From 727bf41a2a8e58b6713867dce69fe7b68c35fdd3 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Thu, 31 Oct 2024 13:08:06 +0100 Subject: [PATCH 01/24] potential bugfix havg --- hydromt_sfincs/subgrid.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hydromt_sfincs/subgrid.py b/hydromt_sfincs/subgrid.py index b40446b5..d600e86f 100644 --- a/hydromt_sfincs/subgrid.py +++ b/hydromt_sfincs/subgrid.py @@ -1080,7 +1080,7 @@ def subgrid_q_table( zmin_b = np.min(dd_b) # Minimum elevation side B zmax_b = np.max(dd_b) # Maximum elevation side B - zmin = max(zmin_a, zmin_b) + huthresh # Minimum elevation of uv point + zmin = min(zmin_a, zmin_b) + huthresh # Minimum elevation of uv point zmax = max(zmax_a, zmax_b) # Maximum elevation of uv point # Make sure zmax is always a bit higher than zmin From e128fdab93c414dc18832e1600ed2d67389b9ce4 Mon Sep 17 00:00:00 2001 From: Roel de Goede Date: Thu, 31 Oct 2024 19:02:58 +0100 Subject: [PATCH 02/24] undo previous commit and update computation of wet fractions (and increased readability) --- hydromt_sfincs/subgrid.py | 35 +++++++++++++++-------------------- 1 file changed, 15 insertions(+), 20 deletions(-) diff --git a/hydromt_sfincs/subgrid.py b/hydromt_sfincs/subgrid.py index d600e86f..1845b990 100644 --- a/hydromt_sfincs/subgrid.py +++ b/hydromt_sfincs/subgrid.py @@ -1080,7 +1080,7 @@ def subgrid_q_table( zmin_b = np.min(dd_b) # Minimum elevation side B zmax_b = np.max(dd_b) # Maximum elevation side B - zmin = min(zmin_a, zmin_b) + huthresh # Minimum elevation of uv point + zmin = max(zmin_a, zmin_b) + huthresh # Minimum elevation of uv point zmax = max(zmax_a, zmax_b) # Maximum elevation of uv point # Make sure zmax is always a bit higher than zmin @@ -1101,46 +1101,42 @@ def subgrid_q_table( h = np.maximum(zbin - elevation, 0.0) # water depth in each pixel - pwet[ibin] = (zbin - elevation > -1.0e-6).sum() / n + pwet[ibin] = (zbin - elevation > huthresh).sum() / n # Side A - h_a = np.maximum( - zbin - dd_a, 0.0 - ) # Depth of all pixels (but set min pixel height to zbot). Can be negative, but not zero (because zmin = zbot + huthresh, so there must be pixels below zb). + # Depth of all pixels (but set min pixel height to zbot). Can be negative, but not zero (because zmin = zbot + huthresh, so there must be pixels below zb). + h_a = np.maximum(zbin - dd_a, 0.0) q_a = h_a ** (5.0 / 3.0) / manning_a # Determine 'flux' for each pixel q_a = np.mean(q_a) # Grid-average flux through all the pixels h_a = np.mean(h_a) # Grid-average depth through all the pixels # Side B - h_b = np.maximum( - zbin - dd_b, 0.0 - ) # Depth of all pixels (but set min pixel height to zbot). Can be negative, but not zero (because zmin = zbot + huthresh, so there must be pixels below zb). + # Depth of all pixels (but set min pixel height to zbot). Can be negative, but not zero (because zmin = zbot + huthresh, so there must be pixels below zb). + h_b = np.maximum(zbin - dd_b, 0.0) q_b = h_b ** (5.0 / 3.0) / manning_b # Determine 'flux' for each pixel q_b = np.mean(q_b) # Grid-average flux through all the pixels h_b = np.mean(h_b) # Grid-average depth through all the pixels # Compute q and h - q_all = np.mean( - h ** (5.0 / 3.0) / manning - ) # Determine grid average 'flux' for each pixel + # Determine grid average 'flux' for each pixel + q_all = np.mean(h ** (5.0 / 3.0) / manning) h_all = np.mean(h) # grid averaged depth of A and B combined q_min = np.minimum(q_a, q_b) h_min = np.minimum(h_a, h_b) if option == 1: # Use old 1 option (weighted average of q_ab and q_all) option (min at bottom bin, mean at top bin) - w = (ibin) / ( - nlevels - 1 - ) # Weight (increase from 0 to 1 from bottom to top bin) + # Weight (increase from 0 to 1 from bottom to top bin) + w = (ibin) / (nlevels - 1) q = (1.0 - w) * q_min + w * q_all # Weighted average of q_min and q_all hmean = h_all elif option == 2: # Use newer 2 option (minimum of q_a an q_b, minimum of h_a and h_b increasing to h_all, using pwet for weighting) option - pwet_a = (zbin - dd_a > -1.0e-6).sum() / (n / 2) - pwet_b = (zbin - dd_b > -1.0e-6).sum() / (n / 2) + pwet_a = (zbin - dd_a > huthresh).sum() / (n / 2) + pwet_b = (zbin - dd_b > huthresh).sum() / (n / 2) # Weight increases linearly from 0 to 1 from bottom to top bin use percentage wet in sides A and B - w = 2 * np.minimum(pwet_a, pwet_b) / (pwet_a + pwet_b) + w = 2 * np.minimum(pwet_a, pwet_b) / max(pwet_a + pwet_b, 1.0e-9) q = (1.0 - w) * q_min + w * q_all # Weighted average of q_min and q_all hmean = (1.0 - w) * h_min + w * h_all # Weighted average of h_min and h_all @@ -1154,9 +1150,8 @@ def subgrid_q_table( # Determine nfit at zfit zfit = zmax + zmax - zmin - hfit = ( - havg_top + zmax - zmin - ) # mean water depth in cell as computed in SFINCS (assuming linear relation between water level and water depth above zmax) + # mean water depth in cell as computed in SFINCS (assuming linear relation between water level and water depth above zmax) + hfit = (havg_top + zmax - zmin) # Compute q and navg h = np.maximum(zfit - elevation, 0.0) # water depth in each pixel From 394b174a4b955b0fb829802a330a4ad229457085 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Wed, 27 Nov 2024 16:32:01 +0100 Subject: [PATCH 03/24] fix wet fractions and corresponding havg --- hydromt_sfincs/subgrid.py | 27 +++++++++++++++++++-------- 1 file changed, 19 insertions(+), 8 deletions(-) diff --git a/hydromt_sfincs/subgrid.py b/hydromt_sfincs/subgrid.py index d600e86f..8855605d 100644 --- a/hydromt_sfincs/subgrid.py +++ b/hydromt_sfincs/subgrid.py @@ -1080,8 +1080,8 @@ def subgrid_q_table( zmin_b = np.min(dd_b) # Minimum elevation side B zmax_b = np.max(dd_b) # Maximum elevation side B - zmin = min(zmin_a, zmin_b) + huthresh # Minimum elevation of uv point - zmax = max(zmax_a, zmax_b) # Maximum elevation of uv point + zmin = max(zmin_a, zmin_b) + huthresh # Minimum elevation of uv point + zmax = max(zmax_a, zmax_b) + huthresh # Maximum elevation of uv point # Make sure zmax is always a bit higher than zmin if zmax < zmin + 0.001: @@ -1101,8 +1101,6 @@ def subgrid_q_table( h = np.maximum(zbin - elevation, 0.0) # water depth in each pixel - pwet[ibin] = (zbin - elevation > -1.0e-6).sum() / n - # Side A h_a = np.maximum( zbin - dd_a, 0.0 @@ -1135,14 +1133,27 @@ def subgrid_q_table( q = (1.0 - w) * q_min + w * q_all # Weighted average of q_min and q_all hmean = h_all + # Wet fraction + pwet[ibin] = (zbin > elevation + huthresh).sum() / n + elif option == 2: - # Use newer 2 option (minimum of q_a an q_b, minimum of h_a and h_b increasing to h_all, using pwet for weighting) option - pwet_a = (zbin - dd_a > -1.0e-6).sum() / (n / 2) - pwet_b = (zbin - dd_b > -1.0e-6).sum() / (n / 2) + # We want to make sure that, in the first layer, hmean does not exceed huthresh. + # This is done by making sure that the wet fraction is 0.0 in the first level on the shallowest side (i.e. if ibin==0, pwet_a or pwet_b must be 0.0). + # As a result, the weight w will be 0.0 in the first level on the shallowest side. + # At the bottom level (i.e. ibin is 0), the grid-averaged depth h_min is typically huthresh / (n / 2), assuming there is one unique pixel that is the lowest. + if ibin == 0: + # Ensure that either pwet_a or pwet_b is 0.0 + pwet_a = (zbin > dd_a + huthresh + 1.0e-4).sum() / (n / 2) + pwet_b = (zbin > dd_b + huthresh + 1.0e-4).sum() / (n / 2) + else: + # Ensure that both pwet_a and pwet_b are 1.0 at the top level, so that the weight w is 1.0 and pwet[ibin] is 1.0 + pwet_a = (zbin > dd_a + huthresh - 1.0e-4).sum() / (n / 2) + pwet_b = (zbin > dd_b + huthresh - 1.0e-4).sum() / (n / 2) # Weight increases linearly from 0 to 1 from bottom to top bin use percentage wet in sides A and B - w = 2 * np.minimum(pwet_a, pwet_b) / (pwet_a + pwet_b) + w = 2 * np.minimum(pwet_a, pwet_b) / max(pwet_a + pwet_b, 1.0e-9) q = (1.0 - w) * q_min + w * q_all # Weighted average of q_min and q_all hmean = (1.0 - w) * h_min + w * h_all # Weighted average of h_min and h_all + pwet[ibin] = 0.5 * (pwet_a + pwet_b) # Combined pwet_a and pwet_b havg[ibin] = hmean # conveyance depth nrep[ibin] = hmean ** (5.0 / 3.0) / q # Representative n for qmean and hmean From 89812ae5f7ef0db7b8d0efe989cfaadbafe957c1 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 29 Nov 2024 16:28:54 +0100 Subject: [PATCH 04/24] add dependencies --- envs/hydromt-sfincs-dev.yml | 2 ++ pyproject.toml | 2 ++ 2 files changed, 4 insertions(+) diff --git a/envs/hydromt-sfincs-dev.yml b/envs/hydromt-sfincs-dev.yml index ebb3ce98..d4db9a9e 100644 --- a/envs/hydromt-sfincs-dev.yml +++ b/envs/hydromt-sfincs-dev.yml @@ -6,6 +6,7 @@ channels: dependencies: - affine - cartopy +- datashader - descartes - ffmpeg - geopandas>=1.0 @@ -30,6 +31,7 @@ dependencies: - shapely - sphinx - xarray +- xugrid - pip: - black[jupyter] - sphinx_design diff --git a/pyproject.toml b/pyproject.toml index 707e6888..fe498334 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,6 +12,7 @@ authors = [ ] dependencies = [ "affine", + "datashader", "geopandas>1.0", "hydromt>=0.10, <0.11", "numba", @@ -24,6 +25,7 @@ dependencies = [ "scipy", "shapely", "xarray", + "xugrid", ] requires-python = ">=3.9" # fix tests to support older versions readme = "README.rst" From 67eca4022e920e487acca5917ffd37db52da7a03 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 29 Nov 2024 16:45:56 +0100 Subject: [PATCH 05/24] add reading/writing quadtree netcdf files --- hydromt_sfincs/quadtree.py | 192 +++++++++++++++++++++++++++++++++++++ 1 file changed, 192 insertions(+) create mode 100644 hydromt_sfincs/quadtree.py diff --git a/hydromt_sfincs/quadtree.py b/hydromt_sfincs/quadtree.py new file mode 100644 index 00000000..8dc10471 --- /dev/null +++ b/hydromt_sfincs/quadtree.py @@ -0,0 +1,192 @@ +import logging +import os +import time +import warnings +from pathlib import Path +from typing import List, Union + +import numpy as np +from matplotlib import path +from pyproj import CRS, Transformer + +np.warnings = warnings + +import geopandas as gpd +import pandas as pd +import shapely + +try: + import xugrid as xu +except ImportError: + raise ImportError("xugrid is not installed. Please install it first.") +import xarray as xr + +try: + import datashader as ds + import datashader.transfer_functions as tf + from datashader.utils import export_image +except ImportError: + raise ImportError("datashader is not installed. Please install it first.") + +from hydromt_sfincs.subgrid import SubgridTableQuadtree + +logger = logging.getLogger(__name__) + + +class QuadtreeGrid: + def __init__(self, logger=logger): + self.nr_cells = 0 + self.nr_refinement_levels = 1 + self.version = 0 + + self.data = None + self.subgrid = SubgridTableQuadtree() + self.df = None + + @property + def crs(self): + if self.data is None: + return None + return self.data.grid.crs + + @property + def face_coordinates(self): + if self.data is None: + return None + xy = self.data.grid.face_coordinates + return xy[:, 0], xy[:, 1] + + @property + def exterior(self): + if self.data is None: + return gpd.GeoDataFrame() + indx = self.data.grid.edge_node_connectivity[self.data.grid.exterior_edges, :] + x = self.data.grid.node_x[indx] + y = self.data.grid.node_y[indx] + + # Make linestrings from numpy arrays x and y + linestrings = [ + shapely.LineString(np.column_stack((x[i], y[i]))) for i in range(len(x)) + ] + # Merge linestrings + merged = shapely.ops.linemerge(linestrings) + # Merge polygons + polygons = shapely.ops.polygonize(merged) + + return gpd.GeoDataFrame(geometry=list(polygons), crs=self.crs) + + @property + def empty_mask(self): + if self.data is None: + return None + # create empty mask + da0 = xr.DataArray( + data=np.zeros(shape=len(self.data.grid.face_coordinates)), + dims=self.data.grid.face_dimension, + ) + return xu.UgridDataArray(da0, self.data.grid) + + def read(self, file_name: Union[str, Path] = "sfincs.nc"): + """Reads a quadtree netcdf file and stores it in the QuadtreeGrid object.""" + + self.data = xu.open_dataset(file_name) + self.data.close() # TODO check if close works/is needed + + # TODO make similar to fortran conventions? + # Rename to python conventions + self.data = self.data.rename({"z": "dep"}) if "z" in self.data else self.data + self.data = ( + self.data.rename({"mask": "msk"}) if "mask" in self.data else self.data + ) + self.data = ( + self.data.rename({"snapwave_mask": "snapwave_msk"}) + if "snapwave_mask" in self.data + else self.data + ) + + self.nr_cells = self.data.sizes["mesh2d_nFaces"] + + # set CRS (not sure if that should be stored in the netcdf in this way) + # self.data.crs = CRS.from_wkt(self.data["crs"].crs_wkt) + self.data.grid.set_crs(CRS.from_wkt(self.data["crs"].crs_wkt)) + + for key, value in self.data.attrs.items(): + setattr(self, key, value) + + def write(self, file_name: Union[str, Path] = "sfincs.nc", version: int = 0): + """Writes a quadtree SFINCS netcdf file.""" + + # TODO do we want to cut inactive cells here? Or already when creating the mask? + + attrs = self.data.attrs + ds = self.data.ugrid.to_dataset() + + # TODO make similar to fortran conventions + # RENAME TO FORTRAN CONVENTION + ds = ds.rename({"dep": "z"}) if "dep" in ds else ds + ds = ds.rename({"msk": "mask"}) if "msk" in ds else ds + ds = ( + ds.rename({"snapwave_msk": "snapwave_mask"}) if "snapwave_msk" in ds else ds + ) + + ds.attrs = attrs + ds.to_netcdf(file_name) + + def map_overlay(self, file_name, xlim=None, ylim=None, color="black", width=800): + if self.data is None: + # No grid (yet) + return False + try: + if not hasattr(self, "df"): + self.df = None + if self.df is None: + self._get_datashader_dataframe() + + transformer = Transformer.from_crs(4326, 3857, always_xy=True) + xl0, yl0 = transformer.transform(xlim[0], ylim[0]) + xl1, yl1 = transformer.transform(xlim[1], ylim[1]) + xlim = [xl0, xl1] + ylim = [yl0, yl1] + ratio = (ylim[1] - ylim[0]) / (xlim[1] - xlim[0]) + height = int(width * ratio) + cvs = ds.Canvas( + x_range=xlim, y_range=ylim, plot_height=height, plot_width=width + ) + agg = cvs.line(self.df, x=["x1", "x2"], y=["y1", "y2"], axis=1) + img = tf.shade(agg) + path = os.path.dirname(file_name) + if not path: + path = os.getcwd() + name = os.path.basename(file_name) + name = os.path.splitext(name)[0] + export_image(img, name, export_path=path) + return True + except Exception as e: + return False + + def snap_to_grid(self, polyline, max_snap_distance=1.0): + if len(polyline) == 0: + return gpd.GeoDataFrame() + geom_list = [] + for iline, line in polyline.iterrows(): + geom = line["geometry"] + if geom.geom_type == "LineString": + geom_list.append(geom) + gdf = gpd.GeoDataFrame({"geometry": geom_list}) + snapped_uds, snapped_gdf = xu.snap_to_grid( + gdf, self.data.grid, max_snap_distance=max_snap_distance + ) + snapped_gdf = snapped_gdf.set_crs(self.crs) + return snapped_gdf + + # Internal functions + def _get_datashader_dataframe(self): + # Create a dataframe with line elements + x1 = self.data.grid.edge_node_coordinates[:, 0, 0] + x2 = self.data.grid.edge_node_coordinates[:, 1, 0] + y1 = self.data.grid.edge_node_coordinates[:, 0, 1] + y2 = self.data.grid.edge_node_coordinates[:, 1, 1] + transformer = Transformer.from_crs(self.crs, 3857, always_xy=True) + x1, y1 = transformer.transform(x1, y1) + x2, y2 = transformer.transform(x2, y2) + self.df = pd.DataFrame(dict(x1=x1, y1=y1, x2=x2, y2=y2)) From f6c40397b873ddc5b2763d58f0466ea9c8b3d34a Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 29 Nov 2024 16:48:26 +0100 Subject: [PATCH 06/24] add read/write subgrid quadtree --- hydromt_sfincs/subgrid.py | 34 ++++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) diff --git a/hydromt_sfincs/subgrid.py b/hydromt_sfincs/subgrid.py index b40446b5..fc7f64a6 100644 --- a/hydromt_sfincs/subgrid.py +++ b/hydromt_sfincs/subgrid.py @@ -815,6 +815,40 @@ def from_xarray(self, ds_sbg): setattr(self, name, ds_sbg[name].values) +class SubgridTableQuadtree: + # This code is still slow as it does not use numba + + def __init__(self, version=0): + # A quadtree subgrid table contains data for EACH cell, u and v point in the quadtree mesh, + # regardless of the mask value! + self.version = version + self.data = None + + def read(self, file_name): + """Read XArray dataset from netcdf file""" + + if not os.path.isfile(file_name): + logger.info("File " + file_name + " does not exist!") + return + + # Read from netcdf file with xarray + ds = xr.open_dataset(file_name) + # Transpose to ensure bins is first dimension (convert from FORTRAN convention in SFINCS to Python) + ds = ds.transpose("levels", "npuv", "np") + ds.close() # Should this be closed ? + self.data = ds + + def write(self, file_name): + """Write XArray dataset to netcdf file""" + # ensure levels is last dimension to match the FORTRAN convention in SFINCS + ds = self.data.transpose("npuv", "np", "levels") + + # fix names to match SFINCS convention + # ds = ds.rename_vars({"uv_navg": "uv_navg_w", "uv_ffit": "uv_fnfit"}) + + ds.to_netcdf(file_name) + + @njit def process_tile_regular( mask, From c74ec0345c4e04fb956fae3b24517e2916fbae0a Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 29 Nov 2024 17:13:21 +0100 Subject: [PATCH 07/24] add quadtree io in main sfincs.py --- hydromt_sfincs/sfincs.py | 170 +++++++++++++++++++++++++-------------- 1 file changed, 110 insertions(+), 60 deletions(-) diff --git a/hydromt_sfincs/sfincs.py b/hydromt_sfincs/sfincs.py index ab8a86e7..d92dc2d4 100644 --- a/hydromt_sfincs/sfincs.py +++ b/hydromt_sfincs/sfincs.py @@ -15,6 +15,7 @@ import numpy as np import pandas as pd import xarray as xr +from xugrid.core.wrap import UgridDataArray from hydromt.models.model_grid import GridModel from hydromt.vector import GeoDataArray, GeoDataset from hydromt.workflows.forcing import da_to_timedelta @@ -23,6 +24,7 @@ from . import DATADIR, plots, utils, workflows from .regulargrid import RegularGrid +from .quadtree import QuadtreeGrid from .subgrid import SubgridTableRegular from .sfincs_input import SfincsInput @@ -138,6 +140,16 @@ def __init__( self.quadtree = None self.subgrid = xr.Dataset() + def __del__(self): + """Close the model and remove the logger file handler.""" + for handler in self.logger.handlers: + if ( + isinstance(handler, logging.FileHandler) + and "hydromt.log" in handler.baseFilename + ): + handler.close() + self.logger.removeHandler(handler) + @property def mask(self) -> xr.DataArray | None: """Returns model mask""" @@ -146,6 +158,11 @@ def mask(self) -> xr.DataArray | None: return self.grid["msk"] elif self.reggrid is not None: return self.reggrid.empty_mask + elif self.grid_type == "quadtree": + if "msk" in self.quadtree.data: + return self.quadtree.data["msk"] + elif self.quadtree is not None: + return self.quadtree.empty_mask @property def region(self) -> gpd.GeoDataFrame: @@ -154,21 +171,32 @@ def region(self) -> gpd.GeoDataFrame: region = gpd.GeoDataFrame() if "region" in self.geoms: region = self.geoms["region"] - elif "msk" in self.grid and np.any(self.grid["msk"] > 0): - da = xr.where(self.mask > 0, 1, 0).astype(np.int16) - da.raster.set_nodata(0) - region = da.raster.vectorize().dissolve() - elif self.reggrid is not None: - region = self.reggrid.empty_mask.raster.box + elif self.grid_type == "regular": + if "msk" in self.grid and np.any(self.grid["msk"] > 0): + da = xr.where(self.mask > 0, 1, 0).astype(np.int16) + da.raster.set_nodata(0) + region = da.raster.vectorize().dissolve() + elif self.reggrid is not None: + region = self.reggrid.empty_mask.raster.box + elif self.grid_type == "quadtree": + region = self.quadtree.exterior return region + @property + def bbox(self) -> tuple: + """Returns the bounding box of the active model cells.""" + if self.grid_type == "regular": + return self.mask.raster.transform_bounds(4326) + elif self.grid_type == "quadtree": + return self.mask.ugrid.to_crs(4326).ugrid.total_bounds + @property def crs(self) -> CRS | None: """Returns the model crs""" if self.grid_type == "regular": return self.reggrid.crs elif self.grid_type == "quadtree": - return self.quadtree.crs + return self.quadtree.data.grid.crs def set_crs(self, crs: Any) -> None: """Sets the model crs""" @@ -176,7 +204,7 @@ def set_crs(self, crs: Any) -> None: self.reggrid.crs = CRS.from_user_input(crs) self.grid.raster.set_crs(self.reggrid.crs) elif self.grid_type == "quadtree": - self.quadtree.crs = CRS.from_user_input(crs) + self.quadtree.data.grid.set_crs(CRS.from_user_input(crs)) def setup_grid( self, @@ -885,7 +913,7 @@ def setup_river_inflow( if hydrography is not None: ds = self.data_catalog.get_rasterdataset( hydrography, - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, variables=["uparea", "flwdir"], buffer=5, ) @@ -1022,7 +1050,7 @@ def setup_river_outflow( if hydrography is not None: ds = self.data_catalog.get_rasterdataset( hydrography, - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, variables=["uparea", "flwdir"], buffer=5, ) @@ -1131,7 +1159,7 @@ def setup_constant_infiltration( if qinf is not None: da_inf = self.data_catalog.get_rasterdataset( qinf, - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, buffer=10, ) elif lulc is not None: @@ -1142,7 +1170,7 @@ def setup_constant_infiltration( ) da_lulc = self.data_catalog.get_rasterdataset( lulc, - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, buffer=10, variables=["lulc"], ) @@ -1202,9 +1230,7 @@ def setup_cn_infiltration(self, cn, antecedent_moisture="avg", reproj_method="me By default 'med'. For more information see, :py:meth:`hydromt.raster.RasterDataArray.reproject_like` """ # get data - da_org = self.data_catalog.get_rasterdataset( - cn, bbox=self.mask.raster.transform_bounds(4326), buffer=10 - ) + da_org = self.data_catalog.get_rasterdataset(cn, bbox=self.bbox, buffer=10) # read variable v = "cn" if antecedent_moisture: @@ -1253,14 +1279,10 @@ def setup_cn_infiltration_with_ks( # Read the datafiles da_landuse = self.data_catalog.get_rasterdataset( - lulc, bbox=self.mask.raster.transform_bounds(4326), buffer=10 - ) - da_HSG = self.data_catalog.get_rasterdataset( - hsg, bbox=self.mask.raster.transform_bounds(4326), buffer=10 - ) - da_Ksat = self.data_catalog.get_rasterdataset( - ksat, bbox=self.mask.raster.transform_bounds(4326), buffer=10 + lulc, bbox=self.bbox, buffer=10 ) + da_HSG = self.data_catalog.get_rasterdataset(hsg, bbox=self.bbox, buffer=10) + da_Ksat = self.data_catalog.get_rasterdataset(ksat, bbox=self.bbox, buffer=10) df_map = self.data_catalog.get_dataframe(reclass_table, index_col=0) # Define outputs @@ -1336,7 +1358,7 @@ def setup_cn_infiltration_with_ks( da_ks[sn, sm] = da_ks_block # Done - self.logger.info(f"Done with determination of values (in blocks).") + self.logger.info("Done with determination of values (in blocks).") # Specify the effective soil retention (seff) da_seff = da_smax @@ -1459,7 +1481,7 @@ def setup_observation_points( if merge and name in self.geoms: gdf0 = self._geoms.pop(name) gdf_obs = gpd.GeoDataFrame(pd.concat([gdf_obs, gdf0], ignore_index=True)) - self.logger.info(f"Adding new observation points to existing ones.") + self.logger.info("Adding new observation points to existing ones.") self.set_geoms(gdf_obs, name) self.set_config(f"{name}file", f"sfincs.{name}") @@ -1502,7 +1524,7 @@ def setup_observation_lines( if merge and name in self.geoms: gdf0 = self._geoms.pop(name) gdf_obs = gpd.GeoDataFrame(pd.concat([gdf_obs, gdf0], ignore_index=True)) - self.logger.info(f"Adding new observation lines to existing ones.") + self.logger.info("Adding new observation lines to existing ones.") self.set_geoms(gdf_obs, name) self.set_config(f"{name}file", f"sfincs.{name}") @@ -1909,7 +1931,7 @@ def setup_waterlevel_forcing( gdf_locs, df_ts = None, None tstart, tstop = self.get_model_time() # model time # buffer around msk==2 values - if np.any(self.mask == 2): + if np.any(self.mask == 2) and not self.grid_type == "quadtree": region = self.mask.where(self.mask == 2, 0).raster.vectorize() else: region = self.region @@ -1959,7 +1981,7 @@ def setup_waterlevel_forcing( else: da_offset = self.data_catalog.get_rasterdataset( offset, - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, buffer=5, ) offset_pnts = da_offset.raster.sample(gdf_locs) @@ -2174,7 +2196,7 @@ def setup_discharge_forcing_from_grid( # read data ds = self.data_catalog.get_rasterdataset( discharge, - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, buffer=2, time_tuple=self.get_model_time(), # model time variables=["discharge"], @@ -2183,7 +2205,7 @@ def setup_discharge_forcing_from_grid( if uparea is not None and "uparea" in gdf.columns: da_upa = self.data_catalog.get_rasterdataset( uparea, - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, buffer=2, variables=["uparea"], ) @@ -2245,7 +2267,7 @@ def setup_precip_forcing_from_grid( # get data for model domain and config time range precip = self.data_catalog.get_rasterdataset( precip, - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, buffer=2, time_tuple=self.get_model_time(), variables=["precip"], @@ -2780,7 +2802,13 @@ def read(self, epsg: int = None): self.read_config(epsg=epsg) if epsg is None and "epsg" not in self.config: raise ValueError("Please specify epsg to read this model") - self.read_grid() + if self.grid_type == "regular": + self.read_grid() + elif self.grid_type == "quadtree": + fn = self.get_config("qtrfile", fallback="sfincs.nc", abs_path=True) + if not isfile(fn): + raise IOError(f".nc path {fn} does not exist") + self.quadtree.read(file_name=fn) self.read_subgrid() self.read_geoms() self.read_forcing() @@ -2790,7 +2818,11 @@ def write(self): """Write the complete model schematization and configuration to file.""" self.logger.info(f"Writing model data to {self.root}") # TODO - add check for subgrid & quadtree > give flags to self.write_grid() and self.write_config() - self.write_grid() + if self.grid_type == "regular": + self.write_grid() + elif self.grid_type == "quadtree": + fn = self.get_config("qtrfile", abs_path=True) + self.quadtree.write(file_name=fn) self.write_subgrid() self.write_geoms() self.write_forcing() @@ -2846,6 +2878,17 @@ def read_grid(self, data_vars: Union[List, str] = None) -> None: ds.raster.set_crs(epsg) self.set_grid(ds) + # TODO - fix this properly; but to create overlays in GUIs, + # we always convert regular grids to a UgridDataArray + self.quadtree = QuadtreeGrid(logger=self.logger) + if self.config.get("rotation", 0) != 0: # This is a rotated regular grid + self.quadtree.data = UgridDataArray.from_structured( + self.mask, "xc", "yc" + ) + else: + self.quadtree.data = UgridDataArray.from_structured(self.mask) + self.quadtree.data.grid.set_crs(self.crs) + # keep some metadata maps from gis directory fns = glob.glob(join(self.root, "gis", "*.tif")) fns = [ @@ -2917,29 +2960,30 @@ def read_subgrid(self): self.logger.warning(f"sbgfile not found at {fn}") return - # re-initialize subgrid (different variables for old/new version) - # TODO: come up with a better way to handle this - self.reggrid.subgrid = SubgridTableRegular() - self.subgrid = xr.Dataset() - - # read subgrid file - if fn.parts[-1].endswith(".sbg"): # read binary file - self.reggrid.subgrid.read_binary(file_name=fn, mask=self.mask) - else: # read netcdf file - self.reggrid.subgrid.read(file_name=fn, mask=self.mask) - self.subgrid = self.reggrid.subgrid.to_xarray( - dims=self.mask.raster.dims, coords=self.mask.raster.coords - ) + if self.grid_type == "regular": + # TODO: come up with a better way to handle this + self.reggrid.subgrid = SubgridTableRegular() + self.subgrid = xr.Dataset() + + # read subgrid file + if fn.parts[-1].endswith(".sbg"): # read binary file + self.reggrid.subgrid.read_binary(file_name=fn, mask=self.mask) + else: # read netcdf file + self.reggrid.subgrid.read(file_name=fn, mask=self.mask) + self.subgrid = self.reggrid.subgrid.to_xarray( + dims=self.mask.raster.dims, coords=self.mask.raster.coords + ) + else: + self.quadtree.subgrid.read(file_name=fn) def write_subgrid(self): """Write SFINCS subgrid file.""" self._assert_write_mode - if self.subgrid: + if self.grid_type == "regular" and self.subgrid: if "sbgfile" not in self.config: # apparently no subgrid was read, so set default filename self.set_config("sbgfile", "sfincs_subgrid.nc") - fn = self.get_config("sbgfile", abs_path=True) if fn.parts[-1].endswith(".sbg"): # write binary file @@ -2947,6 +2991,13 @@ def write_subgrid(self): else: # write netcdf file self.reggrid.subgrid.write(file_name=fn, mask=self.mask) + elif self.grid_type == "quadtree" and self.quadtree.subgrid.data is not None: + if "sbgfile" not in self.config: + # apparently no subgrid was read, so set default filename + self.set_config("sbgfile", "sfincs_subgrid.nc") + + fn = self.get_config("sbgfile", abs_path=True) + self.quadtree.subgrid.write(file_name=fn) def read_geoms(self): """Read geometry files and save to `geoms` attribute. @@ -3563,9 +3614,8 @@ def update_grid_from_config(self): rotation=self.config.get("rotation", 0), epsg=self.config.get("epsg"), ) - else: - raise not NotImplementedError("Quadtree grid not implemented yet") - # self.quadtree = QuadtreeGrid() + elif self.grid_type == "quadtree": + self.quadtree = QuadtreeGrid(logger=self.logger) def get_model_time(self): """Return (tstart, tstop) tuple with parsed model start and end time""" @@ -3602,7 +3652,7 @@ def _parse_datasets_dep(self, datasets_dep, res): try: da_elv = self.data_catalog.get_rasterdataset( dataset.get("elevtn", dataset.get("da")), - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, buffer=10, variables=["elevtn"], zoom_level=(res, "meter"), @@ -3623,7 +3673,7 @@ def _parse_datasets_dep(self, datasets_dep, res): if "offset" in dataset and not isinstance(dataset["offset"], (float, int)): da_offset = self.data_catalog.get_rasterdataset( dataset.get("offset"), - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, buffer=10, ) dd.update({"offset": da_offset}) @@ -3632,7 +3682,7 @@ def _parse_datasets_dep(self, datasets_dep, res): if "mask" in dataset: gdf_valid = self.data_catalog.get_geodataframe( dataset.get("mask"), - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, ) dd.update({"gdf_valid": gdf_valid}) @@ -3674,7 +3724,7 @@ def _parse_datasets_rgh(self, datasets_rgh): if "manning" in dataset or "da" in dataset: da_man = self.data_catalog.get_rasterdataset( dataset.get("manning", dataset.get("da")), - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, buffer=10, ) dd.update({"da": da_man}) @@ -3686,11 +3736,11 @@ def _parse_datasets_rgh(self, datasets_rgh): reclass_table = join(DATADIR, "lulc", f"{lulc}_mapping.csv") if reclass_table is None: raise IOError( - f"Manning roughness 'reclass_table' csv file must be provided" + "Manning roughness 'reclass_table' csv file must be provided" ) da_lulc = self.data_catalog.get_rasterdataset( lulc, - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, buffer=10, variables=["lulc"], ) @@ -3705,7 +3755,7 @@ def _parse_datasets_rgh(self, datasets_rgh): if "mask" in dataset: gdf_valid = self.data_catalog.get_geodataframe( dataset.get("mask"), - bbox=self.mask.raster.transform_bounds(4326), + bbox=self.bbox, ) dd.update({"gdf_valid": gdf_valid}) @@ -3754,7 +3804,7 @@ def _parse_datasets_riv(self, datasets_riv): else: gdf_riv = self.data_catalog.get_geodataframe( rivers, - geom=self.mask.raster.box, + bbox=self.bbox, buffer=1e3, # 1km ).to_crs(self.crs) # update missing attributes based on global values @@ -3771,7 +3821,7 @@ def _parse_datasets_riv(self, datasets_riv): if "point_zb" in dataset: gdf_zb = self.data_catalog.get_geodataframe( dataset.get("point_zb"), - geom=self.mask.raster.box, + bbox=self.bbox, ) dd.update({"gdf_zb": gdf_zb}) @@ -3788,7 +3838,7 @@ def _parse_datasets_riv(self, datasets_riv): if "mask" in dataset: gdf_riv_mask = self.data_catalog.get_geodataframe( dataset.get("mask"), - geom=self.mask.raster.box, + bbox=self.bbox, ) dd.update({"gdf_riv_mask": gdf_riv_mask}) elif "rivwth" not in gdf_riv: From e932bd7f96146d99a283533125ad0fd0780a053f Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 29 Nov 2024 17:23:59 +0100 Subject: [PATCH 08/24] Solve some linting warnings --- hydromt_sfincs/quadtree.py | 2 +- hydromt_sfincs/sfincs.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/hydromt_sfincs/quadtree.py b/hydromt_sfincs/quadtree.py index 8dc10471..b6f6ef9e 100644 --- a/hydromt_sfincs/quadtree.py +++ b/hydromt_sfincs/quadtree.py @@ -161,7 +161,7 @@ def map_overlay(self, file_name, xlim=None, ylim=None, color="black", width=800) name = os.path.splitext(name)[0] export_image(img, name, export_path=path) return True - except Exception as e: + except Exception: return False def snap_to_grid(self, polyline, max_snap_distance=1.0): diff --git a/hydromt_sfincs/sfincs.py b/hydromt_sfincs/sfincs.py index d92dc2d4..f7d504a9 100644 --- a/hydromt_sfincs/sfincs.py +++ b/hydromt_sfincs/sfincs.py @@ -1840,7 +1840,7 @@ def set_forcing_1d( if not set(gdf_locs.index) == set(df_ts.columns): gdf_locs = gdf_locs.set_index(df_ts.columns) self.logger.info( - f"No matching index column found in gdf_locs; assuming the order is correct" + "No matching index column found in gdf_locs; assuming the order is correct" ) # merge with existing data if name in self.forcing and merge: From 5154f11aacbc5256505a1204021cf79df05122e8 Mon Sep 17 00:00:00 2001 From: DirkEilander Date: Wed, 11 Dec 2024 10:57:36 +0100 Subject: [PATCH 09/24] make datashader optional dep --- .github/workflows/tests_dev.yml | 111 ++++++++++++++++---------------- hydromt_sfincs/quadtree.py | 40 ++++++------ pyproject.toml | 6 +- 3 files changed, 80 insertions(+), 77 deletions(-) diff --git a/.github/workflows/tests_dev.yml b/.github/workflows/tests_dev.yml index d67ae839..fcb12dac 100644 --- a/.github/workflows/tests_dev.yml +++ b/.github/workflows/tests_dev.yml @@ -1,62 +1,63 @@ -name: Tests with HydroMT dev +# Uncomment when we move to HydroMT v1 +# name: Tests with HydroMT dev -on: - # trigger weekly on monday at 00:00 UTC - schedule: - - cron: '0 0 * * 1' - push: - branches: [main] - paths: - - .github/workflows/tests_dev.yml - - tests/* - - hydromt_sfincs/* - - pyproject.toml - pull_request: - branches: [main] - paths: - - .github/workflows/tests_dev.yml - - tests/* - - hydromt_sfincs/* - - pyproject.toml +# on: +# # trigger weekly on monday at 00:00 UTC +# schedule: +# - cron: '0 0 * * 1' +# push: +# branches: [main] +# paths: +# - .github/workflows/tests_dev.yml +# - tests/* +# - hydromt_sfincs/* +# - pyproject.toml +# pull_request: +# branches: [main] +# paths: +# - .github/workflows/tests_dev.yml +# - tests/* +# - hydromt_sfincs/* +# - pyproject.toml -jobs: - build: - defaults: - run: - shell: bash -l {0} - strategy: - fail-fast: false - runs-on: ubuntu-latest - timeout-minutes: 30 - concurrency: - group: ${{ github.workflow }}-${{ matrix.python-version }}-${{ github.ref }} - cancel-in-progress: true - steps: +# jobs: +# build: +# defaults: +# run: +# shell: bash -l {0} +# strategy: +# fail-fast: false +# runs-on: ubuntu-latest +# timeout-minutes: 30 +# concurrency: +# group: ${{ github.workflow }}-${{ matrix.python-version }}-${{ github.ref }} +# cancel-in-progress: true +# steps: - - uses: actions/checkout@v3 +# - uses: actions/checkout@v3 - - uses: actions/setup-python@v5 - id: pip - with: - # caching, see https://github.com/actions/setup-python/blob/main/docs/advanced-usage.md#caching-packages - cache: 'pip' - python-version: '3.9' # 3.9 is not supported by last released version of hydromt - cache-dependency-path: pyproject.toml +# - uses: actions/setup-python@v5 +# id: pip +# with: +# # caching, see https://github.com/actions/setup-python/blob/main/docs/advanced-usage.md#caching-packages +# cache: 'pip' +# python-version: '3.9' # 3.9 is not supported by last released version of hydromt +# cache-dependency-path: pyproject.toml - # true if cache-hit occurred on the primary key - - name: Cache hit - run: echo '${{ steps.pip.outputs.cache-hit }}' +# # true if cache-hit occurred on the primary key +# - name: Cache hit +# run: echo '${{ steps.pip.outputs.cache-hit }}' - # build environment with pip - - name: Install hydromt-sfincs - run: | - pip install --upgrade pip - pip install .[test,examples] - pip install git+https://github.com/Deltares/hydromt.git - pip list +# # build environment with pip +# - name: Install hydromt-sfincs +# run: | +# pip install --upgrade pip +# pip install .[test,examples] +# pip install git+https://github.com/Deltares/hydromt.git +# pip list - # run test - - name: Test - run: | - export NUMBA_DISABLE_JIT=1 - python -m pytest --verbose +# # run test +# - name: Test +# run: | +# export NUMBA_DISABLE_JIT=1 +# python -m pytest --verbose diff --git a/hydromt_sfincs/quadtree.py b/hydromt_sfincs/quadtree.py index b6f6ef9e..94086ba5 100644 --- a/hydromt_sfincs/quadtree.py +++ b/hydromt_sfincs/quadtree.py @@ -1,32 +1,27 @@ import logging import os -import time -import warnings from pathlib import Path -from typing import List, Union +from typing import Union import numpy as np -from matplotlib import path from pyproj import CRS, Transformer -np.warnings = warnings - import geopandas as gpd import pandas as pd -import shapely - -try: - import xugrid as xu -except ImportError: - raise ImportError("xugrid is not installed. Please install it first.") import xarray as xr +import xugrid as xu +import shapely +# optional dependency try: - import datashader as ds + from datashader import Canvas import datashader.transfer_functions as tf from datashader.utils import export_image + + HAS_DATASHADER = True except ImportError: - raise ImportError("datashader is not installed. Please install it first.") + HAS_DATASHADER = False + from hydromt_sfincs.subgrid import SubgridTableQuadtree @@ -39,9 +34,9 @@ def __init__(self, logger=logger): self.nr_refinement_levels = 1 self.version = 0 - self.data = None + self.data = None # placeholder for xugrid object self.subgrid = SubgridTableQuadtree() - self.df = None + self.df = None # placeholder for pandas dataframe for datashader @property def crs(self): @@ -133,6 +128,10 @@ def write(self, file_name: Union[str, Path] = "sfincs.nc", version: int = 0): ds.to_netcdf(file_name) def map_overlay(self, file_name, xlim=None, ylim=None, color="black", width=800): + # check if datashader is available + if not HAS_DATASHADER: + logger.warning("Datashader is not available. Please install datashader.") + return False if self.data is None: # No grid (yet) return False @@ -149,7 +148,7 @@ def map_overlay(self, file_name, xlim=None, ylim=None, color="black", width=800) ylim = [yl0, yl1] ratio = (ylim[1] - ylim[0]) / (xlim[1] - xlim[0]) height = int(width * ratio) - cvs = ds.Canvas( + cvs = Canvas( x_range=xlim, y_range=ylim, plot_height=height, plot_width=width ) agg = cvs.line(self.df, x=["x1", "x2"], y=["y1", "y2"], axis=1) @@ -161,19 +160,20 @@ def map_overlay(self, file_name, xlim=None, ylim=None, color="black", width=800) name = os.path.splitext(name)[0] export_image(img, name, export_path=path) return True - except Exception: + except Exception as e: + logger.warning("Failed to create map overlay. Error: %s" % e) return False def snap_to_grid(self, polyline, max_snap_distance=1.0): if len(polyline) == 0: return gpd.GeoDataFrame() geom_list = [] - for iline, line in polyline.iterrows(): + for _, line in polyline.iterrows(): geom = line["geometry"] if geom.geom_type == "LineString": geom_list.append(geom) gdf = gpd.GeoDataFrame({"geometry": geom_list}) - snapped_uds, snapped_gdf = xu.snap_to_grid( + _, snapped_gdf = xu.snap_to_grid( gdf, self.data.grid, max_snap_distance=max_snap_distance ) snapped_gdf = snapped_gdf.set_crs(self.crs) diff --git a/pyproject.toml b/pyproject.toml index fe498334..a559b2ed 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,7 +12,6 @@ authors = [ ] dependencies = [ "affine", - "datashader", "geopandas>1.0", "hydromt>=0.10, <0.11", "numba", @@ -25,7 +24,7 @@ dependencies = [ "scipy", "shapely", "xarray", - "xugrid", + "xugrid>=0.12, <1.0", ] requires-python = ">=3.9" # fix tests to support older versions readme = "README.rst" @@ -61,6 +60,9 @@ examples = [ "matplotlib", "pillow", ] +quadtree = [ + "datashader", +] full = ["hydromt_sfincs[test, doc, examples]"] From 84c96f10e1df84963bee073dccb8ea05e7127bfc Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Thu, 19 Dec 2024 19:27:49 +0100 Subject: [PATCH 10/24] add bounds property (since the original calls read_grid) and remove grid api --- hydromt_sfincs/sfincs.py | 15 +++++++++++++-- tests/test_1model_class.py | 3 +++ 2 files changed, 16 insertions(+), 2 deletions(-) diff --git a/hydromt_sfincs/sfincs.py b/hydromt_sfincs/sfincs.py index 6e582e00..8abe8a50 100644 --- a/hydromt_sfincs/sfincs.py +++ b/hydromt_sfincs/sfincs.py @@ -183,14 +183,22 @@ def region(self) -> gpd.GeoDataFrame: region = self.quadtree.exterior return region + @property + def bounds(self) -> List[float]: + """Returns the bounding box of the model grid.""" + if self.grid_type == "regular": + return self.mask.raster.bounds + elif self.grid_type == "quadtree": + return self.mask.ugrid.total_bounds + @property def bbox(self) -> tuple: - """Returns the bounding box of the active model cells.""" + """Returns the bounding box in WGS 84 of the model grid.""" if self.grid_type == "regular": return self.mask.raster.transform_bounds(4326) elif self.grid_type == "quadtree": return self.mask.ugrid.to_crs(4326).ugrid.total_bounds - + @property def crs(self) -> CRS | None: """Returns the model crs""" @@ -2814,6 +2822,9 @@ def read(self, epsg: int = None): if not isfile(fn): raise IOError(f".nc path {fn} does not exist") self.quadtree.read(file_name=fn) + # remove grid from api and model + self._API.pop("grid", None) + self._grid = None self.read_subgrid() self.read_geoms() self.read_forcing() diff --git a/tests/test_1model_class.py b/tests/test_1model_class.py index ab429604..40a74bd1 100644 --- a/tests/test_1model_class.py +++ b/tests/test_1model_class.py @@ -21,6 +21,9 @@ "ini": "sfincs_test.yml", "example": "sfincs_test", }, + "test2": { + "example": "sfincs_test_quadtree", + }, } From cd1473048a70eedc764594c9e0d9f4eff43ec61a Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Thu, 19 Dec 2024 19:36:36 +0100 Subject: [PATCH 11/24] fixing read_results and plot_basemap for quadtree models. Also fixed #133 --- hydromt_sfincs/plots.py | 111 ++++++++++++++++++++++++++++----------- hydromt_sfincs/sfincs.py | 51 +++++++++++++----- 2 files changed, 119 insertions(+), 43 deletions(-) diff --git a/hydromt_sfincs/plots.py b/hydromt_sfincs/plots.py index 7859ae8e..fe3e1a8d 100644 --- a/hydromt_sfincs/plots.py +++ b/hydromt_sfincs/plots.py @@ -1,13 +1,17 @@ """Plotting functions for SFINCS model data.""" - -from typing import Dict, List, Tuple +from typing import Dict, List, Tuple, Union import numpy as np +import logging import pandas as pd +from pyproj import CRS, Transformer import xarray as xr +import xugrid as xu from .utils import get_bounds_vector +logger = logging.getLogger(__name__) + __all__ = ["plot_forcing", "plot_basemap"] geom_style = { @@ -107,7 +111,7 @@ def plot_forcing(forcing: Dict, **kwargs): def plot_basemap( - ds: xr.Dataset, + ds: Union[xr.Dataset, xu.UgridDataset], geoms: Dict, variable: str = "dep", shaded: bool = False, @@ -121,6 +125,7 @@ def plot_basemap( geom_kwargs: Dict = {}, legend_kwargs: Dict = {}, bmap_kwargs: Dict = {}, + logger=logger, **kwargs, ): """Create basemap plot. @@ -175,10 +180,47 @@ def plot_basemap( has_cx = False # read crs and utm zone > convert to cartopy - proj_crs = ds.raster.crs + if isinstance(ds, xr.Dataset): + proj_crs = ds.raster.crs + bounds = ds.raster.box.buffer(abs(ds.raster.res[0] * 1)).total_bounds + bbox = ds.raster.transform_bounds(4326) + ratio = ds.raster.ycoords.size / (ds.raster.xcoords.size * 1.4) + elif isinstance(ds, xu.UgridDataset): + proj_crs = ds.grid.crs + bounds = ds.ugrid.total_bounds + bbox = ds.ugrid.to_crs(4326).ugrid.total_bounds + ratio = (bounds[3]-bounds[1])/((bounds[2]-bounds[0])*1.4) proj_str = proj_crs.name + extent = np.array(bounds)[[0, 2, 1, 3]] + + # Get the area of use of the Project CRS in geographic coordinates + area = proj_crs.area_of_use + west, south, east, north = area.bounds + # Transform the extent to the actual CRS + transformer = Transformer.from_crs("EPSG:4326", proj_crs, always_xy=True) + # Transform each corner of the bounding box + x_min, y_min = transformer.transform(west, south) + x_max, y_max = transformer.transform(east, north) + + # now check whether the model extent is within the extent of the crs + if extent[0] < x_min or extent[1] > x_max or extent[2] < y_min or extent[3] > y_max: + logger.info("Model domain exceeds the area of use of the CRS. " + "Reprojecting to EPSG:4326 for plotting.") + + # reproject ds to EPSG:4326 + if isinstance(ds, xr.Dataset): + ds = ds.raster.reproject('epsg:4326') + # reproject all geoms to EPSG:4326 + for name, gdf in geoms.items(): + geoms[name] = gdf.to_crs("epsg:4326") + # update proj_crs, proj_str bounds and extent + proj_crs = CRS.from_epsg(4326) + proj_str = proj_crs.name + bounds = bbox + extent = np.array(bounds)[[0, 2, 1, 3]] + if proj_crs.is_projected and proj_crs.to_epsg() is not None: - crs = ccrs.epsg(ds.raster.crs.to_epsg()) + crs = ccrs.epsg(proj_crs.to_epsg()) unit = proj_crs.axis_info[0].unit_name unit = "m" if unit == "metre" else unit xlab, ylab = f"x [{unit}] - {proj_str}", f"y [{unit}]" @@ -187,12 +229,9 @@ def plot_basemap( xlab, ylab = f"lon [deg] - {proj_str}", "lat [deg]" else: raise ValueError("Unsupported CRS") - bounds = ds.raster.box.buffer(abs(ds.raster.res[0] * 1)).total_bounds - extent = np.array(bounds)[[0, 2, 1, 3]] # create fig with geo-axis and set background if figsize is None: - ratio = ds.raster.ycoords.size / (ds.raster.xcoords.size * 1.4) figsize = (6, 6 * ratio) fig = plt.figure(figsize=figsize) ax = plt.subplot(projection=crs) @@ -200,7 +239,7 @@ def plot_basemap( if bmap is not None: if zoomlevel == "auto": # auto zoomlevel c = 2 * np.pi * 6378137 # Earth circumference - lat = np.array(ds.raster.transform_bounds(4326))[[1, 3]].mean() + lat = np.array(bbox)[[1, 3]].mean() # max 4 x 4 tiles per image tile_size = max(bounds[2] - bounds[0], bounds[3] - bounds[1]) / 4 if proj_crs.is_geographic: @@ -247,30 +286,35 @@ def plot_basemap( kwargs0["cbar_kwargs"].update(ticks=[1, 2, 3]) if variable in ds: - da = ds[variable].raster.mask_nodata() + da = ds[variable] if "msk" in ds and np.any(ds["msk"] > 0): da = da.where(ds["msk"] > 0) - if da.raster.rotation != 0 and "xc" in da.coords and "yc" in da.coords: - da.plot(transform=crs, x="xc", y="yc", ax=ax, zorder=1, **kwargs0) - else: - da.plot.imshow(transform=crs, ax=ax, zorder=1, **kwargs0) - if shaded and variable == "dep" and da.raster.rotation == 0: - ls = colors.LightSource(azdeg=315, altdeg=45) - dx, dy = da.raster.res - _rgb = ls.shade( - da.fillna(0).values, - norm=kwargs0["norm"], - cmap=kwargs0["cmap"], - blend_mode="soft", - dx=dx, - dy=dy, - vert_exag=2, - ) - rgb = xr.DataArray( - dims=("y", "x", "rgb"), data=_rgb, coords=da.raster.coords - ) - rgb = xr.where(np.isnan(da), np.nan, rgb) - rgb.plot.imshow(transform=crs, ax=ax, zorder=1) + if isinstance(da, xr.DataArray): + # mask_nodata converts it to an xr.DataArray, so performed inside if-else statement + da = da.raster.mask_nodata() + if da.raster.rotation != 0 and "xc" in da.coords and "yc" in da.coords: + da.plot(transform=crs, x="xc", y="yc", ax=ax, zorder=1, **kwargs0) + else: + da.plot.imshow(transform=crs, ax=ax, zorder=1, **kwargs0) + if shaded and variable == "dep" and da.raster.rotation == 0: + ls = colors.LightSource(azdeg=315, altdeg=45) + dx, dy = da.raster.res + _rgb = ls.shade( + da.fillna(0).values, + norm=kwargs0["norm"], + cmap=kwargs0["cmap"], + blend_mode="soft", + dx=dx, + dy=dy, + vert_exag=2, + ) + rgb = xr.DataArray( + dims=("y", "x", "rgb"), data=_rgb, coords=da.raster.coords + ) + rgb = xr.where(np.isnan(da), np.nan, rgb) + rgb.plot.imshow(transform=crs, ax=ax, zorder=1) + elif isinstance(da, xu.UgridDataArray): + da.ugrid.plot(transform=crs, ax=ax, zorder=1, **kwargs0) # geometry plotting and annotate kwargs for k, d in geom_kwargs.items(): @@ -290,6 +334,11 @@ def plot_basemap( "No 'msk' (sfincs.msk) found in ds required to plot the model bounds " "Set plot_bounds=False or add 'msk' to ds" ) + elif plot_bounds and isinstance(ds, xu.UgridDataset): + raise NotImplementedError( + "Plotting of the boundaries for quadtree grids is not yet implemented. " + "Set plot_bounds=False to proceed." + ) elif plot_bounds and (ds["msk"] >= 1).any(): gdf_msk = get_bounds_vector(ds["msk"]) gdf_msk2 = gdf_msk[gdf_msk["value"] == 2] diff --git a/hydromt_sfincs/sfincs.py b/hydromt_sfincs/sfincs.py index 8abe8a50..39175ad4 100644 --- a/hydromt_sfincs/sfincs.py +++ b/hydromt_sfincs/sfincs.py @@ -15,7 +15,8 @@ import hydromt import numpy as np import pandas as pd -import xarray as xr +import xarray as xr +import xugrid as xu from xugrid.core.wrap import UgridDataArray from hydromt.models.model_grid import GridModel from hydromt.vector import GeoDataArray, GeoDataset @@ -2775,14 +2776,21 @@ def plot_basemap( if isinstance(variable, xr.DataArray): ds = variable.to_dataset() variable = variable.name + elif isinstance(variable, xu.UgridDataArray): + ds = variable.to_dataset() + variable = variable.name elif variable.startswith("subgrid.") and self.subgrid is not None: ds = self.subgrid.copy() variable = variable.replace("subgrid.", "") else: - ds = self.grid.copy() + if self.grid_type == "regular": + ds = self.grid.copy() + elif self.grid_type == "quadtree": + ds = self.quadtree.data.copy() if "msk" not in ds: ds["msk"] = self.mask + fig, ax = plots.plot_basemap( ds, sg, @@ -2797,6 +2805,7 @@ def plot_basemap( geom_names=geom_names, geom_kwargs=geom_kwargs, legend_kwargs=legend_kwargs, + logger=self.logger, **kwargs, ) @@ -3400,16 +3409,34 @@ def read_results( if not isabs(fn_map): fn_map = join(self.root, fn_map) if isfile(fn_map): - ds_face, ds_edge = utils.read_sfincs_map_results( - fn_map, - ds_like=self.grid, # TODO: fix for quadtree - drop=drop, - logger=self.logger, - **kwargs, - ) - # save as dict of DataArray - self.set_results(ds_face, split_dataset=True) - self.set_results(ds_edge, split_dataset=True) + if self.grid_type == "regular": + ds_face, ds_edge = utils.read_sfincs_map_results( + fn_map, + ds_like=self.grid, # TODO: fix for quadtree + drop=drop, + logger=self.logger, + **kwargs, + ) + # save as dict of DataArray + self.set_results(ds_face, split_dataset=True) + self.set_results(ds_edge, split_dataset=True) + elif self.grid_type == "quadtree": + dsu = xu.open_dataset( + fn_map, + chunks={"time": chunksize}, + ) + + # get crs variable, drop it and set it correctly + crs = dsu["crs"].values + dsu.drop_vars("crs") + dsu.grid.set_crs(CRS.from_user_input(crs)) + + # NOTE the set_results of the model api doesnt support ugrid + self._initialize_results() + for name in dsu.variables: + if name in self._results: + self.logger.warning(f"Replacing result: {name}") + self._results[name] = dsu[name] if not isabs(fn_his): fn_his = join(self.root, fn_his) From 2446903dbed8f3aa4af1ba24d4b9ee64b783f6e3 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Thu, 19 Dec 2024 20:26:12 +0100 Subject: [PATCH 12/24] add quadtree IO tests --- hydromt_sfincs/sfincs.py | 2 + .../data/sfincs_test_quadtree/gis/bnd.geojson | 9 ++ .../sfincs_test_quadtree/gis/region.geojson | 8 ++ tests/data/sfincs_test_quadtree/sfincs.bnd | 2 + tests/data/sfincs_test_quadtree/sfincs.bzs | 3 + tests/data/sfincs_test_quadtree/sfincs.inp | 39 +++++++ tests/data/sfincs_test_quadtree/sfincs.nc | Bin 0 -> 667066 bytes .../data/sfincs_test_quadtree/sfincs_log.txt | 102 ++++++++++++++++++ tests/data/sfincs_test_quadtree/sfincs_map.nc | Bin 0 -> 286588 bytes .../sfincs_test_quadtree/sfincs_subgrid.nc | Bin 0 -> 2925789 bytes tests/test_1model_class.py | 18 ++-- tests/test_quadtree.py | 40 +++++++ 12 files changed, 217 insertions(+), 6 deletions(-) create mode 100644 tests/data/sfincs_test_quadtree/gis/bnd.geojson create mode 100644 tests/data/sfincs_test_quadtree/gis/region.geojson create mode 100644 tests/data/sfincs_test_quadtree/sfincs.bnd create mode 100644 tests/data/sfincs_test_quadtree/sfincs.bzs create mode 100644 tests/data/sfincs_test_quadtree/sfincs.inp create mode 100644 tests/data/sfincs_test_quadtree/sfincs.nc create mode 100644 tests/data/sfincs_test_quadtree/sfincs_log.txt create mode 100644 tests/data/sfincs_test_quadtree/sfincs_map.nc create mode 100644 tests/data/sfincs_test_quadtree/sfincs_subgrid.nc create mode 100644 tests/test_quadtree.py diff --git a/hydromt_sfincs/sfincs.py b/hydromt_sfincs/sfincs.py index 39175ad4..dfce8938 100644 --- a/hydromt_sfincs/sfincs.py +++ b/hydromt_sfincs/sfincs.py @@ -3426,6 +3426,8 @@ def read_results( chunks={"time": chunksize}, ) + # set coords + dsu = dsu.set_coords(["mesh2d_node_x","mesh2d_node_y"]) # get crs variable, drop it and set it correctly crs = dsu["crs"].values dsu.drop_vars("crs") diff --git a/tests/data/sfincs_test_quadtree/gis/bnd.geojson b/tests/data/sfincs_test_quadtree/gis/bnd.geojson new file mode 100644 index 00000000..e0479012 --- /dev/null +++ b/tests/data/sfincs_test_quadtree/gis/bnd.geojson @@ -0,0 +1,9 @@ +{ +"type": "FeatureCollection", +"name": "bnd", +"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:EPSG::32633" } }, +"features": [ +{ "type": "Feature", "properties": { "stations": 1 }, "geometry": { "type": "Point", "coordinates": [ 319526.0, 5041108.0 ] } }, +{ "type": "Feature", "properties": { "stations": 2 }, "geometry": { "type": "Point", "coordinates": [ 329195.0, 5046243.0 ] } } +] +} diff --git a/tests/data/sfincs_test_quadtree/gis/region.geojson b/tests/data/sfincs_test_quadtree/gis/region.geojson new file mode 100644 index 00000000..b55ccd4e --- /dev/null +++ b/tests/data/sfincs_test_quadtree/gis/region.geojson @@ -0,0 +1,8 @@ +{ +"type": "FeatureCollection", +"name": "region", +"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:EPSG::32633" } }, +"features": [ +{ "type": "Feature", "properties": { "value": 1.0 }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 324990.358609079034068, 5044296.783995999023318 ], [ 324967.659084092068952, 5044341.334322208538651 ], [ 324878.558431673212908, 5044295.935272234492004 ], [ 324855.858906686247792, 5044340.485598444007337 ], 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+1,2 @@ +319526.0 5041108.0 +329195.0 5046243.0 diff --git a/tests/data/sfincs_test_quadtree/sfincs.bzs b/tests/data/sfincs_test_quadtree/sfincs.bzs new file mode 100644 index 00000000..e55f3c94 --- /dev/null +++ b/tests/data/sfincs_test_quadtree/sfincs.bzs @@ -0,0 +1,3 @@ + 0.0 0.00 0.25 +43200.0 0.75 1.00 +86400.0 0.00 0.25 diff --git a/tests/data/sfincs_test_quadtree/sfincs.inp b/tests/data/sfincs_test_quadtree/sfincs.inp new file mode 100644 index 00000000..d9870053 --- /dev/null +++ b/tests/data/sfincs_test_quadtree/sfincs.inp @@ -0,0 +1,39 @@ +epsg = 32633 +latitude = 0.0 +tref = 20100201 000000 +tstart = 20100201 000000 +tstop = 20100202 000000 +tspinup = 3600 +dtout = 3600.0 +dthisout = 600.0 +dtrstout = 0.0 +dtmaxout = 86400 +trstout = -999.0 +dtwnd = 1800.0 +alpha = 0.5 +theta = 1.0 +huthresh = 0.01 +manning_land = 0.04 +manning_sea = 0.02 +rgh_lev_land = 0.0 +zsini = 0.0 +rhoa = 1.25 +rhow = 1024.0 +dtmax = 60.0 +advection = 1 +baro = 1 +pavbnd = 0 +gapres = 101200.0 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.:::::::::...:@@@..@@..@@@:..:::::::::.. + ............@@.@@..@@..@@.@@............ + ^^^~~^^~~^^@@..............@@^^^~^^^~~^^ + .::::::::::@@..............@@.:::::::::. + .......:.@@.....@.....@....@@.:....... + .::....@@......@.@@@.@....@@.....::. + .:::~@@.:...:.@@...@@.:.:.@@~::::. + .::~@@@@@@@@@@.....@@@@@@@@@~::. + ..:~~~~~~~:.......:~~~~~~~:.. + ...................... + .............. + + ----------------------------------------- + + Build-Revision: $Rev: v2.1.2-Dollerup + Build-Date: $Date: 2024-11-22 + + Reading input file ... + Info : Running SFINCS in subgrid mode ... + Turning on process: Viscosity + Advection scheme : First-order upwind + Reading meteo data ... + Info : Preparing SFINCS grid on quadtree mesh ... + Reading QuadTree netCDF file ... + Quadtree grid info - nr_levels : 3 + Quadtree grid info - x0 : 318219.0 + Quadtree grid info - y0 : 5040846. + Quadtree grid info - dx : 200.0000 + Quadtree grid info - dy : 200.0000 + Quadtree grid info - mmax : 64 + Quadtree grid info - nmax : 24 + Quadtree grid info - rotation : 27.00200 + Number of refinement transitions : 379 + Number of active z points : 4226 + Number of active u/v points : 8526 + Number of cells in level 1 : 899 + Number of cells in level 2 : 1749 + Number of cells in level 3 : 1804 + Viscosity - nuvisc = [ 0.5000000 - 2.000000 ] + Reading sub-grid netCDF file ... + Number of subgrid levels : 10 + Reading water level boundaries ... + + Initializing output ... + + ---------- Starting simulation ---------- + ---- Using 8 of 8 available threads ----- + + 0% complete, - s remaining ... + 5% complete, 3.9 s remaining ... + 10% complete, 2.7 s remaining ... + 15% complete, 2.1 s remaining ... + 20% complete, 1.8 s remaining ... + 25% complete, 1.8 s remaining ... + 30% complete, 1.8 s remaining ... + 35% complete, 1.7 s remaining ... + 40% complete, 1.5 s remaining ... + 45% complete, 1.3 s remaining ... + 50% complete, 1.2 s remaining ... + 55% complete, 1.0 s remaining ... + 60% complete, 0.9 s remaining ... + 65% complete, 0.8 s remaining ... + 70% complete, 0.7 s remaining ... + 75% complete, 0.6 s remaining ... + 80% complete, 0.5 s remaining ... + 85% complete, 0.4 s remaining ... + 90% complete, 0.2 s remaining ... + 95% complete, 0.1 s remaining ... + 100% complete, 0.0 s remaining ... + + ---------- Simulation finished ---------- + + Total time : 2.503 + Total simulation time : 2.433 + Time in input : 0.070 + Time in boundaries : 0.058 ( 2.4%) + Time in momentum : 1.781 ( 73.2%) + Time in continuity : 0.551 ( 22.6%) + Time in output : 0.023 ( 0.9%) + + Average time step (s) : 3.733 + + ---------- Closing off SFINCS ----------- diff --git a/tests/data/sfincs_test_quadtree/sfincs_map.nc b/tests/data/sfincs_test_quadtree/sfincs_map.nc new file mode 100644 index 0000000000000000000000000000000000000000..ef0cd74eaa38838070b763a06c9f6570909043eb GIT binary patch literal 286588 zcmeEv30zHG*Z4^hnh2%RKnQ70sU)P75JIKlYPhBG*1gTC%%lh*8qEq7rHBSJ@n|4v 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assert len(non_compliant_list) == 0 - # pass def test_states(mod): @@ -398,20 +401,23 @@ def test_forcing_io(tmpdir): ) -def test_read_results(): - root = TESTMODELDIR +@pytest.mark.parametrize("case", list(_cases.keys())) +def test_read_results(case): + root = join(TESTDATADIR, _cases[case]["example"]) mod = SfincsModel(root=root, mode="r") assert all([v in mod.results for v in ["zs", "zsmax", "inp"]]) - -def test_plots(mod): +@pytest.mark.parametrize("case", list(_cases.keys())) +def test_plots(case): + root = join(TESTDATADIR, _cases[case]["example"]) + mod = SfincsModel(root=root, mode="r") mod.plot_forcing(fn_out="forcing.png") assert isfile(join(mod.root, "figs", "forcing.png")) mod.plot_basemap(fn_out="basemap.png") assert isfile(join(mod.root, "figs", "basemap.png")) -@pytest.mark.parametrize("case", list(_cases.keys())) +@pytest.mark.parametrize("case", list(_cases.keys())[:1]) def test_model_build(tmpdir, case): # compare results with model from examples folder root = str(tmpdir.join(case)) diff --git a/tests/test_quadtree.py b/tests/test_quadtree.py new file mode 100644 index 00000000..7ed39648 --- /dev/null +++ b/tests/test_quadtree.py @@ -0,0 +1,40 @@ +from os.path import join, dirname, abspath +import numpy as np +from pyproj import CRS + +from hydromt_sfincs.quadtree import QuadtreeGrid + +TESTDATADIR = join(dirname(abspath(__file__)), "data") + +def test_quadtree_io(tmpdir): + # Initialize a QuadtreeGrid object + qtr = QuadtreeGrid() + # Read a quadtree netcdf file + qtr.read(join(TESTDATADIR, "sfincs_test_quadtree", "sfincs.nc")) + # Check the face coordinates + face_coordinates = qtr.face_coordinates + assert len(face_coordinates[0] == 4452) + # Check the msk variable + msk = qtr.data["msk"] + assert np.sum(msk.values) == 4298 + # Check the crs + crs = qtr.crs + assert crs == CRS.from_epsg(32633) + + # now write the quadtree to a new file + fn = tmpdir.join("sfincs_out.nc") + qtr.write(fn) + + # read the new file and check the msk variable + qtr2 = QuadtreeGrid() + qtr2.read(fn) + # assert the crs is the same + assert qtr2.crs == qtr.crs + # assert the msk variable is the same + assert np.sum(qtr2.data["msk"].values) == 4298 + # assert the dep variable is the same + assert np.sum(qtr.data["dep"].values) == np.sum(qtr2.data["dep"].values) + + + + From 7c6ebedfaae6bcbf2418c5c549b881bb004b3cb0 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 20 Dec 2024 09:38:16 +0100 Subject: [PATCH 13/24] extended tests for quadtree io, plot_basemap and read_results --- hydromt_sfincs/sfincs.py | 5 +++++ tests/test_1model_class.py | 22 ++++++++++++++++------ 2 files changed, 21 insertions(+), 6 deletions(-) diff --git a/hydromt_sfincs/sfincs.py b/hydromt_sfincs/sfincs.py index dfce8938..a647a904 100644 --- a/hydromt_sfincs/sfincs.py +++ b/hydromt_sfincs/sfincs.py @@ -3409,6 +3409,11 @@ def read_results( if not isabs(fn_map): fn_map = join(self.root, fn_map) if isfile(fn_map): + if self.grid_type is None: + self.logger.warning( + "Grid type not known, trying to read from config file. " + ) + self.read_config() if self.grid_type == "regular": ds_face, ds_edge = utils.read_sfincs_map_results( fn_map, diff --git a/tests/test_1model_class.py b/tests/test_1model_class.py index 13c8f36e..90b604a0 100644 --- a/tests/test_1model_class.py +++ b/tests/test_1model_class.py @@ -405,16 +405,26 @@ def test_forcing_io(tmpdir): def test_read_results(case): root = join(TESTDATADIR, _cases[case]["example"]) mod = SfincsModel(root=root, mode="r") + mod.read_results() assert all([v in mod.results for v in ["zs", "zsmax", "inp"]]) @pytest.mark.parametrize("case", list(_cases.keys())) -def test_plots(case): +def test_plots(case, tmpdir): root = join(TESTDATADIR, _cases[case]["example"]) - mod = SfincsModel(root=root, mode="r") - mod.plot_forcing(fn_out="forcing.png") - assert isfile(join(mod.root, "figs", "forcing.png")) - mod.plot_basemap(fn_out="basemap.png") - assert isfile(join(mod.root, "figs", "basemap.png")) + mod = SfincsModel(root=root, mode="r") + mod.read() + mod.plot_forcing(fn_out=join(tmpdir,"forcing.png")) + assert isfile(join(tmpdir,"forcing.png")) + fn_out = join(tmpdir, "basemap.png") + if case == "test2": + mod.plot_basemap( + fn_out=fn_out, + bmap="sat", + plot_bounds=False, # does not work yet for quadtree + ) + else: + mod.plot_basemap(fn_out=fn_out, bmap="sat") + assert isfile(fn_out) @pytest.mark.parametrize("case", list(_cases.keys())[:1]) From 584ca560047f43e593ab2c53e056d91a5806d377 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 20 Dec 2024 09:55:30 +0100 Subject: [PATCH 14/24] imrpoved downscaling methods (both bugfixes and allow for ugrids) --- hydromt_sfincs/utils.py | 80 ++++++++++++++++++++++++++++++----------- 1 file changed, 59 insertions(+), 21 deletions(-) diff --git a/hydromt_sfincs/utils.py b/hydromt_sfincs/utils.py index 84fb9d1e..c7d90ef2 100644 --- a/hydromt_sfincs/utils.py +++ b/hydromt_sfincs/utils.py @@ -19,6 +19,7 @@ from rasterio.rio.overview import get_maximum_overview_level from rasterio.windows import Window import xarray as xr +import xugrid as xu from hydromt.io import write_xy from pyproj.crs.crs import CRS from shapely.geometry import LineString, Polygon @@ -853,7 +854,7 @@ def read_sfincs_his_results( def downscale_floodmap( - zsmax: xr.DataArray, + zsmax: Union[xr.DataArray, xu.UgridDataArray], dep: Union[Path, str, xr.DataArray], hmin: float = 0.05, gdf_mask: gpd.GeoDataFrame = None, @@ -900,8 +901,13 @@ def downscale_floodmap( hydromt.raster.RasterDataArray.to_raster """ # get maximum water level - timedim = set(zsmax.dims) - set(zsmax.raster.dims) + if isinstance(zsmax, xu.UgridDataArray): + timedim = set(zsmax.dims) - set(zsmax.ugrid.grid.dims) + else: + timedim = set(zsmax.dims) - set(zsmax.raster.dims) if timedim: + logger.info(f"Multiple values present in {timedim} dimension, + downscaling floodmap for maximum water level over {timedim}.") zsmax = zsmax.max(timedim) # Hydromt expects a string so if a Path is provided, convert to str @@ -1005,21 +1011,36 @@ def downscale_floodmap( if np.all(np.isnan(block_data)): continue - # TODO directly use the rasterio warp method rather than the raster.reproject see PR #145 - # Convert row and column indices to pixel coordinates - cols, rows = np.indices((bm1 - bm0, bn1 - bn0)) - x_coords, y_coords = src.transform * (cols + bm0, rows + bn0) - - # Create xarray DataArray with coordinates - block_dep = xr.DataArray( - block_data.squeeze().transpose(), - dims=("y", "x"), - coords={ - "yc": (("y", "x"), y_coords), - "xc": (("y", "x"), x_coords), - }, - ) - block_dep.raster.set_crs(src.crs) + # Determine if rotation is zero + if src.transform[1] == 0 and src.transform[3] == 0: # No rotation + # Compute the 1D coordinates for x and y using the affine transformation + x_coords = src.transform[2] + (np.arange(bm0, bm1) + 0.5) * src.transform[0] + y_coords = src.transform[5] + (np.arange(bn0, bn1) + 0.5) * src.transform[4] + + # Create xarray DataArray with coordinates + block_dep = xr.DataArray( + block_data.squeeze(), + dims=("y", "x"), + coords = { + "y": ("y", y_coords), + "x": ("x", x_coords), + }, + ) + else: + # Convert row and column indices to pixel coordinates + cols, rows = np.meshgrid(np.arange(bm0, bm1), np.arange(bn0, bn1)) + x_coords, y_coords = src.transform * (cols + 0.5, rows + 0.5) + + # Create xarray DataArray with coordinates + block_dep = xr.DataArray( + block_data.squeeze(), + dims=("y", "x"), + coords={ + "yc": (("y", "x"), y_coords), + "xc": (("y", "x"), x_coords), + }, + ) + block_dep.raster.set_crs(src.crs.to_epsg()) block_hmax = _downscale_floodmap_da( zsmax=zsmax, @@ -1031,7 +1052,7 @@ def downscale_floodmap( with rasterio.open(floodmap_fn, "r+") as fm_tif: fm_tif.write( - np.transpose(block_hmax.values), + block_hmax.values, window=window, indexes=1, ) @@ -1149,7 +1170,7 @@ def build_overviews( def _downscale_floodmap_da( - zsmax: xr.DataArray, + zsmax: Union[xr.DataArray, xu.UgridDataArray], dep: xr.DataArray, hmin: float = 0.05, gdf_mask: gpd.GeoDataFrame = None, @@ -1168,10 +1189,27 @@ def _downscale_floodmap_da( gdf_mask : gpd.GeoDataFrame, optional Geodataframe with polygons to mask floodmap, example containing the landarea, by default None Note that the area outside the polygons is set to nodata. - """ + """ # interpolate zsmax to dep grid - zsmax = zsmax.raster.reproject_like(dep, method=reproj_method) + if isinstance(zsmax, xr.DataArray): + zsmax = zsmax.raster.reproject_like(dep, method=reproj_method) + + elif isinstance(zsmax, xu.UgridDataArray): + # if non-rotated grid, use xugrid rasterize_like + if dep.raster.transform[1] == 0 and dep.raster.transform[3] == 0: + zsmax = zsmax.ugrid.rasterize_like(dep) + # if rotated grid, use xugrid regridder + else: + # need to convert dep to unstructured to enable xugrid regridder + uda_dep = xu.UgridDataArray.from_structured( + dep, "xc", "yc" + ) + regridder = xu.CentroidLocatorRegridder(source=zsmax, target=uda_dep) + result = regridder.regrid(zsmax) + # map back to structured + zsmax = dep.copy(data=result.values.reshape(dep.shape)) + zsmax = zsmax.raster.mask_nodata() # make sure nodata is nan # get flood depth From abefe02b9ce87b97913db1fda502401dfad81d72 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 20 Dec 2024 10:06:04 +0100 Subject: [PATCH 15/24] pre-commit linting --- hydromt_sfincs/sfincs.py | 13 ++++++------- hydromt_sfincs/utils.py | 34 ++++++++++++++++++++-------------- tests/test_1model_class.py | 17 +++++++++-------- tests/test_quadtree.py | 5 +---- 4 files changed, 36 insertions(+), 33 deletions(-) diff --git a/hydromt_sfincs/sfincs.py b/hydromt_sfincs/sfincs.py index a647a904..590fc386 100644 --- a/hydromt_sfincs/sfincs.py +++ b/hydromt_sfincs/sfincs.py @@ -15,7 +15,7 @@ import hydromt import numpy as np import pandas as pd -import xarray as xr +import xarray as xr import xugrid as xu from xugrid.core.wrap import UgridDataArray from hydromt.models.model_grid import GridModel @@ -191,7 +191,7 @@ def bounds(self) -> List[float]: return self.mask.raster.bounds elif self.grid_type == "quadtree": return self.mask.ugrid.total_bounds - + @property def bbox(self) -> tuple: """Returns the bounding box in WGS 84 of the model grid.""" @@ -199,7 +199,7 @@ def bbox(self) -> tuple: return self.mask.raster.transform_bounds(4326) elif self.grid_type == "quadtree": return self.mask.ugrid.to_crs(4326).ugrid.total_bounds - + @property def crs(self) -> CRS | None: """Returns the model crs""" @@ -2790,7 +2790,6 @@ def plot_basemap( if "msk" not in ds: ds["msk"] = self.mask - fig, ax = plots.plot_basemap( ds, sg, @@ -3412,7 +3411,7 @@ def read_results( if self.grid_type is None: self.logger.warning( "Grid type not known, trying to read from config file. " - ) + ) self.read_config() if self.grid_type == "regular": ds_face, ds_edge = utils.read_sfincs_map_results( @@ -3430,9 +3429,9 @@ def read_results( fn_map, chunks={"time": chunksize}, ) - + # set coords - dsu = dsu.set_coords(["mesh2d_node_x","mesh2d_node_y"]) + dsu = dsu.set_coords(["mesh2d_node_x", "mesh2d_node_y"]) # get crs variable, drop it and set it correctly crs = dsu["crs"].values dsu.drop_vars("crs") diff --git a/hydromt_sfincs/utils.py b/hydromt_sfincs/utils.py index c7d90ef2..1d85451d 100644 --- a/hydromt_sfincs/utils.py +++ b/hydromt_sfincs/utils.py @@ -906,8 +906,8 @@ def downscale_floodmap( else: timedim = set(zsmax.dims) - set(zsmax.raster.dims) if timedim: - logger.info(f"Multiple values present in {timedim} dimension, - downscaling floodmap for maximum water level over {timedim}.") + logger.info(f"Multiple values present in {timedim} dimension.") + logger.info(f"Downscaling floodmap for maximum water level over {timedim}.") zsmax = zsmax.max(timedim) # Hydromt expects a string so if a Path is provided, convert to str @@ -1014,21 +1014,29 @@ def downscale_floodmap( # Determine if rotation is zero if src.transform[1] == 0 and src.transform[3] == 0: # No rotation # Compute the 1D coordinates for x and y using the affine transformation - x_coords = src.transform[2] + (np.arange(bm0, bm1) + 0.5) * src.transform[0] - y_coords = src.transform[5] + (np.arange(bn0, bn1) + 0.5) * src.transform[4] + x_coords = ( + src.transform[2] + + (np.arange(bm0, bm1) + 0.5) * src.transform[0] + ) + y_coords = ( + src.transform[5] + + (np.arange(bn0, bn1) + 0.5) * src.transform[4] + ) # Create xarray DataArray with coordinates block_dep = xr.DataArray( block_data.squeeze(), dims=("y", "x"), - coords = { + coords={ "y": ("y", y_coords), "x": ("x", x_coords), - }, + }, ) else: # Convert row and column indices to pixel coordinates - cols, rows = np.meshgrid(np.arange(bm0, bm1), np.arange(bn0, bn1)) + cols, rows = np.meshgrid( + np.arange(bm0, bm1), np.arange(bn0, bn1) + ) x_coords, y_coords = src.transform * (cols + 0.5, rows + 0.5) # Create xarray DataArray with coordinates @@ -1189,27 +1197,25 @@ def _downscale_floodmap_da( gdf_mask : gpd.GeoDataFrame, optional Geodataframe with polygons to mask floodmap, example containing the landarea, by default None Note that the area outside the polygons is set to nodata. - """ + """ # interpolate zsmax to dep grid if isinstance(zsmax, xr.DataArray): zsmax = zsmax.raster.reproject_like(dep, method=reproj_method) - + elif isinstance(zsmax, xu.UgridDataArray): # if non-rotated grid, use xugrid rasterize_like - if dep.raster.transform[1] == 0 and dep.raster.transform[3] == 0: + if dep.raster.transform[1] == 0 and dep.raster.transform[3] == 0: zsmax = zsmax.ugrid.rasterize_like(dep) # if rotated grid, use xugrid regridder else: # need to convert dep to unstructured to enable xugrid regridder - uda_dep = xu.UgridDataArray.from_structured( - dep, "xc", "yc" - ) + uda_dep = xu.UgridDataArray.from_structured(dep, "xc", "yc") regridder = xu.CentroidLocatorRegridder(source=zsmax, target=uda_dep) result = regridder.regrid(zsmax) # map back to structured zsmax = dep.copy(data=result.values.reshape(dep.shape)) - + zsmax = zsmax.raster.mask_nodata() # make sure nodata is nan # get flood depth diff --git a/tests/test_1model_class.py b/tests/test_1model_class.py index 90b604a0..8a9403c4 100644 --- a/tests/test_1model_class.py +++ b/tests/test_1model_class.py @@ -23,7 +23,7 @@ }, "test2": { "example": "sfincs_test_quadtree", - }, + }, } @@ -408,20 +408,21 @@ def test_read_results(case): mod.read_results() assert all([v in mod.results for v in ["zs", "zsmax", "inp"]]) + @pytest.mark.parametrize("case", list(_cases.keys())) def test_plots(case, tmpdir): root = join(TESTDATADIR, _cases[case]["example"]) mod = SfincsModel(root=root, mode="r") - mod.read() - mod.plot_forcing(fn_out=join(tmpdir,"forcing.png")) - assert isfile(join(tmpdir,"forcing.png")) + mod.read() + mod.plot_forcing(fn_out=join(tmpdir, "forcing.png")) + assert isfile(join(tmpdir, "forcing.png")) fn_out = join(tmpdir, "basemap.png") if case == "test2": mod.plot_basemap( - fn_out=fn_out, - bmap="sat", - plot_bounds=False, # does not work yet for quadtree - ) + fn_out=fn_out, + bmap="sat", + plot_bounds=False, # does not work yet for quadtree + ) else: mod.plot_basemap(fn_out=fn_out, bmap="sat") assert isfile(fn_out) diff --git a/tests/test_quadtree.py b/tests/test_quadtree.py index 7ed39648..711e4552 100644 --- a/tests/test_quadtree.py +++ b/tests/test_quadtree.py @@ -6,6 +6,7 @@ TESTDATADIR = join(dirname(abspath(__file__)), "data") + def test_quadtree_io(tmpdir): # Initialize a QuadtreeGrid object qtr = QuadtreeGrid() @@ -34,7 +35,3 @@ def test_quadtree_io(tmpdir): assert np.sum(qtr2.data["msk"].values) == 4298 # assert the dep variable is the same assert np.sum(qtr.data["dep"].values) == np.sum(qtr2.data["dep"].values) - - - - From be8e8118680614c22bc64664187117f5ef481838 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 20 Dec 2024 10:06:37 +0100 Subject: [PATCH 16/24] pre-commit test-data --- .../data/sfincs_test_quadtree/sfincs_log.txt | 56 +++++++++---------- 1 file changed, 28 insertions(+), 28 deletions(-) diff --git a/tests/data/sfincs_test_quadtree/sfincs_log.txt b/tests/data/sfincs_test_quadtree/sfincs_log.txt index 0a348172..e768ec72 100644 --- a/tests/data/sfincs_test_quadtree/sfincs_log.txt +++ b/tests/data/sfincs_test_quadtree/sfincs_log.txt @@ -1,33 +1,33 @@ ----------- Welcome to SFINCS ----------- - @@@@@ @@@@@@@ @@ @@ @@ @@@@ @@@@@ + @@@@@ @@@@@@@ @@ @@ @@ @@@@ @@@@@ @@@ @@@ @@@@@@@ @@ @@@ @@ @@@@@@@ @@@ @@@ - @@@ @@ @@ @@@ @@ @@ @@ @@@ - @@@@@ @@@@@@ @@ @@@@@@ @@ @@@@@ + @@@ @@ @@ @@@ @@ @@ @@ @@@ + @@@@@ @@@@@@ @@ @@@@@@ @@ @@@@@ @@@ @@ @@ @@ @@@ @@ @@ @@@ @@@ @@@ @@ @@ @@ @@ @@@@@@ @@@ @@@ - @@@@@ @@ @@ @@ @ @@@@ @@@@@ + @@@@@ @@ @@ @@ @ @@@@ @@@@@ - .............. - ......:@@@@@@@@:...... - ..::::..@@........@@.:::::.. - ..:::::..@@..::..::..@@.::::::.. - .::::::..@@............@@.:::::::. - .::::::..@@..............@@.:::::::. - .::::::::..@@............@@..::::::::. - .:::::::::...@@.@..@@..@.@@..::::::::::. - .:::::::::...:@@@..@@..@@@:..:::::::::.. - ............@@.@@..@@..@@.@@............ - ^^^~~^^~~^^@@..............@@^^^~^^^~~^^ - .::::::::::@@..............@@.:::::::::. - .......:.@@.....@.....@....@@.:....... - .::....@@......@.@@@.@....@@.....::. - .:::~@@.:...:.@@...@@.:.:.@@~::::. - .::~@@@@@@@@@@.....@@@@@@@@@~::. - ..:~~~~~~~:.......:~~~~~~~:.. - ...................... - .............. + .............. + ......:@@@@@@@@:...... + ..::::..@@........@@.:::::.. + ..:::::..@@..::..::..@@.::::::.. + .::::::..@@............@@.:::::::. + .::::::..@@..............@@.:::::::. + .::::::::..@@............@@..::::::::. + .:::::::::...@@.@..@@..@.@@..::::::::::. + .:::::::::...:@@@..@@..@@@:..:::::::::.. + ............@@.@@..@@..@@.@@............ + ^^^~~^^~~^^@@..............@@^^^~^^^~~^^ + .::::::::::@@..............@@.:::::::::. + .......:.@@.....@.....@....@@.:....... + .::....@@......@.@@@.@....@@.....::. + .:::~@@.:...:.@@...@@.:.:.@@~::::. + .::~@@@@@@@@@@.....@@@@@@@@@~::. + ..:~~~~~~~:.......:~~~~~~~:.. + ...................... + .............. ----------------------------------------- @@ -42,13 +42,13 @@ Info : Preparing SFINCS grid on quadtree mesh ... Reading QuadTree netCDF file ... Quadtree grid info - nr_levels : 3 - Quadtree grid info - x0 : 318219.0 - Quadtree grid info - y0 : 5040846. - Quadtree grid info - dx : 200.0000 - Quadtree grid info - dy : 200.0000 + Quadtree grid info - x0 : 318219.0 + Quadtree grid info - y0 : 5040846. + Quadtree grid info - dx : 200.0000 + Quadtree grid info - dy : 200.0000 Quadtree grid info - mmax : 64 Quadtree grid info - nmax : 24 - Quadtree grid info - rotation : 27.00200 + Quadtree grid info - rotation : 27.00200 Number of refinement transitions : 379 Number of active z points : 4226 Number of active u/v points : 8526 From b94a9b1f77c3a2613f396d7e1fd87b77980e1e4c Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 20 Dec 2024 10:12:02 +0100 Subject: [PATCH 17/24] changed fix for plotting; not longer reprojecting to epsg4326 by default but using another cartopy projection --- hydromt_sfincs/plots.py | 53 +++++++++++++++++++---------------------- 1 file changed, 24 insertions(+), 29 deletions(-) diff --git a/hydromt_sfincs/plots.py b/hydromt_sfincs/plots.py index fe3e1a8d..e5be2c47 100644 --- a/hydromt_sfincs/plots.py +++ b/hydromt_sfincs/plots.py @@ -4,7 +4,6 @@ import numpy as np import logging import pandas as pd -from pyproj import CRS, Transformer import xarray as xr import xugrid as xu @@ -189,38 +188,34 @@ def plot_basemap( proj_crs = ds.grid.crs bounds = ds.ugrid.total_bounds bbox = ds.ugrid.to_crs(4326).ugrid.total_bounds - ratio = (bounds[3]-bounds[1])/((bounds[2]-bounds[0])*1.4) + ratio = (bounds[3] - bounds[1]) / ((bounds[2] - bounds[0]) * 1.4) proj_str = proj_crs.name extent = np.array(bounds)[[0, 2, 1, 3]] - # Get the area of use of the Project CRS in geographic coordinates - area = proj_crs.area_of_use - west, south, east, north = area.bounds - # Transform the extent to the actual CRS - transformer = Transformer.from_crs("EPSG:4326", proj_crs, always_xy=True) - # Transform each corner of the bounding box - x_min, y_min = transformer.transform(west, south) - x_max, y_max = transformer.transform(east, north) - - # now check whether the model extent is within the extent of the crs - if extent[0] < x_min or extent[1] > x_max or extent[2] < y_min or extent[3] > y_max: - logger.info("Model domain exceeds the area of use of the CRS. " - "Reprojecting to EPSG:4326 for plotting.") - - # reproject ds to EPSG:4326 - if isinstance(ds, xr.Dataset): - ds = ds.raster.reproject('epsg:4326') - # reproject all geoms to EPSG:4326 - for name, gdf in geoms.items(): - geoms[name] = gdf.to_crs("epsg:4326") - # update proj_crs, proj_str bounds and extent - proj_crs = CRS.from_epsg(4326) - proj_str = proj_crs.name - bounds = bbox - extent = np.array(bounds)[[0, 2, 1, 3]] - if proj_crs.is_projected and proj_crs.to_epsg() is not None: - crs = ccrs.epsg(proj_crs.to_epsg()) + if "UTM" in proj_str: + # Extract the UTM zone number + utm_zone = proj_crs.utm_zone + # Parse the zone number and hemisphere + zone_number = int(utm_zone[:-1]) # Extract numeric part + hemisphere = utm_zone[-1] # Last character is 'N' or 'S' + # Determine if it's in the southern hemisphere + is_southern_hemisphere = hemisphere == "S" + # Create the Cartopy UTM projection + crs = ccrs.UTM(zone_number, southern_hemisphere=is_southern_hemisphere) + else: + crs = ccrs.epsg(proj_crs.to_epsg()) + + # now check whether the model extent is within the extent of the crs + bounds_crs = crs.boundary.bounds + if ( + bounds[0] < bounds_crs[0] + or bounds[1] < bounds_crs[1] + or bounds[2] > bounds_crs[2] + or bounds[3] > bounds_crs[3] + ): + logger.warning("Model domain exceeds the area of the CRS.") + logger.warning("Consider reprojecting to EPSG:4326 for plotting.") unit = proj_crs.axis_info[0].unit_name unit = "m" if unit == "metre" else unit xlab, ylab = f"x [{unit}] - {proj_str}", f"y [{unit}]" From 5ca44b7a1454320f004fa0a03337ae956f1388ae Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 20 Dec 2024 10:31:36 +0100 Subject: [PATCH 18/24] fix pyflwdir version for now (to be investigated) --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index a559b2ed..33ce513c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,7 +18,7 @@ dependencies = [ "numpy<2.0", # temp pin until bottleneck release v1.4 "pandas", "pillow", - "pyflwdir>=0.5.5", + "pyflwdir>=0.5.5", < 0.5.9, # update together with numpy "pyproj", "rasterio", "scipy", From fd386781bebf36f9018eaf7f86efb6c763b1fe18 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 20 Dec 2024 10:35:13 +0100 Subject: [PATCH 19/24] fix typo in pyproject.toml --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 33ce513c..3a8e637c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,7 +18,7 @@ dependencies = [ "numpy<2.0", # temp pin until bottleneck release v1.4 "pandas", "pillow", - "pyflwdir>=0.5.5", < 0.5.9, # update together with numpy + "pyflwdir>=0.5.5, <0.5.9", "pyproj", "rasterio", "scipy", From f3303d144ffc252eb832e2010f044b2e934527c1 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 20 Dec 2024 10:46:14 +0100 Subject: [PATCH 20/24] test fixing docs workflows, since Mambaforge gets deprecated ... --- .github/workflows/docs.