cwicr-resource-analyzer

# CWICR Resource Analyzer ## Business Case ### Problem Statement Construction projects require precise resource planning: - How many labor hours are needed? - What materials need to be procured? - What equipment is required and for how long? Traditional methods rely on experience-based estimates, leading to over/under allocation. ### Solution Data-driven resource analysis using CWICR's 27,672 resources with detailed breakdowns of labor norms, material requirements, and equipment usage. ### Business Value - **Accurate planning** - Based on validated resource norms - **Cost optimization** - Identify resource inefficiencies - **Procurement support** - Generate material lists - **Labor planning** - Calculate crew requirements ## Technical Implementation ### Python Implementation ```python import pandas as pd import numpy as np from typing import Dict, Any, List, Optional, Tuple from dataclasses import dataclass, field from enum import Enum from collections import defaultdict class ResourceType(Enum): """Types of construction resources.""" LABOR = "labor" MATERIAL = "material" EQUIPMENT = "equipment" SUBCONTRACT = "subcontract" class LaborCategory(Enum): """Labor skill categories.""" UNSKILLED = "unskilled" SEMI_SKILLED = "semi_skilled" SKILLED = "skilled" FOREMAN = "foreman" SUPERVISOR = "supervisor" SPECIALIST = "specialist" class EquipmentCategory(Enum): """Equipment categories.""" EARTHMOVING = "earthmoving"...