cwicr-labor-scheduler

# CWICR Labor Scheduler ## Business Case ### Problem Statement Project managers need to plan labor allocation: - How many workers per day? - What skills are needed when? - How to balance workload across project phases? - How to avoid resource conflicts? ### Solution Data-driven labor scheduling using CWICR labor norms to generate crew schedules, loading curves, and skill requirement timelines. ### Business Value - **Accurate planning** - Based on validated labor norms - **Resource leveling** - Smooth workload distribution - **Skill matching** - Right workers at right time - **Cost control** - Optimize labor costs ## Technical Implementation ```python import pandas as pd import numpy as np from typing import Dict, Any, List, Optional, Tuple from dataclasses import dataclass, field from datetime import datetime, timedelta from enum import Enum from collections import defaultdict class ShiftType(Enum): """Work shift types.""" SINGLE = "single" # 8 hours DOUBLE = "double" # 16 hours (2 shifts) TRIPLE = "triple" # 24 hours (3 shifts) EXTENDED = "extended" # 10 hours class SkillLevel(Enum): """Worker skill levels.""" UNSKILLED = 1 SEMI_SKILLED = 2 SKILLED = 3 FOREMAN = 4 SPECIALIST = 5 @dataclass class LaborRequirement: """Labor requirement for a work item.""" work_item_code: str description: str total_hours: float skill_level: SkillLevel trade: str start_date: datetime end_date:...