def query_ec(self, str_query, q_fields, start_date=0, end_date=0, index='logs-*', doc_type='logs',
                 hours=24, debug=False):
        if start_date > end_date:
            raise Exception('The start_date can\'t be greater than the end_date')

        if start_date == 0 or end_date == 0:
            dt_end_date = datetime.now().timestamp()
            dt_start_date = (datetime.now() - timedelta(hours=hours)).timestamp()
            start_date = int(dt_start_date) * 1000
            end_date = int(dt_end_date) * 1000

        # print(str(start_date) + ' -- ' + str(end_date))

        elastic_qry = ElasticQuery(es=self.elastic_client, index=index, doc_type=doc_type)
        elastic_qry.query(
            Query.bool(
                must=[Query.query_string(str_query),
                      Query.range('normalDate', gte=start_date, lte=end_date)]
            )
        )

        elastic_qry.aggregate(
            Aggregate.date_histogram('2', 'normalDate', '12h')
        )

        my_qry = elastic_qry.dict()
        my_qry['stored_fields'] = q_fields

        search_arr = list()
        header_qry = {"index": ["logs-*"], "ignore_unavailable": True}
        search_arr.append(header_qry)
        search_arr.append(my_qry)

        print('Elastic Query: ' + str(search_arr))
        print('------------------------------------------------------------------------------------')
        print('Lucene Query: ' + str_query)

        request = ''
        for each in search_arr:
            request += '%s \n' % json.dumps(each)

        # print(request)

        resp = self.elastic_client.msearch(body=request)

        if resp is None and len(resp['responses']) <= 0:
            return None
        else:
            response = resp['responses'][0]
            hits_data = list()
            if response['hits']['total'] > 0:
                for hit in response['hits']['hits']:
                    hits_data.append(hit)

        # print(str(hits_data))

        return search_arr, hits_data
Пример #2
0
    def test_invalid_arg(self):
        # Test passing not a list
        with self.assertRaises(ValueError):
            Query.bool(must=set())

        # And now an invalid list
        with self.assertRaises(ValueError):
            Query.bool(must=[None])

        # And now an invalid list
        with self.assertRaises(ValueError):
            Query.bool(must=[Aggregate.terms('test', 'test')])

        # And now an invalid list
        with self.assertRaises(ValueError):
            Query.range('field', gte=['error'])

        # Empty list should be OK/ignored
        Query.bool(must=[])
Пример #3
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    def search(self, parms):
        device_controller = DeviceController(self.db, self.logger)

        if "location" in parms.keys():
            list_location_ip = device_controller.get_device_list_by_locationid(
                parms["location"])

        if "device" in parms.keys():
            list_device_ip = device_controller.get_device_list_by_hostname(
                parms["device"])

        #Doing intersection between device search and device in location
        search_ip = list(set(list_location_ip) & set(list_device_ip))
        print search_ip
        query_search = []
        if search_ip:
            query_search.append(Query.terms('host', search_ip))

            if parms["time"]:
                time_from = parms["time"]["from"].split(" ")[0]
                time_to = parms["time"]["to"].split(" ")[0]
                query_search.append(
                    Query.range('@timestamp', gte=time_from, lte=time_to))

            if parms["severityLevel"]:
                query_search.append(
                    Query.terms('severity', parms["severityLevel"]))

            if parms["keywordMessage"]:
                message_search = []
                message_search.append(parms["keywordMessage"])
                query_search.append(Query.terms('message', message_search))

            index = "syslog*"
            es = Elasticsearch(["http://192.168.100.249:9200"])
            q = ElasticQuery(es=es, index=index, doc_type='doc')

            # q.query(Query.match_all())
            q.size(1000)
            q.query(Query.bool(must=query_search))
            #q.query(Aggregate.terms(must=query_search))

            print q.json(indent=4)
            query_result = self.format_results(q.get())
            return query_result
        #No index to query
        else:
            return []
Пример #4
0
            'default_operator': 'AND'
        }
    },
    'STRING': {
        'query_string': {
            'query':
            'field_name1:value_name1 AND (field_name2:((value_name2) OR (value_name3)))',
            'default_operator': 'AND'
        }
    },
    'NESTED_FILTER': {}
}

# Test filters
print '[ElasticQuery] Testing: filters & queries'
query = Query.range('field_name1', gt=0, lte=100)[1]
test('Query.range', query, FILTERS['RANGE'])

query = Query.prefix(field_name1='value_name1')[1]
test('Query.prefix', query, FILTERS['PREFIX'])

query = Query.term(field_name1='value_name1')[1]
test('Query.term', query, FILTERS['TERM'])

query = Query.terms(field_name1=['value_name1', 'value_name2'])[1]
test('Query.terms', query, FILTERS['TERMS'])

query = Filter.missing('field_name1')[1]
test('Filter.missing', query, FILTERS['FILTER_MISSING'])
query = Query.missing('field_name1')[1]
test('Query.missing', query, FILTERS['QUERY_MISSING'])