From 13351bb962ee5f107c2a502061e52a9e55e8e93b Mon Sep 17 00:00:00 2001 From: vincentsarago Date: Tue, 29 Oct 2024 22:17:36 +0100 Subject: [PATCH 1/5] sketch --- .github/workflows/ci.yml | 5 + .github/workflows/deploy_mkdocs.yml | 2 +- README.md | 5 +- scripts/publish | 1 + src/titiler/xarray/README.md | 46 +++ src/titiler/xarray/pyproject.toml | 70 ++++ src/titiler/xarray/tests/conftest.py | 1 + src/titiler/xarray/tests/test_dependencies.py | 51 +++ src/titiler/xarray/tests/test_io_tools.py | 105 +++++ src/titiler/xarray/titiler/xarray/__init__.py | 3 + .../xarray/titiler/xarray/dependencies.py | 211 ++++++++++ src/titiler/xarray/titiler/xarray/factory.py | 364 ++++++++++++++++++ src/titiler/xarray/titiler/xarray/io.py | 306 +++++++++++++++ src/titiler/xarray/titiler/xarray/main.py | 30 ++ src/titiler/xarray/titiler/xarray/py.typed | 0 15 files changed, 1198 insertions(+), 2 deletions(-) create mode 100644 src/titiler/xarray/README.md create mode 100644 src/titiler/xarray/pyproject.toml create mode 100644 src/titiler/xarray/tests/conftest.py create mode 100644 src/titiler/xarray/tests/test_dependencies.py create mode 100644 src/titiler/xarray/tests/test_io_tools.py create mode 100644 src/titiler/xarray/titiler/xarray/__init__.py create mode 100644 src/titiler/xarray/titiler/xarray/dependencies.py create mode 100644 src/titiler/xarray/titiler/xarray/factory.py create mode 100644 src/titiler/xarray/titiler/xarray/io.py create mode 100644 src/titiler/xarray/titiler/xarray/main.py create mode 100644 src/titiler/xarray/titiler/xarray/py.typed diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 07353d32c..bcd4456e2 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -49,6 +49,11 @@ jobs: python -m pip install -e src/titiler/extensions["test,cogeo,stac"] python -m pytest src/titiler/extensions --cov=titiler.extensions --cov-report=xml --cov-append --cov-report=term-missing + - name: Test titiler.xarray + run: | + python -m pip install -e src/titiler/xarray["test"] + python -m pytest src/titiler/xarray --cov=titiler.xarray --cov-report=xml --cov-append --cov-report=term-missing + - name: Test titiler.mosaic run: | python -m pip install -e src/titiler/mosaic["test"] diff --git a/.github/workflows/deploy_mkdocs.yml b/.github/workflows/deploy_mkdocs.yml index 31536e303..a3a2e3db0 100644 --- a/.github/workflows/deploy_mkdocs.yml +++ b/.github/workflows/deploy_mkdocs.yml @@ -29,7 +29,7 @@ jobs: - name: Install dependencies run: | python -m pip install --upgrade pip - python -m pip install src/titiler/core src/titiler/extensions["cogeo,stac"] src/titiler/mosaic src/titiler/application + python -m pip install src/titiler/core src/titiler/extensions["cogeo,stac"] src/titiler/xarray src/titiler/mosaic src/titiler/application python -m pip install -r requirements/requirements-docs.txt diff --git a/README.md b/README.md index c38adc3d9..5dc5daadc 100644 --- a/README.md +++ b/README.md @@ -55,6 +55,7 @@ Starting with version `0.3.0`, the `TiTiler` python module has been split into a | Package | Version | Description | ------- | ------- |------------- [**titiler.core**](https://github.com/developmentseed/titiler/tree/main/src/titiler/core) | [![titiler.core](https://img.shields.io/pypi/v/titiler.core?color=%2334D058&label=pypi)](https://pypi.org/project/titiler.core) | The `Core` package contains libraries to help create a dynamic tiler for COG and STAC +[**titiler.xarray**](https://github.com/developmentseed/titiler/tree/main/src/titiler/xarray) | [![titiler.xarray](https://img.shields.io/pypi/v/titiler.xarray?color=%2334D058&label=pypi)](https://pypi.org/project/titiler.xarray) | The `xarray` package contains libraries to help create a dynamic tiler for Zarr/NetCDF datasets [**titiler.extensions**](https://github.com/developmentseed/titiler/tree/main/src/titiler/extensions) | [![titiler.extensions](https://img.shields.io/pypi/v/titiler.extensions?color=%2334D058&label=pypi)](https://pypi.org/project/titiler.extensions) | TiTiler's extensions package. Contains extensions for Tiler Factories. [**titiler.mosaic**](https://github.com/developmentseed/titiler/tree/main/src/titiler/mosaic) | [![titiler.mosaic](https://img.shields.io/pypi/v/titiler.mosaic?color=%2334D058&label=pypi)](https://pypi.org/project/titiler.mosaic) | The `mosaic` package contains libraries to help create a dynamic tiler for MosaicJSON (adds `cogeo-mosaic` requirement) [**titiler.application**](https://github.com/developmentseed/titiler/tree/main/src/titiler/application) | [![titiler.application](https://img.shields.io/pypi/v/titiler.application?color=%2334D058&label=pypi)](https://pypi.org/project/titiler.application) | TiTiler's `demo` package. Contains a FastAPI application with full support of COG, STAC and MosaicJSON @@ -71,6 +72,7 @@ python -m pip install -U pip python -m pip install titiler.