kbarbel640-del Input Validation for Construction Data
Overview
Validate incoming construction data before processing to catch errors early. Domain-specific validation rules for estimates, schedules, BIM exports, and field data.
Validation Framework
Core Validator Class
from dataclasses import dataclass, field
from typing import List, Dict, Any, Callable, Optional
from enum import Enum
import re
from datetime import datetime
class ValidationSeverity(Enum):
ERROR = "error" # Must fix, blocks processing
WARNING = "warning" # Should review, allows processing
INFO = "info" # FYI, no action needed
@dataclass
class ValidationIssue:
field: str
message: str
severity: ValidationSeverity
value: Any = None
suggestion: str = None
@dataclass
class ValidationResult:
is_valid: bool
issues: List[ValidationIssue] = field(default_factory=list)
def add_error(self, field: str, message: str, value: Any = None, suggestion: str = None):
self.issues.append(ValidationIssue(field, message, ValidationSeverity.ERROR, value, suggestion))
self.is_valid = False
def add_warning(self, field: str, message: str, value: Any = None, suggestion: str = None):
self.issues.append(ValidationIssue(field, message, ValidationSeverity.WARNING, value, suggestion))
def add_info(self, field: str, message: str, value: Any = None):
self.issues.append(ValidationIssue(field, message, ValidationSeverity.INFO, value))
@property
def errors(self) -> List[ValidationIssue]:
return [i for i in self.issues if i.severity == ValidationSeverity.ERROR]
@property
def warnings(self) -> List[ValidationIssue]:
return [i for i in self.issues if i.severity == ValidationSeverity.WARNING]
def to_report(self) -> str:
lines = ["VALIDATION REPORT", "=" * 50]
lines.append(f"Status: {'PASSED' if self.is_valid else 'FAILED'}")
lines.append(f"Errors: {len(self.errors)}, Warnings: {len(self.warnings)}")
lines.append("")
for issue in self.issues:
icon = "❌" if issue.severity == ValidationSeverity.ERROR else "⚠️" if issue.severity == ValidationSeverity.WARNING else "ℹ️"
lines.append(f"{icon} [{issue.field}] {issue.message}")
if issue.suggestion:
lines.append(f" Suggestion: {issue.suggestion}")
return "\n".join(lines)
Cost Estimate Validation
class CostEstimateValidator:
"""Validate cost estimate inputs."""
# Typical cost ranges per CSI division ($/SF)
TYPICAL_RANGES = {
'03': (15, 45), # Concrete
'04': (8, 25), # Masonry
'05': (12, 35), # Metals
'06': (5, 20), # Wood/Plastics
'07': (8, 30), # Thermal/Moisture
'08': (15, 50), # Openings
'09': (10, 40), # Finishes
'22': (8, 25), # Plumbing
'23': (12, 40), # HVAC
'26': (10, 35), # Electrical
}
def validate(self, estimate_data: Dict[str, Any]) -> ValidationResult:
result = ValidationResult(is_valid=True)
# Required fields
self._validate_required_fields(estimate_data, result)
# Line item validation
if 'line_items' in estimate_data:
self._validate_line_items(estimate_data['line_items'], result)
# Total validation
self._validate_totals(estimate_data, result)
# Cost range validation
if 'gross_area' in estimate_data:
self._validate_cost_ranges(estimate_data, result)
return result
def _validate_required_fields(self, data: dict, result: ValidationResult):
required = ['project_name', 'estimate_date', 'line_items', 'total']
for field in required:
if field not in data or data[field] is None:
result.add_error(field, f"Required field '{field}' is missing")
def _validate_line_items(self, items: list, result: ValidationResult):
for i, item in enumerate(items):
# Check for negative values
if item.get('quantity', 0) < 0:
result.add_error(f"line_items[{i}].quantity", "Quantity cannot be negative", item.get('quantity'))
if item.get('unit_cost', 0) < 0:
result.add_error(f"line_items[{i}].unit_cost", "Unit cost cannot be negative", item.get('unit_cost'))
# Check for missing descriptions
if not item.get('description'):
result.add_warning(f"line_items[{i}].description", "Line item missing description")
