from pyproj import Geod
from dggal import *
from vgrid.utils.constants import DGGAL_TYPES
from vgrid.utils.constants import (
    ISEA4T_RES_ACCURACY_DICT,
    ISEA3H_RES_ACCURACY_DICT,
    INITIAL_GEOHASHES,
)
from vgrid.generator.geohashgrid import expand_geohash_bbox
from vgrid.dggs import qtm
from vgrid.dggs.qtm import QTM_INITIAL_FACETS
from vgrid.conversion.dggscompact.a5compact import a5_compact
from vgrid.conversion.dggscompact.digipincompact import digipin_compact
from vgrid.conversion.dggscompact.quadkeycompact import quadkey_compact
from vgrid.conversion.dggscompact.tilecodecompact import tilecode_compact
from vgrid.conversion.dggscompact.geohashcompact import geohash_compact
from vgrid.conversion.dggscompact.olccompact import olc_compact
from vgrid.conversion.dggscompact.qtmcompact import qtm_compact
from vgrid.conversion.dggscompact.dggalcompact import dggal_compact
from vgrid.conversion.dggscompact.rhealpixcompact import rhealpix_compact
from vgrid.utils.geometry import (
    graticule_dggs_metrics,
    graticule_dggs_to_feature,
    geodesic_dggs_metrics,
    check_predicate,
)
from vgrid.conversion.dggs2geo.dggal2geo import dggal2geo
from vgrid.dggs.digipin import BOUNDS
from vgrid.conversion.dggs2geo.digipin2geo import digipin2geo
from vgrid.conversion.dggs2geo.quadkey2geo import quadkey2geo
from vgrid.conversion.dggs2geo.tilecode2geo import tilecode2geo
from vgrid.conversion.dggs2geo.geohash2geo import geohash2geo
from vgrid.generator.olcgrid import olc_refine_cell
from vgrid.conversion.dggs2geo.olc2geo import olc2geo
from vgrid.conversion.dggs2geo.qtm2geo import qtm2geo
from vgrid.conversion.dggs2geo.isea3h2geo import isea3h2geo
from vgrid.conversion.dggs2geo.isea4t2geo import isea4t2geo
from vgrid.conversion.dggs2geo.a52geo import a52geo
from vgrid.conversion.dggs2geo.s22geo import s22geo
from vgrid.conversion.dggs2geo.h32geo import h32geo
from vgrid.utils.geometry import geodesic_buffer
from vgrid.conversion.dggs2geo.rhealpix2geo import rhealpix2geo
from collections import deque
from shapely.geometry import Polygon, box
from shapely.wkt import loads as wkt_loads
import platform
from qgis.core import QgsFeature, QgsGeometry, QgsField, QgsFields, QgsWkbTypes
from qgis.PyQt.QtCore import QVariant
import re
import h3
import a5
from vgrid.dggs import s2, olc, mercantile

from vgrid.conversion.latlon2dggs import (
    latlon2h3,
    latlon2s2,
    latlon2a5,
    latlon2isea4t,
    latlon2isea3h,
    latlon2dggal,
    latlon2qtm,
    latlon2olc,
    latlon2geohash,
    latlon2tilecode,
    latlon2quadkey,
    latlon2digipin,
)
from vgrid.utils.io import (
    validate_h3_resolution,
    validate_s2_resolution,
    validate_a5_resolution,
    validate_isea4t_resolution,
    validate_isea3h_resolution,
    validate_rhealpix_resolution,
    validate_dggal_resolution,
    validate_dggrid_resolution,
    validate_qtm_resolution,
    validate_olc_resolution,
    validate_geohash_resolution,
    validate_tilecode_resolution,
    validate_quadkey_resolution,
    validate_digipin_resolution,
)
from ..dggrid_instance import (
    get_plugin_dggrid_instance,
    build_dggrid_options,
    vector_geom_to_dggrid_gdf_qgis,
)
from ...settings import settings
from vgrid.dggs.rhealpixdggs.dggs import RHEALPixDGGS
from vgrid.dggs.rhealpixdggs.ellipsoids import WGS84_ELLIPSOID

rhealpix_dggs = RHEALPixDGGS(
    ellipsoid=WGS84_ELLIPSOID, north_square=1, south_square=3, N_side=3
)


if platform.system() == "Windows":
    from vgrid.dggs.eaggr.eaggr import Eaggr
    from vgrid.dggs.eaggr.shapes.dggs_cell import DggsCell
    from vgrid.dggs.eaggr.enums.model import Model
    from vgrid.dggs.eaggr.enums.shape_string_format import ShapeStringFormat
    from vgrid.generator.isea4tgrid import get_isea4t_children_cells_within_bbox
    from vgrid.conversion.dggscompact.isea4tcompact import isea4t_compact
    from vgrid.conversion.dggscompact.isea3hcompact import isea3h_compact
    from vgrid.generator.isea3hgrid import get_isea3h_children_cells_within_bbox
    from vgrid.utils.constants import ISEA3H_ACCURACY_RES_DICT

    isea4t_dggs = Eaggr(Model.ISEA4T)
    isea3h_dggs = Eaggr(Model.ISEA3H)


app = Application(appGlobals=globals())
pydggal_setup(app)

geod = Geod(ellps="WGS84")


#######################
# QgsFeatures to H3
#######################
def qgsfeature2h3(feature, resolution, predicate=None, compact=None, feedback=None):
    resolution = validate_h3_resolution(resolution)
    gfeature_geom = feature.geometry()
    if gfeature_geom.wkbType() == QgsWkbTypes.Point:
        return point2h3(feature, resolution, feedback)
    elif gfeature_geom.wkbType() == QgsWkbTypes.LineString:
        return polyline2h3(feature, resolution, None, None, feedback)
    elif gfeature_geom.wkbType() == QgsWkbTypes.Polygon:
        return polygon2h3(feature, resolution, predicate, compact, feedback)


def point2h3(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []

    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    h3_id = latlon2h3(point.y(), point.x(), resolution)
    cell_polygon = h32geo(h3_id)

    num_edges = 6
    if h3.is_pentagon(h3_id):
        num_edges = 5

    center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
        geodesic_dggs_metrics(cell_polygon, num_edges)
    )

    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
    h3_feature = QgsFeature()
    h3_feature.setGeometry(cell_geometry)

    original_attributes = feature.attributes()
    original_fields = feature.fields()

    new_fields = QgsFields()
    new_fields.append(QgsField("h3", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    h3_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        str(h3_id),
        resolution,
        center_lat,
        center_lon,
        avg_edge_len,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    h3_feature.setAttributes(all_attributes)

    return [h3_feature]


def polyline2h3(feature, resolution, predicate=None, compact=None, feedback=None):
    h3_features = []
    feature_geometry = feature.geometry()
    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()
    # Create a Shapely box
    bbox = box(min_x, min_y, max_x, max_y)

    buufer_distance = h3.average_hexagon_edge_length(resolution, unit="m") * 2
    bbox_buffer = geodesic_buffer(bbox, buufer_distance)
    bbox_buffer_cells = h3.geo_to_cells(bbox_buffer, resolution)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    total_cells = len(bbox_buffer_cells)
    for i, bbox_buffer_cell in enumerate(bbox_buffer_cells):
        if feedback and feedback.isCanceled():
            return []
        cell_polygon = h32geo(bbox_buffer_cell)
        num_edges = 6
        if h3.is_pentagon(bbox_buffer_cell):
            num_edges = 5

        h3_id = str(bbox_buffer_cell)
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )
        cell_resolution = h3.get_resolution(h3_id)
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        if not check_predicate(cell_geometry, feature_geometry, "intersects"):
            continue

        h3_feature = QgsFeature()
        h3_feature.setGeometry(cell_geometry)

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new H3-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField("h3", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        h3_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            h3_id,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        h3_feature.setAttributes(all_attributes)

        h3_features.append(h3_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return h3_features


def polygon2h3(feature, resolution, predicate=None, compact=None, feedback=None):
    h3_features = []
    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())
    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()
    # Create a Shapely box
    bbox = box(min_x, min_y, max_x, max_y)

    buufer_distance = h3.average_hexagon_edge_length(resolution, unit="m") * 2
    bbox_buffer = geodesic_buffer(bbox, buufer_distance)
    bbox_buffer_cells = h3.geo_to_cells(bbox_buffer, resolution)

    # First collect cells that pass the predicate check
    filtered_cells = []
    total_cells = len(bbox_buffer_cells)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, bbox_buffer_cell in enumerate(bbox_buffer_cells):
        if feedback and feedback.isCanceled():
            return []

        cell_polygon = h32geo(bbox_buffer_cell)
        if not check_predicate(cell_polygon, shapely_geom, predicate):
            continue  # Skip non-matching cells
        filtered_cells.append(bbox_buffer_cell)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    # Apply compact after predicate check
    if compact:
        filtered_cells = h3.compact_cells(filtered_cells)

    # Convert filtered/compacted cells to features
    total_filtered_cells = len(filtered_cells)
    if feedback:
        feedback.setProgress(0)

    for i, cell_id in enumerate(filtered_cells):
        if feedback and feedback.isCanceled():
            return []

        cell_polygon = h32geo(cell_id)
        num_edges = 6
        if h3.is_pentagon(cell_id):
            num_edges = 5

        h3_id = str(cell_id)
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )
        cell_resolution = h3.get_resolution(h3_id)
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        h3_feature = QgsFeature()
        h3_feature.setGeometry(cell_geometry)

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new H3-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField("h3", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        h3_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            h3_id,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        h3_feature.setAttributes(all_attributes)

        h3_features.append(h3_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_filtered_cells))

    if feedback:
        feedback.setProgress(100)

    return h3_features


#######################
# QgsFeatures to S2
#######################
def qgsfeature2s2(feature, resolution, predicate=None, compact=None, feedback=None):
    resolution = validate_s2_resolution(resolution)
    gfeature_geom = feature.geometry()
    if gfeature_geom.wkbType() == QgsWkbTypes.Point:
        return point2s2(feature, resolution, feedback)
    elif gfeature_geom.wkbType() == QgsWkbTypes.LineString:
        return polyline2s2(feature, resolution, None, None, feedback)
    elif gfeature_geom.wkbType() == QgsWkbTypes.Polygon:
        return polygon2s2(feature, resolution, predicate, compact, feedback)


def point2s2(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []
    # Convert point to the seed cell
    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    s2_token = latlon2s2(point.y(), point.x(), resolution)
    cell_polygon = s22geo(s2_token)
    num_edges = 4
    center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
        geodesic_dggs_metrics(cell_polygon, num_edges)
    )

    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
    # Create a single QGIS feature
    s2_feature = QgsFeature()
    s2_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    # Define new s2-related attributes
    new_fields = QgsFields()
    new_fields.append(QgsField("s2", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    s2_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        s2_token,
        resolution,
        center_lat,
        center_lon,
        avg_edge_len,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    s2_feature.setAttributes(all_attributes)

    return [s2_feature]


def polyline2s2(feature, resolution, predicate=None, compact=None, feedback=None):
    s2_features = []

    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())
    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()
    level = resolution
    coverer = s2.RegionCoverer()
    coverer.min_level = level
    coverer.max_level = level

    region = s2.LatLngRect(
        s2.LatLng.from_degrees(min_y, min_x), s2.LatLng.from_degrees(max_y, max_x)
    )

    covering = coverer.get_covering(region)
    cell_ids = covering
    if compact:
        covering = s2.CellUnion(covering)
        covering.normalize()
        cell_ids = covering.cell_ids()

    total_cells = len(cell_ids)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, cell_id in enumerate(cell_ids):
        if feedback and feedback.isCanceled():
            return []

        cell_polygon = s22geo(cell_id)
        if not check_predicate(cell_polygon, shapely_geom, "intersects"):
            continue

        cell_token = s2.CellId.to_token(cell_id)
        cell_resolution = cell_id.level()

        num_edges = 4
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        s2_feature = QgsFeature()
        s2_feature.setGeometry(cell_geometry)

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new S2-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField("s2", QVariant.String))  # Dynamic cell ID field
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        s2_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            cell_token,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        s2_feature.setAttributes(all_attributes)

        s2_features.append(s2_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return s2_features


def polygon2s2(feature, resolution, predicate=None, compact=None, feedback=None):
    s2_features = []
    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())
    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()
    level = resolution
    coverer = s2.RegionCoverer()
    coverer.min_level = level
    coverer.max_level = level

    region = s2.LatLngRect(
        s2.LatLng.from_degrees(min_y, min_x), s2.LatLng.from_degrees(max_y, max_x)
    )

    covering = coverer.get_covering(region)
    cell_ids = covering
    total_cells = len(cell_ids)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    original_attributes = feature.attributes()
    original_fields = feature.fields()

    new_fields = QgsFields()
    new_fields.append(QgsField("s2", QVariant.String))  # Dynamic cell ID field
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))

    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    polygon_features = []

    for i, cell_id in enumerate(cell_ids):
        if feedback and feedback.isCanceled():
            return []

        cell_token = s2.CellId.to_token(cell_id)
        cell_polygon = s22geo(cell_token)
        if not check_predicate(cell_polygon, shapely_geom, predicate):
            continue

        cell_resolution = cell_id.level()

        num_edges = 4
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        s2_feature = QgsFeature()
        s2_feature.setGeometry(cell_geometry)
        s2_feature.setFields(all_fields)

        new_attributes = [
            cell_token,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        s2_feature.setAttributes(all_attributes)

        polygon_features.append(s2_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact and polygon_features:
        s2_tokens = [feat["s2"] for feat in polygon_features if feat["s2"]]
        try:
            polygon_cell_ids = [s2.CellId.from_token(token) for token in s2_tokens]
        except Exception:
            polygon_cell_ids = []

        if polygon_cell_ids:
            covering = s2.CellUnion(polygon_cell_ids)
            covering.normalize()
            compact_cell_ids = covering.cell_ids()
            compact_features = []

            if feedback:
                feedback.pushInfo("Compacting cells")
                feedback.setProgress(0)

            total_cells = len(compact_cell_ids)
            for i, compact_cell in enumerate(compact_cell_ids):
                if feedback and feedback.isCanceled():
                    return []

                cell_token = s2.CellId.to_token(compact_cell)
                cell_polygon = s22geo(cell_token)
                cell_resolution = compact_cell.level()

                num_edges = 4
                center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
                    geodesic_dggs_metrics(cell_polygon, num_edges)
                )

                cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

                s2_feature = QgsFeature()
                s2_feature.setGeometry(cell_geometry)
                s2_feature.setFields(all_fields)

                new_attributes = [
                    cell_token,
                    cell_resolution,
                    center_lat,
                    center_lon,
                    avg_edge_len,
                    cell_area,
                    cell_perimeter,
                ]
                all_attributes = original_attributes + new_attributes

                s2_feature.setAttributes(all_attributes)
                compact_features.append(s2_feature)

                if feedback and total_cells and i % 100 == 0:
                    feedback.setProgress(int(100 * i / total_cells))

            if feedback:
                feedback.setProgress(100)

            polygon_features = compact_features

    s2_features = polygon_features

    return s2_features


#######################
# QgsFeatures to A5
#######################


def qgsfeature2a5(feature, resolution, predicate=None, compact=None, feedback=None):
    resolution = validate_a5_resolution(resolution)
    gfeature_geom = feature.geometry()
    if gfeature_geom.wkbType() == QgsWkbTypes.Point:
        return point2a5(feature, resolution, feedback)
    elif gfeature_geom.wkbType() == QgsWkbTypes.LineString:
        return polyline2a5(feature, resolution, None, None, feedback)
    elif gfeature_geom.wkbType() == QgsWkbTypes.Polygon:
        return polygon2a5(feature, resolution, predicate, compact, feedback)


def point2a5(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []
    # Convert point to the seed cell
    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    a5_hex = latlon2a5(point.y(), point.x(), resolution)
    cell_polygon = a52geo(a5_hex)
    num_edges = 5
    if resolution == 1:
        num_edges = 3
    center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
        geodesic_dggs_metrics(cell_polygon, num_edges)
    )

    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
    # Create a single QGIS feature
    a5_feature = QgsFeature()
    a5_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    # Define new s2-related attributes
    new_fields = QgsFields()
    new_fields.append(QgsField("a5", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    a5_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        a5_hex,
        resolution,
        center_lat,
        center_lon,
        avg_edge_len,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    a5_feature.setAttributes(all_attributes)

    return [a5_feature]


def polyline2a5(feature, resolution, predicate=None, compact=None, feedback=None):
    """
    Convert a polyline feature to A5 grid cells.

