def create_sort() -> Search:
"""
Apply sort for Search object.
Return:
Search object
"""
must_query = Q("term", published=False)
s = create_search(must=[must_query], sort={"_score": {"order": "desc"}})
return s
# -*- coding: utf-8 -*-
import json
from elasticsearch_dsl.query import Q
from iadz.third_party.elasticsearch.es_fields import create_connection, create_search
if __name__ == "__main__":
client = create_connection()
publish_query = Q("filter", **{"published": True})
s = create_search(must=[publish_query])
response = s.execute()
print(f"Response: {json.dumps(response.to_dict())}")
# -*- coding: utf-8 -*-
import json
from elasticsearch_dsl.query import Q
from iadz.third_party.elasticsearch.es_fields import create_connection, create_search
if __name__ == "__main__":
client = create_connection()
publish_query = Q("term", **{"published": True})
comment_query = Q(
"nested",
path="comments",
query=Q("bool",
must=[Q("term", **{"comments.author": "iamdavidzeng"})]),
)
s = create_search(must=[publish_query, comment_query])
response = s.execute()
print(f"Response: {json.dumps(response.to_dict())}")
# -*- coding: utf-8 -*-
import json
from elasticsearch_dsl.query import Q
from iadz.third_party.elasticsearch.es_fields import create_connection, create_search
if __name__ == "__main__":
client = create_connection()
publish_query = Q("term", **{"published": True})
s = create_search(filter_=[publish_query])
response = s.execute()
print(f"Response: {json.dumps(response.to_dict())}")
# -*- coding: utf-8 -*-
import json
from iadz.third_party.elasticsearch.es_fields import create_connection, create_search
if __name__ == "__main__":
client = create_connection()
limit_fields = {
"includes": ["title", "category"],
"excludes": ["comments"]
}
s = create_search(source=limit_fields)
response = s.execute()
print(f"Response: {json.dumps(response.to_dict())}")
# -*- coding: utf-8 -*-
import json
from elasticsearch_dsl.aggs import A
from iadz.third_party.elasticsearch.es_fields import create_connection, create_search
if __name__ == "__main__":
client = create_connection()
s = create_search()
a = A("terms", field="category")
s.aggs.bucket("category_terms", a)
response = s.execute()
print(f"Response: {json.dumps(response.to_dict())}")