Dwf To Kmz -

import os import zipfile from xml.etree import ElementTree as ET import shutil import tempfile from lxml import etree import json

def _is_xml_dwf(path): with open(path, 'rb') as f: return b'<?xml' in f.read(100) dwf to kmz

def dwf_to_kmz(input_dwf, output_kmz): """ Convert DWF to KMZ by extracting geometry and creating KML. If input is binary DWF, it first converts to DWFX (XML) using ODA converter. """ temp_dir = tempfile.mkdtemp() kml_path = os.path.join(temp_dir, "doc.kml") # Step 1: Handle DWF format if input_dwf.endswith('.dwfx') or _is_xml_dwf(input_dwf): # Already XML-based DWFX root = ET.parse(input_dwf).getroot() geometries = _extract_geometries_from_dwfx(root) else: # Binary DWF – need external converter print("Binary DWF detected. Using ODA File Converter (must be installed).") dwfx_path = os.path.join(temp_dir, "converted.dwfx") _convert_binary_dwf_to_dwfx(input_dwf, dwfx_path) root = ET.parse(dwfx_path).getroot() geometries = _extract_geometries_from_dwfx(root) # Step 2: Create KML kml_root = _create_kml(geometries) with open(kml_path, 'w', encoding='utf-8') as f: f.write(etree.tostring(kml_root, pretty_print=True).decode()) # Step 3: Package into KMZ (ZIP with .kml and optional Collada files) with zipfile.ZipFile(output_kmz, 'w', zipfile.ZIP_DEFLATED) as kmz: kmz.write(kml_path, "doc.kml") # If any 3D models were saved as .dae, add them here for dae_file in geometries.get('collada_files', []): kmz.write(dae_file, os.path.basename(dae_file)) shutil.rmtree(temp_dir) print(f"Converted {input_dwf} -> {output_kmz}") import os import zipfile from xml

""" DWF to KMZ Converter Requires: pip install ezdxf pycollada lxml For DWF parsing: pip install ODAFileConverter (optional, see note) """ Using ODA File Converter (must be installed)