{package} # e.g., # python -m pip install titiler.core +# python -m pip install titiler.xarray # python -m pip install titiler.extensions # python -m pip install titiler.mosaic # python -m pip install titiler.application (also installs core, extensions and mosaic) @@ -89,7 +91,7 @@ git clone https://github.com/developmentseed/titiler.git cd titiler python -m pip install -U pip -python -m pip install -e src/titiler/core -e src/titiler/extensions -e src/titiler/mosaic -e src/titiler/application +python -m pip install -e src/titiler/core -e src/titiler/xarray -e src/titiler/extensions -e src/titiler/mosaic -e src/titiler/application python -m pip install uvicorn uvicorn titiler.application.main:app --reload @@ -125,6 +127,7 @@ Some options can be set via environment variables, see: https://github.com/tiang src/titiler/ - titiler modules. ├── application/ - Titiler's `Application` package ├── extensions/ - Titiler's `Extensions` package + ├── xarray/ - Titiler's `Xarray` package ├── core/ - Titiler's `Core` package └── mosaic/ - Titiler's `Mosaic` package ``` diff --git a/scripts/publish b/scripts/publish index 7e548c6ec..1383cd75f 100755 --- a/scripts/publish +++ b/scripts/publish @@ -2,6 +2,7 @@ SUBPACKAGE_DIRS=( "core" + "xarray" "mosaic" "application" "extensions" diff --git a/src/titiler/xarray/README.md b/src/titiler/xarray/README.md new file mode 100644 index 000000000..143133544 --- /dev/null +++ b/src/titiler/xarray/README.md @@ -0,0 +1,46 @@ +## titiler.xarray + +Adds support for Xarray Dataset (NetCDF/Zarr) in Titiler. + +## Installation + +```bash +$ python -m pip install -U pip + +# From Pypi +$ python -m pip install titiler.xarray + +# Or from sources +$ git clone https://github.com/developmentseed/titiler.git +$ cd titiler && python -m pip install -e src/titiler/core -e src/titiler/xarray +``` + +## How To + +```python +from fastapi import FastAPI +from titiler.xarray.factory import TilerFactory + +# Create a FastAPI application +app = FastAPI( + description="A lightweight Cloud Optimized GeoTIFF tile server", +) + +# Create a set of MosaicJSON endpoints +endpoint = TilerFactory() + +# Register the Mosaic endpoints to the application +app.include_router(endpoint.router) +``` + +## Package structure + +``` +titiler/ + └── xarray/ + ├── tests/ - Tests suite + └── titiler/xarray/ - `xarray` namespace package + ├── dependencies.py - titiler-xarray dependencies + ├── io.py - titiler-xarray Readers + └── factory.py - endpoints factory +``` diff --git a/src/titiler/xarray/pyproject.toml b/src/titiler/xarray/pyproject.toml new file mode 100644 index 000000000..78747a86d --- /dev/null +++ b/src/titiler/xarray/pyproject.toml @@ -0,0 +1,70 @@ +[project] +name = "titiler.xarray" +description = "Xarray plugin for TiTiler." +readme = "README.md" +requires-python = ">=3.8" +authors = [ + {name = "Vincent Sarago", email = "vincent@developmentseed.com"}, + {name = "Aimee Barciauskas", email = "aimee@developmentseed.com"}, +] +license = {text = "MIT"} +keywords = [ + "TiTiler", + "Xarray", + "Zarr", + "NetCDF", + "HDF", +] +classifiers = [ + "Intended Audience :: Information Technology", + "Intended Audience :: Science/Research", + "License :: OSI Approved :: MIT License", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Topic :: Scientific/Engineering :: GIS", +] +dynamic = ["version"] +dependencies = [ + "titiler.core==0.19.0.dev", + "cftime", + "h5netcdf", + "xarray", + "rioxarray", + "zarr", + "fsspec", + "s3fs", + "aiohttp", + "pandas", + "httpx", +] + +[project.optional-dependencies] +test = [ + "pytest", + "pytest-cov", + "pytest-asyncio", + "httpx", +] + +[project.urls] +Homepage = "https://developmentseed.org/titiler/" +Documentation = "https://developmentseed.org/titiler/" +Issues = "https://github.com/developmentseed/titiler/issues" +Source = "https://github.com/developmentseed/titiler" +Changelog = "https://developmentseed.org/titiler/release-notes/" + +[build-system] +requires = ["pdm-pep517"] +build-backend = "pdm.pep517.api" + +[tool.pdm.version] +source = "file" +path = "titiler/xarray/__init__.py" + +[tool.pdm.build] +includes = ["titiler/xarray"] +excludes = ["tests/", "**/.mypy_cache", "**/.DS_Store"] diff --git a/src/titiler/xarray/tests/conftest.py b/src/titiler/xarray/tests/conftest.py new file mode 100644 index 000000000..dc4af91ae --- /dev/null +++ b/src/titiler/xarray/tests/conftest.py @@ -0,0 +1 @@ +"""titiler.xarray test configuration.""" diff --git a/src/titiler/xarray/tests/test_dependencies.py b/src/titiler/xarray/tests/test_dependencies.py new file mode 100644 index 000000000..6cb44d0a8 --- /dev/null +++ b/src/titiler/xarray/tests/test_dependencies.py @@ -0,0 +1,51 @@ +"""test dependencies.""" + + +from fastapi import Depends, FastAPI, Path +from starlette.testclient import TestClient +from typing_extensions import Annotated + +from titiler.xarray import dependencies + + +def test_xarray_tile(): + """Create App.""" + app = FastAPI() + + @app.get("/tiles/{z}/{x}/{y}") + def tiles( + z: Annotated[ + int, + Path( + description="Identifier (Z) selecting one of the scales defined in the TileMatrixSet and representing the scaleDenominator the tile.", + ), + ], + x: Annotated[ + int, + Path( + description="Column (X) index of the tile on the selected TileMatrix. It cannot exceed the MatrixHeight-1 for the selected TileMatrix.", + ), + ], + y: Annotated[ + int, + Path( + description="Row (Y) index of the tile on the selected TileMatrix. It cannot exceed the MatrixWidth-1 for the selected TileMatrix.", + ), + ], + params=Depends(dependencies.CompatXarrayParams), + ): + """return params.""" + return params.as_dict() + + with TestClient(app) as client: + response = client.get("/tiles/1/2/3") + params = response.json() + assert params == {} + + response = client.get("/tiles/1/2/3", params={"variable": "yo"}) + params = response.json() + assert params == {"variable": "yo"} + + response = client.get("/tiles/1/2/3", params={"multiscale": True}) + params = response.json() + assert params == {"group": 1} diff --git a/src/titiler/xarray/tests/test_io_tools.py b/src/titiler/xarray/tests/test_io_tools.py new file mode 100644 index 000000000..68f62a335 --- /dev/null +++ b/src/titiler/xarray/tests/test_io_tools.py @@ -0,0 +1,105 @@ +"""test titiler.xarray.io utility functions.""" + +from datetime import datetime + +import numpy +import pytest +import xarray + +from titiler.xarray.io import get_variable + + +def test_get_variable(): + """test io.get_variable.""" + arr = numpy.arange(0, 33 * 35 * 2).reshape(2, 33, 35) + data = xarray.DataArray( + arr, + dims=("time", "y", "x"), + coords={ + "x": numpy.arange(-170, 180, 10), + "y": numpy.arange(-80, 85, 5), + "time": [datetime(2022, 1, 1), datetime(2023, 1, 1)], + }, + ) + data.attrs.update({"valid_min": arr.min(), "valid_max": arr.max()}) + assert not data.rio.crs + assert data.dims == ("time", "y", "x") + + ds = data.to_dataset(name="dataset") + da = get_variable(ds, "dataset") + assert da.rio.crs + assert da.dims == ("y", "x") + # Default to the first Time value + assert da["time"] == numpy.datetime64("2022-01-01") + + da = get_variable(ds, "dataset", datetime="2023-01-01T01:00:00.000Z") + assert da.rio.crs + assert da.dims == ("y", "x") + assert da["time"] == numpy.datetime64("2023-01-01") + + # Select the Nearest Time + da = get_variable(ds, "dataset", datetime="2024-01-01T01:00:00.000Z") + assert da.rio.crs + assert da.dims == ("y", "x") + assert da["time"] == numpy.datetime64("2023-01-01") + + data = data.rename({"y": "Lat", "x": "Lon"}) + assert data.dims == ("time", "Lat", "Lon") + ds = data.to_dataset(name="dataset") + da = get_variable(ds, "dataset") + assert da.rio.crs + assert da.dims == ("y", "x") + + # 4D dataset + arr = numpy.arange(0, 33 * 35 * 2).reshape(2, 1, 33, 35) + data = xarray.DataArray( + arr, + dims=("time", "z", "y", "x"), + coords={ + "x": numpy.arange(-170, 180, 10), + "y": numpy.arange(-80, 85, 5), + "z": [0], + "time": [datetime(2022, 1, 1), datetime(2023, 1, 1)], + }, + ) + ds = data.to_dataset(name="dataset") + da = get_variable(ds, "dataset") + assert da.rio.crs + assert da.dims == ("z", "y", "x") + + # 5D dataset + arr = numpy.arange(0, 33 * 35 * 2).reshape(2, 1, 1, 33, 35) + data = xarray.DataArray( + arr, + dims=("time", "universe", "z", "y", "x"), + coords={ + "x": numpy.arange(-170, 180, 10), + "y": numpy.arange(-80, 85, 5), + "z": [0], + "universe": ["somewhere"], + "time": [datetime(2022, 1, 1), datetime(2023, 1, 1)], + }, + ) + ds = data.to_dataset(name="dataset") + with pytest.raises(AssertionError): + get_variable(ds, "dataset") + + da = get_variable(ds, "dataset", drop_dim="universe=somewhere") + assert da.rio.crs + assert da.dims == ("z", "y", "x") + + # 5D dataset + arr = numpy.arange(0, 33 * 35 * 2).reshape(2, 33, 35) + data = xarray.DataArray( + arr, + dims=("time", "haut_bas", "gauche_droite"), + coords={ + "gauche_droite": numpy.arange(-170, 180, 10), + "haut_bas": numpy.arange(-80, 85, 5), + "time": [datetime(2022, 1, 1), datetime(2023, 1, 1)], + }, + ) + + ds = data.to_dataset(name="dataset") + with pytest.raises(ValueError): + da = get_variable(ds, "dataset") diff --git a/src/titiler/xarray/titiler/xarray/__init__.py b/src/titiler/xarray/titiler/xarray/__init__.py new file mode 100644 index 000000000..bf0391716 --- /dev/null +++ b/src/titiler/xarray/titiler/xarray/__init__.py @@ -0,0 +1,3 @@ +"""titiler.xarray""" + +__version__ = "0.19.0.dev" diff --git a/src/titiler/xarray/titiler/xarray/dependencies.py b/src/titiler/xarray/titiler/xarray/dependencies.py new file mode 100644 index 000000000..1e49a7810 --- /dev/null +++ b/src/titiler/xarray/titiler/xarray/dependencies.py @@ -0,0 +1,211 @@ +"""titiler.xarray dependencies.""" + +from dataclasses import dataclass +from typing import Optional, Union + +import numpy +from fastapi import Query +from rio_tiler.types import RIOResampling, WarpResampling +from starlette.requests import Request +from typing_extensions import Annotated + +from titiler.core.dependencies import DefaultDependency + + +@dataclass +class XarrayIOParams(DefaultDependency): + """Dataset IO Options.""" + + group: Annotated[ + Optional[int], + Query( + description="Select a specific zarr group from a zarr