feat(application): integrate measured-load ingestion training and planner source

2026-10-02 21:00:05 +00:00
parent 44362e4bf5
commit fc024fcfba
96 changed files with 8933 additions and 0 deletions
@@ -0,0 +1,25 @@
+"""Explicit identity/provenance for the OBSERVATION-ONLY Symcon receiver.
+This is not a dispatch permit and does not make a shadow plan executable locally.
+"""
+from copy import deepcopy
+
+
+def control_context(operation):
+    assets = {}
+    for b in operation['batteries']:
+        rearm = b.get('rearmSocPercent')
+        assets[b['id']] = {
+            'capacityKwh': b['capacityKwh'],
+            'minSocPercent': b['minSocPercent'],
+            'maxSocPercent': b['maxSocPercent'],
+            'physicalMinSocPercent': b.get('physicalMinSocPercent', 0.0),
+            'rearmSocPercent': b['minSocPercent'] if rearm is None else rearm,
+            'gridCharging': b['gridCharging'],
+        }
+    return {'batteries': assets, 'limits': deepcopy(operation['limits'])}
+
+
+def provenance(inputs):
+    # Capture BEFORE optimization. Never attach a newer operation to an older plan.
+    return {'inputRefs': {kind: inputs[kind]['eventId'] for kind in ('operation', 'forecast', 'tariffs')},
+            'controlContext': control_context(inputs['operation'])}