feat: Implement Wunderground data integration, enhance dashboard weather data processing, and add future forecast modal.

This commit is contained in:
2569718930@qq.com
2026-03-25 18:03:56 +08:00
parent fd210ac730
commit 7589fd74bf
6 changed files with 331 additions and 32 deletions
+38 -10
View File
@@ -760,6 +760,15 @@ def _analyze(city: str, force_refresh: bool = False) -> Dict[str, Any]:
for t, v in (metar.get("today_obs", []) if metar else [])
]
metar_recent_obs_payload = metar.get("recent_obs", []) if metar else []
airport_max_so_far = None
airport_max_temp_time = None
for point in metar_today_obs_payload:
value = _sf(point.get("temp")) if isinstance(point, dict) else None
if value is None:
continue
if airport_max_so_far is None or value >= airport_max_so_far:
airport_max_so_far = value
airport_max_temp_time = str(point.get("time") or "") or None
# ── 3. Local time parsing ──
local_time_full = om.get("current", {}).get("local_time", "")
@@ -1272,10 +1281,10 @@ def _analyze(city: str, force_refresh: bool = False) -> Dict[str, Any]:
"settlement_source": settlement_source,
"settlement_source_label": settlement_source_label,
"obs_time": obs_time_str,
"obs_age_min": metar_age_min,
"report_time": metar.get("report_time") if metar else None,
"receipt_time": metar.get("receipt_time") if metar else None,
"obs_time_epoch": metar.get("obs_time_epoch") if metar else None,
"obs_age_min": None if use_settlement_current else metar_age_min,
"report_time": primary_current.get("report_time"),
"receipt_time": primary_current.get("receipt_time"),
"obs_time_epoch": primary_current.get("obs_time_epoch"),
"wind_speed_kt": _sf(primary_current.get("wind_speed_kt")),
"wind_dir": _sf(primary_current.get("wind_dir")),
"humidity": _sf(primary_current.get("humidity")),
@@ -1287,6 +1296,24 @@ def _analyze(city: str, force_refresh: bool = False) -> Dict[str, Any]:
"wx_desc": primary_current.get("wx_desc"),
"raw_metar": primary_current.get("raw_metar"),
},
"airport_current": {
"temp": _sf(mc.get("temp")),
"obs_time": metar.get("obs_time"),
"max_so_far": airport_max_so_far,
"max_temp_time": airport_max_temp_time,
"obs_age_min": metar_age_min,
"report_time": metar.get("report_time") if metar else None,
"receipt_time": metar.get("receipt_time") if metar else None,
"obs_time_epoch": metar.get("obs_time_epoch") if metar else None,
"wind_speed_kt": _sf(mc.get("wind_speed_kt")),
"wind_dir": _sf(mc.get("wind_dir")),
"humidity": _sf(mc.get("humidity")),
"cloud_desc": metar.get("cloud_desc") if metar else None,
"visibility_mi": _sf(mc.get("visibility_mi")),
"wx_desc": mc.get("wx_desc"),
"raw_metar": mc.get("raw_metar"),
"source_label": "METAR",
},
"mgm": mgm_data,
"mgm_nearby": raw.get("mgm_nearby", []),
"nearby_source": raw.get("nearby_source") or ("mgm" if city.lower() == "ankara" else "metar_cluster"),
@@ -1489,12 +1516,12 @@ def _build_city_detail_payload(
"official": {
"available": bool(data.get("current", {}).get("temp") is not None),
"metar": {
"observation_time": data.get("current", {}).get("obs_time"),
"obs_age_min": data.get("current", {}).get("obs_age_min"),
"report_time": data.get("current", {}).get("report_time"),
"receipt_time": data.get("current", {}).get("receipt_time"),
"raw_metar": data.get("current", {}).get("raw_metar"),
"current": data.get("current"),
"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": {},
@@ -1521,6 +1548,7 @@ def _build_city_detail_payload(
"taf": data.get("taf") or {},
"market_scan": market_scan,
"risk": data.get("risk"),
"airport_current": data.get("airport_current") or {},
"nearby_source": data.get("nearby_source") or ("mgm" if data.get("name") == "ankara" else "metar_cluster"),
"ai_analysis": data.get("ai_analysis") or "",
"errors": {},