fixed reversed lon/lat with KML uploads

geospatial-data-converter/kml_tricks.py

@@ -5,6 +5,15 @@ import bs4
 import geopandas as gpd
 import lxml # nosec
 import pandas as pd
+from shapely.geometry import (
+ Point,
+ LineString,
+ Polygon,
+ MultiPoint,
+ MultiLineString,
+ MultiPolygon,
+ LinearRing,
+)
 
 
 def parse_descriptions_to_geodf(geodf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
@@ -41,6 +50,48 @@ def parse_descriptions_to_geodf(geodf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
  return result_geodf
 
 
+def swap_coordinates(geometry):
+ """
+ Swap the latitude and longitude of Shapely Point, LineString, Polygon,
+ MultiPoint, MultiLineString, MultiPolygon, or LinearRing geometry.
+
+ Parameters:
+ - geometry: Shapely geometry (Point, LineString, Polygon, MultiPoint,
+ MultiLineString, MultiPolygon, or LinearRing)
+
+ Returns:
+ - Shapely geometry with swapped coordinates
+ """
+
+ def swap_coords(coords):
+ return [(coord[1], coord[0]) for coord in coords]
+
+ if isinstance(geometry, Point):
+ return Point([geometry.y, geometry.x])
+ elif isinstance(geometry, MultiPoint):
+ return MultiPoint(
+ [Point(swap_coords(point.coords)) for point in geometry.geoms],
+ )
+ elif isinstance(geometry, LineString):
+ return LineString(swap_coords(geometry.coords))
+ elif isinstance(geometry, MultiLineString):
+ return MultiLineString(
+ [LineString(swap_coords(line.coords)) for line in geometry.geoms],
+ )
+ elif isinstance(geometry, Polygon):
+ exterior_coords = swap_coords(geometry.exterior.coords)
+ interior_coords = [
+ swap_coords(interior.coords) for interior in geometry.interiors
+ ]
+ return Polygon(exterior_coords, interior_coords)
+ elif isinstance(geometry, MultiPolygon):
+ return MultiPolygon([swap_coordinates(poly) for poly in geometry.geoms])
+ elif isinstance(geometry, LinearRing):
+ return LinearRing(swap_coords(geometry.coords))
+ else:
+ raise ValueError("Unsupported geometry type")
+
+
 def load_kmz_as_geodf(file_path: str) -> gpd.GeoDataFrame:
  """Loads a KMZ file into a GeoPandas DataFrame, assuming the KMZ contains one KML file"""
 
@@ -67,7 +118,6 @@ def load_kmz_as_geodf(file_path: str) -> gpd.GeoDataFrame:
 
 def load_ge_file(file_path: str) -> gpd.GeoDataFrame:
  """Loads a KML or KMZ file and parses its descriptions into a GeoDataFrame"""
-
  if file_path.endswith(".kml"):
  return parse_descriptions_to_geodf(
  gpd.read_file(file_path, driver="KML", engine="pyogrio"),
@@ -134,7 +184,6 @@ def extract_kml_code_from_file(file_path: str) -> str:
 
 def extract_data_from_ge_file(file_path: str) -> gpd.GeoDataFrame:
  """Extracts data from a Google Earth file (KML or KMZ) into a GeoDataFrame using SimpleData tags, excluding embedded tables in feature descriptions"""
-
  data_df = extract_data_from_kml_code(extract_kml_code_from_file(file_path))
 
  if file_path.endswith(".kmz"):
@@ -147,7 +196,7 @@ def extract_data_from_ge_file(file_path: str) -> gpd.GeoDataFrame:
  geometry=ge_file_gdf["geometry"],
  crs=ge_file_gdf.crs,
  )
-
+ geo_df["geometry"] = geo_df["geometry"].apply(swap_coordinates)
  return geo_df
 
 

geospatial-data-converter/utils.py

@@ -3,7 +3,6 @@ import os
 import zipfile
 from tempfile import TemporaryDirectory
 from typing import BinaryIO
-
 import geopandas as gpd
 
 from kml_tricks import load_ge_data
@@ -65,6 +64,9 @@ def convert(gdf: gpd.GeoDataFrame, output_name: str, output_format: str) -> byte
  if output_format == "CSV":
  gdf.to_csv(out_path)
  else:
+ # if output_format == 'KML': # need to longitude and latitude columns
+ # # gdf = gdf.apply(lambda row: swap_coordinates(row), axis=1)
+ # gdf['geometry'] = gdf['geometry'].apply(swap_coordinates)
  gdf.to_file(out_path, driver=output_format, engine="pyogrio")
 
  if output_format in ("ESRI Shapefile", "OpenFileGDB"):