From eeb21a29775425368bfd4544fe83d645a28b8991 Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Thu, 5 Oct 2023 10:21:39 +0200 Subject: [PATCH 01/13] create new test for building footprints --- tests/test_building_footprints.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 tests/test_building_footprints.py diff --git a/tests/test_building_footprints.py b/tests/test_building_footprints.py new file mode 100644 index 00000000..e69de29b From 10dd8b69441009307de23481a6f3010e3c2784f5 Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Thu, 5 Oct 2023 11:38:33 +0200 Subject: [PATCH 02/13] create building footprint test --- tests/test_building_footprint | 22 ++++++++++++++++++++++ tests/test_building_footprints.py | 0 2 files changed, 22 insertions(+) create mode 100644 tests/test_building_footprint delete mode 100644 tests/test_building_footprints.py diff --git a/tests/test_building_footprint b/tests/test_building_footprint new file mode 100644 index 00000000..17731b90 --- /dev/null +++ b/tests/test_building_footprint @@ -0,0 +1,22 @@ +from typing import Sequence +from _pytest.mark.structures import ParameterSet +from hydromt_fiat.fiat import FiatModel +from hydromt.log import setuplog +from pathlib import Path +import pytest +import geopandas as gpd +import pandas as pd +from hydromt_fiat.workflows.aggregation_areas import join_exposure_aggregation_areas +from hydromt_fiat.workflows.aggregation_areas import join_exposure_aggregation_multiple_areas + +from hydromt_fiat.workflows.exposure_vector import ExposureVector +from hydromt_fiat.workflows.vulnerability import Vulnerability + +import shutil + +# Load Datagit +EXAMPLEDIR = Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data") +Building_Footprint = [Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprints.gpkg")] + +bf_id = "BF_FID" + diff --git a/tests/test_building_footprints.py b/tests/test_building_footprints.py deleted file mode 100644 index e69de29b..00000000 From aacde2c811ceccce6379b0e2c2c810eeeb9595b3 Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Thu, 5 Oct 2023 13:52:45 +0200 Subject: [PATCH 03/13] update fiat.py, create bf function, create bf test --- hydromt_fiat/fiat.py | 11 ++- hydromt_fiat/workflows/building_footprints.py | 96 +++++++++++++++++++ tests/test_building_footprint | 22 ----- tests/test_building_footprints.py | 44 +++++++++ 4 files changed, 150 insertions(+), 23 deletions(-) create mode 100644 hydromt_fiat/workflows/building_footprints.py delete mode 100644 tests/test_building_footprint create mode 100644 tests/test_building_footprints.py diff --git a/hydromt_fiat/fiat.py b/hydromt_fiat/fiat.py index 3053418e..d7062c76 100644 --- a/hydromt_fiat/fiat.py +++ b/hydromt_fiat/fiat.py @@ -22,7 +22,7 @@ from .workflows.social_vulnerability_index import SocialVulnerabilityIndex from .workflows.vulnerability import Vulnerability from .workflows.aggregation_areas import join_exposure_aggregation_areas - +from .workflows.building_footprints import join_exposure_bf __all__ = ["FiatModel"] @@ -601,6 +601,15 @@ def setup_aggregation_areas( self.exposure.exposure_db = join_exposure_aggregation_areas( exposure_gdf, aggregation_area_fn, attribute_names, label_names ) + def setup_building_footprint( + self, + building_footprint_fn: Union[List[str], List[Path], str, Path], + attribute_names: Union[List[str], str], + ): + exposure_gdf = self.exposure.get_full_gdf(self.exposure.exposure_db) + self.exposure.exposure_db = join_exposure_bf( + exposure_gdf, building_footprint_fn, attribute_names, + ) # Update functions def update_all(self): diff --git a/hydromt_fiat/workflows/building_footprints.py b/hydromt_fiat/workflows/building_footprints.py new file mode 100644 index 00000000..79bd3968 --- /dev/null +++ b/hydromt_fiat/workflows/building_footprints.py @@ -0,0 +1,96 @@ +import geopandas as gpd +from typing import List, Union +from pathlib import Path + +def process_value(value): + if isinstance(value, list) and len(value) == 1: + return value[0] + elif isinstance(value, list) and len(value) > 1: + return ", ".join(value) + else: + return value + +def join_exposure_building_footprint( + exposure_gdf: gpd.GeoDataFrame, + building_footprint_fn: Union[List[str], List[Path]], + attribute_names: List[str], +) -> gpd.GeoDataFrame: + """_summary_ + + Parameters + ---------- + exposure_gdf : gpd.GeoDataFrame + _description_ + building_footprint_fn : Union[List[str], List[Path]] + _description_ + attribute_names : List[str] + _description_ + + + Returns + ------- + gpd.GeoDataFrame + _description_ + """ + for file_path, attribute_name in zip(building_footprint_fn, attribute_names): + bf_gdf = gpd.read_file(file_path) + + ## check the projection of both gdf and if not match, reproject + if exposure_gdf.crs != bf_gdf.crs: + bf_gdf = bf_gdf.to_crs(exposure_gdf.crs) + + + assert attribute_name in bf_gdf.columns, f"Attribute {attribute_name} not found in {file_path}" + + # If you overwrite the exposure_gdf with the joined data, you can append all + # aggregation areas to the same exposure_gdf + exposure_gdf = gpd.sjoin( + exposure_gdf, + bf_gdf[["geometry", attribute_name]], + op="intersects", + how="left", + ) + + # Create a string from the list of values in the duplicated aggregation area + # column + exposure_gdf[attribute_name] = exposure_gdf[attribute_name].apply(process_value) + + # Rename the 'aggregation_attribute' column to 'new_column_name'. Put in + # Documentation that the order the user put the label name must be the order of the gdf + exposure_gdf.rename(columns={attribute_name: "BF_FID"}, inplace=True) + + ##remove the index_right column + if "index_right" in exposure_gdf.columns: + del exposure_gdf["index_right"] + + return