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xml-reader

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

datadrivenconstruction0 source installs☆ 0 Repository stars

Installation

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skillhub install datadrivenconstruction/xml-reader

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View source ↗Guides

Skill instructions

XML Reader for Construction Data

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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/datadrivenconstruction/xml-reader
Version
—
Commit
5b6b9eb59b71de8efa2c2834930a140f950c60f1
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# XML Reader for Construction Data

## 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

```python
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...

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