"""
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