How do I do a filtered query using Elasticsearch DSL (python)

I'm trying to figure out how to query elasticsearch where I have a field and basically I want to find where state=Fail.

Now I have my data imported and am able to query it using Kibana just fine and it returns about 800 items for that time range which is what I expect.

My kibana query looks like:

{
  "size": 500,
  "sort": [
    {
      "timestamp": {
        "order": "desc",
        "unmapped_type": "boolean"
      }
    }
  ],
  "query": {
    "filtered": {
      "query": {
        "query_string": {
          "query": "state:\"Fail\"",
          "analyze_wildcard": true
        }
      },
      "filter": {
        "bool": {
          "must": [
            {
              "range": {
                "timestamp": {
                  "gte": 1441734330633,
                  "lte": 1473356730633,
                  "format": "epoch_millis"
                }
              }
            }
          ],
          "must_not": []
        }
      }
    }
  },
  "highlight": {
    "pre_tags": [
      "@kibana-highlighted-field@"
    ],
    "post_tags": [
      "@/kibana-highlighted-field@"
    ],
    "fields": {
      "*": {}
    },
    "require_field_match": false,
    "fragment_size": 2147483647
  },
  "aggs": {
    "2": {
      "date_histogram": {
        "field": "timestamp",
        "interval": "1w",
        "time_zone": "America/New_York",
        "min_doc_count": 0,
        "extended_bounds": {
          "min": 1441734330632,
          "max": 1473356730633
        }
      }
    }
  },
  "fields": [
    "*",
    "_source"
  ],
  "script_fields": {},
  "fielddata_fields": [
    "timestamp"
  ]
}

Now using elasticsearch dsl official python library I am trying with:

search = Search(using=client)
response = search.query(Q('term', state='Fail'))
response.execute()
response.count()

They count shows 47430 items, which is not correct, it should be around 800.

I have also tried:

response = search.filter('term', state='Fail')
response.execute()
response.count()

This also seems to report 47430 number again.

Any thoughts as to what I'm doing wrong would greatly be appreciated.