def search(collection, p, of, ot, so, sf, sp, rm, rg, jrec):
"""Render search page."""
if 'action_browse' in request.args \
or request.args.get('action', '') == 'browse':
return browse()
if 'c' in request.args and len(request.args) == 1 \
and len(request.args.getlist('c')) == 1:
return redirect(url_for('.collection', name=request.args.get('c')))
if 'f' in request.args:
args = request.args.copy()
args['p'] = "{0}:{1}".format(args['f'], args['p'])
del args['f']
return redirect(url_for('.search', **args))
# fix for queries like `/search?p=+ellis`
p = p.strip().encode('utf-8')
response = Query(p).search(collection=collection.name)
response.body.update({
'size': int(rg),
'from': jrec-1,
'aggs': cfg['SEARCH_ELASTIC_AGGREGATIONS'].get(
collection.name.lower(), {}
)
})
if sf in cfg['SEARCH_ELASTIC_SORT_FIELDS']:
so = so if so in ('asc', 'desc') else ''
sorting = {
'sort': {
sf: {
'order': so
}
}
}
response.body.update(sorting)
# FIXME refactor to separate search hook
filtered_facets = ''
from invenio_search.walkers.elasticsearch import ElasticSearchDSL
if 'post_filter' in request.values and request.values['post_filter']:
parsed_post_filter = Query(request.values.get('post_filter'))
post_filter = parsed_post_filter.query.accept(
ElasticSearchDSL()
)
response.body['query'] = {
"filtered": {
'query': response.body['query'],
'filter': post_filter
}
}
# extracting the facet filtering
from invenio_search.walkers.facets import FacetsVisitor
filtered_facets = parsed_post_filter.query.accept(
FacetsVisitor()
)
# sets cannot be converted to json. use facetsVisitor to convert them
# to lists
filtered_facets = FacetsVisitor.jsonable(filtered_facets)
else:
# Save current query and number of hits in the user session
session_key = 'last-query' + p + collection.name
if not session.get(session_key):
session[session_key] = {}
session[session_key] = {
"p": p,
"collection": collection.name,
"number_of_hits": len(response),
"timestamp": datetime.datetime.utcnow()
}
number_of_hits = len(response)
if number_of_hits and jrec > number_of_hits:
args = request.args.copy()
args['jrec'] = 1
return redirect(url_for('.search', **args))
pagination = Pagination((jrec-1) // rg + 1, rg, number_of_hits)
ctx = dict(
facets={}, # facets.get_facets_config(collection, qid),
filtered_facets=filtered_facets,
response=response,
rg=rg,
ot=ot,
pagination=pagination,
collection=collection,
)
# TODO add search services
# TODO add external collection search
return response_formated_records(response.records(), of, **ctx)
def search(collection, p, of, ot, so, sf, sp, rm, rg, jrec):
"""Render search page."""
if 'action_browse' in request.args \
or request.args.get('action', '') == 'browse':
return browse()
if 'c' in request.args and len(request.args) == 1 \
and len(request.args.getlist('c')) == 1:
return redirect(url_for('.collection', name=request.args.get('c')))
if 'f' in request.args:
args = request.args.copy()
args['p'] = "{0}:{1}".format(args['f'], args['p'])
del args['f']
return redirect(url_for('.search', **args))
# fix for queries like `/search?p=+ellis`
p = p.strip().encode('utf-8')
collection_breadcrumbs(collection)
response = Query(p).search(collection=collection.name)
response.body.update({
'size': int(rg),
'from': jrec-1,
'aggs': {
"collection": {"terms": {"field": "_collections"}},
"author": {"terms": {"field": "authors.raw"}},
},
})
# FIXME refactor to separate search hook
filtered_facets = ''
from invenio_search.walkers.elasticsearch import ElasticSearchDSL
if 'post_filter' in request.values:
parsed_post_filter = Query(request.values.get('post_filter'))
post_filter = parsed_post_filter.query.accept(
ElasticSearchDSL()
)
response.body['post_filter'] = post_filter
# extracting the facet filtering
from invenio_search.walkers.facets import FacetsVisitor
filtered_facets = parsed_post_filter.query.accept(
FacetsVisitor()
)
# sets cannot be converted to json. use facetsVisitor to convert them to
# lists
filtered_facets = FacetsVisitor.jsonable(filtered_facets)
if len(response) and jrec > len(response):
args = request.args.copy()
args['jrec'] = 1
return redirect(url_for('.search', **args))
pagination = Pagination((jrec-1) // rg + 1, rg, len(response))
ctx = dict(
facets={}, # facets.get_facets_config(collection, qid),
filtered_facets=filtered_facets,
response=response,
rg=rg,
create_nearest_terms_box=lambda: _("Try to modify the query."),
easy_search_form=EasySearchForm(csrf_enabled=False),
ot=ot,
pagination=pagination,
collection=collection,
)
# TODO add search services
# TODO add external collection search
return response_formated_records(response.records(), of, **ctx)
def search(collection, p, of, ot, so, sf, sp, rm, rg, jrec):
"""Render search page."""
if 'action_browse' in request.args \
or request.args.get('action', '') == 'browse':
return browse()
if 'c' in request.args and len(request.args) == 1 \
and len(request.args.getlist('c')) == 1:
return redirect(url_for('.collection', name=request.args.get('c')))
if 'f' in request.args:
args = request.args.copy()
args['p'] = "{0}:{1}".format(args['f'], args['p'])
del args['f']
return redirect(url_for('.search', **args))
# fix for queries like `/search?p=+ellis`
p = p.strip().encode('utf-8')
collection_breadcrumbs(collection)
response = Query(p).search(collection=collection.name)
response.body.update({
'size': int(rg),
'from': jrec-1,
'aggs': {
"collection": {"terms": {"field": "_collections"}},
"author": {"terms": {"field": "authors.raw"}},
},
})
# FIXME refactor to separate search hook
filtered_facets = ''
from invenio_search.walkers.elasticsearch import ElasticSearchDSL
if 'post_filter' in request.values:
parsed_post_filter = Query(request.values.get('post_filter'))
post_filter = parsed_post_filter.query.accept(
ElasticSearchDSL()
)
response.body['post_filter'] = post_filter
# extracting the facet filtering
from invenio_search.walkers.facets import FacetsVisitor
filtered_facets = parsed_post_filter.query.accept(
FacetsVisitor()
)
# sets cannot be converted to json. use facetsVisitor to convert them to
# lists
filtered_facets = FacetsVisitor.jsonable(filtered_facets)
if len(response) and jrec > len(response):
args = request.args.copy()
args['jrec'] = 1
return redirect(url_for('.search', **args))
pagination = Pagination((jrec-1) // rg + 1, rg, len(response))
ctx = dict(
facets={}, # facets.get_facets_config(collection, qid),
filtered_facets=filtered_facets,
response=response,
rg=rg,
create_nearest_terms_box=lambda: _("Try to modify the query."),
easy_search_form=EasySearchForm(csrf_enabled=False),
ot=ot,
pagination=pagination,
collection=collection,
)
# TODO add search services
# TODO add external collection search
return response_formated_records(response.records(), of, **ctx)
