from __future__ import annotations from pathlib import Path from app.core.errors import AppError def _import_rasterio(): import importlib rasterio = importlib.import_module("rasterio") errors = importlib.import_module("rasterio.errors") return rasterio, errors def extract_raster_metadata(path: str) -> dict: try: rasterio, errors = _import_rasterio() except Exception as exc: # pragma: no cover - exercised via API-level fallback tests raise AppError( code="RASTER_PROCESSING_UNAVAILABLE", message="Raster processing unavailable. Install rasterio and GDAL-compatible drivers to enable raster metadata extraction.", status_code=503, ) from exc dataset_path = Path(path) try: with rasterio.open(dataset_path) as dataset: nodata = dataset.nodata if isinstance(nodata, (list, tuple)): nodata_value = [None if value is None else float(value) for value in nodata] else: nodata_value = None if nodata is None else float(nodata) transform = dataset.transform.to_gdal() if hasattr(dataset, "transform") else None return { "driver": dataset.driver, "width": int(dataset.width), "height": int(dataset.height), "band_count": int(dataset.count), "crs": str(dataset.crs) if dataset.crs else None, "bounds": list(dataset.bounds), "resolution": list(dataset.res), "dtype": list(dataset.dtypes), "nodata": nodata_value, "transform": list(transform) if transform is not None else None, } except Exception as exc: if isinstance(exc, errors.RasterioIOError): raise AppError(code="INVALID_RASTER", message="Uploaded raster file is invalid", status_code=400) from exc raise AppError(code="RASTER_METADATA_ERROR", message="Unable to read raster metadata", status_code=400) from exc