# Check for valid CSI code
if item.get('csi_code'):
if not re.match(r'^\d{2}\s?\d{2}\s?\d{2}$', item['csi_code']):
result.add_warning(f"line_items[{i}].csi_code", f"Invalid CSI code format: {item['csi_code']}", suggestion="Use format: XX XX XX")
# Check for zero amounts
amount = item.get('quantity', 0) * item.get('unit_cost', 0)
if amount == 0:
result.add_warning(f"line_items[{i}]", "Line item has zero amount")
def _validate_totals(self, data: dict, result: ValidationResult):
if 'line_items' not in data or 'total' not in data:
return
calculated = sum(
item.get('quantity', 0) * item.get('unit_cost', 0)
for item in data['line_items']
)
declared = data['total']
variance = abs(calculated - declared)
if variance > 0.01:
result.add_error("total", f"Total mismatch: calculated {calculated:.2f}, declared {declared:.2f}", variance)
def _validate_cost_ranges(self, data: dict, result: ValidationResult):
gross_area = data['gross_area']
for item in data.get('line_items', []):
csi_div = item.get('csi_code', '')[:2]
if csi_div in self.TYPICAL_RANGES:
amount = item.get('quantity', 0) * item.get('unit_cost', 0)
cost_per_sf = amount / gross_area if gross_area > 0 else 0
low, high = self.TYPICAL_RANGES[csi_div]
if cost_per_sf < low * 0.5 or cost_per_sf > high * 2:
result.add_warning(
f"line_items[{item.get('description', 'Unknown')}]",
f"Cost ${cost_per_sf:.2f}/SF outside typical range ${low}-${high}/SF for Division {csi_div}",
cost_per_sf,
"Review unit costs and quantities"
)
Schedule Validation
class ScheduleValidator:
"""Validate schedule/planning inputs."""
def validate(self, schedule_data: Dict[str, Any]) -> ValidationResult:
result = ValidationResult(is_valid=True)
# Required fields
self._validate_required_fields(schedule_data, result)
# Task validation
if 'tasks' in schedule_data:
self._validate_tasks(schedule_data['tasks'], result)
self._validate_dependencies(schedule_data['tasks'], result)
self._validate_resources(schedule_data['tasks'], result)
return result
def _validate_required_fields(self, data: dict, result: ValidationResult):
required = ['project_name', 'start_date', 'tasks']
for field in required:
if field not in data:
result.add_error(field, f"Required field '{field}' is missing")
def _validate_tasks(self, tasks: list, result: ValidationResult):
task_ids = set()
for i, task in enumerate(tasks):
# Check for duplicate IDs
task_id = task.get('id')
if task_id in task_ids:
result.add_error(f"tasks[{i}].id", f"Duplicate task ID: {task_id}")
task_ids.add(task_id)
# Check dates
start = task.get('start_date')
end = task.get('end_date')
if start and end:
try:
start_dt = datetime.fromisoformat(start) if isinstance(start, str) else start
end_dt = datetime.fromisoformat(end) if isinstance(end, str) else end
if end_dt < start_dt:
result.add_error(f"tasks[{i}]", f"End date before start date", f"{start} -> {end}")
# Check for unrealistic durations
duration = (end_dt - start_dt).days
if duration > 365:
result.add_warning(f"tasks[{i}]", f"Task duration exceeds 1 year ({duration} days)")
if duration == 0 and task.get('type') != 'milestone':
result.add_warning(f"tasks[{i}]", "Task has zero duration but is not marked as milestone")
except ValueError as e:
result.add_error(f"tasks[{i}]", f"Invalid date format: {e}")
# Check for missing duration
if not task.get('duration') and not (start and end):
result.add_error(f"tasks[{i}]", "Task missing duration or start/end dates")
def _validate_dependencies(self, tasks: list, result: ValidationResult):
task_ids = {t.get('id') for t in tasks}
task_dict = {t.get('id'): t for t in tasks}
for task in tasks:
predecessors = task.get('predecessors', [])
for pred_id in predecessors:
# Check predecessor exists
if pred_id not in task_ids:
result.add_error(f"tasks[{task.get('id')}].predecessors", f"Predecessor '{pred_id}' does not exist")
continue