hierarchy. Could be associated with a zoom level or dataset." + ), + ] = None + + reference: Annotated[ + Optional[bool], + Query( + title="reference", + description="Whether the dataset is a kerchunk reference", + ), + ] = None + + decode_times: Annotated[ + Optional[bool], + Query( + title="decode_times", + description="Whether to decode times", + ), + ] = None + + consolidated: Annotated[ + Optional[bool], + Query( + title="consolidated", + description="Whether to expect and open zarr store with consolidated metadata", + ), + ] = None + + # cache_client + + +@dataclass +class XarrayDsParams(DefaultDependency): + """Xarray Dataset Options.""" + + variable: Annotated[str, Query(description="Xarray Variable name")] + + drop_dim: Annotated[ + Optional[str], + Query(description="Dimension to drop"), + ] = None + + datetime: Annotated[ + Optional[str], Query(description="Slice of time to read (if available)") + ] = None + + +@dataclass +class XarrayParams(XarrayIOParams, XarrayDsParams): + """Xarray Reader dependency.""" + + pass + + +@dataclass(init=False) +class CompatXarrayParams(DefaultDependency): + """Custom XarrayParams endpoints. + + This Dependency aims to be used in a tiler where both GDAL/Xarray dataset would be supported. + By default `variable` won't be required but when using an Xarray dataset, + it would fail without the variable query-parameter set. + """ + + # File IO Options + group: Optional[int] = None + reference: Optional[bool] = None + decode_times: Optional[bool] = None + consolidated: Optional[bool] = None + + # Dataset Options + variable: Optional[str] = None + drop_dim: Optional[str] = None + datetime: Optional[str] = None + + def __init__( + self, + request: Request, + variable: Annotated[ + Optional[str], Query(description="Xarray Variable name") + ] = None, + group: Annotated[ + Optional[int], + Query( + description="Select a specific zarr group from a zarr hierarchy. Could be associated with a zoom level or dataset." + ), + ] = None, + reference: Annotated[ + Optional[bool], + Query( + title="reference", + description="Whether the dataset is a kerchunk reference", + ), + ] = None, + decode_times: Annotated[ + Optional[bool], + Query( + title="decode_times", + description="Whether to decode times", + ), + ] = None, + consolidated: Annotated[ + Optional[bool], + Query( + title="consolidated", + description="Whether to expect and open zarr store with consolidated metadata", + ), + ] = None, + drop_dim: Annotated[ + Optional[str], + Query(description="Dimension to drop"), + ] = None, + datetime: Annotated[ + Optional[str], Query(description="Slice of time to read (if available)") + ] = None, + ): + """Initialize XarrayIOParamsTiles + + Note: Because we don't want `z and multi-scale` to appear in the documentation we use a dataclass with a custom `__init__` method. + FastAPI will use the `__init__` method but will exclude Request in the documentation making `pool` an invisible dependency. + """ + self.variable = variable + self.group = group + self.reference = reference + self.decode_times = decode_times + self.consolidated = consolidated + self.drop_dim = drop_dim + self.datetime = datetime + + if request.query_params.get("multiscale") and request.path_params.get("z"): + self.group = int(request.path_params.get("z")) + + +@dataclass +class DatasetParams(DefaultDependency): + """Low level WarpedVRT Optional parameters.""" + + nodata: Annotated[ + Optional[Union[str, int, float]], + Query( + title="Nodata value", + description="Overwrite internal Nodata value", + ), + ] = None + reproject_method: Annotated[ + Optional[WarpResampling], + Query( + alias="reproject", + description="WarpKernel resampling algorithm (only used when doing re-projection). Defaults to `nearest`.", + ), + ] = None + + def __post_init__(self): + """Post Init.""" + if self.nodata is not None: + self.nodata = numpy.nan if self.nodata == "nan" else float(self.nodata) + + +@dataclass +class TileParams(DefaultDependency): + """Custom TileParams for Xarray.""" + + multiscale: Annotated[ + Optional[bool], + Query( + title="multiscale", + description="Whether the dataset has multiscale groups (Zoom levels)", + ), + ] = None + + +# Custom PartFeatureParams which add `resampling` +@dataclass +class PartFeatureParams(DefaultDependency): + """Common parameters for bbox and feature.""" + + max_size: Annotated[Optional[int], "Maximum image size to read onto."] = None + height: Annotated[Optional[int], "Force output image height."] = None + width: Annotated[Optional[int], "Force output image width."] = None + resampling_method: Annotated[ + Optional[RIOResampling], + Query( + alias="resampling", + description="RasterIO resampling algorithm. Defaults to `nearest`.", + ), + ] = None + + def __post_init__(self): + """Post Init.""" + if self.width and self.height: + self.max_size = None diff --git a/src/titiler/xarray/titiler/xarray/factory.py b/src/titiler/xarray/titiler/xarray/factory.py new file mode 100644 index 000000000..1f768f08b --- /dev/null +++ b/src/titiler/xarray/titiler/xarray/factory.py @@ -0,0 +1,364 @@ +"""TiTiler.xarray factory.""" + +from typing import Callable, List, Literal, Optional, Type, Union + +import rasterio +from attrs import define, field +from fastapi import Body, Depends, Path, Query +from geojson_pydantic.features import Feature, FeatureCollection +from geojson_pydantic.geometries import MultiPolygon, Polygon +from pydantic import Field +from rio_tiler.constants import WGS84_CRS +from rio_tiler.models import Info +from starlette.responses import Response +from typing_extensions import Annotated + +from titiler.core.dependencies import ( + CoordCRSParams, + CRSParams, + DatasetPathParams, + DefaultDependency, + DstCRSParams, + HistogramParams, + StatisticsParams, +) +from titiler.core.factory import TilerFactory as BaseTilerFactory +from titiler.core.factory import img_endpoint_params +from titiler.core.models.responses import InfoGeoJSON, StatisticsGeoJSON +from titiler.core.resources.enums import ImageType +from titiler.core.resources.responses import GeoJSONResponse, JSONResponse +from titiler.core.utils import render_image +from titiler.xarray.dependencies import ( + DatasetParams, + PartFeatureParams, + TileParams, + XarrayIOParams, + XarrayParams, +) +from titiler.xarray.io import Reader + + +@define(kw_only=True) +class TilerFactory(BaseTilerFactory): + """Xarray Tiler Factory.""" + + reader: Type[Reader] = Reader + + path_dependency: Callable[..., str] = DatasetPathParams + + reader_dependency: Type[DefaultDependency] = XarrayParams + + # Indexes/Expression Dependencies (Not layer dependencies for Xarray) + layer_dependency: Type[DefaultDependency] = DefaultDependency + + # Dataset Options (nodata, reproject) + dataset_dependency: Type[DefaultDependency] = DatasetParams + + # Tile/Tilejson/WMTS Dependencies (multiscale option) + tile_dependency: Type[TileParams] = TileParams + + # Statistics/Histogram Dependencies + stats_dependency: Type[DefaultDependency] = StatisticsParams + histogram_dependency: Type[DefaultDependency] = HistogramParams + + img_part_dependency: Type[DefaultDependency] = PartFeatureParams + + # Custom dependency for /variable + io_dependency: Type[DefaultDependency] = XarrayIOParams + + add_viewer: bool = True + add_part: bool = True + + # remove some attribute from init + img_preview_dependency: Type[DefaultDependency] = field(init=False) + add_preview: bool = field(init=False) + + def register_routes(self): + """Register routes to the router.""" + self.variables() + self.bounds() + self.info() + self.tile() + self.tilejson() + self.wmts() + self.point() + self.statistics() + + if self.add_part: + self.part() + + if self.add_viewer: + self.map_viewer() + + def variables(self): + """Register /variables endpoint.""" + + @self.router.get( + "/variables", + response_model=List[str], + responses={200: {"description": "Return Xarray Dataset variables."}}, + ) + def variables( + src_path=Depends(self.path_dependency), + io_params=Depends(self.io_dependency), + ): + """return available variables.""" + return self.reader.list_variables(src_path, **io_params.as_dict()) + + # Custom /info endpoints (adds `show_times` options) + def info(self): + """Register /info endpoint.""" + + @self.router.get( + "/info", + response_model=Info, + response_model_exclude_none=True, + response_class=JSONResponse, + responses={200: {"description": "Return dataset's basic info."}}, + ) + def info_endpoint( + src_path=Depends(self.path_dependency), + reader_params=Depends(self.reader_dependency), + show_times: Annotated[ + Optional[bool], + Query(description="Show info about the time dimension"), + ] = None, + env=Depends(self.environment_dependency), + ) -> Info: + """Return dataset's basic info.""" + with rasterio.Env(**env): + with self.reader(src_path, **reader_params.as_dict()) as src_dst: + info = src_dst.info().model_dump() + if show_times and "time" in src_dst.input.dims: + times = [str(x.data) for x in src_dst.input.time] + info["count"] = len(times) + info["times"] = times + + return Info(**info) + + @self.router.get( + "/info.geojson", + response_model=InfoGeoJSON, + response_model_exclude_none=True, + response_class=GeoJSONResponse, + responses={ + 200: { + "content": {"application/geo+json": {}}, + "description": "Return dataset's basic info as a GeoJSON feature.", + } + }, + ) + def info_geojson( + src_path=Depends(self.path_dependency), + reader_params=Depends(self.reader_dependency), + show_times: Annotated[ + Optional[bool], + Query(description="Show info about the time dimension"), + ] = None, + crs=Depends(CRSParams), + env=Depends(self.environment_dependency), + ): + """Return dataset's basic info as a GeoJSON feature.""" + with rasterio.Env(**env): + with self.reader(src_path, **reader_params.as_dict()) as src_dst: + bounds = src_dst.get_geographic_bounds(crs or WGS84_CRS) + if bounds[0] > bounds[2]: + pl = Polygon.from_bounds(-180, bounds[1], bounds[2], bounds[3]) + pr = Polygon.from_bounds(bounds[0], bounds[1], 180, bounds[3]) + geometry = MultiPolygon( + type="MultiPolygon", + coordinates=[pl.coordinates, pr.coordinates], + ) + else: + geometry = Polygon.from_bounds(*bounds) + + info = src_dst.info().model_dump() + if show_times and "time" in src_dst.input.dims: + times = [str(x.data) for x in src_dst.input.time] + info["count"] = len(times) + info["times"] = times + + return Feature( + type="Feature", + bbox=bounds, + geometry=geometry, + properties=info, + ) + + # custom /tiles endpoints (adds `multiscale` options) + def tile(self): + """Register /tiles endpoint.""" + + @self.router.get(r"/tiles/{tileMatrixSetId}/{z}/{x}/{y}", **img_endpoint_params) + @self.router.get( + r"/tiles/{tileMatrixSetId}/{z}/{x}/{y}.