# app/internal/incident_correlator.py

- *`correlate_call`* — added units and vehicles optional params; when provided (per-scene from intelligence extraction), they take priority over the merged call-document values, preventing multi-scene unit contamination
- *Cross-TGID correlation path (2.5)* — *new path between location and slow paths*: when a call shares 2+ unit IDs with a recent same-system, same-type incident AND embedding similarity ≥ 0.85, it links them — catches multi-talkgroup pursuits like the bicycle search that split across dispatch/tactical/geographic channels
# `app/internal/intelligence.py`
- *`reassignment` field* — added to the GPT-4o-mini prompt schema and rules; `true` when dispatch is actively pulling a unit to a new, different call (not a status update or en route acknowledgement); returned in every processed scene dict
- *Tag location rule* — added explicit instruction to the prompt: tags must describe what happened, not where; place names, road names, and talkgroup names are explicitly forbidden as tags
# `app/routers/upload.py`
- Both scene correlation call sites (`_run_extraction_pipeline` and `_run_intelligence_pipeline`) now pass `units=corr_units` where `corr_units = [] if scene.get("reassignment") else scene.get("units") `— suppresses unit overlap matching when a unit is being reassigned to a new call, preventing chaining into their previous incident
- Both sites also pass `vehicles=scene.get("vehicles")` (per-scene vehicles, from the multi-scene units fix)
# `app/config.py`
- `embedding_cross_tg_threshold: float = 0.85` — threshold for the new cross-TGID path

drb-c2-core/app/routers/upload.py

@@ -110,6 +110,9 @@ async def _run_extraction_pipeline(
     all_tags: list[str] = []
     for scene in scenes:
         all_tags.extend(scene["tags"])
+        # When dispatch is pulling a unit to a NEW call (reassignment), suppress unit
+        # overlap so the new scene doesn't chain into the unit's previous incident.
+        corr_units = [] if scene.get("reassignment") else scene.get("units")
         incident_id = await incident_correlator.correlate_call(
             call_id=call_id,
             node_id=node_id,
@@ -120,6 +123,8 @@ async def _run_extraction_pipeline(
             incident_type=scene["incident_type"],
             location=scene["location"],
             location_coords=scene["location_coords"],
+            units=corr_units,
+            vehicles=scene.get("vehicles"),
         )
         if incident_id and incident_id not in incident_ids:
             incident_ids.append(incident_id)
@@ -206,6 +211,7 @@ async def _run_intelligence_pipeline(
     if flags["correlation_enabled"]:
         for scene in scenes:
             all_tags.extend(scene["tags"])
+            corr_units = [] if scene.get("reassignment") else scene.get("units")
             incident_id = await incident_correlator.correlate_call(
                 call_id=call_id,
                 node_id=node_id,
@@ -216,6 +222,8 @@ async def _run_intelligence_pipeline(
                 incident_type=scene["incident_type"],
                 location=scene["location"],
                 location_coords=scene["location_coords"],
+                units=corr_units,
+                vehicles=scene.get("vehicles"),
             )
             if incident_id and incident_id not in incident_ids:
                 incident_ids.append(incident_id)