@spalger/kibana/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

define(function (require) {
  var _ = require('lodash');
  var extractBuckets = require('ui/agg_response/hierarchical/_extract_buckets');
  return function (vis, resp) {

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

    // Create a reference to the buckets and metrics
    var metrics = vis.aggs.bySchemaGroup.metrics;
    var buckets = vis.aggs.bySchemaGroup.buckets;
    var 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) {
      var 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]), function (bucket) {

        var _record = _.flattenDeep([record, bucket.key]);
        _.each(metrics, function (metric) {
          var 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) {
          var 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;
  };
});