{format}", **img_endpoint_params + ) + @self.router.get( + r"/tiles/{tileMatrixSetId}/{z}/{x}/{y}@{scale}x", **img_endpoint_params + ) + @self.router.get( + r"/tiles/{tileMatrixSetId}/{z}/{x}/{y}@{scale}x.{format}", + **img_endpoint_params, + ) + def tile( + z: Annotated[ + int, + Path( + description="Identifier (Z) selecting one of the scales defined in the TileMatrixSet and representing the scaleDenominator the tile.", + ), + ], + x: Annotated[ + int, + Path( + description="Column (X) index of the tile on the selected TileMatrix. It cannot exceed the MatrixHeight-1 for the selected TileMatrix.", + ), + ], + y: Annotated[ + int, + Path( + description="Row (Y) index of the tile on the selected TileMatrix. It cannot exceed the MatrixWidth-1 for the selected TileMatrix.", + ), + ], + tileMatrixSetId: Annotated[ + Literal[tuple(self.supported_tms.list())], + Path( + description="Identifier selecting one of the TileMatrixSetId supported." + ), + ], + scale: Annotated[ + int, + Field( + gt=0, le=4, description="Tile size scale. 1=256x256, 2=512x512..." + ), + ] = 1, + format: Annotated[ + ImageType, + "Default will be automatically defined if the output image needs a mask (png) or not (jpeg).", + ] = None, + multiscale: Annotated[ + Optional[bool], + Query( + title="multiscale", + description="Whether the dataset has multiscale groups (Zoom levels)", + ), + ] = None, + src_path=Depends(self.path_dependency), + reader_params=Depends(self.reader_dependency), + tile_params=Depends(self.tile_dependency), + layer_params=Depends(self.layer_dependency), + dataset_params=Depends(self.dataset_dependency), + post_process=Depends(self.process_dependency), + rescale=Depends(self.rescale_dependency), + color_formula=Depends(self.color_formula_dependency), + colormap=Depends(self.colormap_dependency), + render_params=Depends(self.render_dependency), + env=Depends(self.environment_dependency), + ): + """Create map tile from a dataset.""" + tms = self.supported_tms.get(tileMatrixSetId) + + reader_options = reader_params.as_dict() + if getattr(tile_params, "multiscale", False): + reader_options["group"] = z + + with rasterio.Env(**env): + with self.reader(src_path, tms=tms, **reader_options) as src_dst: + image = src_dst.tile( + x, + y, + z, + tilesize=scale * 256, + **layer_params.as_dict(), + **dataset_params.as_dict(), + ) + + if post_process: + image = post_process(image) + + if rescale: + image.rescale(rescale) + + if color_formula: + image.apply_color_formula(color_formula) + + content, media_type = render_image( + image, + output_format=format, + colormap=colormap, + **render_params.as_dict(), + ) + + return Response(content, media_type=media_type) + + # custom /statistics endpoints (remove /statistics - GET) + def statistics(self): + """add statistics endpoints.""" + + # POST endpoint + @self.router.post( + "/statistics", + response_model=StatisticsGeoJSON, + response_model_exclude_none=True, + response_class=GeoJSONResponse, + responses={ + 200: { + "content": {"application/geo+json": {}}, + "description": "Return dataset's statistics from feature or featureCollection.", + } + }, + ) + def geojson_statistics( + geojson: Annotated[ + Union[FeatureCollection, Feature], + Body(description="GeoJSON Feature or FeatureCollection."), + ], + src_path=Depends(self.path_dependency), + reader_params=Depends(self.reader_dependency), + coord_crs=Depends(CoordCRSParams), + dst_crs=Depends(DstCRSParams), + layer_params=Depends(self.layer_dependency), + dataset_params=Depends(self.dataset_dependency), + image_params=Depends(self.img_part_dependency), + post_process=Depends(self.process_dependency), + stats_params=Depends(self.stats_dependency), + histogram_params=Depends(self.histogram_dependency), + env=Depends(self.environment_dependency), + ): + """Get Statistics from a geojson feature or featureCollection.""" + fc = geojson + if isinstance(fc, Feature): + fc = FeatureCollection(type="FeatureCollection", features=[geojson]) + + with rasterio.Env(**env): + with self.reader(src_path, **reader_params.as_dict()) as src_dst: + for feature in fc: + shape = feature.model_dump(exclude_none=True) + image = src_dst.feature( + shape, + shape_crs=coord_crs or WGS84_CRS, + dst_crs=dst_crs, + align_bounds_with_dataset=True, + **layer_params.as_dict(), + **image_params.as_dict(), + **dataset_params.as_dict(), + ) + + # Get the coverage % array + coverage_array = image.get_coverage_array( + shape, + shape_crs=coord_crs or WGS84_CRS, + ) + + if post_process: + image = post_process(image) + + stats = image.statistics( + **stats_params.as_dict(), + hist_options=histogram_params.as_dict(), + coverage=coverage_array, + ) + + feature.properties = feature.properties or {} + feature.properties.update({"statistics": stats}) + + return fc.features[0] if isinstance(geojson, Feature) else fc diff --git a/src/titiler/xarray/titiler/xarray/io.py b/src/titiler/xarray/titiler/xarray/io.py new file mode 100644 index 000000000..12a39743f --- /dev/null +++ b/src/titiler/xarray/titiler/xarray/io.py @@ -0,0 +1,306 @@ +"""titiler.xarray.io""" + +import pickle +import re +from typing import Any, Callable, Dict, List, Optional, Protocol + +import attr +import fsspec +import numpy +import s3fs +import xarray +from morecantile import TileMatrixSet +from rio_tiler.constants import WEB_MERCATOR_TMS +from rio_tiler.io.xarray import XarrayReader + + +class CacheClient(Protocol): + """CacheClient Protocol.""" + + def get(self, key: str) -> bytes: + """Get key.""" + ... + + def set(self, key: str, body: bytes) -> None: + """Set key.""" + ... + + +def parse_protocol(src_path: str, reference: Optional[bool] = False) -> str: + """Parse protocol from path.""" + match = re.match(r"^(s3|https|http)", src_path) + protocol = "file" + if match: + protocol = match.group(0) + + # override protocol if reference + if reference: + protocol = "reference" + + return protocol + + +def xarray_engine(src_path: str) -> str: + """Parse xarray engine from path.""" + # ".hdf", ".hdf5", ".h5" will be supported once we have tests + expand the type permitted for the group parameter + if any(src_path.lower().endswith(ext) for ext in [".nc", ".nc4"]): + return "h5netcdf" + else: + return "zarr" + + +def get_filesystem( + src_path: str, + protocol: str, + xr_engine: str, + anon: bool = True, +): + """ + Get the filesystem for the given source path. + """ + if protocol == "s3": + s3_filesystem = s3fs.S3FileSystem() + return ( + s3_filesystem.open(src_path) + if xr_engine == "h5netcdf" + else s3fs.S3Map(root=src_path, s3=s3_filesystem) + ) + + elif protocol == "reference": + reference_args = {"fo": src_path, "remote_options": {"anon": anon}} + return fsspec.filesystem("reference", **reference_args).get_mapper("") + + elif protocol in ["https", "http", "file"]: + filesystem = fsspec.filesystem(protocol) # type: ignore + return ( + filesystem.open(src_path) + if xr_engine == "h5netcdf" + else filesystem.get_mapper(src_path) + ) + + else: + raise ValueError(f"Unsupported protocol: {protocol}") + + +def xarray_open_dataset( + src_path: str, + group: Optional[Any] = None, + reference: Optional[bool] = False, + decode_times: Optional[bool] = True, + consolidated: Optional[bool] = True, + cache_client: Optional[CacheClient] = None, +) -> xarray.Dataset: + """Open dataset.""" + # Generate cache key and attempt to fetch the dataset from cache + if cache_client: + cache_key = f"{src_path}_{group}" if group is not None else src_path + data_bytes = cache_client.get(cache_key) + if data_bytes: + return pickle.loads(data_bytes) + + protocol = parse_protocol(src_path, reference=reference) + xr_engine = xarray_engine(src_path) + file_handler = get_filesystem(src_path, protocol, xr_engine) + + # Arguments for xarray.open_dataset + # Default args + xr_open_args: Dict[str, Any] = { + "decode_coords": "all", + "decode_times": decode_times, + } + + # Argument if we're opening a datatree + if isinstance(group, int): + xr_open_args["group"] = group + + # NetCDF arguments + if xr_engine == "h5netcdf": + xr_open_args["engine"] = "h5netcdf" + xr_open_args["lock"] = False + else: + # Zarr arguments + xr_open_args["engine"] = "zarr" + xr_open_args["consolidated"] = consolidated + + # Additional arguments when dealing with a reference file. + if reference: + xr_open_args["consolidated"] = False + xr_open_args["backend_kwargs"] = {"consolidated": False} + + ds = xarray.open_dataset(file_handler, **xr_open_args) + + if cache_client: + # Serialize the dataset to bytes using pickle + data_bytes = pickle.dumps(ds) + cache_client.set(cache_key, data_bytes) + + return ds + + +def _arrange_dims(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( + x for x in ["lat", "latitude", "LAT", "LATITUDE", "Lat"] if x in da.dims + ) + longitude_var_name = next( + x + for x in ["lon", "longitude", "LON", "LONGITUDE", "Lon"] + if x 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 _dims := [d for d in da.dims if d not in ["x", "y"]]: + da = da.transpose(*_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( + ds: xarray.Dataset, + variable: str, + datetime: Optional[str] = None, + drop_dim: Optional[str] = None, +) -> xarray.DataArray: + """Get Xarray variable as DataArray. + + Args: + ds (xarray.Dataset): Xarray Dataset. + variable (str): Variable to extract from the Dataset. + datetime (str, optional): datetime