DDC_Skills_for_AI_Agents_in_Construction standards-compliance-checker
Check data compliance with construction standards. Validate data against ISO 19650, IFC, COBie, UniFormat standards.
install
source · Clone the upstream repo
git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction "$T" && mkdir -p ~/.claude/skills && cp -r "$T/2_DDC_Book/2.5-Data-Modeling-Standards/standards-compliance-checker" ~/.claude/skills/datadrivenconstruction-ddc-skills-for-ai-agents-in-construction-standards-compli && rm -rf "$T"
manifest:
2_DDC_Book/2.5-Data-Modeling-Standards/standards-compliance-checker/SKILL.mdsource content
Standards Compliance Checker
Business Case
Problem Statement
Construction data compliance challenges:
- Multiple standards to meet
- Complex validation rules
- Inconsistent implementations
- Manual checking is error-prone
Solution
Automated compliance checking against major construction data standards including ISO 19650, IFC, COBie, and UniFormat.
Technical Implementation
from typing import Dict, Any, List, Optional from dataclasses import dataclass, field from enum import Enum import re class Standard(Enum): ISO_19650 = "iso_19650" IFC = "ifc" COBIE = "cobie" UNIFORMAT = "uniformat" OMNICLASS = "omniclass" MASTERFORMAT = "masterformat" class ComplianceLevel(Enum): COMPLIANT = "compliant" MINOR_ISSUES = "minor_issues" MAJOR_ISSUES = "major_issues" NON_COMPLIANT = "non_compliant" @dataclass class ComplianceIssue: rule_id: str rule_name: str severity: str # error, warning, info message: str field: str = "" value: Any = None @dataclass class ComplianceReport: standard: Standard total_rules: int passed: int failed: int warnings: int compliance_level: ComplianceLevel issues: List[ComplianceIssue] = field(default_factory=list) class StandardsComplianceChecker: """Check compliance with construction data standards.""" def __init__(self): self.rules: Dict[Standard, List[Dict]] = self._load_rules() def _load_rules(self) -> Dict[Standard, List[Dict]]: """Load compliance rules for each standard.""" return { Standard.ISO_19650: [ {"id": "ISO-001", "name": "File naming convention", "field": "filename", "pattern": r"^[A-Z]{2,6}-[A-Z]{2,4}-[A-Z]{2,3}-[A-Z0-9]{2,4}-[A-Z]{2,3}-[A-Z]{2,4}-[A-Z0-9]{3,8}$"}, {"id": "ISO-002", "name": "Status code valid", "field": "status", "values": ["WIP", "S0", "S1", "S2", "S3", "S4", "A", "B", "CR"]}, {"id": "ISO-003", "name": "Revision format", "field": "revision", "pattern": r"^P[0-9]{2}|C[0-9]{2}$"}, ], Standard.IFC: [ {"id": "IFC-001", "name": "GUID format", "field": "global_id", "pattern": r"^[0-9A-Za-z_$]{22}$"}, {"id": "IFC-002", "name": "Name required", "field": "name", "required": True}, {"id": "IFC-003", "name": "ObjectType defined", "field": "object_type", "required": True}, ], Standard.COBIE: [ {"id": "COB-001", "name": "Facility name", "field": "facility_name", "required": True}, {"id": "COB-002", "name": "Space name format", "field": "space_name", "pattern": r"^[A-Z0-9]{2,10}[-_]?[A-Z0-9]{0,10}$"}, {"id": "COB-003", "name": "Component type", "field": "component_type", "required": True}, {"id": "COB-004", "name": "Manufacturer info", "field": "manufacturer", "required": True}, ], Standard.UNIFORMAT: [ {"id": "UNI-001", "name": "Level 1 code", "field": "level1", "values": ["A", "B", "C", "D", "E", "F", "G", "Z"]}, {"id": "UNI-002", "name": "Code format", "field": "code", "pattern": r"^[A-G][0-9]{4}$"}, ], Standard.MASTERFORMAT: [ {"id": "MF-001", "name": "Division format", "field": "division", "pattern": r"^[0-9]{2}$"}, {"id": "MF-002", "name": "Section format", "field": "section", "pattern": r"^[0-9]{2}\s?[0-9]{2}\s?[0-9]{2}(\.[0-9]{2})?