    This mirrors `vgrid.conversion.vector2dggs.vector2a5.polyline2a5`:
    seed from the polyline bbox centroid, BFS over neighbor cells that intersect
    the bbox, then keep cells that intersect the input polyline.
    """
    if feedback and feedback.isCanceled():
        return []

    a5_features = []
    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())
    feature_rect = feature_geometry.boundingBox()
    min_lng = feature_rect.xMinimum()
    min_lat = feature_rect.yMinimum()
    max_lng = feature_rect.xMaximum()
    max_lat = feature_rect.yMaximum()

    bbox_polygon = box(min_lng, min_lat, max_lng, max_lat)
    bbox_center_lon = bbox_polygon.centroid.x
    bbox_center_lat = bbox_polygon.centroid.y

    seed_cell_id = a5.lonlat_to_cell((bbox_center_lon, bbox_center_lat), resolution)
    seed_cell_resolution = a5.get_resolution(seed_cell_id)
    seed_a5_hex = a5.u64_to_hex(seed_cell_id)
    seed_cell_polygon = a52geo(seed_a5_hex)

    if seed_cell_polygon is None or seed_cell_polygon.is_empty:
        return []

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    # Fast-path: seed cell fully contains bbox -> it must intersect the line
    if seed_cell_polygon.contains(bbox_polygon):
        num_edges = 5
        if seed_cell_resolution == 1:
            num_edges = 3

        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(seed_cell_polygon, num_edges)
        )

        cell_geometry = QgsGeometry.fromWkt(seed_cell_polygon.wkt)
        a5_feature = QgsFeature()
        a5_feature.setGeometry(cell_geometry)

        original_attributes = feature.attributes()
        original_fields = feature.fields()

        new_fields = QgsFields()
        new_fields.append(QgsField("a5", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))

        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)
        a5_feature.setFields(all_fields)

        new_attributes = [
            seed_a5_hex,
            seed_cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        a5_feature.setAttributes(original_attributes + new_attributes)

        if feedback:
            feedback.setProgress(100)
        return [a5_feature]

    intersecting_cells = {}  # {cell_u64: (cell_hex, shapely_polygon)}
    covered_cells = set()
    queue = deque([seed_cell_id])

    while queue:
        if feedback and feedback.isCanceled():
            return []

        current_cell_id = queue.popleft()
        if current_cell_id in covered_cells:
            continue
        covered_cells.add(current_cell_id)

        cell_hex = a5.u64_to_hex(current_cell_id)
        cell_polygon = a52geo(cell_hex)
        if cell_polygon is None or cell_polygon.is_empty:
            continue

        if cell_polygon.intersects(bbox_polygon):
            intersecting_cells[current_cell_id] = (cell_hex, cell_polygon)
            neighbors = a5.uncompact(
                a5.grid_disk_vertex(current_cell_id, 1), resolution
            )
            for neighbor_id in neighbors:
                if neighbor_id not in covered_cells:
                    queue.append(neighbor_id)

    total_cells = len(intersecting_cells)
    for i, (cell_id, (cell_hex, cell_polygon)) in enumerate(intersecting_cells.items()):
        if feedback and feedback.isCanceled():
            return []

        if not cell_polygon.intersects(shapely_geom):
            continue

        cell_resolution = a5.get_resolution(cell_id)
        num_edges = 5
        if cell_resolution == 1:
            num_edges = 3

        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
        a5_feature = QgsFeature()
        a5_feature.setGeometry(cell_geometry)

        original_attributes = feature.attributes()
        original_fields = feature.fields()

        new_fields = QgsFields()
        new_fields.append(QgsField("a5", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))

        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)
        a5_feature.setFields(all_fields)

        new_attributes = [
            cell_hex,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        a5_feature.setAttributes(original_attributes + new_attributes)

        a5_features.append(a5_feature)

        if feedback and total_cells and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return a5_features


def polygon2a5(feature, resolution, predicate=None, compact=None, feedback=None):
    """
    Convert a polygon feature to A5 grid cells.

    This mirrors the discovery strategy used in `vgrid.conversion.vector2dggs.vector2a5.polygon2a5`:
    seed from the polygon bbox centroid, BFS over neighbor cells that intersect the bbox,
    then filter candidate cells using `check_predicate` against the input polygon.
    """
    if feedback and feedback.isCanceled():
        return []

    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())
    feature_rect = feature_geometry.boundingBox()
    min_lng = feature_rect.xMinimum()
    min_lat = feature_rect.yMinimum()
    max_lng = feature_rect.xMaximum()
    max_lat = feature_rect.yMaximum()

    bbox_polygon = box(min_lng, min_lat, max_lng, max_lat)
    bbox_center_lon = bbox_polygon.centroid.x
    bbox_center_lat = bbox_polygon.centroid.y

    seed_cell_id = a5.lonlat_to_cell((bbox_center_lon, bbox_center_lat), resolution)
    seed_cell_resolution = a5.get_resolution(seed_cell_id)
    seed_a5_hex = a5.u64_to_hex(seed_cell_id)
    seed_cell_polygon = a52geo(seed_a5_hex)

    if seed_cell_polygon is None or seed_cell_polygon.is_empty:
        return []

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    # Fast-path: seed cell fully contains bbox
    if seed_cell_polygon.contains(bbox_polygon):
        if predicate and (
            not check_predicate(seed_cell_polygon, shapely_geom, predicate)
        ):
            return []

        num_edges = 5
        if seed_cell_resolution == 1:
            num_edges = 3
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(seed_cell_polygon, num_edges)
        )

        cell_geometry = QgsGeometry.fromWkt(seed_cell_polygon.wkt)
        a5_feature = QgsFeature()
        a5_feature.setGeometry(cell_geometry)

        original_attributes = feature.attributes()
        original_fields = feature.fields()

        new_fields = QgsFields()
        new_fields.append(QgsField("a5", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))

        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)
        a5_feature.setFields(all_fields)

        new_attributes = [
            seed_a5_hex,
            seed_cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        a5_feature.setAttributes(original_attributes + new_attributes)

        if feedback:
            feedback.setProgress(100)
        return [a5_feature]

    # BFS discovery over bbox-intersecting cells
    intersecting_cells = {}  # {cell_u64: (cell_hex, shapely_polygon)}
    covered_cells = set()
    queue = deque([seed_cell_id])

    while queue:
        if feedback and feedback.isCanceled():
            return []

        current_cell_id = queue.popleft()
        if current_cell_id in covered_cells:
            continue
        covered_cells.add(current_cell_id)

        cell_hex = a5.u64_to_hex(current_cell_id)
        cell_polygon = a52geo(cell_hex)
        if cell_polygon is None or cell_polygon.is_empty:
            continue

        if cell_polygon.intersects(bbox_polygon):
            intersecting_cells[current_cell_id] = (cell_hex, cell_polygon)
            neighbors = a5.uncompact(
                a5.grid_disk_vertex(current_cell_id, 1), resolution
            )
            for neighbor_id in neighbors:
                if neighbor_id not in covered_cells:
                    queue.append(neighbor_id)

    a5_features = []
    total_cells = len(intersecting_cells)

    for i, (cell_id, (cell_hex, cell_polygon)) in enumerate(intersecting_cells.items()):
        if feedback and feedback.isCanceled():
            return []

        if not check_predicate(cell_polygon, shapely_geom, predicate):
            continue

        cell_resolution = a5.get_resolution(cell_id)
        num_edges = 5
        if cell_resolution == 1:
            num_edges = 3

        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
        a5_feature = QgsFeature()
        a5_feature.setGeometry(cell_geometry)

        original_attributes = feature.attributes()
        original_fields = feature.fields()

        new_fields = QgsFields()
        new_fields.append(QgsField("a5", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))

        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)
        a5_feature.setFields(all_fields)

        new_attributes = [
            cell_hex,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        a5_feature.setAttributes(original_attributes + new_attributes)

        a5_features.append(a5_feature)

        if feedback and total_cells and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact and a5_features:
        a5_features = a5compact_from_qgsfeatures(a5_features, feedback)

    return a5_features


def a5compact_from_qgsfeatures(qgs_features, feedback):
    original_fields = qgs_features[0].fields()
    # Get original attributes from the first feature (excluding A5-specific fields)
    original_attributes = qgs_features[0].attributes()

    # Find the indices of A5-specific fields to exclude from original attributes
    a5_field_names = [
        "a5",
        "resolution",
        "center_lat",
        "center_lon",
        "avg_edge_len",
        "cell_area",
    ]
    a5_field_indices = []
    for field_name in a5_field_names:
        field_index = original_fields.indexOf(field_name)
        if field_index >= 0:
            a5_field_indices.append(field_index)

    # Create list of original attributes excluding A5-specific fields
    preserved_attributes = []
    for i, attr in enumerate(original_attributes):
        if i not in a5_field_indices:
            preserved_attributes.append(attr)

    a5_hexes = [f["a5"] for f in qgs_features if f["a5"]]

    a5_hexes_compact = a5_compact(a5_hexes)
    a5_features = []
    total_cells = len(a5_hexes_compact)
    if feedback:
        feedback.pushInfo("Compacting cells")
        feedback.setProgress(0)

    for i, a5_hex_compact in enumerate(a5_hexes_compact):
        if feedback and feedback.isCanceled():
            return []
        cell_polygon = a52geo(a5_hex_compact)
        cell_resolution = a5.get_resolution(a5.hex_to_u64(a5_hex_compact))
        num_edges = 5  # A5 cells are pentagons
        if cell_resolution == 1:
            num_edges = 3
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        a5_feature = QgsFeature()
        a5_feature.setFields(original_fields)
        a5_feature.setGeometry(cell_geometry)

        # Set preserved original attributes
        attr_index = 0
        for j, attr in enumerate(original_attributes):
            if j not in a5_field_indices:
                a5_feature[original_fields[j].name()] = preserved_attributes[attr_index]
                attr_index += 1

        # Overwrite A5-specific attributes
        a5_feature["a5"] = a5_hex_compact
        a5_feature["resolution"] = cell_resolution
        a5_feature["center_lat"] = center_lat
        a5_feature["center_lon"] = center_lon
        a5_feature["avg_edge_len"] = avg_edge_len
        a5_feature["cell_area"] = cell_area
        a5_feature["cell_perimeter"] = cell_perimeter
        a5_features.append(a5_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return a5_features


######################
# QgsFeatures to DGGAL
#######################
def qgsfeature2dggal(
    dggal_type, feature, resolution, predicate=None, compact=None, feedback=None
):
    resolution = validate_dggal_resolution(dggal_type, resolution)
    feature_geom = feature.geometry()
    if feature_geom.wkbType() == QgsWkbTypes.Point:
        return point2dggal(dggal_type, feature, resolution, feedback)
    elif feature_geom.wkbType() == QgsWkbTypes.LineString:
        return polyline2dggal(dggal_type, feature, resolution, None, None, feedback)
    elif feature_geom.wkbType() == QgsWkbTypes.Polygon:
        return polygon2dggal(
            dggal_type, feature, resolution, predicate, compact, feedback
        )


def point2dggal(dggal_type, feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []
    resolution = validate_dggal_resolution(dggal_type, resolution)
    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    dggal_id = latlon2dggal(dggal_type, point.y(), point.x(), resolution)
    dggs_class_name = DGGAL_TYPES[dggal_type]["class_name"]
    dggrs = globals()[dggs_class_name]()
    zone = dggrs.getZoneFromTextID(dggal_id)
    num_edges = dggrs.countZoneEdges(zone)

    cell_polygon = dggal2geo(dggal_type, dggal_id)
    center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
        geodesic_dggs_metrics(cell_polygon, num_edges)
    )

    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
    # Create a single QGIS feature
    dggal_feature = QgsFeature()
    dggal_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    # Define new s2-related attributes
    new_fields = QgsFields()
    new_fields.append(QgsField(dggal_type, QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    dggal_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        dggal_id,
        resolution,
        center_lat,
        center_lon,
        avg_edge_len,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    dggal_feature.setAttributes(all_attributes)

    return [dggal_feature]


def polyline2dggal(
    dggal_type, feature, resolution, predicate=None, compact=None, feedback=None
):
    resolution = validate_dggal_resolution(dggal_type, resolution)

    if feature is None:
        return []

    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())
    feature_rect = feature_geometry.boundingBox()

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    # Create the appropriate DGGS instance
    dggs_class_name = DGGAL_TYPES[dggal_type]["class_name"]
    dggrs = globals()[dggs_class_name]()

    # Convert bounds from (minx, miny, maxx, maxy) to (min_lon, min_lat, max_lon, max_lat)
    min_lon, min_lat = feature_rect.xMinimum(), feature_rect.yMinimum()
    max_lon, max_lat = feature_rect.xMaximum(), feature_rect.yMaximum()

    # Create GeoExtent for DGGAL
    ll = GeoPoint(min_lat, min_lon)
    ur = GeoPoint(max_lat, max_lon)
    geo_extent = GeoExtent(ll, ur)

    # Get zones from DGGAL
    zones = dggrs.listZones(resolution, geo_extent)

    dggal_features = []
    total_zones = len(zones)

    for idx, zone in enumerate(zones):
        if feedback and feedback.isCanceled():
            return []

        zone_id = dggrs.getZoneTextID(zone)
        num_edges = dggrs.countZoneEdges(zone)
        cell_resolution = dggrs.getZoneLevel(zone)

        # Convert zone to geometry using dggal2geo
        cell_polygon = dggal2geo(dggal_type, zone_id)
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        # Check intersection with the feature geometry
        if not check_predicate(cell_polygon, shapely_geom, "intersects"):
            continue

        # Calculate metrics
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )

        # Create QGIS feature
        dggal_feature = QgsFeature()
        dggal_feature.setGeometry(cell_geometry)

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new DGGAL-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField(f"dggal_{dggal_type}", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))

        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        dggal_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            zone_id,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        dggal_feature.setAttributes(all_attributes)

        dggal_features.append(dggal_feature)

        if feedback and idx % 100 == 0:
            feedback.setProgress(int(100 * idx / total_zones))

    if feedback:
        feedback.setProgress(100)

    return dggal_features


def polygon2dggal(
    dggal_type, feature, resolution, predicate=None, compact=None, feedback=None
):
    resolution = validate_dggal_resolution(dggal_type, resolution)

    if feature is None:
        return []

    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())
    feature_rect = feature_geometry.boundingBox()

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    # Create the appropriate DGGS instance
    dggs_class_name = DGGAL_TYPES[dggal_type]["class_name"]
    dggrs = globals()[dggs_class_name]()

