
import { DropdownItem } from '../../../components/selectinput';
import { KERNELSPEC_NAME_SEPARATOR } from '../../../constants';
import { parseSpecName } from '../../../utils';
import { RuntimeEnvParams } from '../initialValueHelpers';
const constructArnName = (env: string, kernel: string, version: string | null) => {
const scrubbedVersion = version ? `/${version}` : '';
return `${kernel}${KERNELSPEC_NAME_SEPARATOR}${env}${scrubbedVersion}`;
};
const AXIS_IMAGE_NAME = 'Geospatial';
const EMR_COMPATIBLE_IMAGES_LIST = [
'datascience-1.0',
'sagemaker-data-science-38',
'1.8.1-cpu-py36',
'pytorch-1.8-gpu-py36',
'sagemaker-sparkmagic',
'tensorflow-2.6-cpu-py38-ubuntu20.04-v1',
'tensorflow-2.6-gpu-py38-cu112-ubuntu20.04-v1',
'sagemaker-sparkanalytics-v1',
];
enum ImageGroup {
Custom = 'customImage',
Sagemaker = 'smeImage',
Session = 'session',
}
interface ImageMapValue {
kernelOptions: DropdownItem[];
versionOptions: DropdownItem[];
arnEnvironment: string;
label: string;
group: ImageGroup;
description?: string;
}
const createImageMap = (options: SessionContext.IKernelSearch) => {
const { specs, sessions } = options;
const imageMap: { [key: string]: ImageMapValue } = {};
const kernelspecs = specs ? specs.kernelspecs : {};
Object.values(kernelspecs).forEach((spec) => {
Iif (!spec) {
return;
}
const smeMetadata = spec.metadata ? (spec.metadata.sme_metadata as JSONObject) : null;
const { imageName, kernelName } = parseSpecDisplayName(spec.display_name);
const { kernel, arnEnvironment, version } = parseSpecName(spec.name);
// If parsing failed, something is wrong, so skip. Only version can be null after parsing.
Iif (!kernel || !arnEnvironment || !imageName || !kernelName) {
return;
}
const specMetaData: ImageMapValue = {
arnEnvironment,
kernelOptions: [{ label: kernelName, value: kernel }],
versionOptions: version ? [{ label: `v${version}`, value: version }] : undefined,
label: imageName,
description: smeMetadata?.description ? (smeMetadata.description as string) : undefined,
group: smeMetadata && smeMetadata.is_template ? ImageGroup.Sagemaker : ImageGroup.Custom,
} as ImageMapValue;
if (!imageMap[arnEnvironment]) {
imageMap[arnEnvironment] = specMetaData;
} else {
const { kernelOptions } = imageMap[arnEnvironment];
Iif (!kernelOptions.some((opt) => opt.value === kernel)) {
const newKernelOptions = [...kernelOptions, { label: kernelName, value: kernel } as DropdownItem];
imageMap[arnEnvironment].kernelOptions = newKernelOptions;
}
Iif (version) {
const { versionOptions } = imageMap[arnEnvironment];
Iif (!versionOptions.some((opt) => opt.value === version)) {
const optionToAdd = {
label: `v${version}`,
value: version.toString(),
};
const newVersionOptions = Array.isArray(versionOptions) ? [...versionOptions, optionToAdd] : [optionToAdd];
imageMap[arnEnvironment].versionOptions = newVersionOptions;
}
}
}
});
const sessionData = retro(sessions as unknown as ArrayLike<Session.IModel>);
const sessionList = toArray(sessionData);
// Loop over all sessions, so that we can populate the "Image from other session" selection
// We need to loop everytime in case more notebooks have been opened that we'd like to add to this list
sessionList.forEach((sess) => {
Iif (!sess?.name || !sess.kernel?.name) {
return;
}
const sessionLabel = sess.name;
const { kernel, arnEnvironment, version } = parseSpecName(sess.kernel.name);
// If parsing failed, something is wrong or this session isn't relevant, so skip. Only version can be null after parsing.
