From 2da98197d4f8c37c1bdcae32668d0a769c60a2f5 Mon Sep 17 00:00:00 2001 From: LaurensLeunge Date: Mon, 13 Sep 2021 11:13:27 +0200 Subject: [PATCH 1/9] Connected the plugin to the new FIAT version. --- ...{hydromt-fiat.yml => hydromt-fiat-dev.yml} | 8 +- examples/fiat_flood.ini | 55 +- examples/fiat_flood/fiat_configuration.ini | 50 + examples/fiat_flood/fiat_configuration.xlsx | Bin 11686 -> 0 bytes .../{flooding_rp2.tif => hand_050cm_rp02.tif} | Bin 24356 -> 22908 bytes ...{flooding_rp50.tif => hand_150cm_rp50.tif} | Bin 20616 -> 19891 bytes examples/fiat_flood/risk.csv | 3 - .../EU000.csv | 0 .../data/fiat/fiat_configuration.xlsx | Bin 13357 -> 0 bytes hydromt_fiat/fiat.py | 1214 ++++++++++------- hydromt_fiat/workflows/buildings.py | 6 +- tests/test_model_class.py | 2 +- 12 files changed, 792 insertions(+), 546 deletions(-) rename envs/{hydromt-fiat.yml => hydromt-fiat-dev.yml} (92%) create mode 100644 examples/fiat_flood/fiat_configuration.ini delete mode 100644 examples/fiat_flood/fiat_configuration.xlsx rename examples/fiat_flood/hazard/{flooding_rp2.tif => hand_050cm_rp02.tif} (93%) rename examples/fiat_flood/hazard/{flooding_rp50.tif => hand_150cm_rp50.tif} (95%) delete mode 100644 examples/fiat_flood/risk.csv rename examples/fiat_flood/{vulnerability => susceptibility}/EU000.csv (100%) delete mode 100644 hydromt_fiat/data/fiat/fiat_configuration.xlsx diff --git a/envs/hydromt-fiat.yml b/envs/hydromt-fiat-dev.yml similarity index 92% rename from envs/hydromt-fiat.yml rename to envs/hydromt-fiat-dev.yml index f829aeaa..ec65801d 100644 --- a/envs/hydromt-fiat.yml +++ b/envs/hydromt-fiat-dev.yml @@ -1,4 +1,4 @@ -name: hydromt-fiat +name: hydromt-fiat-dev channels: - conda-forge @@ -15,6 +15,7 @@ dependencies: - flit>=3.2 - gdal>=3.1 - geopandas + - hydromt - jupyterlab # to run examples - netcdf4 - matplotlib # to run examples @@ -36,7 +37,4 @@ dependencies: - sphinx # docs - sphinx_rtd_theme # docs - xarray - - zarr - - pip: - - hydromt>=0.4.1 - + - zarr \ No newline at end of file diff --git a/examples/fiat_flood.ini b/examples/fiat_flood.ini index de3c18b0..f8d09152 100644 --- a/examples/fiat_flood.ini +++ b/examples/fiat_flood.ini @@ -1,20 +1,51 @@ [global] -artifact_data = True # use latest artifact data +artifact_data = True # use latest artifact data [setup_config] -case = baseline # name of case -country = Italy # Country name or ISO3 tag, see hydromt_fiat/data/global_configuration.xlsx for options -hazard_type = flooding # for now only 'flooding' -unit = m # 'm' or 'ft' +case = baseline # name of case +strategy = base # name of strategy (optional) +scenario = base # name of scenario (optional) +year = 2021 # case year (optional) +country = Italy # country name or ISO3 tag, see hydromt_fiat/data/global_configuration.xlsx for options +hazard_type = flooding # description of the hazard type (for now only 'flooding') +hazard_unit = m # unit of the hazard map values ('m' or 'ft') +output_unit = USD # unit in which the damage (and risk) numbers are expressed +category_output = True # indicator that specifies whether the results per category should be included in the output (default is True) +total_output = True # indicator that specifies whether the total results should be included in the output (default is True) +risk_output = True # indicator that specifies whether a risk calculation has to be conducted (default is True) +map_output = True # indicator that specifies whether the result maps should be included in the output (default is True) [setup_hazard1] -map_fn = data/flood_hand/hand_050cm_rp02.tif # path to hazard file -return_period = 2 # hazard return period (optional) +map_fn = data/flood_hand/hand_050cm_rp02.tif # absolute or relative (with respect to the configuration.ini) path to the hazard file +map_type = water_depth # description of the hazard file type +rp = 2 # hazard return period in years, required for a risk calculation (optional) +crs = 3452 # coordinate reference system of the hazard file (optional) +nodata = -9999 # value that is assigned as nodata (optional) +var = None # hazard variable name in NetCDF input files (optional) +chunks = 100 # chunk sizes along each dimension used to load the hazard file into a dask array (default is 'auto') (optional) [setup_hazard2] -map_fn = data/flood_hand/hand_150cm_rp50.tif # path to second hazard file ... -return_period = 50 +map_fn = data/flood_hand/hand_150cm_rp50.tif # absolute or relative (with respect to the configuration.ini) path to the hazard file +map_type = water_depth # description of the hazard file type +rp = 50 # hazard return period in years, required for a risk calculation (optional) +crs = 3452 # coordinate reference system of the hazard file (optional) +nodata = -9999 # value that is assigned as nodata (optional) +var = None # hazard variable name in NetCDF input files (optional) +chunks = 100 # chunk sizes along each dimension used to load the hazard file into a dask array (default is 'auto') (optional) -[setup_exposure_buildings] -bld_fn = guf_bld_2012 # building footpring map {'guf_bld_2012', 'wsf_bld_2015'} -pop_fn = ghs_pop_2015_54009 # population count map {'ghs_pop_2015_54009', 'ghs_pop_2015'} \ No newline at end of file +[setup_buildings_value] +bld_fn = guf_bld_2012 # name tag of or absolute or relative (with respect to the configuration file) path to the building footprint file (default is 'wsf_bld_2015') +pop_fn = ghs_pop_2015_54009 # name tag of or absolute or relative (with respect to the configuration file) path to the population count file (default is 'ghs_pop_2015') +chunks = 100 # chunk sizes along each dimension used to load the building footprint and population count files into a dask arrays (default is 'auto') (optional) +function_fn = None # absolute or relative (with respect to the configuration file or susceptibility_dp) path to the susceptibility file (default is the JCR continental susceptibilty function (https://publications.jrc.ec.europa.eu/repository/handle/JRC105688) related to the country parameter) (optional) +scale_factor = 1 # scaling factor of the exposure values (default is 1) (optional) +weight_factor = 1 # weight factor of the exposure values in the total damage and risk results (default is 1) (optional) + +# Alternatives to conduct a risk calculation (triggered by a multiple hazard input): +# [setup_hazard] +# map_fn = [hazard/RP_2.tif, hazard/RP_100.tif] # TODO: Not properly working yet, input is '[.., ..]' instead of ['..', '..'] +# rp = [2, 100] # TODO: Not properly working yet, input is not parseble. + +# Alternative to derive rp from filename: +# [setup_hazard1] +# map_fn = hazard/RP_*.tif \ No newline at end of file diff --git a/examples/fiat_flood/fiat_configuration.ini b/examples/fiat_flood/fiat_configuration.ini new file mode 100644 index 00000000..02595b7b --- /dev/null +++ b/examples/fiat_flood/fiat_configuration.ini @@ -0,0 +1,50 @@ +[setup_config] +case = baseline +strategy = base +scenario = base +year = 2021 +hazard_type = flooding +output_unit = USD +hazard_dp = hazard +exposure_dp = exposure +susceptibility_dp = susceptibility +output_dp = output +category_output = True +total_output = True +risk_output = True +map_output = True + +[setup_hazard1] +usage = True +map_fn = hand_050cm_rp02.tif +map_type = water_depth +rp = 2 +crs = EPSG:4326 +nodata = -9999 +var = None +chunks = 100 + +[setup_hazard2] +usage = True +map_fn = hand_150cm_rp50.tif +map_type = water_depth +rp = 50 +crs = EPSG:4326 +nodata = -9999 +var = None +chunks = 100 + +[setup_exposure1] +usage = True +map_fn = buildings_value.tif +category = buildings_value +subcategory = None +unit = USD +crs = EPSG:4326 +nodata = 0 +chunks = 100 +function_fn = {'water_depth': 'EU000.csv'} +comp_alg = max +scale_factor = 1 +weight_factor = 1 + diff --git a/examples/fiat_flood/fiat_configuration.xlsx b/examples/fiat_flood/fiat_configuration.xlsx deleted file mode 100644 index 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zyK)T3*LYS~E{Sd{-fefJaHQy#n?}Bp_^*1~ykBH10MapouijXrR-@4>Xo`mdKaG8h z*zS}>2bhISx5n34WPDPoe?S5sT&``6wrKYbtF4EbE$3Ko9@(RpUeQBvN zLi4JAuS;50K~KP9QibV$ga|N^zH%f@1F1$a(1V(=oitt8uUiV(i{hf zoXcqRCF*_@@qW-eRtGKc!WnPI}&N7CdcJ-7ouwe%KAhd=lwHCLH<^n{VU_I1*(6sjzIlyjntpzs=qS-vkLDoRxmJ9xZjxnkD9z+aegh$ z`U^=7;eQA5AB9@KqWqfg`3prHRPO~U_xd&a^DDrwhgN?9^br0A@YfO6udKgDlz*`r zlK#&6Ykc`D!mnY_UkE2;zs|wG21UOD{u)*M1$ajO8{jW7#lOZFzk>dA8}Jt-7+B(a rFtGpF6#UBmPpkcRb~3uZvHxMi<)t7&G6)8S0D6&w#Q2Qi=ePd>xNP%{ diff --git a/hydromt_fiat/fiat.py b/hydromt_fiat/fiat.py index f207b388..ce17e9d0 100644 --- a/hydromt_fiat/fiat.py +++ b/hydromt_fiat/fiat.py @@ -1,15 +1,14 @@ """Implement fiat model class""" from ast import literal_eval +from configparser import ConfigParser +from hydromt.cli.cli_utils import parse_config from hydromt.models.model_api import Model -from openpyxl import load_workbook -from os.path import abspath, basename, dirname, isfile, join +from os.path import join from pathlib import Path from shapely.geometry import box from shutil import copy -from typing import Dict, List, Optional, Set, Tuple import geopandas as gpd -import glob import hydromt import logging import numpy as np @@ -27,15 +26,15 @@ class FiatModel(Model): """General and basic API for the FIAT model in hydroMT.""" _NAME = "fiat" - _CONF = "fiat_configuration.xlsx" + _CONF = "fiat_configuration.ini" _GEOMS = {} # FIXME Mapping from hydromt names to model specific names _MAPS = {} # FIXME Mapping from hydromt names to model specific names - _FOLDERS = ["hazard", "exposure", "vulnerability", "output"] + _FOLDERS = ["hazard", "exposure", "susceptibility", "output"] _DATADIR = DATADIR def __init__( self, - root, + root=None, mode="w", config_fn=None, data_libs=None, @@ -43,10 +42,6 @@ def __init__( deltares_data=False, artifact_data=False, ): - # Check if the root parameter exists. - if not isinstance(root, (str, Path)): - raise ValueError("The 'root' parameter should be a of str or Path.") - super().