Demonstrate a simple end-to-end usage example of tiledb-netcdf.

tiledb_netcdf_end2end.py

import os
import iris
import tiledb
import tiledb_netcdf

netcdf_path = "/path/to/my/nc-files"
base_nc_name = 'file1.nc'
append_nc_names = ['file2.nc', 'file3.nc', 'file4.nc']
append_files = [os.path.join(netcdf_path, name) for name in append_nc_names]

# 1a: create a custom data model.
data_model = tiledb_netcdf.NCDataModel(os.path.join(netcdf_path, base_nc_name))
# 1b: infer the types of variables.
data_model.populate()

# 2: create the TileDB array
writer = tiledb_netcdf.Writer(data_model,
                              array_filepath="/path/to/tiledb/array",
                              array_name="my_tiledb_array",
                              unlimited_dims="time")
writer.create_domains()

# 3: append the contents of extra NetCDF files
writer.append(append_files, unlimited_dims="time")

# 4: open the TileDB array as an Iris cube to interact with it further.
reader = tiledb_netcdf.Reader("my_tiledb_array", array_filepath="/path/to/tiledb/array")
cube = reader.to_iris()