def _get_partition(self, i):
"""
The partition should look like ("var_name", int, int...), where the
number of ints matches the number of coordinate axes in the named
variable, and is between 0 and the number of chunks in each axis. For
an array, as opposed to a dataset, omit the variable name.
"""
return get_partition(self.url, self.headers, self._source_id,
self.container, i)
def _load_metadata(self):
"""
Load the data from remote.
Tricky thing here is that intake uses the code ´get_partition´ triggering
the read or _get_partition from the local driver on the server side (see ../containers/AccLat.py).
This returns a ´single object´, making it not so easy to return the data stored in the
different files in a straightforward way. Therefor I decided to the serverside plugin
driver return a tuple of datasets, stored in attributes,
allowing for the different format return functions. The read or get_partition functions
then return the easiest format - namely the latticejson format.
"""
if self._json is None:
self._tracy, self._json, self._madx, self._lte, self.twiss = get_partition(
self.url, self.headers, self._source_id, self.container, None
)
return self._schema