def get_general_hierarchic_paths_query_dict(
raw_path,
root_field,
field_suffix,
hierarchy_delim=configs.REQUEST_PROP_HIERARCHY_DELIM,
or_delim=configs.REQUEST_OR_OPERATOR,
obj_all_slug='',
attribute_field_part='',
):
"""Make a solr query for a hierarchic raw path string that may have OR operations."""
if not raw_path:
return None
query_dict = {'fq': [], 'facet.field': []}
paths_as_lists = utilities.infer_multiple_or_hierarchy_paths(
raw_path,
hierarchy_delim=hierarchy_delim,
or_delim=or_delim,
get_paths_as_lists=True,
)
path_terms = []
for path_list in paths_as_lists:
path_query_dict = get_general_hierarchic_path_query_dict(
path_list,
root_field=root_field,
field_suffix=field_suffix,
obj_all_slug=obj_all_slug,
attribute_field_part=attribute_field_part,
)
if not path_query_dict:
# This path had no entities that could not be found in the
# database. For now, just skip.
continue
# All the solr_query terms for a given hiearchic path need to
# be satisfied to in a query. So join all the terms created from
# a given hierarchic path with the "AND" operator into a single
# string.
path_term = utilities.join_solr_query_terms(path_query_dict['fq'],
operator='AND')
# Add this path term to all the path terms.
path_terms.append(path_term)
# Add all of the path_query_dict keys, values to the main
# query dict, except for values from the fq key, which we
# further processed into a path_term.
query_dict = utilities.combine_query_dict_lists(
part_query_dict=path_query_dict,
main_query_dict=query_dict,
skip_keys=['fq'],
)
if not path_terms:
return None
# The different paths iterated above are all "OR" options (union)
# for the different paths. Join those together using the OR
# operator.
all_paths_term = utilities.join_solr_query_terms(path_terms, operator='OR')
query_dict['fq'] = [all_paths_term]
return query_dict
def get_discovery_bbox_query_dict(raw_disc_bbox):
"""Makes a filter query for a discovery location bounding box"""
query_dict = {'fq': []}
terms = []
bbox_list = utilities.infer_multiple_or_hierarchy_paths(
raw_disc_bbox, or_delim=configs.REQUEST_OR_OPERATOR)
for bbox_str in bbox_list:
bbox_coors = utilities.return_validated_bbox_coords(bbox_str)
if not bbox_coors:
# Not valid so skip out of the function
return None
# Valid bounding box, now make a solr-query
# not how solr expacts latitude / longitude order, which
# is the revserse of geojson!
q_bbox = '[{lat_0},{lon_0} TO {lat_1},{lon_1}]'.format(
lat_0=bbox_coors[1],
lon_0=bbox_coors[0],
lat_1=bbox_coors[3],
lon_1=bbox_coors[2],
)
fq_term = 'discovery_geolocation: ' + q_bbox
terms.append(fq_term)
# Join the various bounding box query OR terms.
query_dict['fq'].append(
utilities.join_solr_query_terms(terms, operator='OR'))
return query_dict
def get_object_uri_query_dict(raw_object_uri):
"""Make a query dict for object uris"""
if not raw_object_uri:
return None
query_dict = {'fq': []}
fq_terms = []
values_list = utilities.infer_multiple_or_hierarchy_paths(
raw_object_uri, or_delim=configs.REQUEST_OR_OPERATOR)
id_list = []
for value in values_list:
if not value:
continue
id_list += utilities.make_uri_equivalence_list(value)
for act_id in id_list:
# The act_id maybe a persistent URI, escape it and
# query the persistent_uri string.
escape_id = utilities.escape_solr_arg(act_id)
fq_term = 'object_uri:{}'.format(escape_id)
if fq_term in fq_terms:
# We already have this, so skip
continue
fq_terms.append(fq_term)
# Join the various object_uri queries as OR terms.
query_dict['fq'].append(
utilities.join_solr_query_terms(fq_terms, operator='OR'))
return query_dict
def get_spatial_context_query_dict(spatial_context=None):
'''Returns a query_dict object for a spatial_context path.
:param str spatial_context: Raw spatial context path requested by
the client.
'''
query_dict = {'fq': [], 'facet.field': []}
if not spatial_context:
query_dict['fq'] = []
query_dict['facet.field'] = [SolrDocument.ROOT_CONTEXT_SOLR]
return query_dict
# Get a list of spatial context paths in the client request.
# Multiple paths indicate an "OR" query, where the client is
# requesting the union of different context paths.
paths_list = utilities.infer_multiple_or_hierarchy_paths(
spatial_context,
hierarchy_delim=configs.REQUEST_CONTEXT_HIERARCHY_DELIM,
or_delim=configs.REQUEST_OR_OPERATOR)
# Look up slugs for the subjects entities identified by each of the
# spatial context paths in the paths_list. The valid_context_slugs
# is a list of slugs for entities successfully identified in a
# database lookup of the spatial context paths.
valid_context_slugs = get_valid_context_slugs(paths_list)
path_terms = []
for slug in valid_context_slugs:
parent_slug = get_containment_parent_slug(slug)
if not parent_slug:
