Updates, big updates

incident_correlator.py — full rewrite: always runs on every call, fetches all active incidents cross-type, fast path collects all talkgroup matches and disambiguates by unit/vehicle overlap → location proximity → embedding, new location proximity path, slow path requires location corroboration, "Auto:" stripped from titles, "auto-generated" tag added, units/vehicles now accumulated on update
intelligence.py — resolved field in GPT schema, returned as 5th value
upload.py — both pipelines unpack 5-tuple, always call correlate, auto-resolve on resolved=True
summarizer.py — stale sweep runs each tick, resolves incidents idle for 90+ minutes
config.py — correlation_window_hours=2, embedding_similarity_threshold=0.93, location_proximity_km=0.5, incident_auto_resolve_minutes=90

drb-c2-core/app/config.py

@@ -22,9 +22,11 @@ class Settings(BaseSettings):
 
     # Gemini (intelligence extraction, embeddings, incident summaries)
     gemini_api_key: Optional[str] = None
-    summary_interval_minutes: int = 2        # how often the summary loop runs
-    correlation_window_hours: int = 1        # how far back to look for matching incidents
-    embedding_similarity_threshold: float = 0.82  # cosine similarity cutoff for slow-path match
+    summary_interval_minutes: int = 2          # how often the summary loop runs
+    correlation_window_hours: int = 2          # slow/location path: max hours since last call
+    embedding_similarity_threshold: float = 0.93  # slow-path cosine threshold (tiebreaker only)
+    location_proximity_km: float = 0.5        # radius for location-proximity matching
+    incident_auto_resolve_minutes: int = 90   # auto-resolve after N minutes with no new calls
 
     # Internal service key — allows server-side services (discord bot) to call C2 without Firebase
     service_key: Optional[str] = None