""" Venue Technical Audit Module Skill: technical infrastructure assessment Type: analysis/processing Version: 1.0 Author: venue_engineer """ import json import math import datetime from typing import Dict, List, Optional, Any, Union from dataclasses import dataclass from collections import defaultdict @dataclass class PowerAudit: """Power infrastructure assessment results.""" total_capacity_kw: float available_circuits: int voltage_levels: List[int] backup_systems: List[str] load_distribution: Dict[str, float] compliance_score: float recommendations: List[str] @dataclass class NetworkAudit: """Network infrastructure assessment results.""" bandwidth_mbps: float wifi_access_points: int cellular_coverage: Dict[str, float] network_redundancy: bool latency_ms: float compliance_score: float recommendations: List[str] @dataclass class StructuralAudit: """Load-bearing and structural assessment results.""" floor_load_capacity_kg_m2: float stage_support_weight: float rigging_points: int emergency_exits: int accessibility_score: float compliance_score: float recommendations: List[str] class VenueTechnicalAuditor: """Comprehensive venue technical audit system.""" def __init__(self): self.audit_weights = { 'power': 0.35, 'network': 0.30, 'structural': 0.35 } self.power_requirements = { 'small_event': 50, # kW 'medium_event': 150, # kW 'large_event': 500 # kW } self.network_requirements = { 'basic': 100, # Mbps 'standard': 500, # Mbps 'high_density': 1000 # Mbps } def audit_power_infrastructure(self, venue_data: Dict[str, Any]) -> PowerAudit: """Conduct comprehensive power infrastructure audit.""" total_capacity = venue_data.get('power_capacity_kw', 0) circuits = venue_data.get('electrical_circuits', 0) voltages = venue_data.get('voltage_levels', []) backup = venue_data.get('backup_systems', []) # Calculate load distribution load_distribution = self._calculate_load_distribution(venue_data) # Compliance scoring compliance_factors = [ min(total_capacity / 200, 1.0), # 200kW minimum min(circuits / 20, 1.0), # 20 circuits minimum 1.0 if 208 in voltages else 0.8, # 208V requirement min(len(backup) / 2, 1.0) # 2 backup systems minimum ] compliance_score = sum(compliance_factors) / len(compliance_factors) * 100 # Generate recommendations recommendations = self._generate_power_recommendations( total_capacity, circuits, voltages, backup ) return PowerAudit( total_capacity_kw=total_capacity, available_circuits=circuits, voltage_levels=voltages, backup_systems=backup, load_distribution=load_distribution, compliance_score=compliance_score, recommendations=recommendations ) def audit_network_infrastructure(self, venue_data: Dict[str, Any]) -> NetworkAudit: """Conduct comprehensive network infrastructure audit.""" bandwidth = venue_data.get('bandwidth_mbps', 0) wifi_aps = venue_data.get('wifi_access_points', 0) cell_coverage = venue_data.get('cellular_coverage', {}) redundancy = venue_data.get('network_redundancy', False) latency = venue_data.get('network_latency_ms', 0) # Calculate compliance score compliance_factors = [ min(bandwidth / 500, 1.0), # 500Mbps minimum min(wifi_aps / 10, 1.0), # 10 APs minimum sum(cell_coverage.values()) / len(cell_coverage) / 100, 1.0 if redundancy else 0.5, max(0, 1.0 - latency / 100) # <100ms latency ] compliance_score = sum(compliance_factors) / len(compliance_factors) * 100 # Generate recommendations recommendations = self._generate_network_recommendations( bandwidth, wifi_aps, cell_coverage, redundancy, latency ) return NetworkAudit( bandwidth_mbps=bandwidth, wifi_access_points=wifi_aps, cellular_coverage=cell_coverage, network_redundancy=redundancy, latency_ms=latency, compliance_score=compliance_score, recommendations=recommendations ) def audit_structural_infrastructure(self, venue_data: Dict[str, Any]) -> StructuralAudit: """Conduct comprehensive structural audit.""" floor_load = venue_data.get('floor_load_capacity', 0) stage_support = venue_data.get('stage_support_weight', 0) rigging_points = venue_data.get('rigging_points', 0) emergency_exits = venue_data.get('emergency_exits', 0) accessibility = venue_data.get('accessibility_features', 0) # Calculate compliance score compliance_factors = [ min(floor_load / 500, 1.0), # 500kg/m² minimum min(stage_support / 5000, 1.0), # 5 tons minimum min(rigging_points / 20, 1.0), # 20 points minimum min(emergency_exits / 4, 1.0), # 4 exits minimum accessibility / 100 # Accessibility percentage ] compliance_score = sum(compliance_factors) / len(compliance_factors) * 100 # Generate recommendations recommendations = self._generate_structural_recommendations( floor_load, stage_support, rigging_points, emergency_exits, accessibility ) return StructuralAudit( floor_load_capacity_kg_m2=floor_load, stage_support_weight=stage_support, rigging_points=rigging_points, emergency_exits=emergency_exits, accessibility_score=accessibility, compliance_score=compliance_score, recommendations=recommendations ) def conduct_full_audit(self, venue_data: Dict[str, Any]) -> Dict[str, Any]: """Conduct complete technical audit of venue.""" power_audit = self.audit_power_infrastructure(venue_data) network_audit = self.audit_network_infrastructure(venue_data) structural_audit = self.audit_structural_infrastructure(venue_data) # Calculate overall score overall_score = ( power_audit.compliance_score * self.audit_weights['power'] + network_audit.compliance_score * self.audit_weights['network'] + structural_audit.compliance_score * self.audit_weights['structural'] ) return { 'venue_id': venue_data.get('venue_id', 'unknown'), 'audit_timestamp': datetime.datetime.now().isoformat(), 'overall_score': overall_score, 'power_audit': power_audit, 'network_audit': network_audit, 'structural_audit': structural_audit, 'audit_summary': { 'total_recommendations': len(power_audit.recommendations) + len(network_audit.recommendations) + len(structural_audit.recommendations), 'critical_issues': self._identify_critical_issues( power_audit, network_audit, structural_audit ), 'readiness_level': self._determine_readiness_level(overall_score) } } def _calculate_load_distribution(self, venue_data: Dict[str, Any]) -> Dict[str, float]: """Calculate power load distribution across venue zones.""" total_capacity = venue_data.get('power_capacity_kw', 0) zones = ['stage', 'lighting', 'sound', 'hospitality', 'backstage'] distribution = {} # Default distribution percentages default_distribution = { 'stage': 0.30, 'lighting': 0.25, 'sound': 0.15, 'hospitality': 0.20, 'backstage': 0.10 } for zone in zones: distribution[zone] = total_capacity * default_distribution.get(zone, 0.10) return distribution def _generate_power_recommendations(self, capacity: float, circuits: int, voltages: List[int], backup: List[str]) -> List[str]: """Generate power infrastructure recommendations.""" recommendations = [] if capacity < 200: recommendations.append(f"Increase power capacity to minimum 200kW (current: {capacity}kW)") if circuits < 20: recommendations.append(f"Add electrical circuits to minimum 20 (current: {circuits})") if 208 not in voltages: recommendations.append("Install 208V three-phase power for professional equipment") if len(backup) < 2: recommendations.append("Implement redundant backup power systems (generator + UPS)") return recommendations def _generate_network_recommendations(self, bandwidth: float, wifi_aps: int, cell_coverage: Dict[str, float], redundancy: bool, latency: float) -> List[str]: """Generate network infrastructure recommendations.""" recommendations = [] if bandwidth < 500: recommendations.append(f"Upgrade bandwidth to minimum 500Mbps (current: {bandwidth}Mbps)") if wifi_aps < 10: recommendations.append(f"Install additional Wi-Fi APs to minimum 10 (current: {wifi_aps})") avg_coverage = sum(cell_coverage.values()) / len(cell_coverage) if cell_coverage else 0 if avg_coverage < 80: recommendations.append("Improve cellular coverage with DAS or repeaters") if not redundancy: recommendations.append("Implement redundant network connections") if latency > 50: recommendations.append(f"Optimize network latency (current: {latency}ms)") return recommendations def _generate_structural_recommendations(self, floor_load: float, stage_support: float, rigging_points: int, emergency_exits: int, accessibility: float) -> List[str]: """Generate structural infrastructure recommendations.""" recommendations = [] if floor_load < 500: recommendations.append(f"Verify floor load capacity (current: {floor_load}kg/m²)") if stage_support < 5000: recommendations.append(f"Reinforce stage support to minimum 5 tons (current: {stage_support}kg)") if rigging_points < 20: recommendations.append(f"Add rigging points to minimum 20 (current: {rigging_points})") if emergency_exits < 4: recommendations.append(f"Add emergency exits to meet safety requirements (current: {emergency_exits})") if accessibility < 90: recommendations.append(f"Improve accessibility features (current: {accessibility}%)") return recommendations def _identify_critical_issues(self, power: PowerAudit, network: NetworkAudit, structural: StructuralAudit) -> List[str]: """Identify critical issues requiring immediate attention.""" critical_issues = [] if power.compliance_score < 60: critical_issues.append("Critical: Power infrastructure below safety standards") if network.compliance_score < 60: critical_issues.append("Critical: Network infrastructure inadequate for event requirements") if structural.compliance_score < 60: critical_issues.append("Critical: Structural safety concerns identified") return critical_issues def _determine_readiness_level(self, overall_score: float) -> str: """Determine venue readiness level based on audit score.""" if overall_score >= 90: return "EXCELLENT - Venue exceeds all requirements" elif overall_score >= 80: return "GOOD - Venue meets most requirements" elif overall_score >= 70: return "ACCEPTABLE - Venue meets minimum requirements" elif overall_score >= 60: return "MARGINAL - Venue requires improvements" else: return "INADEQUATE - Venue not suitable for events"