对外预测接口增加逐模型逐小时曲线

Author: yangyuan-zhen

tests/test_city_forecast_api.py

@@ -31,6 +31,14 @@ def _fake_analyze(city, force_refresh=False, detail_mode="panel"):
         },
         "multi_model": {
             "model_keys": ["ecmwf", "gfs", "deb"],
+            "hourly_times": [
+                "2026-08-16T13:00",
+                "2026-08-16T14:00",
+            ],
+            "hourly_forecasts": {
+                "ecmwf": [32.1, 33.2],
+                "gfs": [31.8, 32.8],
+            },
             "daily_forecasts": {
                 "2026-08-16": {"ecmwf": 33.2, "gfs": 32.8, "deb": 33.5},
                 "2026-08-17": {"ecmwf": 34.0, "gfs": 33.1, "deb": 34.2},
@@ -75,6 +83,11 @@ def test_deb_forecast_default_watchlist_shape(monkeypatch):
     assert beijing["deb_prediction"] == 33.5
     assert "ECMWF" in beijing["deb_weights"]
     assert beijing["models_daily"]["2026-08-17"]["gfs"] == 33.1
+    assert beijing["models_hourly"]["times"] == [
+        "2026-08-16T13:00",
+        "2026-08-16T14:00",
+    ]
+    assert beijing["models_hourly"]["curves"]["ecmwf"] == [32.1, 33.2]
     assert beijing["forecast_daily"][0]["max_temp"] == 33.0
     assert beijing["local_date"] == "2026-08-16"
 

web/routers/city_forecast.py

@@ -100,16 +100,23 @@ def _build_city_forecast(city: str) -> Optional[Dict[str, Any]]:
     )
     forecast = data.get("forecast") if isinstance(data.get("forecast"), dict) else {}
     daily_forecasts = multi_model.get("daily_forecasts") or {}
+    hourly_times = multi_model.get("hourly_times") or []
+    hourly_forecasts = multi_model.get("hourly_forecasts") or {}
 
     return {
         "local_date": data.get("local_date"),
         "local_time": data.get("local_time"),
+        "utc_offset_seconds": data.get("utc_offset_seconds"),
         "temp_symbol": data.get("temp_symbol"),
         "deb_prediction": deb.get("prediction"),
         "deb_weights": deb.get("weights_info"),
         "deb_quality": deb.get("quality_tier"),
         "forecast_daily": forecast.get("daily") or [],
         "models_daily": daily_forecasts,
+        "models_hourly": {
+            "times": hourly_times,
+            "curves": hourly_forecasts,
+        },
         "model_keys": multi_model.get("model_keys") or [],
     }