__init__( root=root, mode=mode, @@ -57,22 +52,23 @@ def __init__( logger=logger, ) + """ MODEL METHODS """ + def setup_basemaps( self, region, **kwargs, ): - """Define the model region. + """Define the model domain that is used to clip the raster layers. Adds model layer: - * **region** geom: model region + * **region** geom: A geometry with the nomenclature 'region'. Parameters ---------- region: dict - Dictionary describing region of interest, e.g. {'bbox': [xmin, ymin, xmax, ymax]}. - See :py:meth:`~hydromt.workflows.parse_region()` for all options. + Dictionary describing region of interest, e.g. {'bbox': [xmin, ymin, xmax, ymax]}. See :py:meth:`~hydromt.workflows.parse_region()` for all options. """ kind, region = hydromt.workflows.parse_region(region, logger=self.logger) @@ -93,151 +89,238 @@ def setup_basemaps( def setup_hazard( self, map_fn, - return_period=None, - variable=None, + map_type, + chunks='auto', + rp=None, + crs=None, + nodata=None, + var=None, **kwargs, ): """Add a hazard map to the FIAT model schematization. Adds model layer: - * **hazard** map(s): A hazard map with the nomenclature _rp. + * **hazard** map(s): A raster map with the nomenclature . Parameters ---------- map_fn: (list of) str, Path - Path to hazard raster file. - return_period: (list of) int, float, optional - Return period in years, required for a risk calculation. The default is None. - variable: str - Name of variable in dataset, required when reading NetCDF data. + Absolute or relative (with respect to the configuration file or hazard directory) path to the hazard file. + map_type: (list of) str + Description of the hazard type. + rp: (list of) int, float, optional + Return period in years, required for a risk calculation. + crs: (list of) int, str, optional + Coordinate reference system of the hazard file. + nodata: (list of) int, float, optional + Value that is assigned as nodata. + var: (list of) str, optional + Hazard variable name in NetCDF input files. + chunks: (list of) int, optional + Chunk sizes along each dimension used to load the hazard file into a dask array. The default is value 'auto'. """ - # Check the input parameters. - rp_lst, var_lst = [], [] - fn_lst = [map_fn] if isinstance(map_fn, (str, Path)) else map_fn - if not (isinstance(fn_lst, list) and isinstance(fn_lst[0], (str, Path))): - raise TypeError(f"The 'map_fn' parameter should be a of str or Path.") - if return_period is not None: - rp_lst = ( - [return_period] - if isinstance(return_period, (int, float)) - else return_period - ) - if not isinstance(rp_lst, list): - raise TypeError( - f"The 'return_period' parameter should be a float or int, received a {type(return_period)} instead." - ) - if not (len(rp_lst) == len(fn_lst) or len(rp_lst) == len(var_lst)): + # Check the hazard input parameter types. + map_fn_lst = [map_fn] if isinstance(map_fn, (str, Path)) else map_fn + map_type_lst = [map_type] if isinstance(map_type, (str, Path)) else map_type + self.check_param_type(map_fn_lst, name="map_fn", types=(str, Path)) + self.check_param_type(map_type_lst, name="map_type", types=str) + if chunks != "auto": + chunks_lst = [chunks] if isinstance(chunks, (int, dict)) else chunks + self.check_param_type(chunks_lst, name="chunks", types=(int, dict)) + if not len(chunks_lst) == 1 or not len(chunks_lst) == len(map_fn_lst): raise IndexError( - "The length of 'return_period' parameter should match with the 'map_fn' or 'variable' parameters." + "The number of 'chunks' parameters should match with the number of " + "'map_fn' parameters." ) - if variable is not None: - var_lst = [variable] if isinstance(variable, str) else variable - if not isinstance(var_lst, list): - raise TypeError( - f"The 'variable' parameter should be a str, received a {type(variable)} instead." + if rp is not None: + rp_lst = [rp] if isinstance(rp, (int, float)) else rp + self.check_param_type(rp_lst, name="rp", types=(float, int)) + if not len(rp_lst) == len(map_fn_lst): + raise IndexError( + "The number of 'rp' parameters should match with the number of " + "'map_fn' parameters." ) - if len(fn_lst) == 1: - kwargs.update(variables=var_lst) - - # Get a (clipped) Dataset of hazard maps (also for a single hazard map input). - rp = None - for i, fn in enumerate(fn_lst): - if str(fn).endswith(".nc"): - if variable is None: + if crs is not None: + crs_lst = [str(crs)] if isinstance(crs, (int, str)) else crs + self.check_param_type(crs_lst, name="crs", types=(int, str)) + if nodata is not None: + nodata_lst = [nodata] if isinstance(nodata, (float, int)) else nodata + self.check_param_type(nodata_lst, name="nodata", types=(float, int)) + if var is not None: + var_lst = [var] if isinstance(var, str) else var + self.check_param_type(var_lst, name="var", types=str) + + # Check if the hazard input files exist. + self.check_file_exist(map_fn_lst, name="map_fn") + + # Read the hazard map(s) and add to config and staticmaps. + for idx, da_map_fn in enumerate(map_fn_lst): + da_name = da_map_fn.stem + da_type = self.get_param( + map_type_lst, map_fn_lst, "hazard", da_name, idx, "map type" + ) + + # Get the local hazard map. + kwargs.update(chunks=chunks if chunks == "auto" else chunks_lst[idx]) + if da_map_fn.suffix == ".nc": + if var is None: raise ValueError( - "The 'variable' parameter is required when reading netcdf data." + "The 'var' parameter is required when reading NetCDF data." ) - kwargs.update(driver="netcdf") - if len(fn_lst) == len(var_lst): - kwargs.update(variables=[var_lst[i]]) - if len(fn_lst) == len(rp_lst): - rp = rp_lst[i] - ds = self.data_catalog.get_rasterdataset( - fn, geom=self.region, single_var_as_array=False, **kwargs + kwargs.update(variables=self.get_param( + var_lst, map_fn_lst, "hazard", da_name, idx, "NetCDF variable" + )) + da = self.data_catalog.get_rasterdataset( + da_map_fn, geom=self.region, **kwargs ) - if self.staticmaps and not self.staticmaps.raster.identical_grid(ds): - raise ValueError("The hazard maps should have identical grids.") + + # Set (if necessary) the coordinate reference system. + if crs is not None and not da.raster.crs.is_epsg_code: + da_crs = self.get_param( + crs_lst, map_fn_lst, "hazard", da_name, idx, + "coordinate reference system", + ) + da_crs_str = da_crs if "EPSG" in da_crs else f"EPSG:{da_crs}" + da.raster.set_crs(da_crs_str) + elif crs is None and not da.raster.crs.is_epsg_code: + raise ValueError( + "The hazard map has no coordinate reference system assigned." + ) + + # Set (if necessary) and mask the nodata value. + if nodata is not None: + da_nodata = self.get_param( + nodata_lst, map_fn_lst, "hazard", da_name, idx, "nodata" + ) + da.raster.set_nodata(nodata=da_nodata) + elif nodata is None and da.raster.nodata is None: + raise ValueError( + "The hazard map has no nodata value assigned." + ) # Correct (if necessary) the grid orientation from the lower to the upper left corner. - if ds.raster.res[1] > 0: - ds = ds.reindex({ds.raster.y_dim: list(reversed(ds.raster.ycoords))}) + if da.raster.res[1] > 0: + da = da.reindex({da.raster.y_dim: list(reversed(da.raster.ycoords))}) - # Rename the hazard map and add to staticmaps. - hazard_type = self.get_config("hazard_type", fallback="flooding") - for j, name in enumerate(ds.data_vars): - da = ds[name] + # Check if the obtained hazard map is identical. + if self.staticmaps and not self.staticmaps.raster.identical_grid(da): + raise ValueError( + "The hazard maps should have identical grids." + ) - # Get the return period per input parameter. - if len(rp_lst) == len(var_lst) == len(ds.data_vars): - rp = rp_lst[j] + # Get the return period input parameter. + da_rp = self.get_param(rp_lst, map_fn_lst, "hazard", da_name, idx, + "return period") if "rp_lst" in locals() else None + if self.get_config("risk_output") and da_rp is None: # Get (if possible) the return period from dataset names if the input parameter is None. - elif len(ds.data_vars) > 1: + if "rp" in da_name.lower(): + fstrip = lambda x: x in "0123456789." + rp_str = "".join( + filter(fstrip, da_name.lower().split("rp")[-1]) + ).lstrip("0") try: - # Get the numeric part (including ".") after "rp" (if in name). - fstrip = lambda x: x in "0123456789." - rps = "".join(filter(fstrip, name.lower().split("rp")[-1])) - rp = literal_eval(rps) - assert isinstance(rp, (int, float)) - except (ValueError, AssertionError): + assert isinstance(literal_eval(rp_str) if rp_str else None, + (int, float)) + da_rp = literal_eval(rp_str) + except AssertionError: raise ValueError( - f"Could not derive the return periods for hazard map: {name}." + f"Could not derive the return period for hazard map: {da_name}." ) - - # Rename the hazard file name. - rp_str = f"rp{rp}" if rp is not None else "" - out_name = f"{hazard_type}_{rp_str}" - hazard_fn = join( - self.root, "hazard", f"{out_name}.tif" - ) # TODO: Comment to disable absolute paths! - # hazard_fn = join("hazard", f"{out_name}.tif") # TODO: Uncomment to enable relative paths with respect to root! - - # Add the hazard map to staticmaps. - self.set_staticmaps(da, out_name) - - # Update the config with filepath. - if rp is not None: - post = f"(rp {rp})" - self.set_config("hazard", rp, hazard_fn) else: - post = "" - self.set_config("hazard", hazard_fn) - self.logger.debug( - f"Added {hazard_type} hazard layer: {out_name} {post}" - ) + raise ValueError( + "The hazard map must contain a return period in order to conduct a risk calculation." + ) + + # Add the hazard map to config and staticmaps. + hazard_type = self.get_config("hazard_type", fallback="flooding") + self.check_uniqueness( + "hazard", + da_type, + da_name, + { + "usage": True, + "map_fn": da_map_fn, + "map_type": da_type, + "rp": da_rp, + "crs": da.raster.crs, + "nodata": da.raster.nodata, + "var": None if "var_lst" not in locals() else var_lst[idx], + "chunks": "auto" if chunks == "auto" else chunks_lst[idx], + }, + file_type="hazard", + filename=da_name, + ) + self.set_config( + "hazard", + da_type, + da_name, + { + "usage": "True", + "map_fn": da_map_fn, + "map_type": da_type, + "rp": da_rp, + "crs": da.raster.crs, + "nodata": da.raster.nodata, + "var": None if "var_lst" not in locals() else var_lst[idx], + "chunks": "auto" if chunks == "auto" else chunks_lst[idx], + }, + ) + self.set_staticmaps(da, da_name) + post = f"(rp {da_rp})" if rp is not None and self.get_config( + "risk_output") else "" + self.logger.info( + f"Added {hazard_type} hazard map: {da_name} {post}" + ) - def setup_exposure_buildings( + def setup_buildings_value( self, - bld_fn=None, - pop_fn=None, - country=None, + bld_fn="wsf_bld_2015", + pop_fn="ghs_pop_2015", + chunks="auto", unit="USD", + scale_factor=1, + weight_factor=1, + function_fn=None, + country=None, + **kwargs, + ): """Add a buildings value exposure map to the FIAT model schematization. Adds model layer: - * **exposure** map: An exposure map with the nomenclature . + * **exposure** map: A raster map with the nomenclature 'buildings_value'. Parameters ---------- bld_fn: str - Nametag of the global building footprints dataset (raster file). + Name tag of or absolute or relative (with respect to the configuration file) path to the building footprint file. The default value is 'wsf_bld_2015'. pop_fn: str - Nametag of the global population dataset (raster file). - country: str, optional - Country name or tag in which the hazard region is location. Required to derive the damage function and - potential damage values associated to the hazard region. + Name tag of or absolute or relative (with respect to the configuration file) path to the population count file. The default value is 'ghs_pop_2015'. + chunks: int, optional + Chunk sizes along each dimension used to load the building footprint and population count files into a dask arrays. The default value is 'auto'. + function_fn: dict, optional + Absolute or relative (with respect to the configuration file or susceptibility directory) path to the susceptibility file. The default value is the JCR continental susceptibilty function (https://publications.jrc.ec.europa.eu/repository/handle/JRC105688) related to the country parameter. + scale_factor: int, float, optional + Scaling factor of the exposure values. The default value is 1. + weight_factor: int, float, optional + Weight factor of the exposure values in the total damage and risk results. The default value is 1. """ if bld_fn and pop_fn: + kwargs.update(chunks=chunks) + + # TODO: Make sure that the kwargs of layers in the .ylm can be overwritten! + # Clip the building footprint map from the global dataset and store as a xarray.DataArray. da_bld = self.data_catalog.get_rasterdataset( bld_fn, geom=self.region, buffer=4, + **kwargs, ).rename("bld") # Clip the population map from the global dataset and store as a xarray.DataArray. @@ -245,8 +328,11 @@ def setup_exposure_buildings( pop_fn, geom=self.region, buffer=4, + **kwargs, ).rename("pop") + # TODO: Make sure that the create_population_per_building_map is memory proof! + # Create the population, buildings and population per building count maps and store as a xarray.DataSet. ds_count = workflows.create_population_per_building_map( da_bld, @@ -260,59 +346,89 @@ def setup_exposure_buildings( self.set_staticmaps(ds_count["pop"], name="population_count") self.set_staticmaps(ds_count["pop_bld"], name="population_buildings_count") - # Create the buildings value map. if "population_buildings_count" in self.staticmaps.data_vars: # Get the associated country tag (alpha-3 code). - tag = self._get_country_tag(country) + tag = self.get_country_tag(country) - # Get the associated vulnerability (damage function id and maximum damage value). - df_id, max_damage = self._get_vulnerability() + # Get the associated susceptibility information (function id and maximum damage value). + sf_id, max_damage = self.get_susceptibility_function() self.logger.debug( "Calculating building values with maximum damage: " f"{max_damage:.2f} {unit:s}/person (country = {tag:s})." ) + # Copy the susceptibility function file to the susceptibility folder. + if not function_fn: + sf_path = Path(self._DATADIR).joinpath( + "damage_functions", + self.get_config("hazard_type"), + self.get_config("hazard_unit"), + f"{sf_id}.csv", + ) + else: + self.check_file_exist([function_fn], name="sf_path") + sf_path = list(function_fn.values())[0] + + copy( + sf_path, + Path(self.get_config("susceptibility_dp")).joinpath(sf_path.name), + ) + # Create a building value map. ds_bld_value = self.staticmaps["population_buildings_count"] * max_damage ds_bld_value.raster.set_nodata(nodata=0) ds_bld_value.name = "bld_value" - # Add the buildings value map to staticmaps. - self.set_staticmaps(ds_bld_value, name="buildings_value") - # Check if the buildings value map has correctly been generated. else: raise ValueError( "The buildings value exposure layer is not correctly generated." ) - # Add the buildings value map to the config. - exp_layer = { - "use": 1, - "category": "Buildings Value", - "max_damage": 1, - "bu": 0, - "function": df_id, - "map": 1, - "scale_factor": 1, - "raster": join( - self.get_config("exposure", fallback=""), "buildings_value.tif" - ), - "unit": unit, - } - - lyrs = [int(key.split("_")[1]) for key in self.config if key.startswith("exp_")] - if lyrs: - for i in lyrs: - if self.config[f"exp_{i}"]["category"] == "Buildings Value": - lyr = int(i) - else: - lyr = max(lyrs) + 1 - else: - lyr = 1 - - self.set_config(f"exp_{lyr}", exp_layer) - self.logger.debug(f"Added exposure layer: Buildings Value") + # Add the buildings value map to config and staticmaps. + map_name = "buildings_value" + self.check_uniqueness( + "exposure", + map_name, + { + "usage": True, + "map_fn": self.get_config("exposure_dp").joinpath("buildings_value.tif"), + "category": map_name, + "subcategory": None, + "unit": unit, + "crs": ds_bld_value.raster.crs, + "nodata": ds_bld_value.raster.nodata, + "chunks": chunks, + "function_fn": {"water_depth" if not function_fn else list(function_fn.keys())[0]: sf_path.name}, + "comp_alg": "max", + "scale_factor": scale_factor, + "weight_factor": weight_factor, + }, + file_type="exposure", + filename=map_name, + ) + self.set_config( + "exposure", + map_name, + { + "usage": True, + "map_fn": self.get_config("exposure_dp").joinpath("buildings_value.tif"), + "category": map_name, + "subcategory": None, + "unit": unit, + "crs": ds_bld_value.raster.crs, + "nodata": ds_bld_value.raster.nodata, + "chunks": chunks, + "function_fn": {"water_depth" if not function_fn else list(function_fn.keys())[0]: sf_path.name}, + "comp_alg": "max", + "scale_factor": scale_factor, + "weight_factor": weight_factor, + }, + ) + self.set_staticmaps(ds_bld_value, map_name) + self.logger.info( + "Added exposure map: buildings value" + ) def setup_exposure_roads( self, @@ -327,16 +443,18 @@ def scale_exposure( self, scenario, year, + ref_year=2015, ): - """Scale the exposure to the forecast year, using the shared socioeconomic pathway (SSP) projections for - population and GDP growth. + """Scale the exposure to the forecast year, using the shared socioeconomic pathway (SSP) projections for population and GDP growth. Parameters ---------- scenario: str - Nametag of the shared socioeconomic pathway (SSP), required for a forecast calculation. + Name tag of the shared socioeconomic pathway (SSP), required for a forecast calculation. year: int The forecast year to which the exposure data is scaled. + ref_year: int, optional + The reference year from which the population originates. The default value is 2015 (related to the default 'ghs_pop_2015' population layer). """ # Set the scenario and year config parameters. @@ -344,20 +462,22 @@ def scale_exposure( self.set_config("year", year) # Determine the scale factor. - pop_correction = self._get_population_correction_factor() - gdp_correction = self._get_gdp_correction_factor() + pop_correction = self.get_population_correction_factor(ref_year) + gdp_correction = self.get_gdp_correction_factor() scale_factor = pop_correction * gdp_correction # Set the scale factor. - for row in range(7, 99): - exp_layer = self.get_config(f"exp_{row - 6}", fallback={}) - if not exp_layer: - break + for exposure_fn in self.get_config("exposure"): + self.set_config( + "exposure", + exposure_fn, + "scale_factor", + scale_factor, + ) - exp_layer["scale_factor"] = scale_factor - self.set_config(f"exp_{row - 6}", exp_layer) + """ SUPPORT FUNCTIONS """ - def _get_country_tag(self, country): + def get_country_tag(self, country): """Return the country tag for a country name input.""" # Get the country tag from the country name. @@ -376,8 +496,7 @@ def _get_country_tag(self, country): tag = ( df_config.loc[ df_config["Country_Name"] == country, "Alpha-3" - ].values[0] - if country in df_config["Country_Name"].tolist() + ].values[0] if country in df_config["Country_Name"].tolist() else None ) else: @@ -385,34 +504,77 @@ def _get_country_tag(self, country): # If the country tag is not valid, get the country tag from nearest country. if not tag in df_config["Alpha-3"].tolist(): - tag = self._get_nearest_country() + tag = self.get_nearest_country() self.logger.debug( "The country tag (related to the country name) is not valid." "The country tag of the nearest country is used instead." ) - else: - # If the country parameter is None, get the country tag from nearest country. - country = self._get_nearest_country() - # Set the country tag. self.set_config("country", tag) return tag - def _get_nearest_country(self): - """Return the country tag of the nearest country.""" + def get_gdp_correction_factor(self): + """ """ - # Read the global exposure configuration. - df_config = pd.read_excel( - Path(self._DATADIR).joinpath("global_configuration.xlsx"), - sheet_name="Buildings", + # Read the global SSP data. + df_pop = pd.read_excel( + Path(self._DATADIR).joinpath("growth_scenarios", "global_pop.xlsx"), + sheet_name="Data", + ) + df_gdp = pd.read_excel( + Path(self._DATADIR).joinpath("growth_scenarios", "global_gdp(ppp).xlsx"), + sheet_name="Data", ) - # TODO: Lookup country from shapefile! - pass + # Extract the national data. + pop_data = ( + df_pop.loc[ + (df_pop["Region"] == self.config["country"]) + & (df_pop["Scenario"] == self.config["scenario"]) + ] + .reset_index(drop=True) + .iloc[:, 5:-1] + ) + gdp_data = ( + df_gdp.loc[ + (df_gdp["Region"] == self.config["country"]) + & (df_gdp["Scenario"] == self.config["scenario"]) + ] + .reset_index(drop=True) + .iloc[:, 5:-1] + ) - def _get_vulnerability(self): - """Return the damage function id and the maximum damage number.""" + # In case multiple data sources are available, use the averaged values. + pop_data = pop_data.mean(axis=0) + gdp_data = gdp_data.mean(axis=0) + + # Determine the GDP(PPP) per capita and interpolate (linear) the data to obtain annual results. + gdp_ppp_data = gdp_data * 1000 / pop_data + annual_gdp_per_cap_data = np.array( + range(int(gdp_ppp_data.index[0]), int(gdp_ppp_data.index[-1]) + 1, 1) + ) + interp_gdp_per_cap_data = list( + np.interp( + annual_gdp_per_cap_data, + gdp_ppp_data.index.astype(int).values, + gdp_ppp_data.values.astype(float), + ) + ) + + # Determine the indexes of the reference year (2019) and the forecast year. + ref_year_idx = list(annual_gdp_per_cap_data).index(2019) + forecast_year_idx = list(annual_gdp_per_cap_data).index(self.config["year"]) + + # Calculate the correction factor. + correction_factor = ( + annual_gdp_per_cap_data[forecast_year_idx] / annual_gdp_per_cap_data[ref_year_idx] + ) + + return correction_factor + + def get_nearest_country(self): + """Return the country tag of the nearest country.""" # Read the global exposure configuration. df_config = pd.read_excel( @@ -420,21 +582,23 @@ def _get_vulnerability(self): sheet_name="Buildings", ) - # Get the damage function id. - df_id = df_config.loc[ - df_config["Alpha-3"] == self.config["country"], - f"Damage_Function_ID_{self.config['hazard_type'].capitalize()}", - ].values[0] + # TODO: Lookup country from shapefile! + pass - # Get the maximum damage value. - max_damage = df_config.loc[ - df_config["Alpha-3"] == self.config["country"], - f"Max_Damage_{self.config['hazard_type']. capitalize()}", - ].values[0] + def get_param(self, param_lst, map_fn_lst, file_type, filename, i, param_name): + """ """ - return df_id, max_damage + if len(param_lst) == 1: + return param_lst[0] + elif len(param_lst) != 1 and len(map_fn_lst) == len(param_lst): + return param_lst[i] + elif len(param_lst) != 1 and len(map_fn_lst) != len(param_lst): + raise IndexError( + f"Could not derive the {param_name} parameter for {file_type} " + f"map: {filename}." + ) - def _get_population_correction_factor(self): + def get_population_correction_factor(self, ref_year): """ """ # Read the global SSP data. @@ -468,8 +632,11 @@ def _get_population_correction_factor(self): ) ) - # Determine the indexes of the reference year (GHS 2015) and the forecast year. - ref_year_idx = list(annual_pop_data).index(2015) + # Determine the indexes of the reference year (2015) and the forecast year. + + # TODO: Check if the population map is the default layer (ghs_pop_2015), otherwise give warning that the reference does not relate to the layer! + + ref_year_idx = list(annual_pop_data).index(ref_year) forecast_year_idx = list(annual_pop_data).index(self.config["year"]) # Calculate the correction factor. @@ -479,68 +646,99 @@ def _get_population_correction_factor(self): return pop_correction - def _get_gdp_correction_factor(self): - """ """ + def get_susceptibility_function(self): + """Return the susceptibility function id and the maximum damage number.""" - # Read the global SSP data. - df_pop = pd.read_excel( - Path(self._DATADIR).joinpath("growth_scenarios", "global_pop.xlsx"), - sheet_name="Data", - ) - df_gdp = pd.read_excel( - Path(self._DATADIR).joinpath("growth_scenarios", "global_gdp(ppp).xlsx"), - sheet_name="Data", + # Read the global exposure configuration. + df_config = pd.read_excel( + Path(self._DATADIR).joinpath("global_configuration.xlsx"), + sheet_name="Buildings", ) - # Extract the national data. - pop_data = ( - df_pop.loc[ - (df_pop["Region"] == self.config["country"]) - & (df_pop["Scenario"] == self.config["scenario"]) - ] - .reset_index(drop=True) - .iloc[:, 5:-1] - ) - gdp_data = ( - df_gdp.loc[ - (df_gdp["Region"] == self.config["country"]) - & (df_gdp["Scenario"] == self.config["scenario"]) - ] - .reset_index(drop=True) - .iloc[:, 5:-1] - ) + # Get the function id. + sf_id = df_config.loc[ + df_config["Alpha-3"] == self.config["country"], + f"Damage_Function_ID_{self.config['hazard_type'].capitalize()}", + ].values[0] - # In case multiple data sources are available, use the averaged values. - pop_data = pop_data.mean(axis=0) - gdp_data = gdp_data.mean(axis=0) + # Get the maximum damage value. + max_damage = df_config.loc[ + df_config["Alpha-3"] == self.config["country"], + f"Max_Damage_{self.config['hazard_type']. capitalize()}", + ].values[0] - # Determine the GDP(PPP) per capita and interpolate (linear) the data to obtain annual results. - gdp_ppp_data = gdp_data * 1000 / pop_data - annual_gdp_per_cap_data = np.array( - range(int(gdp_ppp_data.index[0]), int(gdp_ppp_data.index[-1]) + 1, 1) - ) - interp_gdp_per_cap_data = list( - np.interp( - annual_gdp_per_cap_data, - gdp_ppp_data.index.astype(int).values, - gdp_ppp_data.values.astype(float), - ) - ) + return sf_id, max_damage - # FIXME: why is the reference factor fixe to 2019?! - # Determine the indexes of the reference year (2019) and the forecast year. - ref_year_idx = list(annual_gdp_per_cap_data).index(2019) - forecast_year_idx = list(annual_gdp_per_cap_data).index(self.config["year"]) + def read(self): + """Method to read the complete model schematization and configuration from file.""" - # Calculate the correction factor. - correction_factor = ( - annual_gdp_per_cap_data[forecast_year_idx] - / annual_gdp_per_cap_data[ref_year_idx] - ) + self.logger.info(f"Reading model data from {self.root}") + self.read_config() + self.read_staticmaps() + self.read_staticgeoms() - return correction_factor + def read_forcing(self): + """Read forcing at and parse to dict of xr.DataArray.""" + + return self._forcing + # raise NotImplementedError() + + def read_results(self): + """Read results at and parse to dict of xr.DataArray.""" + + return self._results + # raise NotImplementedError() + + def read_states(self): + """Read states at and parse to dict of xr.DataArray.""" + + return self._states + # raise NotImplementedError() + + def read_staticgeoms(self): + """Read staticgeoms at and parse to dict of GeoPandas.""" + + if not self._write: + self._staticgeoms = dict() + region_fn = Path(self.root).joinpath("region.GeoJSON") + if region_fn.is_file(): + self.set_staticgeoms(gpd.read_file(region_fn), "region") + + return self._staticgeoms + + def read_staticmaps(self): + """Read staticmaps at and parse to xarray Dataset.""" + + if not self._write: + self._staticmaps = xr.Dataset() + + # Read the hazard maps. + for hazard_fn in [ + j["map_fn"] for i in self.get_config("hazard") for j in + self.get_config("hazard", i).values() + ]: + if not hazard_fn.is_file(): + raise ValueError( + f"Could not find the hazard map: {hazard_fn}." + ) + else: + self.set_staticmaps( + hydromt.open_raster(hazard_fn), + name=hazard_fn.stem, + ) + + # Read the exposure maps. + for exposure_fn in [i["map_fn"] for i in self.get_config("exposure").values()]: + if not exposure_fn.is_file(): + raise ValueError( + f"Could not find the exposure map: {hazard_fn}." + ) + else: + self.set_staticmaps( + hydromt.open_raster(exposure_fn), + name=exposure_fn.stem, + ) - # Overwrite the model_api methods for root and config. def set_root(self, root=None, mode="w"): """Initialized the model root. In read mode it checks if the root exists. @@ -553,210 +751,43 @@ def set_root(self, root=None, mode="w"): mode: {"r", "r+", "w"}, optional Read/write-only mode for model files. """ + # Do super method and update absolute paths in config. - if root is None and self.root is not None: - root = self.root + if root is None: + root = Path(self._config_fn).parent super().set_root(root=root, mode=mode) if self._write and root is not None: - root = abspath(root) + self._root = Path(root) # Set the general information. - # TODO: Comment to disable absolute paths! - self.set_config("vulnerability", join(root, "vulnerability")) - self.set_config("exposure", join(root, "exposure")) - self.set_config("output", join(root, "output")) - # TODO: Uncomment to enable relative paths with respect to the root! - # self.set_config("vulnerability", "vulnerability") - # self.set_config("exposure", "exposure") - # self.set_config("output", "output") - # Set the hazard information. - hazard_maps = self.get_config("hazard") - if isinstance(hazard_maps, dict): - # TODO: Comment to disable absolute paths! - hazard_maps = { - k: join(root, "hazard", basename(v)) for k, v in hazard_maps.items() - } - # TODO: Uncomment to enable relative paths with respect to the root! - # hazard_maps = {k: join("hazard", basename(v)) for k, v in hazard_maps.items()} - self.set_config("hazard", hazard_maps) - elif isinstance(hazard_maps, str): - # TODO: Comment to disable absolute paths! - self.set_config("hazard", join(root, "hazard", basename(hazard_maps))) - # TODO: Uncomment to enable relative paths with respect to the root! - # self.set_config("hazard", join("hazard", basename(hazard_maps))) - - # Set the exposure information. - for row in range(7, 99): - exp_layer = self.get_config(f"exp_{row - 6}", fallback={}) - if not exp_layer: - break - - exp_layer["raster"] = join( - self.config["exposure"], basename(exp_layer["raster"]) - ) - self.set_config(f"exp_{row - 6}", exp_layer) - - def _configread(self, fn): - """Parse fiat_configuration.xlsx and risk.csv to dict.""" - - wb = load_workbook(filename=fn) - ws = wb["Input"] - config = dict() - - # Read the general information. - general_config = { - "country": ws["B1"].value, - "case": ws["B2"].value, - "hazard_type": ws["B3"].value, - "unit": ws["B5"].value, - "scenario": ws["J1"].value, - "year": ws["J2"].value, - "vulnerability": ws["J3"].value, - "exposure": ws["J4"].value, - "output": ws["J5"].value, - } - general_config = {k: v for k, v in general_config.items() if v is not None} - config.update(general_config) - - # Read the hazard information. - hazard_fn = ws["B4"].value - if hazard_fn: - if Path(hazard_fn).suffix == ".csv": - hazard_maps = {} - with open(join(dirname(fn), "risk.csv"), "r") as f: - lines = f.readlines() - for line in lines[1:]: - map_fn, rp = line.strip("\n").split(",", maxsplit=2) - - # Strip white spaces and parse rp to int or float with literal_eval. - hazard_maps.update({literal_eval(rp.strip()): map_fn.strip()}) - - config.update({"hazard": hazard_maps}) - else: - config.update({"hazard": hazard_fn}) - - # Read the exposure information. - for row in range(7, 99): - if ws[f"A{row}"].value is None: - break - exp_layer = { - "use": ws[f"A{row}"].value, - "category": ws[f"B{row}"].value, - "max_damage": ws[f"C{row}"].value, - "bu": ws[f"D{row}"].value, - "function": ws[f"F{row}"].value, - "map": ws[f"H{row}"].value, - "scale_factor": ws[f"I{row}"].value, - "raster": ws[f"J{row}"].value, - "unit": ws[f"K{row}"].value, - "landuse": ws[f"L{row}"].value, - } - exp_layer = {k: v for k, v in exp_layer.items() if v is not None} - config.update({f"exp_{row-6}": exp_layer}) - - wb.close() - return config - - def _configwrite(self, fn): - """Write config to fiat_configuration.xlsx and risk.csv""" - - # Load the template. - fn_temp = join(self._DATADIR, self._NAME, self._CONF) - wb = load_workbook(filename=fn_temp) - ws = wb["Input"] - - # Store the general information. - general_config = { - "B1": "country", - "B2": "case", - "B3": "hazard_type", - "B5": "unit", - "J1": "scenario", - "J2": "year", - "J3": "vulnerability", - "J4": "exposure", - "J5": "output", - } - for loc, key in general_config.items(): - value = self.get_config(key) - if value is not None: - ws[loc] = str(value) - - # Store the hazard information. - hazard_maps = self.get_config("hazard") - if isinstance(hazard_maps, dict): - rpmin, rpmax = min(hazard_maps.keys()), max(hazard_maps.keys()) - with open(join(dirname(fn), "risk.csv"), "w") as f: - f.write(f"{rpmin}, {rpmax}\n") - for rp in sorted(hazard_maps.keys()): - # TODO: Comment to disable absolute paths! - map_fn = abspath(hazard_maps[rp]) - # TODO: Uncomment to enable relative paths with respect to the root! - # map_fn = hazard_maps[rp] - f.write(f"{map_fn:s}, {rp}\n") - - # TODO: Comment to disable absolute paths! - ws["B4"] = join(self.root, "risk.csv") - # TODO: Uncomment to enable relative paths with respect to the root! - # ws["B4"] = "risk.csv" - elif isinstance(hazard_maps, str): - ws["B4"] = abspath(hazard_maps) # TODO: Comment to disable absolute paths! - # ws["B4"] = hazard_maps # TODO: Uncomment to enable relative paths with respect to the root! - - # Store the exposure information. - for row in range(7, 99): - exp_layer = self.get_config(f"exp_{row-6}", fallback={}) - if not exp_layer: - break - - # Write with fallback options. - ws[f"A{row}"] = int(exp_layer.get("use", 0)) - ws[f"B{row}"] = str(exp_layer.get("category", "")) - ws[f"C{row}"] = float(exp_layer.get("max_damage", 0)) - ws[f"D{row}"] = float(exp_layer.get("bu", 0)) - ws[f"F{row}"] = str(exp_layer.get("function", "")) - ws[f"H{row}"] = int(exp_layer.get("map", 1)) - ws[f"I{row}"] = float(exp_layer.get("scale_factor", 1)) - ws[f"J{row}"] = str(exp_layer.get("raster", "")) - ws[f"K{row}"] = str(exp_layer.get("unit", "")) - ws[f"L{row}"] = str(exp_layer.get("landuse", "")) - - # Copy the damage function file. - - # TODO: Comment to disable absolute paths! - copy( - Path(self._DATADIR).joinpath( - "damage_functions", - self.config["hazard_type"], - self.config["unit"], - f"{exp_layer.get('function', '')}.csv", - ), - Path(self.config["vulnerability"]).joinpath( - f"{exp_layer.get('function', '')}.csv" - ), - ) - - # TODO: Uncomment to enable relative paths with respect to the root! - # copy( - # Path(self._DATADIR).joinpath( - # "damage_functions", self.config["hazard_type"], self.config["unit"], - # f"{exp_layer.get('function', '')}.csv" - # ), - # Path(self.root).joinpath(self.config["vulnerability"], f"{exp_layer.get('function', '')}.csv") - # ) - - # Write to file. - wb.save(fn) - wb.close() - - ## I/O - def read(self): - """Method to read the complete model schematization and configuration from file.""" + self.set_config("hazard_dp", self.root.joinpath("hazard")) + self.set_config("exposure_dp", self.root.joinpath("exposure")) + self.set_config("susceptibility_dp", self.root.joinpath("susceptibility")) + self.set_config("output_dp", self.root.joinpath("output")) - self.logger.info(f"Reading model data from {self.root}") - self.read_config() - self.read_staticmaps() - self.read_staticgeoms() + # Set the hazard information. + if self.get_config("hazard"): + for hazard_type, hazard_scenario in self.get_config("hazard").items(): + for hazard_fn in hazard_scenario: + hazard_scenario[hazard_fn]["map_fn"] = self.root.joinpath( + hazard_scenario[hazard_fn]["map_fn"].name, + ) + self.set_config( + "hazard", + hazard_type, + hazard_fn, + hazard_scenario[hazard_fn], + ) + if self.get_config("exposure"): + for exposure_fn in self.get_config("exposure"): + self.set_config( + "exposure", + exposure_fn, + "map_fn", + self.root.joinpath( + self.get_config("exposure", exposure_fn, "map_fn").name, + ), + ) def