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 36845786..9958d262 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -31,11 +31,11 @@ jobs: - name: checkout code uses: actions/checkout@v3 - - name: Setup Mambaforge + - name: Setup Miniforge uses: conda-incubator/setup-miniconda@v2 with: python-version: '3.11' - miniforge-variant: Mambaforge + miniforge-variant: Miniforge miniforge-version: latest use-mamba: true From a7a30e1df1ce651781e9b8ec1561e9737f34ce86 Mon Sep 17 00:00:00 2001 From: roeldegoede Date: Fri, 20 Dec 2024 10:48:55 +0100 Subject: [PATCH 21/24] miniforge3? --- .github/workflows/docs.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 9958d262..4cf1d570 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -35,7 +35,7 @@ jobs: uses: conda-incubator/setup-miniconda@v2 with: python-version: '3.11' - miniforge-variant: Miniforge + miniforge-variant: Miniforge3 miniforge-version: latest use-mamba: true From a8cbef738fe41a4549cc9139615f3f5bf0da7048 Mon Sep 17 00:00:00 2001 From: Tim Leijnse Date: Fri, 20 Dec 2024 11:58:46 +0100 Subject: [PATCH 22/24] Delete tests/data/sfincs_test_quadtree/sfincs_log.txt --- .../data/sfincs_test_quadtree/sfincs_log.txt | 102 ------------------ 1 file changed, 102 deletions(-) delete mode 100644 tests/data/sfincs_test_quadtree/sfincs_log.txt diff --git a/tests/data/sfincs_test_quadtree/sfincs_log.txt b/tests/data/sfincs_test_quadtree/sfincs_log.txt deleted file mode 100644 index e768ec72..00000000 --- a/tests/data/sfincs_test_quadtree/sfincs_log.txt +++ /dev/null @@ -1,102 +0,0 @@ - - ----------- Welcome to SFINCS ----------- - - @@@@@ @@@@@@@ @@ @@ @@ @@@@ @@@@@ - @@@ @@@ @@@@@@@ @@ @@@ @@ @@@@@@@ @@@ @@@ - @@@ @@ @@ @@@ @@ @@ @@ @@@ - @@@@@ @@@@@@ @@ @@@@@@ @@ @@@@@ - @@@ @@ @@ @@ @@@ @@ @@ @@@ - @@@ @@@ @@ @@ @@ @@ @@@@@@ @@@ @@@ - @@@@@ @@ @@ @@ @ @@@@ @@@@@ - - .............. - ......:@@@@@@@@:...... - ..::::..@@........@@.:::::.. - ..:::::..@@..::..::..@@.::::::.. - .::::::..@@............@@.:::::::. - .::::::..@@..............@@.:::::::. - .::::::::..@@............@@..::::::::. - .:::::::::...@@.@..@@..@.@@..::::::::::. - .:::::::::...:@@@..@@..@@@:..:::::::::.. - ............@@.@@..@@..@@.@@............ - ^^^~~^^~~^^@@..............@@^^^~^^^~~^^ - .::::::::::@@..............@@.:::::::::. - .......:.@@.....@.....@....@@.:....... - .::....@@......@.@@@.@....@@.....::. - .:::~@@.:...:.@@...@@.:.:.@@~::::. - .::~@@@@@@@@@@.....@@@@@@@@@~::. - ..:~~~~~~~:.......:~~~~~~~:.. - ...................... - .............. - - ----------------------------------------- - - Build-Revision: $Rev: v2.1.2-Dollerup - Build-Date: $Date: 2024-11-22 - - Reading input file ... - Info : Running SFINCS in subgrid mode ... - Turning on process: Viscosity - Advection scheme : First-order upwind - Reading meteo data ... - Info : Preparing SFINCS grid on quadtree mesh ... - Reading QuadTree netCDF file ... - Quadtree grid info - nr_levels : 3 - Quadtree grid info - x0 : 318219.0 - Quadtree grid info - y0 : 5040846. - Quadtree grid info - dx : 200.0000 - Quadtree grid info - dy : 200.0000 - Quadtree grid info - mmax : 64 - Quadtree grid info - nmax : 24 - Quadtree grid info - rotation : 27.00200 - Number of refinement transitions : 379 - Number of active z points : 4226 - Number of active u/v points : 8526 - Number of cells in level 1 : 899 - Number of cells in level 2 : 1749 - Number of cells in level 3 : 1804 - Viscosity - nuvisc = [ 0.5000000 - 2.000000 ] - Reading sub-grid netCDF file ... - Number of subgrid levels : 10 - Reading water level boundaries ... - - Initializing output ... - - ---------- Starting simulation ---------- - ---- Using 8 of 8 available threads ----- - - 0% complete, - s remaining ... - 5% complete, 3.9 s remaining ... - 10% complete, 2.7 s remaining ... - 15% complete, 2.1 s remaining ... - 20% complete, 1.8 s remaining ... - 25% complete, 1.8 s remaining ... - 30% complete, 1.8 s remaining ... - 35% complete, 1.7 s remaining ... - 40% complete, 1.5 s remaining ... - 45% complete, 1.3 s remaining ... - 50% complete, 1.2 s remaining ... - 55% complete, 1.0 s remaining ... - 60% complete, 0.9 s remaining ... - 65% complete, 0.8 s remaining ... - 70% complete, 0.7 s remaining ... - 75% complete, 0.6 s remaining ... - 80% complete, 0.5 s remaining ... - 85% complete, 0.4 s remaining ... - 90% complete, 0.2 s remaining ... - 95% complete, 0.1 s remaining ... - 100% complete, 0.0 s remaining ... - - ---------- Simulation finished ---------- - - Total time : 2.503 - Total simulation time : 2.433 - Time in input : 0.070 - Time in boundaries : 0.058 ( 2.4%) - Time in momentum : 1.781 ( 73.2%) - Time in continuity : 0.551 ( 22.6%) - Time in output : 0.023 ( 0.9%) - - Average time step (s) : 3.733 - - ---------- Closing off SFINCS ----------- From 92a6080e83c2ed0c88535afba4a3b4a7f5438e82 Mon Sep 17 00:00:00 2001 From: LuukBlom <153174893+LuukBlom@users.noreply.github.com> Date: Fri, 10 Jan 2025 10:08:48 +0100 Subject: [PATCH 23/24] bugfix so sfincs_his.nc files are closed correctly (#232) * bugfix so that the .nc file is closed automatically when erroring or when leaving the context manager (with block). see https://github.com/pydata/xarray/issues/1629#issuecomment-336103119 * fixed all occurences of xr.opendataset with the safe open&close pattern * review comments by Roel * fix linting --------- Co-authored-by: roeldegoede --- examples/example_datasources.ipynb | 4 +- hydromt_sfincs/quadtree.py | 9 +- hydromt_sfincs/sfincs.py | 14 +- hydromt_sfincs/subgrid.py | 206 ++++++++++++++--------------- hydromt_sfincs/utils.py | 94 ++++++------- 5 files changed, 160 insertions(+), 167 deletions(-) diff --git a/examples/example_datasources.ipynb b/examples/example_datasources.ipynb index 27712272..cdfb0767 100644 --- a/examples/example_datasources.ipynb +++ b/examples/example_datasources.ipynb @@ -154,8 +154,8 @@ "# The first option that exist is openning raster data with for example xarray:\n", "import xarray as xr\n", "\n", - "ds_xarray = xr.open_dataset(localtiff, engine=\"rasterio\")\n", - "ds_xarray" + "with xr.open_dataset(localtiff, engine=\"rasterio\") as ds:\n", + " print(ds)" ] }, { diff --git a/hydromt_sfincs/quadtree.py b/hydromt_sfincs/quadtree.py index 94086ba5..72c89ee5 100644 --- a/hydromt_sfincs/quadtree.py +++ b/hydromt_sfincs/quadtree.py @@ -3,19 +3,18 @@ from pathlib import Path from typing import Union -import numpy as np -from pyproj import CRS, Transformer - import geopandas as gpd +import numpy as np import pandas as pd +import shapely import xarray as xr import xugrid as xu -import shapely +from pyproj import CRS, Transformer # optional dependency try: - from datashader import Canvas import datashader.transfer_functions as tf + from datashader import Canvas from datashader.utils import export_image HAS_DATASHADER = True diff --git a/hydromt_sfincs/sfincs.py b/hydromt_sfincs/sfincs.py index 590fc386..8b470b78 100644 --- a/hydromt_sfincs/sfincs.py +++ b/hydromt_sfincs/sfincs.py @@ -17,18 +17,18 @@ import pandas as pd import xarray as xr import xugrid as xu -from xugrid.core.wrap import UgridDataArray from hydromt.models.model_grid import GridModel from hydromt.vector import GeoDataArray, GeoDataset from hydromt.workflows.forcing import da_to_timedelta from pyproj import CRS from shapely.geometry import LineString, box +from xugrid.core.wrap import UgridDataArray -from . import DATADIR, plots, utils, workflows -from .regulargrid import RegularGrid -from .quadtree import QuadtreeGrid -from .subgrid import SubgridTableRegular -from .sfincs_input import SfincsInput +from hydromt_sfincs import DATADIR, plots, utils, workflows +from hydromt_sfincs.quadtree import QuadtreeGrid +from hydromt_sfincs.regulargrid import RegularGrid +from hydromt_sfincs.sfincs_input import SfincsInput +from hydromt_sfincs.subgrid import SubgridTableRegular __all__ = ["SfincsModel"] @@ -3196,7 +3196,7 @@ def read_forcing(self, data_vars: List = None): elif name in ["netbndbzsbzi", "netsrcdis"]: ds = GeoDataset.from_netcdf(fn, crs=self.crs, chunks="auto") else: - ds = xr.open_dataset(fn, chunks="auto") + ds = xr.load_dataset(fn, chunks="auto") rename = {k: v for k, v in rename.items() if k in ds} if len(rename) > 0: ds = ds.rename(rename).squeeze(drop=True)[list(rename.values())] diff --git a/hydromt_sfincs/subgrid.py b/hydromt_sfincs/subgrid.py index baf1bc7d..28dd529c 100644 --- a/hydromt_sfincs/subgrid.py +++ b/hydromt_sfincs/subgrid.py @@ -12,8 +12,7 @@ from numba import njit from rasterio.windows import Window -from . import utils -from . import workflows +from hydromt_sfincs import utils, workflows logger = logging.getLogger(__name__) @@ -30,102 +29,80 @@ def read(self, file_name, mask): self.version = 1 # Read data from netcdf file with xarray - ds = xr.open_dataset(file_name) - - # transpose to have level as first dimension - ds = ds.transpose("levels", "npuv", "np") - - # grid dimensions - grid_dim = mask.shape - - # get number of levels, point and uv points - self.nlevels, self.nr_cells, self.nr_uv_points = ( - ds.sizes["levels"], - ds.sizes["np"], - ds.sizes["npuv"], - ) - - # find indices of active cells - index_nm, index_mu1, index_nu1 = utils.find_uv_indices(mask) - active_indices = np.where(index_nm > -1)[0] - - # convert 1D indices to 2D indices - active_cells = np.unravel_index(active_indices, grid_dim, order="F") - - # Initialize the data-arrays - # Z points - self.z_zmin = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) - self.z_zmax = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) - self.z_volmax = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) - self.z_level = np.full( - (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 - ) - - # U points - self.u_zmin = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) - self.u_zmax = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) - self.u_havg = np.full( - (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 - ) - self.u_nrep = np.full( - (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 - ) - self.u_pwet = np.full( - (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 - ) - self.u_ffit = np.full((grid_dim), fill_value=np.nan, dtype=np.float32) - self.u_navg = np.full((grid_dim), fill_value=np.nan, dtype=np.float32) - - # V points - self.v_zmin = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) - self.v_zmax = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) - self.v_havg = np.full( - (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 - ) - self.v_nrep = np.full( - (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 - ) - self.v_pwet = np.full( - (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 - ) - self.v_ffit = np.full((grid_dim), fill_value=np.nan, dtype=np.float32) - self.v_navg = np.full((grid_dim), fill_value=np.nan, dtype=np.float32) - - # Now read the data and add it to the data-arrays - # use index_nm of the active cells in the new dataset - self.z_zmin[active_cells] = ds["z_zmin"].values.flatten() - self.z_zmax[active_cells] = ds["z_zmax"].values.flatten() - self.z_volmax[active_cells] = ds["z_volmax"].values.flatten() - for ilevel in range(self.nlevels): - self.z_level[ilevel, active_cells[0], active_cells[1]] = ds["z_level"][ - ilevel - ].values.flatten() - - # now use index_mu1 and index_nu1 to put the values of the active cells in the new dataset - var_list = ["zmin", "zmax", "ffit", "navg"] - for var in var_list: - uv_var = ds["uv_" + var].values.flatten() - - # Dynamically set the attribute for self.u_var and self.v_var - u_attr_name = f"u_{var}" - v_attr_name = f"v_{var}" + with xr.open_dataset(file_name) as ds: + # transpose to have level as first dimension + ds = ds.transpose("levels", "npuv", "np") + + # grid dimensions + grid_dim = mask.shape + + # get number of levels, point and uv points + self.nlevels, self.nr_cells, self.nr_uv_points = ( + ds.sizes["levels"], + ds.sizes["np"], + ds.sizes["npuv"], + ) - # Retrieve the current attribute values - u_array = getattr(self, u_attr_name) - v_array = getattr(self, v_attr_name) + # find indices of active cells + index_nm, index_mu1, index_nu1 = utils.find_uv_indices(mask) + active_indices = np.where(index_nm > -1)[0] - # Update only the active indices - u_array[active_cells] = uv_var[index_mu1[active_indices]] - v_array[active_cells] = uv_var[index_nu1[active_indices]] + # convert 1D indices to 2D indices + active_cells = np.unravel_index(active_indices, grid_dim, order="F") - # Set the modified arrays back to the attributes - setattr(self, u_attr_name, u_array) - setattr(self, v_attr_name, v_array) + # Initialize the data-arrays + # Z points + self.z_zmin = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) + self.z_zmax = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) + self.z_volmax = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) + self.z_level = np.full( + (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 + ) - var_list_levels = ["havg", "nrep", "pwet"] - for var in var_list_levels: + # U points + self.u_zmin = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) + self.u_zmax = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) + self.u_havg = np.full( + (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 + ) + self.u_nrep = np.full( + (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 + ) + self.u_pwet = np.full( + (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 + ) + self.u_ffit = np.full((grid_dim), fill_value=np.nan, dtype=np.float32) + self.u_navg = np.full((grid_dim), fill_value=np.nan, dtype=np.float32) + + # V points + self.v_zmin = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) + self.v_zmax = np.full(grid_dim, fill_value=np.nan, dtype=np.float32) + self.v_havg = np.full( + (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 + ) + self.v_nrep = np.full( + (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 + ) + self.v_pwet = np.full( + (self.nlevels, *grid_dim), fill_value=np.nan, dtype=np.float32 + ) + self.v_ffit = np.full((grid_dim), fill_value=np.nan, dtype=np.float32) + self.v_navg = np.full((grid_dim), fill_value=np.nan, dtype=np.float32) + + # Now read the data and add it to the data-arrays + # use index_nm of the active cells in the new dataset + self.z_zmin[active_cells] = ds["z_zmin"].values.flatten() + self.z_zmax[active_cells] = ds["z_zmax"].values.flatten() + self.z_volmax[active_cells] = ds["z_volmax"].values.flatten() for ilevel in range(self.nlevels): - uv_var = ds["uv_" + var][ilevel].values.flatten() + self.z_level[ilevel, active_cells[0], active_cells[1]] = ds["z_level"][ + ilevel + ].values.flatten() + + # now use index_mu1 and index_nu1 to put the values of the active cells in the new dataset + var_list = ["zmin", "zmax", "ffit", "navg"] + for var in var_list: + uv_var = ds["uv_" + var].values.flatten() # Dynamically set the attribute for self.u_var and self.v_var u_attr_name = f"u_{var}" @@ -136,19 +113,37 @@ def read(self, file_name, mask): v_array = getattr(self, v_attr_name) # Update only the active indices - u_array[ilevel, active_cells[0], active_cells[1]] = uv_var[ - index_mu1[active_indices] - ] - v_array[ilevel, active_cells[0], active_cells[1]] = uv_var[ - index_nu1[active_indices] - ] + u_array[active_cells] = uv_var[index_mu1[active_indices]] + v_array[active_cells] = uv_var[index_nu1[active_indices]] # Set the modified arrays back to the attributes setattr(self, u_attr_name, u_array) setattr(self, v_attr_name, v_array) - # close the dataset - ds.close() + var_list_levels = ["havg", "nrep", "pwet"] + for var in var_list_levels: + for ilevel in range(self.nlevels): + uv_var = ds["uv_" + var][ilevel].values.flatten() + + # Dynamically set the attribute for self.u_var and self.v_var + u_attr_name = f"u_{var}" + v_attr_name = f"v_{var}" + + # Retrieve the current attribute values + u_array = getattr(self, u_attr_name) + v_array = getattr(self, v_attr_name) + + # Update only the active indices + u_array[ilevel, active_cells[0], active_cells[1]] = uv_var[ + index_mu1[active_indices] + ] + v_array[ilevel, active_cells[0], active_cells[1]] = uv_var[ + index_nu1[active_indices] + ] + + # Set the modified arrays back to the attributes + setattr(self, u_attr_name, u_array) + setattr(self, v_attr_name, v_array) # new way of writing netcdf subgrid tables def write(self, file_name, mask): @@ -833,11 +828,10 @@ def read(self, file_name): return # Read from netcdf file with xarray - ds = xr.open_dataset(file_name) - # Transpose to ensure bins is first dimension (convert from FORTRAN convention in SFINCS to Python) - ds = ds.transpose("levels", "npuv", "np") - ds.close() # Should this be closed ? - self.data = ds + with xr.open_dataset(file_name) as ds: + # Transpose to ensure bins is first dimension (convert from FORTRAN convention in SFINCS to Python) + ds = ds.transpose("levels", "npuv", "np") + self.data = ds def write(self, file_name): """Write XArray dataset to netcdf file""" diff --git a/hydromt_sfincs/utils.py b/hydromt_sfincs/utils.py index 1d85451d..1c1999c3 100644 --- a/hydromt_sfincs/utils.py +++ b/hydromt_sfincs/utils.py @@ -15,16 +15,15 @@ import numpy as np import pandas as pd import rasterio -from rasterio.enums import Resampling -from rasterio.rio.overview import get_maximum_overview_level -from rasterio.windows import Window import xarray as xr import xugrid as xu from hydromt.io import write_xy from pyproj.crs.crs import CRS +from rasterio.enums import Resampling +from rasterio.rio.overview import get_maximum_overview_level +from rasterio.windows import Window from shapely.geometry import LineString, Polygon - __all__ = [ "read_binary_map", "write_binary_map", @@ -779,38 +778,40 @@ def read_sfincs_map_results( "corner_n": "corner_y", "corner_m": "corner_x", } - ds_map = xr.open_dataset(fn_map, chunks={"time": chunksize}, **kwargs) - ds_map = ds_map.rename( - {k: v for k, v in rm.items() if (k in ds_map or k in ds_map.dims)} - ) - ds_map = ds_map.set_coords( - [var for var in ds_map.data_vars.keys() if (var in rm.values())] - ) - - # support for older sfincs_map.nc files - # check if x,y dimensions are in the order y,x - ds_map = ds_map.transpose(..., "y", "x", "corner_y", "corner_x") - - # split face and edge variables - scoords = ds_like.raster.coords - tcoords = {tdim: ds_map[tdim] for tdim in ds_map.dims if tdim.startswith("time")} - ds_face = xr.Dataset(coords={**scoords, **tcoords}) - ds_edge = xr.Dataset() - for var in ds_map.data_vars: - if var in drop: - continue - if "x" in ds_map[var].dims and "y" in ds_map[var].dims: - # drop to overwrite with ds_like.raster.coords - ds_face[var] = ds_map[var].drop_vars(["xc", "yc"]) - elif ds_map[var].ndim == 0: - ds_face[var] = ds_map[var] - else: - ds_edge[var] = ds_map[var] + with xr.open_dataset(fn_map, chunks={"time": chunksize}, **kwargs) as ds_map: + ds_map = ds_map.rename( + {k: v for k, v in rm.items() if (k in ds_map or k in ds_map.dims)} + ) + ds_map = ds_map.set_coords( + [var for var in ds_map.data_vars.keys() if (var in rm.values())] + ) - # add crs - if ds_like.raster.crs is not None: - ds_face.raster.set_crs(ds_like.raster.crs) - ds_edge.raster.set_crs(ds_like.raster.crs) + # support for older sfincs_map.nc files + # check if x,y dimensions are in the order y,x + ds_map = ds_map.transpose(..., "y", "x", "corner_y", "corner_x") + + # split face and edge variables + scoords = ds_like.raster.coords + tcoords = { + tdim: ds_map[tdim] for tdim in ds_map.dims if tdim.startswith("time") + } + ds_face = xr.Dataset(coords={**scoords, **tcoords}) + ds_edge = xr.Dataset() + for var in ds_map.data_vars: + if var in drop: + continue + if "x" in ds_map[var].dims and "y" in ds_map[var].dims: + # drop to overwrite with ds_like.raster.coords + ds_face[var] = ds_map[var].drop_vars(["xc", "yc"]) + elif ds_map[var].ndim == 0: + ds_face[var] = ds_map[var] + else: + ds_edge[var] = ds_map[var] + + # add crs + if ds_like.raster.crs is not None: + ds_face.raster.set_crs(ds_like.raster.crs) + ds_edge.raster.set_crs(ds_like.raster.crs) return ds_face, ds_edge @@ -837,18 +838,17 @@ def read_sfincs_his_results( ds_his: xr.Dataset Parsed SFINCS output his file. """ - - ds_his = xr.open_dataset(fn_his, chunks={"time": chunksize}, **kwargs) - crs = ds_his["crs"].item() if ds_his["crs"].item() > 0 else crs - dvars = list(ds_his.data_vars.keys()) - # set coordinates & spatial dims - cvars = ["id", "name", "x", "y"] - ds_his = ds_his.set_coords([v for v in dvars if v.split("_")[-1] in cvars]) - ds_his.vector.set_spatial_dims( - x_name="station_x", y_name="station_y", index_dim="stations" - ) - # set crs - ds_his.vector.set_crs(crs) + with xr.open_dataset(fn_his, chunks={"time": chunksize}, **kwargs) as ds_his: + crs = ds_his["crs"].item() if ds_his["crs"].item() > 0 else crs + dvars = list(ds_his.data_vars.keys()) + # set coordinates & spatial dims + cvars = ["id", "name", "x", "y"] + ds_his = ds_his.set_coords([v for v in dvars if v.split("_")[-1] in cvars]) + ds_his.vector.set_spatial_dims( + x_name="station_x", y_name="station_y", index_dim="stations" + ) + # set crs + ds_his.vector.set_crs(crs) return ds_his From e776a8e4ac1e7215b82bbf0b187ac44bca5a0420 Mon Sep 17 00:00:00 2001 From: LuukBlom <153174893+LuukBlom@users.noreply.github.com> Date: Wed, 15 Jan 2025 17:29:17 +0100 Subject: [PATCH 24/24] added xu_open_dataset wrapper (#236) * added xu_open_dataset wrapper. * load_dataset -> open_dataset * linting --------- Co-authored-by: roeldegoede --- hydromt_sfincs/quadtree.py | 5 +++-- hydromt_sfincs/sfincs.py | 11 ++++++++--- hydromt_sfincs/utils.py | 9 +++++++++ 3 files changed, 20 insertions(+), 5 deletions(-) diff --git a/hydromt_sfincs/quadtree.py b/hydromt_sfincs/quadtree.py index 72c89ee5..f8985451 100644 --- a/hydromt_sfincs/quadtree.py +++ b/hydromt_sfincs/quadtree.py @@ -11,6 +11,8 @@ import xugrid as xu from pyproj import CRS, Transformer +from hydromt_sfincs.utils import xu_open_dataset + # optional dependency try: import datashader.transfer_functions as tf @@ -83,8 +85,7 @@ def empty_mask(self): def read(self, file_name: Union[str, Path] = "sfincs.nc"): """Reads a quadtree netcdf file and stores it in the QuadtreeGrid object.""" - self.data = xu.open_dataset(file_name) - self.data.close() # TODO check if close works/is needed + self.data = xu_open_dataset(file_name) # TODO make similar to fortran conventions? # Rename to python conventions diff --git a/hydromt_sfincs/sfincs.py b/hydromt_sfincs/sfincs.py index 8b470b78..19e47866 100644 --- a/hydromt_sfincs/sfincs.py +++ b/hydromt_sfincs/sfincs.py @@ -1350,7 +1350,7 @@ def setup_cn_infiltration_with_ks( ib += 1 self.logger.debug( f"\nblock {ib + 1}/{nrbn * nrbm} -- " - f"col {bm0}:{bm1-1} | row {bn0}:{bn1-1}" + f"col {bm0}:{bm1 - 1} | row {bn0}:{bn1 - 1}" ) # calculate transform and shape of block at cell and subgrid level @@ -3189,6 +3189,7 @@ def read_forcing(self, data_vars: List = None): for name in dvars_2d: fname, rename = self._FORCING_NET[name] fn = self.get_config(f"{fname}file", abs_path=True) + ds = None if fn is None or not isfile(fn): if fn is not None: self.logger.warning(f"{name}file not found at {fn}") @@ -3196,7 +3197,8 @@ def read_forcing(self, data_vars: List = None): elif name in ["netbndbzsbzi", "netsrcdis"]: ds = GeoDataset.from_netcdf(fn, crs=self.crs, chunks="auto") else: - ds = xr.load_dataset(fn, chunks="auto") + ds = xr.open_dataset(fn, chunks="auto") + rename = {k: v for k, v in rename.items() if k in ds} if len(rename) > 0: ds = ds.rename(rename).squeeze(drop=True)[list(rename.values())] @@ -3204,6 +3206,9 @@ def read_forcing(self, data_vars: List = None): else: logger.warning(f"No forcing variables found in {fname}file") + if ds is not None: + ds.close() + def write_forcing(self, data_vars: Union[List, str] = None, fmt: str = "%7.2f"): """Write forcing to ascii or netcdf (netampr) files. Filenames are based on the `config` attribute. @@ -3425,7 +3430,7 @@ def read_results( self.set_results(ds_face, split_dataset=True) self.set_results(ds_edge, split_dataset=True) elif self.grid_type == "quadtree": - dsu = xu.open_dataset( + dsu = utils.xu_open_dataset( fn_map, chunks={"time": chunksize}, ) diff --git a/hydromt_sfincs/utils.py b/hydromt_sfincs/utils.py index 1c1999c3..df1e1a7b 100644 --- a/hydromt_sfincs/utils.py +++ b/hydromt_sfincs/utils.py @@ -1329,3 +1329,12 @@ def binary_search(vals, val): if vals[indx] == val: return indx return None + + +def xu_open_dataset(*args, **kwargs): + """This function is a replacement of xu.open_dataset. + + It exists because xu.open_dataset does not close the file after opening, which can lead to Permission Errors. + """ + with xr.open_dataset(*args, **kwargs) as ds: + return xu.UgridDataset(ds)

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