# Check for logical sequence (if dates available)
pred = task_dict.get(pred_id)
if pred and pred.get('end_date') and task.get('start_date'):
pred_end = datetime.fromisoformat(pred['end_date']) if isinstance(pred['end_date'], str) else pred['end_date']
task_start = datetime.fromisoformat(task['start_date']) if isinstance(task['start_date'], str) else task['start_date']
if task_start < pred_end:
result.add_error(
f"tasks[{task.get('id')}]",
f"Task starts before predecessor '{pred_id}' ends",
f"Pred ends: {pred_end}, Task starts: {task_start}"
)
def _validate_resources(self, tasks: list, result: ValidationResult):
# Check for resource over-allocation by date
resource_usage = {}
for task in tasks:
resources = task.get('resources', [])
start = task.get('start_date')
end = task.get('end_date')
if not (resources and start and end):
continue
# Simplified: just check if any resource assigned to multiple tasks
for resource in resources:
res_id = resource.get('id') or resource.get('name')
if res_id not in resource_usage:
resource_usage[res_id] = []
resource_usage[res_id].append({
'task': task.get('id'),
'start': start,
'end': end,
'allocation': resource.get('allocation', 100)
})
# Check allocations
for res_id, assignments in resource_usage.items():
if len(assignments) > 1:
# Simple overlap check
total_allocation = sum(a['allocation'] for a in assignments)
if total_allocation > 100:
result.add_warning(
f"resource[{res_id}]",
f"Resource may be over-allocated ({total_allocation}%)",
suggestion="Check for overlapping assignments"
)
BIM Data Validation
class BIMDataValidator:
"""Validate BIM export data (IFC, COBie, etc.)."""
def validate(self, bim_data: Dict[str, Any]) -> ValidationResult:
result = ValidationResult(is_valid=True)
# Check element data
if 'elements' in bim_data:
self._validate_elements(bim_data['elements'], result)
# Check property sets
if 'property_sets' in bim_data:
self._validate_properties(bim_data['property_sets'], result)
# Check spatial structure
if 'spatial_structure' in bim_data:
self._validate_spatial(bim_data['spatial_structure'], result)
return result
def _validate_elements(self, elements: list, result: ValidationResult):
guids = set()
for i, elem in enumerate(elements):
# Check for unique GUIDs
guid = elem.get('guid')
if guid in guids:
result.add_error(f"elements[{i}].guid", f"Duplicate GUID: {guid}")
guids.add(guid)
# Check for required properties
if not elem.get('ifc_type'):
result.add_warning(f"elements[{i}]", "Element missing IFC type")
if not elem.get('name'):
result.add_warning(f"elements[{i}]", "Element missing name")
# Check geometry
if not elem.get('geometry') and not elem.get('location'):
result.add_warning(f"elements[{i}]", "Element has no geometry or location")
# Check for valid quantities
for qty_name in ['area', 'volume', 'length']:
if qty_name in elem and elem[qty_name] < 0:
result.add_error(f"elements[{i}].{qty_name}", f"Negative {qty_name} value", elem[qty_name])
def _validate_properties(self, property_sets: list, result: ValidationResult):
for pset in property_sets:
pset_name = pset.get('name', 'Unknown')
# Check for empty property sets
if not pset.get('properties'):
result.add_warning(f"property_set[{pset_name}]", "Property set has no properties")
# Check property values
for prop in pset.get('properties', []):
if prop.get('value') is None:
result.add_info(f"property_set[{pset_name}].{prop.get('name')}", "Property has null value")
def _validate_spatial(self, spatial: dict, result: ValidationResult):
# Check for proper hierarchy
if not spatial.get('site'):
result.add_warning("spatial_structure", "No site defined")
if not spatial.get('building'):
result.add_warning("spatial_structure", "No building defined")
if not spatial.get('levels') or len(spatial.get('levels', [])) == 0:
result.add_warning("spatial_structure", "No levels/floors defined")
Field Data Validation
class FieldDataValidator:
"""Validate field/site data inputs."""
