def _is_xml_dwf(path): with open(path, 'rb') as f: return b'<?xml' in f.read(100)
def _extract_geometries_from_dwfx(root): """ Parse DWFX XML structure. Simplified: extract vertices of 2D/3D polylines, polygons. Real implementation would handle GraphicsNode, Geometry, and VertexArray. """ ns = {'dwf': 'http://www.autodesk.com/schemas/dwf/2007/1'} geometries = { 'points': [], 'lines': [], 'polygons': [], 'collada_files': [] } # Search for GraphicsNode -> Geometry -> VertexArray for geom in root.findall('.//dwf:Geometry', ns): vertices = [] varr = geom.find('.//dwf:VertexArray', ns) if varr is not None: # VertexArray format: "x1 y1 z1 x2 y2 z2 ..." data = varr.text.strip().split() if len(data) % 3 == 0: for i in range(0, len(data), 3): vertices.append(( float(data[i]), float(data[i+1]), float(data[i+2]) if i+2 < len(data) else 0 )) # Add as line strip or polygon (simplified) if len(vertices) > 1: geometries['lines'].append(vertices) return geometries dwf to kmz
""" DWF to KMZ Converter Requires: pip install ezdxf pycollada lxml For DWF parsing: pip install ODAFileConverter (optional, see note) """ def _is_xml_dwf(path): with open(path, 'rb') as f: return
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}") """ ns = {'dwf': 'http://www