async function numericalRiskAnalysis()

in dlp/numericalRiskAnalysis.js [66:152]
73 lines of code
7 McCabe index (conditional complexity)

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

    // Construct request for creating a risk analysis job
    const request = {
      parent: `projects/${projectId}/locations/global`,
      riskJob: {
        privacyMetric: {
          numericalStatsConfig: {
            field: {
              name: columnName,
            },
          },
        },
        sourceTable: sourceTable,
        actions: [
          {
            pubSub: {
              topic: `projects/${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 results = job.riskDetails.numericalStatsResult;

    console.log(
      `Value Range: [${getValue(results.minValue)}, ${getValue(
        results.maxValue
      )}]`
    );

    // Print unique quantile values
    let tempValue = null;
    results.quantileValues.forEach((result, percent) => {
      const value = getValue(result);

      // Only print new values
      if (
        tempValue !== value &&
        !(tempValue && tempValue.equals && tempValue.equals(value))
      ) {
        console.log(`Value at ${percent}% quantile: ${value}`);
        tempValue = value;
      }
    });
  }