    # Convert bounds from (minx, miny, maxx, maxy) to (min_lon, min_lat, max_lon, max_lat)
    min_lon, min_lat = feature_rect.xMinimum(), feature_rect.yMinimum()
    max_lat, max_lon = feature_rect.yMaximum(), feature_rect.xMaximum()

    ll = GeoPoint(min_lat, min_lon)
    ur = GeoPoint(max_lat, max_lon)
    geo_extent = GeoExtent(ll, ur)

    # Get zones from DGGAL
    zones = dggrs.listZones(resolution, geo_extent)

    dggal_features = []
    total_zones = len(zones)

    for idx, zone in enumerate(zones):
        if feedback and feedback.isCanceled():
            return []

        zone_id = dggrs.getZoneTextID(zone)
        num_edges = dggrs.countZoneEdges(zone)
        cell_resolution = dggrs.getZoneLevel(zone)

        # Convert zone to geometry using dggal2geo
        cell_polygon = dggal2geo(dggal_type, zone_id)
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        # Check predicate with the feature geometry
        if not check_predicate(cell_polygon, shapely_geom, predicate):
            continue

        # Calculate metrics
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )

        # Create QGIS feature
        dggal_feature = QgsFeature()
        dggal_feature.setGeometry(cell_geometry)

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new DGGAL-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField(f"dggal_{dggal_type}", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))

        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        dggal_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            zone_id,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        dggal_feature.setAttributes(all_attributes)

        dggal_features.append(dggal_feature)

        if feedback and idx % 100 == 0:
            feedback.setProgress(int(100 * idx / total_zones))

    if feedback:
        feedback.setProgress(100)

    # Apply compact mode if enabled
    if compact and dggal_features:
        dggal_features = dggalcompact_from_qgsfeatures(dggal_features, feedback)

    return dggal_features


def dggalcompact_from_qgsfeatures(qgs_features, feedback):
    # Find the DGGAL field name from the fields
    original_fields = qgs_features[0].fields()
    dggal_field_name = None
    for field in original_fields:
        if field.name().startswith("dggal_"):
            dggal_field_name = field.name()
            dggal_type = field.name().replace("dggal_", "")
            break

    if dggal_field_name is None:
        return qgs_features  # Return original features if no DGGAL field found

    # Get original attributes from the first feature (excluding DGGAL-specific fields)
    original_attributes = qgs_features[0].attributes()

    # Find the indices of DGGAL-specific fields to exclude from original attributes
    dggal_field_names = [
        dggal_field_name,
        "resolution",
        "center_lat",
        "center_lon",
        "avg_edge_len",
        "cell_area",
        "cell_perimeter",
    ]
    dggal_field_indices = []
    for field_name in dggal_field_names:
        field_index = original_fields.indexOf(field_name)
        if field_index >= 0:
            dggal_field_indices.append(field_index)

    # Create list of original attributes excluding DGGAL-specific fields
    preserved_attributes = []
    for i, attr in enumerate(original_attributes):
        if i not in dggal_field_indices:
            preserved_attributes.append(attr)

    dggal_ids = [f[dggal_field_name] for f in qgs_features if f[dggal_field_name]]

    dggal_ids_compact = dggal_compact(dggal_type, dggal_ids)
    dggal_features = []
    total_cells = len(dggal_ids_compact)
    if feedback:
        feedback.pushInfo("Compacting cells")
        feedback.setProgress(0)

    for i, dggal_id_compact in enumerate(dggal_ids_compact):
        if feedback and feedback.isCanceled():
            return []
        dggs_class_name = DGGAL_TYPES[dggal_type]["class_name"]
        dggrs = getattr(dggal, dggs_class_name)()
        zone = dggrs.getZoneFromTextID(dggal_id_compact)
        num_edges = dggrs.countZoneEdges(zone)
        cell_polygon = dggal2geo(dggal_type, dggal_id_compact)
        cell_resolution = dggrs.getZoneLevel(zone)
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        dggal_feature = QgsFeature()
        dggal_feature.setFields(original_fields)
        dggal_feature.setGeometry(cell_geometry)

        # Set preserved original attributes
        attr_index = 0
        for j, attr in enumerate(original_attributes):
            if j not in dggal_field_indices:
                dggal_feature[original_fields[j].name()] = preserved_attributes[
                    attr_index
                ]
                attr_index += 1

        # Overwrite DGGAL-specific attributes
        dggal_feature[dggal_field_name] = dggal_id_compact
        dggal_feature["resolution"] = cell_resolution
        dggal_feature["center_lat"] = center_lat
        dggal_feature["center_lon"] = center_lon
        dggal_feature["avg_edge_len"] = avg_edge_len
        dggal_feature["cell_area"] = cell_area
        dggal_feature["cell_perimeter"] = cell_perimeter
        dggal_features.append(dggal_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return dggal_features


#######################
# QgsFeatures to rHEALPix
#######################


def qgsfeature2rhealpix(
    feature, resolution, predicate=None, compact=None, feedback=None
):
    resolution = validate_rhealpix_resolution(resolution)
    gfeature_geom = feature.geometry()
    if gfeature_geom.wkbType() == QgsWkbTypes.Point:
        return point2rhealpix(feature, resolution, feedback)
    elif gfeature_geom.wkbType() == QgsWkbTypes.LineString:
        return polyline2rhealpix(feature, resolution, None, None, feedback)
    elif gfeature_geom.wkbType() == QgsWkbTypes.Polygon:
        return polygon2rhealpix(feature, resolution, predicate, compact, feedback)


def point2rhealpix(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []

    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    longitude = point.x()
    latitude = point.y()

    # Convert point to the seed cell
    seed_cell = rhealpix_dggs.cell_from_point(
        resolution, (longitude, latitude), plane=False
    )
    seed_cell_id = str(seed_cell)  # Unique identifier for the current cell
    seed_cell_polygon = rhealpix2geo(seed_cell_id)

    num_edges = 4
    if seed_cell.ellipsoidal_shape() == "dart":
        num_edges = 3
    center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
        geodesic_dggs_metrics(seed_cell_polygon, num_edges)
    )

    cell_geometry = QgsGeometry.fromWkt(seed_cell_polygon.wkt)

    # Create a single QGIS feature
    rhealpix_feature = QgsFeature()
    rhealpix_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    # Define new s2-related attributes
    new_fields = QgsFields()
    new_fields.append(QgsField("rhealpix", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    rhealpix_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        seed_cell_id,
        resolution,
        center_lat,
        center_lon,
        avg_edge_len,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    rhealpix_feature.setAttributes(all_attributes)

    return [rhealpix_feature]


def polyline2rhealpix(feature, resolution, predicate=None, compact=None, feedback=None):
    rhealpix_features = []

    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())

    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()

    # Create a bounding box polygon
    bbox_polygon = box(min_x, min_y, max_x, max_y)

    bbox_center_lon = bbox_polygon.centroid.x
    bbox_center_lat = bbox_polygon.centroid.y
    seed_point = (bbox_center_lon, bbox_center_lat)

    seed_cell = rhealpix_dggs.cell_from_point(resolution, seed_point, plane=False)
    seed_cell_id = str(seed_cell)  # Unique identifier for the current cell
    seed_cell_polygon = rhealpix2geo(seed_cell_id)

    if seed_cell_polygon.contains(bbox_polygon):
        num_edges = 4
        if seed_cell.ellipsoidal_shape() == "dart":
            num_edges = 3
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(seed_cell_polygon, num_edges)
        )
        cell_resolution = resolution
        cell_geometry = QgsGeometry.fromWkt(seed_cell_polygon.wkt)
        # Create a single QGIS feature
        rhealpix_feature = QgsFeature()
        rhealpix_feature.setGeometry(cell_geometry)

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new S2-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField("rhealpix", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        rhealpix_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            seed_cell_id,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        rhealpix_feature.setAttributes(all_attributes)

        rhealpix_features.append(rhealpix_feature)

    else:
        # Initialize sets and queue
        covered_cells = set()  # Cells that have been processed (by their unique ID)
        queue = [seed_cell]  # Queue for BFS exploration
        while queue:
            if feedback and feedback.isCanceled():
                return []
            current_cell = queue.pop()
            current_cell_id = str(
                current_cell
            )  # Unique identifier for the current cell

            if current_cell_id in covered_cells:
                continue

            # Add current cell to the covered set
            covered_cells.add(current_cell_id)

            # Convert current cell to polygon
            cell_polygon = rhealpix2geo(current_cell_id)
            if not cell_polygon.intersects(bbox_polygon):
                continue  # Get neighbors and add to queue
            neighbors = current_cell.neighbors(plane=False)
            for _, neighbor in neighbors.items():
                neighbor_id = str(neighbor)  # Unique identifier for the neighbor
                if neighbor_id not in covered_cells:
                    queue.append(neighbor)

        total_cells = len(covered_cells)

        if feedback:
            feedback.pushInfo(f"Processing feature {feature.id()}")
            feedback.setProgress(0)

        for i, cell_id in enumerate(covered_cells):
            if feedback and feedback.isCanceled():
                return []

            rhealpix_uids = (cell_id[0],) + tuple(map(int, cell_id[1:]))
            rhelpix_cell = rhealpix_dggs.cell(rhealpix_uids)
            cell_polygon = rhealpix2geo(cell_id)

            num_edges = 4
            if seed_cell.ellipsoidal_shape() == "dart":
                num_edges = 3
            center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
                geodesic_dggs_metrics(cell_polygon, num_edges)
            )
            cell_resolution = rhelpix_cell.resolution
            cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
            if not check_predicate(cell_polygon, shapely_geom, "intersects"):
                continue
            # Create a single QGIS feature
            rhealpix_feature = QgsFeature()
            rhealpix_feature.setGeometry(cell_geometry)

            # Get all attributes from the input feature
            original_attributes = feature.attributes()
            original_fields = feature.fields()

            # Define new S2-related attributes
            new_fields = QgsFields()
            new_fields.append(QgsField("rhealpix", QVariant.String))
            new_fields.append(QgsField("resolution", QVariant.Int))
            new_fields.append(QgsField("center_lat", QVariant.Double))
            new_fields.append(QgsField("center_lon", QVariant.Double))
            new_fields.append(QgsField("avg_edge_len", QVariant.Double))
            new_fields.append(QgsField("cell_area", QVariant.Double))
            new_fields.append(QgsField("cell_perimeter", QVariant.Double))
            # Combine original fields and new fields
            all_fields = QgsFields()
            for field in original_fields:
                all_fields.append(field)
            for field in new_fields:
                all_fields.append(field)

            rhealpix_feature.setFields(all_fields)

            # Combine original attributes with new attributes
            new_attributes = [
                cell_id,
                cell_resolution,
                center_lat,
                center_lon,
                avg_edge_len,
                cell_area,
                cell_perimeter,
            ]
            all_attributes = original_attributes + new_attributes

            rhealpix_feature.setAttributes(all_attributes)

            rhealpix_features.append(rhealpix_feature)

            if feedback and i % 100 == 0:
                feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return rhealpix_features


def polygon2rhealpix(feature, resolution, predicate=None, compact=None, feedback=None):
    rhealpix_features = []

    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())

    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()

    # Create a bounding box polygon
    bbox_polygon = box(min_x, min_y, max_x, max_y)

    bbox_center_lon = bbox_polygon.centroid.x
    bbox_center_lat = bbox_polygon.centroid.y
    seed_point = (bbox_center_lon, bbox_center_lat)

    seed_cell = rhealpix_dggs.cell_from_point(resolution, seed_point, plane=False)
    seed_cell_id = str(seed_cell)  # Unique identifier for the current cell
    seed_cell_polygon = rhealpix2geo(seed_cell_id)

    if seed_cell_polygon.contains(bbox_polygon):
        num_edges = 4
        if seed_cell.ellipsoidal_shape() == "dart":
            num_edges = 3
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(seed_cell_polygon, num_edges)
        )
        cell_resolution = resolution
        cell_geometry = QgsGeometry.fromWkt(seed_cell_polygon.wkt)
        # Create a single QGIS feature
        rhealpix_feature = QgsFeature()
        rhealpix_feature.setGeometry(cell_geometry)

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new S2-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField("rhealpix", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        rhealpix_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            seed_cell_id,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        rhealpix_feature.setAttributes(all_attributes)

        rhealpix_features.append(rhealpix_feature)

    else:
        # Initialize sets and queue
        covered_cells = set()  # Cells that have been processed (by their unique ID)
        queue = [seed_cell]  # Queue for BFS exploration
        while queue:
            if feedback and feedback.isCanceled():
                return []
            current_cell = queue.pop()
            current_cell_id = str(
                current_cell
            )  # Unique identifier for the current cell

            if current_cell_id in covered_cells:
                continue

            # Add current cell to the covered set
            covered_cells.add(current_cell_id)

            # Convert current cell to polygon
            cell_polygon = rhealpix2geo(current_cell_id)
            if not cell_polygon.intersects(bbox_polygon):
                continue
            # Get neighbors and add to queue
            neighbors = current_cell.neighbors(plane=False)
            for _, neighbor in neighbors.items():
                neighbor_id = str(neighbor)  # Unique identifier for the neighbor
                if neighbor_id not in covered_cells:
                    queue.append(neighbor)

        total_cells = len(covered_cells)

        if feedback:
            feedback.pushInfo(f"Processing feature {feature.id()}")
            feedback.setProgress(0)

        for i, cell_id in enumerate(covered_cells):
            if feedback and feedback.isCanceled():
                return []

            rhealpix_uids = (cell_id[0],) + tuple(map(int, cell_id[1:]))
            rhelpix_cell = rhealpix_dggs.cell(rhealpix_uids)
            cell_polygon = rhealpix2geo(cell_id)
            if not check_predicate(cell_polygon, shapely_geom, predicate):
                continue

            num_edges = 4
            if rhelpix_cell.ellipsoidal_shape() == "dart":
                num_edges = 3
            center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
                geodesic_dggs_metrics(cell_polygon, num_edges)
            )
            cell_resolution = rhelpix_cell.resolution
            cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
            # Create a single QGIS feature
            rhealpix_feature = QgsFeature()
            rhealpix_feature.setGeometry(cell_geometry)

            # Get all attributes from the input feature
            original_attributes = feature.attributes()
            original_fields = feature.fields()

            # Define new S2-related attributes
            new_fields = QgsFields()
            new_fields.append(QgsField("rhealpix", QVariant.String))
            new_fields.append(QgsField("resolution", QVariant.Int))
            new_fields.append(QgsField("center_lat", QVariant.Double))
            new_fields.append(QgsField("center_lon", QVariant.Double))
            new_fields.append(QgsField("avg_edge_len", QVariant.Double))
            new_fields.append(QgsField("cell_area", QVariant.Double))
            new_fields.append(QgsField("cell_perimeter", QVariant.Double))
            # Combine original fields and new fields
            all_fields = QgsFields()
            for field in original_fields:
                all_fields.append(field)
            for field in new_fields:
                all_fields.append(field)

            rhealpix_feature.setFields(all_fields)

            # Combine original attributes with new attributes
            new_attributes = [
                cell_id,
                cell_resolution,
                center_lat,
                center_lon,
                avg_edge_len,
                cell_area,
                cell_perimeter,
            ]
            all_attributes = original_attributes + new_attributes

            rhealpix_feature.setAttributes(all_attributes)

            rhealpix_features.append(rhealpix_feature)

            if feedback and i % 100 == 0:
                feedback.setProgress(int(100 * i / total_cells))