write(self): """Method to write the complete model schematization and configuration to file.""" @@ -775,42 +806,32 @@ def write(self): if self._forcing: self.write_forcing() - def read_staticmaps(self): - """Read staticmaps at and parse to xarray Dataset.""" + def write_forcing(self): + """write forcing at in model ready format.""" - # to read gdal raster files use: hydromt.open_mfraster() - # to read netcdf use: xarray.open_dataset() - if not self._write: - # start fresh in read-only mode - self._staticmaps = xr.Dataset() + pass + # raise NotImplementedError() - # Read the hazard maps. - hazard_maps = self.get_config("hazard") - fn_lst = [] - if isinstance(hazard_maps, dict): - fn_lst = list(hazard_maps.values()) - elif isinstance(hazard_maps, str): - fn_lst = [hazard_maps] - - for fn in fn_lst: - # fn = join(self.root, fn) # TODO: Uncomment to enable relative paths with respect to the root! - name = basename(fn).rsplit(".", maxsplit=2)[0] - if not isfile(fn): - logger.warning(f"Could not find hazard map at {fn}.") - else: - self.set_staticmaps(hydromt.open_raster(fn), name=name) + def write_results(self): + """write results at in model ready format.""" - # Read the exposure maps. - exp_root = self.get_config("exposure") - if exp_root is not None: - # TODO: Comment to disable absolute paths! - fns = glob.glob(join(exp_root, "*.tif")) - # TODO: Uncomment to enable relative paths with respect to the root! - # fns = glob.glob(join(self.root, exp_root, "*.tif")) - if len(fns) == 0: - logger.warning(f"Could not find any expsure maps in {exp_root}.") - else: - self.set_staticmaps(hydromt.open_mfraster(fns)) + pass + # raise NotImplementedError() + + def write_states(self): + """write states at in model ready format.""" + + pass + # raise NotImplementedError() + + def write_staticgeoms(self): + """Write staticmaps at in model ready format.""" + + if not self._write: + raise IOError("Model opened in read-only mode") + if self._staticgeoms: + for name, gdf in self._staticgeoms.items(): + gdf.to_file(join(self.root, f"{name}.geojson"), driver="GeoJSON") def write_staticmaps(self, compress="lzw"): """Write staticmaps at in model ready format.""" @@ -819,72 +840,223 @@ def write_staticmaps(self, compress="lzw"): # to write to netcdf use: self.staticmaps.to_netcdf() if not self._write: raise IOError("Model opened in read-only mode.") - hazard_type = self.get_config("hazard_type", fallback="flooding") - hazard_maps = [n for n in self.staticmaps.data_vars if hazard_type in n] + hazard_maps = [ + j for i in self.get_config("hazard") for j in self.get_config("hazard", i) + ] if len(hazard_maps) > 0: self.staticmaps[hazard_maps].raster.to_mapstack( - join(self.root, "hazard"), compress=compress + self.get_config("hazard_dp"), compress=compress ) - exposure_maps = [n for n in self.staticmaps.data_vars if hazard_type not in n] + exposure_maps = [ + i for i in self.staticmaps.data_vars if i not in hazard_maps + ] if len(exposure_maps) > 0: - exp_root = self.get_config("exposure") self.staticmaps[exposure_maps].raster.to_mapstack( - exp_root, compress=compress - ) # TODO: Comment to disable absolute paths! - # TODO: Uncomment to enable relative paths with respect to the root! - # self.staticmaps[exposure_maps].raster.to_mapstack(join(self.root, exp_root), compress=compress) + self.get_config("exposure_dp"), compress=compress + ) - def read_staticgeoms(self): - """Read staticgeoms at and parse to dict of GeoPandas.""" + def _configread(self, fn): + """Parse fiat_configuration.ini to dict.""" - if not self._write: - # start fresh in read-only mode - self._staticgeoms = dict() - region_fn = join(self.root, "region.GeoJSON") - if isfile(region_fn): - self.set_staticgeoms(gpd.read_file(region_fn), "region") - return self._staticgeoms + # Read and parse the fiat_configuration.ini. + opt = parse_config(fn) - def write_staticgeoms(self): - """Write staticmaps at in model ready format.""" + # Store the general information. + config = opt["setup_config"] - if not self._write: - raise IOError("Model opened in read-only mode") - if self._staticgeoms: - for name, gdf in self._staticgeoms.items(): - gdf.to_file(join(self.root, f"{name}.geojson"), driver="GeoJSON") + # Store the hazard information. + config["hazard"] = {} + for hazard_dict in [opt[key] for key in opt.keys() if "hazard" in key]: + hazard_dict.update({ + "map_fn": config["hazard_dp"].joinpath(hazard_dict["map_fn"]) + }) + if not hazard_dict["map_type"] in config["hazard"].keys(): + config["hazard"][hazard_dict["map_type"]] = { + hazard_dict["map_fn"].stem: hazard_dict, + } + else: + config["hazard"][hazard_dict["map_type"]].update({ + hazard_dict["map_fn"].stem: hazard_dict, + }) - def read_forcing(self): - """Read forcing at and parse to dict of xr.DataArray.""" + # Store the exposure information. + config["exposure"] = {} + for exposure_dict in [opt[key] for key in opt.keys() if "exposure" in key]: + exposure_dict.update({ + "map_fn": config["exposure_dp"].joinpath(exposure_dict["map_fn"]) + }) + config["exposure"].update({ + exposure_dict["map_fn"].stem: exposure_dict, + }) - return self._forcing - # raise NotImplementedError() + return config - def write_forcing(self): - """write forcing at in model ready format.""" - pass - # raise NotImplementedError() + def _configwrite(self, fn): + """Write config to fiat_configuration.ini""" - def read_states(self): - """Read states at and parse to dict of xr.DataArray.""" + parser = ConfigParser() - return self._states - # raise NotImplementedError() + # Store the general information. + parser["setup_config"] = { + "case": str(self.config.get("case")), + "strategy": str(self.config.get("strategy")), + "scenario": str(self.config.get("scenario")), + "year": str(self.config.get("year")), + "hazard_type": str(self.config.get("hazard_type")), + "output_unit": str(self.config.get("output_unit")), + "hazard_dp": str(self.config.get("hazard_dp").name), + "exposure_dp": str(self.config.get("exposure_dp").name), + "susceptibility_dp": str(self.config.get("susceptibility_dp").name), + "output_dp": str(self.config.get("output_dp").name), + "category_output": str(self.config.get("category_output")), + "total_output": str(self.config.get("total_output")), + "risk_output": str(self.config.get("risk_output")), + "map_output": str(self.config.get("map_output")), + } - def write_states(self): - """write states at in model ready format.""" + # Store the hazard information. + for idx, hazard_scenario in enumerate([ + (i, j) for i in self.get_config("hazard") for j in + self.get_config("hazard", i) + ]): + section_name = f"setup_hazard{idx + 1}" + parser.add_section(section_name) + for key in self.get_config("hazard", hazard_scenario[0], hazard_scenario[1]): + if key == "map_fn": + parser.set( + section_name, + key, + str(self.get_config( + "hazard", + hazard_scenario[0], + hazard_scenario[1], + key, + ).name), + ) + else: + parser.set( + section_name, + key, + str(self.get_config( + "hazard", + hazard_scenario[0], + hazard_scenario[1], + key, + )), + ) - pass - # raise NotImplementedError() + # Store the exposure information. + for idx, exposure_fn in enumerate(self.get_config("exposure")): + section_name = f"setup_exposure{idx + 1}" + parser.add_section(section_name) + for key in self.get_config("exposure", exposure_fn): + if key == "map_fn": + parser.set( + section_name, + key, + str(self.get_config("exposure", exposure_fn, key).name), + ) + else: + parser.set( + section_name, + key, + str(self.get_config("exposure", exposure_fn, key)), + ) - def read_results(self): - """Read results at and parse to dict of xr.DataArray.""" + # Save the configuration file. + with open(self.root.joinpath(self._CONF), 'w') as config: + parser.write(config) - return self._results - # raise NotImplementedError() + """ CONTROL FUNCTIONS """ - def write_results(self): - """write results at in model ready format.""" + def check_dir_exist(self, dir, name=None): + """ """ - pass - # raise NotImplementedError() + if not isinstance(dir, Path): + raise TypeError( + f"The directory indicated by the '{name}' parameter does not exist." + ) + + def check_file_exist(self, param_lst, name=None, input_dir=None): + """ """ + + for param_idx, param in enumerate(param_lst): + if isinstance(param, dict): + fn_lst = list(param.values()) + else: + fn_lst = [param] + for fn_idx, fn in enumerate(fn_lst): + if not Path(fn).is_file(): + if self.root.joinpath(fn).is_file(): + if isinstance(param, dict): + param_lst[param_idx][list(param.keys())[fn_idx]] = self.root.joinpath(fn) + else: + param_lst[param_idx] = self.root.joinpath(fn) + if input_dir is not None: + if self.get_config(input_dir).joinpath(fn).is_file(): + if isinstance(param, dict): + param_lst[param_idx][list(param.keys())[fn_idx]] = self.get_config(input_dir).joinpath(fn) + else: + param_lst[param_idx] = self.get_config(input_dir).joinpath(fn) + else: + if isinstance(param, dict): + param_lst[param_idx][list(param.keys())[fn_idx]] = Path(fn) + else: + param_lst[param_idx] = Path(fn) + try: + if isinstance(param, dict): + assert isinstance(param_lst[param_idx][list(param.keys())[fn_idx]], Path) == True + else: + assert isinstance(param_lst[param_idx], Path) == True + except AssertionError: + if input_dir is None: + raise TypeError( + f"The file indicated by the '{name}' parameter does not" + f" exist in the directory '{self.root}'." + ) + else: + raise TypeError( + f"The file indicated by the '{name}' parameter does not" + f" exist in either of the directories '{self.root}' or " + f"'{self.get_config(input_dir)}'." + ) + + def check_param_type(self, param, name=None, types=None): + """ """ + + if not isinstance(param, list): + raise TypeError( + f"The '{name}_lst' parameter should be a of {list}, received a " + f"{type(param)} instead." + ) + for i in param: + if not isinstance(i, types): + if isinstance(types, tuple): + types = " or ".join([str(j) for j in types]) + else: + types = types + raise TypeError( + f"The '{name}' parameter should be a of {types}, received a " + f"{type(i)} instead." + ) + + def check_uniqueness(self, *args, file_type=None, filename=None): + """ """ + + args = list(args) + if len(args) == 1 and '.' in args[0]: + args = args[0].split('.') + args[1:] + branch = args.pop(-1) + for key in args[::-1]: + branch = {key: branch} + + if self.get_config(args[0], args[1]): + for key in self.staticmaps.data_vars: + if filename == key: + raise ValueError( + f'The filenames of the {file_type} maps should be unique.' + ) + if self.get_config(args[0], args[1], key) == list(branch[args[0]][args[1]].values())[0]: + raise ValueError( + f"Each model input layers must be unique." + ) \ No newline at end of file diff --git a/hydromt_fiat/workflows/buildings.py b/hydromt_fiat/workflows/buildings.py index 73b2b6df..ffb60b3f 100644 --- a/hydromt_fiat/workflows/buildings.py +++ b/hydromt_fiat/workflows/buildings.py @@ -90,7 +90,6 @@ def create_population_per_building_map( ar_pop_bld_density = np.where( ar_bld_count != 0, (da_pop_density * ar_area_count) / ar_bld_count, 0 ) - else: ar_pop_count = np.full_like(da_bld, fill_value=0) ar_area_count = np.full_like(da_bld, fill_value=0) @@ -99,7 +98,6 @@ def create_population_per_building_map( ar_pop_bld_density = np.where( da_bld_density != 0, ar_pop_count / (da_bld_density * ar_area_count), 0 ) - da_pop_bld_density = raster.RasterDataArray.from_numpy( data=ar_pop_bld_density, transform=da_low_res.raster.transform, @@ -109,7 +107,7 @@ def create_population_per_building_map( # Reproject the density maps to the hazard projection. logger.debug( - "Upscaling the population per building map to the hazard resolution." + "Downscaling the population per building map to the hazard resolution." ) da_bld_density = da_bld_density.raster.reproject_like(ds_like, method="average") da_pop_density = da_pop_density.raster.reproject_like(ds_like, method="average") @@ -128,7 +126,7 @@ def create_population_per_building_map( elif da_bld_res < ds_like_res and da_pop_res < ds_like_res: # Reproject the density maps to the hazard projection. logger.debug( - "Downscaling the population per building map to the hazard resolution." + "Upscaling the population per building map to the hazard resolution." ) da_bld_density = da_bld_density.raster.reproject_like(ds_like, method="average") da_pop_density = da_pop_density.raster.reproject_like(ds_like, method="average") diff --git a/tests/test_model_class.py b/tests/test_model_class.py index f92c34f9..006f95d5 100644 --- a/tests/test_model_class.py +++ b/tests/test_model_class.py @@ -91,4 +91,4 @@ def test_model_build(tmpdir, case): if mod0._config: mod0.set_root(mod1.root) mod1.set_root(mod1.root) - assert mod0._config == mod1._config, f"config mismatch" + assert mod0._config == mod1._config, f"config mismatch" \ No newline at end of file From 56be6f5c95ee0474fd5a56d78ef47595da5382f9 Mon Sep 17 00:00:00 2001 From: LaurensLeunge Date: Mon, 13 Sep 2021 18:50:00 +0200 Subject: [PATCH 2/9] Adjusted zero value of damage functions. --- .../damage_functions/erosion/ft/GL000.csv | 1926 ++++++++-------- .../damage_functions/erosion/inch/GL000.csv | 1984 ++++++++--------- .../data/damage_functions/erosion/m/GL000.csv | 2 +- .../damage_functions/flooding/ft/AF000.csv | 796 +++---- .../damage_functions/flooding/ft/AS000.csv | 796 +++---- .../damage_functions/flooding/ft/AS001.csv | 796 +++---- .../damage_functions/flooding/ft/CA000.csv | 1194 +++++----- .../damage_functions/flooding/ft/EU000.csv | 796 +++---- .../damage_functions/flooding/ft/EU001.csv | 994 ++++----- .../damage_functions/flooding/ft/GL000.csv | 794 +++---- .../damage_functions/flooding/ft/GL001.csv | 796 +++---- .../damage_functions/flooding/ft/NA000.csv | 758 +++---- .../damage_functions/flooding/ft/OC000.csv | 796 +++---- .../damage_functions/flooding/ft/SA000.csv | 1194 +++++----- .../damage_functions/flooding/inch/AF000.csv | 798 +++---- .../damage_functions/flooding/inch/AS000.csv | 798 +++---- .../damage_functions/flooding/inch/AS001.csv | 798 +++---- .../damage_functions/flooding/inch/CA000.csv | 1196 +++++----- .../damage_functions/flooding/inch/EU000.csv | 798 +++---- .../damage_functions/flooding/inch/EU001.csv | 996 ++++----- .../damage_functions/flooding/inch/GL000.csv | 796 +++---- .../damage_functions/flooding/inch/GL001.csv | 798 +++---- .../damage_functions/flooding/inch/NA000.csv | 758 +++---- .../damage_functions/flooding/inch/OC000.csv | 798 +++---- .../damage_functions/flooding/inch/SA000.csv | 1196 +++++----- .../damage_functions/flooding/m/AF000.csv | 2 +- .../damage_functions/flooding/m/AS000.csv | 2 +- .../damage_functions/flooding/m/AS001.csv | 2 +- .../damage_functions/flooding/m/CA000.csv | 2 +- .../damage_functions/flooding/m/EU000.csv | 2 +- .../damage_functions/flooding/m/EU001.csv | 2 +- .../damage_functions/flooding/m/GL000.csv | 2 +- .../damage_functions/flooding/m/GL001.csv | 2 +- .../damage_functions/flooding/m/NA000.csv | 2 +- .../damage_functions/flooding/m/OC000.csv | 2 +- .../damage_functions/flooding/m/SA000.csv | 2 +- 36 files changed, 11687 insertions(+), 11687 deletions(-) diff --git a/hydromt_fiat/data/damage_functions/erosion/ft/GL000.csv b/hydromt_fiat/data/damage_functions/erosion/ft/GL000.csv index 36c10dfd..f836845a 100644 --- a/hydromt_fiat/data/damage_functions/erosion/ft/GL000.csv +++ b/hydromt_fiat/data/damage_functions/erosion/ft/GL000.csv @@ -1,5 +1,5 @@ Water Depth [ft],Factor -0,0 +0.0,0.0 0.0328,1 0.0656,1 0.0984,1 @@ -30,973 +30,973 @@ 0.9186,1 0.9514,1 0.9843,1 -1.0171,1 -1.0499,1 -1.0827,1 -1.1155,1 -1.1483,1 -1.1811,1 -1.2139,1 -1.2467,1 -1.2795,1 -1.3123,1 -1.3451,1 -1.378,1 -1.4108,1 -1.4436,1 -1.4764,1 -1.5092,1 -1.542,1 -1.5748,1 -1.6076,1 -1.6404,1 -1.6732,1 -1.706,1 -1.7388,1 -1.7717,1 -1.8045,1 -1.8373,1 -1.8701,1 -1.9029,1 -1.9357,1 -1.9685,1 -2.0013,1 -2.0341,1 -2.0669,1 -2.0997,1 -2.1325,1 -2.1654,1 -2.1982,1 -2.231,1 -2.2638,1 -2.2966,1 -2.3294,1 -2.3622,1 -2.395,1 -2.4278,1 -2.4606,1 -2.4934,1 -2.5262,1 -2.5591,1 -2.5919,1 -2.6247,1 -2.6575,1 -2.6903,1 -2.7231,1 -2.7559,1 -2.7887,1 -2.8215,1 -2.8543,1 -2.8871,1 -2.9199,1 -2.9528,1 -2.9856,1 -3.0184,1 -3.0512,1 -3.084,1 -3.1168,1 -3.1496,1 -3.1824,1 -3.2152,1 -3.248,1 -3.2808,1 -3.3136,1 -3.3465,1 -3.3793,1 -3.4121,1 -3.4449,1 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+392.126,10 +3.925.197,10 +3.929.134,10 +3.933.071,10 +3.937.008,10 diff --git a/hydromt_fiat/data/damage_functions/erosion/m/GL000.csv b/hydromt_fiat/data/damage_functions/erosion/m/GL000.csv index 008b2487..7dd88f34 100644 --- a/hydromt_fiat/data/damage_functions/erosion/m/GL000.csv +++ b/hydromt_fiat/data/damage_functions/erosion/m/GL000.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,1 0.02,1 0.03,1 diff --git a/hydromt_fiat/data/damage_functions/flooding/ft/AF000.csv b/hydromt_fiat/data/damage_functions/flooding/ft/AF000.csv index a846a353..1c87e6f2 100644 --- a/hydromt_fiat/data/damage_functions/flooding/ft/AF000.csv +++ b/hydromt_fiat/data/damage_functions/flooding/ft/AF000.csv @@ -1,5 +1,5 @@ Water Depth [ft],Factor -0,0 +0.0,0.0 0.0328,0.0046 0.0656,0.0092 0.0984,0.0138 @@ -599,404 +599,404 @@ 19.5866,0.9988 19.6194,0.9992 19.6522,0.9996 -19.685,1 -19.7178,1 -19.7507,1 -19.7835,1 -19.8163,1 -19.8491,1 -19.8819,1 -19.9147,1 -19.9475,1 -19.9803,1 -20.0131,1 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b/hydromt_fiat/data/damage_functions/flooding/ft/GL000.csv @@ -1,5 +1,5 @@ Water Depth [ft],Factor -0,0 +0.0,0.0 0.0328,0.0074 0.0656,0.0149 0.0984,0.0223 @@ -600,403 +600,403 @@ 19.6194,0.9984 19.6522,0.9986 19.685,0.9989 -19.7178,1 -19.7507,1 -19.7835,1 -19.8163,1 -19.8491,1 -19.8819,1 -19.9147,1 -19.9475,1 -19.9803,1 -20.0131,1 -20.0459,1 -20.0787,1 -20.1115,1 -20.1444,1 -20.1772,1 +197.178,10 +197.507,10 +197.835,10 +198.163,10 +198.491,10 +198.819,10 +199.147,10 +199.475,10 +199.803,10 +200.131,10 +200.459,10 +200.787,10 +201.115,10 +201.444,10 +201.772,10 20.21,1 -20.2428,1 -20.2756,1 -20.3084,1 -20.3412,1 -20.374,1 -20.4068,1 -20.4396,1 -20.4724,1 -20.5052,1 -20.5381,1 -20.5709,1 -20.6037,1 -20.6365,1 -20.6693,1 -20.7021,1 -20.7349,1 -20.7677,1 -20.8005,1 -20.8333,1 -20.8661,1 -20.899,1 -20.9318,1 -20.9646,1 -20.9974,1 -21.0302,1 -21.063,1 -21.0958,1 -21.1286,1 -21.1614,1 -21.1942,1 -21.227,1 -21.2598,1 -21.2927,1 -21.3255,1 -21.3583,1 -21.3911,1 -21.4239,1 -21.4567,1 -21.4895,1 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b/hydromt_fiat/data/damage_functions/flooding/ft/NA000.csv index 74416ce7..9963e999 100644 --- a/hydromt_fiat/data/damage_functions/flooding/ft/NA000.csv +++ b/hydromt_fiat/data/damage_functions/flooding/ft/NA000.csv @@ -1,5 +1,5 @@ Water Depth [ft],Factor -0,0 +0.0,0.0 0.0328,0.0096 0.0656,0.0193 0.0984,0.0289 @@ -619,384 +619,384 @@ 20.2428,0.9989 20.2756,0.9992 20.3084,0.9996 -20.3412,1 -20.374,1 -20.4068,1 -20.4396,1 -20.4724,1 -20.5052,1 -20.5381,1 -20.5709,1 -20.6037,1 -20.6365,1 -20.6693,1 -20.7021,1 -20.7349,1 -20.7677,1 -20.8005,1 -20.8333,1 -20.8661,1 -20.899,1 -20.9318,1 -20.9646,1 -20.9974,1 -21.0302,1 -21.063,1 -21.0958,1 -21.1286,1 -21.1614,1 -21.1942,1 -21.227,1 -21.2598,1 -21.2927,1 -21.3255,1 -21.3583,1 -21.3911,1 -21.4239,1 -21.4567,1 -21.4895,1 -21.5223,1 -21.5551,1 -21.5879,1 -21.6207,1 -21.6535,1 -21.6864,1 -21.7192,1 -21.752,1 -21.7848,1 -21.8176,1 -21.8504,1 -21.8832,1 -21.916,1 -21.9488,1 -21.9816,1 -22.0144,1 -22.0472,1 -22.0801,1 -22.1129,1 -22.1457,1 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a/hydromt_fiat/data/damage_functions/flooding/inch/AF000.csv +++ b/hydromt_fiat/data/damage_functions/flooding/inch/AF000.csv @@ -1,5 +1,5 @@ Water Depth [inch],Factor -0,0 +0.0,0.0 0.3937,0.0046 0.7874,0.0092 1.1811,0.0138 @@ -599,404 +599,404 @@ 235.0394,0.9988 235.4331,0.9992 235.8268,0.9996 -236.2205,1 -236.6142,1 -237.0079,1 -237.4016,1 -237.7953,1 -238.189,1 -238.5827,1 -238.9764,1 -239.3701,1 -239.7638,1 -240.1575,1 -240.5512,1 -240.9449,1 -241.3386,1 -241.7323,1 -242.126,1 -242.5197,1 -242.9134,1 -243.3071,1 -243.7008,1 -244.0945,1 -244.4882,1 -244.8819,1 -245.2756,1 -245.6693,1 -246.063,1 -246.4567,1 -246.8504,1 -247.2441,1 -247.6378,1 -248.0315,1 -248.4252,1 -248.8189,1 -249.2126,1 -249.6063,1 +2.362.205,10 +2.366.142,10 +2.370.079,10 +2.374.016,10 +2.377.953,10 +238.189,10 +2.385.827,10 +2.389.764,10 +2.393.701,10 +2.397.638,10 +2.401.575,10 +2.405.512,10 +2.409.449,10 +2.413.386,10 +2.417.323,10 +242.126,10 +2.425.197,10 +2.429.134,10 +2.433.071,10 +2.437.008,10 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a/hydromt_fiat/data/damage_functions/flooding/m/AS000.csv b/hydromt_fiat/data/damage_functions/flooding/m/AS000.csv index 9fbcba3a..a68cb606 100644 --- a/hydromt_fiat/data/damage_functions/flooding/m/AS000.csv +++ b/hydromt_fiat/data/damage_functions/flooding/m/AS000.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.0067 0.02,0.0133 0.03,0.02 diff --git a/hydromt_fiat/data/damage_functions/flooding/m/AS001.csv b/hydromt_fiat/data/damage_functions/flooding/m/AS001.csv index d56bf4f0..b7d117d5 100644 --- a/hydromt_fiat/data/damage_functions/flooding/m/AS001.csv +++ b/hydromt_fiat/data/damage_functions/flooding/m/AS001.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.0043 0.02,0.0086 0.03,0.0129 diff --git a/hydromt_fiat/data/damage_functions/flooding/m/CA000.csv b/hydromt_fiat/data/damage_functions/flooding/m/CA000.csv index cfb0cf74..0f07708d 100644 --- a/hydromt_fiat/data/damage_functions/flooding/m/CA000.csv +++ b/hydromt_fiat/data/damage_functions/flooding/m/CA000.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.0099 0.02,0.0199 0.03,0.0298 diff --git a/hydromt_fiat/data/damage_functions/flooding/m/EU000.csv b/hydromt_fiat/data/damage_functions/flooding/m/EU000.csv index 93ecebbc..feac4d20 100644 --- a/hydromt_fiat/data/damage_functions/flooding/m/EU000.csv +++ b/hydromt_fiat/data/damage_functions/flooding/m/EU000.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.0049 0.02,0.0098 0.03,0.0146 diff --git a/hydromt_fiat/data/damage_functions/flooding/m/EU001.csv b/hydromt_fiat/data/damage_functions/flooding/m/EU001.csv index a95e6258..3cd84ff7 100644 --- a/hydromt_fiat/data/damage_functions/flooding/m/EU001.csv +++ b/hydromt_fiat/data/damage_functions/flooding/m/EU001.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.005 0.02,0.01 0.03,0.015 diff --git a/hydromt_fiat/data/damage_functions/flooding/m/GL000.csv b/hydromt_fiat/data/damage_functions/flooding/m/GL000.csv index 967dcece..2877f66e 100644 --- a/hydromt_fiat/data/damage_functions/flooding/m/GL000.csv +++ b/hydromt_fiat/data/damage_functions/flooding/m/GL000.