# An odd case where we don't have a parent slug.
# Just continue so we don't trigger an error or have
# weird behavior.
continue
path_term = utilities.make_solr_term_via_slugs(
field_slug=parent_slug,
solr_dyn_field=SolrDocument.FIELD_SUFFIX_CONTEXT,
value_slug=slug,
)
path_terms.append(path_term)
# Now add a field to the facet.field list so solr calculates
# facets for any child contexts that may be contained inside
# the context identified by the slug "slug".
query_dict['facet.field'].append(
slug.replace('-', '_') + SolrDocument.SOLR_VALUE_DELIM +
SolrDocument.FIELD_SUFFIX_CONTEXT)
# NOTE: Multiple path terms are the result of an "OR" (||) operator
# in the client's request.
query_dict['fq'].append(
utilities.join_solr_query_terms(path_terms, operator='OR'))
return query_dict
def make_tile_query_dict(raw_tile_path, solr_field, max_path_length):
"""Makes a filter query general tile path (geo or chrono)"""
query_dict = {'fq': [], 'facet.field': [solr_field]}
paths_list = utilities.infer_multiple_or_hierarchy_paths(
raw_tile_path, or_delim=configs.REQUEST_OR_OPERATOR)
terms = []
for path in paths_list:
if len(path) < max_path_length:
path += '*'
fq_term = '{}:{}'.format(solr_field, path)
terms.append(fq_term)
# Join the various path queries as OR terms.
query_dict['fq'].append(
utilities.join_solr_query_terms(terms, operator='OR'))
return query_dict
def get_simple_metadata_query_dict(raw_value, solr_field):
"""Gets a query dict for simple, standard metadata solr fields"""
if not raw_value:
return None
query_dict = {'fq': []}
values_list = utilities.infer_multiple_or_hierarchy_paths(
raw_value, or_delim=configs.REQUEST_OR_OPERATOR)
terms = []
for value in values_list:
if not value:
continue
fq_term = '{}:{}'.format(solr_field, value)
terms.append(fq_term)
# Join the various path queries as OR terms.
query_dict['fq'].append(
utilities.join_solr_query_terms(terms, operator='OR'))
return query_dict
def get_item_type_query_dict(raw_item_type):
"""Gets a query dict for item_types"""
query_dict = {'fq': [], 'facet.field': []}
paths_list = utilities.infer_multiple_or_hierarchy_paths(
raw_item_type, or_delim=configs.REQUEST_OR_OPERATOR)
path_terms = []
for item_type in paths_list:
item_type_slug = configs.ITEM_TYPE_SLUG_MAPPINGS.get(item_type)
if not item_type_slug:
# We can't map the item type to a slug so skip.
continue
path_term = 'item_type:{}'.format(item_type)
path_terms.append(path_term)
# Now add a field to the facet.field list so solr calculates
# facets for class_uris for the current item type.
query_dict['facet.field'].append(
item_type_slug.replace('-', '_') + SolrDocument.SOLR_VALUE_DELIM +
SolrDocument.FIELD_SUFFIX_PREDICATE)
# NOTE: Multiple item_type terms are the result of an "OR" (||) operator
# in the client's request.
query_dict['fq'].append(
utilities.join_solr_query_terms(path_terms, operator='OR'))
return query_dict
def get_identifier_query_dict(raw_identifier):
"""Make a query dict for identifiers"""
if not raw_identifier:
return None
query_dict = {'fq': []}
fq_terms = []
values_list = utilities.infer_multiple_or_hierarchy_paths(
raw_identifier,
or_delim=configs.REQUEST_OR_OPERATOR,
hierarchy_delim=None)
id_list = []
for value in values_list:
if not value:
continue
id_list += utilities.make_uri_equivalence_list(value)
for act_id in id_list:
# The act_id maybe a persistent URI, escape it and
# query the persistent_uri string.
escape_id = utilities.escape_solr_arg(act_id)
fq_terms.append('persistent_uri:{}'.format(escape_id))
if ':' in act_id:
# Skip below, because the act_id has a
# character that's not in uuids or slugs.
continue
# The act_id maybe a UUID.
fq_terms.append('uuid:{}'.format(act_id))
# The act_id maybe a slug, so do a prefix query
# for document slug_type_uri_label.
fq_terms.append('slug_type_uri_label:{}'.format(
utilities.fq_slug_value_format(act_id)))
# Now make URIs in case we have a naked identifier
prefix_removes = [
'doi:', 'orcid:', 'http://dx.doi.org/', 'https://dx.doi.org/',
'http://doi.org/', 'https://doi.org/'
]
for value in values_list:
if not value:
continue
for prefix in prefix_removes:
# strip ID prefixes, case insensitive
re_gone = re.compile(re.escape(prefix), re.IGNORECASE)
identifier = re_gone.sub('', value)
if (identifier.startswith('http://')
or identifier.startswith('https://')):
continue
# Only loop through URI templaces for N2T if
# we have an ARK identifier.
if identifier.startswith('ark:'):
uri_templates = configs.N2T_URI_TEMPLATES
else:
uri_templates = configs.PERSISTENT_URI_TEMPLATES
for uri_template in uri_templates:
escaped_uri = utilities.escape_solr_arg(
uri_template.format(id=identifier))
fq_term = 'persistent_uri:{}'.format(escaped_uri)
if fq_term in fq_terms:
# We already have this, so skip.
continue
fq_terms.append(fq_term)
# Now see if there's a UUID in the identifier.
oc_check = URImanagement.get_uuid_from_oc_uri(value, True)
if oc_check:
# We have an identifier we can interperate as an
# Open Context URI. So extract the uuid part.
fq_term = 'uuid:{}'.format(oc_check['uuid'])
if fq_term in fq_terms:
# We already have this, so skip.
continue
fq_terms.append('uuid:{}'.format(oc_check['uuid']))
# Join the various identifier queries as OR terms.
query_dict['fq'].append(
utilities.join_solr_query_terms(fq_terms, operator='OR'))
return query_dict