def analyze_accessibility()

in gemini/agents/research-multi-agents/ev_agent/api_handler/api_02_EV_Infra_StationAnalysis.py [0:0]

• 36 lines of code
• 18 McCabe index (conditional complexity)

def analyze_accessibility(stations: List[Dict]) -> AccessibilityMetrics:
    """Analyze accessibility metrics from station data"""
    metrics = AccessibilityMetrics()
    total_stations = len(stations)

    for station in stations:
        # Access type analysis
        access_time = (station.get("access_days_time") or "").lower()
        access_code = (station.get("access_code") or "").lower()

        if "24 hours" in access_time:
            metrics.access_type["24_7_access"]["count"] += 1
        if "restricted" in access_time:
            metrics.access_type["restricted"]["count"] += 1
        if access_code == "public":
            metrics.access_type["public"]["count"] += 1

        # print(station)

        # Payment methods analysis based on network and other indicators
        network = station.get("ev_network", "").lower()
        # If it's a networked station (not Tesla and not Non-Networked)
        if network and network not in ["tesla", "non-networked"]:
            # Most charging networks support multiple payment methods
            metrics.payment_methods["credit_card"]["count"] += 1
            metrics.payment_methods["mobile_pay"]["count"] += 1
            metrics.payment_methods["network_card"]["count"] += 1
        elif "tesla" in network.lower():
            # Tesla specific payment methods
            metrics.payment_methods["mobile_pay"]["count"] += 1
        elif any(keyword in access_time.lower() for keyword in ["pay", "fee", "paid"]):
            # For non-networked stations that mention payment
            metrics.payment_methods["credit_card"]["count"] += 1

        # Operational status
        if station.get("status_code") == "E":
            metrics.operational_status["operational"]["count"] += 1
        else:
            metrics.operational_status["non_operational"]["count"] += 1

    # Calculate percentages
    if total_stations > 0:
        for category in [
            metrics.access_type,
            metrics.payment_methods,
            metrics.operational_status,
        ]:
            for metric in category.values():
                metric["percentage"] = round(
                    (metric["count"] / total_stations * 100), 2
                )

    return metrics