def flatten_tiles(self,
tiles,
datatype_factory,
compact=True,
use_fieldname=False):
feature_collections = {}
compacted_data = {}
lookup = {}
has_geometry = False
for tile in tiles: # normalize tile.data to use labels instead of node ids
compacted_data["resourceid"] = tile["resourceinstance_id"]
for nodeid, value in tile["data"].items():
node = self.get_node(nodeid)
if node.exportable:
datatype = datatype_factory.get_instance(node.datatype)
node_value = datatype.get_display_value(tile, node)
label = node.fieldname if use_fieldname is True else node.name
if compact:
if node.datatype == "geojson-feature-collection":
has_geometry = True
feature_collections = self.get_feature_collections(
tile, node, feature_collections, label,
datatype)
else:
try:
compacted_data[label] += ", " + str(node_value)
except KeyError:
compacted_data[label] = str(node_value)
else:
data[label] = str(node_value)
if not compact: # add on the cardinality and card_names to the tile for use later on
tile["data"] = data
card = models.CardModel.objects.get(
nodegroup=tile["nodegroup_id"])
tile["card_name"] = card.name
tile["cardinality"] = node.nodegroup.cardinality
tile[card.name] = tile["data"]
lookup[tile["tileid"]] = tile
if compact:
for key, value in feature_collections.items():
compacted_data[key] = value[
"datatype"].transform_export_values(value)
compacted_data["has_geometry"] = has_geometry
return compacted_data
resource_json = self.create_resource_json(tiles)
return flatten_dict(resource_json)
def flatten_tiles(self, tiles, datatype_factory, compact=True):
compacted_data = {}
lookup = {}
feature_collections = {}
# first let's normalize tile.data to use labels instead of node ids
for tile in tiles:
data = {}
for nodeid, value in tile["data"].items():
node = self.get_node(nodeid)
if node.exportable:
datatype = datatype_factory.get_instance(node.datatype)
# node_value = datatype.transform_export_values(tile['data'][str(node.nodeid)])
node_value = datatype.get_display_value(tile, node)
label = node.fieldname
if compact:
if node.datatype == "geojson-feature-collection":
node_value = tile["data"][str(node.nodeid)]
for feature_index, feature in enumerate(
node_value["features"]):
feature["geometry"][
"coordinates"] = self.set_precision(
feature["geometry"]["coordinates"],
self.precision)
try:
feature_collections[label][
"features"].append(feature)
except:
feature_collections[label] = {
"datatype": datatype,
"features": [feature]
}
else:
try:
compacted_data[label] += ", " + str(node_value)
except:
compacted_data[label] = str(node_value)
else:
data[label] = str(node_value)
if not compact:
# add on the cardinality and card_names to the tile for use later on
tile["data"] = data
card = models.CardModel.objects.get(
nodegroup=tile["nodegroup_id"])
tile["card_name"] = card.name
tile["cardinality"] = node.nodegroup.cardinality
tile[card.name] = tile["data"]
lookup[tile["tileid"]] = tile
if compact:
for key, value in feature_collections.items():
compacted_data[key] = value[
"datatype"].transform_export_values(value)
return compacted_data
# print(JSONSerializer().serialize(tiles, indent=4))
resource_json = {}
# ret = []
# aggregate tiles into single resource instance objects rolling up tile data in the process
# print out "ret" to understand the intermediate structure
for tile in tiles:
if tile["parenttile_id"] is not None:
parentTile = lookup[str(tile["parenttile_id"])]
if tile["cardinality"] == "n":
try:
parentTile[parentTile["card_name"]][
tile["card_name"]].append(tile[tile["card_name"]])
except KeyError:
parentTile[parentTile["card_name"]][
tile["card_name"]] = [tile[tile["card_name"]]]
else:
parentTile[parentTile["card_name"]][
tile["card_name"]] = tile[tile["card_name"]]
else:
# print the following out to understand the intermediate structure
# ret.append(tile)
# ret.append({tile['card_name']: tile[tile['card_name']]})
if tile["cardinality"] == "n":
try:
resource_json[tile["card_name"]].append(
tile[tile["card_name"]])
except KeyError:
resource_json[tile["card_name"]] = [
tile[tile["card_name"]]
]
else:
resource_json[tile["card_name"]] = tile[tile["card_name"]]
return flatten_dict(resource_json)