        # Compact mode: apply to rhealpix_features after predicate check
        if compact:
            # Extract cell IDs from rhealpix_features
            cells_to_process = [
                f["rhealpix"] for f in rhealpix_features if f["rhealpix"]
            ]
            # Apply compact
            cells_to_process = rhealpix_compact(cells_to_process)
            # Rebuild rhealpix_features with compacted cells
            rhealpix_features = []
            total_cells = len(cells_to_process)
            if feedback:
                feedback.pushInfo("Compacting cells")
                feedback.setProgress(0)

            for i, cell_id in enumerate(cells_to_process):
                if feedback and feedback.isCanceled():
                    return []

                rhealpix_uids = (cell_id[0],) + tuple(map(int, cell_id[1:]))
                rhelpix_cell = rhealpix_dggs.cell(rhealpix_uids)
                cell_polygon = rhealpix2geo(cell_id)

                # No need to re-check predicate for parent cells from compact mode

                num_edges = 4
                if rhelpix_cell.ellipsoidal_shape() == "dart":
                    num_edges = 3
                center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
                    geodesic_dggs_metrics(cell_polygon, num_edges)
                )
                cell_resolution = rhelpix_cell.resolution
                cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

                # Create a single QGIS feature
                rhealpix_feature = QgsFeature()
                rhealpix_feature.setGeometry(cell_geometry)

                # Get all attributes from the input feature
                original_attributes = feature.attributes()
                original_fields = feature.fields()

                # Define new S2-related attributes
                new_fields = QgsFields()
                new_fields.append(QgsField("rhealpix", QVariant.String))
                new_fields.append(QgsField("resolution", QVariant.Int))
                new_fields.append(QgsField("center_lat", QVariant.Double))
                new_fields.append(QgsField("center_lon", QVariant.Double))
                new_fields.append(QgsField("avg_edge_len", QVariant.Double))
                new_fields.append(QgsField("cell_area", QVariant.Double))
                new_fields.append(QgsField("cell_perimeter", QVariant.Double))
                # Combine original fields and new fields
                all_fields = QgsFields()
                for field in original_fields:
                    all_fields.append(field)
                for field in new_fields:
                    all_fields.append(field)

                rhealpix_feature.setFields(all_fields)

                # Combine original attributes with new attributes
                new_attributes = [
                    cell_id,
                    cell_resolution,
                    center_lat,
                    center_lon,
                    avg_edge_len,
                    cell_area,
                    cell_perimeter,
                ]
                all_attributes = original_attributes + new_attributes

                rhealpix_feature.setAttributes(all_attributes)

                rhealpix_features.append(rhealpix_feature)

                if feedback and i % 100 == 0:
                    feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return rhealpix_features


#######################
# QgsFeatures to OpenEAGGR ISEA4T
#######################


def qgsfeature2isea4t(feature, resolution, predicate=None, compact=None, feedback=None):
    if platform.system() == "Windows":
        resolution = validate_isea4t_resolution(resolution)
        feature_geom = feature.geometry()
        if feature_geom.wkbType() == QgsWkbTypes.Point:
            return point2isea4t(feature, resolution, feedback)
        elif feature_geom.wkbType() == QgsWkbTypes.LineString:
            return polyline2isea4t(feature, resolution, None, None, feedback)
        elif feature_geom.wkbType() == QgsWkbTypes.Polygon:
            return polygon2isea4t(feature, resolution, predicate, compact, feedback)


def point2isea4t(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []

    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    isea4t_id = latlon2isea4t(point.y(), point.x(), resolution)
    cell_polygon = isea4t2geo(isea4t_id)

    num_edges = 3
    center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
        geodesic_dggs_metrics(cell_polygon, num_edges)
    )

    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

    # Create a single QGIS feature
    isea4t_feature = QgsFeature()
    isea4t_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    # Define new s2-related attributes
    new_fields = QgsFields()
    new_fields.append(QgsField("isea4t", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    isea4t_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        isea4t_id,
        resolution,
        center_lat,
        center_lon,
        avg_edge_len,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    isea4t_feature.setAttributes(all_attributes)

    return [isea4t_feature]


def polyline2isea4t(feature, resolution, predicate=None, compact=None, feedback=None):
    isea4t_features = []
    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())

    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()

    # Create a bounding box polygon
    bounding_box = box(min_x, min_y, max_x, max_y)
    bounding_box_wkt = bounding_box.wkt  # Create a bounding box polygon
    accuracy = ISEA4T_RES_ACCURACY_DICT.get(resolution)
    shapes = isea4t_dggs.convert_shape_string_to_dggs_shapes(
        bounding_box_wkt, ShapeStringFormat.WKT, accuracy
    )
    shape = shapes[0]
    # for shape in shapes:
    bbox_cells = shape.get_shape().get_outer_ring().get_cells()
    bounding_cell = isea4t_dggs.get_bounding_dggs_cell(bbox_cells)
    bounding_child_cells = get_isea4t_children_cells_within_bbox(
        bounding_cell.get_cell_id(), bounding_box, resolution
    )

    if compact:
        bounding_child_cells = isea4t_compact(bounding_child_cells)

    total_cells = len(bounding_child_cells)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, child in enumerate(bounding_child_cells):
        if feedback and feedback.isCanceled():
            return []
        isea4t_id = child
        cell_polygon = isea4t2geo(isea4t_id)
        if not check_predicate(cell_polygon, shapely_geom, "intersects"):
            continue

        num_edges = 3
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )
        cell_resolution = len(isea4t_id) - 2
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        # Create a single QGIS feature
        isea4t_feature = QgsFeature()
        isea4t_feature.setGeometry(cell_geometry)

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new S2-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField("isea4t", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        isea4t_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            isea4t_id,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        isea4t_feature.setAttributes(all_attributes)

        isea4t_features.append(isea4t_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return isea4t_features


def polygon2isea4t(feature, resolution, predicate=None, compact=None, feedback=None):
    isea4t_features = []
    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())

    # Prepare combined field schema once
    original_attributes = feature.attributes()
    original_fields = feature.fields()
    new_fields = QgsFields()
    new_fields.append(QgsField("isea4t", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()

    # Create a bounding box polygon
    bounding_box = box(min_x, min_y, max_x, max_y)
    bounding_box_wkt = bounding_box.wkt  # Create a bounding box polygon
    accuracy = ISEA4T_RES_ACCURACY_DICT.get(resolution)
    shapes = isea4t_dggs.convert_shape_string_to_dggs_shapes(
        bounding_box_wkt, ShapeStringFormat.WKT, accuracy
    )
    shape = shapes[0]
    # for shape in shapes:
    bbox_cells = shape.get_shape().get_outer_ring().get_cells()
    bounding_cell = isea4t_dggs.get_bounding_dggs_cell(bbox_cells)
    bounding_child_cells = get_isea4t_children_cells_within_bbox(
        bounding_cell.get_cell_id(), bounding_box, resolution
    )

    total_cells = len(bounding_child_cells)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, child in enumerate(bounding_child_cells):
        if feedback and feedback.isCanceled():
            return []
        isea4t_id = child
        cell_polygon = isea4t2geo(isea4t_id)
        if not check_predicate(cell_polygon, shapely_geom, predicate):
            continue

        num_edges = 3
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )
        cell_resolution = len(isea4t_id) - 2
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        # Create a single QGIS feature
        isea4t_feature = QgsFeature()
        isea4t_feature.setGeometry(cell_geometry)
        isea4t_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            isea4t_id,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        isea4t_feature.setAttributes(all_attributes)

        isea4t_features.append(isea4t_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    # Compact mode: apply after predicate filtering similar to vector2isea4t
    if compact and isea4t_features:
        cells_to_process = [f["isea4t"] for f in isea4t_features if f["isea4t"]]
        cells_to_process = isea4t_compact(cells_to_process)
        compact_features = []
        total_cells = len(cells_to_process)
        if feedback:
            feedback.pushInfo("Compacting cells")
            feedback.setProgress(0)

        for i, cell_id in enumerate(cells_to_process):
            if feedback and feedback.isCanceled():
                return []

            cell_polygon = isea4t2geo(cell_id)
            num_edges = 3
            cell_resolution = len(cell_id) - 2
            (
                center_lat,
                center_lon,
                avg_edge_len,
                cell_area,
                cell_perimeter,
            ) = geodesic_dggs_metrics(cell_polygon, num_edges)
            cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

            isea4t_feature = QgsFeature()
            isea4t_feature.setGeometry(cell_geometry)
            isea4t_feature.setFields(all_fields)

            new_attributes = [
                cell_id,
                cell_resolution,
                center_lat,
                center_lon,
                avg_edge_len,
                cell_area,
                cell_perimeter,
            ]
            all_attributes = original_attributes + new_attributes
            isea4t_feature.setAttributes(all_attributes)
            compact_features.append(isea4t_feature)

            if feedback and i % 100 == 0 and total_cells:
                feedback.setProgress(int(100 * i / total_cells))

        if feedback:
            feedback.setProgress(100)
        isea4t_features = compact_features

    return isea4t_features


#######################
# QgsFeatures to OpenEAGGR ISEA3H
#######################
def qgsfeature2isea3h(feature, resolution, predicate=None, compact=None, feedback=None):
    if platform.system() == "Windows":
        resolution = validate_isea3h_resolution(resolution)
        feature_geometry = feature.geometry()
        if feature_geometry.wkbType() == QgsWkbTypes.Point:
            return point2isea3h(feature, resolution, feedback)
        elif feature_geometry.wkbType() == QgsWkbTypes.LineString:
            return polyline2isea3h(feature, resolution, None, None, feedback)
        elif feature_geometry.wkbType() == QgsWkbTypes.Polygon:
            return polygon2isea3h(feature, resolution, predicate, compact, feedback)


def point2isea3h(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []
    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    isea3h_id = latlon2isea3h(point.y(), point.x(), resolution)
    cell_polygon = isea3h2geo(isea3h_id)

    num_edges = 6
    cell_resolution = resolution
    if cell_resolution == 0:
        num_edges = 3  # icosahedron faces
    center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
        geodesic_dggs_metrics(cell_polygon, num_edges)
    )

    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

    # Create a single QGIS feature
    isea3h_feature = QgsFeature()
    isea3h_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    # Define new s2-related attributes
    new_fields = QgsFields()
    new_fields.append(QgsField("isea3h", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    isea3h_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        isea3h_id,
        cell_resolution,
        center_lat,
        center_lon,
        avg_edge_len,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    isea3h_feature.setAttributes(all_attributes)

    return [isea3h_feature]


def polyline2isea3h(feature, resolution, predicate=None, compact=None, feedback=None):
    isea3h_features = []

    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())
    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()

    # Create a bounding box polygon
    bounding_box = box(min_x, min_y, max_x, max_y)
    bounding_box_wkt = bounding_box.wkt  # Create a bounding box polygon
    accuracy = ISEA3H_RES_ACCURACY_DICT.get(resolution)
    shapes = isea3h_dggs.convert_shape_string_to_dggs_shapes(
        bounding_box_wkt, ShapeStringFormat.WKT, accuracy
    )
    shape = shapes[0]
    # for shape in shapes:
    bbox_cells = shape.get_shape().get_outer_ring().get_cells()
    bounding_cell = isea3h_dggs.get_bounding_dggs_cell(bbox_cells)
    bounding_child_cells = get_isea3h_children_cells_within_bbox(
        bounding_cell.get_cell_id(), bounding_box, resolution
    )

    total_cells = len(bounding_child_cells)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, child in enumerate(bounding_child_cells):
        if feedback and feedback.isCanceled():
            return []
        isea3h_cell = DggsCell(child)
        isea3h_id = isea3h_cell.get_cell_id()
        cell_polygon = isea3h2geo(isea3h_id)
        if not check_predicate(cell_polygon, shapely_geom, "intersects"):
            continue
        isea3h2point = isea3h_dggs.convert_dggs_cell_to_point(isea3h_cell)
        cell_accuracy = isea3h2point._accuracy
        cell_resolution = ISEA3H_ACCURACY_RES_DICT.get(cell_accuracy)
        num_edges = 3 if cell_resolution == 0 else 6
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
        # Create a single QGIS feature
        isea3h_feature = QgsFeature()
        isea3h_feature.setGeometry(cell_geometry)

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new S2-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField("isea3h", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("avg_edge_len", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        isea3h_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            isea3h_id,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        isea3h_feature.setAttributes(all_attributes)

        isea3h_features.append(isea3h_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return isea3h_features


def polygon2isea3h(feature, resolution, predicate=None, compact=None, feedback=None):
    isea3h_features = []

    feature_geometry = feature.geometry()
    shapely_geom = wkt_loads(feature_geometry.asWkt())

    # Prepare combined field schema once
    original_attributes = feature.attributes()
    original_fields = feature.fields()
    new_fields = QgsFields()
    new_fields.append(QgsField("isea3h", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()

    # Create a bounding box polygon
    bounding_box = box(min_x, min_y, max_x, max_y)
    bounding_box_wkt = bounding_box.wkt  # Create a bounding box polygon
    accuracy = ISEA3H_RES_ACCURACY_DICT.get(resolution)
    shapes = isea3h_dggs.convert_shape_string_to_dggs_shapes(
        bounding_box_wkt, ShapeStringFormat.WKT, accuracy
    )
    shape = shapes[0]
    # for shape in shapes:
    bbox_cells = shape.get_shape().get_outer_ring().get_cells()
    bounding_cell = isea3h_dggs.get_bounding_dggs_cell(bbox_cells)
    bounding_child_cells = get_isea3h_children_cells_within_bbox(
        bounding_cell.get_cell_id(), bounding_box, resolution
    )

    total_cells = len(bounding_child_cells)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, child in enumerate(bounding_child_cells):
        if feedback and feedback.isCanceled():
            return []
        isea3h_cell = DggsCell(child)
        isea3h_id = isea3h_cell.get_cell_id()
        cell_polygon = isea3h2geo(isea3h_id)
        if not check_predicate(cell_polygon, shapely_geom, predicate):
            continue
        isea3h2point = isea3h_dggs.convert_dggs_cell_to_point(isea3h_cell)
        cell_accuracy = isea3h2point._accuracy
        cell_resolution = ISEA3H_ACCURACY_RES_DICT.get(cell_accuracy)

        num_edges = 3 if cell_resolution == 0 else 6
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
        # Create a single QGIS feature
        isea3h_feature = QgsFeature()
        isea3h_feature.setGeometry(cell_geometry)
        isea3h_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            isea3h_id,
            cell_resolution,
            center_lat,
            center_lon,
            avg_edge_len,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        isea3h_feature.setAttributes(all_attributes)

        isea3h_features.append(isea3h_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    # Compact mode: apply after predicate filtering similar to vector2isea3h
    if compact and isea3h_features:
        cells_to_process = [f["isea3h"] for f in isea3h_features if f["isea3h"]]
        cells_to_process = isea3h_compact(cells_to_process)
        compact_features = []
        total_cells = len(cells_to_process)
        if feedback:
            feedback.pushInfo("Compacting cells")
            feedback.setProgress(0)

        for i, cell_id in enumerate(cells_to_process):
            if feedback and feedback.isCanceled():
                return []

            cell_polygon = isea3h2geo(cell_id)
            isea3h_cell = DggsCell(cell_id)
            isea3h2point = isea3h_dggs.convert_dggs_cell_to_point(isea3h_cell)
            cell_accuracy = isea3h2point._accuracy
            cell_resolution = ISEA3H_ACCURACY_RES_DICT.get(cell_accuracy)
            num_edges = 3 if cell_resolution == 0 else 6
            center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
                geodesic_dggs_metrics(cell_polygon, num_edges)
            )
            cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

            isea3h_feature = QgsFeature()
            isea3h_feature.setGeometry(cell_geometry)
            isea3h_feature.setFields(all_fields)

