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| from elasticsearch_dsl import Search, Q, query as dslq | |
| from app import es | |
| targetings = [ | |
| { | |
| "field": "country", | |
| "operator": "NOT IN", | |
| "value": "BD" | |
| }, | |
| { | |
| "field": "offer_id", | |
| "operator": "=", | |
| "value": 1234 | |
| }, | |
| { | |
| "field": "platform", | |
| "operator": "=", | |
| "value": "iOS" | |
| } | |
| ] | |
| s = Search(using=es, index="users") | |
| s.extra(size=volume) | |
| logical_operator_mappings = { | |
| 'IN': 'must', | |
| 'NOT IN': 'must_not', | |
| 'AND': 'must', | |
| 'OR': 'should', | |
| '=': 'filter' | |
| } | |
| q = Q() | |
| for query in targetings: | |
| bool_q = Q('bool', | |
| **{logical_operator_mappings.get( | |
| query.get('operator') | |
| ): Q('term', **{query["field"]: query["value"]})}) | |
| q += bool_q | |
| s = s.query(q) | |
| s.query = dslq.FunctionScore( | |
| query=s.query, | |
| functions=[dslq.SF('random_score')], | |
| boost_mode="replace" | |
| ) | |
| res = s.execute() | |
| subscribers = [] | |
| for row in res.hits: | |
| subscriber = row.to_dict() | |
| subscriber['_id'] = row.meta.id | |
| subscribers.append(subscriber) | |
| return subscribers |
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