def add_concepticon_names(
dataset: pycldf.Wordlist,
column_name: str = "Concepticon_Gloss",
):
# Create a concepticonReference column
try:
dataset.add_columns("ParameterTable", column_name)
dataset.write_metadata()
except ValueError:
pass
write_back = []
for row in cli.tq(
dataset["ParameterTable"],
task="Write concepts with concepticon names to dataset",
):
try:
row[column_name] = concepticon.api.conceptsets[row[
dataset.column_names.parameters.concepticonReference]].gloss
except KeyError:
pass
write_back.append(row)
dataset.write(ParameterTable=write_back)
def reshape_dataset(dataset: pycldf.Wordlist,
add_column: bool = True) -> pycldf.Dataset:
# check for existing cognateset table
if dataset.column_names.cognatesets is None:
# Create a Cognateset Table
dataset.add_component("CognatesetTable")
# add a concept column to the cognateset table
if add_column:
if dataset.column_names.cognatesets.parameterReference is None:
dataset.add_columns("CognatesetTable", "Core_Concept_ID")
c = dataset["CognatesetTable"].tableSchema.columns[-1]
c.datatype = dataset["ParameterTable", "ID"].datatype
c.propertyUrl = URITemplate(
"http://cldf.clld.org/v1.0/terms.rdf#parameterReference")
fname = dataset.write_metadata()
# Reload dataset with new column definitions
dataset = pycldf.Wordlist.from_metadata(fname)
return dataset