Iif (!kernel || !arnEnvironment) {
return;
}
const environmentName = version ? `${arnEnvironment}/${version}` : arnEnvironment;
let kernelOptions: DropdownItem[] = [];
Iif (imageMap && imageMap[arnEnvironment]?.kernelOptions) {
const options = imageMap[arnEnvironment].kernelOptions?.find((o) => o.value === kernel);
kernelOptions = options ? [options] : [];
}
const sessionMetaData: ImageMapValue = {
arnEnvironment: environmentName,
kernelOptions: kernelOptions,
label: sessionLabel,
group: ImageGroup.Session,
versionOptions: [],
};
imageMap[sessionLabel] = sessionMetaData;
});
return imageMap;
};
export async function getPreSelectedNotebookKernelSpec(filePath: string,
contentsManager: ContentsManager): Promise<string> {
Iif (filePath.endsWith('.ipynb')) {
try {
const notebookContent = await contentsManager.get(filePath);
return notebookContent.content.metadata.kernelspec.name;
} catch (e) {
return '';
}
}
return '';
};
interface ParsedSpecDisplayName {
imageName: string | null;
kernelName: string | null;
}
function parseSpecDisplayName(displayName: string | undefined): ParsedSpecDisplayName {
try {
Iif (!isString(displayName) || displayName.length === 0) {
return { imageName: null, kernelName: null };
}
const [kernelPart, imagePart] = displayName.split('(');
const imageName = imagePart && imagePart.slice(0, -1).split('/')[0];
const kernelName = kernelPart && kernelPart.slice(0, -1);
return { imageName, kernelName };
} catch (e) {
// TODO @mgoguen add logging here if / when possible
return { imageName: null, kernelName: null };
}
}
const OPTION_GROUP_LABELS: { [key: string]: string } = {
smeImage: 'Sagemaker Image',
customImage: 'Custom Image',
prefered: 'Use image from preferred session',
session: 'Use image from other session',
};
function getImageOptionsFromMap(
imageMap: { [key: string]: ImageMapValue },
group: ImageGroup,
isFromCluster?: boolean,
): DropdownItem {
const filteredImages = Object.values(imageMap).filter((img) => {
const env = img.arnEnvironment.split('/')[1];
// If notebook is open from a cluster, only show EMR compatible images
Iif (isFromCluster) {
return img?.group === group && EMR_COMPATIBLE_IMAGES_LIST.includes(env);
}
// filter out axis image
if (img?.group === ImageGroup.Sagemaker && img.label.includes(AXIS_IMAGE_NAME)) {
return false;
}
// Show the image if the group matches
return img?.group === group;
});
return {
label: OPTION_GROUP_LABELS[group],
value: '',
options: filteredImages.map((img) => ({
label: img.label,
value: group === ImageGroup.Session ? img.label : img.arnEnvironment,
group: OPTION_GROUP_LABELS[group],
optionMetadata: img,
options: img.versionOptions,
})),
};
}
function getSessionOptionsFromMap(
imageMap: { [key: string]: ImageMapValue },
prefered: ISessionContext.IKernelPreference,
): DropdownItem[] {
Iif (!imageMap) {
return [];
}
const filteredSessions = Object.values(imageMap).filter((img) => img?.group === ImageGroup.Session);
let preferedSession: ImageMapValue | undefined;
Iif (prefered?.name?.includes(KERNELSPEC_NAME_SEPARATOR)) {
const { kernel, arnEnvironment, version } = parseSpecName(prefered.name);
Iif (kernel && arnEnvironment) {
const environmentName = version ? `${arnEnvironment}/${version}` : arnEnvironment;
preferedSession = filteredSessions.find(
(sess) => sess.arnEnvironment === environmentName && sess.kernelOptions?.some((s) => s.value === kernel),
);
}
}
const preferedOption = preferedSession
? [
{
label: preferedSession.label,
value: preferedSession.label,
