本文整理汇总了Python中elastic.query.Query.nested方法的典型用法代码示例。如果您正苦于以下问题：Python Query.nested方法的具体用法？Python Query.nested怎么用？Python Query.nested使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类elastic.query.Query的用法示例。
在下文中一共展示了Query.nested方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: fetch_overlapping_features
# 需要导入模块: from elastic.query import Query [as 别名]
# 或者: from elastic.query.Query import nested [as 别名]
def fetch_overlapping_features(cls, build, seqid, start, end, idx=None, idx_type=None, disease_id=None):
''' function to create fetch overlapping features for a given stretch of region
the build info is stored as nested document..so nested query is build
@type build: string
@param build: build info eg: 'GRCh38'
@type seqid: string
@param seqid: chromosome number
@type start: string
@param start: region start
@type end: string
@param end: region end
@type idx: string
@param idx: name of the index
@type idx_type: string
@param idx_type: name of the idx type, each criteria is an index type
@type disease_id: string
@param disease_id: disease code
'''
nbuild = build
start_range = start
end_range = end
bool_range = BoolQuery()
bool_range.must(RangeQuery("build_info.start", lte=start_range)) \
.must(RangeQuery("build_info.end", gte=end_range))
or_filter = OrFilter(RangeQuery("build_info.start", gte=start_range, lte=end_range))
or_filter.extend(RangeQuery("build_info.end", gte=start_range, lte=end_range)) \
.extend(bool_range)
bool_query = BoolQuery()
if disease_id:
qnested_buildinfo = Query.nested('build_info', bool_query)
bool_query = BoolQuery()
bool_query.must(Query.term("disease", disease_id.lower())).must(qnested_buildinfo)
qnested = ElasticQuery(bool_query, sources=['build_info.*',
'disease_locus',
'disease',
'chr_band',
'species'])
else:
bool_query.must(Query.term("build_info.build", nbuild)) \
.must(Query.term("build_info.seqid", seqid)) \
.filter(or_filter)
qnested = ElasticQuery(Query.nested('build_info', bool_query), sources=['build_info.*',
'disease_locus',
'disease',
'chr_band',
'species'])
elastic = Search(qnested, idx=idx, idx_type=idx_type)
res = elastic.search()
return res.docs示例2: get_overlapping_hits
# 需要导入模块: from elastic.query import Query [as 别名]
# 或者: from elastic.query.Query import nested [as 别名]
def get_overlapping_hits(self, build, seqid, start, end):
query_bool = BoolQuery(must_arr=[RangeQuery("build_info.start", lte=start),
RangeQuery("build_info.end", gte=end)])
or_filter = OrFilter(RangeQuery("build_info.start", gte=start, lte=end))
or_filter.extend(RangeQuery("build_info.end", gte=start, lte=end)) \
.extend(query_bool)
range_query = FilteredQuery(BoolQuery(must_arr=[Query.term("build_info.seqid", seqid),
Query.term("build_info.build", build)]),
or_filter)
query = ElasticQuery.filtered_bool(
Query.nested("build_info", range_query),
BoolQuery(must_arr=[RangeQuery("tier", lte=2)]),
# sources=["disease", "marker", "chr_band", "tier", "build_info", "disease_locus"]
)
elastic = Search(search_query=query, idx=ElasticSettings.idx('REGION', 'STUDY_HITS'))
return elastic.search().docs示例3: print
# 需要导入模块: from elastic.query import Query [as 别名]
# 或者: from elastic.query.Query import nested [as 别名]
}
# "suggest": {"input": [disease+" "+regionName, regionName], "weight": weight}
resp = requests.put(ElasticSettings.url()+'/' + idx+'/disease_locus/'+locus_id, data=json.dumps(data))
if resp.status_code != 201:
print(str(resp.content))
print("Problem loading "+getattr(doc, "disease")+" "+regionName)
else:
print("Loaded "+locus_id+" - "+regionName)
Search.index_refresh(idx)
diseases_by_seqid = Agg('diseases_by_seqid', 'terms', {"size": 0, "field": "disease"})
disease_hits = Agg('disease_hits', 'reverse_nested', {}, sub_agg=diseases_by_seqid)
seq_hits = Agg('seq_hits', 'terms', {'field': 'build_info.seqid', 'size': 0}, sub_agg=disease_hits)
build_info = Agg('build_info', 'nested', {"path": 'build_info'}, sub_agg=[seq_hits])
qnested = ElasticQuery(Query.nested('build_info', Query.term("build_info.build", build)))
elastic = Search(qnested, idx=idx, aggs=Aggs(build_info), search_type='count')
resultObj = elastic.search()
resultAggs = resultObj.aggs
seq_hits = getattr(resultAggs['build_info'], 'seq_hits')['buckets']
for chr_bucket in seq_hits:
seqid = chr_bucket['key'].upper()
for disease_bucket in chr_bucket['disease_hits']['diseases_by_seqid']['buckets']:
# print(disease_bucket)
disease_code = disease_bucket['key']
print("\n"+str(seqid)+" - "+disease_code)
query2 = ElasticQuery.filtered_bool(
Query.nested("build_info", BoolQuery(
must_arr=[Query.term("build_info.seqid", chr_bucket['key']), Query.term("build_info.build", build)])),