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.0074 0.02,0.0149 0.03,0.0223 diff --git a/hydromt_fiat/data/damage_functions/flooding/m/GL001.csv b/hydromt_fiat/data/damage_functions/flooding/m/GL001.csv index 8195d0f9..54ba053a 100644 --- a/hydromt_fiat/data/damage_functions/flooding/m/GL001.csv +++ b/hydromt_fiat/data/damage_functions/flooding/m/GL001.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.0046 0.02,0.0093 0.03,0.0139 diff --git a/hydromt_fiat/data/damage_functions/flooding/m/NA000.csv b/hydromt_fiat/data/damage_functions/flooding/m/NA000.csv index 95a97a4a..7371174c 100644 --- a/hydromt_fiat/data/damage_functions/flooding/m/NA000.csv +++ b/hydromt_fiat/data/damage_functions/flooding/m/NA000.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.0096 0.02,0.0193 0.03,0.0289 diff --git a/hydromt_fiat/data/damage_functions/flooding/m/OC000.csv b/hydromt_fiat/data/damage_functions/flooding/m/OC000.csv index 9c03c17f..9b214c8c 100644 --- a/hydromt_fiat/data/damage_functions/flooding/m/OC000.csv +++ b/hydromt_fiat/data/damage_functions/flooding/m/OC000.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.0093 0.02,0.0186 0.03,0.0279 diff --git a/hydromt_fiat/data/damage_functions/flooding/m/SA000.csv b/hydromt_fiat/data/damage_functions/flooding/m/SA000.csv index cfb0cf74..0f07708d 100644 --- a/hydromt_fiat/data/damage_functions/flooding/m/SA000.csv +++ b/hydromt_fiat/data/damage_functions/flooding/m/SA000.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.0099 0.02,0.0199 0.03,0.0298 From d8dbf2021a1859ffd976f60d503f32e3956fcebf Mon Sep 17 00:00:00 2001 From: LaurensLeunge Date: Wed, 15 Sep 2021 16:08:32 +0200 Subject: [PATCH 3/9] Added xlsxwriter package to the project environment. --- envs/hydromt-fiat-dev.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/envs/hydromt-fiat-dev.yml b/envs/hydromt-fiat-dev.yml index ec65801d..dace1ad7 100644 --- a/envs/hydromt-fiat-dev.yml +++ b/envs/hydromt-fiat-dev.yml @@ -22,7 +22,7 @@ dependencies: - nbsphinx # docs - numba - numpy - - openpyxl + - openpyxln - pandas - pip - pyflwdir>=0.4.7 @@ -37,4 +37,5 @@ dependencies: - sphinx # docs - sphinx_rtd_theme # docs - xarray + - xlsxwriter - zarr \ No newline at end of file From 0801d0106d2dfabcfbcea05f244a0798d0e74f90 Mon Sep 17 00:00:00 2001 From: LaurensLeunge Date: Wed, 15 Sep 2021 22:10:23 +0200 Subject: [PATCH 4/9] Fixed a bug in get_gdp_correction_factor(). --- envs/hydromt-fiat-dev.yml | 2 +- examples/fiat_flood/fiat_configuration.ini | 1 + examples/fiat_flood/susceptibility/EU000.csv | 2 +- hydromt_fiat/fiat.py | 7 ++++--- 4 files changed, 7 insertions(+), 5 deletions(-) diff --git a/envs/hydromt-fiat-dev.yml b/envs/hydromt-fiat-dev.yml index dace1ad7..9f7cd691 100644 --- a/envs/hydromt-fiat-dev.yml +++ b/envs/hydromt-fiat-dev.yml @@ -22,7 +22,7 @@ dependencies: - nbsphinx # docs - numba - numpy - - openpyxln + - openpyxl - pandas - pip - pyflwdir>=0.4.7 diff --git a/examples/fiat_flood/fiat_configuration.ini b/examples/fiat_flood/fiat_configuration.ini index 02595b7b..4577666d 100644 --- a/examples/fiat_flood/fiat_configuration.ini +++ b/examples/fiat_flood/fiat_configuration.ini @@ -3,6 +3,7 @@ case = baseline strategy = base scenario = base year = 2021 +country = ITA hazard_type = flooding output_unit = USD hazard_dp = hazard diff --git a/examples/fiat_flood/susceptibility/EU000.csv b/examples/fiat_flood/susceptibility/EU000.csv index 93ecebbc..feac4d20 100644 --- a/examples/fiat_flood/susceptibility/EU000.csv +++ b/examples/fiat_flood/susceptibility/EU000.csv @@ -1,5 +1,5 @@ Water Depth [m],Factor -0,0 +0.0,0.0 0.01,0.0049 0.02,0.0098 0.03,0.0146 diff --git a/hydromt_fiat/fiat.py b/hydromt_fiat/fiat.py index ce17e9d0..d6a5b09a 100644 --- a/hydromt_fiat/fiat.py +++ b/hydromt_fiat/fiat.py @@ -357,7 +357,7 @@ def setup_buildings_value( f"{max_damage:.2f} {unit:s}/person (country = {tag:s})." ) - # Copy the susceptibility function file to the susceptibility folder. + # Copy the susceptibility function file to the susceptibility folder. # TODO: Move the copy part to self._configwrite (otherwise issues occur after reading the model)! if not function_fn: sf_path = Path(self._DATADIR).joinpath( "damage_functions", @@ -430,7 +430,7 @@ def setup_buildings_value( "Added exposure map: buildings value" ) - def setup_exposure_roads( + def setup_roads_value( self, exposure_fn, category, @@ -568,7 +568,7 @@ def get_gdp_correction_factor(self): # Calculate the correction factor. correction_factor = ( - annual_gdp_per_cap_data[forecast_year_idx] / annual_gdp_per_cap_data[ref_year_idx] + interp_gdp_per_cap_data[forecast_year_idx] / interp_gdp_per_cap_data[ref_year_idx] ) return correction_factor @@ -902,6 +902,7 @@ def _configwrite(self, fn): "strategy": str(self.config.get("strategy")), "scenario": str(self.config.get("scenario")), "year": str(self.config.get("year")), + "country": str(self.get_config("country")), "hazard_type": str(self.config.get("hazard_type")), "output_unit": str(self.config.get("output_unit")), "hazard_dp": str(self.config.get("hazard_dp").name), From fc5e9d3d72d9a9e4b55432f92c38ace9b83da4ee Mon Sep 17 00:00:00 2001 From: LaurensLeunge Date: Tue, 12 Oct 2021 19:45:33 +0200 Subject: [PATCH 5/9] Bugfix in the buildings.py workflow. --- .../fiat_flood/exposure/buildings_count.tif | Bin 55384 -> 28686 bytes .../fiat_flood/exposure/buildings_value.tif | Bin 111353 -> 128608 bytes .../exposure/population_buildings_count.tif | Bin 111338 -> 128563 bytes .../fiat_flood/exposure/population_count.tif | Bin 209930 -> 228922 bytes hydromt_fiat/workflows/buildings.py | 48 ++++++++---------- 5 files changed, 21 insertions(+), 27 deletions(-) diff --git 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zdgscT?}@d5%FGBfA+La>j5@FUIvho#BRd;{Es^1iyeja9Ga3L)?ZyEn7D zKeO972cRw(;kE~%CK9#3wL4d}TT!*wmH+|98{$Q_duz6lCAR?_0>Ij1m$)8xxElcF zNPu_&4D=A7d${|O2jI#U0z?F$dKqAQx*Mgsn@9-3o-HA81iE{>d%L@Vh7p142muNP zU^ECj%e>)C5`Z{U0O|#s-M#>!z2JfiAl?R5rGml7zgR39Kpf9N2oGU+2fPEod Date: Thu, 21 Oct 2021 15:40:26 +0200 Subject: [PATCH 6/9] fix ref to yml environment; build env with mamba --- .github/workflows/docs.yml | 7 +++++-- .github/workflows/tests.yml | 9 ++++++--- 2 files changed, 11 insertions(+), 5 deletions(-) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 620656c7..d79051ce 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -27,9 +27,12 @@ jobs: - name: Setup environment uses: conda-incubator/setup-miniconda@v2 with: - environment-file: envs/hydromt-fiat.yml python-version: "3.9" - activate-environment: hydromt-fiat + mamba-version: "*" + channels: conda-forge,defaults + channel-priority: true + environment-file: envs/hydromt-fiat-dev.yml + activate-environment: hydromt-fiat-dev - name: Install hydromt-fiat run: flit install diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 64fd6855..dc511b52 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -23,16 +23,19 @@ jobs: - uses: actions/checkout@v2 - uses: conda-incubator/setup-miniconda@v2 with: - environment-file: envs/hydromt-fiat.yml python-version: ${{ matrix.python-version }} - activate-environment: hydromt-fiat + mamba-version: "*" + channels: conda-forge,defaults + channel-priority: true + environment-file: envs/hydromt-fiat-dev.yml + activate-environment: hydromt-fiat-dev - name: Conda info run: | conda info conda list - - name: Install fiat + - name: Install hydromt_fiat run: flit install - name: Test From e124d419532527423d080a355292c708578e6098 Mon Sep 17 00:00:00 2001 From: DirkEilander Date: Thu, 21 Oct 2021 15:40:39 +0200 Subject: [PATCH 7/9] fix pypi banner --- README.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.rst b/README.rst index 56349e1b..f8fafae9 100644 --- a/README.rst +++ b/README.rst @@ -12,7 +12,7 @@ hydroMT-fiat: FIAT plugin for hydroMT :target: https://deltares.github.io/hydromt_fiat/stable :alt: Stable docs last release -.. image:: https://pypip.in/v/hydromt_fiat/badge.png +.. image:: https://badge.fury.io/py/hydromt_fiat.svg :target: https://pypi.org/project/hydromt_fiat/ :alt: Latest PyPI version From ce99cf1348ba4643aef7d31a5eb1a6868c5adc6a Mon Sep 17 00:00:00 2001 From: DirkEilander Date: Thu, 21 Oct 2021 16:01:16 +0200 Subject: [PATCH 8/9] fix style & changelog --- docs/changelog.rst | 15 ++- hydromt_fiat/fiat.py | 201 ++++++++++++++++------------ hydromt_fiat/workflows/buildings.py | 11 +- tests/test_model_class.py | 2 +- 4 files changed, 138 insertions(+), 91 deletions(-) diff --git a/docs/changelog.rst b/docs/changelog.rst index 77369451..39d35039 100644 --- a/docs/changelog.rst +++ b/docs/changelog.rst @@ -5,8 +5,19 @@ All notable changes to this project will be documented in this page. The format is based on `Keep a Changelog`_, and this project adheres to `Semantic Versioning`_. -[Unreleased] ------------- +v0.1.9 (21 October 2021) +------------------------ + +This version is compatible with new FIAT raster (xarray) version + +Added +^^^^^ +- scaling functions for economic and population growth + +Fixed +^^^^^ +- bugfix resampling in buildings workflow + v0.0.1 (20 May 2021) -------------------- diff --git a/hydromt_fiat/fiat.py b/hydromt_fiat/fiat.py index d6a5b09a..27910aaf 100644 --- a/hydromt_fiat/fiat.py +++ b/hydromt_fiat/fiat.py @@ -90,7 +90,7 @@ def setup_hazard( self, map_fn, map_type, - chunks='auto', + chunks="auto", rp=None, crs=None, nodata=None, @@ -169,9 +169,11 @@ def setup_hazard( raise ValueError( "The 'var' parameter is required when reading NetCDF data." ) - kwargs.update(variables=self.get_param( - var_lst, map_fn_lst, "hazard", da_name, idx, "NetCDF variable" - )) + kwargs.update( + variables=self.get_param( + var_lst, map_fn_lst, "hazard", da_name, idx, "NetCDF variable" + ) + ) da = self.data_catalog.get_rasterdataset( da_map_fn, geom=self.region, **kwargs ) @@ -179,7 +181,11 @@ def setup_hazard( # Set (if necessary) the coordinate reference system. if crs is not None and not da.raster.crs.is_epsg_code: da_crs = self.get_param( - crs_lst, map_fn_lst, "hazard", da_name, idx, + crs_lst, + map_fn_lst, + "hazard", + da_name, + idx, "coordinate reference system", ) da_crs_str = da_crs if "EPSG" in da_crs else f"EPSG:{da_crs}" @@ -196,9 +202,7 @@ def setup_hazard( ) da.raster.set_nodata(nodata=da_nodata) elif nodata is None and da.raster.nodata is None: - raise ValueError( - "The hazard map has no nodata value assigned." - ) + raise ValueError("The hazard map has no nodata value assigned.") # Correct (if necessary) the grid orientation from the lower to the upper left corner. if da.raster.res[1] > 0: @@ -206,13 +210,16 @@ def setup_hazard( # Check if the obtained hazard map is identical. if self.staticmaps and not self.staticmaps.raster.identical_grid(da): - raise ValueError( - "The hazard maps should have identical grids." - ) + raise ValueError("The hazard maps should have identical grids.") # Get the return period input parameter. - da_rp = self.get_param(rp_lst, map_fn_lst, "hazard", da_name, idx, - "return period") if "rp_lst" in locals() else None + da_rp = ( + self.get_param( + rp_lst, map_fn_lst, "hazard", da_name, idx, "return period" + ) + if "rp_lst" in locals() + else None + ) if self.get_config("risk_output") and da_rp is None: # Get (if possible) the return period from dataset names if the input parameter is None. @@ -222,8 +229,9 @@ def setup_hazard( filter(fstrip, da_name.lower().split("rp")[-1]) ).lstrip("0") try: - assert isinstance(literal_eval(rp_str) if rp_str else None, - (int, float)) + assert isinstance( + literal_eval(rp_str) if rp_str else