exposure_gdf + + +def join_exposure_bf( + exposure_gdf: gpd.GeoDataFrame, + building_footprint_fn: Union[List[str], List[Path], str, Path], + attribute_names: Union[List[str], str], +) -> gpd.GeoDataFrame: + """Join aggregation area labels to the exposure data. + + Parameters + ---------- + exposure_gdf : gpd.GeoDataFrame + Exposure data to join the aggregation areas to as "Aggregation + Label: `label_names`". + building_footprint_fn : Union[List[str], List[Path], str, Path] + Path(s) to the aggregation area(s). + attribute_names : Union[List[str], str] + Name of the attribute(s) to join. + + """ + if isinstance(building_footprint_fn, str) or isinstance(building_footprint_fn, Path): + building_footprint_fn = [building_footprint_fn] + if isinstance(attribute_names, str): + attribute_names = [attribute_names] + + exposure_gdf = join_exposure_building_footprint(exposure_gdf, building_footprint_fn, attribute_names) + + # Remove the geometry column from the exposure_gdf to return a dataframe + del exposure_gdf["geometry"] + return exposure_gdf diff --git a/tests/test_building_footprint b/tests/test_building_footprint deleted file mode 100644 index 17731b90..00000000 --- a/tests/test_building_footprint +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Sequence -from _pytest.mark.structures import ParameterSet -from hydromt_fiat.fiat import FiatModel -from hydromt.log import setuplog -from pathlib import Path -import pytest -import geopandas as gpd -import pandas as pd -from hydromt_fiat.workflows.aggregation_areas import join_exposure_aggregation_areas -from hydromt_fiat.workflows.aggregation_areas import join_exposure_aggregation_multiple_areas - -from hydromt_fiat.workflows.exposure_vector import ExposureVector -from hydromt_fiat.workflows.vulnerability import Vulnerability - -import shutil - -# Load Datagit -EXAMPLEDIR = Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data") -Building_Footprint = [Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprints.gpkg")] - -bf_id = "BF_FID" - diff --git a/tests/test_building_footprints.py b/tests/test_building_footprints.py new file mode 100644 index 00000000..2dcb4035 --- /dev/null +++ b/tests/test_building_footprints.py @@ -0,0 +1,44 @@ +from typing import Sequence +from _pytest.mark.structures import ParameterSet +from hydromt_fiat.fiat import FiatModel +from hydromt.log import setuplog +from pathlib import Path +import pytest +import geopandas as gpd +import pandas as pd +from hydromt_fiat.workflows.building_footprints import join_exposure_building_footprint +from hydromt_fiat.workflows.building_footprints import join_exposure_bf +from hydromt_fiat.workflows.exposure_vector import ExposureVector +from hydromt_fiat.workflows.vulnerability import Vulnerability +import shutil + +EXAMPLEDIR = Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data") + +#Create test +_cases = { + "bf_test_1": { + "new_root": Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output"), + "configuration": { + "setup_building_footprints": { + "building_footprints_fn": Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg"), + "attribute_name": "B_footprint", + } + }, + } +} + +# Set up Fiat Model +@pytest.mark.parametrize("case", list(_cases.keys())) +def test_building_footprints(case: ParameterSet | Sequence[object] | object): + # Read model in examples folder. + root = EXAMPLEDIR + if _cases[case]["new_root"].exists(): + shutil.rmtree(_cases[case]["new_root"]) + logger = setuplog("hydromt_fiat", log_level=10) + + fm = FiatModel(root=root, mode="r", logger=logger) + fm.read() + + fm.build(write=False, opt=_cases[case]["configuration"]) + fm.set_root(_cases[case]["new_root"]) + fm.write() \ No newline at end of file From ae862fbec69d487aaa0174290a9d9f7316593d22 Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Thu, 5 Oct 2023 14:36:54 +0200 Subject: [PATCH 04/13] update bf_test and function --- tests/test_building_footprints.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/tests/test_building_footprints.py b/tests/test_building_footprints.py index 2dcb4035..589168f7 100644 --- a/tests/test_building_footprints.py +++ b/tests/test_building_footprints.py @@ -12,6 +12,10 @@ from hydromt_fiat.workflows.vulnerability import Vulnerability import shutil +# set pyogrio as default engine +gpd.options.io_engine = "pyogrio" + +#Datasource: https://github.com/microsoft/USBuildingFootprints EXAMPLEDIR = Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data") #Create test @@ -19,9 +23,9 @@ "bf_test_1": { "new_root": Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output"), "configuration": { - "setup_building_footprints": { - "building_footprints_fn": Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg"), - "attribute_name": "B_footprint", + "setup_building_footprint": { + "building_footprint_fn": Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg"), + "attribute_names": "B_footprint", } }, } From 634ec84763520449a2935799a6725fd6a55b2349 Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Thu, 5 Oct 2023 15:29:34 +0200 Subject: [PATCH 05/13] added vector lazer overlap function --- hydromt_fiat/workflows/building_footprints.