def _floor_copy(klass, floor):
"""
Given a floor, perform a pseudo-deep copy, filtering unnecessary keys
for floor merging.
For pseudo-deep we mean that fields in the dictionary are copied on a
per-case basis. In particular, rooms are merged together into a new
room object, so that further processing algorithms won't change the
original ones.
Arguments:
- floor: a dictionary containing a floor information
Return Value: a new foor object that copies information from the original
floor, ignoring however unused keys.
"""
result = {}
result["f_id"] = floor["f_id"]
result["walls"] = floor.get("walls", [])
result["windows"] = floor.get("windows", [])
result["rooms"] = {}
result["unidentified_rooms"] = []
# 1 - copia lista di stanze, creando copie e lasciando soltanto le
# chiavi necessarie per il merging.
final_room_keys = [
"polygon",
"cat_id",
"room_name",
"equipments",
"accessibility",
"capacity"
]
for room_id, room in floor.get("rooms", {}).items():
result["rooms"][room_id] = filter_keys(room, final_room_keys)
# 2- copia lista di stanze non identificate, creando copie e lasciando
# soltanto le chiavi necessarie per il merging.
for room in floor.get("unidentified_rooms", []):
new_room = filter_keys(room, final_room_keys)
result["unidentified_rooms"].append(new_room)
return result
def _apply_columns_filter(self, possible_headers):
"""Ensure headers contains no leading or trailing spaces, and apply the
necessary column filters, according to inferred csv type"""
# If we have been able to infer csv type, we must also apply the filter
if self.service and self.entities_type:
valid_headers = possible_headers[self.service][self.entities_type]
self.header = [s for s in self.header if s in valid_headers]
self.content = [filter_keys(c, self.header) for c in self.content]
def _apply_columns_filter(self, possible_headers):
"""Ensure headers contains no leading or trailing spaces, and apply the
necessary column filters, according to inferred csv type"""
# If we have been able to infer csv type, we must also apply the filter
if self.service and self.entities_type:
valid_headers = possible_headers[self.service][self.entities_type]
self.header = [s for s in self.header if s in valid_headers]
self.content = [filter_keys(c, self.header) for c in self.content]
def create_from_building(building):
identic_keys = [
"address", "building_number", "building_name", "l_b_id", "coordinates"
]
merged_key = building.get("merged", {})
bv_attrs = myfunctools.filter_keys(merged_key, identic_keys)
bv_attrs["_id"] = building["_id"]
bv_attrs["floors"] = [
BuildingView._prepare_floor_obj(f)
for f in building.get_path("merged.floors", [])
]
return BuildingView(bv_attrs)
