Add values of one key of all objects only where other keys have the required values and group by another value

I have about 5 key-value pairs in elasticsearch data per object, I want to add the values of certain keys(audio_calls) of those objects where some other keys have the values I want(network_type, weather). I want the result to be grouped by area_num .

For example

{
  .
  .
  "audio_calls":2000,
  "area": "a",
  "area_num": 1, 
  "network_type":"3g",
  "weather":"sunny"
  .
  .
}

{
  .
  .
  "audio_calls":1420,
  "area": "a",
  "area_num": 1, 
  "network_type":"4g",
  "weather":"stormy"
  .
  .
}

{
  .
  .
  "audio_calls": 1503, 
  "area": "c",
  "area_num": 2,
  "network_type":"4g",
  "weather":"cold"
} 

{
  .
  .
  "audio_calls": 4051, 
  "area": "c",
  "area_num": 2,
  "network_type":"4g",
  "weather":"sunny"
}

{
 . 
 .
 "audio_calls": 240,
 "area": "e",
 "area_num": 3,
 "network_type":"2g",
 "weather":"cloudy"
 .
 .
 .    
}
.
.
.

I am guessing I have to do this using aggregations but, I don't know how to conditionally add the audio_calls values, say add only those audio_calls where network_type is 3g and weather is sunny .

With the (PHP)code I tried (Filtered Aggregation), aggregation simply added all the calls in all the objects without grouping by area_num.

'aggs' => [
        'filter_by_conditions' => [
                'filter' => [
         'terms' => ['network_type' => $network_type],
         'terms' => ['weather' => $weather],
                            ],
                'aggs' => [
                    'sum_of_calls' => [
                       'sum' => ['field' => $call_type]
                                      ],
                    'aggs' => [
                         'terms' => ['field' => $area_num, 'size' => 1000]
                              ]
                          ]                   
          ]

where $call_type = "audio_calls"

The output does not group by area_num, it simply adds all the audio_calls and gives one number.

"aggregations":{"filter_by_conditions":  
{"doc_count":1665,"sum_of_calls":{"value":31464}}}}

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