openEO Python Client v0.16.0

Added

• Full support for user-uploaded files (/files endpoints) (#377)
• Initial, experimental "local processing" feature to use openEO Python Client Library functionality on local GeoTIFF/NetCDF files and also do the processing locally using the openeo_processes_dask package (#338)
• Add BatchJob.get_results_metadata_url().

Changed

• Connection.list_files() returns a list of UserFile objects instead of a list of metadata dictionaries. Use UserFile.metadata to get the original dictionary. (#377)
• DataCube.aggregate_spatial() returns a VectorCube now, instead of a DataCube (#386). The (experimental) fit_class_random_forest() and fit_regr_random_forest() methods moved accordingly to the VectorCube class.
• Improved documentation on openeo.processes and ProcessBuilder (#390).
• DataCube.create_job() and Connection.create_job() now require keyword arguments for all but the first argument for clarity. (#412).
• Pass minimum log level to backend when retrieving batch job and secondary service logs. (Open-EO/openeo-api#485, Open-EO/openeo-python-driver#170)

Removed

• Dropped support for pre-1.0.0 versions of the openEO API (#134):
  • Remove ImageCollectionClient and related helpers (now unused leftovers from version 0.4.0 and earlier). (Also #100)
  • Drop support for pre-1.0.0 job result metadata
  • Require at least version 1.0.0 of the openEO API for a back-end in Connection and all its methods.

Fixed

• Reinstated old behavior of authentication related user files (e.g. refresh token store) on Windows: when PrivateJsonFile may be readable by others, just log a message instead of raising PermissionError (387)
• VectorCube.create_job() and MlModel.create_job() are properly aligned with DataCube.create_job() regarding setting job title, description, etc. (#412).
• More robust handling of billing currency/plans in capabilities (#414)
• Avoid blindly adding a save_result node from DataCube.execute_batch() when there is already one (#401)