I have an Eleaticsearch index named 'demoadmin' with type named 'billing'. I have executed this following query body using POST successfully .
{"query": { "filtered":{ "query" : {"match_all": {}}, "filter": { "bool": { "must":[{ "term": { "Month": "01" }}, { "term": { "Year": "2018" }}] } } } }, "size": 0, "aggregations": { "Total Cost": { "sum": { "field": "UnBlendedCost" } } } }
this query returns the output like the following
{
"took": 16,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 503206,
"max_score": 0,
"hits": [ ]
},
"aggregations": {
"Total Cost": {
"value": 5849.867677253019
}
}
}
The query and the outputs looks like the following in Elasticsearch-head
Query and output in Elasticsearch - head
When I am trying to converting this code to python using elasticsearch python API ,the code is like the following and it returns the same output.
ADMIN_INDEX_NAME ='demoadmin'
es_client = get_es_client()
def get_aggregated_total_cost_for_current_month(month,year):
'''Get Aggregated total cost for the current month'''
body = '{"query": { "filtered":{ "query" : {"match_all": {}}, "filter": { "bool": { "must":[{ "term": { "Month": "' + month + '" }}, { "term": { "Year": "' + year + '" }}] } } } }, "size": 0, "aggregations": { "Total Cost": { "sum": { "field": "UnBlendedCost" } } } }'
total_cost_result = es_client.search(index=ADMIN_INDEX_NAME, doc_type="billing", body=body)
raw_total_cost = total_cost_result['aggregations']['Total Cost']['value']
total_cost = float("%.2f" % raw_total_cost)
print(str(total_cost))
return total_cost
I am trying to convert the code in elasticsearch-dsl and got stuck. I have completed up to applying the filter but after that getting confused on what to do. So far I have implemented the code in elasticsearch-dsl like the following
def get_aggregated_total_cost_for_current_month_new(month,year):
'''Get Aggregated total cost for the current month'''
s = Search(using=es_client, index=ADMIN_INDEX_NAME, doc_type="billing") \
.filter("term", Month=month).filter("term", Year=year)
response = s.execute()
Not sure how to proceed from here. Could some body help me on the aggregation part ?
This should do it:
# set size 0
s = s[:0]
s.aggs.metric('total_cost', 'sum', field="UnBlendedCost")
then, when you execute your query you can access the agg result as:
response.aggregations.total_cost.value
Hope this helps!