From a53c882e0534dec0c47c2a9f6fd2e95266a46fc7 Mon Sep 17 00:00:00 2001 From: vincentsarago Date: Wed, 1 Feb 2023 18:19:42 +0100 Subject: [PATCH 01/12] sketch for raw raster support in pcfuncs --- pcfuncs/funclib/models.py | 142 ++++++++++++++++++++++++++- pcfuncs/funclib/raster.py | 45 ++++++++- pcfuncs/funclib/tiles.py | 80 ++++++++++++++- pcfuncs/requirements.txt | 1 + pcfuncs/tests/funclib/test_raster.py | 23 ++++- 5 files changed, 285 insertions(+), 6 deletions(-) diff --git a/pcfuncs/funclib/models.py b/pcfuncs/funclib/models.py index 9afeaeba..7eb5c59b 100644 --- a/pcfuncs/funclib/models.py +++ b/pcfuncs/funclib/models.py @@ -1,7 +1,13 @@ -from typing import Any, Dict, List, Optional, Union +from typing import Any, Dict, List, Optional, Tuple, Union from urllib.parse import quote +import attr +import numpy from pydantic import BaseModel +from rasterio.enums import ColorInterp, Resampling +from rasterio.io import DatasetReader, DatasetWriter, MemoryFile +from rio_tiler.models import ImageData +from rio_tiler.utils import get_array_statistics, non_alpha_indexes, resize_array class RenderOptions(BaseModel): @@ -104,3 +110,137 @@ def from_query_params(cls, render_params: str) -> "RenderOptions": result[k] = v return RenderOptions(**result) + + +@attr.s +class RIOImage(ImageData): + @property + def size(self) -> Tuple[int, int]: + return (self.width, self.height) + + def paste( + self, + img: "RIOImage", + box: Optional[ + Union[ + Tuple[int, int], + Tuple[int, int, int, int], + ] + ], + ) -> None: + if img.count != self.count: + raise Exception("Cannot merge 2 images with different band number") + + if img.data.dtype != self.data.dtype: + raise Exception("Cannot merge 2 images with different datatype") + + # Pastes another image into this image. + # The box argument is either a 2-tuple giving the upper left corner, + # a 4-tuple defining the left, upper, right, and lower pixel coordinate, + # or None (same as (0, 0)). See Coordinate System. If a 4-tuple is given, + # the size of the pasted image must match the size of the region. + if box is None: + box = (0, 0) + + if box: + if len(box) == 2: + minx, maxy = box # type: ignore + self.data[:, maxy:, minx:] = img.data + self.mask[maxy:, minx:] = img.mask + + elif len(box) == 4: + # TODO add more size tests + minx, maxy, maxy, miny = box # type: ignore + self.data[:, maxy:miny, minx:maxy] = img.data + self.mask[maxy:miny, minx:maxy] = img.mask + + else: + raise Exception("Invalid box format") + + def crop(self, bbox: Tuple[int, int, int, int]) -> "RIOImage": + """From rio-tiler 4.0""" + col_min, row_min, col_max, row_max = bbox + + data = self.data[:, row_min:row_max, col_min:col_max] + mask = self.mask[row_min:row_max, col_min:col_max] + + return RIOImage( # type: ignore + data, + mask, + assets=self.assets, + crs=self.crs, + bounds=bbox, + band_names=self.band_names, + metadata=self.metadata, + dataset_statistics=self.dataset_statistics, + ) + + # This is slightly different from the resize method in rio-tiler 4.0 + def resize( # type: ignore + self, + size: Tuple[int, int], + resampling_method: Resampling = "nearest", + ) -> "RIOImage": + """From rio-tiler 4.0""" + width, height = size + + data = resize_array(self.data, height, width, resampling_method) + mask = resize_array(self.mask, height, width, resampling_method) + + return