"""City payload builders for API-facing response shapes.""" from __future__ import annotations from typing import Any, Dict, Optional from web.core import _is_excluded_model_name TURKISH_MGM_CITIES = {"ankara", "istanbul"} def build_city_summary_payload(data: Dict[str, Any]) -> Dict[str, Any]: return { "name": data.get("name"), "display_name": data.get("display_name"), "icao": data.get("risk", {}).get("icao"), "utc_offset_seconds": data.get("utc_offset_seconds"), "local_time": data.get("local_time"), "temp_symbol": data.get("temp_symbol"), "current": { "temp": data.get("current", {}).get("temp"), "obs_time": data.get("current", {}).get("obs_time"), "settlement_source": data.get("current", {}).get("settlement_source"), "settlement_source_label": data.get("current", {}).get( "settlement_source_label" ), }, "deb": {"prediction": data.get("deb", {}).get("prediction")}, "deviation_monitor": data.get("deviation_monitor") or {}, "risk": { "level": data.get("risk", {}).get("level"), "warning": data.get("risk", {}).get("warning"), }, "updated_at": data.get("updated_at"), } def build_city_detail_payload( data: Dict[str, Any], market_slug: Optional[str] = None, target_date: Optional[str] = None, ) -> Dict[str, Any]: return { "city": data.get("name"), "fetched_at": data.get("updated_at"), "overview": { "name": data.get("name"), "display_name": data.get("display_name"), "icao": data.get("risk", {}).get("icao"), "airport": data.get("risk", {}).get("airport"), "lat": data.get("lat"), "lon": data.get("lon"), "local_time": data.get("local_time"), "local_date": data.get("local_date"), "temp_symbol": data.get("temp_symbol"), "current_temp": data.get("current", {}).get("temp"), "settlement_source": data.get("current", {}).get("settlement_source"), "settlement_source_label": data.get("current", {}).get( "settlement_source_label" ), "settlement_station": data.get("settlement_station") or {}, "deb_prediction": data.get("deb", {}).get("prediction"), "risk_level": data.get("risk", {}).get("level"), "risk_warning": data.get("risk", {}).get("warning"), "updated_at": data.get("updated_at"), }, "official": { "available": bool(data.get("current", {}).get("temp") is not None), "metar": { "observation_time": data.get("airport_current", {}).get("obs_time"), "obs_age_min": data.get("airport_current", {}).get("obs_age_min"), "report_time": data.get("airport_current", {}).get("report_time"), "receipt_time": data.get("airport_current", {}).get("receipt_time"), "raw_metar": data.get("airport_current", {}).get("raw_metar"), "current": data.get("airport_current") or {}, }, "taf": data.get("taf") or {}, "weather_gov": {}, "mgm": data.get("mgm") or {}, "mgm_nearby": data.get("mgm_nearby") or [], "nearby_source": data.get("nearby_source") or ( "mgm" if str(data.get("name") or "").lower() in TURKISH_MGM_CITIES else "metar_cluster" ), "airport_primary": data.get("airport_primary") or {}, "airport_primary_today_obs": data.get("airport_primary_today_obs") or [], "official_nearby": data.get("official_nearby") or [], "official_network_source": data.get("official_network_source"), "official_network_status": data.get("official_network_status") or {}, "network_lead_signal": data.get("network_lead_signal") or {}, "network_spread_signal": data.get("network_spread_signal") or {}, "center_station_candidate": data.get("center_station_candidate"), "airport_vs_network_delta": data.get("airport_vs_network_delta"), }, "timeseries": { "metar_recent_obs": data.get("metar_recent_obs") or [], "metar_today_obs": data.get("metar_today_obs") or [], "settlement_today_obs": data.get("settlement_today_obs") or [], "hourly": data.get("hourly") or {}, "mgm_hourly": (data.get("mgm") or {}).get("hourly", []), "forecast_daily": (data.get("forecast") or {}).get("daily", []), }, "models": { k: v for k, v in (data.get("multi_model") or {}).items() if not _is_excluded_model_name(k) }, "models_hourly": { "times": (data.get("multi_model") or {}).get("hourly_times", []), "curves": { model: values for model, values in ( (data.get("multi_model") or {}).get("hourly_forecasts", {}) ).items() if not _is_excluded_model_name(model) }, }, "deb": data.get("deb") or {}, "multi_model_daily": data.get("multi_model_daily") or {}, "probabilities": data.get("probabilities") or {"mu": None, "distribution": []}, "dynamic_commentary": data.get("dynamic_commentary") or {"summary": "", "notes": []}, "intraday_meteorology": data.get("intraday_meteorology") or _build_intraday_meteorology(data), "vertical_profile_signal": data.get("vertical_profile_signal") or {}, "taf": data.get("taf") or {}, "risk": data.get("risk"), "settlement_station": data.get("settlement_station") or {}, "airport_primary": data.get("airport_primary") or {}, "official_nearby": data.get("official_nearby") or [], "official_network_source": data.get("official_network_source"), "official_network_status": data.get("official_network_status") or {}, "network_lead_signal": data.get("network_lead_signal") or {}, "network_spread_signal": data.get("network_spread_signal") or {}, "center_station_candidate": data.get("center_station_candidate"), "airport_vs_network_delta": data.get("airport_vs_network_delta"), "airport_current": data.get("airport_current") or {}, "amos": data.get("amos") or {}, "nearby_source": data.get("nearby_source") or ( "mgm" if str(data.get("name") or "").lower() in TURKISH_MGM_CITIES else "metar_cluster" ), "ai_analysis": data.get("ai_analysis") or "", "errors": {}, } def _build_intraday_meteorology(data: Dict[str, Any]) -> Dict[str, Any]: from web.analysis_service import _build_intraday_meteorology as build_intraday return build_intraday(data)