sub_entry_name1/sub_entry_name2/...Where each sub_entry_nameN is the name of a subentry that is created (of needed). Each sub_entry_name can contain a number of macros that are are based on the newly created entry.
${filename}: the name of the file or URL ${fileextension}: the file extension ${name}: the name of the entry ${user}:the user id The following are based on the entries from/to date and the create date ${create_date},${from_date},${to_date}:full formatted date ${create_day},${from_day},${to_day}:day of month ${create_week},${from_week},${to_week}:week of month ${create_weekofyear},${from_weekofyear},${to_weekofyear}:week of year ${create_month},${from_month},${to_month}:numeric month ${create_year},${from_year},${to_year}:year ${create_monthname},${from_monthname},${to_monthname}:month nameYou can also specify the entry type of the subentry with the syntax:
sub_entry_name1:type=some_type/sub_entry_name2/...For example, if you wanted to make use of RAMADDA's point collection types you could specify the path to be
${from_monthname} ${to_year}:type=type_point_collectionThis would result in a Collection entry with name derived from the month and year of the data of the newly created entry. So, if your data file is from June 2022 then you would have, e.g.:
June 2022/data file1.csv June 2022/data file2.csv ...A nested example using the collection of collections entry type (example here) would be:
Collection:type=type_point_collection_collection/${from_monthname} ${to_year}:type=type_point_collectionThis would result in a Collection of Collections as the top-level entry called "Collection". Under that entry is a Collection entry with name derived from the month and year of the data of the newly created entry.