diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 078e8cbd..ec709c1a 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,6 +1,6 @@ # See https://pre-commit.com for more information # See https://pre-commit.com/hooks.html for more hooks -default_stages: [commit] +default_stages: [pre-commit] repos: - repo: https://github.com/compilerla/conventional-pre-commit rev: v3.4.0 diff --git a/CHANGELOG.md b/CHANGELOG.md index 8f2f446f..bd417d10 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -10,6 +10,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Fixed - Made code compliant with `osmnx`'s new `2.0.0` release [#473](https://github.com/kraina-ai/srai/issues/473) +- Made code compliant with `h3ronpy`'s new `0.22.0` release [#471](https://github.com/kraina-ai/srai/issues/471) ## [0.7.8] - 2024-12-28 diff --git a/pdm.lock b/pdm.lock index 7acfd502..4ad0580d 100644 --- a/pdm.lock +++ b/pdm.lock @@ -5,101 +5,129 @@ 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"pillow>=8.0.0", - "beautifulsoup4", - "quackosm>=0.11.0", -] +osm = ["overpass>=0.7", "pillow>=8.0.0", "beautifulsoup4", "quackosm>=0.11.0"] # pdm add -G voronoi -voronoi = ["pymap3d>=3.0.0", "haversine>=2.0.0", "scipy>=1.10.0", "spherical-geometry>=1.3.2"] +voronoi = [ + "pymap3d>=3.0.0", + "haversine>=2.0.0", + "scipy>=1.10.0", + "spherical-geometry>=1.3.2", +] # pdm add -G gtfs gtfs = ["gtfs-kit"] # pdm add -G plotting @@ -77,7 +77,12 @@ plotting = [ "kaleido<=0.2.1,>=0.2.0", ] # kaleido<=0.2.1 because installation breaks on 0.2.1.post1 # pdm add -G torch -torch = ["pytorch-lightning>=2.0.0", "torch"] +torch = [ + "pytorch-lightning>=2.0.0", + # Torch 2.2.* is the last oficially supported torch version on macOS x86_64 + "torch<2.3; sys_platform == 'darwin' and platform_machine == 'x86_64'", + "torch", +] all = ["srai[osm,voronoi,gtfs,plotting,torch]"] @@ -121,10 +126,7 @@ docs = [ "umap-learn", ] # performance = ["scalene"] -license = [ - "licensecheck==2024.3", - "pipdeptree", -] +license = ["licensecheck==2024.3", "pipdeptree"] [tool.pdm.scripts] post_install = "pre-commit install" diff --git a/srai/h3.py b/srai/h3.py index 2b76efee..db670c64 100644 --- a/srai/h3.py +++ b/srai/h3.py @@ -7,13 +7,26 @@ import h3 import numpy as np import numpy.typing as npt -from h3ronpy.arrow import cells_to_string, grid_disk -from h3ronpy.arrow.vector import ContainmentMode, cells_to_wkb_polygons, wkb_to_cells +from h3ronpy import __version__ as h3ronpy_version +from packaging import version from shapely.geometry import Polygon from shapely.geometry.base import BaseGeometry from srai.constants import GEOMETRY_COLUMN, REGIONS_INDEX, WGS84_CRS +is_new_h3ronpy_api = version.parse(h3ronpy_version) >= version.parse("0.22.0") + +if is_new_h3ronpy_api: + from h3ronpy import ContainmentMode, cells_to_string, grid_disk + from h3ronpy.vector import cells_to_wkb_polygons, wkb_to_cells +else: + from h3ronpy.arrow import cells_to_string, grid_disk + from h3ronpy.arrow.vector import ( + ContainmentMode, + cells_to_wkb_polygons, + wkb_to_cells, + ) + __all__ = [ "shapely_geometry_to_h3", "h3_to_geoseries", @@ -65,7 +78,12 @@ def shapely_geometry_to_h3( containment_mode = ContainmentMode.Covers if buffer else ContainmentMode.ContainsCentroid h3_indexes = wkb_to_cells( wkb, resolution=h3_resolution, containment_mode=containment_mode, flatten=True - ).unique() + ) + + if is_new_h3ronpy_api: + h3_indexes = np.unique(h3_indexes.to_numpy()) + else: + h3_indexes = h3_indexes.unique() return [h3.int_to_str(h3_index) for h3_index in h3_indexes.tolist()] @@ -85,7 +103,7 @@ def h3_to_geoseries(h3_index: Union[int, str, Iterable[Union[int, str]]]) -> gpd if isinstance(h3_index, (str, int)): return h3_to_geoseries([h3_index]) else: - h3_int_indexes = ( + h3_int_indexes = list( h3_cell if isinstance(h3_cell, int) else h3.str_to_int(h3_cell) for h3_cell in h3_index ) return gpd.GeoSeries.from_wkb(cells_to_wkb_polygons(h3_int_indexes), crs=WGS84_CRS) @@ -192,10 +210,19 @@ def ring_buffer_h3_indexes(h3_indexes: Iterable[Union[int, str]], distance: int) h3.is_valid_cell(h3_cell) for h3_cell in h3_indexes ), "Not all values in h3_indexes are valid H3 cells." - h3_int_indexes = ( + h3_int_indexes = list( h3_cell if isinstance(h3_cell, int) else h3.str_to_int(h3_cell) for h3_cell in h3_indexes ) - buffered_h3s = set(cells_to_string(grid_disk(h3_int_indexes, distance, flatten=True)).tolist()) + + if is_new_h3ronpy_api: + buffered_h3s = np.unique( + cells_to_string(grid_disk(h3_int_indexes, distance, flatten=True)).to_numpy() + ) + else: + buffered_h3s = set( + cells_to_string(grid_disk(h3_int_indexes, distance, flatten=True)).tolist() + ) + return list(buffered_h3s) diff --git a/tests/h3/conftest.py b/tests/h3/conftest.py index 75d1e0e4..aef77002 100644 --- a/tests/h3/conftest.py +++ b/tests/h3/conftest.py @@ -3,8 +3,9 @@ import geopandas as gpd import pytest from shapely import geometry +from shapely.geometry.base import BaseGeometry -from srai.constants import WGS84_CRS +from srai.constants import GEOMETRY_COLUMN, WGS84_CRS @pytest.fixture # type: ignore @@ -106,3 +107,19 @@ def expected_unbuffered_h3_indexes() -> list[str]: return [ "83754efffffffff", ] + + +def _gdf_noop(gdf_fixture: gpd.GeoDataFrame) -> gpd.GeoDataFrame: + return gdf_fixture + + +def _gdf_to_geoseries(gdf_fixture: gpd.GeoDataFrame) -> gpd.GeoSeries: # noqa: FURB118 + return gdf_fixture[GEOMETRY_COLUMN] + + +def _gdf_to_geometry_list(gdf_fixture: gpd.GeoDataFrame) -> list[BaseGeometry]: + return list(gdf_fixture[GEOMETRY_COLUMN]) + + +def _gdf_to_single_geometry(gdf_fixture: gpd.GeoDataFrame) -> BaseGeometry: + return gdf_fixture[GEOMETRY_COLUMN][0] diff --git a/tests/h3/test_operations.py b/tests/h3/test_operations.py new file mode 100644 index 00000000..10558ee7 --- /dev/null +++ b/tests/h3/test_operations.py @@ -0,0 +1,51 @@ +"""Module for testing srai.h3 module functionality.""" + +from typing import Any, Callable + +import geopandas as gpd +import pytest + +from srai.h3 import ( + ring_buffer_geometry, + ring_buffer_h3_regions_gdf, +) +from srai.regionalizers.geocode import geocode_to_region_gdf +from srai.regionalizers.h3_regionalizer import H3Regionalizer +from tests.h3.conftest import _gdf_noop, _gdf_to_geometry_list, _gdf_to_geoseries +from tests.regionalizers.test_h3_regionalizer import H3_RESOLUTION + +# TODO: add expected values, now only checks if runs without errors + + +@pytest.mark.parametrize( + "geometry_fixture, resolution, distance", + [ + ("gdf_single_point", 10, 10), + ("gdf_multipolygon", H3_RESOLUTION, 2), + ("gdf_polygons", H3_RESOLUTION, 2), + ], +) # type: ignore +@pytest.mark.parametrize( + "geometry_parser_function", + [_gdf_noop, _gdf_to_geoseries, _gdf_to_geometry_list], +) # type: ignore +def test_ring_buffer_geometry( + geometry_fixture: str, + resolution: int, + distance: int, + geometry_parser_function: Callable[[gpd.GeoDataFrame], Any], + request: pytest.FixtureRequest, +) -> None: + """Test checks if ring_buffer_geometry function works.""" + geometry = request.getfixturevalue(geometry_fixture) + + parsed_geometry = geometry_parser_function(geometry) + ring_buffer_geometry(parsed_geometry, h3_resolution=resolution, distance=distance) + + +def test_ring_buffer_h3_regions_gdf() -> None: + """Test checks if ring_buffer_h3_regions_gdf function works.""" + gdf_wro = geocode_to_region_gdf("Wrocław, PL") + regions_gdf = H3Regionalizer(8).transform(gdf_wro) + + ring_buffer_h3_regions_gdf(regions_gdf, distance=10) diff --git a/tests/h3/test_shapely_conversion.py b/tests/h3/test_shapely_conversion.py index d02313f2..6bf60fc1 100644 --- a/tests/h3/test_shapely_conversion.py +++ b/tests/h3/test_shapely_conversion.py @@ -6,31 +6,14 @@ import geopandas as gpd import pytest -from shapely.geometry.base import BaseGeometry -from srai.constants import GEOMETRY_COLUMN from srai.h3 import shapely_geometry_to_h3 +from tests.h3.conftest import _gdf_noop, _gdf_to_geometry_list, _gdf_to_geoseries from tests.regionalizers.test_h3_regionalizer import H3_RESOLUTION ut = TestCase() -def _gdf_noop(gdf_fixture: gpd.GeoDataFrame) -> gpd.GeoDataFrame: - return gdf_fixture - - -def _gdf_to_geoseries(gdf_fixture: gpd.GeoDataFrame) -> gpd.GeoSeries: # noqa: FURB118 - return gdf_fixture[GEOMETRY_COLUMN] - - -def _gdf_to_geometry_list(gdf_fixture: gpd.GeoDataFrame) -> list[BaseGeometry]: - return list(gdf_fixture[GEOMETRY_COLUMN]) - - -def _gdf_to_single_geometry(gdf_fixture: gpd.GeoDataFrame) -> BaseGeometry: - return gdf_fixture[GEOMETRY_COLUMN][0] - - @pytest.mark.parametrize( "geometry_fixture, resolution, expected_h3_cells_fixture", [