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98 lines
3.5 KiB
Python
98 lines
3.5 KiB
Python
from __future__ import annotations
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from pathlib import Path
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from app.core.config import get_settings
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from app.core.errors import AppError
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_DTYPE_BYTES = {
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"uint8": 1,
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"int8": 1,
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"uint16": 2,
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"int16": 2,
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"uint32": 4,
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"int32": 4,
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"float32": 4,
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"uint64": 8,
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"int64": 8,
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"float64": 8,
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"complex64": 8,
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"complex128": 16,
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}
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def _import_rasterio():
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import importlib
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rasterio = importlib.import_module("rasterio")
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errors = importlib.import_module("rasterio.errors")
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return rasterio, errors
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def extract_raster_metadata(path: str) -> dict:
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try:
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rasterio, errors = _import_rasterio()
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except Exception as exc: # pragma: no cover - exercised via API-level fallback tests
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raise AppError(
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code="RASTER_PROCESSING_UNAVAILABLE",
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message="Raster processing unavailable. Install rasterio and GDAL-compatible drivers to enable raster metadata extraction.",
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status_code=503,
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) from exc
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dataset_path = Path(path)
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try:
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with rasterio.open(dataset_path) as dataset:
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settings = get_settings()
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width = int(dataset.width)
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height = int(dataset.height)
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band_count = int(dataset.count)
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pixel_count = width * height
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dtype_bytes = max((_DTYPE_BYTES.get(str(dtype), 16) for dtype in dataset.dtypes), default=16)
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decoded_bytes = pixel_count * band_count * dtype_bytes
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if (
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width <= 0
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or height <= 0
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or band_count <= 0
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or pixel_count > settings.max_raster_pixels
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or band_count > settings.max_raster_bands
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or decoded_bytes > settings.max_decoded_raster_mb * 1024 * 1024
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):
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raise AppError(
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code="RASTER_RESOURCE_LIMIT_EXCEEDED",
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message="Raster dimensions or decoded size exceed the configured processing budget.",
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details={
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"width": width,
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"height": height,
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"band_count": band_count,
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"pixel_count": pixel_count,
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"estimated_decoded_bytes": decoded_bytes,
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},
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status_code=413,
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)
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nodata = dataset.nodata
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if isinstance(nodata, (list, tuple)):
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nodata_value = [None if value is None else float(value) for value in nodata]
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else:
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nodata_value = None if nodata is None else float(nodata)
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transform = dataset.transform.to_gdal() if hasattr(dataset, "transform") else None
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return {
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"driver": dataset.driver,
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"width": width,
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"height": height,
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"band_count": band_count,
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"crs": str(dataset.crs) if dataset.crs else None,
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"bounds": list(dataset.bounds),
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"resolution": list(dataset.res),
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"dtype": list(dataset.dtypes),
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"nodata": nodata_value,
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"transform": list(transform) if transform is not None else None,
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}
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except AppError:
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raise
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except Exception as exc:
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if isinstance(exc, errors.RasterioIOError):
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raise AppError(code="INVALID_RASTER", message="Uploaded raster file is invalid", status_code=400) from exc
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raise AppError(code="RASTER_METADATA_ERROR", message="Unable to read raster metadata", status_code=400) from exc
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