def validate(self, field_data: Dict[str, Any]) -> ValidationResult:
result = ValidationResult(is_valid=True)
# Daily report validation
if field_data.get('type') == 'daily_report':
self._validate_daily_report(field_data, result)
# Inspection data
if field_data.get('type') == 'inspection':
self._validate_inspection(field_data, result)
# Progress data
if field_data.get('type') == 'progress':
self._validate_progress(field_data, result)
return result
def _validate_daily_report(self, data: dict, result: ValidationResult):
required = ['date', 'weather', 'workforce']
for field in required:
if field not in data:
result.add_error(field, f"Daily report missing '{field}'")
# Validate workforce
if 'workforce' in data:
total = sum(w.get('count', 0) for w in data['workforce'])
if total == 0:
result.add_warning("workforce", "No workers reported on-site")
if total > 500:
result.add_warning("workforce", f"Unusually high workforce count: {total}")
# Validate date
if 'date' in data:
try:
report_date = datetime.fromisoformat(data['date']) if isinstance(data['date'], str) else data['date']
if report_date > datetime.now():
result.add_error("date", "Report date is in the future")
except ValueError:
result.add_error("date", "Invalid date format")
def _validate_inspection(self, data: dict, result: ValidationResult):
required = ['inspection_type', 'date', 'inspector', 'result']
for field in required:
if field not in data:
result.add_error(field, f"Inspection missing '{field}'")
# Check result value
valid_results = ['pass', 'fail', 'conditional', 'not_applicable']
if data.get('result') and data['result'].lower() not in valid_results:
result.add_warning("result", f"Non-standard inspection result: {data['result']}")
def _validate_progress(self, data: dict, result: ValidationResult):
# Check percentage values
if 'percent_complete' in data:
pct = data['percent_complete']
if pct < 0 or pct > 100:
result.add_error("percent_complete", f"Invalid percentage: {pct}", suggestion="Must be 0-100")
# Check for regression (if previous value available)
if 'previous_percent' in data and 'percent_complete' in data:
if data['percent_complete'] < data['previous_percent']:
result.add_warning("percent_complete", "Progress decreased from previous report",
f"{data['previous_percent']}% -> {data['percent_complete']}%")
Usage Examples
# Validate a cost estimate
estimate = {
'project_name': 'Office Building',
'estimate_date': '2026-01-15',
'gross_area': 50000,
'line_items': [
{'description': 'Concrete', 'csi_code': '03 30 00', 'quantity': 5000, 'unit_cost': 150},
{'description': 'Steel', 'csi_code': '05 12 00', 'quantity': 200, 'unit_cost': 2500},
],
'total': 1250000
}
validator = CostEstimateValidator()
result = validator.validate(estimate)
print(result.to_report())
# Validate before processing
if result.is_valid:
process_estimate(estimate)
else:
print("Fix errors before processing")
for error in result.errors:
print(f" - {error.field}: {error.message}")
Integration with DDC Pipeline
# Validate all inputs before pipeline execution
def validate_pipeline_inputs(inputs: dict) -> bool:
validators = {
'estimate': CostEstimateValidator(),
'schedule': ScheduleValidator(),
'bim_data': BIMDataValidator(),
'field_data': FieldDataValidator()
}
all_valid = True
for input_type, data in inputs.items():
if input_type in validators:
result = validators[input_type].validate(data)
if not result.is_valid:
print(f"\n{input_type.upper()} VALIDATION FAILED:")
print(result.to_report())
all_valid = False
return all_valid
Resources
- Data Quality Best Practices: Validate early, validate often
- Construction Data Standards: CSI, IFC, COBie specifications
- Error Handling: Always provide actionable suggestions