bim-validation-report
Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.
git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction /tmp/bim-validation-report && cp -r /tmp/bim-validation-report/1_DDC_Toolkit/BIM-Analysis/bim-validation-report ~/.claude/skills/bim-validation-reportSKILL.md
# BIM Validation Report Generator
## Business Case
### Problem Statement
BIM models often have quality issues:
- Missing required properties
- Invalid or inconsistent data
- Non-compliant with project standards
- Incomplete model information
### Solution
Automated BIM validation system that checks models against configurable rules and generates detailed compliance reports.
### Business Value
- **Quality assurance** - Catch issues early
- **Standards compliance** - Meet project requirements
- **Automation** - Reduce manual QC effort
- **Transparency** - Clear validation results
## Technical Implementation
```python
import pandas as pd
from datetime import datetime
from typing import Dict, Any, List, Optional, Callable
from dataclasses import dataclass, field
from enum import Enum
class ValidationSeverity(Enum):
"""Validation issue severity."""
ERROR = "error"
WARNING = "warning"
INFO = "info"
class ValidationStatus(Enum):
"""Overall validation status."""
PASSED = "passed"
PASSED_WITH_WARNINGS = "passed_with_warnings"
FAILED = "failed"
class RuleCategory(Enum):
"""Validation rule categories."""
REQUIRED_PROPERTIES = "required_properties"
DATA_FORMAT = "data_format"
NAMING_CONVENTION = "naming_convention"
GEOMETRIC = "geometric"
CLASSIFICATION = "classification"
RELATIONSHIPS = "relationships"
@dataclass
class ValidationRule:
"""Single validation rule."""
rule_id: str
name: str
category: RuleCategory
description: str
severity: ValidationSeverity
check_function: Callable
applicable_categories: List[str] = field(default_factory=list)
enabled: bool = True
@dataclass
class ValidationIssue:
"""Single validation issue."""
issue_id: str
rule_id: str
rule_name: str
element_id: str
element_name: str
element_category: str
severity: ValidationSeverity
message: str
details: Dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> Dict[str, Any]:
return {
'issue_id': self.issue_id,
'rule_id': self.rule_id,
'rule_name': self.rule_name,
'element_id': self.element_id,
'element_name': self.element_name,
'element_category': self.element_category,
'severity': self.severity.value,
'message': self.message
}
@dataclass
class ValidationReport:
"""Complete validation report."""
project_name: str
model_name: str
validated_at: datetime
status: ValidationStatus
total_elements: int
elements_with_issues: int
issues: List[ValidationIssue]
rules_checked: int
summary_by_severity: Dict[str, int]
summary_by_category: Dict[str, int]
class BIMValidationEngine:
"""BIM model validation engine."""
def __init__(self, project_name: str, model_name: str):
self.project_name = project_name
self.model_name = model_name
self.rules: List[ValidationRule] = []
self.issues: List[ValidationIssue] = []
self._issue_counter = 0
# Load default rules
self._load_default_rules()
def _load_default_rules(self):
"""Load standard validation rules."""
# Required properties rules
self.add_rule(ValidationRule(
rule_id="REQ-001",
name="Element Name Required",
category=RuleCategory.REQUIRED_PROPERTIES,
description="All elements must have a name",
severity=ValidationSeverity.ERROR,
check_function=lambda e: bool(e.get('name'))
))
self.add_rule(ValidationRule(
rule_id="REQ-002",
name="Level Assignment Required",
category=RuleCategory.REQUIRED_PROPERTIES,
description="Elements must be assigned to a level",
severity=ValidationSeverity.WARNING,
check_function=lambda e: bool(e.get('level')),
applicable_categories=["Walls", "Floors", "Doors", "Windows"]
))
self.add_rule(ValidationRule(
rule_id="REQ-003",
name="Material Required",
category=RuleCategory.REQUIRED_PROPERTIES,
description="Structural elements must have material defined",
severity=ValidationSeverity.ERROR,
check_function=lambda e: bool(e.get('material')),
applicable_categories=["Structural Columns", "Structural Framing", "Floors"]
))
# Naming convention rules
self.add_rule(ValidationRule(
rule_id="NAM-001",
name="No Special Characters",
category=RuleCategory.NAMING_CONVENTION,
description="Names should not contain special characters",
severity=ValidationSeverity.WARNING,
check_function=self._check_no_special_chars
))
self.add_rule(ValidationRule(
rule_id="NAM-002",
name="Name Length Check",
category=RuleCategory.NAMING_CONVENTION,
description="Names should be between 3 and 100 characters",
severity=ValidationSeverity.INFO,
check_function=lambda e: 3 <= len(e.get('name', '')) <= 100
))
# Classification rules
self.add_rule(ValidationRule(
rule_id="CLS-001",
name="Classification Code Present",
category=RuleCategory.CLASSIFICATION,
description="Elements should have classification code",
severity=ValidationSeverity.WARNING,
check_function=lambda e: bool(e.get('classification_code') or e.get('uniformat'))
))
# Geometric rules
self.add_rule(ValidationRule(
rule_id="GEO-001",
name="Non-Zero Volume",
category=RuleCategory.GEOMETRIC,
description="3D elements must have non-zero volume",
severity=ValidationSeverity.ERROR,
check_function=lambda e: float(e.get('Generate automated daily progress reports from site data. Track work completed, labor hours, equipment usage, and weather conditions.
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