kibana-riya/src/ui/public/agg_response/hierarchical/_create_raw_data.js

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elastic

import _ from 'lodash';
import extractBuckets from 'ui/agg_response/hierarchical/_extract_buckets';
export default function (vis, resp) {

  // Create the initial results structure
  let results = { rows: [] };

  // Create a reference to the buckets and metrics
  let metrics = vis.aggs.bySchemaGroup.metrics;
  let buckets = vis.aggs.bySchemaGroup.buckets;
  let aggs = [];

  if (buckets) {
    _.each(buckets, function (bucket) {
      aggs.push(bucket);
      aggs.push(metrics);
    });
  } else {
    aggs.push(metrics);
  }

  // Create the columns
  results.columns = _(aggs)
  .flattenDeep()
  .map(function (agg) {
    return {
      categoryName: agg.schema.name,
      id: agg.id,
      aggConfig: agg,
      aggType: agg.type,
      field: agg.params.field,
      label: agg.type.makeLabel(agg)
    };
  })
  .value();


  // if there are no buckets then we need to just set the value and return
  if (!buckets) {
    let value = resp.aggregations
      && resp.aggregations[metrics[0].id]
      && resp.aggregations[metrics[0].id].value
      || resp.hits.total;
    results.rows.push([value]);
    return results;
  }

  /**
   * Walk the buckets and create records for each leaf
   * @param {aggConfig} agg The aggConfig for the current level
   * @param {object} data The aggergation object
   * @param {array} [record] The record that will eventually get pushed to the rows
   * @returns {void}
   */
  function walkBuckets(agg, data, record) {
    if (!_.isArray(record)) {
      record = [];
    }

    // iterate through all the buckets
    _.each(extractBuckets(data[agg.id], agg), function (bucket) {

      let _record = _.flattenDeep([record, bucket.key]);
      _.each(metrics, function (metric) {
        let value = bucket.doc_count;
        if (bucket[metric.id] && !_.isUndefined(bucket[metric.id].value)) {
          value = bucket[metric.id].value;
        }
        _record.push(value);
      });

      // If there is another agg to call we need to check to see if it has
      // buckets. If it does then we need to keep on walking the tree.
      // This is where the recursion happens.
      if (agg._next) {
        let nextBucket = bucket[agg._next.id];
        if (nextBucket && nextBucket.buckets) {
          walkBuckets(agg._next, bucket, _record);
        }
      }
      // if there are no more aggs to walk then  push the record to the rows.
      else {
        results.rows.push(_record);
      }
    });
  }

  // Start walking the buckets at the beginning of the aggregations object.
  walkBuckets(buckets[0], resp.aggregations);

  return results;
};