            new_attributes = [
                cell_id,
                cell_resolution,
                center_lat,
                center_lon,
                avg_edge_len,
                cell_area,
                cell_perimeter,
            ]
            all_attributes = original_attributes + new_attributes
            isea3h_feature.setAttributes(all_attributes)
            compact_features.append(isea3h_feature)

            if feedback and i % 100 == 0 and total_cells:
                feedback.setProgress(int(100 * i / total_cells))

        if feedback:
            feedback.setProgress(100)
        isea3h_features = compact_features

    return isea3h_features


#######################
# QgsFeatures to QTM
#######################


def qgsfeature2qtm(feature, resolution, predicate=None, compact=None, feedback=None):
    resolution = validate_qtm_resolution(resolution)
    geometry = feature.geometry()
    if geometry.wkbType() == QgsWkbTypes.Point:
        return point2qtm(feature, resolution, feedback)
    elif geometry.wkbType() == QgsWkbTypes.LineString:
        return polyline2qtm(feature, resolution, None, None, feedback)
    elif geometry.wkbType() == QgsWkbTypes.Polygon:
        return polygon2qtm(feature, resolution, predicate, compact, feedback)


def point2qtm(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []
    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    qtm_id = latlon2qtm(point.y(), point.x(), resolution)
    cell_polygon = qtm2geo(qtm_id)
    num_edges = 3
    center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
        geodesic_dggs_metrics(cell_polygon, num_edges)
    )
    cell_resolution = resolution
    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

    qtm_feature = QgsFeature()
    qtm_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    # Define new s2-related attributes
    new_fields = QgsFields()
    new_fields.append(QgsField("qtm", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    qtm_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        qtm_id,
        cell_resolution,
        center_lat,
        center_lon,
        avg_edge_len,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    qtm_feature.setAttributes(all_attributes)

    return [qtm_feature]


def qtmcompact_from_qgsfeatures(qgs_features, feedback):
    original_fields = qgs_features[0].fields()

    qtm_ids = [f["qtm"] for f in qgs_features if f["qtm"]]

    qtm_ids_compact = qtm_compact(qtm_ids)
    qtm_features = []
    total_cells = len(qtm_ids_compact)
    if feedback:
        feedback.pushInfo("Compacting cells")
        feedback.setProgress(0)

    for i, qtm_id_compact in enumerate(qtm_ids_compact):
        if feedback and feedback.isCanceled():
            return []
        cell_polygon = qtm2geo(qtm_id_compact)
        cell_resolution = len(qtm_id_compact)
        num_edges = 3
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        qtm_feature = QgsFeature()
        qtm_feature.setFields(original_fields)
        qtm_feature.setGeometry(cell_geometry)

        qtm_feature["qtm"] = qtm_id_compact
        qtm_feature["resolution"] = cell_resolution
        qtm_feature["center_lat"] = center_lat
        qtm_feature["center_lon"] = center_lon
        qtm_feature["avg_edge_len"] = avg_edge_len
        qtm_feature["cell_area"] = cell_area
        qtm_feature["cell_perimeter"] = cell_perimeter
        qtm_features.append(qtm_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return qtm_features


def polyline2qtm(feature, resolution, predicate=None, compact=None, feedback=None):
    qtm_features = []

    feature_geometry = feature.geometry()
    levelFacets = {}
    QTMID = {}

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for lvl in range(resolution):
        levelFacets[lvl] = []
        QTMID[lvl] = []

        if lvl == 0:
            for i, facet in enumerate(QTM_INITIAL_FACETS):
                QTMID[0].append(str(i + 1))
                facet_geom = qtm.constructGeometry(facet)
                num_edges = 3
                center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
                    geodesic_dggs_metrics(facet_geom, num_edges)
                )

                levelFacets[0].append(facet)
                cell_geometry = QgsGeometry.fromWkt(facet_geom.wkt)

                keep = cell_geometry.intersects(feature_geometry)
                if keep and resolution == 1:
                    # Create a single QGIS feature
                    qtm_feature = QgsFeature()
                    qtm_feature.setGeometry(cell_geometry)

                    # Get all attributes from the input feature
                    original_attributes = feature.attributes()
                    original_fields = feature.fields()

                    # Define new S2-related attributes
                    new_fields = QgsFields()
                    new_fields.append(QgsField("qtm", QVariant.String))
                    new_fields.append(QgsField("resolution", QVariant.Int))
                    new_fields.append(QgsField("center_lat", QVariant.Double))
                    new_fields.append(QgsField("center_lon", QVariant.Double))
                    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
                    new_fields.append(QgsField("cell_area", QVariant.Double))
                    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
                    # Combine original fields and new fields
                    all_fields = QgsFields()
                    for field in original_fields:
                        all_fields.append(field)
                    for field in new_fields:
                        all_fields.append(field)

                    qtm_feature.setFields(all_fields)

                    # Combine original attributes with new attributes
                    new_attributes = [
                        QTMID[0][i],
                        resolution,
                        center_lat,
                        center_lon,
                        avg_edge_len,
                        cell_area,
                        cell_perimeter,
                    ]
                    all_attributes = original_attributes + new_attributes

                    qtm_feature.setAttributes(all_attributes)
                    qtm_features.append(qtm_feature)

                    if feedback:
                        feedback.setProgress(100)
                    return qtm_features
        else:
            total_cells = len(levelFacets[lvl - 1])
            for i, pf in enumerate(levelFacets[lvl - 1]):
                if feedback and feedback.isCanceled():
                    return []
                subdivided_facets = qtm.divideFacet(pf)
                for j, subfacet in enumerate(subdivided_facets):
                    subfacet_geom = qtm.constructGeometry(subfacet)
                    cell_geometry = QgsGeometry.fromWkt(subfacet_geom.wkt)
                    keep = cell_geometry.intersects(feature_geometry)
                    if keep:
                        new_id = QTMID[lvl - 1][i] + str(j)
                        QTMID[lvl].append(new_id)
                        levelFacets[lvl].append(subfacet)
                        if lvl == resolution - 1:  # Only store final resolution
                            num_edges = 3
                            (
                                center_lat,
                                center_lon,
                                avg_edge_len,
                                cell_area,
                                cell_perimeter,
                            ) = geodesic_dggs_metrics(subfacet_geom, num_edges)

                            # Create a single QGIS feature
                            qtm_feature = QgsFeature()
                            qtm_feature.setGeometry(cell_geometry)

                            # Get all attributes from the input feature
                            original_attributes = feature.attributes()
                            original_fields = feature.fields()

                            # Define new S2-related attributes
                            new_fields = QgsFields()
                            new_fields.append(QgsField("qtm", QVariant.String))
                            new_fields.append(QgsField("resolution", QVariant.Int))
                            new_fields.append(QgsField("center_lat", QVariant.Double))
                            new_fields.append(QgsField("center_lon", QVariant.Double))
                            new_fields.append(QgsField("avg_edge_len", QVariant.Double))
                            new_fields.append(QgsField("cell_area", QVariant.Double))
                            new_fields.append(
                                QgsField("cell_perimeter", QVariant.Double)
                            )
                            # Combine original fields and new fields
                            all_fields = QgsFields()
                            for field in original_fields:
                                all_fields.append(field)
                            for field in new_fields:
                                all_fields.append(field)

                            qtm_feature.setFields(all_fields)

                            # Combine original attributes with new attributes
                            new_attributes = [
                                new_id,
                                resolution,
                                center_lat,
                                center_lon,
                                avg_edge_len,
                                cell_area,
                                cell_perimeter,
                            ]
                            all_attributes = original_attributes + new_attributes

                            qtm_feature.setAttributes(all_attributes)

                            qtm_features.append(qtm_feature)
                            if feedback and i % 100 == 0:
                                feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        qtm_features = qtmcompact_from_qgsfeatures(qtm_features, feedback)

    return qtm_features


def polygon2qtm(feature, resolution, predicate, compact, feedback):
    qtm_features = []

    feature_geometry = feature.geometry()
    levelFacets = {}
    QTMID = {}

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for lvl in range(resolution):
        levelFacets[lvl] = []
        QTMID[lvl] = []

        if lvl == 0:
            for i, facet in enumerate(QTM_INITIAL_FACETS):
                QTMID[0].append(str(i + 1))
                facet_geom = qtm.constructGeometry(facet)
                num_edges = 3
                center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
                    geodesic_dggs_metrics(facet_geom, num_edges)
                )

                levelFacets[0].append(facet)
                cell_geometry = QgsGeometry.fromWkt(facet_geom.wkt)

                keep = check_predicate(cell_geometry, feature_geometry, predicate)
                if keep and resolution == 1:
                    # Create a single QGIS feature
                    qtm_feature = QgsFeature()
                    qtm_feature.setGeometry(cell_geometry)

                    # Get all attributes from the input feature
                    original_attributes = feature.attributes()
                    original_fields = feature.fields()

                    # Define new S2-related attributes
                    new_fields = QgsFields()
                    new_fields.append(QgsField("qtm", QVariant.String))
                    new_fields.append(QgsField("resolution", QVariant.Int))
                    new_fields.append(QgsField("center_lat", QVariant.Double))
                    new_fields.append(QgsField("center_lon", QVariant.Double))
                    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
                    new_fields.append(QgsField("cell_area", QVariant.Double))
                    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
                    # Combine original fields and new fields
                    all_fields = QgsFields()
                    for field in original_fields:
                        all_fields.append(field)
                    for field in new_fields:
                        all_fields.append(field)

                    qtm_feature.setFields(all_fields)

                    # Combine original attributes with new attributes
                    new_attributes = [
                        QTMID[0][i],
                        resolution,
                        center_lat,
                        center_lon,
                        avg_edge_len,
                        cell_area,
                        cell_perimeter,
                    ]
                    all_attributes = original_attributes + new_attributes

                    qtm_feature.setAttributes(all_attributes)
                    qtm_features.append(qtm_feature)

                    if feedback:
                        feedback.setProgress(100)
                    return qtm_features
        else:
            total_cells = len(levelFacets[lvl - 1])
            for i, pf in enumerate(levelFacets[lvl - 1]):
                if feedback and feedback.isCanceled():
                    return []
                subdivided_facets = qtm.divideFacet(pf)
                for j, subfacet in enumerate(subdivided_facets):
                    subfacet_geom = qtm.constructGeometry(subfacet)
                    cell_geometry = QgsGeometry.fromWkt(subfacet_geom.wkt)

                    keep = check_predicate(cell_geometry, feature_geometry, predicate)
                    if keep:
                        new_id = QTMID[lvl - 1][i] + str(j)
                        QTMID[lvl].append(new_id)
                        levelFacets[lvl].append(subfacet)
                        if lvl == resolution - 1:  # Only store final resolution
                            num_edges = 3
                            (
                                center_lat,
                                center_lon,
                                avg_edge_len,
                                cell_area,
                                cell_perimeter,
                            ) = geodesic_dggs_metrics(subfacet_geom, num_edges)

                            # Create a single QGIS feature
                            qtm_feature = QgsFeature()
                            qtm_feature.setGeometry(cell_geometry)

                            # Get all attributes from the input feature
                            original_attributes = feature.attributes()
                            original_fields = feature.fields()

                            # Define new S2-related attributes
                            new_fields = QgsFields()
                            new_fields.append(QgsField("qtm", QVariant.String))
                            new_fields.append(QgsField("resolution", QVariant.Int))
                            new_fields.append(QgsField("center_lat", QVariant.Double))
                            new_fields.append(QgsField("center_lon", QVariant.Double))
                            new_fields.append(QgsField("avg_edge_len", QVariant.Double))
                            new_fields.append(QgsField("cell_area", QVariant.Double))
                            new_fields.append(
                                QgsField("cell_perimeter", QVariant.Double)
                            )
                            # Combine original fields and new fields
                            all_fields = QgsFields()
                            for field in original_fields:
                                all_fields.append(field)
                            for field in new_fields:
                                all_fields.append(field)

                            qtm_feature.setFields(all_fields)

                            # Combine original attributes with new attributes
                            new_attributes = [
                                new_id,
                                resolution,
                                center_lat,
                                center_lon,
                                avg_edge_len,
                                cell_area,
                                cell_perimeter,
                            ]
                            all_attributes = original_attributes + new_attributes

                            qtm_feature.setAttributes(all_attributes)

                            qtm_features.append(qtm_feature)
                            if feedback and i % 100 == 0:
                                feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        qtm_features = qtmcompact_from_qgsfeatures(qtm_features, feedback)

    return qtm_features


#######################
# QgsFeatures to OLC
#######################
def qgsfeature2olc(feature, resolution, predicate=None, compact=None, feedback=None):
    resolution = validate_olc_resolution(resolution)
    geometry = feature.geometry()
    if geometry.wkbType() == QgsWkbTypes.Point:
        return point2olc(feature, resolution, feedback)
    elif geometry.wkbType() == QgsWkbTypes.LineString:
        return polyline2olc(feature, resolution, None, None, feedback)
    elif geometry.wkbType() == QgsWkbTypes.Polygon:
        return polygon2olc(feature, resolution, predicate, compact, feedback)


def point2olc(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []

    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    olc_id = latlon2olc(point.y(), point.x(), resolution)
    cell_polygon = olc2geo(olc_id)
    # Create the b
    center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
        graticule_dggs_metrics(cell_polygon)
    )

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    new_fields = QgsFields()
    new_fields.append(QgsField("olc", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("cell_width", QVariant.Double))
    new_fields.append(QgsField("cell_height", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
    olc_feature = QgsFeature()
    olc_feature.setGeometry(cell_geometry)
    olc_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        olc_id,
        resolution,
        center_lat,
        center_lon,
        cell_width,
        cell_height,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    olc_feature.setAttributes(all_attributes)

    return [olc_feature]


def olccompact_from_qgsfeatures(qgs_features, feedback):
    original_fields = qgs_features[0].fields()
    olc_ids = [f["olc"] for f in qgs_features if f["olc"]]
    olc_ids_compact = olc_compact(olc_ids)
    olc_features = []

    total_cells = len(olc_ids_compact)
    if feedback:
        feedback.pushInfo("Compacting cells")
        feedback.setProgress(0)

    for i, olc_id_compact in enumerate(olc_ids_compact):
        if feedback and feedback.isCanceled():
            return []
        coord = olc.decode(olc_id_compact)
        min_lat, min_lon = coord.latitudeLo, coord.longitudeLo
        max_lat, max_lon = coord.latitudeHi, coord.longitudeHi
        cell_resolution = coord.codeLength

        # Define the polygon based on the bounding box
        cell_polygon = Polygon(
            [
                [min_lon, min_lat],  # Bottom-left corner
                [max_lon, min_lat],  # Bottom-right corner
                [max_lon, max_lat],  # Top-right corner
                [min_lon, max_lat],  # Top-left corner
                [min_lon, min_lat],  # Closing the polygon (same as the first point)
            ]
        )
        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        olc_feature = QgsFeature()
        olc_feature.setFields(original_fields)
        olc_feature.setGeometry(cell_geometry)

        olc_feature["olc"] = olc_id_compact
        olc_feature["resolution"] = cell_resolution
        olc_feature["center_lat"] = center_lat
        olc_feature["center_lon"] = center_lon
        olc_feature["cell_width"] = cell_width
        olc_feature["cell_height"] = cell_height
        olc_feature["cell_area"] = cell_area
        olc_feature["cell_perimeter"] = cell_perimeter
        olc_features.append(olc_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return olc_features


def generate_olc_grid(resolution):
    """
    Generate a global grid of Open Location Codes (Plus Codes) at the specified precision
    as a GeoJSON-like feature collection.
    """
    # Define the boundaries of the world
    sw_lat, sw_lng = -90, -180
    ne_lat, ne_lng = 90, 180

