def new_table(spj, element):
# Create field infos
formats = []
info_dict = {}
for eColumn in element.findall("Column"):
# name
try:
name = eColumn.attrib["name"]
except KeyError:
logger.warn("Could not get column name; using default name instead.")
name = utils.unique_names(["col"], info_dict.keys())
# format
try:
format = eColumn.attrib["format"]
except KeyError:
logger.warn("Could not get column type, using default type instead.")
format = "f4"
formats.append(format)
# create info with attributes
info = Table.Info()
for eAttribute in eColumn.findall("Attribute"):
key = eAttribute.attrib["key"]
value = eAttribute.text
if value is not None:
info.set_value(key, value)
info_dict[name] = info
# create table with given format and infos, but w/o any rows
a = numpy.zeros((0,), {"names": info_dict.keys(), "formats": formats})
tbl = Table(a, info_dict)
# node info
for eItem in element.findall("NodeInfo/Item"):
key = eItem.attrib["key"]
value = eItem.text
if value is not None:
tbl.node_info.set_value(key, value)
for eItem in element.findall("NodeInfo/MetaItem"):
key = eItem.attrib["key"]
value = eItem.text
if value is not None:
tbl.node_info.metadata[key] = value
# table key is essential
try:
key = element.attrib["key"]
except KeyError:
logger.warn("Could not get table key. Using generic key instead.")
key = pdict.unique_key(spj.datasets, "dataset")
tbl.key = key
# Right now, the Table is still empty. By setting this callback
# for the _import attribute, the dataset is loaded from the hard
# disk on the next access.
tbl._import = DatasetImporter(spj.get_filename(), tbl.key)
return tbl
