diff --git a/CHANGELOG.md b/CHANGELOG.md index f9deb1d..1e11f35 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,6 +7,17 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] +### Added + +`tilebox-storage`: Added a `LocalFileSystemStorageClient` to access data on a local file system, a mounted network file +system or a syncified directory with a remote file system (e.g. Dropbox, Google Drive, etc.). + +### Changed + +`tilebox-storage`: Renamed the existing `StorageClient` base class in `tilebox.storage.aio` to `CachingStorageClient` +to accomodate the new `StorageClient` base class that does not provide caching, since `LocalFileSystemStorageClient` is +the first client that does not cache data (since it's already on the local file system). + ## [0.47.0] - 2026-01-28 ### Added diff --git a/tilebox-storage/tilebox/storage/__init__.py b/tilebox-storage/tilebox/storage/__init__.py index 28975f7..e7785be 100644 --- a/tilebox-storage/tilebox/storage/__init__.py +++ b/tilebox-storage/tilebox/storage/__init__.py @@ -2,6 +2,7 @@ from tilebox.storage.aio import ASFStorageClient as _ASFStorageClient from tilebox.storage.aio import CopernicusStorageClient as _CopernicusStorageClient +from tilebox.storage.aio import LocalFileSystemStorageClient as _LocalFileSystemStorageClient from tilebox.storage.aio import UmbraStorageClient as _UmbraStorageClient from tilebox.storage.aio import USGSLandsatStorageClient as _USGSLandsatStorageClient @@ -66,3 +67,14 @@ def __init__(self, cache_directory: Path | None = Path.home() / ".cache" / "tile """ super().__init__(cache_directory) self._syncify() + + +class LocalFileSystemStorageClient(_LocalFileSystemStorageClient): + def __init__(self, root: Path) -> None: + """A tilebox storage client for accessing data on a local file system, or a mounted network file system. + + Args: + root: The root directory of the file system to access. + """ + super().__init__(root) + self._syncify() diff --git a/tilebox-storage/tilebox/storage/aio.py b/tilebox-storage/tilebox/storage/aio.py index 1ad4a9d..ce5bda6 100644 --- a/tilebox-storage/tilebox/storage/aio.py +++ b/tilebox-storage/tilebox/storage/aio.py @@ -24,6 +24,7 @@ from tilebox.storage.granule import ( ASFStorageGranule, CopernicusStorageGranule, + LocationStorageGranule, UmbraStorageGranule, USGSLandsatStorageGranule, ) @@ -241,6 +242,10 @@ def _display_quicklook(image_data: bytes | Path, width: int, height: int, image_ class StorageClient(Syncifiable): + """Base class for all storage clients.""" + + +class CachingStorageClient(StorageClient): def __init__(self, cache_directory: Path | None) -> None: self._cache = cache_directory @@ -323,7 +328,7 @@ async def _download_object( return output_path -class ASFStorageClient(StorageClient): +class ASFStorageClient(CachingStorageClient): def __init__(self, user: str, password: str, cache_directory: Path = Path.home() / ".cache" / "tilebox") -> None: """A tilebox storage client that downloads data from the Alaska Satellite Facility. @@ -415,7 +420,7 @@ async def quicklook(self, datapoint: xr.Dataset | ASFStorageGranule, width: int """ granule = ASFStorageGranule.from_data(datapoint) if Image is None: - raise ImportError("IPython is not available, please use download_preview instead.") + raise ImportError("IPython is not available, please use download_quicklook instead.") quicklook = await self._download_quicklook(datapoint) _display_quicklook(quicklook, width, height, f"Image {quicklook.name} © ASF {granule.time.year}") @@ -439,7 +444,7 @@ def _umbra_s3_prefix(datapoint: xr.Dataset | UmbraStorageGranule) -> str: return f"sar-data/tasks/{granule.location}/" -class UmbraStorageClient(StorageClient): +class UmbraStorageClient(CachingStorageClient): _STORAGE_PROVIDER = "Umbra" _BUCKET = "umbra-open-data-catalog" _REGION = "us-west-2" @@ -539,7 +544,7 @@ def _copernicus_s3_prefix(datapoint: xr.Dataset | CopernicusStorageGranule) -> s return granule.location.removeprefix("/eodata/") -class CopernicusStorageClient(StorageClient): +class CopernicusStorageClient(CachingStorageClient): _STORAGE_PROVIDER = "CopernicusDataspace" _BUCKET = "eodata" _ENDPOINT_URL = "https://eodata.dataspace.copernicus.eu" @@ -724,7 +729,7 @@ async def quicklook( ValueError: If no quicklook is available for the given datapoint. """ if Image is None: - raise ImportError("IPython is not available, please use download_preview instead.") + raise ImportError("IPython is not available, please use download_quicklook instead.") granule = CopernicusStorageGranule.from_data(datapoint) quicklook = await self._download_quicklook(granule) _display_quicklook(quicklook, width, height, f"{granule.granule_name} © ESA {granule.time.year}") @@ -750,7 +755,7 @@ def _landsat_s3_prefix(datapoint: xr.Dataset | USGSLandsatStorageGranule) -> str return granule.location.removeprefix("s3://usgs-landsat/") -class USGSLandsatStorageClient(StorageClient): +class USGSLandsatStorageClient(CachingStorageClient): """ A client for downloading USGS Landsat data from the usgs-landsat and usgs-landsat-ard S3 bucket. @@ -883,7 +888,7 @@ async def quicklook( ValueError: If no quicklook is available for the given datapoint. """ if Image is None: - raise ImportError("IPython is not available, please use download_preview instead.") + raise ImportError("IPython is not available, please use download_quicklook instead.") quicklook = await self._download_quicklook(datapoint) _display_quicklook(quicklook, width, height, f"Image {quicklook.name} © USGS") @@ -901,3 +906,77 @@ async def _download_quicklook(self, datapoint: xr.Dataset | USGSLandsatStorageGr await download_objects(self._store, prefix, [granule.thumbnail], output_folder, show_progress=False) return output_folder / granule.thumbnail + + +class LocalFileSystemStorageClient(StorageClient): + def __init__(self, root: Path) -> None: + """A tilebox storage client for accessing data on a local file system, or a mounted network file system. + + Args: + root: The root directory of the file system to access. + """ + super().