RIOImage( # type: ignore + data, + mask, + assets=self.assets, + crs=self.crs, + bounds=self.bounds, + band_names=self.band_names, + metadata=self.metadata, + dataset_statistics=self.dataset_statistics, + ) + + @classmethod + def from_rio( + cls, dataset: Union[DatasetReader, DatasetWriter, MemoryFile] + ) -> "RIOImage": + indexes = non_alpha_indexes(dataset) + + if ColorInterp.alpha in dataset.colorinterp: + # If dataset has an alpha band we need to get the mask using + # the alpha band index and then split the data and mask values + alpha_idx = dataset.colorinterp.index(ColorInterp.alpha) + 1 + idx = tuple(indexes) + (alpha_idx,) + data = dataset.read(indexes=idx) + data, mask = data[0:-1], data[-1].astype("uint8") + + else: + data = dataset.read(indexes=indexes) + mask = dataset.dataset_mask() + + return cls( # type: ignore + data, + mask, + crs=dataset.crs, + bounds=dataset.bounds, + ) + + def statistics( + self, + categorical: bool = False, + categories: Optional[List[float]] = None, + percentiles: List[int] = [2, 98], + hist_options: Optional[Dict] = None, + ) -> Dict: + data = numpy.ma.array(self.data) + data.mask = self.mask == 0 + + hist_options = hist_options or {} + + stats = get_array_statistics( + data, + categorical=categorical, + categories=categories, + percentiles=percentiles, + **hist_options, + ) + + return {f"{self.band_names[ix]}": stats[ix] for ix in range(len(stats))} diff --git a/pcfuncs/funclib/raster.py b/pcfuncs/funclib/raster.py index bfdc9607..7f45e8be 100644 --- a/pcfuncs/funclib/raster.py +++ b/pcfuncs/funclib/raster.py @@ -6,6 +6,7 @@ from typing import Any, Dict, List, Optional, Tuple, TypeVar import mercantile +from funclib.models import RIOImage from PIL.Image import Image as PILImage from pyproj import CRS, Transformer @@ -170,5 +171,45 @@ def mask(self, geom: Dict[str, Any]) -> "PILRaster": class GDALRaster(Raster): - # TODO: Implement - ... + def __init__(self, extent: RasterExtent, image: RIOImage) -> None: + self.image = image + super().__init__(extent) + + def to_bytes(self, format: str = ExportFormats.PNG) -> io.BytesIO: + img_bytes = self.image.render( + add_mask=True, + img_format=format.upper(), + ) + return io.BytesIO(img_bytes) + + def crop(self, bbox: Bbox) -> "GDALRaster": + # Web mercator of user bbox + if ( + not bbox.crs == self.extent.bbox.crs + and bbox.crs is not None + and self.extent.bbox.crs is not None + ): + bbox = bbox.reproject(self.extent.bbox.crs) + + col_min, row_min = self.extent.map_to_grid(bbox.xmin, bbox.ymax) + col_max, row_max = self.extent.map_to_grid(bbox.xmax, bbox.ymin) + + box: Any = (col_min, row_min, col_max, row_max) + cropped = self.image.crop(box) + return GDALRaster( + extent=RasterExtent( + bbox, + cols=col_max - col_min, + rows=row_max - row_min, + ), + image=cropped, + ) + + def resample(self, cols: int, rows: int) -> "GDALRaster": + return GDALRaster( + extent=RasterExtent(bbox=self.extent.bbox, cols=cols, rows=rows), + image=self.image.resize((cols, rows)), + ) + + def mask(self, geom: Dict[str, Any]) -> "GDALRaster": + raise NotImplementedError("GDALRaster does not support masking") diff --git a/pcfuncs/funclib/tiles.py b/pcfuncs/funclib/tiles.py index e695b239..f63e2323 100644 --- a/pcfuncs/funclib/tiles.py +++ b/pcfuncs/funclib/tiles.py @@ -8,7 +8,8 @@ import aiohttp import mercantile -from funclib.models import RenderOptions +import numpy +from funclib.models import RenderOptions, RIOImage from funclib.raster import ( Bbox, ExportFormats, @@ -20,6 +21,7 @@ from funclib.settings import BaseExporterSettings from mercantile import Tile from PIL import Image +from rasterio.io import MemoryFile from pccommon.backoff import BackoffStrategy, with_backoff_async @@ -152,8 +154,82 @@ async def create( class GDALTileSet(TileSet[GDALRaster]): + async def _get_tile(self, url: str) -> Union[RIOImage, None]: + async def _f() -> RIOImage: + async with aiohttp.ClientSession() as session: + async with self._async_limit: + # We set Accept-Encoding to make sure the response is compressed + async with session.get( + url, headers={"Accept-Encoding": "gzip"} + ) as resp: + if resp.status == 200: + with MemoryFile(io.BytesIO(await resp.read())) as mem: + with mem.open() as src: + return RIOImage.from_rio(src) + else: + raise TilerError( + f"Error downloading tile: {url}", resp=resp + ) + + try: + return await with_backoff_async( + _f, + is_throttle=lambda e: isinstance(e, TilerError), + strategy=BackoffStrategy(waits=[0.2, 0.5, 0.75, 1, 2]), + ) + except Exception: + logger.warning(f"Tile request failed with backoff: {url}") + return None + async def get_mosaic(self, tiles: List[Tile]) -> GDALRaster: - raise NotImplementedError() + tasks: List[asyncio.Future[Union[RIOImage, None]]] = [] + for tile in tiles: + url = self.get_tile_url(tile.z, tile.x, tile.y) + print(f"Downloading {url}") + tasks.append(asyncio.ensure_future(self._get_tile(url))) + + tile_images: List[Union[RIOImage, None]] = list(await asyncio.gather(*tasks)) + + tileset_dimensions = get_tileset_dimensions(tiles, self.tile_size) + + # Get Count / datatype from the first tile_images + count: int + dtype: str + for im in tile_images: + if im: + count = im.count + dtype = im.data.dtype + break + + mosaic = RIOImage( # type: ignore + numpy.zeros( + (count, tileset_dimensions.total_rows, tileset_dimensions.total_cols), + dtype=dtype, + ) + ) + + x = 0 + y = 0 + for i, img in enumerate(tile_images): + if not img: + continue + + mosaic.paste(tile, (x * self.tile_size, y * self.tile_size)) + + # Increment the row/col position for subsequent tiles + if (i + 1) % tileset_dimensions.tile_rows == 0: + y = 0 + x += 1 + else: + y += 1 + + raster_extent = RasterExtent( + bbox=Bbox.from_tiles(tiles), + cols=tileset_dimensions.total_cols, + rows=tileset_dimensions.total_rows, + ) + + return GDALRaster(raster_extent, mosaic) class PILTileSet(TileSet[PILRaster]): diff --git a/pcfuncs/requirements.txt b/pcfuncs/requirements.txt index a5650fd2..ef36f20e 100644 --- a/pcfuncs/requirements.txt +++ b/pcfuncs/requirements.txt @@ -14,6 +14,7 @@ pillow==9.3.0 pyproj==3.3.1 pydantic>=1.9,<2.0.0 rasterio==1.3.* +rio-tiler==3.1.