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* Add Google APIs typings * [gapi.cliebt.* ] Add version as part of typings name and fix gapi.client tslint errors * versions should not get their own folders fixing a few typos using /** syntax so comments show up in editors export only actual (last) version for now * export only actual (last) version for now * merge namespaces and remove unnecessary namespace qualifiers * remove namespace qualifier for gapi.client.Request from nested namespaces and change Request base interface to Promise * disable await-promise rule * fix collision between gapi.client.Request and Request from nested namespace disable no-irregular-whitespace rule * sort properties and namespace resources * remove empty comments sort resources amd methods in tests and readme.md * update 'this is autogenerated file' banner to remove this text from gapi.client namespace hint use multiline comments when comment has several lines * implement no-trailing-whitespace, no-padding, max-line-length, await-promise, no-irregular-whitespace rules * add strictFunctionTypes to tsconfig * fix "Whitespace within parentheses is not allowed" rule * fix ts-lint rules * fixes * remove deprecated replicapool and replicapoolupdater api * fix no-irregular-whitespace * fix no-irregular-whitespace
81 lines
3.1 KiB
TypeScript
81 lines
3.1 KiB
TypeScript
/* This is stub file for gapi.client.{{=it.name}} definition tests */
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/* IMPORTANT.
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* This file was automatically generated by https://github.com/Bolisov/google-api-typings-generator. Please do not edit it manually.
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* In case of any problems please post issue to https://github.com/Bolisov/google-api-typings-generator
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**/
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gapi.load('client', () => {
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/** now we can use gapi.client */
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gapi.client.load('prediction', 'v1.6', () => {
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/** now we can use gapi.client.prediction */
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/** don't forget to authenticate your client before sending any request to resources: */
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/** declare client_id registered in Google Developers Console */
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const client_id = '<<PUT YOUR CLIENT ID HERE>>';
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const scope = [
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/** View and manage your data across Google Cloud Platform services */
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'https://www.googleapis.com/auth/cloud-platform',
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/** Manage your data and permissions in Google Cloud Storage */
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'https://www.googleapis.com/auth/devstorage.full_control',
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/** View your data in Google Cloud Storage */
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'https://www.googleapis.com/auth/devstorage.read_only',
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/** Manage your data in Google Cloud Storage */
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'https://www.googleapis.com/auth/devstorage.read_write',
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/** Manage your data in the Google Prediction API */
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'https://www.googleapis.com/auth/prediction',
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];
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const immediate = true;
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gapi.auth.authorize({ client_id, scope, immediate }, authResult => {
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if (authResult && !authResult.error) {
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/** handle succesfull authorization */
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run();
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} else {
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/** handle authorization error */
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}
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});
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run();
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});
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async function run() {
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/** Submit input and request an output against a hosted model. */
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await gapi.client.hostedmodels.predict({
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hostedModelName: "hostedModelName",
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project: "project",
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});
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/** Get analysis of the model and the data the model was trained on. */
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await gapi.client.trainedmodels.analyze({
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id: "id",
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project: "project",
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});
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/** Delete a trained model. */
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await gapi.client.trainedmodels.delete({
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id: "id",
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project: "project",
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});
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/** Check training status of your model. */
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await gapi.client.trainedmodels.get({
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id: "id",
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project: "project",
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});
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/** Train a Prediction API model. */
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await gapi.client.trainedmodels.insert({
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project: "project",
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});
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/** List available models. */
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await gapi.client.trainedmodels.list({
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maxResults: 1,
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pageToken: "pageToken",
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project: "project",
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});
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/** Submit model id and request a prediction. */
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await gapi.client.trainedmodels.predict({
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id: "id",
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project: "project",
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});
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/** Add new data to a trained model. */
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await gapi.client.trainedmodels.update({
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id: "id",
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project: "project",
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});
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}
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});
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