__init__() + self._root = Path(root) + + async def list_objects(self, datapoint: xr.Dataset | LocationStorageGranule) -> list[str]: + """List all available objects for a given datapoint.""" + granule = LocationStorageGranule.from_data(datapoint) + granule_path = self._root / granule.location + return [p.relative_to(granule_path).as_posix() for p in granule_path.rglob("**/*") if p.is_file()] + + async def download( + self, + datapoint: xr.Dataset | LocationStorageGranule, + ) -> Path: + """No-op download method, as the data is already on the local file system. + + Args: + datapoint: The datapoint to locate the data for in the local file system. + + Returns: + The path to the data on the local file system. + """ + granule = LocationStorageGranule.from_data(datapoint) + granule_path = self._root / granule.location + if not granule_path.exists(): + raise ValueError(f"Data not found on the local file system: {granule_path}") + return granule_path + + async def _download_quicklook(self, datapoint: xr.Dataset | LocationStorageGranule) -> Path: + granule = LocationStorageGranule.from_data(datapoint) + if granule.thumbnail is None: + raise ValueError(f"No quicklook available for {granule.location}") + quicklook_path = self._root / granule.thumbnail + if not quicklook_path.exists(): + raise ValueError(f"Quicklook not found on the local file system: {quicklook_path}") + return quicklook_path + + async def download_quicklook(self, datapoint: xr.Dataset | LocationStorageGranule) -> Path: + """No-op download_quicklook method, as the quicklook image is already on the local file system. + + Args: + datapoint: The datapoint to locate the quicklook image for in the local file system. + + Returns: + The path to the data on the local file system. + + Raises: + ValueError: If no quicklook image is available for the given datapoint, or if the quicklook image is not + found on the local file system. + """ + return await self._download_quicklook(datapoint) + + async def quicklook( + self, datapoint: xr.Dataset | LocationStorageGranule, width: int = 600, height: int = 600 + ) -> None: + """Display the quicklook image for a given datapoint. + + Args: + datapoint: The datapoint to display the quicklook for. + width: Display width of the image in pixels. Defaults to 600. + height: Display height of the image in pixels. Defaults to 600. + """ + quicklook_path = await self._download_quicklook(datapoint) + if Image is None: + raise ImportError("IPython is not available, please use download_quicklook instead.") + _display_quicklook(quicklook_path, width, height, None) diff --git a/tilebox-storage/tilebox/storage/granule.py b/tilebox-storage/tilebox/storage/granule.py index 88c135d..f214bba 100644 --- a/tilebox-storage/tilebox/storage/granule.py +++ b/tilebox-storage/tilebox/storage/granule.py @@ -183,3 +183,28 @@ def from_data(cls, dataset: "xr.Dataset | USGSLandsatStorageGranule") -> "USGSLa dataset.location.item().replace("s3://usgs-landsat-ard/", "s3://usgs-landsat/"), thumbnail, ) + + +@dataclass +class LocationStorageGranule: + location: str + thumbnail: str | None = None + + @classmethod + def from_data(cls, dataset: "xr.Dataset | LocationStorageGranule") -> "LocationStorageGranule": + """Extract the granule information from a datapoint given as xarray dataset.""" + if isinstance(dataset, LocationStorageGranule): + return dataset + + if "location" not in dataset: + raise ValueError("The given dataset has no location information.") + + thumbnail = None + if "thumbnail" in dataset: + thumbnail = dataset.thumbnail.item() + elif "overview" in dataset: + thumbnail = dataset.overview.item() + elif "quicklook" in dataset: + thumbnail = dataset.quicklook.item() + + return cls(dataset.location.item(), thumbnail) diff --git a/uv.lock b/uv.lock index 8315f26..5d7617e 100644 --- a/uv.lock +++ b/uv.lock @@ -69,30 +69,30 @@ wheels = [ [[package]] name = "boto3" -version = "1.42.36" +version = "1.42.37" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "botocore" }, { name = "jmespath" }, { name = "s3transfer" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/54/06/50ff808cf4f40efada8edc20f9d563ab287864423c874dfb94f755a60c52/boto3-1.42.36.tar.gz", hash = "sha256:a4eb51105c8c5d7b2bc2a9e2316e69baf69a55611275b9f189c0cf59f1aae171", size = 112839, upload-time = "2026-01-27T20:38:26.992Z" } +sdist = { url = "https://files.pythonhosted.org/packages/a9/ef/0d6ceb88ae2b3638b956190a431e4a8a3697d5769d4bbbede8efcccacaea/boto3-1.42.37.tar.gz", hash = "sha256:d8b6c52c86f3bf04f71a5a53e7fb4d1527592afebffa5170cf3ef7d70966e610", size = 112830, upload-time = "2026-01-28T20:38:43.339Z" } wheels = [ - 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