refactor

geospatial-data-converter/kml_tricks.py

@@ -15,7 +15,6 @@ def parse_description_to_gdf(gdf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
                 html_df = pd.read_html(StringIO(desc), flavor="lxml")
                 yield html_df[-1].T
             except (lxml.etree.ParserError, lxml.etree.XMLSyntaxError) as e:
-                print(desc)
                 raise pd.errors.ParserError from e
 
     parsed_dataframes = list(_gen())

geospatial-data-converter/kml_tricks_refactor.py

@@ -0,0 +1,171 @@
+import zipfile
+from io import StringIO
+
+import bs4
+import fiona
+import geopandas as gpd
+import lxml  # nosec
+import pandas as pd
+
+fiona.drvsupport.supported_drivers["KML"] = "rw"
+
+
+def parse_descriptions_to_geodf(geodf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
+    """Parses Descriptions from Google Earth file to a GeoDataFrame object"""
+
+    dataframes = []
+
+    # Iterate over descriptions and extract data
+    for desc in geodf["Description"]:
+        desc_as_io = StringIO(desc)
+
+        # Try to read the description into a DataFrame
+        parsed_html = pd.read_html(desc_as_io)
+        try:
+            temp_df = parsed_html[1].T
+        except IndexError:
+            temp_df = parsed_html[0].T
+
+        # Set DataFrame header and remove the first row
+        temp_df.columns = temp_df.iloc[0]
+        temp_df = temp_df.iloc[1:]
+
+        dataframes.append(temp_df)
+
+    # Combine all DataFrames
+    combined_df = pd.concat(dataframes, ignore_index=True)
+
+    # Add geometry data
+    combined_df["geometry"] = geodf["geometry"]
+
+    # Create a GeoDataFrame with the combined data and original CRS
+    result_geodf = gpd.GeoDataFrame(combined_df, crs=geodf.crs)
+
+    return result_geodf
+
+
+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"""
+
+    # Open the KMZ file
+    with zipfile.ZipFile(file_path, "r") as kmz:
+        # List all KML files in the KMZ
+        kml_files = [file for file in kmz.namelist() if file.endswith(".kml")]
+
+    # Ensure there's only one KML file in the KMZ
+    if len(kml_files) != 1:
+        raise IndexError(
+            "KMZ contains more than one KML. Please extract or convert to multiple KMLs.",
+        )
+
+    # Read the KML file into a GeoDataFrame
+    geodf = gpd.read_file(f"zip://{file_path}/{kml_files[0]}", driver="KML")
+
+    return geodf
+
+
+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"))
+    elif file_path.endswith(".kmz"):
+        return parse_descriptions_to_geodf(load_kmz_as_geodf(file_path))
+    raise ValueError("The file must have a .kml or .kmz extension.")
+
+
+def extract_data_from_kml_code(kml_code: str) -> pd.DataFrame:
+    """Extracts data from KML code into a DataFrame using SimpleData tags, excluding embedded tables in feature descriptions"""
+
+    # Parse the KML source code
+    soup = bs4.BeautifulSoup(kml_code, "html.parser")
+
+    # Find all SchemaData tags (representing rows)
+    schema_data_tags = soup.find_all("schemadata")
+
+    # Create a generator that yields a dictionary for each row, containing the Placemark name and each SimpleData field
+    row_dicts = (
+        {
+            "Placemark_name": tag.parent.parent.find("name").text,
+            **{field.get("name"): field.text for field in tag.find_all("simpledata")},
+        }
+        for tag in schema_data_tags
+    )
+
+    # Convert the row dictionaries into a DataFrame
+    df = pd.DataFrame(row_dicts)
+
+    return df
+
+
+def extract_kml_code_from_file(file_path: str) -> str:
+    """Extracts KML source code from a Google Earth file (KML or KMZ)"""
+
+    file_extension = file_path.lower().split(".")[-1]
+
+    if file_extension == "kml":
+        with open(file_path, "r") as kml_file:
+            kml_code = kml_file.read()
+    elif file_extension == "kmz":
+        with zipfile.ZipFile(file_path) as kmz_file:
+            # Find all KML files in the KMZ
+            kml_files = [
+                file for file in kmz_file.namelist() if file.lower().endswith(".kml")
+            ]
+
+            if len(kml_files) != 1:
+                raise IndexError(
+                    "KMZ file contains more than one KML. Please extract or convert to multiple KMLs.",
+                )
+
+            with kmz_file.open(kml_files[0]) as kml_file:
+                # Decode the KML file's content from bytes to string
+                kml_code = kml_file.read().decode()
+    else:
+        raise ValueError("The input file must have a .kml or .kmz extension.")
+
+    return kml_code
+
+
+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"):
+        ge_file_gdf = load_kmz_as_geodf(file_path)
+    else:
+        ge_file_gdf = gpd.read_file(file_path, driver="KML")
+
+    geo_df = gpd.GeoDataFrame(
+        data_df,
+        geometry=ge_file_gdf["geometry"],
+        crs=ge_file_gdf.crs,
+    )
+
+    return geo_df
+
+
+def load_ge_data(file_path: str) -> pd.DataFrame:
+    """Extracts data from a Google Earth file (KML or KMZ) and handles errors due to parsing issues"""
+
+    kml_code = extract_kml_code_from_file(file_path)
+
+    # Choose the extraction method based on the presence of SimpleData or SimpleField tags in the KML code
+    primary_func, fallback_func = (
+        (extract_data_from_ge_file, load_ge_file)
+        if any(tag in kml_code.lower() for tag in ("<simpledata", "<simplefield"))
+        else (load_ge_file, extract_data_from_ge_file)
+    )
+
+    try:
+        data_df = primary_func(file_path)
+    except (
+        pd.errors.ParserError,
+        lxml.etree.ParserError,
+        lxml.etree.XMLSyntaxError,
+        ValueError,
+    ):
+        data_df = fallback_func(file_path)
+
+    return data_df

geospatial-data-converter/utils.py

@@ -7,7 +7,8 @@ from typing import BinaryIO
 import geopandas as gpd
 
 # from kml_tricks import read_ge_file
-from kml_tricks_before import readge as read_ge_file
+# from kml_tricks_before import readge as read_ge_file
+from kml_tricks_refactor import load_ge_data as read_ge_file
 
 output_format_dict = {
     "ESRI Shapefile": ("shp", "zip", "application/zip"),  # must be zipped