async function lDiversityAnalysis()

in dlp/lDiversityAnalysis.js [68:157]
79 lines of code
3 McCabe index (conditional complexity)

  async function lDiversityAnalysis() {
    const sourceTable = {
      projectId: tableProjectId,
      datasetId: datasetId,
      tableId: tableId,
    };

    // Construct request for creating a risk analysis job
    const request = {
      parent: `projects/${projectId}/locations/global`,
      riskJob: {
        privacyMetric: {
          lDiversityConfig: {
            quasiIds: quasiIds,
            sensitiveAttribute: {
              name: sensitiveAttribute,
            },
          },
        },
        sourceTable: sourceTable,
        actions: [
          {
            pubSub: {
              topic: `projects/${projectId}/topics/${topicId}`,
            },
          },
        ],
      },
    };

    // Create helper function for unpacking values
    const getValue = obj => obj[Object.keys(obj)[0]];

    // Run risk analysis job
    const [topicResponse] = await pubsub.topic(topicId).get();
    const subscription = await topicResponse.subscription(subscriptionId);
    const [jobsResponse] = await dlp.createDlpJob(request);
    const jobName = jobsResponse.name;
    console.log(`Job created. Job name: ${jobName}`);
    // Watch the Pub/Sub topic until the DLP job finishes
    await new Promise((resolve, reject) => {
      const messageHandler = message => {
        if (message.attributes && message.attributes.DlpJobName === jobName) {
          message.ack();
          subscription.removeListener('message', messageHandler);
          subscription.removeListener('error', errorHandler);
          resolve(jobName);
        } else {
          message.nack();
        }
      };

      const errorHandler = err => {
        subscription.removeListener('message', messageHandler);
        subscription.removeListener('error', errorHandler);
        reject(err);
      };

      subscription.on('message', messageHandler);
      subscription.on('error', errorHandler);
    });
    setTimeout(() => {
      console.log(' Waiting for DLP job to fully complete');
    }, 500);
    const [job] = await dlp.getDlpJob({name: jobName});
    const histogramBuckets =
      job.riskDetails.lDiversityResult.sensitiveValueFrequencyHistogramBuckets;

    histogramBuckets.forEach((histogramBucket, histogramBucketIdx) => {
      console.log(`Bucket ${histogramBucketIdx}:`);

      console.log(
        `Bucket size range: [${histogramBucket.sensitiveValueFrequencyLowerBound}, ${histogramBucket.sensitiveValueFrequencyUpperBound}]`
      );
      histogramBucket.bucketValues.forEach(valueBucket => {
        const quasiIdValues = valueBucket.quasiIdsValues
          .map(getValue)
          .join(', ');
        console.log(`  Quasi-ID values: {${quasiIdValues}}`);
        console.log(`  Class size: ${valueBucket.equivalenceClassSize}`);
        valueBucket.topSensitiveValues.forEach(valueObj => {
          console.log(
            `    Sensitive value ${getValue(valueObj.value)} occurs ${
              valueObj.count
            } time(s).`
          );
        });
      });
    });
  }