cwicr-bid-analyzer

# CWICR Bid Analyzer ## Business Case ### Problem Statement Evaluating contractor bids requires: - Comparing against market benchmarks - Identifying unusual pricing - Understanding cost composition - Documenting evaluation rationale ### Solution Analyze contractor bids against CWICR-based benchmarks to identify anomalies, compare components, and support objective bid evaluation. ### Business Value - **Objective evaluation** - Data-driven bid analysis - **Risk identification** - Spot unrealistic pricing - **Fair comparison** - Normalized bid analysis - **Documentation** - Audit trail for decisions ## 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 from enum import Enum from collections import defaultdict class BidStatus(Enum): """Bid evaluation status.""" COMPLIANT = "compliant" NON_COMPLIANT = "non_compliant" UNDER_REVIEW = "under_review" RECOMMENDED = "recommended" NOT_RECOMMENDED = "not_recommended" class PriceFlag(Enum): """Price anomaly flags.""" NORMAL = "normal" LOW = "low" # >20% below benchmark HIGH = "high" # >20% above benchmark VERY_LOW = "very_low" # >40% below - potential front-loading VERY_HIGH = "very_high" # >40% above - potential profiteering @dataclass class BidLineItem: """Single line item from bid.""" item_code: str...