    # Get the precision step size
    area = olc.decode(olc.encode(sw_lat, sw_lng, resolution))
    lat_step = area.latitudeHi - area.latitudeLo
    lng_step = area.longitudeHi - area.longitudeLo

    olc_features = []

    # Calculate the total number of steps for progress tracking
    total_lat_steps = int((ne_lat - sw_lat) / lat_step)
    total_lng_steps = int((ne_lng - sw_lng) / lng_step)
    total_lat_steps * total_lng_steps

    lat = sw_lat
    while lat < ne_lat:
        lng = sw_lng
        while lng < ne_lng:
            # Generate the Plus Code for the center of the cell
            center_lat = lat + lat_step / 2
            center_lon = lng + lng_step / 2
            olc_id = olc.encode(center_lat, center_lon, resolution)
            cell_polygon = Polygon(
                [
                    [lng, lat],  # SW
                    [lng, lat + lat_step],  # NW
                    [lng + lng_step, lat + lat_step],  # NE
                    [lng + lng_step, lat],  # SE
                    [lng, lat],  # Close the polygon
                ]
            )
            olc_feature = graticule_dggs_to_feature(
                "olc", olc_id, resolution, cell_polygon
            )
            olc_features.append(olc_feature)
            lng += lng_step
        lat += lat_step

    # Return the feature collection
    return {"type": "FeatureCollection", "features": olc_features}


def polyline2olc(feature, resolution, predicate=None, compact=None, feedback=None):
    olc_features = []

    feature_geometry = feature.geometry()
    feature_shapely = wkt_loads(feature_geometry.asWkt())
    fields = QgsFields()
    fields.append(QgsField("resolution", QVariant.Int))
    fields.append(QgsField("olc", QVariant.String))

    base_resolution = 2
    base_cells = generate_olc_grid(base_resolution)

    seed_cells = []
    for base_cell in base_cells["features"]:
        base_cell_poly = Polygon(base_cell["geometry"]["coordinates"][0])
        if base_cell_poly.intersects(feature_shapely):
            seed_cells.append(base_cell)

    refined_features = []
    for seed_cell in seed_cells:
        seed_cell_poly = Polygon(seed_cell["geometry"]["coordinates"][0])

        if seed_cell_poly.contains(feature_shapely) and resolution == base_resolution:
            refined_features.append(seed_cell)
        else:
            # Convert pandas Series objects to dictionary format
            olc_records = olc_refine_cell(
                seed_cell_poly.bounds, base_resolution, resolution, feature_shapely
            )
            for record in olc_records:
                # Convert pandas Series to dictionary format
                if hasattr(record, "to_dict"):
                    record_dict = record.to_dict()
                else:
                    # If it's already a dict-like object, use it as is
                    record_dict = record

                # Ensure the record has the expected structure
                # If geometry is a shapely geometry, convert to GeoJSON mapping for consistency
                if "geometry" in record_dict and hasattr(
                    record_dict["geometry"], "wkt"
                ):
                    from shapely.geometry import mapping

                    record_dict["geometry"] = mapping(record_dict["geometry"])

                refined_features.append(record_dict)

    resolution_features = [
        refine_feature
        for refine_feature in refined_features
        if refine_feature["resolution"] == resolution
    ]

    seen_olc_ids = set()
    total_cells = len(resolution_features)
    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, resolution_feature in enumerate(resolution_features):
        if feedback and feedback.isCanceled():
            return []
        olc_id = resolution_feature["olc"]
        if olc_id not in seen_olc_ids:
            seen_olc_ids.add(olc_id)

            # Normalize geometry to a Shapely Polygon
            geom_obj = resolution_feature.get("geometry")
            try:
                if hasattr(geom_obj, "geom_type"):
                    cell_polygon = geom_obj
                else:
                    from shapely.geometry import shape

                    cell_polygon = shape(geom_obj)
            except Exception:
                # Fallback to previous behavior if it's a plain coordinates array
                cell_polygon = Polygon(resolution_feature["geometry"]["coordinates"][0])
            olc_id = resolution_feature["olc"]
            cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

            # Predicate-based filtering
            if not check_predicate(cell_geometry, feature_geometry, "intersects"):
                continue  # Skip non-matching cells

            # Compute additional attributes
            cell_resolution = resolution
            (
                center_lat,
                center_lon,
                cell_width,
                cell_height,
                cell_area,
                cell_perimeter,
            ) = graticule_dggs_metrics(cell_polygon)

            olc_feature = QgsFeature()
            olc_feature.setGeometry(cell_geometry)

            original_attributes = feature.attributes()
            original_fields = feature.fields()

            new_fields = QgsFields()
            new_fields.append(QgsField("olc", QVariant.String))
            new_fields.append(QgsField("resolution", QVariant.Int))
            new_fields.append(QgsField("center_lat", QVariant.Double))
            new_fields.append(QgsField("center_lon", QVariant.Double))
            new_fields.append(QgsField("cell_width", QVariant.Double))
            new_fields.append(QgsField("cell_height", QVariant.Double))
            new_fields.append(QgsField("cell_area", QVariant.Double))
            new_fields.append(QgsField("cell_perimeter", QVariant.Double))

            # Combine original fields and new fields
            all_fields = QgsFields()
            for field in original_fields:
                all_fields.append(field)
            for field in new_fields:
                all_fields.append(field)

            cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
            olc_feature = QgsFeature()
            olc_feature.setGeometry(cell_geometry)
            olc_feature.setFields(all_fields)

            # Combine original attributes with new attributes
            new_attributes = [
                olc_id,
                cell_resolution,
                center_lat,
                center_lon,
                cell_width,
                cell_height,
                cell_area,
                cell_perimeter,
            ]
            all_attributes = original_attributes + new_attributes

            olc_feature.setAttributes(all_attributes)

            # Create QgsFeature
            olc_features.append(olc_feature)
            if feedback and i % 100 == 0:
                feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        olc_features = olccompact_from_qgsfeatures(olc_features, feedback)

    return olc_features


def polygon2olc(feature, resolution, predicate=None, compact=None, feedback=None):
    olc_features = []

    feature_geometry = feature.geometry()
    feature_shapely = wkt_loads(feature_geometry.asWkt())
    fields = QgsFields()
    fields.append(QgsField("resolution", QVariant.Int))
    fields.append(QgsField("olc", QVariant.String))

    base_resolution = 2
    base_cells = generate_olc_grid(base_resolution)

    seed_cells = []
    for base_cell in base_cells["features"]:
        base_cell_poly = Polygon(base_cell["geometry"]["coordinates"][0])
        if base_cell_poly.intersects(feature_shapely):
            seed_cells.append(base_cell)

    refined_features = []
    for seed_cell in seed_cells:
        seed_cell_poly = Polygon(seed_cell["geometry"]["coordinates"][0])

        if seed_cell_poly.contains(feature_shapely) and resolution == base_resolution:
            refined_features.append(seed_cell)
        else:
            # Convert pandas Series objects to dictionary format
            olc_records = olc_refine_cell(
                seed_cell_poly.bounds, base_resolution, resolution, feature_shapely
            )
            for record in olc_records:
                # Convert pandas Series to dictionary format
                if hasattr(record, "to_dict"):
                    record_dict = record.to_dict()
                else:
                    # If it's already a dict-like object, use it as is
                    record_dict = record

                # Ensure the record has the expected structure
                # If geometry is a shapely geometry, convert to GeoJSON mapping for consistency
                if "geometry" in record_dict and hasattr(
                    record_dict["geometry"], "wkt"
                ):
                    from shapely.geometry import mapping

                    record_dict["geometry"] = mapping(record_dict["geometry"])

                refined_features.append(record_dict)

    resolution_features = [
        refine_feature
        for refine_feature in refined_features
        if refine_feature["resolution"] == resolution
    ]

    seen_olc_ids = set()
    total_cells = len(resolution_features)
    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, resolution_feature in enumerate(resolution_features):
        if feedback and feedback.isCanceled():
            return []
        olc_id = resolution_feature["olc"]
        if olc_id not in seen_olc_ids:
            seen_olc_ids.add(olc_id)

            # Normalize geometry to a Shapely Polygon
            geom_obj = resolution_feature.get("geometry")
            try:
                if hasattr(geom_obj, "geom_type"):
                    cell_polygon = geom_obj
                else:
                    from shapely.geometry import shape

                    cell_polygon = shape(geom_obj)
            except Exception:
                # Fallback to previous behavior if it's a plain coordinates array
                cell_polygon = Polygon(resolution_feature["geometry"]["coordinates"][0])
            olc_id = resolution_feature["olc"]
            cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

            if not check_predicate(cell_geometry, feature_geometry, predicate):
                continue  # Skip non-matching cells

            # Compute additional attributes
            cell_resolution = resolution
            (
                center_lat,
                center_lon,
                cell_width,
                cell_height,
                cell_area,
                cell_perimeter,
            ) = graticule_dggs_metrics(cell_polygon)

            olc_feature = QgsFeature()
            olc_feature.setGeometry(cell_geometry)

            original_attributes = feature.attributes()
            original_fields = feature.fields()

            new_fields = QgsFields()
            new_fields.append(QgsField("olc", QVariant.String))
            new_fields.append(QgsField("resolution", QVariant.Int))
            new_fields.append(QgsField("center_lat", QVariant.Double))
            new_fields.append(QgsField("center_lon", QVariant.Double))
            new_fields.append(QgsField("cell_width", QVariant.Double))
            new_fields.append(QgsField("cell_height", QVariant.Double))
            new_fields.append(QgsField("cell_area", QVariant.Double))
            new_fields.append(QgsField("cell_perimeter", QVariant.Double))

            # Combine original fields and new fields
            all_fields = QgsFields()
            for field in original_fields:
                all_fields.append(field)
            for field in new_fields:
                all_fields.append(field)

            cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
            olc_feature = QgsFeature()
            olc_feature.setGeometry(cell_geometry)
            olc_feature.setFields(all_fields)

            # Combine original attributes with new attributes
            new_attributes = [
                olc_id,
                cell_resolution,
                center_lat,
                center_lon,
                cell_width,
                cell_height,
                cell_area,
                cell_perimeter,
            ]
            all_attributes = original_attributes + new_attributes

            olc_feature.setAttributes(all_attributes)

            # Create QgsFeature
            olc_features.append(olc_feature)
            if feedback and i % 100 == 0:
                feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        olc_features = olccompact_from_qgsfeatures(olc_features, feedback)

    return olc_features


#######################
# QgsFeatures to Geohash
#######################
def qgsfeature2geohash(
    feature, resolution, predicate=None, compact=None, feedback=None
):
    resolution = validate_geohash_resolution(resolution)
    geometry = feature.geometry()
    if geometry.wkbType() == QgsWkbTypes.Point:
        return point2geohash(feature, resolution, feedback)
    elif geometry.wkbType() == QgsWkbTypes.LineString:
        return polyline2geohash(feature, resolution, None, None, feedback)
    elif geometry.wkbType() == QgsWkbTypes.Polygon:
        return polygon2geohash(feature, resolution, predicate, compact, feedback)


def point2geohash(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []

    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    geohash_id = latlon2geohash(point.y(), point.x(), resolution)
    cell_polygon = geohash2geo(geohash_id)
    center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
        graticule_dggs_metrics(cell_polygon)
    )

    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
    # Create a single QGIS feature
    geohash_feature = QgsFeature()
    geohash_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    new_fields = QgsFields()
    new_fields.append(QgsField("geohash", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("cell_width", QVariant.Double))
    new_fields.append(QgsField("cell_height", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    geohash_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        geohash_id,
        resolution,
        center_lat,
        center_lon,
        cell_width,
        cell_height,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    geohash_feature.setAttributes(all_attributes)

    return [geohash_feature]


def geohashcompact_from_qgsfeatures(qgs_features, feedback):
    original_fields = qgs_features[0].fields()

    geohash_ids = [f["geohash"] for f in qgs_features if f["geohash"]]

    geohash_ids_compact = geohash_compact(geohash_ids)
    geohash_features = []

    total_cells = len(geohash_ids_compact)
    if feedback:
        feedback.pushInfo("Compacting cells")
        feedback.setProgress(0)

    for i, geohash_id_compact in enumerate(geohash_ids_compact):
        if feedback and feedback.isCanceled():
            return []
        cell_polygon = geohash2geo(geohash_id_compact)
        cell_resolution = len(geohash_id_compact)

        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        geohash_feature = QgsFeature()
        geohash_feature.setFields(original_fields)
        geohash_feature.setGeometry(cell_geometry)

        geohash_feature["geohash"] = geohash_id_compact
        geohash_feature["resolution"] = cell_resolution
        geohash_feature["center_lat"] = center_lat
        geohash_feature["center_lon"] = center_lon
        geohash_feature["cell_width"] = cell_width
        geohash_feature["cell_height"] = cell_height
        geohash_feature["cell_area"] = cell_area
        geohash_feature["cell_perimeter"] = cell_perimeter
        geohash_features.append(geohash_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return geohash_features


def polyline2geohash(feature, resolution, predicate=None, compact=None, feedback=None):
    geohash_features = []
    feature_geometry = feature.geometry()
    feature_shapely = wkt_loads(feature_geometry.asWkt())

    intersected_geohashes = {
        gh for gh in INITIAL_GEOHASHES if geohash2geo(gh).intersects(feature_shapely)
    }
    # Expand geohash bounding box

    geohashes = set()
    for gh in intersected_geohashes:
        expand_geohash_bbox(gh, resolution, geohashes, feature_shapely)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    total_cells = len(geohashes)

    # Step 4: Generate features for geohashes that intersect the bounding box
    for i, gh in enumerate(geohashes):
        if feedback and feedback.isCanceled():
            return []

        cell_polygon = geohash2geo(gh)
        # if cell_polygon.intersects(feature):
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
        # Predicate-based filtering
        if not check_predicate(cell_geometry, feature_geometry, "intersects"):
            continue

        # Create a single QGIS feature
        geohash_feature = QgsFeature()
        geohash_feature.setGeometry(cell_geometry)

        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )
        cell_resolution = resolution

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        new_fields = QgsFields()
        new_fields.append(QgsField("geohash", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("cell_width", QVariant.Double))
        new_fields.append(QgsField("cell_height", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        geohash_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            gh,
            cell_resolution,
            center_lat,
            center_lon,
            cell_width,
            cell_height,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        geohash_feature.setAttributes(all_attributes)

        geohash_features.append(geohash_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        geohash_features = geohashcompact_from_qgsfeatures(geohash_features, feedback)

    return geohash_features


def polygon2geohash(feature, resolution, predicate=None, compact=None, feedback=None):
    geohash_features = []
    feature_geometry = feature.geometry()
    feature_shapely = wkt_loads(feature_geometry.asWkt())

    intersected_geohashes = {
        gh for gh in INITIAL_GEOHASHES if geohash2geo(gh).intersects(feature_shapely)
    }
    # Expand geohash bounding box

    geohashes = set()
    for gh in intersected_geohashes:
        expand_geohash_bbox(gh, resolution, geohashes, feature_shapely)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    total_cells = len(geohashes)

    # Step 4: Generate features for geohashes that intersect the bounding box
    for i, gh in enumerate(geohashes):
        if feedback and feedback.isCanceled():
            return []

        cell_polygon = geohash2geo(gh)
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
        # Predicate-based filtering
        if not check_predicate(cell_geometry, feature_geometry, predicate):
            continue

        # Create a single QGIS feature
        geohash_feature = QgsFeature()
        geohash_feature.setGeometry(cell_geometry)

        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )
        cell_resolution = resolution

