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ef1e3d7f9d | ||
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c1c3e89e1d |
@@ -108,16 +108,31 @@ _ROAD_RE = re.compile(
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)
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# Street-type synonyms collapsed to one token so "Mohegan Park Avenue" and
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# "Mohegan Park Ave" produce the same road id (server-26#115 — that one
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# difference was splitting a car-alarm incident into two).
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_ROAD_SUFFIX_CANON = {
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"avenue": "ave", "street": "st", "road": "rd", "drive": "dr",
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"boulevard": "blvd", "lane": "ln", "court": "ct", "place": "pl",
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"highway": "hwy", "parkway": "pkwy",
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}
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def _extract_road_ids(text: str) -> set[str]:
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"""
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Extract normalised road/route identifiers from a location string.
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e.g. "suspect east on Route 202" → {"route 202"}
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"at Main Street and Oak Ave" → {"main street", "oak ave"}
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"at Main Street and Oak Ave" → {"main st", "oak ave"}
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"""
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return {
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re.sub(r"[\s.\-]+", " ", m.group().lower()).strip()
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for m in _ROAD_RE.finditer(text)
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}
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ids: set[str] = set()
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for m in _ROAD_RE.finditer(text):
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key = re.sub(r"[\s.\-]+", " ", m.group().lower()).strip()
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parts = key.split()
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if parts and parts[-1] in _ROAD_SUFFIX_CANON:
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parts[-1] = _ROAD_SUFFIX_CANON[parts[-1]]
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key = " ".join(parts)
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ids.add(key)
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return ids
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def _location_mentions_road_overlap(new_location: str, inc_mentions: list[str]) -> bool:
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@@ -670,6 +685,7 @@ async def correlate_call(
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reassignment: bool = False,
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embedding: Optional[list] = None,
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severity: Optional[str] = None,
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transcript: Optional[str] = None,
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) -> Optional[str]:
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"""
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Link call_id to an existing incident or create a new one.
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@@ -686,7 +702,7 @@ async def correlate_call(
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system_id=system_id, talkgroup_id=talkgroup_id, talkgroup_name=talkgroup_name,
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tags=tags, incident_type=incident_type, location=location,
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reassignment=reassignment, create_if_new=create_if_new,
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embedding=embedding, severity=severity,
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embedding=embedding, severity=severity, transcript=transcript,
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)
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decision = _run_decision(ctx)
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return await _apply_and_log(decision, ctx)
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@@ -710,6 +726,7 @@ async def preview_correlation(
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reassignment: bool = False,
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embedding: Optional[list] = None,
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severity: Optional[str] = None,
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transcript: Optional[str] = None,
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) -> dict:
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"""
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Run the rules engine and return the decision WITHOUT committing to Firestore.
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@@ -730,7 +747,7 @@ async def preview_correlation(
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system_id=system_id, talkgroup_id=talkgroup_id, talkgroup_name=talkgroup_name,
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tags=tags, incident_type=incident_type, location=location,
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reassignment=reassignment, create_if_new=create_if_new,
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embedding=embedding, severity=severity,
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embedding=embedding, severity=severity, transcript=transcript,
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)
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decision = _run_decision(ctx)
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return {"decision": decision, "ctx": ctx}
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@@ -765,6 +782,7 @@ async def _build_context(
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create_if_new: bool,
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embedding: Optional[list] = None,
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severity: Optional[str] = None,
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transcript: Optional[str] = None,
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) -> dict:
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now = reference_time or datetime.now(timezone.utc)
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window = timedelta(hours=settings.correlation_window_hours)
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@@ -804,6 +822,13 @@ async def _build_context(
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call_vehicles = vehicles if vehicles is not None else (call_doc.get("vehicles") or [])
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call_cleared = cleared_units if cleared_units is not None else (call_doc.get("cleared_units") or [])
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call_severity = severity or "routine"
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# The transcript the LLM correlation tier reasons over. Prefer the SCENE's
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# own words (server-26#102) — passed by upload.py's scene loop — and fall
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# back to the call doc only when no scene text was supplied (the
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# recorrelation sweep, and single-scene calls where the two are identical).
