def search(self):
"""
Construct the Search object.
"""
s = Search(doc_type=self.doc_types, using=es.client,
index=es.index_name)
# don't return any fields, just the metadata
s = s.fields([])
# Sort from parameters
s = s.sort(*self.sorts)
# Paginate from parameters
s = s[self.page_start:self.page_end]
# Same construction as parent class
# Allows to give the same signature as simple search
# ie. Response(data) instead of Response(search, data)
return s.response_class(partial(SearchResult, self))
def search(self):
"""
Construct the Search object.
"""
s = Search(doc_type=self.doc_types, index=self.index)
return s.response_class(partial(ImprovedFacetedResponse, self))
def search_content(
self,
search_string: str,
size: typing.Optional[int],
page_nb: typing.Optional[int],
content_types: typing.Optional[typing.List[str]] = None,
show_deleted: bool = False,
show_archived: bool = False,
show_active: bool = True,
) -> ContentSearchResponse:
"""
Search content into elastic search server:
- do no show archived/deleted content by default
- filter content found according to workspace of current_user
"""
# FIXME BS 2019-06-10: Load ES model only when ES search (see #1892)
from tracim_backend.lib.search.es_models import IndexedContent
if not search_string:
return EmptyContentSearchResponse()
filtered_workspace_ids = self._get_user_workspaces_id(
min_role=UserRoleInWorkspace.READER)
# INFO - G.M - 2019-05-31 - search using simple_query_string, which mean user-friendly
# syntax to match complex case,
# see https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-simple-query-string-query.html
search = Search(
using=self.es,
doc_type=IndexedContent,
index=self.index_document_alias
).query(
"simple_query_string",
query=search_string,
# INFO - G.M - 2019-05-31 - "^5" means x5 boost on field, this will reorder result and
# change score according to this boost. label is the most important, content is
# important too, content of comment is less important. filename and file_extension is
# only useful to allow matching "png" or "nameofmycontent.png".
fields=[
"label^5",
"filename",
"file_extension",
"raw_content^3",
"comments.raw_content",
"attachment.content^3",
],
)
# INFO - G.M - 2019-05-14 - do not show deleted or archived content by default
if not show_active:
search = search.exclude("term", is_active=True)
if not show_deleted:
search = search.exclude("term", is_deleted=True)
search = search.filter("term", deleted_through_parent_id=0)
if not show_archived:
search = search.exclude("term", is_archived=True)
search = search.filter("term", archived_through_parent_id=0)
search = search.response_class(ESContentSearchResponse)
# INFO - G.M - 2019-05-21 - remove raw content of content of result in elasticsearch
# result, because we do not need them and for performance reasons.
search = search.source(
exclude=["raw_content", "*.raw_content", "attachment.*", "file"])
# INFO - G.M - 2019-05-16 - None is different than empty list here, None mean we can
# return all workspaces content, empty list mean return nothing.
if size:
search = search.extra(size=size)
if page_nb:
search = search.extra(
from_=self.offset_from_pagination(size, page_nb))
if filtered_workspace_ids is not None:
search = search.filter("terms",
workspace_id=filtered_workspace_ids)
if content_types:
search = search.filter("terms", content_type=content_types)
res = search.execute()
return res
def search(self):
es = get_query_client()
s = Search(doc_type=self.doc_types, index=index_name(), using=es)
s = s.params(size=BATCH_SIZE)
return s.response_class(FacetedResponse)
def search(self):
"""
Construct the Search object.
"""
s = Search(doc_type=self.doc_types, index=self.index)
return s.response_class(partial(ImprovedFacetedResponse, self))
