Read and parse XML from construction systems - P6 schedules, BSDD exports, IFC-XML, COBie-XML. Convert to pandas DataFrames.

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: claw.json, instructions.md, SKILL.md

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 2.1.0

Provenance

Publisher: datadrivenconstruction
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

Overview

XML is used in construction for P6 schedules (XER), IFC-XML, COBie-XML, and buildingSMART Data Dictionary exports. This skill parses XML and converts to structured DataFrames.

Python Implementation

import xml.etree.ElementTree as ET import pandas as pd from typing import Dict, Any, List, Optional, Union from dataclasses import dataclass from pathlib import Path import re @dataclass class XMLElement: """Parsed XML element.""" tag: str attributes: Dict[str, str] text: Optional[str] children: List['XMLElement'] class ConstructionXMLReader: """Parse XML from construction systems.""" def __init__(self): self.namespaces: Dict[str, str] = {} def parse_file(self, file_path: str) -> ET.Element: """Parse XML file and return root element.""" tree = ET.parse(file_path) root = tree.getroot() # Extract namespaces self._extract_namespaces(root) return root def parse_string(self, xml_string: str) -> ET.Element: """Parse XML from string.""" root = ET.fromstring(xml_string) self._extract_namespaces(root) return root def _extract_namespaces(self, root: ET.Element): """Extract namespace mappings.""" # Find namespace declarations for attr, value in root.attrib.items(): if attr.startswith('{'): ns = attr[1:attr.index('}')] self.namespaces[root.tag.split('}')[0][1:]] = ns def find_elements(self, root: ET.Element, tag: str, namespace: str = None) -> List[ET.Element]: """Find all elements with given tag.""" if namespace: tag = f"{{{namespace}}}{tag}" return root.findall(f".//{tag}") def element_to_dict(self, element: ET.Element, include_children: bool = True) -> Dict[str, Any]: """Convert element to dictionary.""" result = { '_tag': element.tag.split('}')[-1] if '}' in element.tag else element.tag, '_text': element.text.strip() if element.text else None, **element.attrib } if include_children: for child in element: child_tag = child.tag.split('}')[-1] if '}' in child.tag else child.tag if child_tag in result: # Multiple children with same tag - make list if not isinstance(result[child_tag], list): result[child_tag] = [result[child_tag]] result[child_tag].append(self.element_to_dict(child)) else: result[child_tag] = self.element_to_dict(child) return result def elements_to_dataframe(self, elements: List[ET.Element]) -> pd.DataFrame: """Convert list of elements to DataFrame.""" records = [] for elem in elements: record = {'_tag': elem.tag.split('}')[-1]} record.update(elem.attrib) # Get direct text content if elem.text and elem.text.strip(): record['_text'] = elem.text.strip() # Get child values for child in elem: child_tag = child.tag.split('}')[-1] if child.text and child.text.strip(): record[child_tag] = child.text.strip() # Also get child attributes for attr, val in child.attrib.items(): record[f"{child_tag}_{attr}"] = val records.append(record) return pd.DataFrame(records) def flatten_xml(self, root: ET.Element, target_tag: str = None) -> pd.DataFrame: """Flatten XML to DataFrame.""" if target_tag: elements = self.find_elements(root, target_tag) else: elements = list(root) return self.elements_to_dataframe(elements) class P6XMLReader(ConstructionXMLReader): """Reader for Primavera P6 XML exports.""" def parse_activities(self, root: ET.Element) -> pd.DataFrame: """Parse activities from P6 XML.""" activities = self.find_elements(root, 'Activity') return self.elements_to_dataframe(activities) def parse_resources(self, root: ET.Element) -> pd.DataFrame: """Parse resources from P6 XML.""" resources = self.find_elements(root, 'Resource') return self.elements_to_dataframe(resources) def parse_wbs(self, root: ET.Element) -> pd.DataFrame: """Parse WBS from P6 XML.""" wbs = self.find_elements(root, 'WBS') return self.elements_to_dataframe(wbs) def parse_full_schedule(self, file_path: str) -> Dict[str, pd.DataFrame]: """Parse complete P6 schedule.""" root = self.parse_file(file_path) return { 'activities': self.parse_activities(root), 'resources': self.parse_resources(root), 'wbs': self.parse_wbs(root) } class IFCXMLReader(ConstructionXMLReader): """Reader for IFC-XML files.""" def parse_entities(self, root: ET.Element) -> pd.DataFrame: """Parse IFC entities.""" # Find all Ifc* elements all_entities = [] for elem in root.iter(): if elem.tag.startswith('Ifc'): all_entities.append(elem) return self.elements_to_dataframe(all_entities) def get_entity_types(self, root: ET.Element) -> Dict[str, int]: """Count entity types.""" counts = {} for elem in root.iter(): tag = elem.tag if tag.startswith('Ifc'): counts[tag] = counts.get(tag, 0) + 1 return counts class COBieXMLReader(ConstructionXMLReader): """Reader for COBie XML files.""" COBIE_SHEETS = ['Facility', 'Floor', 'Space', 'Zone', 'Type', 'Component', 'System', 'Assembly', 'Connection', 'Spare', 'Resource', 'Job', 'Document', 'Attribute'] def parse_cobie(self, file_path: str) -> Dict[str, pd.DataFrame]: """Parse all COBie sheets.""" root = self.parse_file(file_path) result = {} for sheet in self.COBIE_SHEETS: elements = self.find_elements(root, sheet) if elements: result[sheet] = self.elements_to_dataframe(elements) return result class BSDDXMLReader(ConstructionXMLReader): """Reader for buildingSMART Data Dictionary exports.""" def parse_classifications(self, root: ET.Element) -> pd.DataFrame: """Parse classification items.""" items = self.find_elements(root, 'Classification') return self.elements_to_dataframe(items) def parse_properties(self, root: ET.Element) -> pd.DataFrame: """Parse property definitions.""" props = self.find_elements(root, 'Property') return self.elements_to_dataframe(props)

Quick Start

reader = ConstructionXMLReader() # Parse XML file root = reader.parse_file("schedule.xml") # Find specific elements activities = reader.find_elements(root, "Activity") print(f"Found {len(activities)} activities") # Convert to DataFrame df = reader.elements_to_dataframe(activities)

1. P6 Schedule Import

p6_reader = P6XMLReader() schedule = p6_reader.parse_full_schedule("p6_export.xml") activities = schedule['activities'] print(f"Activities: {len(activities)}")

2. COBie Data

cobie_reader = COBieXMLReader() cobie_data = cobie_reader.parse_cobie("facility_cobie.xml") components = cobie_data.get('Component', pd.DataFrame())

3. IFC-XML Analysis

ifc_reader = IFCXMLReader() root = ifc_reader.parse_file("model.ifcxml") # Count entity types types = ifc_reader.get_entity_types(root) for entity_type, count in sorted(types.items(), key=lambda x: -x[1])[:10]: print(f"{entity_type}: {count}")

Resources

DDC Book: Chapter 2.1 - Semi-structured Data IFC-XML: buildingSMART specification

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs1 Config

SKILL.md Primary doc
instructions.md Docs
claw.json Config