None, (int, float) + ) da_rp = literal_eval(rp_str) except AssertionError: raise ValueError( @@ -269,11 +277,12 @@ def setup_hazard( }, ) self.set_staticmaps(da, da_name) - post = f"(rp {da_rp})" if rp is not None and self.get_config( - "risk_output") else "" - self.logger.info( - f"Added {hazard_type} hazard map: {da_name} {post}" + post = ( + f"(rp {da_rp})" + if rp is not None and self.get_config("risk_output") + else "" ) + self.logger.info(f"Added {hazard_type} hazard map: {da_name} {post}") def setup_buildings_value( self, @@ -286,7 +295,6 @@ def setup_buildings_value( function_fn=None, country=None, **kwargs, - ): """Add a buildings value exposure map to the FIAT model schematization. @@ -392,14 +400,20 @@ def setup_buildings_value( map_name, { "usage": True, - "map_fn": self.get_config("exposure_dp").joinpath("buildings_value.tif"), + "map_fn": self.get_config("exposure_dp").joinpath( + "buildings_value.tif" + ), "category": map_name, "subcategory": None, "unit": unit, "crs": ds_bld_value.raster.crs, "nodata": ds_bld_value.raster.nodata, "chunks": chunks, - "function_fn": {"water_depth" if not function_fn else list(function_fn.keys())[0]: sf_path.name}, + "function_fn": { + "water_depth" + if not function_fn + else list(function_fn.keys())[0]: sf_path.name + }, "comp_alg": "max", "scale_factor": scale_factor, "weight_factor": weight_factor, @@ -412,23 +426,27 @@ def setup_buildings_value( map_name, { "usage": True, - "map_fn": self.get_config("exposure_dp").joinpath("buildings_value.tif"), + "map_fn": self.get_config("exposure_dp").joinpath( + "buildings_value.tif" + ), "category": map_name, "subcategory": None, "unit": unit, "crs": ds_bld_value.raster.crs, "nodata": ds_bld_value.raster.nodata, "chunks": chunks, - "function_fn": {"water_depth" if not function_fn else list(function_fn.keys())[0]: sf_path.name}, + "function_fn": { + "water_depth" + if not function_fn + else list(function_fn.keys())[0]: sf_path.name + }, "comp_alg": "max", "scale_factor": scale_factor, "weight_factor": weight_factor, }, ) self.set_staticmaps(ds_bld_value, map_name) - self.logger.info( - "Added exposure map: buildings value" - ) + self.logger.info("Added exposure map: buildings value") def setup_roads_value( self, @@ -496,7 +514,8 @@ def get_country_tag(self, country): tag = ( df_config.loc[ df_config["Country_Name"] == country, "Alpha-3" - ].values[0] if country in df_config["Country_Name"].tolist() + ].values[0] + if country in df_config["Country_Name"].tolist() else None ) else: @@ -568,7 +587,8 @@ def get_gdp_correction_factor(self): # Calculate the correction factor. correction_factor = ( - interp_gdp_per_cap_data[forecast_year_idx] / interp_gdp_per_cap_data[ref_year_idx] + interp_gdp_per_cap_data[forecast_year_idx] + / interp_gdp_per_cap_data[ref_year_idx] ) return correction_factor @@ -714,13 +734,12 @@ def read_staticmaps(self): # Read the hazard maps. for hazard_fn in [ - j["map_fn"] for i in self.get_config("hazard") for j in - self.get_config("hazard", i).values() + j["map_fn"] + for i in self.get_config("hazard") + for j in self.get_config("hazard", i).values() ]: if not hazard_fn.is_file(): - raise ValueError( - f"Could not find the hazard map: {hazard_fn}." - ) + raise ValueError(f"Could not find the hazard map: {hazard_fn}.") else: self.set_staticmaps( hydromt.open_raster(hazard_fn), @@ -730,9 +749,7 @@ def read_staticmaps(self): # Read the exposure maps. for exposure_fn in [i["map_fn"] for i in self.get_config("exposure").values()]: if not exposure_fn.is_file(): - raise ValueError( - f"Could not find the exposure map: {hazard_fn}." - ) + raise ValueError(f"Could not find the exposure map: {hazard_fn}.") else: self.set_staticmaps( hydromt.open_raster(exposure_fn), @@ -847,9 +864,7 @@ def write_staticmaps(self, compress="lzw"): self.staticmaps[hazard_maps].raster.to_mapstack( self.get_config("hazard_dp"), compress=compress ) - exposure_maps = [ - i for i in self.staticmaps.data_vars if i not in hazard_maps - ] + exposure_maps = [i for i in self.staticmaps.data_vars if i not in hazard_maps] if len(exposure_maps) > 0: self.staticmaps[exposure_maps].raster.to_mapstack( self.get_config("exposure_dp"), compress=compress @@ -867,27 +882,31 @@ def _configread(self, fn): # Store the hazard information. config["hazard"] = {} for hazard_dict in [opt[key] for key in opt.keys() if "hazard" in key]: - hazard_dict.update({ - "map_fn": config["hazard_dp"].joinpath(hazard_dict["map_fn"]) - }) + hazard_dict.update( + {"map_fn": config["hazard_dp"].joinpath(hazard_dict["map_fn"])} + ) if not hazard_dict["map_type"] in config["hazard"].keys(): config["hazard"][hazard_dict["map_type"]] = { hazard_dict["map_fn"].stem: hazard_dict, } else: - config["hazard"][hazard_dict["map_type"]].update({ - hazard_dict["map_fn"].stem: hazard_dict, - }) + config["hazard"][hazard_dict["map_type"]].update( + { + hazard_dict["map_fn"].stem: hazard_dict, + } + ) # Store the exposure information. config["exposure"] = {} for exposure_dict in [opt[key] for key in opt.keys() if "exposure" in key]: - exposure_dict.update({ - "map_fn": config["exposure_dp"].joinpath(exposure_dict["map_fn"]) - }) - config["exposure"].update({ - exposure_dict["map_fn"].stem: exposure_dict, - }) + exposure_dict.update( + {"map_fn": config["exposure_dp"].joinpath(exposure_dict["map_fn"])} + ) + config["exposure"].update( + { + exposure_dict["map_fn"].stem: exposure_dict, + } + ) return config @@ -916,34 +935,43 @@ def _configwrite(self, fn): } # Store the hazard information. - for idx, hazard_scenario in enumerate([ - (i, j) for i in self.get_config("hazard") for j in - self.get_config("hazard", i) - ]): + for idx, hazard_scenario in enumerate( + [ + (i, j) + for i in self.get_config("hazard") + for j in self.get_config("hazard", i) + ] + ): section_name = f"setup_hazard{idx + 1}" parser.add_section(section_name) - for key in self.get_config("hazard", hazard_scenario[0], hazard_scenario[1]): + for key in self.get_config( + "hazard", hazard_scenario[0], hazard_scenario[1] + ): if key == "map_fn": parser.set( section_name, key, - str(self.get_config( - "hazard", - hazard_scenario[0], - hazard_scenario[1], - key, - ).name), + str( + self.get_config( + "hazard", + hazard_scenario[0], + hazard_scenario[1], + key, + ).name + ), ) else: parser.set( section_name, key, - str(self.get_config( - "hazard", - hazard_scenario[0], - hazard_scenario[1], - key, - )), + str( + self.get_config( + "hazard", + hazard_scenario[0], + hazard_scenario[1], + key, + ) + ), ) # Store the exposure information. @@ -965,7 +993,7 @@ def _configwrite(self, fn): ) # Save the configuration file. - with open(self.root.joinpath(self._CONF), 'w') as config: + with open(self.root.joinpath(self._CONF), "w") as config: parser.write(config) """ CONTROL FUNCTIONS """ @@ -990,15 +1018,21 @@ def check_file_exist(self, param_lst, name=None, input_dir=None): if not Path(fn).is_file(): if self.root.joinpath(fn).is_file(): if isinstance(param, dict): - param_lst[param_idx][list(param.keys())[fn_idx]] = self.root.joinpath(fn) + param_lst[param_idx][ + list(param.keys())[fn_idx] + ] = self.root.joinpath(fn) else: param_lst[param_idx] = self.root.joinpath(fn) if input_dir is not None: if self.get_config(input_dir).joinpath(fn).is_file(): if isinstance(param, dict): - param_lst[param_idx][list(param.keys())[fn_idx]] = self.get_config(input_dir).joinpath(fn) + param_lst[param_idx][ + list(param.keys())[fn_idx] + ] = self.get_config(input_dir).joinpath(fn) else: - param_lst[param_idx] = self.get_config(input_dir).joinpath(fn) + param_lst[param_idx] = self.get_config( + input_dir + ).joinpath(fn) else: if isinstance(param, dict): param_lst[param_idx][list(param.keys())[fn_idx]] = Path(fn) @@ -1006,9 +1040,11 @@ def check_file_exist(self, param_lst, name=None, input_dir=None): param_lst[param_idx] = Path(fn) try: if isinstance(param, dict): - assert isinstance(param_lst[param_idx][list(param.keys())[fn_idx]], Path) == True + assert isinstance( + param_lst[param_idx][list(param.keys())[fn_idx]], Path + ) else: - assert isinstance(param_lst[param_idx], Path) == True + assert isinstance(param_lst[param_idx], Path) except AssertionError: if input_dir is None: raise TypeError( @@ -1045,8 +1081,8 @@ def check_uniqueness(self, *args, file_type=None, filename=None): """ """ args = list(args) - if len(args) == 1 and '.' in args[0]: - args = args[0].split('.') + args[1:] + if len(args) == 1 and "." in args[0]: + args = args[0].split(".") + args[1:] branch = args.pop(-1) for key in args[::-1]: branch = {key: branch} @@ -1055,9 +1091,10 @@ def check_uniqueness(self, *args, file_type=None, filename=None): for key in self.staticmaps.data_vars: if filename == key: raise ValueError( - f'The filenames of the {file_type} maps should be unique.' + f"The filenames of the {file_type} maps should be unique." ) - if self.get_config(args[0], args[1], key) == list(branch[args[0]][args[1]].values())[0]: - raise ValueError( - f"Each model input layers must be unique." - ) \ No newline at end of file + if ( + self.get_config(args[0], args[1], key) + == list(branch[args[0]][args[1]].values())[0] + ): + raise ValueError(f"Each model input layers must be unique.") diff --git a/hydromt_fiat/workflows/buildings.py b/hydromt_fiat/workflows/buildings.py index 74c35d20..bc3b1b41 100644 --- a/hydromt_fiat/workflows/buildings.py +++ b/hydromt_fiat/workflows/buildings.py @@ -107,9 +107,10 @@ def create_population_per_building_map( "Upscaling the building, population and population per building map to the hazard resolution." ) da_bld_count = da_bld.raster.reproject_like(ds_like, method="sum") - da_pop_count = da_pop_density.raster.reproject_like( - ds_like, method="average" - ) * da_like_area + da_pop_count = ( + da_pop_density.raster.reproject_like(ds_like, method="average") + * da_like_area + ) da_pop_bld_density = da_pop_bld_density.raster.reproject_like( ds_like, method="average" ) @@ -128,9 +129,7 @@ def create_population_per_building_map( da_pop_count = da_pop.raster.reproject_like(ds_like, method="sum") # Create the population per building count maps. - da_pop_bld_count = da_bld_count.where( - da_bld_count == 0, other=da_pop_count - ) + da_pop_bld_count = da_bld_count.where(da_bld_count == 0, other=da_pop_count) # Merge the output DataArrays into a DataSet. da_bld_count.raster.set_nodata(nodata=0) diff --git a/tests/test_model_class.py b/tests/test_model_class.py index 006f95d5..f92c34f9 100644 --- a/tests/test_model_class.py +++ b/tests/test_model_class.py @@ -91,4 +91,4 @@ def test_model_build(tmpdir, case): if mod0._config: mod0.set_root(mod1.root) mod1.set_root(mod1.root) - assert mod0._config == mod1._config, f"config mismatch" \ No newline at end of file + assert mod0._config == mod1._config, f"config mismatch" From 6d88a05967568167d8bcb69a6f341e2cb09bd740 Mon Sep 17 00:00:00 2001 From: DirkEilander Date: Thu, 21 Oct 2021 16:04:19 +0200 Subject: [PATCH 9/9] prepare release v0.1.9 --- hydromt_fiat/__init__.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/hydromt_fiat/__init__.py b/hydromt_fiat/__init__.py index 6645b55e..2c4d8ac1 100644 --- a/hydromt_fiat/__init__.py +++ b/hydromt_fiat/__init__.py @@ -2,8 +2,8 @@ from os.path import dirname, join, abspath - -__version__ = "0.1.2" +# NOTE version number without "v" +__version__ = "0.1.9" DATADIR = join(dirname(abspath(__file__)), "data")