def get_database_model(cls, schema: schemas.Item) -> dict:
"""Decompose pydantic model to data model"""
indexed_fields = {}
for field in config.settings.indexed_fields:
# Use getattr to accommodate extension namespaces
field_value = getattr(schema.properties, field)
if field == "datetime":
field_value = datetime.strptime(field_value, DATETIME_RFC339)
indexed_fields[field.split(":")[-1]] = field_value
# Exclude indexed fields from the properties jsonb field
properties = schema.properties.dict(exclude=set(config.settings.indexed_fields))
now = datetime.utcnow().strftime(DATETIME_RFC339)
if not properties["created"]:
properties["created"] = now
properties["updated"] = now
return dict(
collection_id=schema.collection,
geometry=ga.shape.from_shape(shape(schema.geometry), 4326),
properties=properties,
**indexed_fields,
**schema.dict(
exclude_none=True,
exclude=set(
config.settings.forbidden_fields
| {"geometry", "properties", "collection"}
),
)
)
def _preprocess_item(item: schemas.Item) -> Dict:
"""
preprocess items to match data model
# TODO: dedup with GetterDict logic (ref #58)
"""
item = item.dict(exclude_none=True)
item["geometry"] = json.dumps(item["geometry"])
item["collection_id"] = item.pop("collection")
item["datetime"] = item["properties"].pop("datetime")
return item
