def _group_version_id_relationship_types_by_relationship_type(
version_id_relationship_type_tuples: List[Tuple[VersionId, RelationshipType]]
) -> Dict[RelationshipType, Set[VersionId]]:
return applymap_dict(groupby_to_dict(
version_id_relationship_type_tuples,
lambda x: x[1],
lambda x: x[0]
), set)
def _group_by_person_id_then_relationship_type(
person_id_version_id_relationship_type_tuples: List[
Tuple[PersonId, VersionId, RelationshipType]
]
) -> Dict[PersonId, Dict[RelationshipType, Set[VersionId]]]:
return applymap_dict(groupby_to_dict(
person_id_version_id_relationship_type_tuples,
lambda x: x[0],
lambda x: x[1:]
), _group_version_id_relationship_types_by_relationship_type)
def get_person_ids_by_version_id_for_stage_names(self, version_ids,
stage_names):
db = self._db
stage_table = db.manuscript_stage.table
return applymap_dict(
groupby_to_dict(
db.session.query(
stage_table.version_id, stage_table.person_id).filter(
sqlalchemy.and_(
stage_table.version_id.in_(version_ids),
stage_table.stage_name.in_(stage_names))).all(),
lambda row: row[0], lambda row: row[1]), set)
def dedup_map_values(values_map):
return applymap_dict(values_map, lambda values: sorted(set(values)))
def normalise_subject_area_map(subject_area_map):
return applymap_dict(
subject_area_map, lambda subject_areas:
[normalise_subject_area(s) for s in subject_areas])