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# Without this, every non-primary scene of a multi-scene call was judged by
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# the LLM against a transcript containing the OTHER scenes.
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scene_transcript = transcript or call_doc.get("transcript_corrected") or call_doc.get("transcript")
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# A string that is not a place is not a location anywhere downstream — not
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# in the fit tests, not in the thin-call test, not in the LLM prompt, and
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# not on the incident. Its coordinates go with it: coords are geocoded
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@@ -826,6 +851,7 @@ async def _build_context(
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return {
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"call_id": call_id, "org_id": org_id, "all_active": all_active, "recent": recent,
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"call_doc": call_doc, "call_embedding": call_embedding,
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"scene_transcript": scene_transcript,
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"call_units": call_units, "call_vehicles": call_vehicles,
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"call_cleared": call_cleared, "call_severity": call_severity,
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"coords": coords, "is_thin_call": is_thin_call, "now": now,
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@@ -172,7 +172,7 @@ async def extract_scenes(
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Each scene dict contains:
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tags, incident_type, location, location_coords, resolved,
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severity, vehicles, units, transcript_corrected,
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severity, vehicles, units, transcript, transcript_corrected,
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segment_indices, embedding
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Side-effect: updates calls/{call_id} in Firestore with merged tags,
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@@ -337,6 +337,10 @@ async def extract_scenes(
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)
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embedding = await asyncio.to_thread(_sync_embed, scene_text)
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scene_transcript = _scene_transcript_text(
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transcript, segments, segment_indices, transcript_corrected
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)
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processed.append({
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"tags": tags,
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"incident_type": incident_type,
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@@ -348,6 +352,7 @@ async def extract_scenes(
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"severity": severity,
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"resolved": resolved,
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"reassignment": reassignment,
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"transcript": scene_transcript,
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"transcript_corrected": transcript_corrected,
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"segment_indices": segment_indices,
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"embedding": embedding,
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@@ -571,11 +576,49 @@ def _municipality_from_tg(tg_name: Optional[str]) -> Optional[str]:
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def _build_transcript_block(transcript: str, segments: Optional[list[dict]]) -> str:
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"""Format transcript as numbered transmissions if segments are available."""
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if segments and len(segments) > 1:
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lines = [f"{i+1}. [{s['start']}s] {s['text']}" for i, s in enumerate(segments)]
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# 0-based labels, matching the prompt's "0-based indices into the
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# numbered transmissions" — the model echoes these back as
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# `segment_indices`, which _build_scene_embed_text and the per-scene
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# `transcript` (server-26#102) then slice with directly.
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lines = [f"{i}. [{s['start']}s] {s['text']}" for i, s in enumerate(segments)]
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return f"Transmissions ({len(segments)}):\n" + "\n".join(lines)
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return f"Transcript:\n{transcript}"
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def _scene_transcript_text(
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transcript: str,
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segments: Optional[list[dict]],
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segment_indices: Optional[list[int]],
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transcript_corrected: Optional[str],
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) -> str:
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"""
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This scene's own words, unprefixed — the segments it owns, joined.
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server-26#102: the correlator's LLM tier reads this per scene instead of
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the call doc's whole-call transcript, so on a multi-scene call scene N is
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no longer judged against scenes 1..N-1's text.
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Never returns "". Anything that would leave the slice empty — no
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`segment_indices` (a single-segment call is never numbered by
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`_build_transcript_block`), or indices that are out of range / not ints —
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falls back to the whole-call transcript, which for a single-scene call is
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the same text and for a mis-sliced multi-scene call is at least this
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call's own words. `_sync_extract`'s prompt documents 0-based indices and
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`_build_transcript_block` numbers to match, so no base normalisation here.
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"""
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if transcript_corrected:
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return transcript_corrected
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if segments and segment_indices:
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joined = " ".join(
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segments[i]["text"]
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for i in segment_indices
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if isinstance(i, int) and 0 <= i < len(segments)
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)
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if joined:
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return joined
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return transcript
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def _build_scene_embed_text(
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transcript: str,
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segments: Optional[list[dict]],
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@@ -45,7 +45,18 @@ def _fmt_idle(inc: dict, now: datetime) -> str:
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def _inc_summary(inc: dict, now: datetime) -> str:
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# server-26#115: the model was given no title and no talkgroup, so it
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# could not tell that "car alarms, Mohegan Park Ave" and "car alarms,
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# Mohegan Park Avenue" on the same channel were one incident — it defaulted
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# to "new". Title is the single strongest human-readable signal for "is
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# this the same event"; talkgroup is what makes same-channel continuation
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# obvious.
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parts = [f"id:{inc['incident_id']}", f"type:{inc.get('type') or '?'}"]
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tgs = inc.get("talkgroup_ids") or []
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if tgs:
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parts.append(f"tg:[{', '.join(str(t) for t in tgs[:3])}]")
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if inc.get("title"):
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parts.append(f"title:{inc['title']!r}")
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if inc.get("location"):
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parts.append(f"loc:{inc['location']}")
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units = inc.get("units") or []
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@@ -61,7 +72,13 @@ def _inc_summary(inc: dict, now: datetime) -> str:
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def _call_block(ctx: dict) -> str:
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lines = []
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call_doc = ctx["call_doc"]
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transcript = call_doc.get("transcript_corrected") or call_doc.get("transcript")
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# The SCENE's own transcript, resolved in _build_context (server-26#102).
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# Falls back to the call doc for a ctx built without a scene (tests, sweep).
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transcript = (
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ctx.get("scene_transcript")
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or call_doc.get("transcript_corrected")
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or call_doc.get("transcript")
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)
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if transcript:
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lines.append(f"Transcript: {transcript[:700]}")
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if ctx["tags"]:
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@@ -74,19 +91,50 @@ def _call_block(ctx: dict) -> str:
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lines.append(f"Units: {ctx['call_units']}")
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if ctx["call_vehicles"]:
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lines.append(f"Vehicles: {ctx['call_vehicles']}")
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if ctx["talkgroup_name"]:
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lines.append(f"Talkgroup: {ctx['talkgroup_name']}")
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if ctx["talkgroup_name"] or ctx.get("talkgroup_id") is not None:
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# Both the name and the id — _inc_summary emits numeric tg ids, so the
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# id is what makes the "same talkgroup" rule in _RULES evaluable
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# (server-26#115 review).
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tgid = ctx.get("talkgroup_id")
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name = ctx["talkgroup_name"] or "?"
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lines.append(f"Talkgroup: {name}" + (f" (id {tgid})" if tgid is not None else ""))
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return "\n".join(lines) if lines else "(no details)"
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def _prompt_incidents(recent: list[dict]) -> list[dict]:
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"""The ≤20 candidates shown to the model, most-recently-active first.
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`ctx["recent"]` is an unordered slice of a Firestore result with no
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order_by, so a busy 2h window (~40 active incidents) meant the model saw
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an arbitrary half of the candidates (server-26#115 review). Sorting by
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updated_at desc also makes each row's `idle:` field monotonic.
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"""
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def _key(inc: dict):
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return str(inc.get("updated_at") or inc.get("started_at") or "")
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return sorted(recent, key=_key, reverse=True)[:20]
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_SCHEMA = '{"action": "link" | "new" | "orphan", "incident_id": "<id_string or null>", "reasoning": "<one sentence>"}'
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_RULES = """
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Rules:
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- "link" only with clear positive evidence: same units, same geocoded location, or semantically identical scene on the same talkgroup within the last few minutes.
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- A call on a DIFFERENT talkgroup than an incident requires unit overlap or geocoded location match — topic similarity alone is not enough.
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- "new" only if the call has a clear incident_type AND describes a distinct, identifiable scene.
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- "orphan" when in doubt — conservative is always correct.
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Rules (this system OVER-SPLITS — a real incident routinely gets shattered into
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5-10 duplicates. A wrong link is cheap; a duplicate incident is the failure
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mode. Bias accordingly.):
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- Prefer "link" when the call plausibly continues a recent incident ON THE SAME
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TALKGROUP: same or overlapping units, the same or an adjacent location (treat
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"Ave"/"Avenue", "St"/"Street", "Rd"/"Road" as identical; a house number plus
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the same street is the same place), the same subject/vehicle/case number, or a
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follow-up beat ("units clearing", "negative contact", "tow en route", "event
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number 214-201", a status update) to an incident that is only a few minutes
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idle. The bar for "link" on the same talkgroup is LOW.
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- Reserve "new" for a call that clearly describes a DIFFERENT event from every
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recent incident — a different place, different units, and a different subject,
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not merely a different transmission about the same job.
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- "orphan" a call that is not an incident at all: radio checks, roll call,
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a unit marking on/off duty or 10-8/10-98, mileage/log entries, a bare
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acknowledgement. Do not open a "new" incident for these.
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- A call on a DIFFERENT talkgroup than an incident still requires unit overlap
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or a geocoded/location match — topic similarity alone is not enough there.
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- Do NOT link just because both calls involve police or both mention a road.
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"""
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@@ -95,7 +143,7 @@ def _build_decide_prompt(ctx: dict) -> str:
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now = ctx["now"]
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recent = ctx["recent"]
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inc_block = (
|
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"\n".join(_inc_summary(inc, now) for inc in recent[:20])
|
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"\n".join(_inc_summary(inc, now) for inc in _prompt_incidents(recent))
|
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if recent else "(none)"
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)
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return (
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@@ -113,7 +161,7 @@ def _build_tiebreak_prompt(rules_decision: dict, llm_decision: dict, ctx: dict)
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now = ctx["now"]
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recent = ctx["recent"]
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inc_block = (
|
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"\n".join(_inc_summary(inc, now) for inc in recent[:20])
|
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"\n".join(_inc_summary(inc, now) for inc in _prompt_incidents(recent))
|
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if recent else "(none)"
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)
|
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|
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@@ -108,6 +108,7 @@ async def _recorrelate_orphan(call: dict) -> bool:
|
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cleared_units = call.get("cleared_units") or [],
|
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embedding = call.get("embedding"),
|
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severity = call.get("severity"),
|
||||
transcript = call.get("transcript_corrected") or call.get("transcript"),
|
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reference_time = started_at, # anchor window to when the call happened
|
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create_if_new = False, # never create — link-only
|
||||
)
|
||||
|
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@@ -116,6 +116,7 @@ async def _correlate_with_consensus(
|
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reassignment: bool = False,
|
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embedding: Optional[list] = None,
|
||||
severity: Optional[str] = None,
|
||||
transcript: Optional[str] = None,
|
||||
) -> Optional[str]:
|
||||
"""
|
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Consensus correlator: runs the rules engine and the cheap LLM in sequence.
|
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@@ -133,7 +134,7 @@ async def _correlate_with_consensus(
|
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tags=tags, incident_type=incident_type, location=location,
|
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location_coords=location_coords, units=units, vehicles=vehicles,
|
||||
cleared_units=cleared_units, reassignment=reassignment,
|
||||
embedding=embedding, severity=severity,
|
||||
embedding=embedding, severity=severity, transcript=transcript,
|
||||
)
|
||||
ctx = preview["ctx"]
|
||||
rules_decision = preview["decision"]
|
||||
@@ -226,6 +227,7 @@ async def _run_extraction_pipeline(
|
||||
reassignment=is_reassignment,
|
||||
embedding=scene.get("embedding"),
|
||||
severity=scene.get("severity"),
|
||||
transcript=scene.get("transcript"),
|
||||
)
|
||||
if incident_id and incident_id not in incident_ids:
|
||||
incident_ids.append(incident_id)
|
||||
@@ -343,6 +345,7 @@ async def _run_intelligence_pipeline(
|
||||
reassignment=is_reassignment,
|
||||
embedding=scene.get("embedding"),
|
||||
severity=scene.get("severity"),
|
||||
transcript=scene.get("transcript"),
|
||||
)
|
||||
if incident_id and incident_id not in incident_ids:
|
||||
incident_ids.append(incident_id)
|
||||
|
||||
@@ -0,0 +1,67 @@
|
||||
"""
|
||||
server-26#115 — the tiebreaker manufactured incidents because it was blind to
|
||||
what would tell it two incidents are one.
|
||||
|
||||
Two low-risk supports for the reframed prompt:
|
||||
1. `_extract_road_ids` collapses street-type synonyms, so "Mohegan Park Ave"
|
||||
and "Mohegan Park Avenue" share a road id (they were splitting one
|
||||
car-alarm incident into two).
|
||||
2. `_inc_summary` now carries the incident title and talkgroup, the two
|
||||
signals the model needs to recognise a same-channel continuation.
|
||||
"""
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from app.internal.incident_correlator import (
|
||||
_extract_road_ids, _location_mentions_road_overlap,
|
||||
)
|
||||
from app.internal.llm_correlator import _inc_summary, _prompt_incidents
|
||||
|
||||
NOW = datetime(2026, 9, 7, 8, 0, 0, tzinfo=timezone.utc)
|
||||
|
||||
|
||||
def test_avenue_and_ave_are_the_same_road_id():
|
||||
assert _extract_road_ids("Mohegan Park Avenue") == _extract_road_ids("Mohegan Park Ave")
|
||||
assert _extract_road_ids("191 Broadway Street") == _extract_road_ids("191 Broadway St")
|
||||
assert _extract_road_ids("North State Road") == _extract_road_ids("North State Rd")
|
||||
|
||||
|
||||
def test_road_overlap_matches_across_the_synonym():
|
||||
assert _location_mentions_road_overlap("multiple car alarms Mohegan Park Avenue",
|
||||
["patrol to Mohegan Park Ave"]) is True
|
||||
# still discriminates genuinely different streets
|
||||
assert _location_mentions_road_overlap("Oak Avenue", ["Elm Avenue"]) is False
|
||||
|
||||
|
||||
def test_inc_summary_carries_title_and_talkgroup():
|
||||
s = _inc_summary({
|
||||
"incident_id": "abc123",
|
||||
"type": "police",
|
||||
"talkgroup_ids": [9560],
|
||||
"title": "Nuisance Alarm at Mohegan Park Ave",
|
||||
"location": "Mohegan Park Ave",
|
||||
"units": ["Headquarters"],
|
||||
"tags": ["car-alarm"],
|
||||
"updated_at": NOW.isoformat(),
|
||||
}, NOW)
|
||||
assert "title:'Nuisance Alarm at Mohegan Park Ave'" in s
|
||||
assert "tg:[9560]" in s
|
||||
assert "id:abc123" in s
|
||||
|
||||
|
||||
def test_inc_summary_omits_missing_optional_fields():
|
||||
s = _inc_summary({"incident_id": "x", "updated_at": NOW.isoformat()}, NOW)
|
||||
assert "title:" not in s and "tg:" not in s and "loc:" not in s
|
||||
assert s.startswith("id:x")
|
||||
|
||||
|
||||
def test_prompt_incidents_is_most_recently_active_first_and_capped():
|
||||
recent = [
|
||||
{"incident_id": f"i{n}", "updated_at": f"2026-09-07T0{n}:00:00+00:00"}
|
||||
for n in range(1, 8)
|
||||
]
|
||||
ordered = _prompt_incidents(recent)
|
||||
assert [i["incident_id"] for i in ordered] == ["i7", "i6", "i5", "i4", "i3", "i2", "i1"]
|
||||
assert len(_prompt_incidents(recent * 5)) == 20
|
||||
# falls back to started_at when updated_at is absent, and never raises
|
||||
assert _prompt_incidents([{"incident_id": "a", "started_at": NOW.isoformat()},
|
||||
{"incident_id": "b"}])[0]["incident_id"] == "a"
|
||||
@@ -304,6 +304,39 @@ async def test_a_scene_is_judged_on_its_own_embedding_and_severity():
|
||||
assert ctx["call_severity"] == "major"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_the_llm_tier_reads_the_scene_transcript_not_the_whole_call():
|
||||
"""
|
||||
server-26#102. intelligence.py writes only the primary scene's corrected
|
||||
text to calls/{id}. _call_block (the LLM correlation prompt) must reason
|
||||
over the SCENE being correlated, not a whole-call transcript that also
|
||||
contains the other scenes. _build_context threads the scene's text in;
|
||||
with no scene text it falls back to the call doc (sweep / single-scene).
|
||||
"""
|
||||
with patch("app.internal.incident_correlator.fstore") as mock_fstore:
|
||||
mock_fstore.doc_get = AsyncMock(return_value={
|
||||
"transcript": "scene one about a fire. scene two about a traffic stop.",
|
||||
})
|
||||
mock_fstore.collection_list = AsyncMock(return_value=[])
|
||||
scene = await _build_context(
|
||||
call_id="call-1", units=None, vehicles=None, cleared_units=None,
|
||||
location_coords=None, reference_time=NOW,
|
||||
system_id="sys-1", talkgroup_id=383, talkgroup_name=DISPATCH_TG,
|
||||
tags=[], incident_type="police", location=None,
|
||||
reassignment=False, create_if_new=True,
|
||||
transcript="scene two about a traffic stop.",
|
||||
)
|
||||
fallback = await _build_context(
|
||||
call_id="call-1", units=None, vehicles=None, cleared_units=None,
|
||||
location_coords=None, reference_time=NOW,
|
||||
system_id="sys-1", talkgroup_id=383, talkgroup_name=DISPATCH_TG,
|
||||
tags=[], incident_type="police", location=None,
|
||||
reassignment=False, create_if_new=True,
|
||||
)
|
||||
assert scene["scene_transcript"] == "scene two about a traffic stop."
|
||||
assert fallback["scene_transcript"] == "scene one about a fire. scene two about a traffic stop."
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_a_bare_number_never_becomes_an_incident_location_or_title():
|
||||
inc = await _create(tags=["flames"], location="49", coords=None,
|
||||
|
||||
@@ -0,0 +1,40 @@
|
||||
"""
|
||||
server-26#102 — a scene is correlated on its OWN transcript, not the whole call.
|
||||
|
||||
_scene_transcript_text slices the segments a scene owns. It must never return
|
||||
"" (an empty slice would let incident_correlator._build_context fall back to
|
||||
the call doc's whole-call transcript, re-opening the leak in exactly the case
|
||||
— bad indices — where it matters).
|
||||
"""
|
||||
from app.internal.intelligence import _scene_transcript_text
|
||||
|
||||
SEGS = [
|
||||
{"text": "structure fire, 12 Main"},
|
||||
{"text": "engine 4 responding"},
|
||||
{"text": "traffic stop, plate ABC"},
|
||||
{"text": "one occupant"},
|
||||
]
|
||||
WHOLE = "structure fire, 12 Main engine 4 responding traffic stop, plate ABC one occupant"
|
||||
|
||||
|
||||
def test_scene_owns_a_subset_of_segments():
|
||||
assert _scene_transcript_text(WHOLE, SEGS, [0, 1], None) == "structure fire, 12 Main engine 4 responding"
|
||||
assert _scene_transcript_text(WHOLE, SEGS, [2, 3], None) == "traffic stop, plate ABC one occupant"
|
||||
|
||||
|
||||
def test_corrected_text_wins_when_present():
|
||||
assert _scene_transcript_text(WHOLE, SEGS, [0], "cleaned up text") == "cleaned up text"
|
||||
|
||||
|
||||
def test_no_segment_indices_falls_back_to_whole_call():
|
||||
# single-segment calls are never numbered by _build_transcript_block → null indices
|
||||
assert _scene_transcript_text(WHOLE, SEGS, None, None) == WHOLE
|
||||
assert _scene_transcript_text(WHOLE, None, [0, 1], None) == WHOLE
|
||||
|
||||
|
||||
def test_out_of_range_or_nonint_indices_fall_back_never_empty():
|
||||
assert _scene_transcript_text(WHOLE, SEGS, [9, 10], None) == WHOLE # all out of range
|
||||
assert _scene_transcript_text(WHOLE, SEGS, ["1", "2"], None) == WHOLE # 1-based strings, rejected
|
||||
assert _scene_transcript_text(WHOLE, SEGS, [-1], None) == WHOLE # negative
|
||||
# partial validity: keep what's in range
|
||||
assert _scene_transcript_text(WHOLE, SEGS, [3, 99], None) == "one occupant"
|
||||
@@ -100,6 +100,7 @@ export default function IncidentDetailPage() {
|
||||
const displayTags = incident.tags.filter((t) => t !== "auto-generated");
|
||||
const unitsActive = incident.units_active ?? incident.units ?? [];
|
||||
const unitsCleared = incident.units_cleared ?? [];
|
||||
const vehicles = incident.vehicles ?? [];
|
||||
const active = incident.status === "active";
|
||||
|
||||
const visible = newestFirst.slice(0, earlierShown);
|
||||
@@ -213,11 +214,11 @@ export default function IncidentDetailPage() {
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{incident.vehicles?.length > 0 && (
|
||||
{vehicles.length > 0 && (
|
||||
<div>
|
||||
<p className="text-xs text-ink-muted uppercase tracking-wide mb-2">Vehicles</p>
|
||||
<div className="flex flex-wrap gap-1">
|
||||
{incident.vehicles.map((v) => (
|
||||
{vehicles.map((v) => (
|
||||
<span key={v} className="text-xs bg-raised text-ink-2 px-2 py-0.5 rounded font-mono">{v}</span>
|
||||
))}
|
||||
</div>
|
||||
|
||||
@@ -60,7 +60,7 @@ function DiscordJoinModal({
|
||||
<div className="fixed inset-0 bg-black/60 flex items-center justify-center z-50 p-4">
|
||||
<form
|
||||
onSubmit={handleSubmit}
|
||||
className="bg-gray-900 border border-gray-700 rounded-xl p-6 space-y-4 font-mono w-full max-w-sm"
|
||||
className="bg-gray-900 border border-gray-700 rounded-xl p-6 space-y-4 font-mono w-full max-w-sm max-h-[90vh] overflow-y-auto"
|
||||
>
|
||||
<h3 className="text-white font-semibold">Join Discord Voice</h3>
|
||||
<div>
|
||||
|
||||
@@ -42,7 +42,7 @@ export default function NodesPage() {
|
||||
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-4">
|
||||
{pending.map((n) => (
|
||||
<div key={n.node_id} onClick={() => setConfigNode(n)} className="cursor-pointer">
|
||||
<NodeCard node={n} system={systemMap[n.assigned_system_id ?? ""]} />
|
||||
<NodeCard node={n} system={systemMap[n.assigned_system_id ?? ""]} linkToDetail={false} />
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
|
||||
@@ -22,7 +22,9 @@ function TripCard({ trip, isAdmin, onDelete }: {
|
||||
}) {
|
||||
const router = useRouter();
|
||||
const today = new Date().toISOString().slice(0, 10);
|
||||
const upcoming = trip.start_date >= today;
|
||||
// Bucket and badge must agree: the list groups on end_date (page.tsx ~L176),
|
||||
// so a trip isn't "Past" until it's over, not when it starts.
|
||||
const upcoming = trip.end_date >= today;
|
||||
const attendeeCount = Object.keys(trip.attendees ?? {}).length;
|
||||
|
||||
return (
|
||||
@@ -97,10 +99,10 @@ function CreateModal({ onClose, onCreate }: {
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="fixed inset-0 bg-black/60 flex items-center justify-center z-50">
|
||||
<div className="fixed inset-0 bg-black/60 flex items-center justify-center z-50 p-4">
|
||||
<form
|
||||
onSubmit={handleSubmit}
|
||||
className="bg-gray-900 border border-gray-700 rounded-xl p-6 w-full max-w-md space-y-4"
|
||||
className="bg-gray-900 border border-gray-700 rounded-xl p-6 w-full max-w-md space-y-4 max-h-[90vh] overflow-y-auto"
|
||||
>
|
||||
<h2 className="text-white font-bold">New Trip</h2>
|
||||
|
||||
|
||||
@@ -23,7 +23,7 @@ function fmtClock(s: number): string {
|
||||
return `${m}:${r.toString().padStart(2, "0")}`;
|
||||
}
|
||||
|
||||
function InlinePlayer({ callId, hasAudio }: { callId: string; hasAudio: boolean }) {
|
||||
function InlinePlayer({ callId }: { callId: string }) {
|
||||
const [url, setUrl] = useState<string | null>(null);
|
||||
const [error, setError] = useState(false);
|
||||
const [loading, setLoading] = useState(false);
|
||||
@@ -32,8 +32,6 @@ function InlinePlayer({ callId, hasAudio }: { callId: string; hasAudio: boolean
|
||||
const [duration, setDuration] = useState(0);
|
||||
const audioRef = useRef<HTMLAudioElement | null>(null);
|
||||
|
||||
if (!hasAudio) return null;
|
||||
|
||||
async function ensureUrl() {
|
||||
if (url || loading) return;
|
||||
setLoading(true);
|
||||
@@ -169,7 +167,7 @@ export function CallSpineEntry({
|
||||
|
||||
{hasAudio && (
|
||||
<div className="mt-1.5">
|
||||
<InlinePlayer callId={call.call_id} hasAudio={hasAudio} />
|
||||
<InlinePlayer callId={call.call_id} />
|
||||
</div>
|
||||
)}
|
||||
|
||||
|
||||
@@ -5,15 +5,20 @@ import type { NodeRecord, SystemRecord } from "@/lib/types";
|
||||
interface Props {
|
||||
node: NodeRecord;
|
||||
system?: SystemRecord;
|
||||
/**
|
||||
* When false, the card renders without its `/nodes/[id]` Link wrapper so a
|
||||
* parent click handler can take the interaction (pending nodes open the
|
||||
* config modal instead of navigating). Defaults to true.
|
||||
*/
|
||||
linkToDetail?: boolean;
|
||||
}
|
||||
|
||||
export function NodeCard({ node, system }: Props) {
|
||||
export function NodeCard({ node, system, linkToDetail = true }: Props) {
|
||||
const lastSeen = node.last_seen
|
||||
? new Date(node.last_seen).toLocaleTimeString()
|
||||
: "never";
|
||||
|
||||
return (
|
||||
<Link href={`/nodes/${node.node_id}`}>
|
||||
const body = (
|
||||
<div className="bg-gray-900 border border-gray-800 rounded-lg p-4 hover:border-gray-600 transition-colors cursor-pointer">
|
||||
<div className="flex items-start justify-between mb-3">
|
||||
<div>
|
||||
@@ -58,6 +63,7 @@ export function NodeCard({ node, system }: Props) {
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</Link>
|
||||
);
|
||||
|
||||
return linkToDetail ? <Link href={`/nodes/${node.node_id}`}>{body}</Link> : body;
|
||||
}
|
||||
|
||||
@@ -50,8 +50,8 @@ export function NodeConfigModal({ node, systems, onClose }: Props) {
|
||||
const selectedPreset = PRESETS.find((p) => p.value === preset);
|
||||
|
||||
return (
|
||||
<div className="fixed inset-0 bg-black/70 flex items-center justify-center z-50">
|
||||
<div className="bg-gray-900 border border-gray-700 rounded-xl p-6 w-full max-w-md font-mono">
|
||||
<div className="fixed inset-0 bg-black/70 flex items-center justify-center z-50 p-4">
|
||||
<div className="bg-gray-900 border border-gray-700 rounded-xl p-6 w-full max-w-md font-mono max-h-[90vh] overflow-y-auto">
|
||||
<h2 className="text-white font-semibold mb-1">Configure Node</h2>
|
||||
<p className="text-gray-400 text-sm mb-5">
|
||||
<span className="text-indigo-400">{node.node_id}</span> connected for the first time.
|
||||
|
||||
@@ -143,8 +143,9 @@ export interface IncidentRecord {
|
||||
call_ids: string[];
|
||||
system_ids: string[];
|
||||
talkgroup_ids: string[];
|
||||
units: string[];
|
||||
vehicles: string[];
|
||||
/** Omitted on incident docs written before these fields existed. */
|
||||
units?: string[];
|
||||
vehicles?: string[];
|
||||
/** Units currently believed on scene — maintained by incident_correlator.py `_attach`. */
|
||||
units_active?: string[];
|
||||
/** Units that reported clearing/back in service on this incident. */
|
||||
|
||||
Reference in New Issue
Block a user