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Check data compliance with construction standards. Validate data against ISO 19650, IFC, COBie, UniFormat standards.
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skillhub install datadrivenconstruction/standards-compliance-checkerInspect the source and compatibility requirements, then follow its installation steps.
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Construction data compliance challenges:
Automated compliance checking against major construction data standards including ISO 19650, IFC, COBie, and UniFormat.
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}$"},
{"id": "ISO-002", "name": "Status code valid", "field": "status",...
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# Standards Compliance Checker
## Business Case
### Problem Statement
Construction data compliance challenges:
- Multiple standards to meet
- Complex validation rules
- Inconsistent implementations
- Manual checking is error-prone
### Solution
Automated compliance checking against major construction data standards including ISO 19650, IFC, COBie, and UniFormat.
## Technical Implementation
```python
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
import re
class Standard(Enum):
ISO_19650 = "iso_19650"
IFC = "ifc"
COBIE = "cobie"
UNIFORMAT = "uniformat"
OMNICLASS = "omniclass"
MASTERFORMAT = "masterformat"
class ComplianceLevel(Enum):
COMPLIANT = "compliant"
MINOR_ISSUES = "minor_issues"
MAJOR_ISSUES = "major_issues"
NON_COMPLIANT = "non_compliant"
@dataclass
class ComplianceIssue:
rule_id: str
rule_name: str
severity: str # error, warning, info
message: str
field: str = ""
value: Any = None
@dataclass
class ComplianceReport:
standard: Standard
total_rules: int
passed: int
failed: int
warnings: int
compliance_level: ComplianceLevel
issues: List[ComplianceIssue] = field(default_factory=list)
class StandardsComplianceChecker:
"""Check compliance with construction data standards."""
def __init__(self):
self.rules: Dict[Standard, List[Dict]] = self._load_rules()
def _load_rules(self) -> Dict[Standard, List[Dict]]:
"""Load compliance rules for each standard."""
return {
Standard.ISO_19650: [
{"id": "ISO-001", "name": "File naming convention", "field": "filename",
"pattern": r"^[A-Z]{2,6}-[A-Z]{2,4}-[A-Z]{2,3}-[A-Z0-9]{2,4}-[A-Z]{2,3}-[A-Z]{2,4}-[A-Z0-9]{3,8}$"},
{"id": "ISO-002", "name": "Status code valid", "field": "status",...generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
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