optionMetadata: preferedSession,
options: preferedSession.versionOptions,
},
]
: [];
return [
{ label: OPTION_GROUP_LABELS.prefered, value: '', options: preferedOption },
{
label: OPTION_GROUP_LABELS.session,
value: '',
options: filteredSessions.map((sess) => ({
label: sess.label,
value: sess.label,
optionMetadata: sess,
options: sess.versionOptions,
})),
},
];
}
export const getInitialImageValueForStudio = (
runtimeEnvironmentParameters: RuntimeEnvParams,
preSelectedKernelFromNotebook: string | undefined,
view: JobsView
) => {
if (view === JobsView.JobDetail || view === JobsView.JobDefinitionDetail) {
if (runtimeEnvironmentParameters) {
const { sm_kernel, sm_image } = runtimeEnvironmentParameters;
const KERNEL_IMAGE_KEY = `${sm_kernel}__SAGEMAKER_INTERNAL__${sm_image}`;
return parseSpecName(KERNEL_IMAGE_KEY);
}
return {
kernel: null,
arnEnvironment: null,
version: null
};
} else if (view === JobsView.CreateForm) {
if (
runtimeEnvironmentParameters &&
'sm_image' in runtimeEnvironmentParameters
) {
const { sm_kernel, sm_image } = runtimeEnvironmentParameters;
const KERNEL_IMAGE_KEY = `${sm_kernel}__SAGEMAKER_INTERNAL__${sm_image}`;
return parseSpecName(KERNEL_IMAGE_KEY);
}
return (
parseSpecName(preSelectedKernelFromNotebook) || {
kernel: null,
arnEnvironment: null,
version: null
}
);
}
return (
parseSpecName(preSelectedKernelFromNotebook) || {
kernel: null,
arnEnvironment: null,
version: null
}
);
};
export function getImagesFromMap(options: KernelSpec.ISpecModels): Record<string, ImageMapValue> {
const imageMap: { [key: string]: ImageMapValue } = {};
const specs = options.kernelspecs;
Object.values(specs).forEach((spec: any) => {
Iif (!spec) {
return;
}
const smeMetadata = spec.spec?.metadata
? (spec.spec.metadata.sme_metadata as JSONObject)
: null;
const { imageName, kernelName } = parseSpecDisplayName(
spec.spec.display_name
);
const { kernel, arnEnvironment, version } = parseSpecName(spec.name);
// If parsing failed, something is wrong, so skip. Only version can be null after parsing.
Iif (!kernel || !arnEnvironment || !imageName || !kernelName) {
return;
}
const imageLabel = version ? `${imageName} v${version}` : imageName;
const specMetaData: ImageMapValue = {
arnEnvironment,
kernelOptions: [{ label: kernelName, value: kernel }],
versionOptions: version
? [{ label: `v${version}`, value: version }]
: undefined,
label: imageLabel,
description: smeMetadata?.description
? (smeMetadata.description as string)
: undefined,
group: smeMetadata && smeMetadata.is_template ? ImageGroup.Sagemaker : ImageGroup.Custom,
} as ImageMapValue;
if (!imageMap[arnEnvironment]) {
imageMap[arnEnvironment] = specMetaData;
} else {
const { kernelOptions } = imageMap[arnEnvironment];
if (!kernelOptions.some(opt => opt.value === kernel)) {
const newKernelOptions = [
...kernelOptions,
{ label: kernelName, value: kernel } as DropdownItem
];
imageMap[arnEnvironment].kernelOptions = newKernelOptions;
}
Iif (version) {
const { versionOptions } = imageMap[arnEnvironment];
Iif (!versionOptions.some(opt => opt.value === version)) {
const optionToAdd = {
label: `v${version}`,
value: version.toString()
};
const newVersionOptions = Array.isArray(versionOptions)
? [...versionOptions, optionToAdd]
: [optionToAdd];
imageMap[arnEnvironment].versionOptions = newVersionOptions;
}
}
}
});
return imageMap;
}
export {
constructArnName,
createImageMap,
parseSpecName,
parseSpecDisplayName,
getImageOptionsFromMap,
getSessionOptionsFromMap,
ImageGroup,
ImageMapValue,
};
|