Navaids

"""Navaid search response models for GET /navaids."""from __future__ import annotationsfrom dataclasses import dataclass@dataclassclass NavaidsSearchRequest:    ident: str | None = None    airport: str | None = None    type: str | None = None    country: str | None = None    bbox: str | None = None    limit: int | None = None@dataclassclass NavaidRecord:    id: int    ident: str    name: str    type: str    frequency_khz: float | None    latitude_deg: float    longitude_deg: float    elevation_ft: float | None    iso_country: str | None    dme_frequency_khz: float | None    dme_channel: str | None    slaved_variation_deg: float | None    magnetic_variation_deg: float | None    usageType: str | None    power: str | None    associated_airport: str | None@dataclassclass NavaidsResponse:    navaids: list[NavaidRecord]    total: int    filters_applied: dict[str, str]

import osimport timefrom dataclasses import dataclassimport requestsHEADERS = {    "x-api-key": os.getenv("SKYLINK_API_KEY", "YOUR_API_KEY")}BASE = "https://data.skylinkapi.com/v3"CACHE: dict[str, tuple[dict, float]] = {}NAVAID_TTL = 21_600  # 6 h@dataclassclass NavaidPoint:    ident: str    name: str    navaid_type: str    latitude: float    longitude: float    frequency_khz: float | None    associated_airport: str | Nonedef fetch_navaids(*, airport: str) -> list[dict]:    airport = airport.upper()    key = f"navaids:airport:{airport}"    cached = CACHE.get(key)    if cached and time.time() < cached[1]:        return cached[0]["navaids"]    try:        r = requests.get(            f"{BASE}/navaids",            headers=HEADERS,            params={"airport": airport},            timeout=(10, 15),        )    except requests.Timeout as exc:        raise RuntimeError(f"SkyLink timeout fetching navaids for {airport}") from exc    r.raise_for_status()    data = r.json()    CACHE[key] = (data, time.time() + NAVAID_TTL)    return data.get("navaids", [])def navaid_points_for_map(airport: str) -> list[NavaidPoint]:    return [        NavaidPoint(            ident=item["ident"],            name=item["name"],            navaid_type=item["type"],            latitude=item["latitude_deg"],            longitude=item["longitude_deg"],            frequency_khz=item.get("frequency_khz"),            associated_airport=item.get("associated_airport"),        )        for item in fetch_navaids(airport=airport)    ]if __name__ == "__main__":    import json    from dataclasses import asdict    points = navaid_points_for_map("KJFK")    print(json.dumps([asdict(p) for p in points[:8]], indent=2))