titiler.xarray 0.19.1

titiler.xarray

Adds support for Xarray Dataset (NetCDF/Zarr) in Titiler.

Installation

python -m pip install -U pip

# From Pypi
python -m pip install "titiler.xarray[full]"

# 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[full]"

Installation options

Default installation for titiler.xarray DOES NOT include fsspec or any storage's specific dependencies (e.g s3fs) nor engine dependencies (zarr, h5netcdf). This is to ease the customization and deployment of user's applications. If you want to use the default's dataset reader you will need to at least use the [minimal] dependencies (e.g python -m pip install "titiler.xarray[minimal]").

Here is the list of available options:

• full: zarr, h5netcdf, fsspec, s3fs, aiohttp, gcsfs
• minimal: zarr, h5netcdf, fsspec
• gcs: gcsfs
• s3: s3fs
• http: aiohttp

How To

from fastapi import FastAPI

from titiler.xarray.extensions import VariablesExtension
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**: <a href="https://developmentseed.org/titiler/" target="_blank">https://developmentseed.org/titiler/</a>

**Source Code**: <a href="https://github.com/developmentseed/titiler" target="_blank">https://github.com/developmentseed/titiler</a>

---
    """,
)

md = TilerFactory(
    router_prefix="/md",
    extensions=[
        VariablesExtension(),
    ],
)
app.include_router(md.router, prefix="/md", tags=["Multi Dimensional"])

Package structure

titiler/
 └── xarray/
    ├── tests/                   - Tests suite
    └── titiler/xarray/          - `xarray` namespace package
        ├── dependencies.py      - titiler-xarray dependencies
        ├── extentions.py        - titiler-xarray extensions
        ├── io.py                - titiler-xarray Readers
        └── factory.py           - endpoints factory

Custom Dataset Opener

A default Dataset IO is provided within titiler.xarray.Reader class but will require optional dependencies (fsspec, zarr, h5netcdf, ...) to be installed with python -m pip install "titiler.xarray[full]". Dependencies are optional so the entire package size can be optimized to only include dependencies required by a given application.

Example:

requirements:

• titiler.xarray (base)
• h5netcdf

from typing import Callable
import attr
from fastapi import FastAPI
from titiler.xarray.io import Reader
from titiler.xarray.extensions import VariablesExtension
from titiler.xarray.factory import TilerFactory

import xarray
import h5netcdf  # noqa

# Create a simple Custom reader, using `xarray.open_dataset` opener
@attr.s
class CustomReader(Reader):
    """Custom io.Reader using xarray.open_dataset opener."""
    # xarray.Dataset options
    opener: Callable[..., xarray.Dataset] = attr.ib(default=xarray.open_dataset)


# Create FastAPI application
app = FastAPI(openapi_url="/api", docs_url="/api.html")

# Create custom endpoints with the CustomReader
md = TilerFactory(
    reader=CustomReader,
    router_prefix="/md",
    extensions=[
        # we also want to use the simple opener for the Extension
        VariablesExtension(dataset_opener==xarray.open_dataset),
    ],
)

app.include_router(md.router, prefix="/md", tags=["Multi Dimensional"])