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        new_fields = QgsFields()
        new_fields.append(QgsField("geohash", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("cell_width", QVariant.Double))
        new_fields.append(QgsField("cell_height", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        geohash_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            gh,
            cell_resolution,
            center_lat,
            center_lon,
            cell_width,
            cell_height,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        geohash_feature.setAttributes(all_attributes)

        geohash_features.append(geohash_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        geohash_features = geohashcompact_from_qgsfeatures(geohash_features, feedback)

    return geohash_features


#######################
# QgsFeatures to Tilecode
#######################
def qgsfeature2tilecode(
    feature, resolution, predicate=None, compact=None, feedback=None
):
    resolution = validate_tilecode_resolution(resolution)
    geometry = feature.geometry()
    if geometry.wkbType() == QgsWkbTypes.Point:
        return point2tilecode(feature, resolution, feedback)
    elif geometry.wkbType() == QgsWkbTypes.LineString:
        return polyline2tilecode(feature, resolution, None, None, feedback)
    elif geometry.wkbType() == QgsWkbTypes.Polygon:
        return polygon2tilecode(feature, resolution, predicate, compact, feedback)


def point2tilecode(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []

    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    tilecode_id = latlon2tilecode(point.y(), point.x(), resolution)
    tilecode_cell = mercantile.tile(point.x(), point.y(), resolution)
    resolution = tilecode_cell.z
    cell_polygon = tilecode2geo(tilecode_id)
    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
    center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
        graticule_dggs_metrics(cell_polygon)
    )

    # Create a single QGIS feature
    tilecode_feature = QgsFeature()
    tilecode_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    # Define new s2-related attributes
    new_fields = QgsFields()
    new_fields.append(QgsField("tilecode", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("cell_width", QVariant.Double))
    new_fields.append(QgsField("cell_width", QVariant.Double))
    new_fields.append(QgsField("cell_height", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    tilecode_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        tilecode_id,
        resolution,
        center_lat,
        center_lon,
        cell_width,
        cell_height,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    tilecode_feature.setAttributes(all_attributes)

    return [tilecode_feature]


def tilecodecompact_from_qgsfeatures(qgs_features, feedback):
    original_fields = qgs_features[0].fields()

    tilecode_ids = [f["tilecode"] for f in qgs_features if f["tilecode"]]

    tilecode_ids_compact = tilecode_compact(tilecode_ids)
    tilecode_features = []
    total_cells = len(tilecode_ids_compact)

    if feedback:
        feedback.pushInfo("Compacting cells")
        feedback.setProgress(0)

    for i, tilecode_id_compact in enumerate(tilecode_ids_compact):
        if feedback and feedback.isCanceled():
            return []

        match = re.match(r"z(\d+)x(\d+)y(\d+)", tilecode_id_compact)
        if not match:
            raise ValueError("Invalid tilecode format. Expected format: 'zXxYyZ'")

        # Convert matched groups to integers
        z = int(match.group(1))
        x = int(match.group(2))
        y = int(match.group(3))

        # Get the bounds of the tile in (west, south, east, north)
        bounds = mercantile.bounds(x, y, z)
        # Create the bounding box coordinates for the polygon
        min_lat, min_lon = bounds.south, bounds.west
        max_lat, max_lon = bounds.north, bounds.east
        cell_polygon = Polygon(
            [
                [min_lon, min_lat],  # Bottom-left corner
                [max_lon, min_lat],  # Bottom-right corner
                [max_lon, max_lat],  # Top-right corner
                [min_lon, max_lat],  # Top-left corner
                [min_lon, min_lat],  # Closing the polygon (same as the first point)
            ]
        )

        cell_resolution = z

        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        tilecode_feature = QgsFeature()
        tilecode_feature.setFields(original_fields)
        tilecode_feature.setGeometry(cell_geometry)

        tilecode_feature["tilecode"] = tilecode_id_compact
        tilecode_feature["resolution"] = cell_resolution
        tilecode_feature["center_lat"] = center_lat
        tilecode_feature["center_lon"] = center_lon
        tilecode_feature["cell_width"] = cell_width
        tilecode_feature["cell_height"] = cell_height
        tilecode_feature["cell_area"] = cell_area
        tilecode_feature["cell_perimeter"] = cell_perimeter
        tilecode_features.append(tilecode_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return tilecode_features


def polyline2tilecode(feature, resolution, predicate=None, compact=None, feedback=None):
    tilecode_features = []
    feature_geometry = feature.geometry()
    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()

    tiles = list(mercantile.tiles(min_x, min_y, max_x, max_y, resolution))
    total_cells = len(tiles)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, tile in enumerate(tiles):
        if feedback and feedback.isCanceled():
            return []
        z, x, y = tile.z, tile.x, tile.y
        tilecode_id = f"z{tile.z}x{tile.x}y{tile.y}"
        bounds = mercantile.bounds(x, y, z)
        # Create the bounding box coordinates for the polygon
        min_lat, min_lon = bounds.south, bounds.west
        max_lat, max_lon = bounds.north, bounds.east

        cell_polygon = Polygon(
            [
                [min_lon, min_lat],  # Bottom-left corner
                [max_lon, min_lat],  # Bottom-right corner
                [max_lon, max_lat],  # Top-right corner
                [min_lon, max_lat],  # Top-left corner
                [min_lon, min_lat],  # Closing the polygon (same as the first point)
            ]
        )

        # if cell_polygon.intersects(feature):
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
        if not check_predicate(cell_geometry, feature_geometry, "intersects"):
            continue

        # Create a single QGIS feature
        tilecode_feature = QgsFeature()
        tilecode_feature.setGeometry(cell_geometry)

        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )
        resolution = tile.z

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new H3-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField("tilecode", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("cell_width", QVariant.Double))
        new_fields.append(QgsField("cell_height", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        tilecode_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            tilecode_id,
            resolution,
            center_lat,
            center_lon,
            cell_width,
            cell_height,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        tilecode_feature.setAttributes(all_attributes)

        tilecode_features.append(tilecode_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        tilecode_features = tilecodecompact_from_qgsfeatures(
            tilecode_features, feedback
        )

    return tilecode_features


def polygon2tilecode(feature, resolution, predicate=None, compact=None, feedback=None):
    tilecode_features = []
    feature_geometry = feature.geometry()
    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()

    tiles = list(mercantile.tiles(min_x, min_y, max_x, max_y, resolution))
    total_cells = len(tiles)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, tile in enumerate(tiles):
        if feedback and feedback.isCanceled():
            return []
        z, x, y = tile.z, tile.x, tile.y
        tilecode_id = f"z{tile.z}x{tile.x}y{tile.y}"
        bounds = mercantile.bounds(x, y, z)
        # Create the bounding box coordinates for the polygon
        min_lat, min_lon = bounds.south, bounds.west
        max_lat, max_lon = bounds.north, bounds.east

        cell_polygon = Polygon(
            [
                [min_lon, min_lat],  # Bottom-left corner
                [max_lon, min_lat],  # Bottom-right corner
                [max_lon, max_lat],  # Top-right corner
                [min_lon, max_lat],  # Top-left corner
                [min_lon, min_lat],  # Closing the polygon (same as the first point)
            ]
        )

        # if cell_polygon.intersects(feature):
        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
        if not check_predicate(cell_geometry, feature_geometry, predicate):
            continue

        # Create a single QGIS feature
        tilecode_feature = QgsFeature()
        tilecode_feature.setGeometry(cell_geometry)

        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )
        resolution = tile.z

        # Get all attributes from the input feature
        original_attributes = feature.attributes()
        original_fields = feature.fields()

        # Define new H3-related attributes
        new_fields = QgsFields()
        new_fields.append(QgsField("tilecode", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("cell_width", QVariant.Double))
        new_fields.append(QgsField("cell_height", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        # Combine original fields and new fields
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        tilecode_feature.setFields(all_fields)

        # Combine original attributes with new attributes
        new_attributes = [
            tilecode_id,
            resolution,
            center_lat,
            center_lon,
            cell_width,
            cell_height,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        tilecode_feature.setAttributes(all_attributes)

        tilecode_features.append(tilecode_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        tilecode_features = tilecodecompact_from_qgsfeatures(
            tilecode_features, feedback
        )

    return tilecode_features


#######################
# QgsFeatures to Quadkey
#######################
def qgsfeature2quadkey(
    feature, resolution, predicate=None, compact=None, feedback=None
):
    resolution = validate_quadkey_resolution(resolution)
    geometry = feature.geometry()
    if geometry.wkbType() == QgsWkbTypes.Point:
        return point2quadkey(feature, resolution, feedback)
    elif geometry.wkbType() == QgsWkbTypes.LineString:
        return polyline2quadkey(feature, resolution, None, None, feedback)
    elif geometry.wkbType() == QgsWkbTypes.Polygon:
        return polygon2quadkey(feature, resolution, predicate, compact, feedback)


def point2quadkey(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []

    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    quadkey_id = latlon2quadkey(point.y(), point.x(), resolution)
    quadkey_cell = mercantile.tile(point.x(), point.y(), resolution)
    cell_resolution = quadkey_cell.z
    cell_polygon = quadkey2geo(quadkey_id)
    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
    center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
        graticule_dggs_metrics(cell_polygon)
    )

    # Create a single QGIS feature
    quadkey_feature = QgsFeature()
    quadkey_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    # Define new s2-related attributes
    new_fields = QgsFields()
    new_fields.append(QgsField("quadkey", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("cell_width", QVariant.Double))
    new_fields.append(QgsField("cell_height", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    quadkey_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        quadkey_id,
        cell_resolution,
        center_lat,
        center_lon,
        cell_width,
        cell_height,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    quadkey_feature.setAttributes(all_attributes)

    return [quadkey_feature]


def quadkeycompact_from_qgsfeatures(qgs_features, feedback):
    original_fields = qgs_features[0].fields()

    quadkey_ids = [f["quadkey"] for f in qgs_features if f["quadkey"]]

    quadkey_ids_compact = quadkey_compact(quadkey_ids)
    quadkey_features = []

    total_cells = len(quadkey_ids_compact)
    if feedback:
        feedback.pushInfo("Compacting cells")
        feedback.setProgress(0)

    for i, quadkey_id_compact in enumerate(quadkey_ids_compact):
        if feedback and feedback.isCanceled():
            return []
        quadkey_id_compact_tile = mercantile.quadkey_to_tile(quadkey_id_compact)
        # Convert matched groups to integers
        z = quadkey_id_compact_tile.z
        x = quadkey_id_compact_tile.x
        y = quadkey_id_compact_tile.y

        # Get the bounds of the tile in (west, south, east, north)
        bounds = mercantile.bounds(x, y, z)
        # Create the bounding box coordinates for the polygon
        min_lat, min_lon = bounds.south, bounds.west
        max_lat, max_lon = bounds.north, bounds.east
        cell_polygon = Polygon(
            [
                [min_lon, min_lat],  # Bottom-left corner
                [max_lon, min_lat],  # Bottom-right corner
                [max_lon, max_lat],  # Top-right corner
                [min_lon, max_lat],  # Top-left corner
                [min_lon, min_lat],  # Closing the polygon (same as the first point)
            ]
        )

        cell_resolution = z

        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        quadkey_feature = QgsFeature()
        quadkey_feature.setFields(original_fields)
        quadkey_feature.setGeometry(cell_geometry)

        quadkey_feature["quadkey"] = quadkey_id_compact
        quadkey_feature["resolution"] = cell_resolution
        quadkey_feature["center_lat"] = center_lat
        quadkey_feature["center_lon"] = center_lon
        quadkey_feature["cell_width"] = cell_width
        quadkey_feature["cell_height"] = cell_height
        quadkey_feature["cell_area"] = cell_area
        quadkey_feature["cell_perimeter"] = cell_perimeter
        quadkey_features.append(quadkey_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return quadkey_features


def polyline2quadkey(feature, resolution, predicate=None, compact=None, feedback=None):
    quadkey_features = []
    feature_geometry = feature.geometry()
    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()

    tiles = list(mercantile.tiles(min_x, min_y, max_x, max_y, resolution))
    total_cells = len(tiles)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, tile in enumerate(tiles):
        if feedback and feedback.isCanceled():
            return []
        z, x, y = tile.z, tile.x, tile.y
        quadkey_id = mercantile.quadkey(tile)
        bounds = mercantile.bounds(x, y, z)
        # Create the bounding box coordinates for the polygon
        min_lat, min_lon = bounds.south, bounds.west
        max_lat, max_lon = bounds.north, bounds.east

        cell_polygon = Polygon(
            [
                [min_lon, min_lat],  # Bottom-left corner
                [max_lon, min_lat],  # Bottom-right corner
                [max_lon, max_lat],  # Top-right corner
                [min_lon, max_lat],  # Top-left corner
                [min_lon, min_lat],  # Closing the polygon (same as the first point)
            ]
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
        # Predicate-based filtering
        if not check_predicate(cell_geometry, feature_geometry, "intersects"):
            continue

        quadkey_feature = QgsFeature()
        quadkey_feature.setGeometry(cell_geometry)

        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )
        cell_resolution = tile.z

        original_attributes = feature.attributes()
        original_fields = feature.fields()

        new_fields = QgsFields()
        new_fields.append(QgsField("quadkey", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("cell_width", QVariant.Double))
        new_fields.append(QgsField("cell_height", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))
        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        quadkey_feature.setFields(all_fields)

        new_attributes = [
            quadkey_id,
            cell_resolution,
            center_lat,
            center_lon,
            cell_width,
            cell_height,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        quadkey_feature.setAttributes(all_attributes)

        quadkey_features.append(quadkey_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        quadkey_features = quadkeycompact_from_qgsfeatures(quadkey_features, feedback)

    return quadkey_features


def polygon2quadkey(feature, resolution, predicate=None, compact=None, feedback=None):
    quadkey_features = []
    feature_geometry = feature.geometry()
    feature_rect = feature_geometry.boundingBox()
    min_x = feature_rect.xMinimum()
    min_y = feature_rect.yMinimum()
    max_x = feature_rect.xMaximum()
    max_y = feature_rect.yMaximum()

    tiles = list(mercantile.tiles(min_x, min_y, max_x, max_y, resolution))
    total_cells = len(tiles)

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    for i, tile in enumerate(tiles):
        if feedback and feedback.isCanceled():
            return []
        z, x, y = tile.z, tile.x, tile.y
        quadkey_id = mercantile.quadkey(tile)
        bounds = mercantile.bounds(x, y, z)
        # Create the bounding box coordinates for the polygon
        min_lat, min_lon = bounds.south, bounds.west
        max_lat, max_lon = bounds.north, bounds.east

        cell_polygon = Polygon(
            [
                [min_lon, min_lat],  # Bottom-left corner
                [max_lon, min_lat],  # Bottom-right corner
                [max_lon, max_lat],  # Top-right corner
                [min_lon, max_lat],  # Top-left corner
                [min_lon, min_lat],  # Closing the polygon (same as the first point)
            ]
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
        # Predicate-based filtering
        if not check_predicate(cell_geometry, feature_geometry, predicate):
            continue

        quadkey_feature = QgsFeature()
        quadkey_feature.setGeometry(cell_geometry)

