From 607cae284f33ebb6bc224083c72cc0670f160cc1 Mon Sep 17 00:00:00 2001 From: Aimee Barciauskas Date: Thu, 9 Nov 2023 09:59:01 -0800 Subject: [PATCH] Add file and test to check failure --- pyproject.toml | 1 - tests/fixtures/3B42_Daily.19980101.7.nc4 | Bin 0 -> 2501559 bytes tests/test_app.py | 8 ++++---- titiler/xarray/reader.py | 18 +++++++++++++----- 4 files changed, 17 insertions(+), 10 deletions(-) create mode 100644 tests/fixtures/3B42_Daily.19980101.7.nc4 diff --git a/pyproject.toml b/pyproject.toml index fa36bb6..eaab1f2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -26,7 +26,6 @@ classifiers = [ dynamic = ["version"] dependencies = [ "cftime", - "dask", "h5netcdf", "xarray", "rioxarray", diff --git a/tests/fixtures/3B42_Daily.19980101.7.nc4 b/tests/fixtures/3B42_Daily.19980101.7.nc4 new file mode 100644 index 0000000000000000000000000000000000000000..6b3e07ccfc0b3fb70e3987d918ec3afd10657ee2 GIT binary patch literal 2501559 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An rioxarray.exceptions.InvalidDimensionOrder error is raised if the coordinates are not in the correct order time, y, and x. @@ -170,13 +169,21 @@ def arrange_coordinates(da: xarray.DataArray) -> xarray.DataArray: if "longitude" in da.dims: longitude_var_name = "longitude" da = da.rename({latitude_var_name: "y", longitude_var_name: "x"}) - da = da.transpose("time", "y", "x", missing_dims="ignore") + if da.dims != ["time", "y", "x"]: + da = da.transpose("time", "y", "x", missing_dims="ignore") + # if we're caching the data, we need to load the transposed data into memory rather than lazily loading it later. + # Trying to modify the data with rioxarray during the tile operation will result in an error: + # `cannot pickle io.BufferedReader`. This only happens when operating on a cached file, like NetCDF. + # if api_settings.enable_fsspec_cache and xr_engine == "h5netcdf": + # #da.load() + # pass return da def get_variable( ds: xarray.Dataset, variable: str, + xr_engine: str, time_slice: Optional[str] = None, drop_dim: Optional[str] = None, ) -> xarray.DataArray: @@ -187,7 +194,7 @@ def get_variable( if drop_dim: dim_to_drop, dim_val = drop_dim.split("=") da = da.sel({dim_to_drop: dim_val}).drop(dim_to_drop) - da = arrange_coordinates(da) + da = arrange_coordinates(da, xr_engine=xr_engine) if (da.x > 180).any(): # Adjust the longitude coordinates to the -180 to 180 range @@ -264,6 +271,7 @@ def __attrs_post_init__(self): self.input = get_variable( self.ds, self.variable, + xr_engine=xarray_engine(self.src_path), time_slice=self.time_slice, drop_dim=self.drop_dim, )