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| # The MIT License (MIT) | ||
| # Copyright (c) 2024 by the xcube development team and contributors | ||
| # | ||
| # Permission is hereby granted, free of charge, to any person obtaining a copy | ||
| # of this software and associated documentation files (the "Software"), to deal | ||
| # in the Software without restriction, including without limitation the rights | ||
| # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
| # copies of the Software, and to permit persons to whom the Software is | ||
| # furnished to do so, subject to the following conditions: | ||
| # | ||
| # The above copyright notice and this permission notice shall be included in all | ||
| # copies or substantial portions of the Software. | ||
| # | ||
| # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
| # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
| # FITNESS FOR A PARTICULAR PURPOSE AND NON INFRINGEMENT. IN NO EVENT SHALL THE | ||
| # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
| # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
| # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
| # SOFTWARE. | ||
|
|
||
| import rioxarray | ||
| import xarray as xr | ||
| from xcube.util.jsonschema import ( | ||
| JsonArraySchema, | ||
| JsonBooleanSchema, | ||
| JsonNumberSchema, | ||
| JsonObjectSchema, | ||
| JsonStringSchema, | ||
| ) | ||
| from xcube.core.store import DataOpener | ||
| from xcube.core.store.fs.impl.dataset import GEOTIFF_OPEN_DATA_PARAMS_SCHEMA | ||
|
|
||
|
|
||
| class HttpsNetcdfDataOpener(DataOpener): | ||
| """Implementation of the data opener supporting | ||
| the netcdf format via the https protocol. | ||
| """ | ||
|
|
||
| def get_open_data_params_schema(self, data_id: str = None) -> JsonObjectSchema: | ||
| open_parms = dict( | ||
| tile_size=JsonArraySchema( | ||
| items=( | ||
| JsonNumberSchema(minimum=256, default=512), | ||
| JsonNumberSchema(minimum=256, default=512), | ||
| ), | ||
| title="Tile size [y, x] for chunking", | ||
| default=[512, 512], | ||
| ), | ||
| ) | ||
| return JsonObjectSchema( | ||
| properties=dict(**open_parms), | ||
| required=[], | ||
| additional_properties=False, | ||
| ) | ||
|
|
||
| def open_data(self, data_id: str, **open_params) -> xr.Dataset: | ||
| stac_schema = self.get_open_data_params_schema() | ||
| stac_schema.validate_instance(open_params) | ||
| tile_size = open_params.get("tile_size", (512, 512)) | ||
| return rioxarray.open_rasterio(data_id, chunks=dict(zip(("x", "y"), tile_size))) | ||
|
|
||
|
|
||
| class HttpsTiffDataOpener(DataOpener): | ||
| """Implementation of the data opener supporting | ||
| the tiff and geotiff format via the https protocol. | ||
| """ | ||
|
|
||
| def get_open_data_params_schema(self, data_id: str = None) -> JsonObjectSchema: | ||
| return GEOTIFF_OPEN_DATA_PARAMS_SCHEMA | ||
|
|
||
| def open_data(self, data_id: str, **open_params) -> xr.Dataset: | ||
| stac_schema = self.get_open_data_params_schema() | ||
| stac_schema.validate_instance(open_params) | ||
| tile_size = open_params.get("tile_size", (512, 512)) | ||
| overview_level = open_params.get("overview_level", None) | ||
| return rioxarray.open_rasterio( | ||
| data_id, | ||
| overview_level=overview_level, | ||
| chunks=dict(zip(("x", "y"), tile_size)), | ||
| ) | ||
|
|
||
|
|
||
| class HttpsZarrDataOpener(DataOpener): | ||
| """Implementation of the data opener supporting | ||
| the zarr format via the https protocol. | ||
| """ | ||
|
|
||
| def get_open_data_params_schema(self, data_id: str = None) -> JsonObjectSchema: | ||
| open_parms = dict( | ||
| group=JsonStringSchema( | ||
| description="Group path." " (a.k.a. path in zarr terminology.).", | ||
| min_length=1, | ||
| ), | ||
| chunks=JsonObjectSchema( | ||
| description="Optional chunk sizes along each dimension." | ||
| ' Chunk size values may be None, "auto"' | ||
| " or an integer value.", | ||
| examples=[ | ||
| {"time": None, "lat": "auto", "lon": 90}, | ||
| {"time": 1, "y": 512, "x": 512}, | ||
| ], | ||
| additional_properties=True, | ||
| ), | ||
| decode_cf=JsonBooleanSchema( | ||
| description="Whether to decode these variables," | ||
| " assuming they were saved according to" | ||
| " CF conventions.", | ||
| default=True, | ||
| ), | ||
| mask_and_scale=JsonBooleanSchema( | ||
| description="If True, replace array values equal" | ||
| ' to attribute "_FillValue" with NaN. ' | ||
| ' Use "scale_factor" and "add_offset"' | ||
| " attributes to compute actual values.", | ||
| default=True, | ||
| ), | ||
| decode_times=JsonBooleanSchema( | ||
| description="If True, decode times encoded in the" | ||
| " standard NetCDF datetime format " | ||
| "into datetime objects. Otherwise," | ||
| " leave them encoded as numbers.", | ||
| default=True, | ||
| ), | ||
| decode_coords=JsonBooleanSchema( | ||
| description='If True, decode the "coordinates"' | ||
| " attribute to identify coordinates in " | ||
| "the resulting dataset.", | ||
| default=True, | ||
| ), | ||
| drop_variables=JsonArraySchema( | ||
| items=JsonStringSchema(min_length=1), | ||
| ), | ||
| ) | ||
| return JsonObjectSchema( | ||
| properties=dict(**open_parms), | ||
| required=[], | ||
| additional_properties=False, | ||
| ) | ||
|
|
||
| def open_data(self, data_id: str, **open_params) -> xr.Dataset: | ||
| stac_schema = self.get_open_data_params_schema() | ||
| stac_schema.validate_instance(open_params) | ||
| return xr.open_zarr(data_id, **open_params) |
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