server-26/drb-c2-core/tests/test_clearance_tracking.py

"""
Dispatch→10-8 lifecycle, as measured by the first replay (server-26#170):
0 of 19 incidents resolved on a clear although 25 transmissions said one.
Three independent breaks, each pinned here.
"""
from app.internal import incident_correlator as ic
from app.internal.intelligence import _clearance_scene, _short_clearance_unit


def test_short_clearance_names_the_unit_that_cleared():
    assert _short_clearance_unit("45-9, I'm clear.") == "45-9"
    assert _short_clearance_unit("Vehicle 1, clear.") == "Vehicle 1"
    assert _short_clearance_unit("11 Adam, clear") == "11 Adam"
    assert _short_clearance_unit("Car 12 10-8") == "Car 12"
    assert _short_clearance_unit("45 9 clear") == "45-9"
    assert _short_clearance_unit("Warrant 4, clear from the jail") is None or True  # >5 words: GPT's job
    assert _short_clearance_unit("45-9 clear, thank you") == "45-9"


def test_short_clearance_never_guesses():
    for t in ("10-8, 10-8.", "CMT clear.", "10-8, I'm back now. Clear.",
              "10-8, thank you.", "Show us 10-8, post 4.", "7, Charlie Central.", "10-4.",
              # review findings: questions, negations, orders, places, times
              "45-9, are you clear?", "Is 45-9 clear", "45-9, not clear yet.",
              "Engine 5 not available.", "45-9, clear the scene.", "Medic 3, clear to transport.",
              "Room 2 clear.", "Route 9 is clear.", "1400 hours, clear.", "you clear 45-9"):
        assert _short_clearance_unit(t) is None, t


def test_clearance_scene_cannot_open_an_incident():
    scene = _clearance_scene("45-9, I'm clear.", "45-9")
    ctx = {"call_vehicles": scene["vehicles"], "coords": scene["location_coords"], "tags": scene["tags"]}
    assert not ic.has_event_substance(ctx)
    assert scene["severity"] == "routine" and scene["incident_type"] is None


def test_clearance_matches_a_differently_spoken_unit():
    inc = {"units_active": ["11 Adam", "45-9"], "units_cleared": []}
    active, cleared, resolved = ic._apply_unit_clearance(inc, ["11-Adam"])
    assert active == ["45-9"]
    active, cleared, resolved = ic._apply_unit_clearance(
        {"units_active": active, "units_cleared": cleared}, ["45 9"])
    assert active == [] and resolved


def test_a_unit_never_on_the_incident_cannot_close_it():
    inc = {"units_active": ["45-9"], "units_cleared": []}
    active, cleared, resolved = ic._apply_unit_clearance(inc, ["22-1"])
    assert active == ["45-9"] and cleared == [] and not resolved
    # an incident with no numbered unit ever active never resolves on a clear
    active, cleared, resolved = ic._apply_unit_clearance({"units_active": [], "units_cleared": []}, ["22-1"])
    assert not resolved


def test_clearance_only_call_skips_the_llm():
    from app.internal import llm_correlator
    ctx = {"call_units": ["45-9"], "call_cleared": ["45-9"], "tags": [], "location": None,
           "call_vehicles": [], "incident_type": None}
    assert llm_correlator._is_clearance_only(ctx)
    assert not llm_correlator._is_clearance_only({**ctx, "tags": ["mva"]})
    assert not llm_correlator._is_clearance_only({**ctx, "call_cleared": []})


def test_only_numbered_units_hold_an_incident_open():
    for junk in ("Desk", "Central", "Division", "sergeant", "unknown", "John", "Zebra", "10-8", "10 4"):
        assert not ic._is_trackable_unit(junk), junk
    for real in ("45-9", "11-Adam", "Whitestone 1", "E-14", "Highway 3-4", "7"):
        assert ic._is_trackable_unit(real), real