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/hydromt_fiat/workflows/building_footprints.py b/hydromt_fiat/workflows/building_footprints.py index 79bd3968..c6874d15 100644 --- a/hydromt_fiat/workflows/building_footprints.py +++ b/hydromt_fiat/workflows/building_footprints.py @@ -1,6 +1,7 @@ import geopandas as gpd from typing import List, Union from pathlib import Path +import math def process_value(value): if isinstance(value, list) and len(value) == 1: @@ -50,6 +51,22 @@ def join_exposure_building_footprint( op="intersects", how="left", ) + # aggregate the data if duplicates exist + for i in range(len(exposure_gdf["B_footprint"])): + if math.isnan(exposure_gdf["B_footprint"].iloc[i]): + continue + elif isinstance(exposure_gdf["B_footprint"].iloc[i], float): + # Convert to integer to remove decimal part + integer_value = int(exposure_gdf["B_footprint"].iloc[i]) + exposure_gdf["B_footprint"].iloc[i] = str(integer_value) + + + aggregated = ( + exposure_gdf.groupby("Object ID")[attribute_name].agg(list).reset_index() + ) + exposure_gdf.drop_duplicates(subset="Object ID", keep="first", inplace=True) + exposure_gdf.drop(columns=attribute_name, inplace=True) + exposure_gdf = exposure_gdf.merge(aggregated, on="Object ID") # Create a string from the list of values in the duplicated aggregation area # column From 9e19d7897d8ad478cdf64e1ebd67ea16e2b5c6bd Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Fri, 6 Oct 2023 11:51:49 +0200 Subject: [PATCH 06/13] update doc string. Add check to BF test for unique ID --- hydromt_fiat/fiat.py | 36 ++++- hydromt_fiat/workflows/building_footprints.py | 124 +++++++++--------- tests/test_building_footprints.py | 2 +- 3 files changed, 97 insertions(+), 65 deletions(-) diff --git a/hydromt_fiat/fiat.py b/hydromt_fiat/fiat.py index d7062c76..5c46322e 100644 --- a/hydromt_fiat/fiat.py +++ b/hydromt_fiat/fiat.py @@ -597,18 +597,48 @@ def setup_aggregation_areas( attribute_names: Union[List[str], str], label_names: Union[List[str], str], ): + """_summary_ + + Parameters + ---------- + exposure_gdf : gpd.GeoDataFrame + Exposure data to join the aggregation areas to as "Aggregation + Label: `label_names`". + aggregation_area_fn : Union[List[str], List[Path], str, Path] + Path(s) to the aggregation area(s). + attribute_names : Union[List[str], str] + Name of the attribute(s) to join. + label_names : Union[List[str], str] + Name of the label(s) to join. + + """ + exposure_gdf = self.exposure.get_full_gdf(self.exposure.exposure_db) self.exposure.exposure_db = join_exposure_aggregation_areas( exposure_gdf, aggregation_area_fn, attribute_names, label_names ) def setup_building_footprint( self, - building_footprint_fn: Union[List[str], List[Path], str, Path], - attribute_names: Union[List[str], str], + building_footprint_fn: Union[str, Path], + attribute_name: str, ): + """_summary_ + + Parameters + ---------- + exposure_gdf : gpd.GeoDataFrame + Exposure data to join the building footprints to as "BF_FID". + building_footprint_fn : Union[List[str], List[Path], str, Path] + Path(s) to the building footprint. + attribute_names : Union[List[str], str] + Name of the building footprint ID to join. + column_name: str = "BF_FID" + Name of building footprint in new exposure output + """ + exposure_gdf = self.exposure.get_full_gdf(self.exposure.exposure_db) self.exposure.exposure_db = join_exposure_bf( - exposure_gdf, building_footprint_fn, attribute_names, + exposure_gdf, building_footprint_fn, attribute_name, ) # Update functions diff --git a/hydromt_fiat/workflows/building_footprints.py b/hydromt_fiat/workflows/building_footprints.py index c6874d15..12aa3a8c 100644 --- a/hydromt_fiat/workflows/building_footprints.py +++ b/hydromt_fiat/workflows/building_footprints.py @@ -13,99 +13,101 @@ def process_value(value): def join_exposure_building_footprint( exposure_gdf: gpd.GeoDataFrame, - building_footprint_fn: Union[List[str], List[Path]], - attribute_names: List[str], + building_footprint_fn: Union[str, Path], + attribute_name: str, + column_name: str = "BF_FID", ) -> gpd.GeoDataFrame: """_summary_ Parameters ---------- exposure_gdf : gpd.GeoDataFrame - _description_ - building_footprint_fn : Union[List[str], List[Path]] - _description_ - attribute_names : List[str] - _description_ + Exposure data to join the building footprints to as "BF_FID". + building_footprint_fn : Union[str, Path] + Path(s) to the building footprint. + attribute_name : str + Name of the building footprint ID to join. + column_name : str = "BF_FID" + Name of building footprint in new exposure output Returns ------- gpd.GeoDataFrame - _description_ + _An update exposure GeoDataFrame including the building footprints_ """ - for file_path, attribute_name in zip(building_footprint_fn, attribute_names): - bf_gdf = gpd.read_file(file_path) + + bf_gdf = gpd.read_file(building_footprint_fn) + + ## check the projection of both gdf and if not match, reproject + if exposure_gdf.crs != bf_gdf.crs: + bf_gdf = bf_gdf.to_crs(exposure_gdf.crs) - ## check the projection of both gdf and if not match, reproject - if exposure_gdf.crs != bf_gdf.crs: - bf_gdf = bf_gdf.to_crs(exposure_gdf.crs) + + assert attribute_name in bf_gdf.columns, f"Attribute {attribute_name} not found in {building_footprint_fn}" + + #Check for unique BF-FID + assert bf_gdf[attribute_name].is_unique, f"Building footprint ID returns duplicates. Building footprint ID should be unique." + # If you overwrite the exposure_gdf with the joined data, you can append all + # aggregation areas to the same exposure_gdf + exposure_gdf = gpd.sjoin( + exposure_gdf, + bf_gdf[["geometry", attribute_name]], + op="intersects", + how="left", + ) + # aggregate the data if duplicates exist + for i in range(len(exposure_gdf["B_footprint"])): + if math.isnan(exposure_gdf["B_footprint"].iloc[i]): + continue + elif isinstance(exposure_gdf["B_footprint"].iloc[i], float): + # Convert to integer to remove decimal part + integer_value = int(exposure_gdf["B_footprint"].iloc[i]) + exposure_gdf["B_footprint"].iloc[i] = str(integer_value) - assert attribute_name in bf_gdf.columns, f"Attribute {attribute_name} not found in {file_path}" - # If you overwrite the exposure_gdf with the joined data, you can append all - # aggregation areas to the same