Author SHA1 Message Date
logan e27f8f6636 Merge pull request 'correlator/admin: capture per-scene incident_type + severity (#139)' (#152) from fix/139-scene-incident-type into main
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2026-09-14 00:14:53 -04:00
Logan CusanoandClaude Sonnet 5 f23026b9ab correlator: address drb-correlation-review notes on #139
- Document call_severity's routine-coercion asymmetry with incident_type
  (extraction-said-routine vs extraction-said-nothing look identical).
- Test docstring no longer overclaims the ctx-linkage it doesn't cover;
  points to the tests that do (test_consensus_gate.py, test_incident_identity.py).
- scene1 now uses a distinct severity so the test actually exercises both
  fields symmetrically; the 'no flat top-level clobber' claim is now
  asserted, not just commented.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-14 00:14:32 -04:00
Logan CusanoandClaude Sonnet 5 7717fcccdd correlator/admin: capture per-scene incident_type + severity (#139)
_call_is_substanceless's "type" veto reads ctx["incident_type"] at decision
time, but that value was never persisted per-scene — only the last-scene-wins
flat field, which #138's window-4 dump analysis couldn't tell apart from
cross-scene contamination without re-guessing from a live dump. Adds
incident_type/severity to _apply_and_log's per-scene write and to admin.py's
_scene_summary allowlist (the debug-dump reader has its own field allowlist,
separate from the write side — silently would not have surfaced otherwise).

Sandboxed pytest: 380 -> 381.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-14 00:09:26 -04:00
logan 454fe7e81c Merge pull request 'correlator: remove is_dispatch and the tactical fit path entirely (#134)' (#135) from fix/134-drop-tactical-fit-path into main
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2026-09-13 14:55:04 -04:00
Logan CusanoandClaude Sonnet 5 422e9a4dc8 correlator: fix two comments left describing the removed tactical path (#134)
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-13 14:54:54 -04:00
Logan CusanoandClaude Sonnet 5 b1884852d5 correlator: remove is_dispatch and the tactical fit path entirely (#134)
Full removal, not a hardcoded flag: _is_dispatch_channel, _DISPATCH_TG_RE, the is_dispatch parameter, and _call_fits_incident's tactical branch are gone. One evaluation path for every channel.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-13 14:49:55 -04:00
Logan CusanoandClaude Sonnet 5 0473e6a583 correlator: always run the dispatch-strict fit test, not name-guessed (#134)
is_dispatch was computed from _is_dispatch_channel(talkgroup_name) and picked between two _call_fits_incident evaluation orders: dispatch (requires a positive signal, runs location-conflict/content-divergence vetoes on unit overlap) vs tactical (skips both vetoes, defaults to True on no signal at all within 20 min). Per #133's reasoning, a name not literally containing dispatch/patched/primary got the unvetoed, default-True path solely because of its label. Hardcoded is_dispatch=True at its one real call site; the tactical branch and its own tests stay in place, unreached.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-13 14:38:57 -04:00
logan 4df801c5e0 Merge pull request 'correlator: drop the dispatch/tactical name-guess from the escape hatch (#115)' (#133) from fix/115-drop-dispatch-tactical-split into main
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2026-09-13 14:07:36 -04:00
Logan CusanoandClaude Sonnet 5 c50bfda8db correlator: drop the dispatch/tactical name-guess from the escape hatch, use one window (#115)
Owner correction from direct scanning experience: a talkgroup named tac/tactical only sees materially different traffic during a real incident, and that's rare -- the bulk of traffic on any monitored channel, including high-risk stops and pursuits, runs on the main channel regardless of what it's named. _is_dispatch_channel's string match on the talkgroup name is a naming-convention guess, not a detector of actual channel behavior; trusting it here meant a busy single-channel department not literally named 'dispatch' would silently get the more permissive 15-minute window and could reproduce #115's original bug (the gate never firing on the channels it targets).

Always use tg_dispatch_thin_idle_minutes (5 min) in the escape hatch, regardless of talkgroup name. Does NOT touch incident_correlator.py's own fast/thin idle-window selection, which uses the same dichotomy for a different, decision-changing purpose -- bigger blast radius, left for its own review.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-13 14:07:00 -04:00
logan 833cfade4e Merge pull request 'correlator+summarizer: per-scene call-doc storage, fixes #96 and #114's real fix' (#132) from fix/96-114-per-scene-call-doc into main
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2026-09-13 13:34:19 -04:00
Logan CusanoandClaude Sonnet 5 0fe6d3b567 correlator: delete stale scenes on re-extraction instead of leaving them to rot (#96/#114)
Review of #132 found a blocker: PATCH /calls/{id}/transcript wipes tags/severity/location/units/embedding before re-extraction, but not the new scenes map, and doc_set(merge=True) can only add/overwrite nested map keys, never remove one. A call corrected from 3 scenes to 1 kept scenes.1/scenes.2 with pre-correction transcripts and incident_ids forever -- corrupting the exact per-scene tally #96 exists to make trustworthy, and able to re-feed stale text into #114's summarizer fix if a stale scene's incident_id still names a real incident.

Fix: fstore.doc_update(...,{"scenes": fstore.DELETE_FIELD}) -- a real delete, not a merge over an empty map. Added fstore.DELETE_FIELD (re-exports the real firebase_admin sentinel) and stubbed it in the sandboxed test conftest, which didn't have it. Also softened an overclaiming docstring: the Firestore nested-merge behavior is verified against the doc_set wrapper's pass-through, not against live Firestore.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-13 13:33:52 -04:00
Logan CusanoandClaude Sonnet 5 fae84a45c3 correlator+summarizer: per-scene call-doc storage, fixes #96 and #114's real fix
Every scene of a multi-scene call correlates independently in upload.py's
scene loop, but every scene's corr_debug was written flat onto the same
shared call doc — scene 2's write silently clobbered scene 1's
corr_path/corr_consensus/etc (#96), and summarizer.py read the whole call's
raw transcript per linked call, mixing text from scenes the incident had
nothing to do with, while ignoring transcript_corrected entirely (#114).

Fix: thread a scene_index from both `for scene in scenes:` loops in
upload.py down through _correlate_with_consensus ->
incident_correlator.preview_correlation/correlate_call -> _build_context ->
ctx["scene_index"]. incident_correlator._apply_and_log now writes, in the
same Firestore call:
  - the existing flat corr_* fields, unchanged (last-scene-wins, the safe
    backward-compatible default for any reader that doesn't know about
    `scenes` yet)
  - a new nested `scenes.<scene_index>` entry with {transcript, incident_id,
    corr_debug}, via doc_set(..., merge=True). Firestore's
    DocumentReference.set(data, merge=True) recursively merges nested map
    fields by key (documented SDK behaviour, not assumed) — a write to
    scenes.1 merges alongside an existing scenes.0 instead of replacing the
    whole `scenes` map.
scene_index defaults to 0 for every caller with no scene concept (the
recorrelation sweep, the no-scenes-extracted orphan-check path), so a plain
single-scene call still gets a one-entry `scenes` map equivalent to reading
its flat fields today.

admin.py's _call_summary exposes the new `scenes` list per call (each entry
carrying the same corr_* field names as the flat fields, so the two shapes
are interchangeable to the tally); the summary tally now iterates each
call's scenes-if-present, else its own flat fields, so a 2-scene call with
two different corr_path values counts as two data points instead of one
blend. New `scene_decision_count` sits next to `linked_call_count` to make
that distinction visible.

summarizer.py's _scene_text_for_incident reads a linked call's `scenes` map
to find the scene(s) whose corr_debug recorded a link into the specific
incident being summarized, joining more than one if several scenes landed
in the same incident. Falls back to transcript_corrected-or-transcript for a
call doc with no `scenes` field (predates this change) — the one-liner half
of #114, worth doing regardless since it stops raw-transcript summaries even
for old-schema docs.

Does not touch #80/#95/#102's existing ctx-threading fixes
(embedding/severity/coords/LLM-prompt-transcript) — correct as-is, out of
scope here.

Tests: 14 new (test_per_scene_call_doc.py, test_summarizer_scene_transcript.py,
additions to test_admin_debug_correlation.py) covering the merge shape,
last-scene-wins flat-field backward compat, the admin tally's per-scene vs
per-call counting (including old-schema fallback), and the summarizer's
scene-specific text selection (including old-schema fallback). Full sandboxed
suite: 364 -> 378 passed, all green.

Fixes server-26#96, server-26#114

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-13 13:25:37 -04:00
logan b7701b6d49 Merge pull request 'intelligence: shadow-mode upstream dispatch-vs-chatter classifier (#127)' (#128) from feat/115-chatter-classifier-shadow-mode into main
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2026-09-13 12:43:18 -04:00
Logan CusanoandClaude Sonnet 5 3ae0bb2d5b intelligence: run the chatter classifier before the too-short skip, not after (#127)
82% of the classifier's backtest flags were <=5-word transcripts that already exit at skip_reason=transcript_too_short before the classifier ever ran, so shadow mode was on track to observe roughly a fifth of the real catch rate. Compute the verdict once, ahead of that check, and fold it into whichever doc_set already runs (no extra Firestore write). Also add a chatter_classifier_flagged/reason tally spanning both linked calls AND orphans in admin.py's summary block -- the target population is non-events, which land as orphans or single-call incidents, so linked alone undercounts it the same way corr_gate_veto would have without the #126 fix.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-13 12:42:44 -04:00
logan 76db41adf7 Merge pull request 'ci: prune docker images before AND after deploy, not only on pull failure (#129)' (#130) from fix/129-deploy-disk-prune into main
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2026-09-13 12:28:08 -04:00
Logan CusanoandClaude Sonnet 5 e97dab22ce ci: prune docker images before AND after deploy, not only on pull failure (#129)
The 2026-09-12 deploy of #126 failed instantly -- git pull on the VM hit 'No space left on device' before the deploy script could even capture a rollback target. Every deploy leaves 3 freshly SHA-tagged images that only got cleaned up by a prune gated on a failed compose pull; a failure earlier than that (like this one) never reached it. 96 of 100 local images were unreferenced, 23.76GB reclaimable, disk at 100%.

Move an unconditional docker image prune -af to the top of the deploy, before git pull, and upgrade the post-up -d prune from -f (dangling only) to -af (all unused) so stale tagged images stop re-accumulating. Both are safe: prune -a never touches an image a running container references.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-13 12:27:31 -04:00
Logan CusanoandClaude Sonnet 5 05ddec8284 intelligence: shadow-mode upstream dispatch-vs-chatter classifier (server-26#127)
Three live measurement windows and two consensus-layer fixes (#125, #126)
converged on one decision (CORRELATION_REVIEW_0907b.md, _0912.md): stop
iterating the correlator's consensus layer, the actual lever is upstream —
a classifier in scene extraction that recognizes radio housekeeping (roll
call, bare 10-4/10-8/98 acknowledgements, unit check-ins) before it ever
becomes a scene for the correlator to judge.

Adds app/internal/chatter_classifier.py: a pure classify_chatter(transcript)
function recognizing two shapes drawn from hand-labeled examples in the
review docs, cross-referenced against the real dumps — not invented regexes.
Deliberately conservative: anything that doesn't cleanly reduce to a known
shape returns (False, None) and the existing pipeline runs unchanged.

SHADOW MODE ONLY. intelligence.extract_scenes computes the verdict next to
the existing _is_garbage_transcript / transcript_too_short gates and writes
chatter_classifier_verdict / chatter_classifier_reason onto the call doc,
but does not skip extraction. admin.py's correlation-debug _call_summary
surfaces both fields, same pattern as corr_gate_veto (#115/#126), so the
next live window can measure the real-world false-positive rate before
anything is wired to actually skip extraction. TODO(server-26#127) marks
the call site.

Backtest against all three existing dumps (1002 calls): 154 flagged, 0
false positives (no flagged call carries tags, coords, non-routine severity,
or matches any review-doc-named dangerous-to-drop transcript — the major
extinguishing-fire call, geocoded calls, pursuit updates, the Pelham Station
subject check, the property-retrieval call, all individually verified).

tests/test_chatter_classifier.py: real transcripts from the dumps/review
docs in both directions. Sandboxed pytest 332 -> 364, green.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-12 23:59:53 -04:00
logan 11c98daed0 Merge pull request 'correlator: shrink the same-talkgroup escape hatch from 2h to a few minutes (#115)' (#126) from fix/115-escape-hatch-window into main
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2026-09-12 04:47:49 -04:00
Logan CusanoandClaude Sonnet 5 83beb2bf35 admin: surface corr_gate_veto on the correlation-debug endpoint (#115)
corr_gate_veto was written to corr_debug but the admin endpoint's whitelist (_call_summary + the summary tally) never surfaced it, so the last commit's whole point -- measuring window #4 instead of guessing -- would have produced nothing to read. Add it to both. Also softened the docstring's remaining overclaim: whether the active-only ctx[recent] limitation explains the 2/24 window-3 misses is unanswered, not confirmed -- read corr_gate_veto next window instead of asserting a guess again.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-12 04:47:15 -04:00
Logan CusanoandClaude Sonnet 5 598054746a correlator: mirror the dispatch/tactical idle split in the escape hatch, record the gate-veto reason (#115)
Review of #126 found: (1) the escape hatch applied tg_dispatch_thin_idle_minutes (5 min) unconditionally, but incident_correlator's own fast/thin path only uses that on dispatch channels and 15 min on tactical ones via _is_dispatch_channel -- mirrored the same selection here, plus a config.py note flagging the second consumer. (2) the docstring claimed a 'confirmed explanation' for 2 window-3 gate misses that was actually wrong (self-contradictory in its own text); replaced the guess with corr_gate_veto, written into corr_debug on every llm=orphan/rules=new disagreement that escalates, so window #4 can see *why* each one escaped instead of reconstructing it from the raw dump.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-12 04:42:14 -04:00
Logan CusanoandClaude Sonnet 5 400b74b519 correlator: shrink the same-talkgroup escape hatch from 2h to a few minutes (#115)
_recent_incident_on_same_talkgroup previously treated ANY same-talkgroup
incident within the 2-hour correlation_window_hours lookback as 'recent',
which disabled the whole LLM-orphan consensus gate on busy dispatch
channels: window #3 (CORRELATION_REVIEW_0912.md) measured 0/24 gate fires
against the exact target shape (rules=new, llm=orphan, tiebreak=new), with
22/24 explained by a same-talkgroup incident existing somewhere in the
prior 2h — nearly guaranteed on channels producing 3-13 incidents/2h.

Now the escape hatch only counts an incident as recent within
settings.tg_dispatch_thin_idle_minutes (5 min), reusing the same recency
bound the fast/thin path already uses for the 'dispatch, thin ack 10-30s
later' case this hatch exists for, instead of inventing a new constant.

Investigated the 2 unexplained misses (no same-tg incident found even by
a naive full-collection timestamp scan): confirmed ctx["recent"] is built
from status=="active" incidents with over-capacity incidents dropped
(_build_context / _drop_capped), not a full collection scan — an incident
that has auto-resolved or hit incident_max_calls/incident_max_duration
within the window is invisible to this check even though it is
chronologically recent. This does not explain the 2 misses (a same-tg
incident was absent by both checks there, so some other
_call_is_substanceless condition must be responsible), but it is a real
gap in the check as written. Documented in the docstring with a
TODO(server-26#115); fixing it needs a new, non-active-filtered Firestore
query, out of scope for this pass.

Tests: added a regression test proving an incident inside the old 2h
window but outside the new 5-minute window now correctly gates (fails on
main, passes here), plus a test proving a truly recent (<5min) same-tg
incident still escapes the gate as intended. Sandboxed pytest: 327 -> 329
passed (2 new tests), all green.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-12 04:28:07 -04:00
logan 07ff9ba193 Merge pull request 'correlator: gate LLM-orphan against rules-new instead of escalating to tiebreak (#115)' (#125) from fix/115-consensus-orphan-gate into main
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2026-09-11 23:18:12 -04:00
Logan CusanoandClaude Sonnet 5 15a9d10666 correlator: keep the tiebreak for typed / reassignment calls in the orphan gate (#115)
_call_is_substanceless mirrored has_event_substance but not the creation gate's type-resolved short-circuit, so a routine-severity fire/medical call with no coords/tags/vehicles — or a reassignment (unit pulled to a new job) — could be gated to orphan where rules would open an incident. Bail out of the gate on incident_type or reassignment.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-07 23:57:20 -04:00
Logan CusanoandClaude Sonnet 5 dd426572fc correlator: fix consensus orphan-gate to test call substance, not empty corr_debug (#115)
The gate added in ca1d8fb checked rules_decision["corr_debug"] for a positive
signal, but that dict is empty at preview time for action=="new" (corr_path is
written at apply time). The check was always False, so the gate fired on real
events — replayed against corr_dump_9-7_pm.json it dropped ~36 linked calls
including a major "extinguishing fire", a moderate fire-alarm, geocoded calls
and pursuit updates.

Gate now runs against ctx (fully populated at preview time). It fires ONLY when
the call is substanceless: routine severity, no vehicle/geocode/tag, and no
incident already running on the same talkgroup. Any of those escalates to the
tiebreak instead. The substance predicate (has_event_substance) is factored out
of incident_correlator's creation gate and shared, so the two cannot diverge.

recorrelation_sweep: a call the gate parked gets a longer link-only retry budget
(10 vs 3) — the gate fires before any incident for the job exists, so the
substantive call that justifies linking can land after the standard ~6 min.
Still create_if_new=False.

incident_correlator location path: evaluate every in-radius candidate and link
the nearest that carries corroboration, instead of the first in an unsorted
`recent`. A unit-overlap location link is now tagged "location_unit_overlap" so
it stops merging into the fast path's bucket in the admin fit-signal histogram.

tests/test_consensus_gate.py: replaced the corr_debug-signal cases with ctx
substance cases (severity, coords, tags, vehicles, same-tg incident); added a
nearest-wins location test; the two location guard tests now assert they reach
the new guard. Full drb-c2-core suite 322 -> 325.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-07 23:50:41 -04:00
Logan CusanoandClaude Sonnet 5 ca1d8fbdae correlator: gate LLM-orphan against rules-new instead of escalating to tiebreak (#115)
CORRELATION_REVIEW_0907b.md measured that radio housekeeping (unit
check-ins, roll call, 10-8/10-98 clearings) is being promoted to
incidents. Every case reads corr_llm_action=orphan, corr_rules_action=new,
corr_consensus=tiebreak -> new: the cheap LLM correctly reads "not an
incident", the rules engine says `new` only because there is no incident to
link to, and the smart tiebreaker then sides with rules ~21/21. Reframing
the tiebreaker prompt (#116) did nothing. The fix is a consensus-logic gate,
not another prompt.

Fix 1 (routers/upload.py) - LLM-orphan gate in _correlate_with_consensus:
when the cheap LLM says `orphan` and the rules engine says `new` with NO
positive event signal, resolve to `orphan` and skip the tiebreak call
entirely. "No positive signal" = the rules corr_debug carries neither a
positive corr_path (unit-continuity / location / fast/disambig / fast/single)
nor a positive corr_fit_signal (unit_overlap / location_proximity). When it
does carry one, the existing escalation-to-tiebreak is kept so a genuine
event the LLM misreads as orphan still gets the second look. The resolved
outcome records corr_consensus="llm_orphan_gate" (greppable, distinct from
"tiebreak") and keeps corr_llm_reasoning / corr_rules_action /
corr_llm_action populated.

Fix 2 (incident_correlator.py) - tighten corr_path=location: the location
path linked on a bare sub-location_proximity_km (0.5 km) distance with no
unit or content check, which stitched a vehicle lockout to a station-restroom
slip and merged two different churches an hour apart. A location link now
requires unit overlap with the candidate OR a distance under a tighter bar
(_LOCATION_TIGHT_PROXIMITY_KM = 0.2 km). Pursuit incidents keep their
movement-speed-validated wide radius. A surviving location link now also
writes corr_fit_signal (unit_overlap | location_proximity), consistent with
Fix 1's positive-signal set.

Tests: new tests/test_consensus_gate.py (13 cases) - the gate resolves to
orphan without calling tiebreak on a no-signal disagreement; a unit_overlap /
location_proximity / unit-continuity / fast-disambig rules signal still
escalates; llm=link vs rules=new still escalates; the location path drops a
shared-area candidate with neither unit overlap nor tight proximity, links on
unit overlap, and links on tight proximity alone. Full c2-core suite
309 -> 322 passing.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-07 23:32:52 -04:00
logan 7f4d684966 Merge pull request 'ci: deploy Firestore rules + indexes on every push to main (#51)' (#124) from fix/51-ci-firestore-deploy into main
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Reviewed-on: #124
2026-09-07 23:22:38 -04:00
Logan CusanoandClaude Sonnet 5 bd04bdbd69 firestore: declare DESC indexes for the orderBy(desc) queries (#33/#51)
The old //direction note ('ASC serves orderBy desc') was wrong for these query shapes and left useCalls/useIncidents/useAlerts and search_calls throwing FAILED_PRECONDITION. Declare calls/incidents/alert_events (…, DESC) to match the live DB (indexes created via gcloud 2026-09-08). Drop the misleading 'delete these duplicates' drift note.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-07 23:20:48 -04:00
Logan CusanoandClaude Sonnet 5 775244bbde ci: deploy Firestore rules + indexes on every push to main (#51)
The deploy job SSHes to the VM (which runs as the project service account) but never touched Firestore, so rules and composite indexes regressed silently after every fix. Add a firebase-tools deploy right after `git pull`, additive for indexes, warn-not-fail on error.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-07 19:44:57 -04:00
logan bc3251e8df Merge pull request 'frontend: #109 punch-list P2 — RulesTab effect, node recent-calls window' (#123) from fix/109-punchlist-p2 into main
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2026-09-07 19:06:34 -04:00
logan 7a5bd5dbbb Merge pull request 'map: remove stray clock, unstack incident rail, OSM tile fallback (#118)' (#122) from fix/118-map-overlays into main
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2026-09-07 19:06:30 -04:00
logan 629bd1c340 Merge pull request 'firestore: declare the alert_events composite index (#51)' (#121) from fix/51-alert-events-index into main
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2026-09-07 19:06:28 -04:00
logan cea094d66b Merge pull request 'c2-core: fix CORS so the browser can call the REST API (#110)' (#120) from fix/110-c2-core-cors into main
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2026-09-07 19:06:25 -04:00
logan 01c146e21e Merge pull request 'ci: bake NEXT_PUBLIC_MAP_TILE_URL into the frontend build (#117)' (#119) from fix/117-map-tile-build-arg into main
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2026-09-07 19:06:21 -04:00
Logan CusanoandClaude Sonnet 5 8a0412b529 firestore: add the alert_events composite index (#51)
collectionGroup alert_events (acknowledged, org_id, triggered_at desc) — the index the /watch Triggered Alerts tab and the site-wide useUnacknowledgedAlerts hook require. Still needs a manual deploy; no automation exists (#51).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-07 18:54:10 -04:00
Logan CusanoandClaude Sonnet 5 52edbf105c map: remove stray clock, unstack the incident card from the zoom controls, OSM tile fallback (#118)
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-07 18:53:14 -04:00
Logan CusanoandClaude Sonnet 5 77f1d2f93f frontend: #109 punch-list P2 — effect-guard RulesTab, pending node card modal, org save, node recent-calls filter
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-07 18:52:39 -04:00
Logan CusanoandClaude Sonnet 5 d60fef67ad c2-core: add CORS middleware so the browser can call the REST API (#110)
The Archive page's GET /calls/search failed its CORS preflight (OPTIONS -> 405, no Access-Control-* headers). Allow the app origin(s) explicitly for the standard methods and the authorization/content-type headers.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-07 18:52:38 -04:00
Logan CusanoandClaude Sonnet 5 fe643924c7 ci: bake NEXT_PUBLIC_MAP_TILE_URL into the frontend build (#117)
The map override var was added to MapView.tsx but never passed as a build-arg, so prod still shipped the dead Carto tile URL. Point it at OSM raster tiles.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

Claude-Session: https://claude.ai/code/session_01Tbknwttzou4s46PAykmtix
2026-09-07 18:48:42 -04:00
logan bccb3e0316 correlator: give the LLM tier what it needs to link, stop it defaulting to "new" (#116)
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2026-09-07 16:59:46 -04:00
Logan CusanoandClaude Sonnet 5 1a631d65d0 correlator: address #116 review — call talkgroup id in the prompt, sort candidates
drb-correlation-review: ship, with two bounds the low-bar link rule needs.

1. _call_block emitted only the talkgroup NAME while _inc_summary emits
   numeric tg ids, so the "same talkgroup" precondition in _RULES was
   unevaluable and the low link bar applied unconditionally. _call_block now
   prints "Talkgroup: <name> (id <n>)".
2. ctx["recent"] is an unordered Firestore slice with no order_by; a busy 2h
   window (~40 active incidents) showed the model an arbitrary half of the
   candidates. _prompt_incidents() sorts by updated_at desc before the [:20]
   cap — also makes each row's idle: field monotonic.

+2 tests. Full c2-core suite green (sandboxed venv).

Review follow-ups (not blockers): _parse_response demotes an unresolvable
link to orphan (drops the call) rather than falling back to rules — now on
rising link volume; the 45% tiebreak escalation rate / smart-model cost is
untouched; _ROAD_RE swallows leading tokens so "10 Parker Street" still
won't road-overlap "Parker St".

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-07 16:59:29 -04:00
Logan CusanoandClaude Sonnet 5 3a944f35c1 correlator: give the LLM tier what it needs to link, stop it defaulting to "new" (server-26#115)
The 2026-09-07 measurement window (CORRELATION_REVIEW_0907.md) showed the
consensus tiebreaker was the dominant over-split driver: it ran on 45% of
calls and resolved link/orphan disagreements as "new" ~24/25 of the time,
shattering one Mohegan Park car-alarm job into 9 incidents and opening ~7
incidents from radio checks / roll calls.

Two causes, two fixes:

1. `_inc_summary` gave the model `id|type|loc|units|tags|idle` — no title,
   no talkgroup. It literally could not see that two "car alarms, Mohegan
   Park Ave/Avenue" incidents on TG 9560 were the same. Now includes the
   incident title (the strongest same-event signal) and talkgroup.

2. `_RULES` told the model "orphan when in doubt — conservative is always
   correct". For a system that over-splits, that is backwards: a wrong link
   is cheap, a duplicate incident is the failure. Rewritten to: prefer link
   for a plausible same-talkgroup continuation (low bar), reserve "new" for a
   genuinely different event, and explicitly "orphan" non-incidents (radio
   checks, roll call, 10-8/10-98, mileage logs).

Plus `_extract_road_ids` now canonicalises street-type synonyms
(Avenue→ave, Street→st, Road→rd, ...), so "Mohegan Park Avenue" and
"Mohegan Park Ave" share a road id — that one difference was splitting the
car-alarm incident.

+tests/test_correlator_115.py. Full c2-core suite green (sandboxed venv).
Bigger levers deferred to follow-ups: the consensus escalation itself (should
a cheap-LLM "orphan" ever reach a tiebreak?), a first-class road-overlap fit
signal in _call_fits_incident, geocode coverage.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-07 16:53:03 -04:00
logan 0712e7a437 correlator: LLM tier reads the scene transcript, not the whole call (#112)
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2026-09-07 04:40:34 -04:00
logan a739fa64f0 frontend: safe fixes from the #109 punch-list (#113)
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2026-09-07 00:13:35 -04:00
Logan CusanoandClaude Sonnet 5 7189ba03e4 correlator: address #102 review — 0-based segment labels, never-empty slice
drb-correlation-review on the prior commit flagged two ways the per-scene
transcript could silently fall back to the whole-call text:

1. _build_transcript_block numbered transmissions "1." while the prompt says
   "0-based indices" — a model echoing the labels it saw returned 1-based
   indices, shifting every scene's slice by one. Labels are now "0." to match
   the documented contract (also fixes the same latent skew in
   _build_scene_embed_text / #80).
2. An empty join (bad / out-of-range / non-int indices) hit
   `transcript or call_doc.get(...)` in _build_context and fell back to the
   whole-call transcript — re-opening the leak exactly when indices are wrong.
   The slice now falls back to this call's own whole transcript *before*
   _build_context sees it, so it is never "". Non-int and negative indices
   are rejected rather than raising.

Slice logic extracted to `_scene_transcript_text` with a dedicated test file
(4 cases: subset, corrected-wins, no-indices fallback, bad-indices fallback).
Call-doc fallback kept (sweep / no-scene path) per the review. Also restored
the `-> ` spacing lost in the prior commit's kwarg edit.

Full c2-core suite green: 300 passed (sandboxed venv). Still DO NOT MERGE
until the measurement window closes.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-07 00:12:56 -04:00
Logan CusanoandClaude Sonnet 5 d67b2057e6 frontend: safe fixes from the #109 punch-list
- CallSpineEntry.tsx: drop the dead `hasAudio` prop + the early `return null`
  that sat between hooks in InlinePlayer (React #310 risk). Parent already
  gates the mount on audio presence.
- NodeCard.tsx + nodes/page.tsx: pending-node card no longer double-fires.
  NodeCard gains `linkToDetail` (default true); the pending branch passes
  false so the wrapping onClick (open config modal) isn't swallowed by the
  inner <Link> navigation. List view unchanged.
- trips/page.tsx: TripCard badge now buckets on end_date >= today, matching
  the list's own upcoming/past split — an in-progress trip no longer shows a
  "Past" badge under "Upcoming".
- trips/page.tsx, NodeConfigModal.tsx, nodes/[id]/page.tsx: tall modals get
  `p-4` on the overlay + `max-h-[90vh] overflow-y-auto` on the panel so they
  don't clip on short viewports (incidents' CreateModal pattern).
- lib/types.ts: IncidentRecord.units / vehicles are optional now, matching
  Firestore (older docs omit them); incidents/[id] gains a `?? []` guard.

Untypechecked (no node/npm locally). next build in deploy.yml gates it.
Full list of remaining items in server-26 #109.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-07 00:07:54 -04:00
Logan CusanoandClaude Sonnet 5 ef1e3d7f9d correlator: LLM tier reads the scene's transcript, not the whole call (server-26#102)
The last leg of the #80/#95 scene-context leak. llm_correlator._call_block
read call_doc's whole-call transcript for every scene, so on a multi-scene
call every scene's cheap-tier and tiebreaker decision was made against text
that also contained the other scenes.

- intelligence.py: each processed[] scene now carries its own "transcript" —
  transcript_corrected, else this scene's segments joined, else (single scene)
  the whole transcript.
- _build_context / preview_correlation / correlate_call: take a `transcript`
  param; _build_context resolves ctx["scene_transcript"] from it, falling
  back to the call doc (sweep, single-scene, tests) — the fallback is kept
  here, unlike embedding/severity, because a scene always has real text.
- upload.py: both scene loops pass scene["transcript"].
- llm_correlator._call_block: reads ctx["scene_transcript"] (call-doc
  fallback retained for test-built ctx).
- recorrelation_sweep: passes the call doc's text explicitly.
- +1 regression test. Full c2-core suite green (296 passed, sandboxed venv).

NOT for merge until the running correlation measurement window closes and its
dump is analysed — deploying a correlator change mid-window would mix old and
new behaviour in the sample.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-09-07 00:06:37 -04:00
logan c1c3e89e1d frontend: fix map stacking + honest infra error states (#108)
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2026-09-06 23:49:19 -04:00
39 changed files with 2328 additions and 330 deletions
+44 -1
View File
@@ -63,6 +63,7 @@ jobs:
NEXT_PUBLIC_FIREBASE_MESSAGING_SENDER_ID=${{ secrets.FIREBASE_MESSAGING_SENDER_ID }}
NEXT_PUBLIC_FIREBASE_APP_ID=${{ secrets.FIREBASE_APP_ID }}
NEXT_PUBLIC_FIRESTORE_DATABASE=${{ secrets.FIRESTORE_DATABASE }}
NEXT_PUBLIC_MAP_TILE_URL=https://tile.openstreetmap.org/{z}/{x}/{y}.png
deploy:
name: Deploy to VM
@@ -96,9 +97,46 @@ jobs:
set -e
cd /opt/drb
# server-26#129: every deploy pushes 3 freshly SHA-tagged images and
# nothing ever removed the old ones except a prune that only ran
# AFTER a successful `compose pull` -- so a run that never got that
# far (this one) left the leak unaddressed forever. That silently
# filled the disk to 100% over ~week of deploys (2026-09-12: 29G/29G
# used, 96 of 100 local images unreferenced, 23.76GB reclaimable) and
# took `git pull` itself down with "No space left on device" before
# the deploy could even determine a rollback target. Prune BEFORE
# doing anything else, not after: `docker image prune -af` only
# removes images with no container referencing them, so it can never
# touch what's currently running -- there is nothing here for a
# mid-flight deploy to lose. Warn-not-fail: a prune failure must not
# block a deploy that doesn't actually need the space this time.
docker image prune -af || echo "WARNING: pre-deploy image prune failed (server-26#129) -- disk pressure may persist"
# Update compose files + mosquitto config
git pull origin main
# server-26#51: Firestore rules + composite indexes had no deploy
# path and regressed silently after every fix (the alert_events and
# calls(org_id,started_at) indexes among them). The VM runs as the
# project service account, so firebase-tools authenticates via ADC
# with no key file, and infra/firestore/firebase.json pins database
# c2-server. Indexes go on additively -- no --force -- so a stray
# edit to firestore.indexes.json can never delete a live index;
# rules are a full replace, which is the intent. --non-interactive
# means the FIRST run after a drift still needs a one-time manual
# `firebase deploy` on the VM to clear pending deletions (it aborts
# rather than guess). A failure here warns but does NOT fail the
# deploy: a transient Firebase API error must not roll back a good
# app build.
if command -v firebase >/dev/null 2>&1; then
( cd /opt/drb/infra/firestore \
&& firebase deploy --only firestore:rules,firestore:indexes \
--project ${{ secrets.FIREBASE_PROJECT_ID }} --non-interactive ) \
|| echo "WARNING: firestore deploy failed (server-26#51) -- rules/indexes may be stale"
else
echo "WARNING: firebase CLI not on the VM -- skipped firestore deploy (server-26#51); install once with: npm i -g firebase-tools"
fi
# server-26#65: capture what is actually live BEFORE switching, so
# a bad deploy has something concrete to fall back to. This reads
# from a state file rather than re-deriving it from git log,
@@ -136,7 +174,12 @@ jobs:
$COMPOSE pull
fi
$COMPOSE up -d --remove-orphans
docker image prune -f
# server-26#129: -f alone only removes dangling (untagged) images --
# the SHA-tagged image from every PAST deploy is not dangling, just
# unreferenced once `up -d` swaps the running container to the new
# tag, so it survived this indefinitely. -a catches those too; see
# the pre-pull prune above for why this can't touch anything live.
docker image prune -af
ENDSSH
)
echo "$OUTPUT"
+1
View File
@@ -47,3 +47,4 @@ Thumbs.db
# Out of scope - not a deployed service (server-26#56)
drb-telegram-bot/
.claude/worktrees/
+7
View File
@@ -33,6 +33,13 @@ SUMMARY_INTERVAL_MINUTES=15
CORRELATION_WINDOW_HOURS=4
EMBEDDING_SIMILARITY_THRESHOLD=0.82
# Browser origins allowed to call this API cross-origin (JSON list). The only
# browser caller is the frontend's Archive page (GET /calls/search). Set this
# to the exact origin the frontend is served from — scheme + host, no path.
# Defaults to https://drb.cusano.net. A "*" entry works for local dev but is
# logged as a probable misconfiguration and never gets a credentialed response.
CORS_ORIGINS=["https://drb.cusano.net"]
# Fleet-wide token edge nodes present as X-Enrollment-Token on first boot
# (POST /nodes/enroll). Shared across every node — NOT a per-node secret.
# Generate with: openssl rand -hex 32
+23 -26
View File
@@ -90,24 +90,19 @@ class Settings(BaseSettings):
unit_continuity_max_idle_minutes: int = 20 # unit-continuity path: skip if incident idle > this
recorrelation_scan_minutes: int = 60 # re-examine orphaned calls ended within this window
tg_fast_path_idle_minutes: int = 90 # fast path: max minutes since incident last updated
# Dispatch channels only: tier-2 thin calls attach to a lone candidate idle < this.
# Was 10, which is long enough for the channel to have moved on to something else:
# on 2026-08-16 a "72 at Holland Station" incident absorbed a Grand Central train
# meet 9.6 min later, and a status check absorbed a records lookup at 9.7 min.
# Across that dump every correct thin attach was <= 3.4 min idle and every wrong
# one was >= 8.2, so 5 separates them with room on both sides. Genuine
# back-and-forth is handled by the 30-second tier-1 path above this.
# Tier-2 thin calls attach to a lone candidate idle < this, on every
# channel (server-26#133/#134 removed the dispatch/tactical split — a
# channel's name doesn't change how much scrutiny it gets). Was 10, which
# is long enough for the channel to have moved on to something else: on
# 2026-08-16 a "72 at Holland Station" incident absorbed a Grand Central
# train meet 9.6 min later, and a status check absorbed a records lookup
# at 9.7 min. Every correct thin attach in that dump was <= 3.4 min idle
# and every wrong one was >= 8.2, so 5 separates them with room on both
# sides. Genuine back-and-forth is handled by the 30-second tier-1 path
# above this. Also the escape hatch in routers/upload.py's LLM-orphan gate
# (_recent_incident_on_same_talkgroup, server-26#115) — check both call
# sites before retuning this.
tg_dispatch_thin_idle_minutes: int = 5
# Every other channel: tier-2 thin calls attach to a lone candidate idle < this.
# Non-dispatch talkgroups previously had NO tier-2 bound at all — they used the
# whole 90-minute tg_fast_path_idle_minutes window with no single-candidate
# requirement and no fit test, which is the widest version of the 2026-08-20
# over-merge. A tactical channel really is dedicated to one scene, so it earns
# a longer window than a dispatch backbone, but not an unbounded one: 15 sits
# inside the 20-minute tactical-default window in _call_fits_incident, so the
# no-evidence thin path is never more permissive than the fit-tested path on
# the same channel.
tg_thin_idle_minutes: int = 15
# ── Hard caps: an incident past either of these stops accepting calls ──────
# Enforced on every correlation path (see _incident_at_capacity). Pairwise fit
@@ -180,16 +175,18 @@ class Settings(BaseSettings):
# between genuinely separate transmissions on a busy dispatch channel.
duplicate_window_seconds: int = 10
# CORS — set to your frontend origin(s) in production, e.g. ["https://app.example.com"]
# Defaults to "*" for local development only.
# Browser origins allowed to call this API cross-origin. The only browser
# caller is the frontend's Archive page (GET /calls/search) — every other
# page reads Firestore directly. The frontend is served on the BARE domain
# (see infra Caddyfile.j2 — only drb. and api. have DNS records), so the
# default is that origin, not app.<domain>. Override via CORS_ORIGINS (JSON
# list) if the frontend ever moves; keep infra/.../c2-core.env.j2 in sync.
#
# Leaving this as "*" is not merely permissive: main.py turns OFF
# allow_credentials when it sees a wildcard, because Starlette would
# otherwise reflect each caller's origin back WITH
# Access-Control-Allow-Credentials. So a production deployment that
# forgets to set this gets a loud ERROR at startup and loses credentialed
# cross-origin requests, rather than silently accepting every origin.
cors_origins: list[str] = ["*"]
# A "*" entry here still works for local dev but is refused a credentialed
# response: main.py never enables allow_credentials (auth is a Bearer
# header, not a cookie), and it logs a loud ERROR when it sees a wildcard
# in a deployment so a forgotten override is visible.
cors_origins: list[str] = ["https://drb.cusano.net"]
# Discord webhook URL that app/internal/ai_health.py posts to when an AI
# tier (transcription/correlation) transitions into or out of degraded
@@ -0,0 +1,135 @@
"""
Upstream dispatch-vs-chatter classifier — SHADOW MODE (server-26#115 follow-up).
Three live measurement windows (CORRELATION_REVIEW_0907.md, _0907b.md, _0912.md)
and two consensus-layer fixes (#125, #126) all converged on the same conclusion:
the actual non-event-promotion problem lives upstream of correlation entirely.
Radio housekeeping — unit check-ins, roll call, bare 10-4/10-8/98 acknowledgements
— has no incident content for `intelligence.extract_scenes` to find, but nothing
stops it from being sent to the scene-extraction LLM and coming out the other end
as a thin "scene" for the correlator to then judge. See CORRELATION_REVIEW_0912.md
("Reminder: the real fix is still unscoped") and issue #115.
This module is that classifier. It is a PURE function of the transcript text —
no Firestore, no LLM call, no side effects — so it is cheap to run on every
transcript and cheap to test against real dumps offline.
SHADOW MODE ONLY. As of this module's introduction, nothing skips scene
extraction based on this verdict. `intelligence.extract_scenes` calls
`classify_chatter` purely to record the verdict on the call doc
(`chatter_classifier_verdict` / `chatter_classifier_reason`) so it becomes
observable in the next `/admin` correlation-debug dump, exactly like
`corr_gate_veto` (server-26#115 / PR #126). See the TODO at that call site for
what has to be true before this flips live.
Precision over recall, deliberately. A false positive here — flagging a REAL
event as chatter — would, once live, silently mean that event never gets a
scene, never gets tags/location/severity, and never has a chance to become an
incident. That is a much bigger, harder-to-notice failure than a false
negative (a housekeeping call that still goes through the existing expensive
pipeline and gets judged "not an incident" the same way it is today). When a
transcript doesn't clearly match one of the shapes below, this returns
(False, None) and the existing pipeline runs exactly as it does today.
Patterns are drawn from hand-labeled examples in CORRELATION_REVIEW_0907b.md
and CORRELATION_REVIEW_0912.md, cross-referenced against the real transcripts
in corr_dump_9-7_0437am.json / corr_dump_9-7_pm.json / corr_dump_9-12.json —
not invented regexes. See the backtest script referenced in the PR for the
per-dump catch rate and false-positive count.
"""
import re
from typing import Optional
# Police/law-enforcement phonetic alphabet words (APCO + NATO). Deliberately
# duplicated from intelligence.py's `_PHONETIC_ALPHA_WORDS` rather than
# imported — intelligence.py imports this module (to write the shadow-mode
# verdict onto the call doc), so importing back would be circular. Keep the
# two sets in sync if either changes; they're small and rarely touched.
_PHONETIC_ALPHA_WORDS = frozenset({
# APCO (law enforcement)
"adam", "baker", "charles", "david", "edward", "frank", "george", "henry",
"ida", "john", "king", "lincoln", "mary", "nora", "ocean", "paul", "queen",
"robert", "sam", "tom", "union", "victor", "william", "x-ray", "young", "zebra",
# NATO
"alpha", "bravo", "charlie", "delta", "echo", "foxtrot", "golf", "hotel",
"india", "juliet", "kilo", "lima", "mike", "november", "oscar", "papa",
"quebec", "romeo", "sierra", "tango", "uniform", "whiskey", "yankee", "zulu",
})
_TOKEN_RE = re.compile(r"[a-z0-9][a-z0-9\-]*")
# Bare radio-procedure words that carry zero incident content by themselves.
# Deliberately small and literal — this is not a general stopword list, it's
# the exact vocabulary observed in hand-labeled chatter transcripts. Words
# that are ambiguous outside a pure-procedure context (e.g. "location",
# "call", "phone", "number", "go") are left OUT on purpose: including them
# risks reducing a real, substantive transcript down to nothing.
_FILLER_WORDS = frozenset({
"to", "this", "is", "the", "a", "and", "for", "you", "can", "i", "in",
"on", "of", "that", "just", "from", "out", "ok", "okay", "at", "be",
"show", "me", "mark", "marked", "charge", "standby", "stand", "by",
"clear", "available", "affirm", "affirmative", "negative", "copy",
"copies", "received", "roger",
})
# Agency/procedural designators — who's being addressed, not what happened.
_RADIO_DESIGNATORS = frozenset({
"central", "dispatch", "headquarters", "hq", "post", "unit", "sergeant",
"sgt", "metro", "mta", "division", "county",
})
_ROLL_CALL_RE = re.compile(r"\broll\s*call\b")
def _tokenize(transcript: str) -> list[str]:
return _TOKEN_RE.findall(transcript.lower())
def _is_filler_token(token: str) -> bool:
# Any token starting with a digit is a unit ID, 10-code, badge/post
# number, or call-number fragment ("10-4", "6-8", "72-holland",
# "11-victor", "98", "114") — procedural, not incident content. This is
# deliberately broad: a real event transcript that happens to include a
# digit-led token (an address number, a case number) still has other,
# non-digit descriptive words left over, so this alone never reduces a
# real transcript to nothing. See the backtest for confirmation.
if token[0].isdigit():
return True
return (
token in _FILLER_WORDS
or token in _RADIO_DESIGNATORS
or token in _PHONETIC_ALPHA_WORDS
)
def classify_chatter(transcript: Optional[str]) -> tuple[bool, Optional[str]]:
"""
Pure classification of a transcript as non-event radio housekeeping.
Returns (is_chatter, reason):
(True, "roll_call") — contains a roll-call announcement
(True, "bare_acknowledgement") — every token is a callsign/10-code/
procedural filler word; nothing else
(False, None) — not confidently chatter; let the
existing pipeline run as today
Takes only the transcript. Other call metadata (talkgroup, severity, tags)
doesn't exist yet at the point this needs to run — this classifier is
upstream of the scene-extraction call that produces those fields — so it
deliberately doesn't take them as input.
"""
if not transcript or not transcript.strip():
return False, None
lowered = transcript.lower()
if _ROLL_CALL_RE.search(lowered):
return True, "roll_call"
tokens = _tokenize(transcript)
if not tokens:
return False, None
if any(not _is_filler_token(t) for t in tokens):
return False, None
return True, "bare_acknowledgement"
+9
View File
@@ -7,6 +7,15 @@ from google.cloud.firestore_v1.base_query import FieldFilter
from app.config import settings
from app.internal.logger import logger
# Re-exported so callers never need their own `firebase_admin.firestore` import
# just to delete a field. server-26#96/#114 review: `doc_set(..., merge=True)`
# merges nested maps by key but can never REMOVE one — writing `{"scenes": {}}`
# to clear a map is a no-op, not a delete. Use `doc_update(coll, id, {"field":
# fstore.DELETE_FIELD})` (or doc_set + merge, DELETE_FIELD works under both)
# whenever a re-extraction/reprocess path needs a stale nested field gone
# rather than merged over.
DELETE_FIELD = fs.DELETE_FIELD
# ---------------------------------------------------------------------------
# In-memory TTL cache for rarely-changing documents (systems, nodes config)
# ---------------------------------------------------------------------------
+207 -104
View File
@@ -91,12 +91,12 @@ def _max_severity(current: Optional[str], new: Optional[str]) -> str:
_MAX_PURSUIT_SPEED_KM_PER_MIN = 8.0 # ~300 km/h, intentionally generous
_PURSUIT_PROXIMITY_KM = 20.0 # expanded radius for moving incidents
_DISPATCH_TG_RE = re.compile(
r"\bdispatch\b|\bdisp\b"
r"|\bpatched\b" # patched channels aggregate multiple call streams
r"|\bprimary\b", # "Primary" channels serve as shared backbones
re.IGNORECASE,
)
# server-26#115 — the location path linked on `location_proximity_km` (0.5 km)
# alone, with no unit or content check. In a dense village two unrelated events
# routinely geocode that close (a vehicle lockout stitched to a station-restroom
# slip; two different churches an hour apart). A location link now needs unit
# overlap with the candidate OR a distance under this tighter bar.
_LOCATION_TIGHT_PROXIMITY_KM = 0.2
# Matches route/road identifiers in location strings for cross-system parent detection.
# Groups: numbered routes (Route 202, NY-9, US-6, I-87, CR-35) and named parkways/highways.
@@ -108,16 +108,31 @@ _ROAD_RE = re.compile(
)
# Street-type synonyms collapsed to one token so "Mohegan Park Avenue" and
# "Mohegan Park Ave" produce the same road id (server-26#115 — that one
# difference was splitting a car-alarm incident into two).
_ROAD_SUFFIX_CANON = {
"avenue": "ave", "street": "st", "road": "rd", "drive": "dr",
"boulevard": "blvd", "lane": "ln", "court": "ct", "place": "pl",
"highway": "hwy", "parkway": "pkwy",
}
def _extract_road_ids(text: str) -> set[str]:
"""
Extract normalised road/route identifiers from a location string.
e.g. "suspect east on Route 202" → {"route 202"}
"at Main Street and Oak Ave" → {"main street", "oak ave"}
"at Main Street and Oak Ave" → {"main st", "oak ave"}
"""
return {
re.sub(r"[\s.\-]+", " ", m.group().lower()).strip()
for m in _ROAD_RE.finditer(text)
}
ids: set[str] = set()
for m in _ROAD_RE.finditer(text):
key = re.sub(r"[\s.\-]+", " ", m.group().lower()).strip()
parts = key.split()
if parts and parts[-1] in _ROAD_SUFFIX_CANON:
parts[-1] = _ROAD_SUFFIX_CANON[parts[-1]]
key = " ".join(parts)
ids.add(key)
return ids
def _location_mentions_road_overlap(new_location: str, inc_mentions: list[str]) -> bool:
@@ -224,6 +239,22 @@ def _matching_units(call_units: Optional[list[str]], inc_units: Optional[list[st
return [u for u in (call_units or []) if _normalize_unit(u) in inc_keys]
def has_event_substance(ctx: dict) -> bool:
"""
True when the call carries content beyond who-was-speaking-and-where:
a vehicle, a geocode, or a tag.
This is the substance half of the incident-creation gate (see
`_run_decision`, "Severity, not type, decides..."), factored out so the
consensus LLM-orphan gate in routers/upload.py mirrors it exactly and can
never drop a call the creation gate would have opened. `call_units` and
`location` are deliberately excluded — radio protocol puts a unit ID and a
place name in almost every transmission, so counting them as substance
makes the check trivially true.
"""
return bool(ctx.get("call_vehicles") or ctx.get("coords") or ctx.get("tags"))
def _infer_type_from_tags(tags: list[str]) -> Optional[str]:
"""Return an incident type inferred from tags, or None if ambiguous."""
for tag in tags:
@@ -456,13 +487,6 @@ def _resolve_incident_title(
return {}
def _is_dispatch_channel(talkgroup_name: Optional[str]) -> bool:
"""True when the talkgroup is a shared dispatch backbone (not a tactical/working channel)."""
if not talkgroup_name:
return False
return bool(_DISPATCH_TG_RE.search(talkgroup_name))
def _incident_idle_minutes(inc: dict, now: datetime) -> float:
"""Minutes since the incident was last updated (or started). Returns 9999 on parse error."""
try:
@@ -670,6 +694,8 @@ async def correlate_call(
reassignment: bool = False,
embedding: Optional[list] = None,
severity: Optional[str] = None,
transcript: Optional[str] = None,
scene_index: int = 0,
) -> Optional[str]:
"""
Link call_id to an existing incident or create a new one.
@@ -679,6 +705,11 @@ async def correlate_call(
Callers that re-correlate a whole call rather than a scene — the
recorrelation sweep — pass the call doc's stored values explicitly; they are
no longer read from the doc inside _build_context.
``scene_index`` (server-26#96) identifies which scene of the call this
decision belongs to for the per-scene ``scenes`` map written by
_apply_and_log. Defaults to 0 — correct for every caller here, since this
entry point always re-correlates a call as a single unit, not a scene loop.
"""
ctx = await _build_context(
call_id=call_id, units=units, vehicles=vehicles, cleared_units=cleared_units,
@@ -686,7 +717,8 @@ async def correlate_call(
system_id=system_id, talkgroup_id=talkgroup_id, talkgroup_name=talkgroup_name,
tags=tags, incident_type=incident_type, location=location,
reassignment=reassignment, create_if_new=create_if_new,
embedding=embedding, severity=severity,
embedding=embedding, severity=severity, transcript=transcript,
scene_index=scene_index,
)
decision = _run_decision(ctx)
return await _apply_and_log(decision, ctx)
@@ -710,6 +742,8 @@ async def preview_correlation(
reassignment: bool = False,
embedding: Optional[list] = None,
severity: Optional[str] = None,
transcript: Optional[str] = None,
scene_index: int = 0,
) -> dict:
"""
Run the rules engine and return the decision WITHOUT committing to Firestore.
@@ -723,6 +757,15 @@ async def preview_correlation(
matched_incident the candidate incident doc (action == "link")
incident_type resolved type after tag inference (action == "new")
corr_debug fields to persist on the call doc
``scene_index`` (server-26#96) — which scene of the call (upload.py's
``for scene_index, scene in enumerate(scenes):`` loop) this call is. It
rides through ctx to _apply_and_log, which uses it as the key under the
call doc's ``scenes`` map so each scene's corr_debug/transcript lands in
its own map entry instead of colliding on the shared flat fields. Defaults
to 0 for callers with no scene concept (a single-scene call, or the
no-scenes-extracted correlation attempt) — equivalent to today's
behaviour for those calls.
"""
ctx = await _build_context(
call_id=call_id, units=units, vehicles=vehicles, cleared_units=cleared_units,
@@ -730,7 +773,8 @@ async def preview_correlation(
system_id=system_id, talkgroup_id=talkgroup_id, talkgroup_name=talkgroup_name,
tags=tags, incident_type=incident_type, location=location,
reassignment=reassignment, create_if_new=create_if_new,
embedding=embedding, severity=severity,
embedding=embedding, severity=severity, transcript=transcript,
scene_index=scene_index,
)
decision = _run_decision(ctx)
return {"decision": decision, "ctx": ctx}
@@ -765,6 +809,8 @@ async def _build_context(
create_if_new: bool,
embedding: Optional[list] = None,
severity: Optional[str] = None,
transcript: Optional[str] = None,
scene_index: int = 0,
) -> dict:
now = reference_time or datetime.now(timezone.utc)
window = timedelta(hours=settings.correlation_window_hours)
@@ -804,6 +850,13 @@ async def _build_context(
call_vehicles = vehicles if vehicles is not None else (call_doc.get("vehicles") or [])
call_cleared = cleared_units if cleared_units is not None else (call_doc.get("cleared_units") or [])
call_severity = severity or "routine"
# The transcript the LLM correlation tier reasons over. Prefer the SCENE's
# own words (server-26#102) — passed by upload.py's scene loop — and fall
# back to the call doc only when no scene text was supplied (the
# recorrelation sweep, and single-scene calls where the two are identical).
# Without this, every non-primary scene of a multi-scene call was judged by
# the LLM against a transcript containing the OTHER scenes.
scene_transcript = transcript or call_doc.get("transcript_corrected") or call_doc.get("transcript")
# A string that is not a place is not a location anywhere downstream — not
# in the fit tests, not in the thin-call test, not in the LLM prompt, and
# not on the incident. Its coordinates go with it: coords are geocoded
@@ -826,6 +879,7 @@ async def _build_context(
return {
"call_id": call_id, "org_id": org_id, "all_active": all_active, "recent": recent,
"call_doc": call_doc, "call_embedding": call_embedding,
"scene_transcript": scene_transcript,
"call_units": call_units, "call_vehicles": call_vehicles,
"call_cleared": call_cleared, "call_severity": call_severity,
"coords": coords, "is_thin_call": is_thin_call, "now": now,
@@ -834,6 +888,9 @@ async def _build_context(
"incident_type": incident_type, "location": location,
"location_coords": location_coords, "reassignment": reassignment,
"create_if_new": create_if_new,
# server-26#96 — which scene of the call this decision is for. Carried
# through so _apply_and_log can key the per-scene write correctly.
"scene_index": scene_index,
}
@@ -902,14 +959,13 @@ def _run_decision(ctx: dict) -> dict:
if talkgroup_id is not None and system_id:
tg_str = str(talkgroup_id)
# talkgroup_name may be None when the upload form omits it (node sets it
# directly on the Firestore call doc). Fall back to the call doc so that
# dispatch-channel strictness works regardless of how the call arrived.
# directly on the Firestore call doc). Fall back to the call doc so the
# log lines below still name the channel.
effective_talkgroup_name = talkgroup_name or call_doc.get("talkgroup_name")
is_dispatch = _is_dispatch_channel(effective_talkgroup_name)
if effective_talkgroup_name != talkgroup_name:
logger.info(
f"Correlator: talkgroup_name missing from request for call {call_id}, "
f"resolved from call doc: {effective_talkgroup_name!r} → is_dispatch={is_dispatch}"
f"resolved from call doc: {effective_talkgroup_name!r}"
)
tg_matches = [
@@ -953,10 +1009,7 @@ def _run_decision(ctx: dict) -> dict:
# single-candidate requirement and no fit test of any kind. Four
# hours is not a bound, and neither is ninety minutes.
THIN_CONVERSATIONAL_SECS = 30
thin_window_min = (
settings.tg_dispatch_thin_idle_minutes if is_dispatch
else settings.tg_thin_idle_minutes
)
thin_window_min = settings.tg_dispatch_thin_idle_minutes
very_recent = [
inc for inc in tg_recent
if _idle_gate_minutes(inc, now) * 60 <= THIN_CONVERSATIONAL_SECS
@@ -978,8 +1031,7 @@ def _run_decision(ctx: dict) -> dict:
if len(thin_pool) > 1:
logger.info(
f"Correlator fast-path thin (tier-2): {len(thin_pool)} active incidents "
f"on {'dispatch' if is_dispatch else 'tactical'} channel — "
f"ambiguous, skipping thin call {call_id}"
f"— ambiguous, skipping thin call {call_id}"
)
thin_pool = []
@@ -1009,14 +1061,14 @@ def _run_decision(ctx: dict) -> dict:
candidate = tg_recent[0]
logger.info(
f"Correlator fast/single: call {call_id} vs incident {candidate['incident_id']} "
f"tg_name={effective_talkgroup_name!r} is_dispatch={is_dispatch} "
f"tg_name={effective_talkgroup_name!r} "
f"idle={round(_incident_idle_minutes(candidate, now), 1)}min "
f"call_units={call_units} inc_units={candidate.get('units')} "
f"call_coords={'yes' if coords else 'no'} inc_coords={'yes' if candidate.get('location_coords') else 'no'}"
)
fit, fit_signal = _call_fits_incident(
candidate, call_units, call_vehicles, coords,
settings.location_proximity_km, is_dispatch=is_dispatch,
settings.location_proximity_km,
call_embedding=call_embedding, now=now,
reassignment=reassignment,
)
@@ -1026,13 +1078,12 @@ def _run_decision(ctx: dict) -> dict:
"corr_path": "fast/single",
"corr_incident_idle_min": round(_incident_idle_minutes(candidate, now), 1),
"corr_fit_signal": fit_signal,
"corr_is_dispatch": is_dispatch,
}
if fit_signal == "unit_overlap" and call_units:
corr_debug["corr_matched_units"] = _matching_units(call_units, candidate.get("units"))
logger.info(
f"Correlator fast-path: call {call_id} → {candidate['incident_id']} "
f"(signal={fit_signal}, is_dispatch={is_dispatch})"
f"(signal={fit_signal})"
)
else:
logger.info(
@@ -1048,14 +1099,14 @@ def _run_decision(ctx: dict) -> dict:
# dispatch channel should create its own incident, not be force-merged.
logger.info(
f"Correlator fast/disambig: call {call_id} vs incident {candidate['incident_id']} "
f"tg_name={effective_talkgroup_name!r} is_dispatch={is_dispatch} "
f"tg_name={effective_talkgroup_name!r} "
f"idle={round(_incident_idle_minutes(candidate, now), 1)}min "
f"call_units={call_units} inc_units={candidate.get('units')} "
f"call_coords={'yes' if coords else 'no'} inc_coords={'yes' if candidate.get('location_coords') else 'no'}"
)
fit, fit_signal = _call_fits_incident(
candidate, call_units, call_vehicles, coords,
settings.location_proximity_km, is_dispatch=is_dispatch,
settings.location_proximity_km,
call_embedding=call_embedding, now=now,
reassignment=reassignment,
)
@@ -1066,7 +1117,6 @@ def _run_decision(ctx: dict) -> dict:
"corr_incident_idle_min": round(_incident_idle_minutes(candidate, now), 1),
"corr_candidates": len(tg_recent),
"corr_fit_signal": fit_signal,
"corr_is_dispatch": is_dispatch,
}
if fit_signal == "unit_overlap" and call_units:
corr_debug["corr_matched_units"] = _matching_units(call_units, candidate.get("units"))
@@ -1147,6 +1197,10 @@ def _run_decision(ctx: dict) -> dict:
# ── 2. Location path: proximity match (time-limited, cross-type) ─────────
if not matched_incident and coords:
# server-26#115 — score every in-radius candidate and link the NEAREST
# that carries corroboration, rather than whichever incident happened to
# come first in an unsorted `recent`.
loc_candidates: list[tuple] = []
for inc in recent:
inc_coords = inc.get("location_coords")
if not inc_coords:
@@ -1163,18 +1217,49 @@ def _run_decision(ctx: dict) -> dict:
elapsed_min = max(_incident_idle_minutes(inc, now), 0.1)
if (dist_km / elapsed_min) > _MAX_PURSUIT_SPEED_KM_PER_MIN:
continue # implausible speed — skip this candidate
if dist_km <= radius:
if dist_km > radius:
continue
# server-26#115 — a bare sub-radius distance is not enough on its
# own. Require corroboration: unit overlap with the candidate, OR
# a much tighter proximity. Pursuit incidents keep their
# movement-speed-validated wide radius (they passed the speed
# check above), so they are exempt.
unit_overlap = bool(
_unit_keys(call_units) & _unit_keys(inc.get("units"))
)
tight_proximity = dist_km <= _LOCATION_TIGHT_PROXIMITY_KM
if not (is_pursuit_inc or unit_overlap or tight_proximity):
logger.info(
f"Correlator location-path skipped: call {call_id} vs "
f"{inc['incident_id']} — dist={dist_km:.2f}km within radius "
f"but no unit overlap and not tight-proximity "
f"(<= {_LOCATION_TIGHT_PROXIMITY_KM}km)"
)
continue
loc_candidates.append((dist_km, unit_overlap, is_pursuit_inc, inc))
if loc_candidates:
loc_candidates.sort(key=lambda c: c[0])
dist_km, unit_overlap, is_pursuit_inc, inc = loc_candidates[0]
matched_incident = inc
# Distinct from the fast path's "unit_overlap" so the admin
# corr_fit_signal histogram (routers/admin.py) does not merge a
# location-path link into the fast-path bucket (#35).
fit_signal = "location_unit_overlap" if unit_overlap else "location_proximity"
corr_debug = {
"corr_path": "location",
"corr_distance_km": round(dist_km, 3),
"corr_pursuit_mode": is_pursuit_inc,
"corr_fit_signal": fit_signal,
}
if unit_overlap and call_units:
corr_debug["corr_matched_units"] = _matching_units(
call_units, inc.get("units")
)
logger.info(
f"Correlator location-path: call {call_id} → {inc['incident_id']} "
f"(dist={dist_km:.2f}km, pursuit={is_pursuit_inc})"
f"(dist={dist_km:.2f}km, pursuit={is_pursuit_inc}, signal={fit_signal})"
)
break
# ── 2.5. Cross-TG path: same department, overlapping units, moderate similarity ──
#
@@ -1311,7 +1396,7 @@ def _run_decision(ctx: dict) -> dict:
# each. A vehicle, a geocode, or a tag means the extractor found something
# beyond who was speaking and where they stood.
if not resolved_type:
has_substance = bool(call_vehicles or coords or tags)
has_substance = has_event_substance(ctx)
if call_severity in ("minor", "moderate", "major") or has_substance:
resolved_type = "other"
logger.info(
@@ -1335,12 +1420,66 @@ def _run_decision(ctx: dict) -> dict:
# ─────────────────────────────────────────────────────────────────────────────
async def _apply_and_log(decision: dict, ctx: dict) -> Optional[str]:
"""Commit a rules decision and persist the corr_debug fields to the call doc."""
"""
Commit a rules decision and persist the corr_debug fields to the call doc.
server-26#96: every scene of a multi-scene call reaches this function
independently (upload.py's ``for scene_index, scene in enumerate(scenes):``
loop → _correlate_with_consensus → preview_correlation/apply_correlation),
and every scene writes to the SAME call doc. Writing corr_debug only at
the flat top level meant scene 2's write silently clobbered scene 1's
corr_path/corr_consensus/etc — the call doc ended up describing a splice
of decisions, not any one of them.
Fix: write the flat fields exactly as before (kept for any reader that
doesn't know about `scenes` yet — last-scene-wins, same as pre-#96
behaviour, a safe backward-compatible default) AND additionally nest the
same corr_debug — plus this scene's own transcript and the incident_id it
resolved to — under scenes.<scene_index>. Firestore's
`DocumentReference.set(data, merge=True)` recursively merges nested map
fields by key. Verified against `internal/firestore.py`'s `doc_set`
wrapper (a straight `ref.set(data, merge=merge)` pass-through — no
`update()`, no read-modify-write, nothing that would change this) and
against the documented set-with-merge semantics; NOT exercised against a
live Firestore instance (no SDK available in the sandboxes this landed
from — review flagged this distinction explicitly). A write of
{"scenes": {"1": {...}}} merges into an existing
{"scenes": {"0": {...}}} to produce {"scenes": {"0": {...}, "1": {...}}}
rather than replacing the whole `scenes` map, so scene 0's and scene 1's
entries land side by side instead of colliding like the flat fields do.
`scene_index` defaults to 0 (see preview_correlation/correlate_call), so a
plain single-scene call still gets a `scenes` map — just with one entry,
equivalent to reading the flat fields today.
"""
incident_id = await _apply_decision(decision, ctx)
corr_debug = decision.get("corr_debug") or {}
if corr_debug:
scene_index = ctx.get("scene_index", 0)
updates = dict(corr_debug)
updates["scenes"] = {
str(scene_index): {
"transcript": ctx.get("scene_transcript"),
"incident_id": incident_id,
"corr_debug": corr_debug,
# server-26#139: this scene's OWN extracted incident_type/
# severity, as read by _call_is_substanceless's ctx at
# decision time — not the call doc's flat top-level field,
# which is last-scene-wins (server-26#96) and was the reason
# #138's "type" veto couldn't be told apart from cross-scene
# contamination without re-guessing from a live dump.
# NOTE: unlike incident_type, call_severity is already
# coerced to "routine" when extraction emitted nothing
# (ctx build: `severity or "routine"`) — a scene reading
# "routine" here doesn't distinguish "extraction said
# routine" from "extraction said nothing". Don't split a
# severity veto the way #138 splits the type veto without
# accounting for that.
"incident_type": ctx.get("incident_type"),
"severity": ctx.get("call_severity"),
}
}
try:
await fstore.doc_set("calls", ctx["call_id"], corr_debug)
await fstore.doc_set("calls", ctx["call_id"], updates)
except Exception as e:
logger.warning(f"Could not write corr_debug for call {ctx['call_id']}: {e}")
return incident_id
@@ -1571,7 +1710,6 @@ def _call_fits_incident(
call_vehicles: list[str],
call_coords: Optional[dict],
proximity_km: float,
is_dispatch: bool = False,
call_embedding: Optional[list] = None,
now: Optional[datetime] = None,
reassignment: bool = False,
@@ -1581,48 +1719,24 @@ def _call_fits_incident(
the incident; signal names the specific evidence that drove the decision.
fits=True signals: "unit_overlap" | "vehicle_overlap" | "location_proximity"
| "time_fallback" | "tactical_default"
fits=False signals: "unit_loc_conflict" | "content_divergence"
| "location_conflict" | "no_signal" | "tactical_idle"
| "location_conflict" | "no_signal"
Original docstring (logic unchanged):
Return True if this call plausibly belongs to the given incident.
Evaluation order for dispatch channels (is_dispatch=True):
─────────────────────────────────────────────────────────
1. Unit overlap
Same officer = same call. On dispatch channels, also run a location
conflict guard: if both sides carry geocoded coords and they differ
significantly, the officer has moved to a new scene and the unit match
is a false positive.
When the call has NO geocoded coordinates AND the incident is old
(≥ 15 min), use content divergence as a location proxy: an officer at
a genuinely different scene will be talking about clearly different
things. For recent incidents (< 15 min) we skip this proxy — the
officer may simply be giving an update without mentioning the address.
2. Vehicle overlap → True
3. Location proximity
Both sides geocoded and close → True.
Both sides geocoded and far apart (no other positive signal) → False.
4. No positive signals fired → dispatch fallback
a. Conversational continuity: idle < 2 min → True.
A call arriving within 2 minutes of the last incident activity almost
certainly belongs to the same dispatch thread. "Baker, head over
there too" or "copy that" carries no incident-specific vocabulary but
is unambiguously a response to what was just said. We do not require
embedding similarity here — embeddings capture word meaning, not
conversational context, and short operational messages will always
have lower similarity than the incident's accumulated content.
b. Older incident, no positive signals → False.
A shared dispatch channel must not absorb calls by default.
Tactical / working channel (is_dispatch=False):
────────────────────────────────────────────────
Channel is dedicated to one scene. No evidence of separation ≈ same call.
Default → True.
Evaluation order:
1. Unit overlap. Same officer = same call. Also runs a location-conflict
guard: geocoded on both sides and clearly different → the officer has
moved to a new scene, false positive. No geocode on the call (or on
the incident, with a call geocode) AND the incident is old (≥ 15 min)
→ content divergence as a location proxy (embedding similarity < 0.82
→ different scene). Skipped for recent incidents (< 15 min) — an
update without re-stating the address is normal.
2. Vehicle overlap → True.
3. Location proximity. Both geocoded and close → True; far apart with no
other positive signal → False.
4. No positive signal at all → False. A shared channel must not absorb
calls by default (server-26#134 — this used to default True within
20 min on any channel not name-matched as "dispatch"; a talkgroup
named tac/tactical is no less scrutinized in practice than any other).
Thin calls (no units/vehicles/coords) never reach this function —
they are intercepted before it in correlate_call.
@@ -1631,7 +1745,7 @@ def _call_fits_incident(
# signed value: the re-correlation sweep anchors `now` to the call's own
# started_at, which can be earlier than the incident's last activity and
# send the signed value negative — silently defeating every `idle_min`
# gate below (content-divergence veto and the tactical default alike).
# gate below, the content-divergence veto included.
# See `_idle_gate_minutes` docstring. The signed value is reported to
# callers separately as `corr_incident_idle_min` (they compute it via
# `_incident_idle_minutes` themselves) — nothing here needs it.
@@ -1642,7 +1756,6 @@ def _call_fits_incident(
inc_units = _unit_keys(inc.get("units"))
matched_units = _matching_units(call_units, inc.get("units"))
if matched_units:
if is_dispatch:
if call_coords:
# Hard location conflict: geocoded on both sides and clearly different.
inc_coords_u = inc.get("location_coords")
@@ -1679,7 +1792,7 @@ def _call_fits_incident(
if sim < 0.82:
logger.info(f" fits[{inc_id}]: unit_overlap({matched_units}) but content_divergence sim={sim:.3f} → content_divergence")
return False, "content_divergence"
logger.info(f" fits[{inc_id}]: unit_overlap matched={matched_units} is_dispatch={is_dispatch} → unit_overlap")
logger.info(f" fits[{inc_id}]: unit_overlap matched={matched_units} → unit_overlap")
return True, "unit_overlap"
# ── 2. Vehicle overlap ────────────────────────────────────────────────────
@@ -1733,30 +1846,20 @@ def _call_fits_incident(
return False, "location_conflict"
# ── 4. No positive signals ────────────────────────────────────────────────
# Requires at least one positive signal (unit, vehicle, or location match).
# A substantive call with no matching signals is more likely a separate
# incident than a follow-up — two dispatches can arrive within seconds of
# each other on a busy channel. Content-free thin calls are handled before
# this function via the thin path in correlate_call, with a tighter
# 30-second recency window.
logger.info(
f" fits[{inc_id}]: no positive signal — is_dispatch={is_dispatch} idle={idle_min:.1f}min "
f" fits[{inc_id}]: no positive signal — idle={idle_min:.1f}min "
f"inc_units={list(inc_units)} call_units={call_units} "
f"inc_vehicles={list(inc_vehicles)} call_vehicles={call_vehicles} "
f"call_coords={call_coords is not None} inc_coords={inc_coords is not None}"
)
if is_dispatch:
# Dispatch channels require at least one positive signal (unit, vehicle,
# or location match). A substantive call with no matching signals is more
# likely a separate incident than a follow-up to the current one — two
# dispatches can arrive within seconds of each other on a busy channel.
# Content-free thin calls are handled before this function via the thin
# path in correlate_call, with a tighter 30-second recency window.
return False, "no_signal"
# Tactical channel: one scene per channel.
# Within 20 min of the last incident activity, link by default — same
# working channel almost certainly means same scene.
# After 20 min of silence, require at least one positive signal; the same
# frequency can be reused for a new unrelated incident later in the shift.
if idle_min < 20.0:
return True, "tactical_default"
return False, "tactical_idle"
async def _update_incident(
inc: dict,
+78 -2
View File
@@ -16,6 +16,7 @@ from typing import Optional
from app.internal.logger import logger
from app.internal import firestore as fstore
from app.internal import area_context
from app.internal.chatter_classifier import classify_chatter
# Location validity is defined once, by the module that owns the incident's
# location/pin invariant. incident_correlator does not import this module, so
# this is not a cycle.
@@ -172,7 +173,7 @@ async def extract_scenes(
Each scene dict contains:
tags, incident_type, location, location_coords, resolved,
severity, vehicles, units, transcript_corrected,
severity, vehicles, units, transcript, transcript_corrected,
segment_indices, embedding
Side-effect: updates calls/{call_id} in Firestore with merged tags,
@@ -199,6 +200,28 @@ async def extract_scenes(
pass
return []
# server-26#127 — SHADOW MODE ONLY. Computes whether this transcript looks
# like non-event radio housekeeping (roll call, bare 10-4/10-8/98
# acknowledgements, unit check-ins) and records the verdict on the call
# doc, but does NOT skip extraction anywhere below — every path runs
# exactly as it did before this landed. Deliberately ahead of the ≤5-word
# skip: most bare acknowledgements ARE ≤5 words, and the first pass of
# this feature put the classifier after that return, so it never saw the
# bulk of its own target population — a review backtest against three
# live dumps found 82% of what it would have flagged already exits above
# as transcript_too_short, meaning a shadow-mode window would have shown
# roughly a fifth of the real catch rate. Computing it once, here, and
# folding the result into whichever skip/continue path runs below fixes
# that without adding a second Firestore write.
# TODO(server-26#127): flip this from shadow to live (skip extraction and
# write skip_reason="non_event_chatter" instead of just recording the
# verdict) once a live shadow-mode window confirms 0 false positives on
# real production traffic — pay particular attention to whole-transcript
# vs contains-anywhere matching for "roll call" and to digit-hyphen street
# addresses (e.g. "72-Holland"), both flagged as classifier risks that the
# dump backtest could not surface on its own.
chatter_is_chatter, chatter_reason = classify_chatter(transcript)
# Transcripts with ≤5 words carry no extractable intelligence — GPT hallucinates
# units and tags from thin context (e.g. "Main Lot", "10-4", "David").
if len(transcript.split()) <= 5:
@@ -213,11 +236,21 @@ async def extract_scenes(
await fstore.doc_set("calls", call_id, {
"skip_reason": "transcript_too_short",
"severity": "routine",
"chatter_classifier_verdict": chatter_is_chatter,
"chatter_classifier_reason": chatter_reason,
})
except Exception:
pass
return []
try:
await fstore.doc_set("calls", call_id, {
"chatter_classifier_verdict": chatter_is_chatter,
"chatter_classifier_reason": chatter_reason,
})
except Exception:
pass
raw_scenes: list[dict] = await asyncio.to_thread(
_sync_extract,
transcript, talkgroup_name, talkgroup_id, system_id, segments, vocabulary, ten_codes,
@@ -337,6 +370,10 @@ async def extract_scenes(
)
embedding = await asyncio.to_thread(_sync_embed, scene_text)
scene_transcript = _scene_transcript_text(
transcript, segments, segment_indices, transcript_corrected
)
processed.append({
"tags": tags,
"incident_type": incident_type,
@@ -348,6 +385,7 @@ async def extract_scenes(
"severity": severity,
"resolved": resolved,
"reassignment": reassignment,
"transcript": scene_transcript,
"transcript_corrected": transcript_corrected,
"segment_indices": segment_indices,
"embedding": embedding,
@@ -571,11 +609,49 @@ def _municipality_from_tg(tg_name: Optional[str]) -> Optional[str]:
def _build_transcript_block(transcript: str, segments: Optional[list[dict]]) -> str:
"""Format transcript as numbered transmissions if segments are available."""
if segments and len(segments) > 1:
lines = [f"{i+1}. [{s['start']}s] {s['text']}" for i, s in enumerate(segments)]
# 0-based labels, matching the prompt's "0-based indices into the
# numbered transmissions" — the model echoes these back as
# `segment_indices`, which _build_scene_embed_text and the per-scene
# `transcript` (server-26#102) then slice with directly.
lines = [f"{i}. [{s['start']}s] {s['text']}" for i, s in enumerate(segments)]
return f"Transmissions ({len(segments)}):\n" + "\n".join(lines)
return f"Transcript:\n{transcript}"
def _scene_transcript_text(
transcript: str,
segments: Optional[list[dict]],
segment_indices: Optional[list[int]],
transcript_corrected: Optional[str],
) -> str:
"""
This scene's own words, unprefixed — the segments it owns, joined.
server-26#102: the correlator's LLM tier reads this per scene instead of
the call doc's whole-call transcript, so on a multi-scene call scene N is
no longer judged against scenes 1..N-1's text.
Never returns "". Anything that would leave the slice empty — no
`segment_indices` (a single-segment call is never numbered by
`_build_transcript_block`), or indices that are out of range / not ints —
falls back to the whole-call transcript, which for a single-scene call is
the same text and for a mis-sliced multi-scene call is at least this
call's own words. `_sync_extract`'s prompt documents 0-based indices and
`_build_transcript_block` numbers to match, so no base normalisation here.
"""
if transcript_corrected:
return transcript_corrected
if segments and segment_indices:
joined = " ".join(
segments[i]["text"]
for i in segment_indices
if isinstance(i, int) and 0 <= i < len(segments)
)
if joined:
return joined
return transcript
def _build_scene_embed_text(
transcript: str,
segments: Optional[list[dict]],
+58 -10
View File
@@ -45,7 +45,18 @@ def _fmt_idle(inc: dict, now: datetime) -> str:
def _inc_summary(inc: dict, now: datetime) -> str:
# server-26#115: the model was given no title and no talkgroup, so it
# could not tell that "car alarms, Mohegan Park Ave" and "car alarms,
# Mohegan Park Avenue" on the same channel were one incident — it defaulted
# to "new". Title is the single strongest human-readable signal for "is
# this the same event"; talkgroup is what makes same-channel continuation
# obvious.
parts = [f"id:{inc['incident_id']}", f"type:{inc.get('type') or '?'}"]
tgs = inc.get("talkgroup_ids") or []
if tgs:
parts.append(f"tg:[{', '.join(str(t) for t in tgs[:3])}]")
if inc.get("title"):
parts.append(f"title:{inc['title']!r}")
if inc.get("location"):
parts.append(f"loc:{inc['location']}")
units = inc.get("units") or []
@@ -61,7 +72,13 @@ def _inc_summary(inc: dict, now: datetime) -> str:
def _call_block(ctx: dict) -> str:
lines = []
call_doc = ctx["call_doc"]
transcript = call_doc.get("transcript_corrected") or call_doc.get("transcript")
# The SCENE's own transcript, resolved in _build_context (server-26#102).
# Falls back to the call doc for a ctx built without a scene (tests, sweep).
transcript = (
ctx.get("scene_transcript")
or call_doc.get("transcript_corrected")
or call_doc.get("transcript")
)
if transcript:
lines.append(f"Transcript: {transcript[:700]}")
if ctx["tags"]:
@@ -74,19 +91,50 @@ def _call_block(ctx: dict) -> str:
lines.append(f"Units: {ctx['call_units']}")
if ctx["call_vehicles"]:
lines.append(f"Vehicles: {ctx['call_vehicles']}")
if ctx["talkgroup_name"]:
lines.append(f"Talkgroup: {ctx['talkgroup_name']}")
if ctx["talkgroup_name"] or ctx.get("talkgroup_id") is not None:
# Both the name and the id — _inc_summary emits numeric tg ids, so the
# id is what makes the "same talkgroup" rule in _RULES evaluable
# (server-26#115 review).
tgid = ctx.get("talkgroup_id")
name = ctx["talkgroup_name"] or "?"
lines.append(f"Talkgroup: {name}" + (f" (id {tgid})" if tgid is not None else ""))
return "\n".join(lines) if lines else "(no details)"
def _prompt_incidents(recent: list[dict]) -> list[dict]:
"""The ≤20 candidates shown to the model, most-recently-active first.
`ctx["recent"]` is an unordered slice of a Firestore result with no
order_by, so a busy 2h window (~40 active incidents) meant the model saw
an arbitrary half of the candidates (server-26#115 review). Sorting by
updated_at desc also makes each row's `idle:` field monotonic.
"""
def _key(inc: dict):
return str(inc.get("updated_at") or inc.get("started_at") or "")
return sorted(recent, key=_key, reverse=True)[:20]
_SCHEMA = '{"action": "link" | "new" | "orphan", "incident_id": "<id_string or null>", "reasoning": "<one sentence>"}'
_RULES = """
Rules:
- "link" only with clear positive evidence: same units, same geocoded location, or semantically identical scene on the same talkgroup within the last few minutes.
- A call on a DIFFERENT talkgroup than an incident requires unit overlap or geocoded location match — topic similarity alone is not enough.
- "new" only if the call has a clear incident_type AND describes a distinct, identifiable scene.
- "orphan" when in doubt — conservative is always correct.
Rules (this system OVER-SPLITS — a real incident routinely gets shattered into
5-10 duplicates. A wrong link is cheap; a duplicate incident is the failure
mode. Bias accordingly.):
- Prefer "link" when the call plausibly continues a recent incident ON THE SAME
TALKGROUP: same or overlapping units, the same or an adjacent location (treat
"Ave"/"Avenue", "St"/"Street", "Rd"/"Road" as identical; a house number plus
the same street is the same place), the same subject/vehicle/case number, or a
follow-up beat ("units clearing", "negative contact", "tow en route", "event
number 214-201", a status update) to an incident that is only a few minutes
idle. The bar for "link" on the same talkgroup is LOW.
- Reserve "new" for a call that clearly describes a DIFFERENT event from every
recent incident — a different place, different units, and a different subject,
not merely a different transmission about the same job.
- "orphan" a call that is not an incident at all: radio checks, roll call,
a unit marking on/off duty or 10-8/10-98, mileage/log entries, a bare
acknowledgement. Do not open a "new" incident for these.
- A call on a DIFFERENT talkgroup than an incident still requires unit overlap
or a geocoded/location match — topic similarity alone is not enough there.
- Do NOT link just because both calls involve police or both mention a road.
"""
@@ -95,7 +143,7 @@ def _build_decide_prompt(ctx: dict) -> str:
now = ctx["now"]
recent = ctx["recent"]
inc_block = (
"\n".join(_inc_summary(inc, now) for inc in recent[:20])
"\n".join(_inc_summary(inc, now) for inc in _prompt_incidents(recent))
if recent else "(none)"
)
return (
@@ -113,7 +161,7 @@ def _build_tiebreak_prompt(rules_decision: dict, llm_decision: dict, ctx: dict)
now = ctx["now"]
recent = ctx["recent"]
inc_block = (
"\n".join(_inc_summary(inc, now) for inc in recent[:20])
"\n".join(_inc_summary(inc, now) for inc in _prompt_incidents(recent))
if recent else "(none)"
)
@@ -20,6 +20,22 @@ from app.internal.logger import logger
from app.internal import firestore as fstore
from app.config import settings
# Standard link-only retry budget before a call is tombstoned corr_path="unlinked".
MAX_SWEEP_ATTEMPTS = 3
# server-26#115 — a call the consensus LLM-orphan gate parked (llm=orphan vs
# rules=new, no substance) gets a longer budget. The gate fires before any
# incident for the job may exist, so the substantive call that would justify
# linking can land well after the standard ~6 min. Still link-only: a genuinely
# thin call must not mint an incident, and the rules creation gate would re-orphan
# it anyway.
GATED_ORPHAN_SWEEP_ATTEMPTS = 10
def _max_sweep_attempts(call: dict) -> int:
if call.get("corr_consensus") == "llm_orphan_gate":
return GATED_ORPHAN_SWEEP_ATTEMPTS
return MAX_SWEEP_ATTEMPTS
async def recorrelation_loop() -> None:
interval = settings.summary_interval_minutes * 60
@@ -46,10 +62,9 @@ async def _run_sweep_pass() -> None:
("status", "==", "ended"),
("ended_at", ">=", cutoff),
])
# corr_path="unlinked" is written after MAX_SWEEP_ATTEMPTS failures.
# corr_path="unlinked" is written after the attempt budget is exhausted.
# Allows a few retries so a welfare-check call can link to an escalation
# incident that is created a few minutes later, without sweeping 30× forever.
MAX_SWEEP_ATTEMPTS = 3
orphans = [
c for c in recent_ended
if not c.get("incident_ids") and not c.get("incident_id")
@@ -61,7 +76,7 @@ async def _run_sweep_pass() -> None:
# the thin path minutes later and attached to whatever was most recent —
# a second route into the over-merge the thin fix above addresses.
and not c.get("skip_reason")
and c.get("corr_sweep_count", 0) < MAX_SWEEP_ATTEMPTS
and c.get("corr_sweep_count", 0) < _max_sweep_attempts(c)
]
if not orphans:
@@ -108,6 +123,7 @@ async def _recorrelate_orphan(call: dict) -> bool:
cleared_units = call.get("cleared_units") or [],
embedding = call.get("embedding"),
severity = call.get("severity"),
transcript = call.get("transcript_corrected") or call.get("transcript"),
reference_time = started_at, # anchor window to when the call happened
create_if_new = False, # never create — link-only
)
@@ -119,12 +135,12 @@ async def _recorrelate_orphan(call: dict) -> bool:
)
return True
# Increment the attempt counter. Once MAX_SWEEP_ATTEMPTS is reached the
# orphan filter above will stop picking this call up, and we write
# corr_path="unlinked" as a permanent tombstone.
# Increment the attempt counter. Once the budget is reached the orphan filter
# above will stop picking this call up, and we write corr_path="unlinked" as
# a permanent tombstone.
attempts = call.get("corr_sweep_count", 0) + 1
update: dict = {"corr_sweep_count": attempts}
if attempts >= 3:
if attempts >= _max_sweep_attempts(call):
update["corr_path"] = "unlinked"
await fstore.doc_set("calls", call_id, update)
return False
+54 -3
View File
@@ -15,6 +15,39 @@ from app.internal import firestore as fstore
from app.config import settings
def _scene_sort_key(scene_index: str):
"""Numeric-first sort so a >=10-scene call's entries still read in order."""
return (0, int(scene_index)) if scene_index.isdigit() else (1, scene_index)
def _scene_text_for_incident(doc: dict, incident_id: str) -> Optional[str]:
"""
The text of `doc` (a call doc) that actually belongs to `incident_id`.
server-26#96 records, per scene, which incident_id that scene's
correlation decision resolved to (incident_correlator._apply_and_log's
`scenes.<index>.incident_id`). Use that to pick only the scene(s) of this
call that are genuinely part of this incident, joining more than one if
several scenes happened to link into the same incident.
Falls back to transcript_corrected-or-transcript when the call doc has no
`scenes` field (predates server-26#96) or — defensively — when it has one
but nothing in it names this incident_id (should not happen for a call_id
that's actually in this incident's call_ids, but silently dropping a
call's contribution to its own summary would be a worse failure mode than
falling back to the whole-call text).
"""
scenes = doc.get("scenes") or {}
matched = [
scene.get("transcript")
for _, scene in sorted(scenes.items(), key=lambda kv: _scene_sort_key(kv[0]))
if scene.get("incident_id") == incident_id and scene.get("transcript")
]
if matched:
return "\n".join(matched)
return doc.get("transcript_corrected") or doc.get("transcript")
async def summarizer_loop() -> None:
from app.internal.feature_flags import get_flags
interval = settings.summary_interval_minutes * 60
@@ -63,12 +96,30 @@ async def _summarize_incident(inc: dict) -> None:
if not call_ids:
return
# Fetch transcripts for all calls in this incident
# Fetch transcripts for all calls in this incident.
#
# server-26#114: a call links into an incident one SCENE at a time (see
# incident_correlator._apply_decision / server-26#96's `scenes` map on the
# call doc), and the same call_id can appear in more than one incident's
# call_ids — once per scene, each scene possibly landing in a different
# incident. Reading doc["transcript"] (the whole call, raw) meant an
# incident's summary was built partly on text from a DIFFERENT scene of
# that call that this incident has nothing to do with, and ignored
# transcript_corrected entirely.
#
# _scene_text_for_incident reads the specific scene(s) whose corr_debug
# recorded a link into THIS incident_id. For a call doc that predates
# this fix (no `scenes` field) it falls back to
# transcript_corrected-or-transcript — the one-liner half of #114, worth
# doing even for old-schema docs since it stops raw-transcript summaries.
transcripts: list[str] = []
for cid in call_ids:
doc = await fstore.doc_get("calls", cid)
if doc and doc.get("transcript"):
transcripts.append(doc["transcript"])
if not doc:
continue
text = _scene_text_for_incident(doc, incident_id)
if text:
transcripts.append(text)
if not transcripts:
# No transcripts yet — clear stale flag and wait for next pass
+24 -17
View File
@@ -78,33 +78,40 @@ async def lifespan(app: FastAPI):
app = FastAPI(title="DRB C2 Core", lifespan=lifespan)
# "*" plus allow_credentials=True is not the permissive-but-harmless setting it
# looks like. Starlette does not refuse the combination -- it reflects the
# caller's Origin back and still sends Access-Control-Allow-Credentials: true,
# so the effective policy becomes "any origin, with credentials", the opposite
# of what a wildcard normally means. Rather than trust every deployment to
# remember to override CORS_ORIGINS, make the dangerous pair unrepresentable.
# The browser needs CORS to reach this API at all: the frontend's Archive page
# calls GET /calls/search with Authorization + Content-Type headers, which
# forces a preflight. Without this middleware the OPTIONS gets a bare 405 and
# the fetch fails (#110). allow_origins is an explicit list -- never "*" in a
# deployment -- so name every host the frontend is served from in CORS_ORIGINS.
#
# allow_credentials stays False on purpose: auth here is a Bearer header, not a
# cookie, so credentialed CORS is never needed, and keeping it False is what
# lets an explicit-origin allowlist work without Starlette's "*"-only
# restriction. "*" + credentials is the dangerous pair (Starlette reflects the
# caller's Origin back WITH Access-Control-Allow-Credentials: true); this code
# cannot produce it because credentials are hard-off.
def cors_allows_credentials(origins: list[str]) -> bool:
"""False when any entry is a wildcard. Extracted so it can be tested
without re-importing this module, which drags in every router."""
return "*" not in origins
"""Always False -- credentialed CORS is never enabled here (Bearer auth,
not cookies). Kept as a named predicate so a future edit that wants to
turn credentials on has to go through here and confront the "*" case.
A wildcard entry would additionally be refused a credentialed response."""
return False
_cors_is_wildcard = not cors_allows_credentials(settings.cors_origins)
_cors_is_wildcard = "*" in settings.cors_origins
if _cors_is_wildcard:
logger.error(
"CORS_ORIGINS is '*', so credentialed cross-origin requests are being "
"DISABLED to avoid reflecting every caller's origin back with "
"Access-Control-Allow-Credentials. Set CORS_ORIGINS to your frontend "
"origin(s) in production, e.g. [\"https://app.example.com\"]."
"CORS_ORIGINS contains '*'. That is fine for local dev but is almost "
"certainly a misconfigured deployment -- set CORS_ORIGINS to your "
"frontend origin(s), e.g. [\"https://drb.cusano.net\"]."
)
app.add_middleware(
CORSMiddleware,
allow_origins=settings.cors_origins,
allow_methods=["*"],
allow_headers=["*"],
allow_credentials=not _cors_is_wildcard,
allow_methods=["GET", "POST", "PUT", "PATCH", "DELETE", "OPTIONS"],
allow_headers=["authorization", "content-type"],
allow_credentials=False,
)
app.include_router(nodes.router, dependencies=[Depends(require_service_or_firebase_token)])
+100 -5
View File
@@ -97,8 +97,54 @@ async def debug_correlation(
def _strip(doc: dict) -> dict:
return {k: v for k, v in doc.items() if k != "embedding"}
def _call_summary(call: dict) -> dict:
def _scene_summary(scene_index: str, scene: dict) -> dict:
"""
One scene's own correlation record, from the call doc's `scenes` map
(server-26#96). Same corr_* field names as _call_summary's flat
fields below, deliberately — a scene entry and a scene-less call
summary are interchangeable data points to the tally functions.
"""
corr_debug = scene.get("corr_debug") or {}
return {
"scene_index": scene_index,
"transcript": scene.get("transcript"),
"incident_id": scene.get("incident_id"),
# server-26#139: this scene's OWN incident_type/severity, as seen
# by _call_is_substanceless at decision time — not the call doc's
# flat top-level field, which is last-scene-wins (server-26#96).
"incident_type": scene.get("incident_type"),
"severity": scene.get("severity"),
"corr_path": corr_debug.get("corr_path"),
"corr_incident_idle_min": corr_debug.get("corr_incident_idle_min"),
"corr_distance_km": corr_debug.get("corr_distance_km"),
"corr_score": corr_debug.get("corr_score"),
"corr_candidates": corr_debug.get("corr_candidates"),
"corr_shared_units": corr_debug.get("corr_shared_units"),
"corr_fit_signal": corr_debug.get("corr_fit_signal"),
"corr_matched_units": corr_debug.get("corr_matched_units"),
"corr_consensus": corr_debug.get("corr_consensus"),
"corr_llm_reasoning": corr_debug.get("corr_llm_reasoning"),
"corr_llm_action": corr_debug.get("corr_llm_action"),
"corr_rules_action": corr_debug.get("corr_rules_action"),
"corr_gate_veto": corr_debug.get("corr_gate_veto"),
}
def _call_summary(call: dict) -> dict:
# server-26#96 — per-scene records, keyed by scene index as written by
# incident_correlator._apply_and_log. Present only on calls that went
# through correlation after this fix landed; absent (None) on older
# call docs, which the tally below falls back for. Sorted numerically
# so a >=10-scene call still reads in scene order.
scenes_map = call.get("scenes") or {}
scenes = [
_scene_summary(idx, s)
for idx, s in sorted(
scenes_map.items(),
key=lambda kv: (0, int(kv[0])) if kv[0].isdigit() else (1, kv[0]),
)
] or None
return {
"scenes": scenes,
"call_id": call.get("call_id"),
"started_at": call.get("started_at"),
"ended_at": call.get("ended_at"),
@@ -135,6 +181,19 @@ async def debug_correlation(
"corr_llm_reasoning": call.get("corr_llm_reasoning"),
"corr_llm_action": call.get("corr_llm_action"),
"corr_rules_action": call.get("corr_rules_action"),
# server-26#115 — why an llm=orphan/rules=new disagreement escalated
# to tiebreak instead of being gated (see upload.py's
# _call_is_substanceless). Present only on that disagreement shape;
# written here specifically so a live measurement window can read
# the reason instead of reconstructing it by hand from the dump.
"corr_gate_veto": call.get("corr_gate_veto"),
# server-26#127 — shadow-mode upstream chatter classifier verdict.
# Written by intelligence.extract_scenes on every transcript that
# reaches real scene extraction (not on garbage/too-short skips).
# Nothing skips extraction on this yet — it's here purely so a
# live measurement window can read the false-positive rate.
"chatter_classifier_verdict": call.get("chatter_classifier_verdict"),
"chatter_classifier_reason": call.get("chatter_classifier_reason"),
}
# ── Determine which systems have AI active ────────────────────────────────
@@ -258,6 +317,21 @@ async def debug_correlation(
linked = [c for inc in incident_records for c in (inc.get("calls_detail") or [])]
call_counts = [len(inc.get("call_ids") or []) for inc in incident_records]
def _tally_entries(call_summary: dict) -> list:
"""
server-26#96 — the unit correlation actually decided over is the
scene, not the call. A call summary carrying a `scenes` list (every
call correlated after this fix) contributes one entry per scene, each
with its own corr_path/corr_consensus/etc, instead of the single flat
record that used to blend every scene's last write together. A call
summary with no `scenes` (a call doc from before this fix) falls back
to contributing itself as one entry — identical to pre-#96 behaviour.
"""
scenes = call_summary.get("scenes")
return scenes if scenes else [call_summary]
scene_entries = [entry for c in linked for entry in _tally_entries(c)]
def _span_minutes(inc: dict) -> float:
stamps = sorted(
s for s in ((c.get("started_at") or "") for c in (inc.get("calls_detail") or [])) if s
@@ -289,10 +363,31 @@ async def debug_correlation(
"ai_systems_only": ai_systems_only,
"ai_enabled_system_ids": sorted(ai_systems),
"linked_call_count": len(linked),
"corr_path": _tally(c.get("corr_path") for c in linked),
"corr_fit_signal": _tally(c.get("corr_fit_signal") for c in linked),
"corr_consensus": _tally(c.get("corr_consensus") for c in linked),
"corr_llm_action": _tally(c.get("corr_llm_action") for c in linked),
# server-26#96 — tallied over scene_entries (one entry per scene of a
# multi-scene call, from its `scenes` map; one entry per call when it
# has none) rather than over `linked` directly, so a 2-scene call
# with two different corr_path values counts as two data points
# instead of one blended flat record. scene_decision_count makes that
# distinction visible next to linked_call_count.
"scene_decision_count": len(scene_entries),
"corr_path": _tally(e.get("corr_path") for e in scene_entries),
"corr_fit_signal": _tally(e.get("corr_fit_signal") for e in scene_entries),
"corr_consensus": _tally(e.get("corr_consensus") for e in scene_entries),
"corr_llm_action": _tally(e.get("corr_llm_action") for e in scene_entries),
# server-26#115 — this IS the number the escape-hatch fix exists to
# produce: why each llm=orphan/rules=new call escaped the gate.
"corr_gate_veto": _tally(e.get("corr_gate_veto") for e in scene_entries),
# server-26#127 — shadow-mode chatter classifier. The target
# population is non-events, which land as orphans or single-call
# incidents, NOT as a slice of every linked call -- tally `orphans`
# too or this undercounts the exact thing the feature measures.
"chatter_classifier_flagged": sum(
1 for c in (linked + orphans) if c.get("chatter_classifier_verdict")
),
"chatter_classifier_reason": _tally(
c.get("chatter_classifier_reason") for c in (linked + orphans)
if c.get("chatter_classifier_verdict")
),
# STT coverage: correlation quality is capped by this, so it belongs in
# the same view rather than a separate investigation.
"linked_calls_with_transcript": with_transcript,
+9
View File
@@ -260,6 +260,15 @@ async def patch_transcript(
"vehicles": [],
"embedding": None,
})
# server-26#96/#114 review: doc_set(merge=True) can only ADD/overwrite keys
# in a nested map, never remove one, so the fields above get cleared but a
# prior `scenes` map would survive re-extraction forever. A call corrected
# from 3 scenes down to 1 would keep scenes.1/scenes.2 with pre-correction
# transcripts and incident_ids -- corrupting the exact per-scene tally #96
# exists to make trustworthy, and re-feeding stale text into #114's
# summarizer fix if a stale scene's incident_id still names a real
# incident. Must be a real delete, not a merge over an empty map.
await fstore.doc_update("calls", call_id, {"scenes": fstore.DELETE_FIELD})
# Unlink from ALL current incidents so re-correlation starts clean.
# Handles both old single incident_id and new incident_ids list.
+150 -3
View File
@@ -100,6 +100,98 @@ async def upload_call_audio(
return {"url": gcs_uri}
# server-26#115 — the consensus LLM-orphan gate only fires when the call is
# genuinely substanceless. The earlier version tested `rules_decision["corr_debug"]`
# for a "positive signal", but corr_debug is EMPTY at preview time for
# action=="new" (corr_path:"new" is written at APPLY time), so that test was
# always False and the gate dropped real events — a major "extinguishing fire",
# geocoded calls, pursuit updates. The substance test now runs against `ctx`,
# which is fully populated at preview time.
def _recent_incident_on_same_talkgroup(ctx: dict) -> bool:
"""
True when a recent incident is running on this call's own system +
talkgroup, within `settings.tg_dispatch_thin_idle_minutes` (5 min) —
applied uniformly regardless of the talkgroup's name (server-26#134).
Covers "unit dispatched, thin ack 10-30s later": the ack has no
substance of its own but plainly belongs to the job just opened.
Reads ctx["recent"] (the rules engine's own candidate list — no extra
Firestore read). That list is status=="active" incidents only, so an
already-resolved or capacity-capped same-talkgroup incident won't be
seen here even if chronologically recent (server-26#115, unresolved —
would need a dedicated non-status-filtered query).
Whether this limitation explains the 2/24 unexplained gate misses in the
window #3 measurement is UNANSWERED, not confirmed either way — a prior
pass here claimed a "confirmed explanation" for both that turned out to
be self-contradictory. Read `corr_gate_veto` (written to corr_debug on
every escalation of this exact disagreement shape — see the caller) in
the next measurement window instead of guessing from the raw dump again.
# TODO(server-26#115): add a talkgroup-scoped incident lookup (any
# status, no capacity filter) if a future measurement window pins a real
# gate miss on a resolved/capped same-talkgroup incident.
"""
from app.internal.incident_correlator import _idle_gate_minutes
tg_id = ctx.get("talkgroup_id")
system_id = ctx.get("system_id")
if tg_id is None or not system_id:
return False
tg_str = str(tg_id)
now = ctx.get("now") or datetime.now(timezone.utc)
idle_limit = settings.tg_dispatch_thin_idle_minutes
for inc in ctx.get("recent") or []:
if system_id not in (inc.get("system_ids") or []):
continue
if tg_str not in (inc.get("talkgroup_ids") or []):
continue
if _idle_gate_minutes(inc, now) <= idle_limit:
return True
return False
def _call_is_substanceless(ctx: dict) -> tuple[bool, Optional[str]]:
"""
True when the call carries nothing that marks it as a real event:
• no resolved incident_type and not a reassignment, AND
• severity is not moderate/major, AND
• no vehicle, geocode or tag (incident_correlator.has_event_substance —
the same predicate the incident-creation gate uses), AND
• no recent incident already running on the same talkgroup.
Only then may the LLM-orphan gate drop the call without a tiebreak.
Returns (substanceless, veto_reason). veto_reason names whichever
condition kept the tiebreak alive ("type" | "reassignment" | "severity" |
"substance" | "recent_tg"), or None when the call is substanceless. The
caller writes this into corr_debug on the escalation path so a live
measurement window can see *why* each llm=orphan/rules=new call escaped
the gate instead of inferring it after the fact from the raw dump —
exactly the guesswork that produced a wrong "confirmed explanation" for
2 window-#3 misses on the first pass of this fix.
"""
from app.internal import incident_correlator
# The incident-creation gate skips the has_event_substance check entirely
# when a type resolved (incident_correlator._run_decision ~:1397), so a
# typed call — fire/medical/etc. — opens an incident on substance we do not
# re-check here. reassignment=True is dispatch pulling a unit onto a NEW
# job (units are blanked at :296 for exactly that reason): the strongest
# new-incident signal in the pipeline. Either one means "keep the tiebreak".
if ctx.get("incident_type"):
return False, "type"
if ctx.get("reassignment"):
return False, "reassignment"
if (ctx.get("call_severity") or "routine") in ("moderate", "major"):
return False, "severity"
if incident_correlator.has_event_substance(ctx):
return False, "substance"
if _recent_incident_on_same_talkgroup(ctx):
return False, "recent_tg"
return True, None
async def _correlate_with_consensus(
call_id: str,
node_id: str,
@@ -116,6 +208,8 @@ async def _correlate_with_consensus(
reassignment: bool = False,
embedding: Optional[list] = None,
severity: Optional[str] = None,
transcript: Optional[str] = None,
scene_index: int = 0,
) -> Optional[str]:
"""
Consensus correlator: runs the rules engine and the cheap LLM in sequence.
@@ -124,6 +218,11 @@ async def _correlate_with_consensus(
Falls back to rules-only when GEMINI_API_KEY is absent, the call is
content-free (thin), or any LLM call fails.
``scene_index`` (server-26#96) — which scene of the call this is, from the
caller's ``enumerate(scenes)`` loop. Threaded through so the call doc's
per-scene ``scenes`` map records this scene's own corr_debug/transcript
instead of colliding with every other scene's write on the flat fields.
"""
from app.internal import incident_correlator, llm_correlator
@@ -133,7 +232,8 @@ async def _correlate_with_consensus(
tags=tags, incident_type=incident_type, location=location,
location_coords=location_coords, units=units, vehicles=vehicles,
cleared_units=cleared_units, reassignment=reassignment,
embedding=embedding, severity=severity,
embedding=embedding, severity=severity, transcript=transcript,
scene_index=scene_index,
)
ctx = preview["ctx"]
rules_decision = preview["decision"]
@@ -150,6 +250,37 @@ async def _correlate_with_consensus(
rules_decision["corr_debug"]["corr_llm_reasoning"] = llm_decision.get("reasoning", "")
return await incident_correlator.apply_correlation(preview)
# server-26#115 — LLM-orphan gate.
# When the cheap LLM says `orphan`, the rules engine says `new`, and the call
# is genuinely substanceless (routine severity, no vehicle/geocode/tag, and
# no incident already running on this talkgroup), resolve to `orphan` and DO
# NOT pay for the smart tiebreaker. A bare rules `new` there means only
# "nothing to link to" — trivially true for radio housekeeping (check-ins,
# roll call, 10-8/10-98) — and the tiebreaker rubber-stamped it ~21/21 of the
# time on exactly this disagreement (CORRELATION_REVIEW_0907b.md). Any real
# signal (severity, coords, tags, a live same-talkgroup incident) still
# escalates, so an event the LLM misreads as orphan is not lost.
is_orphan_vs_new = llm_decision["action"] == "orphan" and rules_decision["action"] == "new"
substanceless, gate_veto_reason = _call_is_substanceless(ctx) if is_orphan_vs_new else (False, None)
if is_orphan_vs_new and substanceless:
logger.info(
f"Consensus gate for call {call_id}: llm=orphan vs rules=new and call "
f"is substanceless — resolving orphan, skipping tiebreak"
)
gated = {
"action": "orphan",
"matched_incident": None,
"incident_type": None,
"corr_debug": dict(rules_decision.get("corr_debug") or {}),
}
gated["corr_debug"].update({
"corr_consensus": "llm_orphan_gate",
"corr_rules_action": rules_decision["action"],
"corr_llm_action": llm_decision["action"],
"corr_llm_reasoning": llm_decision.get("reasoning", ""),
})
return await incident_correlator.apply_correlation({"decision": gated, "ctx": ctx})
# Disagree — escalate to the smarter tiebreaker.
logger.info(
f"Consensus disagreement for call {call_id}: "
@@ -159,6 +290,12 @@ async def _correlate_with_consensus(
final["corr_debug"]["corr_consensus"] = "tiebreak"
final["corr_debug"]["corr_rules_action"] = rules_decision["action"]
final["corr_debug"]["corr_llm_action"] = llm_decision["action"]
if is_orphan_vs_new:
# server-26#115 — record *why* the llm=orphan/rules=new gate stood
# down instead of leaving a future measurement window to guess it
# from the raw dump (which produced a wrong "confirmed explanation"
# for 2/24 misses the first time around).
final["corr_debug"]["corr_gate_veto"] = gate_veto_reason
return await incident_correlator.apply_correlation({"decision": final, "ctx": ctx})
@@ -204,7 +341,10 @@ async def _run_extraction_pipeline(
)
# Step 3: Correlate each scene to an incident independently.
for scene in scenes:
# server-26#96: scene_index is threaded through so each scene's
# corr_debug/transcript lands in its own entry of the call doc's
# `scenes` map instead of clobbering every other scene's write.
for scene_index, scene in enumerate(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.
@@ -226,6 +366,8 @@ async def _run_extraction_pipeline(
reassignment=is_reassignment,
embedding=scene.get("embedding"),
severity=scene.get("severity"),
transcript=scene.get("transcript"),
scene_index=scene_index,
)
if incident_id and incident_id not in incident_ids:
incident_ids.append(incident_id)
@@ -323,7 +465,10 @@ async def _run_intelligence_pipeline(
incident_ids: list[str] = []
all_tags: list[str] = []
if _flag("correlation_enabled"):
for scene in scenes:
# server-26#96: scene_index is threaded through so each scene's
# corr_debug/transcript lands in its own entry of the call doc's
# `scenes` map instead of clobbering every other scene's write.
for scene_index, scene in enumerate(scenes):
all_tags.extend(scene["tags"])
is_reassignment = bool(scene.get("reassignment"))
corr_units = [] if is_reassignment else scene.get("units")
@@ -343,6 +488,8 @@ async def _run_intelligence_pipeline(
reassignment=is_reassignment,
embedding=scene.get("embedding"),
severity=scene.get("severity"),
transcript=scene.get("transcript"),
scene_index=scene_index,
)
if incident_id and incident_id not in incident_ids:
incident_ids.append(incident_id)
+4
View File
@@ -34,6 +34,10 @@ except ModuleNotFoundError:
# into dicts that tests compare against, and a MagicMock compares unequal
# to itself across attribute accesses.
_fs.SERVER_TIMESTAMP = "__SERVER_TIMESTAMP__"
# Same reasoning as SERVER_TIMESTAMP above: a distinct sentinel, not a
# MagicMock, so `fstore.DELETE_FIELD is fs.DELETE_FIELD` and dict/`is`
# comparisons against it in tests (server-26#96/#114, PR #132) behave.
_fs.DELETE_FIELD = "__DELETE_FIELD__"
_auth = ModuleType("firebase_admin.auth")
_auth.verify_id_token = MagicMock()
@@ -89,3 +89,75 @@ async def test_debug_correlation_llm_fields_absent_when_rules_only():
assert detail["corr_consensus"] == "rules_only"
assert detail["corr_llm_reasoning"] is None
assert detail["corr_llm_action"] is None
# ---------------------------------------------------------------------------
# server-26#96 — the summary tally must count per-scene decisions, not the
# one blended flat record a multi-scene call used to leave behind.
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_debug_correlation_exposes_scenes_and_tallies_each_as_its_own_datapoint():
"""A 2-scene call: the flat fields still show last-scene-wins (unchanged
behaviour for old readers), but the summary tally must see two distinct
corr_path/corr_consensus data points, not one blend."""
call = {
"call_id": "call-1",
# Flat fields — last scene wins, kept as-is for backward compat.
"corr_path": "slow",
"corr_consensus": "tiebreak",
"scenes": {
"0": {
"transcript": "scene zero",
"incident_id": "inc-1",
"corr_debug": {"corr_path": "new", "corr_consensus": "agreed"},
},
"1": {
"transcript": "scene one",
"incident_id": "inc-1",
"corr_debug": {"corr_path": "slow", "corr_consensus": "tiebreak"},
},
},
}
result = await _run([_incident(["call-1"])], {"call-1": call})
detail = result["incidents"][0]["calls_detail"][0]
assert detail["corr_path"] == "slow" # flat field: last scene wins
assert len(detail["scenes"]) == 2
assert detail["scenes"][0]["corr_path"] == "new"
assert detail["scenes"][1]["corr_path"] == "slow"
summary = result["summary"]
assert summary["linked_call_count"] == 1 # still one CALL
assert summary["scene_decision_count"] == 2 # but two DECISIONS
assert summary["corr_path"] == {"new": 1, "slow": 1}
assert summary["corr_consensus"] == {"agreed": 1, "tiebreak": 1}
@pytest.mark.asyncio
async def test_debug_correlation_tally_falls_back_for_single_scene_call():
"""A plain single-scene call has no `scenes` field at all — the tally
must fall back to its flat fields as one data point, same as pre-#96."""
call = {"call_id": "call-2", "corr_path": "fast/single", "corr_consensus": "rules_only"}
result = await _run([_incident(["call-2"])], {"call-2": call})
detail = result["incidents"][0]["calls_detail"][0]
assert detail["scenes"] is None
summary = result["summary"]
assert summary["linked_call_count"] == 1
assert summary["scene_decision_count"] == 1
assert summary["corr_path"] == {"fast/single": 1}
assert summary["corr_consensus"] == {"rules_only": 1}
@pytest.mark.asyncio
async def test_debug_correlation_tally_handles_old_schema_call_with_no_scenes_field():
"""A call doc written before server-26#96 has never heard of `scenes` —
must behave identically to the single-scene case, not error."""
old_call = {"call_id": "call-3", "corr_path": "cross-tg", "corr_consensus": "agreed"}
result = await _run([_incident(["call-3"])], {"call-3": old_call})
summary = result["summary"]
assert summary["scene_decision_count"] == 1
assert summary["corr_path"] == {"cross-tg": 1}
@@ -0,0 +1,144 @@
"""
server-26#127 — upstream dispatch-vs-chatter classifier, shadow mode.
Fixtures are real transcripts, not invented ones: pulled from
`corr_dump_9-7_0437am.json`, `corr_dump_9-7_pm.json`, `corr_dump_9-12.json`
and the hand-labeled examples in `CORRELATION_REVIEW_0907b.md` /
`CORRELATION_REVIEW_0912.md`. The "must classify False" set specifically
includes every transcript those review docs flagged as dangerous to drop —
a false positive here is a real event silently losing its scene once this
classifier ever goes live, which is a much worse failure than a missed
chatter call staying in the existing (already-working) pipeline.
"""
import pytest
from app.internal.chatter_classifier import classify_chatter
# ─────────────────────────────────────────────────────────────────────────────
# Must classify as chatter
# ─────────────────────────────────────────────────────────────────────────────
CHATTER_EXAMPLES = [
# Bare acknowledgements / unit check-ins (CORRELATION_REVIEW_0907b.md)
("114 Paul.\n114 Paul, Metro Central.\n10-4.", "bare_acknowledgement"),
("Affirmative, in charge of 10-8. 10-8, 10-4.", "bare_acknowledgement"),
("6-8, you can show me 98. 10-4.", "bare_acknowledgement"),
("10-4, 10-4 Central, 98. 10-4, 98.", "bare_acknowledgement"),
("7 for Post 1 and 2, 98. Affirm.", "bare_acknowledgement"),
("11-Victor to Central. 11-Victor. 72-Holland, 1-5. Central.", "bare_acknowledgement"),
# Roll call (CORRELATION_REVIEW_0907b.md / _0912.md)
("Post 4, Ossining. And to volunteer patrol, stand by for roll call.", "roll_call"),
("Headquarters to all cars, stand by for roll call.", "roll_call"),
("All Troop NYC Patrols, stand by for roll call.", "roll_call"),
(
"Car 100, roll call.\nHenry 1.\nHenry 1.\nSam 1.\nSam 1.\n45 Baker.\n"
"45 Baker.\n11 Adam.\nAdam.\n11 Baker.\nBaker.\nStaff 1.\n1.\nStaff 2.",
"roll_call",
),
(
"Headquarters, all cars on a roll call. Baker 1? Baker 1. Henry 1? "
"Henry 1. Sam 2? Sam 2. 11 Adam? 11. 11 Baker? 11 Baker.",
"roll_call",
),
("Because all cars came out for roll call.", "roll_call"),
("10-1. KL Cars, that concludes roll call, time is 3-31.", "roll_call"),
# Minimal single-word / bare-code transmissions (orphan pool, all 3 dumps)
("10-4.", "bare_acknowledgement"),
("Roger.", "bare_acknowledgement"),
("Clear.", "bare_acknowledgement"),
("Affirmative.", "bare_acknowledgement"),
("Received.", "bare_acknowledgement"),
("10-8, clear. 10-4.", "bare_acknowledgement"),
("Post 4, 10-8. 10-4.", "bare_acknowledgement"),
("Central to 6 Henry.", "bare_acknowledgement"),
]
@pytest.mark.parametrize("transcript,expected_reason", CHATTER_EXAMPLES)
def test_classifies_chatter(transcript, expected_reason):
is_chatter, reason = classify_chatter(transcript)
assert is_chatter is True
assert reason == expected_reason
# ─────────────────────────────────────────────────────────────────────────────
# Must NOT classify as chatter — real events, including every transcript the
# review docs specifically named as dangerous to drop.
# ─────────────────────────────────────────────────────────────────────────────
REAL_EVENT_EXAMPLES = [
# The major "extinguishing fire" call (severity=major, tags=[extinguishing-fire])
("Dispatch, this is 7-4, extinguishing fire.", "extinguishing_fire"),
# Geocoded 911-hangup call (has location_coords)
(
"7, Charlie. Charlie, check and advise, we've got a call for service "
"coming over, it's going to be a 9-1-1 hangout, no voice contact. "
"Looks like it was an automated message saying it's the Doral Hat Company.",
"geocoded_911_hangup",
),
# Pursuit updates (severity=major, tags include pursuit / low-speed-pursuit)
("I'm aware of that one. It's a low-speed pursuit. It's refusing to pull over.", "low_speed_pursuit"),
(
"1. Headquarters to 5-charlie. I'm going to say the last thing to anyone.\n"
"2. Info, Sgt. Repeat.\n"
"3. The SP is on a pursuit southbound on I-684. It's approaching the airport.\n"
"4. Okay, thank you.\n5. 23-59.",
"pursuit_i684",
),
# "6 Alpha ... Pelham Station" subject check (CORRELATION_REVIEW_0907b.md's
# own "genuinely distinct events" list) — looks like a bare check-in but
# dispatches a unit to a specific location.
(
"6 Alpha, this is Central. 7 Alpha here.\n"
"6 Alpha, can you show me on scene at Pelham Station? Stand by.",
"pelham_station_subject_check",
),
# Property-retrieval call (tags=[property-retrieval])
(
"Property was retrieved with a 911. Can I get a phone number? 10-4. "
"Phone number is 214792. 214792.",
"property_retrieval",
),
# Subject check south of Maronex Station (tags=[subject-check])
(
"Proceed. Show me on a subject south of Maronex Station. Can I get a "
"15 check by New York client ID?",
"maronex_subject_check",
),
# Trespassing at milepost 13.7 (tags=[trespassing])
(
"Can you just 10-5 that job? You came over real muffled.\n"
"10-4, there's going to be a trespass on the tracks.\n"
"Train 8755 reports two juveniles, one male, one female, both wearing "
"white shirts, track three side, at milepost 13.7.",
"trespass_milepost_13_7",
),
# MVA (severity=moderate, tags=[traffic-accident])
("1. Train patrol 9.\n2. MVA 4, how close is it?\n3. 10-4.", "mva"),
]
@pytest.mark.parametrize("transcript,label", REAL_EVENT_EXAMPLES, ids=[l for _, l in REAL_EVENT_EXAMPLES])
def test_does_not_classify_real_events_as_chatter(transcript, label):
is_chatter, reason = classify_chatter(transcript)
assert is_chatter is False, f"{label}: false positive, reason={reason!r}"
assert reason is None
# ─────────────────────────────────────────────────────────────────────────────
# Edge cases
# ─────────────────────────────────────────────────────────────────────────────
def test_empty_transcript_not_chatter():
assert classify_chatter("") == (False, None)
assert classify_chatter(None) == (False, None)
assert classify_chatter(" ") == (False, None)
def test_unrecognized_content_defaults_to_not_chatter():
# Anything containing real descriptive words the classifier doesn't
# recognize must fall through to (False, None), not guess.
is_chatter, reason = classify_chatter("Shots fired, officer down, requesting backup immediately.")
assert is_chatter is False
assert reason is None
+430
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@@ -0,0 +1,430 @@
"""
server-26#115 — two consensus-quality fixes.
Fix 1 (routers/upload.py): when the cheap LLM says `orphan`, the rules engine
says `new`, and the call is genuinely SUBSTANCELESS (routine severity, no
vehicle/geocode/tag, and no incident already running on the same talkgroup),
resolve to `orphan` and DO NOT pay for the smart tiebreaker. Radio housekeeping
(unit check-ins, roll call, 10-8/10-98) was being promoted to incidents because
the tiebreaker rubber-stamped the rules `new` ~21/21 of the time
(CORRELATION_REVIEW_0907b.md).
The substance test runs against `ctx` (fully populated at preview time), NOT
against `rules_decision["corr_debug"]` — that dict is EMPTY at preview time for
action=="new" (corr_path:"new" is written at APPLY time), so the first version of
this gate fired on real events (a `major` "extinguishing fire", geocoded calls,
pursuit updates).
Fix 2 (incident_correlator.py): the `location` correlation path linked on a bare
sub-`location_proximity_km` (0.5 km) distance alone, taking whichever incident
came first in an unsorted `recent`. In a dense village two unrelated events
routinely geocode that close. A `location` link now needs unit overlap with the
candidate OR a distance under a tighter bar, and picks the NEAREST qualifying
candidate. A unit-overlap location link is tagged `location_unit_overlap` so it
does not merge into the fast path's bucket in the admin fit-signal histogram.
"""
from datetime import datetime, timedelta, timezone
from unittest.mock import AsyncMock, patch
import pytest
from app.routers import upload
from app.internal.incident_correlator import _run_decision, has_event_substance
NOW = datetime(2026, 9, 7, 21, 30, 0, tzinfo=timezone.utc)
# ─────────────────────────────────────────────────────────────────────────────
# Fix 1 — the LLM-orphan gate in _correlate_with_consensus
# ─────────────────────────────────────────────────────────────────────────────
def _preview(action, corr_debug=None, ctx=None):
base_ctx = {"call_id": "call-1"}
if ctx:
base_ctx.update(ctx)
return {
"decision": {
"action": action,
"matched_incident": None,
"incident_type": "other" if action == "new" else None,
"corr_debug": {} if corr_debug is None else dict(corr_debug),
},
"ctx": base_ctx,
}
def _llm(action, reasoning="—"):
md = {"incident_id": "inc-1"} if action == "link" else None
return {"action": action, "matched_incident": md, "reasoning": reasoning}
async def _run_consensus(preview, llm_decision):
tiebreak_result = {
"action": "new", "matched_incident": None, "incident_type": "other",
"corr_debug": {}, "reasoning": "tb",
}
with patch("app.internal.incident_correlator.preview_correlation",
new=AsyncMock(return_value=preview)), \
patch("app.internal.incident_correlator.apply_correlation",
new=AsyncMock(return_value="incident-x")) as m_apply, \
patch("app.internal.llm_correlator.decide",
new=AsyncMock(return_value=llm_decision)), \
patch("app.internal.llm_correlator.tiebreak",
new=AsyncMock(return_value=tiebreak_result)) as m_tiebreak:
await upload._correlate_with_consensus(
call_id="call-1", node_id="n1", system_id="sys-1",
talkgroup_id=9048, talkgroup_name="Dispatch", tags=[],
incident_type=None, location=None, location_coords=None,
)
return m_apply, m_tiebreak
async def test_substanceless_no_recent_same_tg_incident_gates_without_tiebreak():
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}), _llm("orphan", "unit check-in, not an incident"),
)
m_tiebreak.assert_not_called()
m_apply.assert_called_once()
gated = m_apply.call_args[0][0]["decision"]
assert gated["action"] == "orphan"
dbg = gated["corr_debug"]
assert dbg["corr_consensus"] == "llm_orphan_gate"
assert dbg["corr_consensus"] != "tiebreak"
assert dbg["corr_rules_action"] == "new"
assert dbg["corr_llm_action"] == "orphan"
assert dbg["corr_llm_reasoning"] == "unit check-in, not an incident"
@pytest.mark.parametrize("severity", ["moderate", "major"])
async def test_moderate_or_major_severity_is_not_gated(severity):
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx={"call_severity": severity}), _llm("orphan"),
)
m_tiebreak.assert_called_once()
async def test_routine_severity_alone_still_gates():
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx={"call_severity": "routine"}), _llm("orphan"),
)
m_tiebreak.assert_not_called()
assert m_apply.call_args[0][0]["decision"]["action"] == "orphan"
async def test_call_with_coords_is_not_gated():
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx={"coords": {"lat": 41.15, "lng": -73.86}}),
_llm("orphan"),
)
m_tiebreak.assert_called_once()
async def test_call_with_tags_is_not_gated():
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx={"tags": ["structure-fire"]}), _llm("orphan"),
)
m_tiebreak.assert_called_once()
async def test_call_with_vehicles_is_not_gated():
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx={"call_vehicles": ["red sedan"]}), _llm("orphan"),
)
m_tiebreak.assert_called_once()
async def test_call_with_resolved_incident_type_is_not_gated():
# The creation gate skips has_event_substance when a type resolved, so a
# typed call (fire/medical/…) opens an incident on substance the gate does
# not re-check — it must keep the tiebreak, not be dropped.
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx={"incident_type": "fire"}), _llm("orphan"),
)
m_tiebreak.assert_called_once()
async def test_reassignment_call_is_not_gated():
# reassignment=True is dispatch pulling a unit onto a NEW job (units are
# blanked for exactly that reason) — the strongest new-incident signal.
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx={"reassignment": True}), _llm("orphan"),
)
m_tiebreak.assert_called_once()
async def test_recent_incident_on_same_talkgroup_is_not_gated():
ctx = {
"system_id": "sys-1",
"talkgroup_id": 9048,
"talkgroup_name": "Dispatch",
"now": NOW,
"recent": [{
"incident_id": "inc-live",
"system_ids": ["sys-1"],
"talkgroup_ids": ["9048"],
"updated_at": (NOW - timedelta(minutes=1)).isoformat(),
}],
}
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx=ctx), _llm("orphan"),
)
m_tiebreak.assert_called_once()
# server-26#115 window #3 (CORRELATION_REVIEW_0912.md): the escape hatch used
# to treat ANY same-talkgroup incident inside the 2h correlation_window_hours
# as "recent", which on a busy dispatch channel (3-13 incidents/2h) was
# satisfied almost unconditionally — the gate fired 0/24 times against its own
# target shape. It now only counts an incident as recent within
# settings.tg_dispatch_thin_idle_minutes (5 min), applied uniformly regardless
# of the talkgroup's name (owner correction, 2026-09-13 — see
# test_channel_name_does_not_affect_the_window below for why the dichotomy
# this originally had with incident_correlator's fast/thin idle selection was
# removed here).
async def test_recent_same_tg_incident_inside_new_short_window_still_escapes_gate():
ctx = {
"system_id": "sys-1",
"talkgroup_id": 9048,
"talkgroup_name": "Dispatch",
"now": NOW,
"recent": [{
"incident_id": "inc-live",
"system_ids": ["sys-1"],
"talkgroup_ids": ["9048"],
# 3 min ago — inside tg_dispatch_thin_idle_minutes (5).
"updated_at": (NOW - timedelta(minutes=3)).isoformat(),
}],
}
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx=ctx), _llm("orphan"),
)
m_tiebreak.assert_called_once()
async def test_recent_same_tg_incident_older_than_short_window_now_gates():
# Regression test for the fix: 8 minutes is past the 5-minute bound but
# still inside the OLD 2-hour correlation_window_hours lookback. Before
# the fix this escaped the gate on any channel; after the fix it gates.
ctx = {
"system_id": "sys-1",
"talkgroup_id": 9048,
"talkgroup_name": "Dispatch",
"now": NOW,
"recent": [{
"incident_id": "inc-stale",
"system_ids": ["sys-1"],
"talkgroup_ids": ["9048"],
"updated_at": (NOW - timedelta(minutes=8)).isoformat(),
}],
}
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx=ctx), _llm("orphan"),
)
m_tiebreak.assert_not_called()
assert m_apply.call_args[0][0]["decision"]["action"] == "orphan"
async def test_channel_name_does_not_affect_the_window():
# Owner correction, 2026-09-13 (direct scanning experience): a talkgroup
# named "tac"/"tactical" only sees materially different traffic during a
# real incident, and that's rare -- the bulk of traffic on any monitored
# channel, including high-risk stops and pursuits, runs on the main
# channel regardless of what it's named. An earlier version of this used
# a longer 15-minute window on anything not literally named "dispatch"/
# "patched"/"primary" (mirroring incident_correlator's fast/thin idle
# selection); that meant a busy single-channel department not literally
# named "dispatch" silently got the more permissive window and could
# reproduce #115's original bug. Same 8-minute age as the dispatch-named
# test above, but on a channel named "Tac 3" -- must gate identically,
# not escape into a longer window just because of the name.
ctx = {
"system_id": "sys-1",
"talkgroup_id": 383,
"talkgroup_name": "Tac 3",
"now": NOW,
"recent": [{
"incident_id": "inc-tac",
"system_ids": ["sys-1"],
"talkgroup_ids": ["383"],
"updated_at": (NOW - timedelta(minutes=8)).isoformat(),
}],
}
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx=ctx), _llm("orphan"),
)
m_tiebreak.assert_not_called()
assert m_apply.call_args[0][0]["decision"]["action"] == "orphan"
async def test_gate_veto_reason_is_recorded_on_the_escalation_path():
# server-26#115: a live measurement window must be able to see *why* an
# llm=orphan/rules=new call escaped the gate without guessing from the raw
# dump (which produced a wrong "confirmed explanation" for 2 window-#3
# misses the first time). corr_gate_veto names the surviving condition.
ctx = {"call_severity": "major"}
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx=ctx), _llm("orphan"),
)
m_tiebreak.assert_called_once()
final = m_apply.call_args[0][0]["decision"]
assert final["corr_debug"]["corr_gate_veto"] == "severity"
async def test_gate_veto_reason_is_absent_when_the_disagreement_is_not_orphan_vs_new():
# corr_gate_veto is only meaningful for the llm=orphan/rules=new shape the
# gate targets — it must not appear (or be misleadingly None-vs-absent) on
# an unrelated disagreement shape.
m_apply, m_tiebreak = await _run_consensus(
_preview("link", {}), _llm("orphan"),
)
m_tiebreak.assert_called_once()
final = m_apply.call_args[0][0]["decision"]
assert "corr_gate_veto" not in final["corr_debug"]
async def test_recent_incident_on_a_different_talkgroup_still_gates():
ctx = {
"system_id": "sys-1",
"talkgroup_id": 9048,
"recent": [{
"incident_id": "inc-other",
"system_ids": ["sys-1"],
"talkgroup_ids": ["1200"],
}],
}
m_apply, m_tiebreak = await _run_consensus(
_preview("new", {}, ctx=ctx), _llm("orphan"),
)
m_tiebreak.assert_not_called()
assert m_apply.call_args[0][0]["decision"]["action"] == "orphan"
async def test_llm_link_vs_rules_new_still_escalates():
m_apply, m_tiebreak = await _run_consensus(_preview("new", {}), _llm("link", "same job"))
m_tiebreak.assert_called_once()
async def test_llm_orphan_vs_rules_link_still_escalates():
# Not the gate condition (gate needs rules=="new"); must fall through.
m_apply, m_tiebreak = await _run_consensus(_preview("link", {}), _llm("orphan"))
m_tiebreak.assert_called_once()
def test_has_event_substance_predicate():
assert has_event_substance({"coords": {"lat": 1, "lng": 2}})
assert has_event_substance({"tags": ["fire"]})
assert has_event_substance({"call_vehicles": ["sedan"]})
assert not has_event_substance({})
assert not has_event_substance({"coords": None, "tags": [], "call_vehicles": []})
# units and location are NOT substance — nearly every transmission has them.
assert not has_event_substance({"call_units": ["7-Adam"], "location": "Main St"})
# ─────────────────────────────────────────────────────────────────────────────
# Fix 2 — tighten corr_path=location
# ─────────────────────────────────────────────────────────────────────────────
CALL_COORDS = {"lat": 41.150000, "lng": -73.860000}
# ~0.39 km north of the call — inside location_proximity_km (0.5) but well
# outside the tight bar (_LOCATION_TIGHT_PROXIMITY_KM, 0.2).
FAR_INC_COORDS = {"lat": 41.153500, "lng": -73.860000}
# ~0.13 km north of the call — inside the tight bar.
NEAR_INC_COORDS = {"lat": 41.151200, "lng": -73.860000}
# ~0.28 km north — inside the 0.5 radius, outside the 0.2 tight bar; used as a
# second candidate that must lose the nearest-wins sort to NEAR_INC_COORDS.
MID_INC_COORDS = {"lat": 41.152500, "lng": -73.860000}
def _inc(incident_id, coords, units):
return {
"incident_id": incident_id,
"system_ids": ["sys-1"],
"talkgroup_ids": ["100"], # different TGID → fast path is a no-op
"location_coords": coords,
"units": units,
"tags": [],
"type": "police",
"updated_at": (NOW - timedelta(minutes=6)).isoformat(),
"started_at": (NOW - timedelta(minutes=20)).isoformat(),
"status": "active",
"call_ids": ["c0"],
}
def _loc_ctx(*, incidents, call_units):
return {
"call_id": "call-loc",
"all_active": list(incidents),
"recent": list(incidents),
"call_doc": {},
"call_embedding": None,
"call_units": call_units,
"call_vehicles": [],
"call_cleared": [],
"call_severity": "routine",
"coords": CALL_COORDS,
"is_thin_call": False,
"now": NOW,
"system_id": "sys-1",
"talkgroup_id": 999, # not in inc.talkgroup_ids
"talkgroup_name": "Tactical",
"tags": [],
"incident_type": "police",
"location": "Main St",
"location_coords": CALL_COORDS,
"reassignment": True, # suppress the unit-continuity path
"create_if_new": True,
}
def test_location_path_in_radius_but_no_unit_overlap_no_tight_proximity_does_not_link(caplog):
ctx = _loc_ctx(
incidents=[_inc("inc-loc", FAR_INC_COORDS, ["7-Adam"])],
call_units=["3-Boy"],
)
with caplog.at_level("INFO", logger="drb-c2-core"):
decision = _run_decision(ctx)
# Reaches, and is rejected by, the new guard (not an earlier path).
assert "location-path skipped" in caplog.text
assert decision["action"] != "link"
assert (decision.get("corr_debug") or {}).get("corr_path") != "location"
def test_location_path_links_on_unit_overlap_with_distinct_fit_signal():
ctx = _loc_ctx(
incidents=[_inc("inc-loc", FAR_INC_COORDS, ["5-Adam"])],
call_units=["5-Adam"],
)
decision = _run_decision(ctx)
assert decision["action"] == "link"
assert decision["corr_debug"]["corr_path"] == "location"
# NOT "unit_overlap" — that value belongs to the fast path's histogram bucket.
assert decision["corr_debug"]["corr_fit_signal"] == "location_unit_overlap"
def test_location_path_links_on_tight_proximity_without_unit_overlap():
ctx = _loc_ctx(
incidents=[_inc("inc-loc", NEAR_INC_COORDS, ["7-Adam"])],
call_units=["3-Boy"],
)
decision = _run_decision(ctx)
assert decision["action"] == "link"
assert decision["corr_debug"]["corr_path"] == "location"
assert decision["corr_debug"]["corr_fit_signal"] == "location_proximity"
def test_location_path_picks_nearest_in_radius_candidate():
# `recent` order puts the farther tight-proximity incident first; the guard
# must still select the nearest one.
ctx = _loc_ctx(
incidents=[
_inc("inc-mid", MID_INC_COORDS, ["3-Boy"]), # ~0.28 km, tight-fail
_inc("inc-near", NEAR_INC_COORDS, ["3-Boy"]), # ~0.13 km, tight-pass
],
call_units=["3-Boy"],
)
decision = _run_decision(ctx)
assert decision["action"] == "link"
assert decision["matched_incident"]["incident_id"] == "inc-near"
assert decision["corr_debug"]["corr_path"] == "location"
+67
View File
@@ -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"
+29 -41
View File
@@ -31,8 +31,10 @@ from app.internal.incident_correlator import (
NOW = datetime(2026, 8, 20, 7, 0, 0, tzinfo=timezone.utc)
# TG 383 from the dump: "Ch 1 (Patched with 155.310)". _DISPATCH_TG_RE matches
# "patched", so this is a shared dispatch backbone carrying the whole department.
# TG 383 from the dump: "Ch 1 (Patched with 155.310)", a shared dispatch
# backbone carrying the whole department. Kept as two distinct fixture names
# for readability even though the channel's name no longer affects behavior
# (server-26#134).
DISPATCH_TG = "Ch 1 (Patched with 155.310)"
TACTICAL_TG = "Fireground 2"
@@ -140,12 +142,9 @@ def test_thin_call_with_no_overlap_does_not_attach_on_a_dispatch_channel():
assert _run_decision(_ctx(all_active=[inc], recent=[inc]))["action"] == "orphan"
def test_thin_call_with_no_overlap_does_not_attach_on_a_tactical_channel():
"""
The widest version of the bug: non-dispatch talkgroups skipped the tiering
entirely and used the whole 90-minute fast-path window with no
single-candidate requirement, so ANY thin call joined whatever was newest.
"""
def test_thin_call_with_no_overlap_does_not_attach_on_a_tactical_named_channel():
"""A channel's name no longer changes anything (server-26#134) — same
assertion as the dispatch-named case above, different fixture name."""
inc = _incident(idle_minutes=40)
decision = _run_decision(_ctx(
all_active=[inc], recent=[inc], talkgroup_name=TACTICAL_TG,
@@ -153,9 +152,18 @@ def test_thin_call_with_no_overlap_does_not_attach_on_a_tactical_channel():
assert decision["action"] == "orphan"
def test_tactical_thin_call_still_attaches_inside_its_own_window():
"""Bounded, not removed — a "10-4" on a working channel is still context."""
inc = _incident(idle_minutes=settings.tg_thin_idle_minutes - 1)
def test_tactical_named_channel_uses_the_dispatch_window_now():
"""server-26#134: 14 min was inside the old 15-min tactical window; now
every channel uses the 5-min window regardless of name."""
inc = _incident(idle_minutes=14)
decision = _run_decision(_ctx(
all_active=[inc], recent=[inc], talkgroup_name=TACTICAL_TG,
))
assert decision["action"] == "orphan"
def test_tactical_named_channel_still_attaches_inside_the_dispatch_window():
inc = _incident(idle_minutes=settings.tg_dispatch_thin_idle_minutes - 1)
decision = _run_decision(_ctx(
all_active=[inc], recent=[inc], talkgroup_name=TACTICAL_TG,
))
@@ -224,47 +232,27 @@ def test_back_dated_thin_call_does_not_sail_through_the_recency_gate():
def test_back_dated_call_does_not_bypass_the_content_divergence_veto(monkeypatch):
"""
Same `9d376ffe` failure mode, but exercised directly against
`_call_fits_incident` on a dispatch channel: unit overlap plus a
back-dated call (incident updated 45 minutes AFTER the call's own
`started_at`, which the sweep passes as `now`) used to make the signed
idle -45, so `idle_min >= 15` read False and the content-divergence
veto never ran — unit overlap alone forced the merge regardless of
what the call was actually about. With the gate fixed to compare
distance, idle_min is 45 (>= 15), the veto runs, and a divergent
embedding (patched below so the assertion doesn't depend on numpy
being installed in this environment) fails it.
Same `9d376ffe` failure mode, exercised directly against
`_call_fits_incident`: unit overlap plus a back-dated call (incident
updated 45 minutes AFTER the call's own `started_at`, which the sweep
passes as `now`) used to make the signed idle -45, so `idle_min >= 15`
read False and the content-divergence veto never ran — unit overlap
alone forced the merge regardless of what the call was actually about.
With the gate fixed to compare distance, idle_min is 45 (>= 15), the
veto runs, and a divergent embedding (patched below so the assertion
doesn't depend on numpy being installed in this environment) fails it.
"""
monkeypatch.setattr(correlator_mod, "_cosine_similarity", lambda a, b: 0.0)
inc = _incident(idle_minutes=-45, units=["6-Adam"])
inc["embedding"] = [1.0, 0.0]
fits, signal = _call_fits_incident(
inc, call_units=["6-Adam"], call_vehicles=[], call_coords=None,
proximity_km=settings.location_proximity_km, is_dispatch=True,
proximity_km=settings.location_proximity_km,
call_embedding=[0.0, 1.0], now=NOW,
)
assert (fits, signal) == (False, "content_divergence")
def test_back_dated_call_on_tactical_channel_does_not_get_the_default():
"""
Tactical-channel counterpart: no unit/vehicle/location signal, so the
function falls through to step 4's `idle_min < 20.0` default. A
back-dated call (incident updated 45 minutes after the call's own
started_at) used to read idle_min as -45, which is always < 20.0, so
`tactical_default` fired unconditionally no matter how stale the
incident actually was relative to this call. Fixed, idle_min is the
45-minute distance, which is not < 20.0.
"""
inc = _incident(idle_minutes=-45)
fits, signal = _call_fits_incident(
inc, call_units=[], call_vehicles=[], call_coords=None,
proximity_km=settings.location_proximity_km, is_dispatch=False,
call_embedding=None, now=NOW,
)
assert (fits, signal) == (False, "tactical_idle")
# ---------------------------------------------------------------------------
# 4. Hard caps — path-independent, because pairwise fit tests can't see shape
# ---------------------------------------------------------------------------
+66
View File
@@ -0,0 +1,66 @@
"""
End-to-end CORS wiring for the one browser-facing REST surface.
The frontend's Archive page calls GET /calls/search with Authorization +
Content-Type headers, which forces the browser to send a CORS preflight
first. Before #110 that OPTIONS got a bare 405 with no Access-Control-*
headers and the fetch failed with "TypeError: Failed to fetch". These
tests drive the real app through TestClient so a regression in the
middleware wiring (not just the helper) is caught.
TestClient is NOT used as a context manager on purpose: that would run the
lifespan (mqtt_handler.connect(), the sweeper loops, dynsec bootstrap),
none of which is needed here -- CORSMiddleware answers a preflight before
routing or dependencies run.
"""
from fastapi.testclient import TestClient
from app.config import settings
from app.main import app
client = TestClient(app)
ALLOWED_ORIGIN = "https://drb.cusano.net"
DISALLOWED_ORIGIN = "https://evil.example.com"
def test_default_allowed_origin_matches_the_deployed_frontend():
# The frontend is served on the bare domain (infra Caddyfile.j2), so the
# default must allow exactly that origin without any env override.
assert ALLOWED_ORIGIN in settings.cors_origins
def test_preflight_for_calls_search_is_allowed():
resp = client.options(
"/calls/search",
headers={
"Origin": ALLOWED_ORIGIN,
"Access-Control-Request-Method": "GET",
"Access-Control-Request-Headers": "authorization,content-type",
},
)
assert resp.status_code == 200
assert resp.headers.get("access-control-allow-origin") == ALLOWED_ORIGIN
allow_methods = resp.headers.get("access-control-allow-methods", "").upper()
assert "GET" in allow_methods
# Bearer auth, not cookies -- credentials must never be advertised.
assert "access-control-allow-credentials" not in resp.headers
def test_preflight_from_disallowed_origin_gets_no_allow_origin():
resp = client.options(
"/calls/search",
headers={
"Origin": DISALLOWED_ORIGIN,
"Access-Control-Request-Method": "GET",
},
)
assert resp.headers.get("access-control-allow-origin") is None
def test_simple_get_from_allowed_origin_is_annotated():
# Even a non-preflight GET must carry Access-Control-Allow-Origin or the
# browser hides the response body from the page.
resp = client.get("/health", headers={"Origin": ALLOWED_ORIGIN})
assert resp.status_code == 200
assert resp.headers.get("access-control-allow-origin") == ALLOWED_ORIGIN
+9 -7
View File
@@ -5,8 +5,9 @@ Starlette does not reject `allow_origins=["*"]` combined with
`allow_credentials=True`. It reflects the caller's Origin back in
Access-Control-Allow-Origin and still sends
Access-Control-Allow-Credentials: true, so the effective policy is the
opposite of what a wildcard usually means. main.py defuses that by turning
credentials off whenever it sees a wildcard; these tests hold it to that.
opposite of what a wildcard usually means. main.py never enables
credentials at all (auth is a Bearer header, not a cookie), which makes
that pair unrepresentable; these tests hold it to that.
The policy lives in a pure function so it can be exercised directly --
reloading app.main to vary settings drags every router back through import
@@ -28,11 +29,11 @@ def test_wildcard_among_real_origins_still_disables_credentials():
assert cors_allows_credentials(["https://app.example.com", "*"]) is False
def test_named_origins_keep_credentials():
# Naming your origins is how you ask for credentialed requests, so a
# correctly configured deployment must not be penalised.
assert cors_allows_credentials(["https://app.example.com"]) is True
assert cors_allows_credentials([]) is True
def test_credentials_never_enabled_even_for_named_origins():
# Auth here is a Bearer header, not a cookie, so credentialed CORS is
# never needed. The predicate is hard-off regardless of the origin list.
assert cors_allows_credentials(["https://app.example.com"]) is False
assert cors_allows_credentials([]) is False
def test_the_app_actually_mounted_that_policy():
@@ -42,6 +43,7 @@ def test_the_app_actually_mounted_that_policy():
(mw.kwargs for mw in app.user_middleware if mw.cls is CORSMiddleware), None
)
assert opts is not None, "CORSMiddleware is not mounted at all"
assert opts["allow_credentials"] is False
assert opts["allow_credentials"] is cors_allows_credentials(settings.cors_origins)
@@ -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 +1,197 @@
"""
server-26#96 — every scene of a multi-scene call writes corr_debug onto the
SAME call doc via incident_correlator._apply_and_log, last-scene-wins. The
fix additionally nests each scene's corr_debug/transcript/incident_id under
scenes.<scene_index> on the call doc, keyed so Firestore's
`set(merge=True)` (a recursive merge of nested map fields — this is the
behaviour these tests assume and pin) lands each scene in its own map entry
instead of colliding.
Firestore itself isn't available in this sandbox (see tests/conftest.py), so
`_fake_doc_set` below implements that documented recursive-merge semantics by
hand and is used as the fstore stand-in — these tests both exercise
_apply_and_log's write shape AND pin the merge behaviour it depends on.
"""
import pytest
from unittest.mock import patch
from app.internal import incident_correlator
def _merge(dst: dict, src: dict) -> None:
"""Firestore DocumentReference.set(data, merge=True) semantics: nested
map fields are merged recursively by key, not replaced wholesale."""
for k, v in src.items():
if isinstance(v, dict) and isinstance(dst.get(k), dict):
_merge(dst[k], v)
else:
dst[k] = v
@pytest.mark.asyncio
async def test_multiscene_call_lands_each_scene_distinctly_and_flat_fields_last_write_wins():
docs: dict[tuple, dict] = {}
async def fake_doc_set(collection, doc_id, data, merge=True):
docs.setdefault((collection, doc_id), {})
_merge(docs[(collection, doc_id)], data)
decision0 = {
"action": "orphan", "matched_incident": None, "incident_type": None,
"corr_debug": {"corr_path": "new", "corr_consensus": "agreed"},
}
ctx0 = {"call_id": "call-1", "scene_index": 0, "scene_transcript": "scene zero text"}
decision1 = {
"action": "orphan", "matched_incident": None, "incident_type": None,
"corr_debug": {"corr_path": "slow", "corr_consensus": "tiebreak"},
}
ctx1 = {"call_id": "call-1", "scene_index": 1, "scene_transcript": "scene one text"}
with patch.object(incident_correlator, "fstore") as mock_fstore:
mock_fstore.doc_set = fake_doc_set
await incident_correlator._apply_and_log(decision0, ctx0)
await incident_correlator._apply_and_log(decision1, ctx1)
doc = docs[("calls", "call-1")]
# Flat top-level fields: unchanged behaviour, last scene's write wins —
# the safe backward-compatible default for any reader that doesn't yet
# know about `scenes`.
assert doc["corr_path"] == "slow"
assert doc["corr_consensus"] == "tiebreak"
# New `scenes` map: both scenes present, distinct, uncorrupted by the
# second write.
assert set(doc["scenes"].keys()) == {"0", "1"}
assert doc["scenes"]["0"]["corr_debug"]["corr_path"] == "new"
assert doc["scenes"]["0"]["corr_debug"]["corr_consensus"] == "agreed"
assert doc["scenes"]["0"]["transcript"] == "scene zero text"
assert doc["scenes"]["1"]["corr_debug"]["corr_path"] == "slow"
assert doc["scenes"]["1"]["corr_debug"]["corr_consensus"] == "tiebreak"
assert doc["scenes"]["1"]["transcript"] == "scene one text"
@pytest.mark.asyncio
async def test_scene_entry_records_which_incident_it_resolved_to():
"""summarizer.py (#114) needs this to pick the right scene per incident."""
docs: dict[tuple, dict] = {}
async def fake_doc_set(collection, doc_id, data, merge=True):
docs.setdefault((collection, doc_id), {})
_merge(docs[(collection, doc_id)], data)
with patch.object(incident_correlator, "fstore") as mock_fstore, \
patch.object(incident_correlator, "_apply_decision", return_value="inc-42"):
mock_fstore.doc_set = fake_doc_set
decision = {
"action": "new", "matched_incident": None, "incident_type": "fire",
"corr_debug": {"corr_path": "new"},
}
ctx = {"call_id": "call-2", "scene_index": 0, "scene_transcript": "structure fire"}
incident_id = await incident_correlator._apply_and_log(decision, ctx)
assert incident_id == "inc-42"
assert docs[("calls", "call-2")]["scenes"]["0"]["incident_id"] == "inc-42"
@pytest.mark.asyncio
async def test_single_scene_call_still_gets_a_scenes_map_equivalent_to_flat_fields():
"""scene_index defaults to 0 for every caller with no scene concept, so a
plain single-scene call is one entry in `scenes` — equivalent to reading
the flat fields, not a behaviour change for that population."""
docs: dict[tuple, dict] = {}
async def fake_doc_set(collection, doc_id, data, merge=True):
docs.setdefault((collection, doc_id), {})
_merge(docs[(collection, doc_id)], data)
decision = {
"action": "orphan", "matched_incident": None, "incident_type": None,
"corr_debug": {"corr_path": "fast/thin", "corr_consensus": "rules_only"},
}
ctx = {"call_id": "call-3", "scene_transcript": "10-4"} # no scene_index key at all
with patch.object(incident_correlator, "fstore") as mock_fstore:
mock_fstore.doc_set = fake_doc_set
await incident_correlator._apply_and_log(decision, ctx)
doc = docs[("calls", "call-3")]
assert doc["corr_path"] == "fast/thin"
assert doc["scenes"] == {
"0": {
"transcript": "10-4",
"incident_id": None,
"corr_debug": {"corr_path": "fast/thin", "corr_consensus": "rules_only"},
"incident_type": None,
"severity": None,
}
}
@pytest.mark.asyncio
async def test_scene_entry_captures_its_own_incident_type_not_a_sibling_scenes():
"""
server-26#139: _call_is_substanceless's "type" veto reads ctx["incident_type"]
at decision time, but that value was never persisted per-scene — only the
last-scene-wins flat field, which #138's dump analysis couldn't
distinguish from cross-scene contamination. Pins _apply_and_log's write
side: each scene's own scenes.<n> entry carries its own incident_type/
severity, distinct from any other scene on the same call. Does NOT cover
whether the ctx handed to _call_is_substanceless is the same object that
reaches here — that linkage is pinned by test_consensus_gate.py and
test_incident_identity.py, not this file.
"""
docs: dict[tuple, dict] = {}
async def fake_doc_set(collection, doc_id, data, merge=True):
docs.setdefault((collection, doc_id), {})
_merge(docs[(collection, doc_id)], data)
decision0 = {
"action": "orphan", "matched_incident": None, "incident_type": None,
"corr_debug": {"corr_path": "new", "corr_consensus": "tiebreak", "corr_gate_veto": "type"},
}
ctx0 = {
"call_id": "call-5", "scene_index": 0, "scene_transcript": "10-4, clear",
"incident_type": "traffic-stop", "call_severity": "routine",
}
decision1 = {
"action": "orphan", "matched_incident": None, "incident_type": None,
"corr_debug": {"corr_path": "new", "corr_consensus": "agreed"},
}
ctx1 = {
"call_id": "call-5", "scene_index": 1, "scene_transcript": "roll call",
"incident_type": None, "call_severity": "moderate",
}
with patch.object(incident_correlator, "fstore") as mock_fstore:
mock_fstore.doc_set = fake_doc_set
await incident_correlator._apply_and_log(decision0, ctx0)
await incident_correlator._apply_and_log(decision1, ctx1)
doc = docs[("calls", "call-5")]
scenes = doc["scenes"]
assert scenes["0"]["incident_type"] == "traffic-stop"
assert scenes["0"]["severity"] == "routine"
assert scenes["1"]["incident_type"] is None
assert scenes["1"]["severity"] == "moderate"
# _apply_and_log only ever flat-merges corr_debug's own keys (:1460) — a
# future corr_debug["incident_type"] would silently clobber
# intelligence.py's flat field, so this is asserted, not just commented.
assert "incident_type" not in doc
@pytest.mark.asyncio
async def test_empty_corr_debug_writes_nothing_same_as_before():
"""Preserve the pre-#96 short-circuit: no corr_debug means no write at
all, flat or nested."""
with patch.object(incident_correlator, "fstore") as mock_fstore, \
patch.object(incident_correlator, "_apply_decision", return_value=None):
mock_fstore.doc_set = None # would raise TypeError if ever called
decision = {"action": "orphan", "matched_incident": None, "incident_type": None, "corr_debug": {}}
ctx = {"call_id": "call-4", "scene_index": 0, "scene_transcript": "x"}
result = await incident_correlator._apply_and_log(decision, ctx)
assert result is None
@@ -0,0 +1,89 @@
"""
server-26#96/#114 review (PR #132): `PATCH /calls/{id}/transcript` clears
stale intelligence fields before re-extraction runs, but `doc_set(...,
merge=True)` can only add/overwrite keys in a nested map, never remove one.
A call corrected from 3 scenes down to 1 would keep `scenes.1`/`scenes.2`
with pre-correction transcripts and incident_ids forever -- corrupting the
per-scene tally #96 exists to make trustworthy, and re-feeding stale text
into #114's summarizer fix if a stale scene's incident_id still names a real
incident. The fix deletes the field with `fstore.DELETE_FIELD` instead of
merging over it with an empty map (which is a no-op).
"""
from unittest.mock import AsyncMock, patch
import pytest
from fastapi import BackgroundTasks
from app.internal import firestore as fstore
from app.routers.calls import TranscriptUpdate, patch_transcript
@pytest.mark.asyncio
async def test_transcript_correction_deletes_the_scenes_field_not_merges_over_it():
call = {
"call_id": "call-1",
"system_id": "sys-1",
"node_id": "node-1",
"transcript": "old raw text",
# Simulates a prior 3-scene call, per #96's schema.
"scenes": {
"0": {"transcript": "scene zero", "incident_id": "inc-a", "corr_debug": {}},
"1": {"transcript": "scene one", "incident_id": "inc-b", "corr_debug": {}},
},
}
doc_set_calls: list[tuple] = []
doc_update_calls: list[tuple] = []
async def fake_doc_get(collection, doc_id):
if collection == "calls" and doc_id == "call-1":
return call
return None
async def fake_doc_set(collection, doc_id, data, merge=True):
doc_set_calls.append((collection, doc_id, data))
async def fake_doc_update(collection, doc_id, data):
doc_update_calls.append((collection, doc_id, data))
fake_flags = (None, lambda name: name == "correlation_enabled")
with patch("app.routers.calls.fstore.doc_get", new=fake_doc_get), \
patch("app.routers.calls.fstore.doc_set", new=fake_doc_set), \
patch("app.routers.calls.fstore.doc_update", new=fake_doc_update), \
patch("app.internal.feature_flags.resolve_flags", new=AsyncMock(return_value=fake_flags)):
result = await patch_transcript(
call_id="call-1",
body=TranscriptUpdate(transcript="corrected text"),
background_tasks=BackgroundTasks(),
_={},
)
assert result == {"ok": True, "call_id": "call-1"}
# The stale scenes map must be DELETED, not merged over with {} (a no-op
# under Firestore's set(merge=True) semantics) and not left untouched by
# a doc_set call that never mentions it.
scenes_deletions = [
(coll, doc_id, data) for (coll, doc_id, data) in doc_update_calls
if coll == "calls" and doc_id == "call-1" and "scenes" in data
]
assert len(scenes_deletions) == 1, (
f"expected exactly one doc_update clearing 'scenes', got {doc_update_calls}"
)
assert scenes_deletions[0][2]["scenes"] is fstore.DELETE_FIELD
# And no doc_set call should paper over the same field with an empty map
# instead -- that would silently do nothing and leave stale scenes intact.
for (coll, doc_id, data) in doc_set_calls:
if coll == "calls" and doc_id == "call-1":
assert "scenes" not in data, (
"a doc_set (merge=True) write must never carry 'scenes' -- "
"merging {} over an existing map is a no-op, not a delete"
)
def test_delete_field_is_the_real_firestore_sentinel():
"""Catches an import-path typo turning this into a silent no-op sentinel."""
from firebase_admin import firestore as fs
assert fstore.DELETE_FIELD is fs.DELETE_FIELD
@@ -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"
@@ -0,0 +1,124 @@
"""
server-26#114 — the incident summarizer used to read doc["transcript"] (the
WHOLE call, raw) for every linked call, so a multi-scene call contributed
text from scenes it wasn't part of into an incident's summary, and
transcript_corrected was never consulted at all.
Fix: _scene_text_for_incident reads the server-26#96 `scenes` map to find the
scene(s) that actually resolved into a given incident_id, and falls back to
transcript_corrected-or-transcript for a call doc with no `scenes` field
(predates #96).
"""
import pytest
from unittest.mock import AsyncMock, patch
from app.internal import summarizer
from app.internal.summarizer import _scene_text_for_incident
# ---------------------------------------------------------------------------
# _scene_text_for_incident — pure function, no Firestore
# ---------------------------------------------------------------------------
def test_picks_the_scene_that_linked_to_this_incident():
doc = {
"transcript": "whole raw transcript blend",
"transcript_corrected": "whole corrected transcript blend",
"scenes": {
"0": {"transcript": "scene zero text", "incident_id": "inc-A", "corr_debug": {}},
"1": {"transcript": "scene one text", "incident_id": "inc-B", "corr_debug": {}},
},
}
assert _scene_text_for_incident(doc, "inc-A") == "scene zero text"
assert _scene_text_for_incident(doc, "inc-B") == "scene one text"
def test_joins_multiple_scenes_linked_to_the_same_incident_in_scene_order():
doc = {
"scenes": {
"1": {"transcript": "second", "incident_id": "inc-A"},
"0": {"transcript": "first", "incident_id": "inc-A"},
},
}
assert _scene_text_for_incident(doc, "inc-A") == "first\nsecond"
def test_old_schema_doc_falls_back_to_transcript_corrected_over_transcript():
doc = {"transcript": "raw", "transcript_corrected": "corrected"}
assert _scene_text_for_incident(doc, "inc-A") == "corrected"
def test_old_schema_doc_with_only_raw_transcript_still_returns_it():
doc = {"transcript": "raw only"}
assert _scene_text_for_incident(doc, "inc-A") == "raw only"
def test_scenes_present_but_none_match_falls_back_defensively():
"""Should not happen for a call_id genuinely in this incident's call_ids,
but silently dropping the call's contribution would be worse than a
whole-call fallback."""
doc = {
"transcript": "raw",
"transcript_corrected": "corrected",
"scenes": {"0": {"transcript": "x", "incident_id": "inc-OTHER"}},
}
assert _scene_text_for_incident(doc, "inc-A") == "corrected"
# ---------------------------------------------------------------------------
# _summarize_incident — end to end with fstore/Gemini mocked
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_summarize_incident_uses_scene_specific_text_for_a_multiscene_call():
"""
call-1 is a 2-scene call: scene 0 linked into inc-OTHER, scene 1 linked
into inc-1 (the incident being summarized). Only scene 1's text may reach
the model.
"""
call_1 = {
"call_id": "call-1",
"transcript": "scene zero text scene one text", # the old, wrong, whole-call blend
"scenes": {
"0": {"transcript": "scene zero text", "incident_id": "inc-OTHER"},
"1": {"transcript": "scene one text", "incident_id": "inc-1"},
},
}
async def fake_doc_get(collection, doc_id):
assert collection == "calls"
return call_1 if doc_id == "call-1" else None
with patch("app.internal.feature_flags.get_flags",
AsyncMock(return_value={"summaries_enabled": True})), \
patch.object(summarizer, "fstore") as fs, \
patch.object(summarizer, "_sync_summarize", return_value="a summary") as sync:
fs.doc_get = AsyncMock(side_effect=fake_doc_get)
fs.doc_set = AsyncMock()
await summarizer._summarize_incident({"incident_id": "inc-1", "call_ids": ["call-1"]})
sync.assert_called_once()
_inc_arg, transcripts_arg = sync.call_args.args
assert transcripts_arg == ["scene one text"]
assert "scene zero text scene one text" not in transcripts_arg
@pytest.mark.asyncio
async def test_summarize_incident_falls_back_for_old_schema_call_doc():
"""A call doc with no `scenes` field at all — summarizer must still work,
using transcript_corrected over raw transcript."""
call_1 = {"call_id": "call-1", "transcript": "raw", "transcript_corrected": "corrected"}
async def fake_doc_get(collection, doc_id):
return call_1 if doc_id == "call-1" else None
with patch("app.internal.feature_flags.get_flags",
AsyncMock(return_value={"summaries_enabled": True})), \
patch.object(summarizer, "fstore") as fs, \
patch.object(summarizer, "_sync_summarize", return_value="a summary") as sync:
fs.doc_get = AsyncMock(side_effect=fake_doc_get)
fs.doc_set = AsyncMock()
await summarizer._summarize_incident({"incident_id": "inc-1", "call_ids": ["call-1"]})
_inc_arg, transcripts_arg = sync.call_args.args
assert transcripts_arg == ["corrected"]
+3 -3
View File
@@ -1,6 +1,6 @@
"use client";
import { useState } from "react";
import { useEffect, useState } from "react";
import { useAuth } from "@/components/AuthProvider";
import { useAlerts } from "@/lib/useAlerts";
import { MachineOutputNotice } from "@/components/ui/MachineOutputNotice";
@@ -32,8 +32,8 @@ function RulesTab({ isAdmin }: { isAdmin: boolean }) {
}
}
// Load on first render of this tab
if (!loaded) { load(); }
// Load once when this tab mounts (load() self-guards on `loaded`).
useEffect(() => { load(); }, []);
async function handleCreate(e: React.FormEvent) {
e.preventDefault();
+3 -2
View File
@@ -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>
+5 -2
View File
@@ -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>
@@ -120,7 +120,10 @@ export default function NodeDetailPage() {
const [approving, setApproving] = useState(false);
const [deleting, setDeleting] = useState(false);
const { systems } = useSystems();
const { calls } = useCalls(20);
// TODO(server-26#109 item5): server-side node_id filter. A where("node_id","==",id)
// alongside the existing org_id equality + started_at orderBy needs a brand-new
// composite index, so for now pull a wider window and filter client-side.
const { calls } = useCalls(200);
const { isAdmin } = useAuth();
const systemMap = Object.fromEntries(systems.map((s) => [s.system_id, s]));
+1 -1
View File
@@ -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>
+5 -3
View File
@@ -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>
+2 -4
View File
@@ -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>
)}
+16 -29
View File
@@ -25,15 +25,15 @@ L.Icon.Default.mergeOptions({
});
// ── Basemap tiles ─────────────────────────────────────────────────────────────
// Default is CARTO's keyless dark raster basemap — no token, fits the dark UI.
// Overridable via NEXT_PUBLIC_MAP_TILE_URL so a keyed style (a CARTO account
// style, MapTiler, Mapbox, …) can be dropped in for prod without a code change.
// Whatever is supplied must use Leaflet's {s}/{z}/{x}/{y}{r} placeholder scheme.
// Prod sets NEXT_PUBLIC_MAP_TILE_URL to a keyed style (a CARTO account style,
// MapTiler, Mapbox, …). The in-code fallback is plain OpenStreetMap so the map
// still renders if that var is missing — CARTO's keyless CDN has proven flaky.
// Whatever is supplied must use Leaflet's {s}/{z}/{x}/{y}{r} placeholder scheme;
// the {z}/{x}/{y} tokens below are substituted by Leaflet at runtime.
const MAP_TILE_URL =
process.env.NEXT_PUBLIC_MAP_TILE_URL ||
"https://{s}.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}{r}.png";
const MAP_TILE_ATTRIBUTION =
'&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors &copy; <a href="https://carto.com/">CARTO</a>';
"https://tile.openstreetmap.org/{z}/{x}/{y}.png";
const MAP_TILE_ATTRIBUTION = "&copy; OpenStreetMap contributors";
// ── Colour ────────────────────────────────────────────────────────────────────
// Severity is the only hue on this map — see UI_REDESIGN.md §2.3. Incident
@@ -459,9 +459,6 @@ export default function MapView({ nodes, activeCalls, incidents = [], calls = []
const [drawerOpen, setDrawerOpen] = useState(false);
const [agoClock, setAgoClock] = useState(0);
const [radarEpoch, setRadarEpoch] = useState(() => Date.now());
const [clockStr, setClockStr] = useState(() =>
new Date().toLocaleTimeString([], { hour12: false, hour: "2-digit", minute: "2-digit", second: "2-digit" })
);
useEffect(() => {
const id = setInterval(() => setAgoClock((t: number) => t + 1), 10_000);
@@ -474,15 +471,6 @@ export default function MapView({ nodes, activeCalls, incidents = [], calls = []
return () => clearInterval(id);
}, []);
// Live clock for TOC situational awareness
useEffect(() => {
const id = setInterval(() =>
setClockStr(new Date().toLocaleTimeString([], { hour12: false, hour: "2-digit", minute: "2-digit", second: "2-digit" })),
1000
);
return () => clearInterval(id);
}, []);
// eslint-disable-next-line react-hooks/exhaustive-deps
const ago = useMemo(() => (lastUpdated ? timeAgo(lastUpdated) : null), [lastUpdated, agoClock]);
@@ -623,13 +611,8 @@ export default function MapView({ nodes, activeCalls, incidents = [], calls = []
)}
</div>
{/* ── Clock — bottom-left for TOC situational awareness ───────────────── */}
<div className="absolute bottom-8 left-3 z-[1001] bg-surface/90 border border-line rounded-lg px-3 py-2 pointer-events-none">
<span className="text-ink text-sm font-mono tabular-nums">{clockStr}</span>
</div>
{/* ── Legend — shape-first, both themes. Never a bare colour swatch. ──── */}
<div className="absolute bottom-8 right-3 z-[1001] bg-surface/90 border border-line rounded-lg px-3 py-2.5 text-xs pointer-events-none space-y-2">
<div className="absolute bottom-8 right-3 z-[1001] bg-surface/90 border border-line rounded-lg px-3 py-2.5 text-xs pointer-events-none space-y-2 max-h-[calc(100%-4rem)] overflow-y-auto">
<div className="space-y-1">
<p className="text-ink-muted font-medium text-[10px] uppercase tracking-wide">Severity</p>
{(["major", "moderate", "minor", "routine"] as Severity[]).map((sev) => (
@@ -673,15 +656,19 @@ export default function MapView({ nodes, activeCalls, incidents = [], calls = []
{/* ── Incident overlay panel ───────────────────────────────────────────── */}
{incidents.length > 0 && (
<>
{/* Desktop: left sidebar — starts below zoom controls + fit-all button */}
<div className="absolute top-[8rem] left-3 bottom-[4.5rem] z-[1001] hidden md:flex flex-col w-56 gap-1.5">
{/* Desktop: left sidebar — offset below the zoom stack + fit-all button
so it never overlaps the Leaflet +/- controls (#118). Height is
capped and the list scrolls on its own, so the rail never reaches
the bottom-right legend. pointer-events are off on the wrapper and
back on for the cards, so the map still pans in the gaps. */}
<div className="absolute top-[9.5rem] left-3 z-[1001] hidden md:flex flex-col w-56 gap-1.5 max-h-[calc(100%-12rem)] pointer-events-none">
{/* Gate A / A2 (server-26#46) — the rail's titles, locations and
unit counts are pipeline output. Pinned above the scroll area
so it cannot be scrolled off the screen it qualifies. */}
<div className="bg-surface/90 backdrop-blur-sm border border-line rounded-lg px-2 py-1.5 shrink-0">
<div className="bg-surface/90 backdrop-blur-sm border border-line rounded-lg px-2 py-1.5 shrink-0 pointer-events-auto">
<MachineOutputNotice variant="inline" className="text-[10px] leading-snug items-start" />
</div>
<div className="flex flex-col gap-1.5 overflow-y-auto">
<div className="flex flex-col gap-1.5 overflow-y-auto min-h-0 pointer-events-auto">
{incidents.map((inc) => {
const color = severityColor(inc.severity);
const age = inc.started_at ? timeAgo(new Date(inc.started_at)) : null;
+10 -4
View File
@@ -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;
}
+2 -2
View File
@@ -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.
+3 -2
View File
@@ -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. */
+14 -14
View File
@@ -1,15 +1,15 @@
{
"//": "Composite indexes for the c2-server database. Firestore auto-indexes single-field lookups and equality-only compound queries; an equality filter combined with an inequality, an orderBy on a different field, or array-contains needs an explicit composite index or the query fails at runtime with FAILED_PRECONDITION. Deploy with: firebase deploy --only firestore:indexes --project <project-id> (firebase.json pins database c2-server — without that key the CLI targets (default) and changes nothing the app can see).",
"//direction": "Every index here is declared ASCENDING. Firestore scans an index in either direction, so org_id+started_at ASC serves orderBy(started_at, 'desc') as well — which is what every frontend hook actually asks for. Declaring only the ASC form keeps one index per query shape instead of a matched pair.",
"//drift-2026-08-23": "Reconciled against `gcloud firestore indexes composite list --database=c2-server` (server-26#33). The file had drifted four indexes behind the live database, and a deploy against the stale file then added ASC copies of indexes that already existed as DESC. The next deploy will offer to delete three live indexes that are deliberately not declared here — answer YES to all three: calls(org_id ASC, started_at DESC) and incidents(org_id ASC, started_at DESC) are duplicates of the ASC entries below, and alert_events(acknowledged ASC, triggered_at DESC) predates tenancy and is superseded by the org-scoped entry below. Nothing else may be deleted.",
"//direction": "The sort field's ORDER here must match the query's orderBy direction. The old note claimed 'Firestore scans either direction so ASC serves orderBy(desc)' — that is WRONG for these query shapes and cost us three broken pages (server-26 #33/#51/#110-followup, 2026-09-08): useCalls/useIncidents/useAlerts and c2-core search_calls all orderBy(x,'desc') and each got FAILED_PRECONDITION until an explicit DESCENDING index existed. A range/inequality filter with no orderBy (the backend status/ended_at, system_id/started_at, system_id/ended_at entries) is genuinely direction-agnostic and stays ASCENDING.",
"//drift-2026-09-08": "Reconciled against the live c2-server via `gcloud firestore indexes composite list` (server-26#33). Live already carries the three DESC indexes below (calls(org_id,started_at DESC), incidents(org_id,started_at DESC), alert_events(org_id,triggered_at DESC)) plus alert_events(acknowledged,org_id,triggered_at DESC) — created directly with gcloud on 2026-09-08 to unbreak Archive + Watch. This file now declares them so a `firebase deploy --only firestore:indexes` is a no-op, NOT a set of deletions. Do NOT delete calls(org_id,started_at DESC) or incidents(org_id,started_at DESC) — the pre-2026-09-08 note calling them deletable 'duplicates of the ASC entries' was the bug. The only genuinely dead index is the pre-tenancy alert_events(acknowledged,triggered_at) with no org_id, which may be deleted.",
"indexes": [
{
"//": "drb-frontend lib/useCalls.ts — org-scoped call list, orderBy started_at desc.",
"//": "drb-frontend lib/useCalls.ts + c2-core routers/calls.py search_calls — org-scoped call list, orderBy started_at DESC.",
"collectionGroup": "calls",
"queryScope": "COLLECTION",
"fields": [
{ "fieldPath": "org_id", "order": "ASCENDING" },
{ "fieldPath": "started_at", "order": "ASCENDING" }
{ "fieldPath": "started_at", "order": "DESCENDING" }
]
},
{
@@ -22,7 +22,7 @@
]
},
{
"//": "c2-core internal/recorrelation_sweep.py:45 — status == 'ended' AND ended_at >= cutoff. Backend only; was live but undeclared until 2026-08-23.",
"//": "c2-core internal/recorrelation_sweep.py:45 — status == 'ended' AND ended_at >= cutoff. Range filter, no orderBy: direction-agnostic. Backend only.",
"collectionGroup": "calls",
"queryScope": "COLLECTION",
"fields": [
@@ -31,7 +31,7 @@
]
},
{
"//": "c2-core internal/dedup.py:84 — system_id == X AND started_at within a +/- window. Was live-failing on essentially every inbound call (server-26#84): dedup caught the FAILED_PRECONDITION and degraded to \"not a duplicate\", so double-heard transmissions were stored twice and would have been transcribed and correlated twice the moment an AI window opened. Created directly on c2-server 2026-08-28.",
"//": "c2-core internal/dedup.py:84 — system_id == X AND started_at within a +/- window. Range filter, direction-agnostic. Was live-failing on essentially every inbound call (server-26#84): dedup caught the FAILED_PRECONDITION and degraded to \"not a duplicate\", so double-heard transmissions were stored twice. Created directly on c2-server 2026-08-28.",
"collectionGroup": "calls",
"queryScope": "COLLECTION",
"fields": [
@@ -40,7 +40,7 @@
]
},
{
"//": "c2-core internal/vocabulary_learner.py:290 — system_id == X AND ended_at >= cutoff. Backend only; was live but undeclared until 2026-08-23.",
"//": "c2-core internal/vocabulary_learner.py:290 — system_id == X AND ended_at >= cutoff. Range filter, direction-agnostic. Backend only.",
"collectionGroup": "calls",
"queryScope": "COLLECTION",
"fields": [
@@ -49,31 +49,31 @@
]
},
{
"//": "drb-frontend lib/useIncidents.ts — org-scoped incident browse, orderBy started_at desc.",
"//": "drb-frontend lib/useIncidents.ts — org-scoped incident browse, orderBy started_at DESC.",
"collectionGroup": "incidents",
"queryScope": "COLLECTION",
"fields": [
{ "fieldPath": "org_id", "order": "ASCENDING" },
{ "fieldPath": "started_at", "order": "ASCENDING" }
{ "fieldPath": "started_at", "order": "DESCENDING" }
]
},
{
"//": "drb-frontend lib/useAlerts.ts — org-scoped alert feed, orderBy triggered_at desc.",
"//": "drb-frontend lib/useAlerts.ts — org-scoped alert feed, where(org_id ==) orderBy(triggered_at DESC).",
"collectionGroup": "alert_events",
"queryScope": "COLLECTION",
"fields": [
{ "fieldPath": "org_id", "order": "ASCENDING" },
{ "fieldPath": "triggered_at", "order": "ASCENDING" }
{ "fieldPath": "triggered_at", "order": "DESCENDING" }
]
},
{
"//": "drb-frontend lib/useAlerts.ts useUnacknowledgedAlerts — the nav badge.",
"//": "drb-frontend lib/useAlerts.ts useUnacknowledgedAlerts (nav badge) and the /watch \"Triggered Alerts\" tab — where(org_id ==) where(acknowledged == false) orderBy(triggered_at DESC). Field tuple + triggered_at DESCENDING copy the console create_composite link verbatim (server-26#51). Distinct from the (org_id, triggered_at) feed index above (no acknowledged filter).",
"collectionGroup": "alert_events",
"queryScope": "COLLECTION",
"fields": [
{ "fieldPath": "org_id", "order": "ASCENDING" },
{ "fieldPath": "acknowledged", "order": "ASCENDING" },
{ "fieldPath": "triggered_at", "order": "ASCENDING" }
{ "fieldPath": "org_id", "order": "ASCENDING" },
{ "fieldPath": "triggered_at", "order": "DESCENDING" }
]
}
],