        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )
        cell_resolution = tile.z

        original_attributes = feature.attributes()
        original_fields = feature.fields()

        new_fields = QgsFields()
        new_fields.append(QgsField("quadkey", QVariant.String))
        new_fields.append(QgsField("resolution", QVariant.Int))
        new_fields.append(QgsField("center_lat", QVariant.Double))
        new_fields.append(QgsField("center_lon", QVariant.Double))
        new_fields.append(QgsField("cell_width", QVariant.Double))
        new_fields.append(QgsField("cell_height", QVariant.Double))
        new_fields.append(QgsField("cell_area", QVariant.Double))
        new_fields.append(QgsField("cell_perimeter", QVariant.Double))

        all_fields = QgsFields()
        for field in original_fields:
            all_fields.append(field)
        for field in new_fields:
            all_fields.append(field)

        quadkey_feature.setFields(all_fields)

        new_attributes = [
            quadkey_id,
            cell_resolution,
            center_lat,
            center_lon,
            cell_width,
            cell_height,
            cell_area,
            cell_perimeter,
        ]
        all_attributes = original_attributes + new_attributes

        quadkey_feature.setAttributes(all_attributes)

        quadkey_features.append(quadkey_feature)

        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        quadkey_features = quadkeycompact_from_qgsfeatures(quadkey_features, feedback)

    return quadkey_features


#######################
# QgsFeatures to DIGIPIN
#######################


def qgsfeature2digipin(
    feature, resolution, predicate=None, compact=None, feedback=None
):
    resolution = validate_digipin_resolution(resolution)
    geometry = feature.geometry()
    if geometry.wkbType() == QgsWkbTypes.Point:
        return point2digipin(feature, resolution, feedback)
    elif geometry.wkbType() == QgsWkbTypes.LineString:
        return polyline2digipin(feature, resolution, None, None, feedback)
    elif geometry.wkbType() == QgsWkbTypes.Polygon:
        return polygon2digipin(feature, resolution, predicate, compact, feedback)


def point2digipin(feature, resolution, feedback):
    if feedback and feedback.isCanceled():
        return []

    feature_geometry = feature.geometry()
    point = feature_geometry.asPoint()
    digipin_id = latlon2digipin(point.y(), point.x(), resolution)
    cell_polygon = digipin2geo(digipin_id)
    cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)
    center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
        graticule_dggs_metrics(cell_polygon)
    )

    # Create a single QGIS feature
    digipin_feature = QgsFeature()
    digipin_feature.setGeometry(cell_geometry)

    # Get all attributes from the input feature
    original_attributes = feature.attributes()
    original_fields = feature.fields()

    # Define new digipin-related attributes
    new_fields = QgsFields()
    new_fields.append(QgsField("digipin", QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("cell_width", QVariant.Double))
    new_fields.append(QgsField("cell_height", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))
    # Combine original fields and new fields
    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    digipin_feature.setFields(all_fields)

    # Combine original attributes with new attributes
    new_attributes = [
        digipin_id,
        resolution,
        center_lat,
        center_lon,
        cell_width,
        cell_height,
        cell_area,
        cell_perimeter,
    ]
    all_attributes = original_attributes + new_attributes

    digipin_feature.setAttributes(all_attributes)

    return [digipin_feature]


def digipincompact_from_qgsfeatures(qgs_features, feedback):
    original_fields = qgs_features[0].fields()

    digipin_ids = [f["digipin"] for f in qgs_features if f["digipin"]]

    digipin_ids_compact = digipin_compact(digipin_ids)
    digipin_features = []

    total_cells = len(digipin_ids_compact)
    if feedback:
        feedback.pushInfo("Compacting cells")
        feedback.setProgress(0)

    for i, digipin_id_compact in enumerate(digipin_ids_compact):
        if feedback and feedback.isCanceled():
            return []

        cell_polygon = digipin2geo(digipin_id_compact)
        clean_id = digipin_id_compact.replace("-", "")
        cell_resolution = len(clean_id)

        center_lat, center_lon, cell_width, cell_height, cell_area, cell_perimeter = (
            graticule_dggs_metrics(cell_polygon)
        )

        cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

        digipin_feature = QgsFeature()
        digipin_feature.setFields(original_fields)
        digipin_feature.setGeometry(cell_geometry)

        digipin_feature["digipin"] = digipin_id_compact
        digipin_feature["resolution"] = cell_resolution
        digipin_feature["center_lat"] = center_lat
        digipin_feature["center_lon"] = center_lon
        digipin_feature["cell_width"] = cell_width
        digipin_feature["cell_height"] = cell_height
        digipin_feature["cell_area"] = cell_area
        digipin_feature["cell_perimeter"] = cell_perimeter
        digipin_features.append(digipin_feature)
        if feedback and i % 100 == 0:
            feedback.setProgress(int(100 * i / total_cells))

    if feedback:
        feedback.setProgress(100)

    return digipin_features


def polyline2digipin(feature, resolution, predicate=None, compact=None, feedback=None):
    digipin_features = []
    feature_geometry = feature.geometry()
    feature_rect = feature_geometry.boundingBox()
    min_lon = feature_rect.xMinimum()
    min_lat = feature_rect.yMinimum()
    max_lon = feature_rect.xMaximum()
    max_lat = feature_rect.yMaximum()

    # Constrain to DIGIPIN bounds (India region)
    min_lat = max(min_lat, BOUNDS["minLat"])
    min_lon = max(min_lon, BOUNDS["minLon"])
    max_lat = min(max_lat, BOUNDS["maxLat"])
    max_lon = min(max_lon, BOUNDS["maxLon"])

    # Calculate sampling density based on resolution (following digipingrid.py approach)
    # Each level divides the cell by 4 (2x2 grid)
    base_width = 9.0  # degrees at resolution 1
    factor = 0.25 ** (resolution - 1)  # each level divides by 4
    sample_width = base_width * factor

    seen_cells = set()

    # Calculate approximate number of cells for progress tracking
    lat_range = max_lat - min_lat
    lon_range = max_lon - min_lon
    estimated_cells = int((lat_range * lon_range) / (sample_width * sample_width))

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    cell_count = 0

    # Sample points across the bounding box
    lon = min_lon
    while lon <= max_lon:
        lat = min_lat
        while lat <= max_lat:
            if feedback and feedback.isCanceled():
                return []
            # Get DIGIPIN code for this point at the specified resolution
            digipin_id = latlon2digipin(lat, lon, resolution)

            if digipin_id == "Out of Bound":
                lat += sample_width
                continue

            if digipin_id in seen_cells:
                lat += sample_width
                continue

            seen_cells.add(digipin_id)

            # Get the bounds for this DIGIPIN cell
            cell_polygon = digipin2geo(digipin_id)

            if isinstance(cell_polygon, str):  # Error like 'Invalid DIGIPIN'
                lat += sample_width
                continue

            # Convert to QgsGeometry for intersection check
            cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

            # Check if cell intersects with polyline
            if cell_geometry.intersects(feature_geometry):
                digipin_feature = QgsFeature()
                digipin_feature.setGeometry(cell_geometry)

                (
                    center_lat,
                    center_lon,
                    cell_width,
                    cell_height,
                    cell_area,
                    cell_perimeter,
                ) = graticule_dggs_metrics(cell_polygon)

                original_attributes = feature.attributes()
                original_fields = feature.fields()

                new_fields = QgsFields()
                new_fields.append(QgsField("digipin", QVariant.String))
                new_fields.append(QgsField("resolution", QVariant.Int))
                new_fields.append(QgsField("center_lat", QVariant.Double))
                new_fields.append(QgsField("center_lon", QVariant.Double))
                new_fields.append(QgsField("cell_width", QVariant.Double))
                new_fields.append(QgsField("cell_height", QVariant.Double))
                new_fields.append(QgsField("cell_area", QVariant.Double))
                new_fields.append(QgsField("cell_perimeter", QVariant.Double))
                all_fields = QgsFields()
                for field in original_fields:
                    all_fields.append(field)
                for field in new_fields:
                    all_fields.append(field)

                digipin_feature.setFields(all_fields)

                new_attributes = [
                    digipin_id,
                    resolution,
                    center_lat,
                    center_lon,
                    cell_width,
                    cell_height,
                    cell_area,
                    cell_perimeter,
                ]
                all_attributes = original_attributes + new_attributes

                digipin_feature.setAttributes(all_attributes)

                digipin_features.append(digipin_feature)
                cell_count += 1

            lat += sample_width
            if feedback and cell_count % 100 == 0:
                feedback.setProgress(int(100 * cell_count / estimated_cells))
        lon += sample_width

    if feedback:
        feedback.setProgress(100)

    if compact:
        digipin_features = digipincompact_from_qgsfeatures(digipin_features, feedback)

    return digipin_features


def polygon2digipin(feature, resolution, predicate=None, compact=None, feedback=None):
    digipin_features = []
    feature_geometry = feature.geometry()
    feature_rect = feature_geometry.boundingBox()
    min_lon = feature_rect.xMinimum()
    min_lat = feature_rect.yMinimum()
    max_lon = feature_rect.xMaximum()
    max_lat = feature_rect.yMaximum()

    # Constrain to DIGIPIN bounds (India region)
    min_lat = max(min_lat, BOUNDS["minLat"])
    min_lon = max(min_lon, BOUNDS["minLon"])
    max_lat = min(max_lat, BOUNDS["maxLat"])
    max_lon = min(max_lon, BOUNDS["maxLon"])

    # Calculate sampling density based on resolution (following digipingrid.py approach)
    # Each level divides the cell by 4 (2x2 grid)
    base_width = 9.0  # degrees at resolution 1
    factor = 0.25 ** (resolution - 1)  # each level divides by 4
    sample_width = base_width * factor

    seen_cells = set()

    # Calculate approximate number of cells for progress tracking
    lat_range = max_lat - min_lat
    lon_range = max_lon - min_lon
    estimated_cells = int((lat_range * lon_range) / (sample_width * sample_width))

    if feedback:
        feedback.pushInfo(f"Processing feature {feature.id()}")
        feedback.setProgress(0)

    cell_count = 0

    # Sample points across the bounding box
    lon = min_lon
    while lon <= max_lon:
        lat = min_lat
        while lat <= max_lat:
            if feedback and feedback.isCanceled():
                return []
            # Get DIGIPIN code for this point at the specified resolution
            digipin_id = latlon2digipin(lat, lon, resolution)

            if digipin_id == "Out of Bound":
                lat += sample_width
                continue

            if digipin_id in seen_cells:
                lat += sample_width
                continue

            seen_cells.add(digipin_id)

            # Get the bounds for this DIGIPIN cell
            cell_polygon = digipin2geo(digipin_id)

            if isinstance(cell_polygon, str):  # Error like 'Invalid DIGIPIN'
                lat += sample_width
                continue
            # Convert to QgsGeometry for intersection check
            cell_geometry = QgsGeometry.fromWkt(cell_polygon.wkt)

            # Predicate-based filtering
            if not check_predicate(cell_geometry, feature_geometry, predicate):
                lat += sample_width
                continue

            digipin_feature = QgsFeature()
            digipin_feature.setGeometry(cell_geometry)

            (
                center_lat,
                center_lon,
                cell_width,
                cell_height,
                cell_area,
                cell_perimeter,
            ) = graticule_dggs_metrics(cell_polygon)

            original_attributes = feature.attributes()
            original_fields = feature.fields()

            new_fields = QgsFields()
            new_fields.append(QgsField("digipin", QVariant.String))
            new_fields.append(QgsField("resolution", QVariant.Int))
            new_fields.append(QgsField("center_lat", QVariant.Double))
            new_fields.append(QgsField("center_lon", QVariant.Double))
            new_fields.append(QgsField("cell_width", QVariant.Double))
            new_fields.append(QgsField("cell_height", QVariant.Double))
            new_fields.append(QgsField("cell_area", QVariant.Double))
            new_fields.append(QgsField("cell_perimeter", QVariant.Double))

            all_fields = QgsFields()
            for field in original_fields:
                all_fields.append(field)
            for field in new_fields:
                all_fields.append(field)

            digipin_feature.setFields(all_fields)

            new_attributes = [
                digipin_id,
                resolution,
                center_lat,
                center_lon,
                cell_width,
                cell_height,
                cell_area,
                cell_perimeter,
            ]
            all_attributes = original_attributes + new_attributes

            digipin_feature.setAttributes(all_attributes)

            digipin_features.append(digipin_feature)
            cell_count += 1

            lat += sample_width
        lon += sample_width

        if feedback and cell_count % 100 == 0:
            feedback.setProgress(int(100 * cell_count / estimated_cells))

    if feedback:
        feedback.setProgress(100)

    if compact:
        digipin_features = digipincompact_from_qgsfeatures(digipin_features, feedback)

    return digipin_features


#######################
# QgsFeatures to DGGRID
#######################


def _dggrid_cell_id(row, field_name):
    for col in (field_name, "seqnum", "global_id", "name"):
        if col in row.index:
            val = row[col]
            if val is not None:
                return str(val)
    return None


def _dggrid_gdf_to_qgs_features(gdf, field_name, resolution, input_feature, feedback):
    if gdf is None or gdf.empty:
        return []

    original_attributes = input_feature.attributes()
    original_fields = input_feature.fields()

    new_fields = QgsFields()
    new_fields.append(QgsField(field_name, QVariant.String))
    new_fields.append(QgsField("resolution", QVariant.Int))
    new_fields.append(QgsField("center_lat", QVariant.Double))
    new_fields.append(QgsField("center_lon", QVariant.Double))
    new_fields.append(QgsField("avg_edge_len", QVariant.Double))
    new_fields.append(QgsField("cell_area", QVariant.Double))
    new_fields.append(QgsField("cell_perimeter", QVariant.Double))

    all_fields = QgsFields()
    for field in original_fields:
        all_fields.append(field)
    for field in new_fields:
        all_fields.append(field)

    dggrid_features = []
    total = len(gdf)

    if feedback:
        feedback.pushInfo(f"Processing feature {input_feature.id()}")
        feedback.setProgress(0)

    for idx, row in gdf.iterrows():
        if feedback and feedback.isCanceled():
            return []

        cell_polygon = row.geometry
        if cell_polygon is None or cell_polygon.is_empty:
            continue

        cell_id = _dggrid_cell_id(row, field_name)
        if cell_id is None:
            continue

        num_edges = (
            len(cell_polygon.exterior.coords) - 1
            if hasattr(cell_polygon, "exterior")
            else 4
        )
        center_lat, center_lon, avg_edge_len, cell_area, cell_perimeter = (
            geodesic_dggs_metrics(cell_polygon, num_edges)
        )

        dggrid_feature = QgsFeature()
        dggrid_feature.setGeometry(QgsGeometry.fromWkt(cell_polygon.wkt))
        dggrid_feature.setFields(all_fields)
        dggrid_feature.setAttributes(
            original_attributes
            + [
                cell_id,
                resolution,
                center_lat,
                center_lon,
                avg_edge_len,
                cell_area,
                cell_perimeter,
            ]
        )
        dggrid_features.append(dggrid_feature)

        if feedback and total and idx % 100 == 0:
            feedback.setProgress(int(100 * idx / total))

    if feedback:
        feedback.setProgress(100)

    return dggrid_features


def qgsfeature2dggrid(
    dggs_type, feature, resolution, predicate=None, compact=None, feedback=None
):
    resolution = validate_dggrid_resolution(dggs_type, resolution)
    dggrid_instance = get_plugin_dggrid_instance()
    dggrid_options = build_dggrid_options(settings.dggridDensificationSpinBox)
    field_name = f"dggrid_{dggs_type.lower()}"

    geometry = feature.geometry()
    shapely_geom = wkt_loads(geometry.asWkt())

    if geometry.wkbType() not in (
        QgsWkbTypes.Point,
        QgsWkbTypes.LineString,
        QgsWkbTypes.Polygon,
    ):
        return []

    gdf = vector_geom_to_dggrid_gdf_qgis(
        dggrid_instance,
        dggs_type,
        shapely_geom,
        resolution,
        predicate=predicate,
        output_address_type="SEQNUM",
        options=dggrid_options,
    )

    return _dggrid_gdf_to_qgs_features(gdf, field_name, resolution, feature, feedback)