$"}, ] } def check_compliance(self, data: Dict[str, Any], standard: Standard) -> ComplianceReport: """Check data against specified standard.""" rules = self.rules.get(standard, []) issues = [] passed = 0 failed = 0 warnings = 0 for rule in rules: result = self._check_rule(data, rule) if result: issues.append(result) if result.severity == "error": failed += 1 else: warnings += 1 else: passed += 1 # Determine compliance level if failed == 0 and warnings == 0: level = ComplianceLevel.COMPLIANT elif failed == 0: level = ComplianceLevel.MINOR_ISSUES elif failed <= len(rules) * 0.3: level = ComplianceLevel.MAJOR_ISSUES else: level = ComplianceLevel.NON_COMPLIANT return ComplianceReport( standard=standard, total_rules=len(rules), passed=passed, failed=failed, warnings=warnings, compliance_level=level, issues=issues ) def _check_rule(self, data: Dict[str, Any], rule: Dict) -> Optional[ComplianceIssue]: """Check single compliance rule.""" field = rule.get('field', '') value = data.get(field) # Required check if rule.get('required') and (value is None or value == ''): return ComplianceIssue( rule_id=rule['id'], rule_name=rule['name'], severity="error", message=f"Required field '{field}' is missing", field=field ) # Skip other checks if value is empty if value is None or value == '': return None # Pattern check if 'pattern' in rule: if not re.match(rule['pattern'], str(value)): return ComplianceIssue( rule_id=rule['id'], rule_name=rule['name'], severity="error", message=f"Field '{field}' does not match required format", field=field, value=value ) # Allowed values check if 'values' in rule: if value not in rule['values']: return ComplianceIssue( rule_id=rule['id'], rule_name=rule['name'], severity="error", message=f"Field '{field}' must be one of: {rule['values']}", field=field, value=value ) return None def check_multiple_standards(self, data: Dict[str, Any], standards: List[Standard]) -> Dict[str, ComplianceReport]: """Check data against multiple standards.""" reports = {} for standard in standards: reports[standard.value] = self.check_compliance(data, standard) return reports def check_batch(self, records: List[Dict[str, Any]], standard: Standard) -> Dict[str, Any]: """Check multiple records against standard.""" all_issues = [] compliant_count = 0 for i, record in enumerate(records): report = self.check_compliance(record, standard) if report.compliance_level == ComplianceLevel.COMPLIANT: compliant_count += 1 for issue in report.issues: all_issues.append({ 'record_index': i, 'rule_id': issue.rule_id, 'field': issue.field, 'message': issue.message }) return { 'standard': standard.value, 'total_records': len(records), 'compliant_records': compliant_count, 'compliance_rate': round(compliant_count / len(records) * 100, 1) if records else 0, 'total_issues': len(all_issues), 'issues': all_issues } def add_custom_rule(self, standard: Standard, rule: Dict): """Add custom compliance rule.""" if standard not in self.rules: self.rules[standard] = [] self.rules[standard].append(rule) def generate_report_summary(self, report: ComplianceReport) -> str: """Generate human-readable report summary.""" lines = [ f"Compliance Report: {report.standard.value.upper()}", "=" * 40, f"Total Rules: {report.total_rules}", f"Passed: {report.passed}", f"Failed: {report.failed}", f"Warnings: {report.warnings}", f"Status: {report.compliance_level.value.upper()}", "", "Issues:" ] for issue in report.issues: lines.append(f" [{issue.severity.upper()}] {issue.rule_id}: {issue.message}") return "\n".join(lines)
Quick Start
# Initialize checker checker = StandardsComplianceChecker() # Check ISO 19650 compliance data = { "filename": "PRJ-ARC-MOD-0001-DWG-PLAN-001", "status": "S3", "revision": "P01" } report = checker.check_compliance(data, Standard.ISO_19650) print(f"Compliance: {report.compliance_level.value}") print(f"Passed: {report.passed}/{report.total_rules}")
Common Use Cases
1. COBie Validation
cobie_data = { "facility_name": "Building A", "space_name": "OFFICE-101", "component_type": "HVAC_Unit", "manufacturer": "Carrier" } report = checker.check_compliance(cobie_data, Standard.COBIE)
2. Batch Validation
records = [{"filename": "...", "status": "..."}, ...] batch_report = checker.check_batch(records, Standard.ISO_19650) print(f"Compliance rate: {batch_report['compliance_rate']}%")
3. Multiple Standards
reports = checker.check_multiple_standards( data, [Standard.ISO_19650, Standard.IFC] )
Resources
- DDC Book: Chapter 2.5 - Data Models and Standards
- ISO 19650: Information management using BIM
- Website: https://datadrivenconstruction.io