exposure_gdf - exposure_gdf = gpd.sjoin( - exposure_gdf, - bf_gdf[["geometry", attribute_name]], - op="intersects", - how="left", - ) - # aggregate the data if duplicates exist - for i in range(len(exposure_gdf["B_footprint"])): - if math.isnan(exposure_gdf["B_footprint"].iloc[i]): - continue - elif isinstance(exposure_gdf["B_footprint"].iloc[i], float): - # Convert to integer to remove decimal part - integer_value = int(exposure_gdf["B_footprint"].iloc[i]) - exposure_gdf["B_footprint"].iloc[i] = str(integer_value) - + aggregated = ( + exposure_gdf.groupby("Object ID")[attribute_name].agg(list).reset_index() + ) + exposure_gdf.drop_duplicates(subset="Object ID", keep="first", inplace=True) + exposure_gdf.drop(columns=attribute_name, inplace=True) + exposure_gdf = exposure_gdf.merge(aggregated, on="Object ID") - aggregated = ( - exposure_gdf.groupby("Object ID")[attribute_name].agg(list).reset_index() - ) - exposure_gdf.drop_duplicates(subset="Object ID", keep="first", inplace=True) - exposure_gdf.drop(columns=attribute_name, inplace=True) - exposure_gdf = exposure_gdf.merge(aggregated, on="Object ID") + # Create a string from the list of values in the duplicated aggregation area + # column + exposure_gdf[attribute_name] = exposure_gdf[attribute_name].apply(process_value) + + # Rename the 'aggregation_attribute' column to 'new_column_name'. Put in + # Documentation that the order the user put the label name must be the order of the gdf + exposure_gdf.rename(columns={attribute_name: "BF_FID"}, inplace=True) - # Create a string from the list of values in the duplicated aggregation area - # column - exposure_gdf[attribute_name] = exposure_gdf[attribute_name].apply(process_value) - - # Rename the 'aggregation_attribute' column to 'new_column_name'. Put in - # Documentation that the order the user put the label name must be the order of the gdf - exposure_gdf.rename(columns={attribute_name: "BF_FID"}, inplace=True) - - ##remove the index_right column - if "index_right" in exposure_gdf.columns: - del exposure_gdf["index_right"] + ##remove the index_right column + if "index_right" in exposure_gdf.columns: + del exposure_gdf["index_right"] return exposure_gdf def join_exposure_bf( exposure_gdf: gpd.GeoDataFrame, - building_footprint_fn: Union[List[str], List[Path], str, Path], - attribute_names: Union[List[str], str], + building_footprint_fn: Union[str, Path], + attribute_names: str, + column_name: str = "BF_FID", ) -> gpd.GeoDataFrame: - """Join aggregation area labels to the exposure data. + """Join building footprints to the exposure data. Parameters ---------- exposure_gdf : gpd.GeoDataFrame - Exposure data to join the aggregation areas to as "Aggregation - Label: `label_names`". + Exposure data to join the building footprints to as "BF_FID". building_footprint_fn : Union[List[str], List[Path], str, Path] - Path(s) to the aggregation area(s). + Path(s) to the building footprint. attribute_names : Union[List[str], str] - Name of the attribute(s) to join. - + Name of the building footprint ID to join. + column_name: str = "BF_FID" + Name of building footprint in new exposure output """ - if isinstance(building_footprint_fn, str) or isinstance(building_footprint_fn, Path): - building_footprint_fn = [building_footprint_fn] - if isinstance(attribute_names, str): - attribute_names = [attribute_names] - exposure_gdf = join_exposure_building_footprint(exposure_gdf, building_footprint_fn, attribute_names) # Remove the geometry column from the exposure_gdf to return a dataframe diff --git a/tests/test_building_footprints.py b/tests/test_building_footprints.py index 589168f7..d47c0f30 100644 --- a/tests/test_building_footprints.py +++ b/tests/test_building_footprints.py @@ -25,7 +25,7 @@ "configuration": { "setup_building_footprint": { "building_footprint_fn": Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg"), - "attribute_names": "B_footprint", + "attribute_name": "B_footprint", } }, } From 6f99c73081b84813b82f308335cbd19c5fd1cade Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Fri, 6 Oct 2023 14:50:24 +0200 Subject: [PATCH 07/13] add nearest neighbor in bf_exposure_join, function must be improved --- hydromt_fiat/fiat.py | 6 +- hydromt_fiat/workflows/building_footprints.py | 55 +++++++++++++++++++ 2 files changed, 58 insertions(+), 3 deletions(-) diff --git a/hydromt_fiat/fiat.py b/hydromt_fiat/fiat.py index 5c46322e..15cb6383 100644 --- a/hydromt_fiat/fiat.py +++ b/hydromt_fiat/fiat.py @@ -22,7 +22,7 @@ from .workflows.social_vulnerability_index import SocialVulnerabilityIndex from .workflows.vulnerability import Vulnerability from .workflows.aggregation_areas import join_exposure_aggregation_areas -from .workflows.building_footprints import join_exposure_bf +from .workflows.building_footprints import nearest_neighbor_bf __all__ = ["FiatModel"] @@ -610,7 +610,7 @@ def setup_aggregation_areas( Name of the attribute(s) to join. label_names : Union[List[str], str] Name of the label(s) to join. - + """ exposure_gdf = self.exposure.get_full_gdf(self.exposure.exposure_db) @@ -637,7 +637,7 @@ def setup_building_footprint( """ exposure_gdf = self.exposure.get_full_gdf(self.exposure.exposure_db) - self.exposure.exposure_db = join_exposure_bf( + self.exposure.exposure_db = nearest_neighbor_bf( exposure_gdf, building_footprint_fn, attribute_name, ) diff --git a/hydromt_fiat/workflows/building_footprints.py b/hydromt_fiat/workflows/building_footprints.py index 12aa3a8c..db5fa4b0 100644 --- a/hydromt_fiat/workflows/building_footprints.py +++ b/hydromt_fiat/workflows/building_footprints.py @@ -2,6 +2,10 @@ from typing import List, Union from pathlib import Path import math +import hydromt +from hydromt import gis_utils +import