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"""Shim module providing osgeo.gdal and osgeo.osr interfaces via rasterio. This allows LiCSBAS to run on Windows without compiling GDAL Python bindings. Only the subset of GDAL/OSR functions actually used by LiCSBAS is implemented. Used functions: gdal.Open(filename) -> Dataset gdal.GetDriverByName('GTiff') -> Driver gdal.Warp("", src, format='MEM', ...) -> Dataset gdal.Info(filename, ...) -> str/dict gdal.GDT_Float32, gdal.GDT_Byte gdal.DEMProcessing (not implemented — only used by color_geotiff) osr.SpatialReference() """ import numpy as np import rasterio from rasterio.transform import from_bounds from rasterio.warp import reproject, Resampling, calculate_default_transform from rasterio.crs import CRS import json # GDAL data type constants GDT_Float32 = "float32" GDT_Byte = "uint8" GDT_Float64 = "float64" GDT_Int16 = "int16" GDT_Int32 = "int32" GDT_UInt16 = "uint16" class SpatialReference: """Minimal osr.SpatialReference shim.""" def __init__(self): self._epsg = None def ImportFromEPSG(self, code): self._epsg = code def ExportToWkt(self): if self._epsg: return CRS.from_epsg(self._epsg).to_wkt() return "" class Band: """Shim for gdal.Band.""" def __init__(self, data, nodata=None, parent_dataset=None): self._data = data self._nodata = nodata self._parent = parent_dataset def ReadAsArray(self): return self._data def WriteArray(self, array): self._data[:] = array # in-place copy to preserve reference in Dataset._bands_data def SetNoDataValue(self, val): self._nodata = val if self._parent: self._parent._nodata = val def GetNoDataValue(self): return self._nodata def FlushCache(self): if self._parent: self._parent.FlushCache() class Dataset: """Shim for gdal.Dataset — wraps rasterio for read/write.""" def __init__(self, filename=None, array=None, transform=None, crs=None, nodata=None): self._filename = filename self._transform = transform self._crs = crs self._nodata = nodata self._bands_data = [] if filename and array is None: with rasterio.open(filename) as src: self._width = src.width self._height = src.height self._count = src.count self._transform = src.transform self._crs = src.crs self._nodata = src.nodata for i in range(1, src.count + 1): self._bands_data.append(src.read(i)) elif array is not None: if array.ndim == 2: self._bands_data = [array] self._height, self._width = array.shape self._count = 1 else: self._bands_data = [array[i] for i in range(array.shape[0])] self._count = array.shape[0] self._height, self._width = array.shape[1], array.shape[2] def ReadAsArray(self): if self._count == 1: return self._bands_data[0].copy() return np.array(self._bands_data) def GetRasterBand(self, idx): return Band(self._bands_data[idx - 1], self._nodata, parent_dataset=self) def GetGeoTransform(self): t = self._transform return (t.c, t.a, t.b, t.f, t.d, t.e) def GetProjection(self): if self._crs: return self._crs.to_wkt() return "" def SetGeoTransform(self, gt): from rasterio.transform import Affine self._transform = Affine(gt[1], gt[2], gt[0], gt[4], gt[5], gt[3]) def SetProjection(self, wkt): self._crs = CRS.from_wkt(wkt) @property def RasterXSize(self): return self._width @property def RasterYSize(self): return self._height @property def RasterCount(self): return self._count def SetMetadataItem(self, key, value, domain=""): """Store metadata (written to file on FlushCache if writable).""" if not hasattr(self, "_metadata"): self._metadata = {} self._metadata[key] = value def FlushCache(self): """Write dataset to disk if it was created via Driver.Create().""" if getattr(self, "_write_on_flush", False) and self._filename: _dtype_map = { "float32": rasterio.float32, "float64": rasterio.float64, "uint8": rasterio.uint8, "int16": rasterio.int16, "int32": rasterio.int32, "uint16": rasterio.uint16, } np_dtype = str(self._bands_data[0].dtype) rio_dtype = _dtype_map.get(np_dtype, rasterio.float32) profile = { "driver": "GTiff", "width": self._width, "height": self._height, "count": self._count, "dtype": rio_dtype, "crs": self._crs, "transform": self._transform, } if self._nodata is not None: profile["nodata"] = self._nodata # Apply compression if available if hasattr(self, "_create_options"): for opt in self._create_options: if "=" in opt: k, v = opt.split("=", 1) profile[k.lower()] = v with rasterio.open(self._filename, "w", **profile) as dst: for i, band_data in enumerate(self._bands_data): dst.write(band_data, i + 1) class Driver: """Shim for gdal.Driver.""" def __init__(self, name): self._name = name def Create(self, filename, width, height, bands=1, dtype=GDT_Float32, options=None): ds = Dataset() ds._filename = filename ds._width = width ds._height = height ds._count = bands np_dtype = np.float32 if dtype == GDT_Byte or dtype == "uint8": np_dtype = np.uint8 ds._bands_data = [np.zeros((height, width), dtype=np_dtype) for _ in range(bands)] ds._write_on_flush = True if options: ds._create_options = options return ds def Open(filename, mode=0): """Shim for gdal.Open().""" try: return Dataset(filename) except Exception: return None def GetDriverByName(name): """Shim for gdal.GetDriverByName().""" return Driver(name) def Warp(dest, src, format="GTiff", outputBounds=None, width=None, height=None, resampleAlg=None, srcNodata=None, dstNodata=None, **kwargs): """Shim for gdal.Warp() — reproject/clip a raster.""" resamp_map = { None: Resampling.nearest, "near": Resampling.nearest, "bilinear": Resampling.bilinear, "cubic": Resampling.cubic, "lanczos": Resampling.lanczos, } resampling = resamp_map.get(resampleAlg, Resampling.nearest) if isinstance(src, str): src_ds = Dataset(src) elif isinstance(src, Dataset): src_ds = src else: src_ds = Dataset(src) src_data = src_ds.ReadAsArray() src_transform = src_ds._transform src_crs = src_ds._crs or CRS.from_epsg(4326) if outputBounds and width and height: lon_w, lat_s, lon_e, lat_n = outputBounds dst_transform = from_bounds(lon_w, lat_s, lon_e, lat_n, width, height) dst_crs = src_crs if src_data.ndim == 2: dst_data = np.full((height, width), np.nan, dtype=np.float32) reproject( source=src_data.astype(np.float32), destination=dst_data, src_transform=src_transform, src_crs=src_crs, dst_transform=dst_transform, dst_crs=dst_crs, resampling=resampling, src_nodata=srcNodata, dst_nodata=dstNodata, ) else: dst_data = np.full((src_data.shape[0], height, width), np.nan, dtype=np.float32) for i in range(src_data.shape[0]): reproject( source=src_data[i].astype(np.float32), destination=dst_data[i], src_transform=src_transform, src_crs=src_crs, dst_transform=dst_transform, dst_crs=dst_crs, resampling=resampling, src_nodata=srcNodata, dst_nodata=dstNodata, ) result = Dataset(array=dst_data, transform=dst_transform, crs=dst_crs) return result else: return src_ds def Info(filename, computeMinMax=False, format=None, **kwargs): """Shim for gdal.Info().""" try: with rasterio.open(filename) as src: if format == "json": info = { "size": [src.width, src.height], "bands": [], } for i in range(1, src.count + 1): band_info = {"band": i} if computeMinMax: data = src.read(i) valid = data[~np.isnan(data)] if np.issubdtype(data.dtype, np.floating) else data if len(valid) > 0: band_info["computedMin"] = float(np.min(valid)) band_info["computedMax"] = float(np.max(valid)) info["bands"].append(band_info) return info return f"Driver: GTiff\nSize: {src.width}x{src.height}\nBands: {src.count}" except Exception: return None def IdentifyDriver(filename): """Shim for gdal.IdentifyDriver().""" try: with rasterio.open(filename) as src: return True except Exception: return None def VersionInfo(): """Return GDAL version string.""" return rasterio.gdal_version().replace(".", "0")