add xarray Dataset Reader

rio_tiler/io/xarray.py

@@ -2,8 +2,9 @@
 
 from __future__ import annotations
 
+import contextlib
 import warnings
-from typing import Any, Dict, List, Optional
+from typing import Any, Callable, Dict, List, Optional
 
 import attr
 import numpy
@@ -43,8 +44,8 @@
 
 
 @attr.s
-class XarrayReader(BaseReader):
-    """Xarray Reader.
+class DataArrayReader(BaseReader):
+    """Xarray DataArray Reader.
 
     Attributes:
         dataset (xarray.DataArray): Xarray DataArray dataset.
@@ -567,3 +568,237 @@ def feature(
         img.array.mask = numpy.where(~cutline_mask, img.array.mask, True)
 
         return img
+
+
+@attr.s
+class DatasetReader(BaseReader):
+    """Xarray Reader.
+
+    Attributes:
+        input (str): dataset path.
+        dataset (xarray.Dataset): Xarray dataset.
+        tms (morecantile.TileMatrixSet, optional): TileMatrixSet grid definition. Defaults to `WebMercatorQuad`.
+        opener (Callable): Xarray dataset opener. Defaults to `xarray.open_dataset`.
+        opener_options (dict): Options to forward to the opener callable.
+
+    Examples:
+        >>> with DatasetReader(
+                "s3://mur-sst/zarr-v1",
+                opener_options={"engine": "zarr"}
+            ) as src:
+                print(src)
+                print(src.variables)
+                img = src.tile(x, y, z, tmax)
+
+    """
+
+    input: str = attr.ib()
+    dataset: xarray.Dataset = attr.ib(default=None)
+
+    tms: TileMatrixSet = attr.ib(default=WEB_MERCATOR_TMS)
+
+    opener: Callable[..., xarray.Dataset] = attr.ib(default=xarray.open_dataset)
+    opener_options: Dict = attr.ib(factory=dict)
+
+    _ctx_stack: contextlib.ExitStack = attr.ib(init=False, factory=contextlib.ExitStack)
+
+    def __attrs_post_init__(self):
+        """Set bounds and CRS."""
+        assert xarray is not None, "xarray must be installed to use XarrayReader"
+        assert rioxarray is not None, "rioxarray must be installed to use XarrayReader"
+
+        if not self.dataset:
+            self.dataset = self._ctx_stack.enter_context(
+                self.opener(self.input, **self.opener_options)
+            )
+
+        self.bounds = None
+        self.crs = None
+
+    def close(self):
+        """Close xarray dataset."""
+        self._ctx_stack.close()
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        """Support using with Context Managers."""
+        self.close()
+
+    @property
+    def variables(self) -> List[str]:
+        """Return dataset variable names"""
+        return list(self.dataset.data_vars)
+
+    def _arrange_dims(self, da: xarray.DataArray) -> xarray.DataArray:
+        """Arrange coordinates and time dimensions.
+
+        An rioxarray.exceptions.InvalidDimensionOrder error is raised if the coordinates are not in the correct order time, y, and x.
+        See: https://github.com/corteva/rioxarray/discussions/674
+
+        We conform to using x and y as the spatial dimension names..
+
+        """
+        if "x" not in da.dims and "y" not in da.dims:
+            try:
+                latitude_var_name = next(
+                    name
+                    for name in ["lat", "latitude", "LAT", "LATITUDE", "Lat"]
+                    if name in da.dims
+                )
+                longitude_var_name = next(
+                    name
+                    for name in ["lon", "longitude", "LON", "LONGITUDE", "Lon"]
+                    if name in da.dims
+                )
+            except StopIteration as e:
+                raise ValueError(f"Couldn't find X/Y dimensions in {da.dims}") from e
+
+            da = da.rename({latitude_var_name: "y", longitude_var_name: "x"})
+
+        if "TIME" in da.dims:
+            da = da.rename({"TIME": "time"})
+
+        if extra_dims := [d for d in da.dims if d not in ["x", "y"]]:
+            da = da.transpose(*extra_dims, "y", "x")
+        else:
+            da = da.transpose("y", "x")
+
+        # If min/max values are stored in `valid_range` we add them in `valid_min/valid_max`
+        vmin, vmax = da.attrs.get("valid_min"), da.attrs.get("valid_max")
+        if "valid_range" in da.attrs and not (vmin is not None and vmax is not None):
+            valid_range = da.attrs.get("valid_range")