pandas as pd + def process_value(value): if isinstance(value, list) and len(value) == 1: @@ -49,6 +53,9 @@ def join_exposure_building_footprint( #Check for unique BF-FID assert bf_gdf[attribute_name].is_unique, f"Building footprint ID returns duplicates. Building footprint ID should be unique." + #Create fully merged gdf + #merged_gdf = gis_utils.nearest_merge(bf_gdf,exposure_gdf) + # If you overwrite the exposure_gdf with the joined data, you can append all # aggregation areas to the same exposure_gdf exposure_gdf = gpd.sjoin( @@ -74,6 +81,7 @@ def join_exposure_building_footprint( exposure_gdf.drop(columns=attribute_name, inplace=True) exposure_gdf = exposure_gdf.merge(aggregated, on="Object ID") + # Create a string from the list of values in the duplicated aggregation area # column exposure_gdf[attribute_name] = exposure_gdf[attribute_name].apply(process_value) @@ -112,4 +120,51 @@ def join_exposure_bf( # Remove the geometry column from the exposure_gdf to return a dataframe del exposure_gdf["geometry"] + return exposure_gdf + + +def nearest_neighbor_bf( + exposure_gdf: gpd.GeoDataFrame, + building_footprint_fn: Union[str, Path], + attribute_names: str, + column_name: str = "BF_FID", +) -> gpd.GeoDataFrame: + + #this should be a dataframe + exposure_df = join_exposure_bf(exposure_gdf, building_footprint_fn, attribute_names) + + #Load buildings.gpkg + exposure_gdf= gpd.read_file(Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\exposure\buildings.gpkg")) + + + #Mhere all good + #exposure_df= pd.read_csv(Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output\exposure\exposure.csv")) + #exposure_gdf= gpd.read_file(Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output\exposure\buildings.gpkg")) + + + merged_gdf_multiple = exposure_gdf.merge(exposure_df, left_on='Object ID', right_on='Object ID', how='inner') + bf_gdf = gpd.read_file(building_footprint_fn) + #same as above only absolute path : bf_gdf = gpd.read_file(Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg")) + + merged_gdf = gis_utils.nearest_merge(merged_gdf_multiple, bf_gdf, "BF_FID") + merged_gdf.to_file(Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\test.gpkg")) + value =1 + + merged_gdf["index_right"] += value + + # Specify the columns with NaN values and the column to use for replacement + column_with_nan = "BF_FID" # Replace with the name of the column containing NaN values + replacement_column = "index_right" # Replace with the name of the column to use for replacement + + # Use the fillna method to replace NaN values in column1 with values from column2 + merged_gdf[column_with_nan].fillna(merged_gdf[replacement_column], inplace=True) + + ##remove the index_right column + if "index_right" in merged_gdf.columns: + del merged_gdf["index_right"] + + del merged_gdf["geometry"] + + return merged_gdf + From c6b50269c1ce982e6836fd31807196801b48c73e Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Mon, 9 Oct 2023 15:19:02 +0200 Subject: [PATCH 08/13] cleaning building footprint code --- hydromt_fiat/workflows/building_footprints.py | 62 +++++++------------ 1 file changed, 23 insertions(+), 39 deletions(-) diff --git a/hydromt_fiat/workflows/building_footprints.py b/hydromt_fiat/workflows/building_footprints.py index db5fa4b0..90b2e219 100644 --- a/hydromt_fiat/workflows/building_footprints.py +++ b/hydromt_fiat/workflows/building_footprints.py @@ -43,7 +43,10 @@ def join_exposure_building_footprint( bf_gdf = gpd.read_file(building_footprint_fn) - ## check the projection of both gdf and if not match, reproject + #Add index column with default name + bf_gdf['B_footprint'] = range(1,len(bf_gdf)+1,1) + + # check the projection of both gdf and if not match, reproject if exposure_gdf.crs != bf_gdf.crs: bf_gdf = bf_gdf.to_crs(exposure_gdf.crs) @@ -53,9 +56,6 @@ def join_exposure_building_footprint( #Check for unique BF-FID assert bf_gdf[attribute_name].is_unique, f"Building footprint ID returns duplicates. Building footprint ID should be unique." - #Create fully merged gdf - #merged_gdf = gis_utils.nearest_merge(bf_gdf,exposure_gdf) - # If you overwrite the exposure_gdf with the joined data, you can append all # aggregation areas to the same exposure_gdf exposure_gdf = gpd.sjoin( @@ -86,21 +86,15 @@ def join_exposure_building_footprint( # column exposure_gdf[attribute_name] = exposure_gdf[attribute_name].apply(process_value) - # Rename the 'aggregation_attribute' column to 'new_column_name'. Put in - # Documentation that the order the user put the label name must be the order of the gdf + # Rename the 'aggregation_attribute' column to 'new_column_name' exposure_gdf.rename(columns={attribute_name: "BF_FID"}, inplace=True) - ##remove the index_right column - if "index_right" in exposure_gdf.columns: - del exposure_gdf["index_right"] - return exposure_gdf - def join_exposure_bf( exposure_gdf: gpd.GeoDataFrame, building_footprint_fn: Union[str, Path], - attribute_names: str, + attribute_name: str, column_name: str = "BF_FID", ) -> gpd.GeoDataFrame: """Join building footprints to the exposure data. @@ -111,15 +105,12 @@ def join_exposure_bf( Exposure data to join the building footprints to as "BF_FID". building_footprint_fn : Union[List[str], List[Path], str, Path] Path(s) to the building footprint. - attribute_names : Union[List[str], str] + attribute_name : Union[List[str], str] Name of the building footprint ID to join. column_name: str = "BF_FID" Name of building footprint in new exposure output """ - exposure_gdf = join_exposure_building_footprint(exposure_gdf, building_footprint_fn, attribute_names) - - # Remove the geometry column from the exposure_gdf to return a dataframe - del exposure_gdf["geometry"] + exposure_gdf = join_exposure_building_footprint(exposure_gdf, building_footprint_fn, attribute_name) return exposure_gdf @@ -127,44 +118,37 @@ def join_exposure_bf( def nearest_neighbor_bf( exposure_gdf: gpd.GeoDataFrame, building_footprint_fn: Union[str, Path], - attribute_names: str, + attribute_name: str, column_name: str = "BF_FID", ) -> gpd.GeoDataFrame: - #this should be a dataframe - exposure_df = join_exposure_bf(exposure_gdf, building_footprint_fn, attribute_names) + #Load new exposure dataframe + exposure_gdf = join_exposure_bf(exposure_gdf, building_footprint_fn, attribute_name) - #Load buildings.gpkg - exposure_gdf= gpd.read_file(Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\exposure\buildings.gpkg")) - - - #Mhere all good - #exposure_df= pd.read_csv(Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output\exposure\exposure.csv")) - #exposure_gdf= gpd.read_file(Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output\exposure\buildings.gpkg")) - - - merged_gdf_multiple = exposure_gdf.merge(exposure_df, left_on='Object ID', right_on='Object ID', how='inner') + #Load building footprint bf_gdf = gpd.read_file(building_footprint_fn) - #same as above only absolute path : bf_gdf = gpd.read_file(Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg")) - - merged_gdf = gis_utils.nearest_merge(merged_gdf_multiple, bf_gdf, "BF_FID") - merged_gdf.to_file(Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\test.gpkg")) - value =1 + + #merge gdf and df > is this neccessary + merged_gdf = gis_utils.nearest_merge(exposure_gdf, bf_gdf, column_name) - merged_gdf["index_right"] += value + #Correct index + merged_gdf["index_right"] += 1 # Specify the columns with NaN values and the column to use for replacement - column_with_nan = "BF_FID" # Replace with the name of the column containing NaN values + column_with_nan = column_name # Replace with the name of the column containing NaN values replacement_column = "index_right" # Replace with the name of the column to use for replacement - # Use the fillna method to replace NaN values in column1 with values from column2 + # Replace NaN values in BF_FID with values from nearest neighbour merged_gdf[column_with_nan].fillna(merged_gdf[replacement_column], inplace=True) - ##remove the index_right column + #remove the index_right and distance_right column if "index_right" in merged_gdf.columns: del merged_gdf["index_right"] + del merged_gdf["distance_right"] + #remove geoms column to return to datafrane del merged_gdf["geometry"] + return merged_gdf From 2e75ca4c2370ff21ec0ab08c94cd5409012da1f7 Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Mon, 9 Oct 2023 15:26:12 +0200 Subject: [PATCH 09/13] add relative path to bf_test --- tests/test_building_footprints.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/tests/test_building_footprints.py b/tests/test_building_footprints.py index d47c0f30..de7b9013 100644 --- a/tests/test_building_footprints.py +++ b/tests/test_building_footprints.py @@ -16,15 +16,18 @@ gpd.options.io_engine = "pyogrio" #Datasource: https://github.com/microsoft/USBuildingFootprints -EXAMPLEDIR = Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data") + +EXAMPLEDIR = Path().resolve() / "examples" / "data" / "building_footprints" + +#Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data") #Create test _cases = { "bf_test_1": { - "new_root": Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output"), + "new_root": EXAMPLEDIR / "bf_test_1_output", #Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output"), "configuration": { "setup_building_footprint": { - "building_footprint_fn": Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg"), + "building_footprint_fn": EXAMPLEDIR / "building_footprints" / "building_footprints.gpkg", #Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg"), "attribute_name": "B_footprint", } }, From da08b5a4d6830bfd70352d8f16ebf8efa943955d Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Mon, 16 Oct 2023 09:37:13 +0200 Subject: [PATCH 10/13] update directory path --- tests/test_building_footprints.py | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/tests/test_building_footprints.py b/tests/test_building_footprints.py index de7b9013..d47c0f30 100644 --- a/tests/test_building_footprints.py +++ b/tests/test_building_footprints.py @@ -16,18 +16,15 @@ gpd.options.io_engine = "pyogrio" #Datasource: https://github.com/microsoft/USBuildingFootprints - -EXAMPLEDIR = Path().resolve() / "examples" / "data" / "building_footprints" - -#Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data") +EXAMPLEDIR = Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data") #Create test _cases = { "bf_test_1": { - "new_root": EXAMPLEDIR / "bf_test_1_output", #Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output"), + "new_root": Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output"), "configuration": { "setup_building_footprint": { - "building_footprint_fn": EXAMPLEDIR / "building_footprints" / "building_footprints.gpkg", #Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg"), + "building_footprint_fn": Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg"), "attribute_name": "B_footprint", } }, From 08700e5a76d01b761917e50a3ce7a0d0656c1177 Mon Sep 17 00:00:00 2001 From: Frederique Date: Mon, 16 Oct 2023 11:02:47 +0200 Subject: [PATCH 11/13] Updated building footprints code and test, added assert statements --- .gitignore | 1 + .../building_footprints.gpkg | Bin 0 -> 684032 bytes .../fiat_model/exposure/buildings.gpkg | Bin 0 -> 385024 bytes .../fiat_model/exposure/exposure.csv | 3082 +++++++++++++++++ .../fiat_model/settings.toml | 20 + .../vulnerability/vulnerability_curves.csv | 37 + hydromt_fiat/fiat.py | 4 +- hydromt_fiat/workflows/building_footprints.py | 116 +- tests/test_aggregation_areas.py | 7 - tests/test_building_footprints.py | 31 +- 10 files changed, 3175 insertions(+), 123 deletions(-) create mode 100644 examples/data/building_footprints/building_footprints/building_footprints.gpkg create mode 100644 examples/data/building_footprints/fiat_model/exposure/buildings.gpkg create mode 100644 examples/data/building_footprints/fiat_model/exposure/exposure.csv create mode 100644 examples/data/building_footprints/fiat_model/settings.toml create mode 100644 examples/data/building_footprints/fiat_model/vulnerability/vulnerability_curves.csv diff --git a/.gitignore 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z&Qy(SyYkEN*iF3*6Aho@yPZ-v7O#j}@O14y+-;XzJ-r?