* # same as titiler 0.7.0 # Deployment needs to copy the local code into # the app code directory, so requires a separate diff --git a/pcfuncs/tests/funclib/test_raster.py b/pcfuncs/tests/funclib/test_raster.py index 3c2d90bc..8cfd6702 100644 --- a/pcfuncs/tests/funclib/test_raster.py +++ b/pcfuncs/tests/funclib/test_raster.py @@ -1,6 +1,8 @@ from pathlib import Path -from funclib.raster import Bbox, PILRaster, RasterExtent +import rasterio +from funclib.models import RIOImage +from funclib.raster import Bbox, GDALRaster, PILRaster, RasterExtent from PIL import Image HERE = Path(__file__).parent @@ -35,3 +37,22 @@ def test_raster_extent_map_to_grid() -> None: assert x == 5 assert y == 5 + + +def test_rio_crop() -> None: + with rasterio.open(DATA_FILES / "s2.png") as src: + img = RIOImage.from_rio(src) + + raster = GDALRaster( + extent=RasterExtent( + bbox=Bbox(0, 0, 10, 10), + cols=img.size[0], + rows=img.size[1], + ), + image=img, + ) + + cropped = raster.crop(Bbox(0, 0, 5, 5)) + + assert abs(cropped.extent.cols - (img.size[0] / 2)) < 1 + assert abs(cropped.extent.rows - (img.size[1] / 2)) < 1 From db20729c9e62cf065e032aa2daa5d914a3396e13 Mon Sep 17 00:00:00 2001 From: vincentsarago Date: Wed, 1 Feb 2023 18:40:48 +0100 Subject: [PATCH 02/12] remove missing attributes --- pcfuncs/funclib/models.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/pcfuncs/funclib/models.py b/pcfuncs/funclib/models.py index 7eb5c59b..c9f18f19 100644 --- a/pcfuncs/funclib/models.py +++ b/pcfuncs/funclib/models.py @@ -4,6 +4,7 @@ import attr import numpy from pydantic import BaseModel +from rasterio.coords import BoundingBox from rasterio.enums import ColorInterp, Resampling from rasterio.io import DatasetReader, DatasetWriter, MemoryFile from rio_tiler.models import ImageData @@ -169,10 +170,10 @@ def crop(self, bbox: Tuple[int, int, int, int]) -> "RIOImage": mask, assets=self.assets, crs=self.crs, - bounds=bbox, + bounds=BoundingBox(*bbox), band_names=self.band_names, metadata=self.metadata, - dataset_statistics=self.dataset_statistics, + # dataset_statistics=self.dataset_statistics, # added in rio-tiler 4.0 ) # This is slightly different from the resize method in rio-tiler 4.0 @@ -195,7 +196,7 @@ def resize( # type: ignore bounds=self.bounds, band_names=self.band_names, metadata=self.metadata, - dataset_statistics=self.dataset_statistics, + # dataset_statistics=self.dataset_statistics, # added in rio-tiler 4.0 ) @classmethod From bac4f16b33725b38d04e76b578466da64e3d882f Mon Sep 17 00:00:00 2001 From: vincentsarago Date: Thu, 9 Feb 2023 01:52:04 +0100 Subject: [PATCH 03/12] update from main and add more tests --- pcfuncs/funclib/models.py | 109 +++------------- pcfuncs/funclib/raster.py | 2 +- pcfuncs/funclib/tiles.py | 18 +-- pcfuncs/requirements.txt | 2 +- pcfuncs/tests/data-files/cog.tif | Bin 0 -> 799760 bytes pcfuncs/tests/funclib/test_gdal_tileset.py | 137 +++++++++++++++++++++ pcfuncs/tests/funclib/test_raster.py | 5 +- 7 files changed, 168 insertions(+), 105 deletions(-) create mode 100644 pcfuncs/tests/data-files/cog.tif create mode 100644 pcfuncs/tests/funclib/test_gdal_tileset.py diff --git a/pcfuncs/funclib/models.py b/pcfuncs/funclib/models.py index c9f18f19..c1c90f2f 100644 --- a/pcfuncs/funclib/models.py +++ b/pcfuncs/funclib/models.py @@ -2,13 +2,9 @@ from urllib.parse import quote import attr -import numpy from pydantic import BaseModel from rasterio.coords import BoundingBox -from rasterio.enums import ColorInterp, Resampling -from rasterio.io import DatasetReader, DatasetWriter, MemoryFile from rio_tiler.models import ImageData -from rio_tiler.utils import get_array_statistics, non_alpha_indexes, resize_array class RenderOptions(BaseModel): @@ -114,7 +110,9 @@ def from_query_params(cls, render_params: str) -> "RenderOptions": @attr.s -class RIOImage(ImageData): +class RIOImage(ImageData): # type: ignore + """Extend ImageData class.""" + @property def size(self) -> Tuple[int, int]: return (self.width, self.height) @@ -143,105 +141,34 @@ def paste( if box is None: box = (0, 0) - if box: - if len(box) == 2: - minx, maxy = box # type: ignore - self.data[:, maxy:, minx:] = img.data - self.mask[maxy:, minx:] = img.mask + if len(box) == 2: + size = img.size + box += (box[0] + size[0], box[1] + size[1]) # type: ignore + minx, maxy, maxx, miny = box # type: ignore + elif len(box) == 4: + # TODO add more size tests + minx, maxy, maxx, miny = box # type: ignore - elif len(box) == 4: - # TODO add more size tests - minx, maxy, maxy, miny = box # type: ignore - self.data[:, maxy:miny, minx:maxy] = img.data - self.mask[maxy:miny, minx:maxy] = img.mask + else: + raise Exception("Invalid box format") - else: - raise Exception("Invalid box format") + self.data[:, maxy:miny, minx:maxx] = img.data + self.mask[maxy:miny, minx:maxx] = img.mask def crop(self, bbox: Tuple[int, int, int, int]) -> "RIOImage": - """From rio-tiler 4.0""" + """Almost like ImageData.clip but do not deal with Geo transform.""" col_min, row_min, col_max, row_max = bbox data = self.data[:, row_min:row_max, col_min:col_max] mask = self.mask[row_min:row_max, col_min:col_max] - return RIOImage( # type: ignore + return RIOImage( data, mask, assets=self.assets, crs=self.crs, - bounds=BoundingBox(*bbox), + bounds=bbox, band_names=self.band_names, metadata=self.metadata, - # dataset_statistics=self.dataset_statistics, # added in rio-tiler 4.0 + dataset_statistics=self.dataset_statistics, ) - - # This is slightly different from the resize method in rio-tiler 4.0 - def resize( # type: ignore - self, - size: Tuple[int, int], - resampling_method: Resampling = "nearest", - ) -> "RIOImage": - """From rio-tiler 4.0""" - width, height = size - - data = resize_array(self.data, height, width, resampling_method) - mask = resize_array(self.mask, height, width, resampling_method) - - return RIOImage( # type: ignore - data, - mask, - assets=self.assets, - crs=self.crs, - bounds=self.bounds, - band_names=self.band_names, - metadata=self.metadata, - # dataset_statistics=self.dataset_statistics, # added in rio-tiler 4.0 - ) - - @classmethod - def from_rio( - cls, dataset: Union[DatasetReader, DatasetWriter, MemoryFile] - ) -> "RIOImage": - indexes = non_alpha_indexes(dataset) - - if ColorInterp.alpha in dataset.colorinterp: - # If dataset has an alpha band we need to get the mask using - # the alpha band index and then split the data and mask values - alpha_idx = dataset.colorinterp.index(ColorInterp.alpha) + 1 - idx = tuple(indexes) + (alpha_idx,) - data = dataset.read(indexes=idx) - data, mask = data[0:-1], data[-1].astype("uint8") - - else: - data = dataset.read(indexes=indexes) - mask = dataset.dataset_mask() - - return cls( # type: ignore - data, - mask, - crs=dataset.crs, - bounds=dataset.bounds, - ) - - def statistics( - self, - categorical: bool = False, - categories: Optional[List[float]] = None, - percentiles: List[int] = [2, 98], - hist_options: Optional[Dict] = None, - ) -> Dict: - data = numpy.ma.array(self.data) - data.mask = self.mask == 0 - - hist_options = hist_options or {} - - stats = get_array_statistics( - data, - categorical=categorical, - categories=categories, - percentiles=percentiles, - **hist_options, - ) - - return {f"{self.band_names[ix]}": stats[ix] for ix in range(len(stats))} diff --git a/pcfuncs/funclib/raster.py b/pcfuncs/funclib/raster.py index 7f45e8be..c21ee3d9 100644 --- a/pcfuncs/funclib/raster.py +++ b/pcfuncs/funclib/raster.py @@ -208,7 +208,7 @@ def crop(self, bbox: Bbox) -> "GDALRaster": def resample(self, cols: int, rows: int) -> "GDALRaster": return GDALRaster( extent=RasterExtent(bbox=self.extent.bbox, cols=cols, rows=rows), - image=self.image.resize((cols, rows)), + image=self.image.resize(rows, cols), # type: ignore ) def mask(self, geom: Dict[str, Any]) -> "GDALRaster": diff --git a/pcfuncs/funclib/tiles.py b/pcfuncs/funclib/tiles.py index f63e2323..1e2b261c 100644 --- a/pcfuncs/funclib/tiles.py +++ b/pcfuncs/funclib/tiles.py @@ -21,7 +21,6 @@ from funclib.settings import BaseExporterSettings from mercantile import Tile from PIL import Image -from rasterio.io import MemoryFile from pccommon.backoff import BackoffStrategy, with_backoff_async @@ -163,9 +162,8 @@ async def _f() -> RIOImage: url, headers={"Accept-Encoding": "gzip"} ) as resp: if resp.status == 200: - with MemoryFile(io.BytesIO(await resp.read())) as mem: - with mem.open() as src: - return RIOImage.from_rio(src) + return RIOImage.from_bytes(await resp.read()) # type: ignore + else: raise TilerError( f"Error downloading tile: {url}", resp=resp @@ -192,14 +190,16 @@ async def get_mosaic(self, tiles: List[Tile]) -> GDALRaster: tileset_dimensions = get_tileset_dimensions(tiles, self.tile_size) - # Get Count / datatype from the first tile_images - count: int - dtype: str + # By default if no tiles where return we create an + # empty mosaic with 3 bands and uint8 + count: int = 3 + dtype: str = "uint8" for im in tile_images: if im: + count = im.count dtype = im.data.dtype - break + break # Get Count / datatype from the first valid tile_images mosaic = RIOImage( # type: ignore numpy.zeros( @@ -214,7 +214,7 @@ async def get_mosaic(self, tiles: List[Tile]) -> GDALRaster: if not img: continue - mosaic.paste(tile, (x * self.tile_size, y * self.tile_size)) + mosaic.paste(img, (x * self.tile_size, y * self.tile_size)) # Increment the row/col position for subsequent tiles if (i + 1) % tileset_dimensions.tile_rows == 0: diff --git a/pcfuncs/requirements.txt b/pcfuncs/requirements.txt index ef36f20e..e37e26e6 100644 --- a/pcfuncs/requirements.txt +++ b/pcfuncs/requirements.txt @@ -14,7 +14,7 @@ pillow==9.3.0 pyproj==3.3.1 pydantic>=1.9,<2.0.0 rasterio==1.3.* -rio-tiler==3.1.* # same as titiler 0.7.0 +rio-tiler==4.1.* # same as titiler 0.10.2 # Deployment needs to copy the local code into # the app code directory, so requires a separate diff --git a/pcfuncs/tests/data-files/cog.tif b/pcfuncs/tests/data-files/cog.tif new file mode 100644 index 0000000000000000000000000000000000000000..54c83c7596c8957b1d29d50e935317e24f116eeb GIT binary patch literal 799760 zcmce-2T)Vp`!2c@nsgNrMVca_f>f271XMslL69OfpaKdAD!m3pMFB-Xq!SbbloIKk z&;*etO*)}UCqN*Cw0*Yc{=Rd+bLKy1?##J!GV^3T``yoaSAE~TlEAfVXMueH02~AW z7z+S{*c~p2{)f9l9R44^AG*i#AO5!n`+xY~I)eY=BLCuufALHI;eQ*s{4ah5#tQgD zK7PUhK<7XF4|IL&Uv>GycmNj22CxCZv*$bjJ4BB_92d?4NI?85#EZh=fEdJIK|C}I 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