+            da.attrs.update({"valid_min": valid_range[0], "valid_max": valid_range[1]})
+
+        return da
+
+    def get_variable(
+        self, variable: str, drop_dim: Optional[str] = None
+    ) -> xarray.DataArray:
+        """Get DataArray from xarray Dataset."""
+        da = self.dataset[variable]
+
+        if drop_dim:
+            dim_to_drop, dim_val = drop_dim.split("=")
+            da = da.sel({dim_to_drop: dim_val}).drop_vars(dim_to_drop)
+
+        da = self._arrange_dims(da)
+
+        # Make sure we have a valid CRS
+        crs = da.rio.crs or "epsg:4326"
+        da = da.rio.write_crs(crs)
+
+        if crs == "epsg:4326" and (da.x > 180).any():
+            # Adjust the longitude coordinates to the -180 to 180 range
+            da = da.assign_coords(x=(da.x + 180) % 360 - 180)
+
+            # Sort the dataset by the updated longitude coordinates
+            da = da.sortby(da.x)
+
+        assert len(da.dims) in [
+            2,
+            3,
+        ], "rio_tiler.io.xarray.DatasetReader can only work with 2D or 3D DataArray"
+
+        return da
+
+    def spatial_info(self, variable: str, drop_dim: Optional[str] = None):
+        """Return xarray.DataArray info."""
+        da = DataArrayReader(
+            self.get_variable(variable, drop_dim=drop_dim),
+        )
+        return {
+            "crs": da.crs,
+            "bounds": da.bounds,
+            "minzoom": da.minzoom,
+            "maxzoom": da.maxzoom,
+        }
+
+    def get_geographic_bounds(  # type: ignore
+        self, crs: CRS, variable: str, drop_dim: Optional[str] = None
+    ) -> BBox:
+        """Return Geographic Bounds for a Geographic CRS."""
+        return DataArrayReader(
+            self.get_variable(variable, drop_dim=drop_dim),
+        ).get_geographic_bounds(crs)
+
+    def info(self, variable: str, drop_dim: Optional[str] = None) -> Info:  # type: ignore
+        """Return xarray.DataArray info."""
+        return DataArrayReader(
+            self.get_variable(variable, drop_dim=drop_dim),
+        ).info()
+
+    def statistics(  # type: ignore
+        self,
+        *args: Any,
+        variable: str,
+        drop_dim: Optional[str] = None,
+        **kwargs: Any,
+    ) -> Dict[str, BandStatistics]:
+        """Return statistics from a dataset."""
+        return DataArrayReader(
+            self.get_variable(variable, drop_dim=drop_dim),
+        ).statistics(*args, **kwargs)
+
+    def tile(  # type: ignore
+        self,
+        *args: Any,
+        variable: str,
+        drop_dim: Optional[str] = None,
+        **kwargs: Any,
+    ) -> ImageData:
+        """Read a Web Map tile from a dataset."""
+        return DataArrayReader(
+            self.get_variable(variable, drop_dim=drop_dim),
+            tms=self.tms,
+        ).tile(*args, **kwargs)
+
+    def part(  # type: ignore
+        self,
+        *args: Any,
+        variable: str,
+        drop_dim: Optional[str] = None,
+        **kwargs: Any,
+    ) -> ImageData:
+        """Read part of a dataset."""
+        return DataArrayReader(self.get_variable(variable, drop_dim=drop_dim)).part(
+            *args, **kwargs
+        )
+
+    def preview(  # type: ignore
+        self,
+        *args: Any,
+        variable: str,
+        drop_dim: Optional[str] = None,
+        **kwargs: Any,
+    ) -> ImageData:
+        """Return a preview of a dataset."""
+        return DataArrayReader(self.get_variable(variable, drop_dim=drop_dim)).preview(
+            *args, **kwargs
+        )
+
+    def point(  # type: ignore
+        self,
+        *args: Any,
+        variable: str,
+        drop_dim: Optional[str] = None,
+        **kwargs: Any,
+    ) -> PointData:
+        """Read a pixel value from a dataset."""
+        return DataArrayReader(self.get_variable(variable, drop_dim=drop_dim)).point(
+            *args, **kwargs
+        )
+
+    def feature(  # type: ignore
+        self,
+        *args: Any,
+        variable: str,
+        drop_dim: Optional[str] = None,
+        **kwargs: Any,
+    ) -> ImageData:
+        """Read part of a dataset defined by a geojson feature."""
+        return DataArrayReader(self.get_variable(variable, drop_dim=drop_dim)).feature(
+            *args, **kwargs
+        )
+
+
+# Compat
+XarrayReader = DataArrayReader