>ypd?F+^;*F)rQP|dVWtm zr=v4+-~U7&;%wc>jI6Of_iK;F<1p*Fhq7E-H$3FZe}KpRi=M0TjzCA|e$a<^1^Ox8 z2k1jr51+T^C+HID{xbTCtA~3UJq&j}?UX$T9qfFr*?TyQ_0uH{%nlpe>@cXsW9Fit zI%(Vw?eDg`7T&=~bqwksA8dLKLI>avs^4zF`#Sn6K0{-JJ4F~6^n5M%2j5RgCgBbA z8#9ZBO1|BMQ%&z!v>x86=rrdq#+!p?;q{_E=W`0`Jr|ur+nF&nx>;9pHuWEg4yP gpd.GeoDataFrame: - """_summary_ + """Join building footprints to the exposure data. Parameters ---------- @@ -38,117 +36,43 @@ def join_exposure_building_footprint( Returns ------- gpd.GeoDataFrame - _An update exposure GeoDataFrame including the building footprints_ + An updated exposure GeoDataFrame including the building footprints. """ - + # Read the building footprints file bf_gdf = gpd.read_file(building_footprint_fn) - #Add index column with default name - bf_gdf['B_footprint'] = range(1,len(bf_gdf)+1,1) + # Check if the attribute is in the building footprint file + assert attribute_name in bf_gdf.columns, f"Attribute {attribute_name} not found in {building_footprint_fn}" + + # Check for unique identifier attribute + assert bf_gdf[attribute_name].is_unique, "Building footprint ID returns duplicates. Building footprint ID (attribute_name) should be unique." + + # Change the column type to be an integer + bf_gdf[attribute_name] = bf_gdf[attribute_name].astype("int") # check the projection of both gdf and if not match, reproject if exposure_gdf.crs != bf_gdf.crs: bf_gdf = bf_gdf.to_crs(exposure_gdf.crs) - - assert attribute_name in bf_gdf.columns, f"Attribute {attribute_name} not found in {building_footprint_fn}" - - #Check for unique BF-FID - assert bf_gdf[attribute_name].is_unique, f"Building footprint ID returns duplicates. Building footprint ID should be unique." - - # If you overwrite the exposure_gdf with the joined data, you can append all - # aggregation areas to the same exposure_gdf - exposure_gdf = gpd.sjoin( + # Spatially join the exposure and building footprint data + joined_gdf = gpd.sjoin( exposure_gdf, bf_gdf[["geometry", attribute_name]], - op="intersects", - how="left", + predicate="intersects", + how="right", ) - # aggregate the data if duplicates exist - for i in range(len(exposure_gdf["B_footprint"])): - if math.isnan(exposure_gdf["B_footprint"].iloc[i]): - continue - elif isinstance(exposure_gdf["B_footprint"].iloc[i], float): - # Convert to integer to remove decimal part - integer_value = int(exposure_gdf["B_footprint"].iloc[i]) - exposure_gdf["B_footprint"].iloc[i] = str(integer_value) - + # Aggregate the data if duplicates exist aggregated = ( - exposure_gdf.groupby("Object ID")[attribute_name].agg(list).reset_index() + joined_gdf.groupby("Object ID")[attribute_name].agg(list).reset_index() ) - exposure_gdf.drop_duplicates(subset="Object ID", keep="first", inplace=True) - exposure_gdf.drop(columns=attribute_name, inplace=True) exposure_gdf = exposure_gdf.merge(aggregated, on="Object ID") - # Create a string from the list of values in the duplicated aggregation area # column exposure_gdf[attribute_name] = exposure_gdf[attribute_name].apply(process_value) # Rename the 'aggregation_attribute' column to 'new_column_name' - exposure_gdf.rename(columns={attribute_name: "BF_FID"}, inplace=True) + exposure_gdf.rename(columns={attribute_name: column_name}, inplace=True) return exposure_gdf - -def join_exposure_bf( - exposure_gdf: gpd.GeoDataFrame, - building_footprint_fn: Union[str, Path], - attribute_name: str, - column_name: str = "BF_FID", -) -> gpd.GeoDataFrame: - """Join building footprints to the exposure data. - - Parameters - ---------- - exposure_gdf : gpd.GeoDataFrame - Exposure data to join the building footprints to as "BF_FID". - building_footprint_fn : Union[List[str], List[Path], str, Path] - Path(s) to the building footprint. - attribute_name : Union[List[str], str] - Name of the building footprint ID to join. - column_name: str = "BF_FID" - Name of building footprint in new exposure output - """ - exposure_gdf = join_exposure_building_footprint(exposure_gdf, building_footprint_fn, attribute_name) - - return exposure_gdf - - -def nearest_neighbor_bf( - exposure_gdf: gpd.GeoDataFrame, - building_footprint_fn: Union[str, Path], - attribute_name: str, - column_name: str = "BF_FID", -) -> gpd.GeoDataFrame: - - #Load new exposure dataframe - exposure_gdf = join_exposure_bf(exposure_gdf, building_footprint_fn, attribute_name) - - #Load building footprint - bf_gdf = gpd.read_file(building_footprint_fn) - - #merge gdf and df > is this neccessary - merged_gdf = gis_utils.nearest_merge(exposure_gdf, bf_gdf, column_name) - - #Correct index - merged_gdf["index_right"] += 1 - - # Specify the columns with NaN values and the column to use for replacement - column_with_nan = column_name # Replace with the name of the column containing NaN values - replacement_column = "index_right" # Replace with the name of the column to use for replacement - - # Replace NaN values in BF_FID with values from nearest neighbour - merged_gdf[column_with_nan].fillna(merged_gdf[replacement_column], inplace=True) - - #remove the index_right and distance_right column - if "index_right" in merged_gdf.columns: - del merged_gdf["index_right"] - del merged_gdf["distance_right"] - - #remove geoms column to return to datafrane - del merged_gdf["geometry"] - - - return merged_gdf - diff --git a/tests/test_aggregation_areas.py b/tests/test_aggregation_areas.py index 0dd9e347..f211cede 100644 --- a/tests/test_aggregation_areas.py +++ b/tests/test_aggregation_areas.py @@ -4,19 +4,12 @@ from hydromt.log import setuplog from pathlib import Path import pytest -import geopandas as gpd -import pandas as pd -from hydromt_fiat.workflows.aggregation_areas import join_exposure_aggregation_areas -from hydromt_fiat.workflows.aggregation_areas import join_exposure_aggregation_multiple_areas from hydromt_fiat.workflows.exposure_vector import ExposureVector from hydromt_fiat.workflows.vulnerability import Vulnerability import shutil -# set pyogrio as default engine -gpd.options.io_engine = "pyogrio" - # Load Data EXAMPLEDIR = Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\FIAT\20230927_Hydromt_Fiat_Sprint\FIAT_model") diff --git a/tests/test_building_footprints.py b/tests/test_building_footprints.py index de7b9013..dddeb890 100644 --- a/tests/test_building_footprints.py +++ b/tests/test_building_footprints.py @@ -4,31 +4,21 @@ from hydromt.log import setuplog from pathlib import Path import pytest -import geopandas as gpd -import pandas as pd -from hydromt_fiat.workflows.building_footprints import join_exposure_building_footprint -from hydromt_fiat.workflows.building_footprints import join_exposure_bf -from hydromt_fiat.workflows.exposure_vector import ExposureVector -from hydromt_fiat.workflows.vulnerability import Vulnerability import shutil -# set pyogrio as default engine -gpd.options.io_engine = "pyogrio" - #Datasource: https://github.com/microsoft/USBuildingFootprints EXAMPLEDIR = Path().resolve() / "examples" / "data" / "building_footprints" -#Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data") - #Create test _cases = { - "bf_test_1": { - "new_root": EXAMPLEDIR / "bf_test_1_output", #Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\output"), + "join_building_footprints_to_exposure": { + "root": EXAMPLEDIR / "fiat_model", + "new_root": EXAMPLEDIR / "fiat_model_bfs", "configuration": { "setup_building_footprint": { - "building_footprint_fn": EXAMPLEDIR / "building_footprints" / "building_footprints.gpkg", #Path(r"C:\Users\rautenba\OneDrive - Stichting Deltares\Documents\Projects\HydroMT\Issue_Solving\#133\testcase_data\building_footprints\building_footprint.gpkg"), - "attribute_name": "B_footprint", + "building_footprint_fn": EXAMPLEDIR / "building_footprints" / "building_footprints.gpkg", + "attribute_name": "BF_FID", } }, } @@ -38,14 +28,19 @@ @pytest.mark.parametrize("case", list(_cases.keys())) def test_building_footprints(case: ParameterSet | Sequence[object] | object): # Read model in examples folder. - root = EXAMPLEDIR if _cases[case]["new_root"].exists(): shutil.rmtree(_cases[case]["new_root"]) logger = setuplog("hydromt_fiat", log_level=10) - fm = FiatModel(root=root, mode="r", logger=logger) + fm = FiatModel(root=_cases[case]["root"], mode="r", logger=logger) fm.read() fm.build(write=False, opt=_cases[case]["configuration"]) fm.set_root(_cases[case]["new_root"]) - fm.write() \ No newline at end of file + fm.write() + + # Check if the BF_FID column is added + assert "BF_FID" in fm.exposure.exposure_db.columns + + # Check for Object ID duplicates + assert fm.exposure.exposure_db["Object ID"].duplicated().sum() == 0 From c189218d218fd7fa928b9a68e1a313a3227434f4 Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Mon, 16 Oct 2023 11:50:34 +0200 Subject: [PATCH 12/13] inner merge to not discard values --- hydromt_fiat/workflows/building_footprints.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hydromt_fiat/workflows/building_footprints.py b/hydromt_fiat/workflows/building_footprints.py index d275f723..a83d5a19 100644 --- a/hydromt_fiat/workflows/building_footprints.py +++ b/hydromt_fiat/workflows/building_footprints.py @@ -66,7 +66,7 @@ def join_exposure_building_footprints( aggregated = ( joined_gdf.groupby("Object ID")[attribute_name].agg(list).reset_index() ) - exposure_gdf = exposure_gdf.merge(aggregated, on="Object ID") + exposure_gdf = exposure_gdf.merge(aggregated, on="Object ID", how = 'left') # Create a string from the list of values in the duplicated aggregation area # column From 210696e8400207a85219d53ccac4434d29d661fe Mon Sep 17 00:00:00 2001 From: "sarah.rautenbach" Date: Mon, 16 Oct 2023 12:01:23 +0200 Subject: [PATCH 13/13] add check that original and new exposure have same length --- tests/test_building_footprints.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/tests/test_building_footprints.py b/tests/test_building_footprints.py index 979c9196..42e78c77 100644 --- a/tests/test_building_footprints.py +++ b/tests/test_building_footprints.py @@ -32,7 +32,8 @@ def test_building_footprints(case: ParameterSet | Sequence[object] | object): fm = FiatModel(root=_cases[case]["root"], mode="r", logger=logger) fm.read() - + exposure_orig = fm.exposure.exposure_db.copy() + fm.build(write=False, opt=_cases[case]["configuration"]) fm.set_root(_cases[case]["new_root"]) fm.write() @@ -42,3 +43,6 @@ def test_building_footprints(case: ParameterSet | Sequence[object] | object): # Check for Object ID duplicates assert fm.exposure.exposure_db["Object ID"].duplicated().sum() == 0 + + # Check original exposure is same length new exposure + assert len(fm.exposure.exposure_db["Object ID"]) == len(exposure_orig["Object ID"]) \ No newline at end of file