stock-data-skill
OpenClaw Skill for stock data analysis
Read and parse XML from construction systems - P6 schedules, BSDD exports, IFC-XML, COBie-XML. Convert to pandas DataFrames.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install datadrivenconstruction/xml-readerExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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.
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...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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,
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