def setUp(self):
self.body_build = SearchBodyBuild()
self.body_build.range('time', 'start', 'end')\
.must('ip', '10.10.0.0')\
.groupby_date('time', '1d')\
.groupby('domain')\
.sum('pv')
self.res = {
'hits': {},
'_shards': {},
'took': 100,
'aggregations': {
'time-date_histogram': {
'buckets': [
{
'domain-terms': {
'buckets': [
{
'pv-sum': {
'value': 2000
},
'key': 'www.xxxx.com',
'doc_count': 1000
}
],
'sum_other_doc_count': 0,
'doc_count_error_upper_bound': 0
},
'key_as_string': '1111-11-11',
'key': 11111111,
'doc_count': 11111111
},
{
'domain-terms': {
'buckets': [
{
'pv-sum': {
'value': 2000
},
'key': 'www.xxxx.com',
'doc_count': 1000
}
],
'sum_other_doc_count': 0,
'doc_count_error_upper_bound': 0
},
'key_as_string': '2222-22-22',
'key': 22222222,
'doc_count': 22222222
}
],
}
}
}
self.pre_parser = parse_aggs.parse(self.body_build, self.res)
def setUp(self):
self.esbody = SearchBodyBuild()
self.testquery = {
'query': {
'bool': {
'must': [
{
'bool': {
'should': []
}
},
]
}
}
}
self.testaggs = {}
import datetime
from esearch.query import SearchBodyBuild
from esearch import parse_aggs
# Construct the search body
body_build = SearchBodyBuild()
end = datetime.datetime.now()
start = end - datetime.timedelta(days=10)
body = body_build.range('time', start, end)\
.must('ip', '10.10.0.0')\
.groupby_date('time', '1d')\
.groupby('domain')\
.sum('pv')\
.get_body()
print body
# Search
# import elasticsearch
# es_client = elasticsearch.Elasticsearch()
# res = es_client.search(index='test', body=body, doc_type='test')
res = {
'hits': {},
'_shards': {},
'took': 100,
'aggregations': {
'time-date_histogram': {
'buckets': [{
'domain-terms': {
'buckets': [{
