validation-rules-builder

# Validation Rules Builder

## Business Case

### Problem Statement
Construction data quality challenges:
- Inconsistent naming conventions
- Invalid cost codes and WBS
- Missing or malformed data
- Non-compliant BIM elements

### Solution
Rule-based validation engine using RegEx and logic rules to ensure data quality across construction systems.

## Technical Implementation

```python
import re
from typing import Dict, Any, List, Optional, Callable
from dataclasses import dataclass, field
from enum import Enum
from datetime import date


class RuleType(Enum):
    REGEX = "regex"
    RANGE = "range"
    ENUM = "enum"
    CUSTOM = "custom"
    REQUIRED = "required"
    DATE = "date"
    REFERENCE = "reference"


class Severity(Enum):
    ERROR = "error"
    WARNING = "warning"
    INFO = "info"


@dataclass
class ValidationResult:
    field: str
    is_valid: bool
    message: str
    severity: Severity
    value: Any = None


@dataclass
class ValidationRule:
    name: str
    field: str
    rule_type: RuleType
    pattern: str = ""
    min_value: float = None
    max_value: float = None
    allowed_values: List[Any] = field(default_factory=list)
    custom_func: Callable = None
    severity: Severity = Severity.ERROR
    message: str = ""
    enabled: bool = True


class ValidationRulesBuilder:
    """Build and execute validation rules for construction data."""

    # Pre-defined patterns for construction data
    PATTERNS = {
        'wbs_code': r'^[0-9]{2}\.[0-9]{2}\.[0-9]{2}(\.[0-9]{2})?$',
        'cost_code': r'^[A-Z]{1,3}-[0-9]{3,6}$',
        'activity_id': r'^[A-Z]{1,3}[0-9]{4,6}$',
        'drawing_number': r'^[A-Z]{1,2}-[0-9]{3}-[A-Z0-9]{2,4}$',
        'specification_section': r'^[0-9]{2}\s?[0-9]{2}\s?[0-9]{2}(\.[0-9]{2})?$',
        'level_name': r'^(Level|L|FL)\s?[-_]?\s?([0-9]{1,3}|B[0-9]|R|G|M)$',
        'grid_line': r'^[A-Z]\.?[0-9]?$|^[0-9]{1,2}\.?[A-Z]?$',
        'revisio...