SIENTIAPDE-1171

SIENTIAPDE-1171 feat: add minimal retrain schedule configuration to samples.json and update formatters.py

- Added a new schedule configuration for the minimal retrain pipeline in samples.json.
- Updated the Formatters class in formatters.py to handle the new minimal retrain workflow type, integrating the minimal_retrain function for streamlined processing.

orchestrator/activities/formatters.py

@@ -1,6 +1,8 @@
 
 from temporalio import activity, workflow
 
+from orchestrator.utils.orchestrator_functions import minimal_retrain
+
 
 with workflow.unsafe.imports_passed_through():
     import json
@@ -67,6 +69,13 @@ class Formatters(BaseActivity):
                     "updated_at": pipeline.get(
                         "updated_at", datetime.now().strftime(DEFAULT_DATE_FORMAT))
                 }
+            elif pipeline['workflow_type'] == 'minimal_retrain':
+                schedule_config[self.laborious_namespace][pipeline['schedule_name']
+                                                          ] = {
+                    **minimal_retrain(pipeline),
+                    "updated_at": pipeline.get(
+                        "updated_at", datetime.now().strftime(DEFAULT_DATE_FORMAT))
+                }
 
         self.info("Processed schedules", metadata=metadata)
         self.debug(json.dumps(

samples.json

@@ -120,6 +120,16 @@
             ],
             "active": true,
             "updated_at": "2025-07-14 10:00:00.000000"
+          },
+        "3": {
+            "schedule_name": "minimal-retrain-pipeline",
+            "model_id": "1",
+            "workflow_type": "minimal_retrain",
+            "frequency": "5m",
+            "max_retry_policy": 1,
+            "query": "select * from sientia_data.laborious_data order by \"timestamp\" desc limit 30;",
+            "active": true,
+            "updated_at": "2025-07-23 10:00:00.000000"
         }
     },
     "opc-servers": {