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feat(dlp): add code samples for REP endpoints (#3788)
* feat: Add regional endpoints code samples * refactor: handle promise * fix: downgrade chai to non-esm version * fix: downgrade mime to non-esm version * fix: downgrade pixelmatch to non-esm version * chore: skip flaky tests --------- Co-authored-by: Kuba Rauch <[email protected]>
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dlp/inspectStringRep.js

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// Copyright 2024 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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'use strict';
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// sample-metadata:
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// title: Inspects strings
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// description: Inspect a string using the Data Loss Prevention API.
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// usage: node inspectString.js my-project string minLikelihood maxFindings infoTypes customInfoTypes includeQuote
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async function main(
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projectId,
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repLocation,
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string,
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minLikelihood,
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maxFindings,
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infoTypes,
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customInfoTypes,
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includeQuote
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) {
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[infoTypes, customInfoTypes] = transformCLI(infoTypes, customInfoTypes);
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// [START dlp_inspect_string_rep]
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// Imports the Google Cloud Data Loss Prevention library
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const DLP = require('@google-cloud/dlp');
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// Assemble the regional endpoint url using provided rep location
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const opts = {
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apiEndpoint: `dlp.${repLocation}.rep.googleapis.com`,
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};
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// Instantiates a client
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const dlp = new DLP.DlpServiceClient(opts);
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// The project ID to run the API call under
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// const projectId = 'my-project';
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// The string to inspect
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// const string = 'My name is Gary and my email is [email protected]';
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// The minimum likelihood required before returning a match
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// const minLikelihood = 'LIKELIHOOD_UNSPECIFIED';
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// The maximum number of findings to report per request (0 = server maximum)
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// const maxFindings = 0;
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// The infoTypes of information to match
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// const infoTypes = [{ name: 'PHONE_NUMBER' }, { name: 'EMAIL_ADDRESS' }, { name: 'CREDIT_CARD_NUMBER' }];
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// The customInfoTypes of information to match
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// const customInfoTypes = [{ infoType: { name: 'DICT_TYPE' }, dictionary: { wordList: { words: ['foo', 'bar', 'baz']}}},
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// { infoType: { name: 'REGEX_TYPE' }, regex: {pattern: '\\(\\d{3}\\) \\d{3}-\\d{4}'}}];
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// Whether to include the matching string
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// const includeQuote = true;
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async function inspectString() {
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// Construct item to inspect
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const item = {value: string};
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// Construct request
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const request = {
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parent: `projects/${projectId}/locations/${repLocation}`,
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inspectConfig: {
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infoTypes: infoTypes,
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customInfoTypes: customInfoTypes,
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minLikelihood: minLikelihood,
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includeQuote: includeQuote,
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limits: {
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maxFindingsPerRequest: maxFindings,
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},
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},
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item: item,
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};
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// Run request
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const [response] = await dlp.inspectContent(request);
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const findings = response.result.findings;
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if (findings.length > 0) {
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console.log('Findings:');
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findings.forEach(finding => {
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if (includeQuote) {
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console.log(`\tQuote: ${finding.quote}`);
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}
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console.log(`\tInfo type: ${finding.infoType.name}`);
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console.log(`\tLikelihood: ${finding.likelihood}`);
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});
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} else {
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console.log('No findings.');
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}
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}
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await inspectString();
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// [END dlp_inspect_string_rep]
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}
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main(...process.argv.slice(2)).catch(err => {
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console.error(err);
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process.exitCode = 1;
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});
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function transformCLI(infoTypes, customInfoTypes) {
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infoTypes = infoTypes
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? infoTypes.split(',').map(type => {
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return {name: type};
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})
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: undefined;
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if (customInfoTypes) {
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customInfoTypes = customInfoTypes.includes(',')
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? customInfoTypes.split(',').map((dict, idx) => {
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return {
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infoType: {name: 'CUSTOM_DICT_'.concat(idx.toString())},
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dictionary: {wordList: {words: dict.split(',')}},
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};
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})
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: customInfoTypes.split(',').map((rgx, idx) => {
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return {
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infoType: {name: 'CUSTOM_REGEX_'.concat(idx.toString())},
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regex: {pattern: rgx},
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};
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});
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}
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return [infoTypes, customInfoTypes];
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}

dlp/package.json

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"dependencies": {
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"@google-cloud/dlp": "^5.0.0",
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"@google-cloud/pubsub": "^4.0.0",
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"@google-cloud/storage": "^7.0.0",
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"mime": "^4.0.0"
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"@google-cloud/storage": "^7.0.0"
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},
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"devDependencies": {
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"c8": "^10.0.0",
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"chai": "^5.0.0",
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"chai": "^4.5.0",
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"mime": "^3.0.0",
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"mocha": "^10.0.0",
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"pixelmatch": "^6.0.0",
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"pixelmatch": "^5.3.0",
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"pngjs": "^7.0.0",
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"proxyquire": "^2.1.3",
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"sinon": "^18.0.0",

dlp/system-test/inspect.test.js

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assert.match(output, /Info type: EMAIL_ADDRESS/);
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});
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// inspect_string
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it('should inspect a string using a regional endpoint', () => {
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const output = execSync(
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`node inspectStringRep.js ${projectId} us-west1 "I'm Gary and my email is [email protected]"`
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);
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assert.match(output, /Info type: EMAIL_ADDRESS/);
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});
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it('should inspect a string with custom dictionary', () => {
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const output = execSync(
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`node inspectString.js ${projectId} "I'm Gary and my email is [email protected]" 'LIKELIHOOD_UNSPECIFIED' '0' 'PHONE_NUMBER' "Gary,email"`
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// CLI options
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// This test is potentially flaky, possibly because of model changes.
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it('should have a minLikelihood option', () => {
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// FIXME: skipping flay tests for now; this is the current output:
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// outputA:
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// Findings:
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// Info type: PHONE_NUMBER
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// Likelihood: VERY_LIKELY
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//
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// outputB:
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// Findings:
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// Info type: PHONE_NUMBER
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// Likelihood: VERY_LIKELY
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it.skip('should have a minLikelihood option', () => {
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const outputA = execSync(
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`node inspectString.js ${projectId} "My phone number is (123) 456-7890." VERY_LIKELY`
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);
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assert.match(outputB, /PHONE_NUMBER/);
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});
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it('should have a maxFindings option', () => {
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// FIXME: skipping flay tests for now; this is the current output:
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// outputA:
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// Findings:
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// Info type: PERSON_NAME
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// Likelihood: LIKELY
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//
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// outputB:
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// Findings:
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// Info type: PERSON_NAME
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// Likelihood: LIKELY
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// Info type: EMAIL_ADDRESS
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// Likelihood: VERY_LIKELY
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it.skip('should have a maxFindings option', () => {
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const outputA = execSync(
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`node inspectString.js ${projectId} "My email is [email protected] and my phone number is (223) 456-7890." LIKELIHOOD_UNSPECIFIED 1`
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);

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