Create and email report based on query

[ddraganp6 (Dan Dragan)]

Hi everyone, I was able to succesfully retrieve the data I need - my top 10 most ERROR log producing applications - using this query :

GET _search
{
  "size": 0,
  "query": {
    "bool": {
      "must": [
        {
          "bool": {
            "minimum_should_match": 1,
            "should": [
              {
                "match_phrase": {
                  "level": "error"
                }
              },
              {
                "match_phrase": {
                  "level": "ERROR"
                }
              },
              {
                "match_phrase": {
                  "level": "ERR"
                }
              }
            ]
          }
        },
        {
          "range": {
            "@timestamp": {
              "gte": 1644875811155,
               "lte": 1647464211155,
              "format": "epoch_millis"
            }
          }          
        }
      ]
    }
  },
  "aggs": {
    "group_by_app": {
      "terms": {
        "field": "app"
      }
    }
  }  
}

I am getting back a JSON with the apps and their counts.

{
  "took" : 28680,
  "timed_out" : false,
  "num_reduce_phases" : 2,
  "_shards" : {
    "total" : 4961,
    "successful" : 4831,
    "skipped" : 4234,
    "failed" : 130,
    "failures" : [
...
    ]
  },
  "hits" : {
    "total" : 8417850,
    "max_score" : 0.0,
    "hits" : [ ]
  },
  "aggregations" : {
    "group_by_app" : {
      "doc_count_error_upper_bound" : 24619,
      "sum_other_doc_count" : 2032266,
      "buckets" : [
        {
          "key" : "runaway-train",
          "doc_count" : 2014561
        },
        {
          "key" : "minor-contender",
          "doc_count" : 623726
        },
        {
          "key" : "not-a-concern",
          "doc_count" : 594091
        },
        {
          "key" : "work-as-usual",
          "doc_count" : 300578
        },
        {
          "key" : "almost-invisible",
          "doc_count" : 268338
        }
      ]
    }
  }
}

I now need to use it to create a bi-weekly email with a report that I'd like to look a lot like kibana's own page :

Can this be achieved inside the ELK stack or should I take the data out and run it through some python and email it?

Many thanks,
Dan