to select from the DataArray. + drop_dim (str, optional): DataArray dimension to drop in form of `{dimension}={value}`. + + Returns: + xarray.DataArray: 2D or 3D DataArray. + + """ + da = ds[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 = _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) + + # TODO: Technically we don't have to select the first time, rio-tiler should handle 3D dataset + if "time" in da.dims: + if datetime: + # TODO: handle time interval + time_as_str = datetime.split("T")[0] + if da["time"].dtype == "O": + da["time"] = da["time"].astype("datetime64[ns]") + + da = da.sel( + time=numpy.array(time_as_str, dtype=numpy.datetime64), method="nearest" + ) + else: + da = da.isel(time=0) + + assert len(da.dims) in [2, 3], "titiler.xarray can only work with 2D or 3D dataset" + + return da + + +@attr.s +class Reader(XarrayReader): + """Reader: Open Zarr file and access DataArray.""" + + src_path: str = attr.ib() + variable: str = attr.ib() + + # xarray.Dataset options + opener: Callable[..., xarray.Dataset] = attr.ib(default=xarray_open_dataset) + + group: Optional[Any] = attr.ib(default=None) + reference: bool = attr.ib(default=False) + decode_times: bool = attr.ib(default=False) + consolidated: Optional[bool] = attr.ib(default=True) + cache_client: Optional[CacheClient] = attr.ib(default=None) + + # xarray.DataArray options + datetime: Optional[str] = attr.ib(default=None) + drop_dim: Optional[str] = attr.ib(default=None) + + tms: TileMatrixSet = attr.ib(default=WEB_MERCATOR_TMS) + + ds: xarray.Dataset = attr.ib(init=False) + input: xarray.DataArray = attr.ib(init=False) + + _dims: List = attr.ib(init=False, factory=list) + + def __attrs_post_init__(self): + """Set bounds and CRS.""" + self.ds = self.opener( + self.src_path, + group=self.group, + reference=self.reference, + decode_times=self.decode_times, + consolidated=self.consolidated, + cache_client=self.cache_client, + ) + + self.input = get_variable( + self.ds, + self.variable, + datetime=self.datetime, + drop_dim=self.drop_dim, + ) + super().__attrs_post_init__() + + def close(self): + """Close xarray dataset.""" + self.ds.close() + + def __exit__(self, exc_type, exc_value, traceback): + """Support using with Context Managers.""" + self.close() + + @classmethod + def list_variables( + cls, + src_path: str, + group: Optional[Any] = None, + reference: Optional[bool] = False, + consolidated: Optional[bool] = True, + ) -> List[str]: + """List available variable in a dataset.""" + with xarray_open_dataset( + src_path, + group=group, + reference=reference, + consolidated=consolidated, + ) as ds: + return list(ds.data_vars) # type: ignore diff --git a/src/titiler/xarray/titiler/xarray/main.py b/src/titiler/xarray/titiler/xarray/main.py new file mode 100644 index 000000000..e23cb5e5d --- /dev/null +++ b/src/titiler/xarray/titiler/xarray/main.py @@ -0,0 +1,30 @@ +"""titiler xarray app.""" + +from fastapi import FastAPI + +from titiler.xarray.factory import TilerFactory + +############################################################################### + +app = FastAPI( + openapi_url="/api", + docs_url="/api.html", + description="""Xarray based tiles server for MultiDimensional dataset (Zarr/NetCDF). + +--- + +**Documentation**: https://developmentseed.org/titiler/ + +**Source Code**: https://github.com/developmentseed/titiler + +--- + """, +) + +md = TilerFactory(router_prefix="/md") + +app.include_router( + md.router, + prefix="/md", + tags=["Multi Dimensional"], +) diff --git a/src/titiler/xarray/titiler/xarray/py.typed b/src/titiler/xarray/titiler/xarray/py.typed new file mode 100644 index 000000000..e69de29bb From faaaa3ec42e22bbcb40a79bec46ccbdee05a75fb Mon Sep 17 00:00:00 2001 From: vincentsarago Date: Wed, 30 Oct 2024 13:18:19 +0100 Subject: [PATCH 2/5] add tests --- src/titiler/core/titiler/core/factory.py | 2 +- .../xarray/tests/fixtures/dataset_2d.nc | Bin 0 -> 268180 bytes 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src/titiler/xarray/tests/fixtures/dataset_3d.zarr/x/0 create mode 100644 src/titiler/xarray/tests/fixtures/dataset_3d.zarr/y/.zarray create mode 100644 src/titiler/xarray/tests/fixtures/dataset_3d.zarr/y/.zattrs create mode 100644 src/titiler/xarray/tests/fixtures/dataset_3d.zarr/y/0 create mode 100644 src/titiler/xarray/tests/fixtures/dataset_4d.nc create mode 100644 src/titiler/xarray/tests/fixtures/generate_fixtures.ipynb create mode 100644 src/titiler/xarray/tests/test_factory.py diff --git a/src/titiler/core/titiler/core/factory.py b/src/titiler/core/titiler/core/factory.py index fff72bd37..54298b4e7 100644 --- a/src/titiler/core/titiler/core/factory.py +++ b/src/titiler/core/titiler/core/factory.py @@ -1049,7 +1049,7 @@ def bbox_image( ): """Create image from a bbox.""" with rasterio.Env(**env): - with self.reader(src_path, **reader_params) as src_dst: + with self.reader(src_path, **reader_params.as_dict()) as src_dst: image = src_dst.part( [minx, miny, maxx, maxy], 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