Add observation context features to trainer

app.py

@@ -74,6 +74,24 @@ FEATURE_CANDIDATES = [
     "dmi_precipitation_pred_run_delta",
     "dmi_pressure_msl_pred_run_delta",
     "dmi_relative_humidity_2m_pred_run_delta",
+    "obs_temp_lag_1h",
+    "obs_temp_mean_3h",
+    "obs_temp_mean_6h",
+    "obs_wind_lag_1h",
+    "obs_wind_mean_3h",
+    "obs_wind_mean_6h",
+    "obs_wind_u_lag_1h",
+    "obs_wind_u_mean_3h",
+    "obs_wind_v_lag_1h",
+    "obs_wind_v_mean_3h",
+    "obs_pressure_lag_1h",
+    "obs_pressure_mean_3h",
+    "obs_humidity_lag_1h",
+    "obs_humidity_mean_3h",
+    "obs_precip_lag_1h",
+    "obs_precip_sum_3h",
+    "obs_precip_sum_6h",
+    "obs_precip_sum_12h",
 ]
 
 TARGET_SPECS = {
@@ -668,7 +686,7 @@ def auto_retrain():
 
 def run_scheduler():
     log_event("scheduler starting")
-    schedule.every().sunday.at("06:30").do(lambda: run_logged("scheduled_auto_retrain", auto_retrain))
+    schedule.every().sunday.at("06:50").do(lambda: run_logged("scheduled_auto_retrain", auto_retrain))
     log_event("scheduler_registered")
     while True:
         try: