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Add Xarray sub-package #1013
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Add Xarray sub-package #1013
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if "x" not in da.dims and "y" not in da.dims: | ||
try: | ||
latitude_var_name = next( | ||
x for x in ["lat", "latitude", "LAT", "LATITUDE", "Lat"] if x in da.dims |
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do we need to support other variable name?
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I'd say no. Dataset with other names will likely not be regular lat/lon grids and fail in other ways.
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@define(kw_only=True) | ||
class TilerFactory(BaseTilerFactory): |
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By sub-classing titiler.core.factory.TilerFactory we avoid re-writing code
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But do we need to redefine all of the class attributes (e.g. stats_dependency
) that are already defined in titiler.core.factory.TilerFactory
?
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# remove some attribute from init | ||
img_preview_dependency: Type[DefaultDependency] = field(init=False) | ||
add_preview: bool = field(init=False) |
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we remove those 2 attributes because we don't support /preview
endpoints
return Response(content, media_type=media_type) | ||
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# custom /statistics endpoints (remove /statistics - GET) | ||
def statistics(self): |
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☝️ IMO having a full dataset /statistics in a bit dangerous (as for the /preview endpoints) which is why we support only geojson statistics
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Thanks for all your work here, @vincentsarago!
This is a very opinionated take, but I think titiler-xarray would be best off with two separate routes, each with its own set of optional dependencies. The first route would be zarr
, which would open Zarr and virtual Zarr datasets using xarray.open_zarr
. The second route would be md
, which would opening any dataset readable by xarray.open_dataset
.
The primary reason I think we should do this is that it would enable us to incentivize virtualizing datasets into zarr, which would lead to much faster tile generation. We could do this by:
- Having all query parameters in the zarr route only relevant for
open_zarr
, simplifying API usage. - Automatically detect virtual datasets, removing the need for the
reference
parameter. - Lightening the image size for titiler-xarray deployments only using zarr because other readers would not be installed (and eventually obstore and/or icechunk could be used instead of the fsspec dependencies)
This would also simplify non-zarr usage for the following reasons:
- Zarr specific parameters (e.g., group, consolidated) would not be included in endpoints in the
md
route - We could use xarray's automatic backend detection rather than writing our own in
titiler/xarray/io.py
I also think isolating Zarr usage would simplify the eventual support of the GeoZarr and multiscales specifications.
Thanks @maxrjones 🙏 I see what you're saying. The goal of having a single Reader was to handle all the non-COG dataset so splitting in to two separate reader/set of endpoints would not meat the goal.
We can absolutely use
If I follow your think, it seems we would need a What if we make the dependencies optional? I'm going to open a PR on top of this one to try some things |
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This is great! The concept of creating pyramids in a zarr store was new to me, then I googled around and found @maxrjones's notebook 😆.
It is great to have the io
methods standardized here so we can import them in titiler.cmr
and other applications.
Co-authored-by: Henry Rodman <[email protected]>
* use xarray.open_zarr and make aiohttp and s3fs optional * add support for references * tests prefixed protocol * use tmp_dir for reference * add parquet support * remove kerchunk support
…o feature/add-xarray-package
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"""return available variables.""" | ||
with self.dataset_opener(src_path, **io_params.as_dict()) as ds: | ||
return list(ds.data_vars) # type: ignore |
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easier to put this into an extension than to have a list_variable
in a Class Method (because in the class method the dataset_opener
is customizable
... | ||
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def xarray_open_dataset( # noqa: C901 |
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I've moved everything within the xarray_open_dataset
function to ease the customization and also because I've made som dependencies optional
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so this is a fine default option for some applications, but it is easier to customize now because all the user has to do is write a new dataset_opener
- nice!
variable: str = attr.ib() | ||
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# xarray.Dataset options | ||
opener: Callable[..., xarray.Dataset] = attr.ib(default=xarray_open_dataset) |
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For now the opener
MUST be a callable that take 4 arguments:
- src_path: str
- group: Any
- decode_times: bool
cache_client
we might change this in the future
* remove cache layer * Update src/titiler/xarray/README.md Co-authored-by: Aimee Barciauskas <[email protected]> * add tile example --------- Co-authored-by: Aimee Barciauskas <[email protected]>
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This all looks great, thanks for all of your work moving xarray support further upstream! I left a few small comments but nothing blocking.
... | ||
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def xarray_open_dataset( # noqa: C901 |
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so this is a fine default option for some applications, but it is easier to customize now because all the user has to do is write a new dataset_opener
- nice!
description="RasterIO resampling algorithm. Defaults to `nearest`.", | ||
), | ||
] = None |
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Does the default behavior get set somewhere else or do we need to set it to something besides None
here?
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it defaults to what rio-tiler has (nearest
)
dataset_dependency: Type[DefaultDependency] = DatasetParams | ||
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# Tile/Tilejson/WMTS Dependencies (Not used in titiler.xarray) | ||
tile_dependency: Type[DefaultDependency] = DefaultDependency |
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should this default to TileParams
instead of DefaultDependency
?
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no because there is not buffer nor padding for the XarrayReader's tile method
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@define(kw_only=True) | ||
class TilerFactory(BaseTilerFactory): |
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But do we need to redefine all of the class attributes (e.g. stats_dependency
) that are already defined in titiler.core.factory.TilerFactory
?
@hrodmn for most of them we don't have to |
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Reviewed the io logic, please see comments below. Nothing blocking.
if "x" not in da.dims and "y" not in da.dims: | ||
try: | ||
latitude_var_name = next( | ||
x for x in ["lat", "latitude", "LAT", "LATITUDE", "Lat"] if x in da.dims |
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I'd say no. Dataset with other names will likely not be regular lat/lon grids and fail in other ways.
Co-authored-by: Jonas <[email protected]>
Co-authored-by: Jonas <[email protected]>
Co-authored-by: Jonas <[email protected]>
…o feature/add-xarray-package
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I'm a bit confused by the pyramid and reference components of the code. Is the current plan to include those in this PR or save them for later development? fwiw I would suggest the latter since there's been movement in GeoZarr multiscales and virtualizarr/icechunk since the original extension was developed
"HDF", | ||
] | ||
classifiers = [ | ||
"Intended Audience :: Information Technology", |
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"Intended Audience :: Information Technology", | |
"Development Status :: 4 - Beta", | |
"Intended Audience :: Information Technology", |
I think it would be useful to denote that this is less mature than the other titiler components in the project metadata
overtake #1007
ref: developmentseed/titiler-xarray#68
To Do