Scripting a range aggregation

Hi. I have this multi-level aggregation, that I would like to convert. Problem is, I don’t know how to code the ranges part is Python.

CURL code

POST /_search
{
    "size": 0,
    "aggs": {
        "by_property" : {
            "terms": {
                "field": "propertyId",
                "size": 0
            },
            "aggs": {
                "twitter_count": {
                    "range": {
                        "field": "twitterAccount.followers",
                        "ranges": [
                            { "to" : 5001},
                            { "from" : 5001, "to" : 10001},
                            { "from" : 10001, "to" : 50001},
                            { "from" : 50001}
                        ]
                    },
                    "aggs" : {
                        "email_addy": {
                            "terms" : {
                                "field": "emails.value",
                                "size": 0
                            }
                        }
                    }
                }
            }
        }
    }
}

Python DSL code

s.aggs.bucket('by_property', 'terms', field='propertyId', size=0) \
    .bucket('twitter_count', 'range', field='twitterAccount.followers')

How do I continue the aggregation and say what ranges, the range uses? .ranges( )? body=range{ } ?

[honzakral]

Hi,

the mechanism is always the same, whatever you would put inside of the json object, just pass in as kwargs, in this case:

s.aggs.bucket('by_property', 'terms', field='propertyId', size=0)\
    .bucket('twitter_count', 'range',
        field='twitterAccount.followers',
        ranges=[
            {'to': 5001},
            {'from': 5001, 'to': 10001},
            {'from': 10001, 'to': 50001},
            {'from': 50001}
        ]
    )

Note that you can always use Search.from_dict to just pass it the json you would send by curl and then inspect the resulting object and it’s repr:

s = Search.from_dict({...})
print(repr(s.aggs['by_property']['twitter_count']))

Hope this helps

[vbaii]

Thank so much Honza. I’m new to both Python and ElasticSearch, which conflates my syntax issues. I will also try Search.from_dict. That will come in handy for some other queries down the line. This definitely helped. Thanks again.