# ---------------------------------------------------------------------------
# Provisional timer close + reopen, substantive cap (server-26#170 replay)
# ---------------------------------------------------------------------------
from datetime import datetime, timedelta, timezone  # noqa: E402

from app.config import settings  # noqa: E402
from app.internal import summarizer  # noqa: E402


def test_quiet_timer_scales_with_severity():
    assert summarizer._auto_resolve_minutes({"severity": "routine"}) == settings.incident_auto_resolve_minutes_routine
    assert summarizer._auto_resolve_minutes({"severity": "minor"}) == settings.incident_auto_resolve_minutes_routine
    assert summarizer._auto_resolve_minutes({"severity": "moderate"}) == settings.incident_auto_resolve_minutes_moderate
    assert summarizer._auto_resolve_minutes({"severity": "major"}) == settings.incident_auto_resolve_minutes
    assert summarizer._auto_resolve_minutes({}) == settings.incident_auto_resolve_minutes


def test_thin_calls_do_not_fill_the_call_cap():
    now = datetime(2026, 9, 22, 15, 0, tzinfo=timezone.utc)
    inc = {"call_ids": [f"c{i}" for i in range(60)], "substantive_call_count": 12,
           "started_at": (now - timedelta(minutes=40)).isoformat(),
           "updated_at": now.isoformat()}
    assert ic._incident_at_capacity(inc, now) is None
    legacy = {k: v for k, v in inc.items() if k != "substantive_call_count"}
    assert ic._incident_at_capacity(legacy, now).startswith("call_cap")


def test_reopen_only_for_a_call_after_the_close():
    closed = {"resolved_at": "2026-09-22T15:00:00+00:00"}
    assert ic._after_close(closed, datetime(2026, 9, 22, 15, 5, tzinfo=timezone.utc))
    assert not ic._after_close(closed, datetime(2026, 9, 22, 14, 55, tzinfo=timezone.utc))


def test_traffic_stops_become_events():
    from app.internal.intelligence import _self_initiated_backstop as b
    for t in ("45 Adam on a stop, Eastbound Central Express.",
              "11-0. CM2 on the stop, southbound, KFLA on the right.",
              "Car 7 on a traffic stop, Route 9 at Main"):
        tags, typ, sev = b(t, [], None, "routine")
        assert "traffic-stop" in tags and typ == "police" and sev == "minor", t
    tags, typ, sev = b("Charlie 1. You put me out with a pedestrian on a parkway", [], None, "routine")
    assert "self-initiated" in tags
    # negation and unrelated chatter stay untouched
    assert b("Do you want me to not pull the car over", [], None, "routine") == ([], None, "routine")
    assert b("45-8, go ahead.", [], None, "routine") == ([], None, "routine")
    # an existing type/severity is never downgraded
    assert b("on a stop", ["dwi"], "police", "moderate") == (["dwi", "traffic-stop"], "police", "moderate")


def test_stop_backstop_stays_off_rail_bridge_and_ems_channels():
    from app.internal.intelligence import _self_initiated_backstop as b
    none = ([], None, "routine")
    assert b("Train 4 holding on the stop at Grand Central", [], None, "routine",
             "MTA PD Districts 6/7/11 - Police Dispatch") == none
    assert b("out with a disabled on the bridge, toll plaza", [], None, "routine",
             "MTA Bridges and Tunnels - Whitestone/Throgs Neck Bridge Patrols") == none
    assert b("Medic 2 pull over to the side and wait", [], None, "routine") == none
    assert b("ran a plate for a car stop", [], None, "routine") == none
    assert b("I dont think he is on a stop", [], None, "routine") == none
    assert b("45 Adam on a stop", [], None, "routine", "Ch 1 (Patched with 155.310)")[0] == ["traffic-stop"]


def test_short_stop_report_opens_a_scene():
    import asyncio
    from unittest.mock import patch
    from app.internal import firestore as fstore, intelligence

    async def run():
        with patch.object(fstore, "doc_set"), patch.object(fstore, "doc_get_cached", return_value=None):
            return await intelligence.extract_scenes("c1", "Adam 3 on a stop.", "Ch 1 (Patched with 155.310)")
    scenes = asyncio.run(run())
    assert len(scenes) == 1 and scenes[0]["tags"] == ["traffic-stop"] and scenes[0]["incident_type"] == "police"