feat(simple_metrics): use frequency_alert while adaptive_state is escalated (SIENTIAPDE-2190)

orchestrator/utils/orchestrator_functions.py

@@ -85,6 +85,9 @@ def simple_metrics(config: dict[str, Any]):
             - interval_minutes (int, optional): Computation interval in minutes (default: 60)
             - metrics (list[str], optional): List of metrics to compute
                 (default: ['rmse', 'mse', 'mae', 'r2'])
+            - frequency_alert (str, optional): Frequency used while `adaptive_state.escalated`
+                is true; same format as `frequency`. Absent = adaptive frequency off.
+            - adaptive_state (dict, optional): `{escalated, healthy_streak}`, written by laborious.
             - Additional fields from common_config
 
     Returns:
@@ -92,14 +95,23 @@ def simple_metrics(config: dict[str, Any]):
             actual data), target table, time interval, and metrics list. Results stored in
             'simple_metrics' table
     """
+    base = common_config(config)
+    frequency_alert = config.get('frequency_alert')
+    # SIENTIAPDE-1995: laborious flips `adaptive_state.escalated` on a threshold breach (and back
+    # after the window is renewed without one) and bumps `updated_at`, which makes this tick
+    # rewrite the schedule.
+    if frequency_alert and (config.get('adaptive_state') or {}).get('escalated'):
+        base['frequency'] = frequency_alert
     return {
-        **common_config(config),
+        **base,
         'schema': 'sientia_data',
         'predictions_table_name': 'predictions',
         'data_table_name': 'laborious_data',
         'target_table_name': 'simple_metrics',
         'interval_minutes': config.get('interval_minutes', 60),
         'metrics': config.get('metrics', ['rmse', 'mse', 'mae', 'r2']),
+        # Forwarded so create_schedule_config can warn on a value below the floor.
+        'frequency_alert': frequency_alert,
     }