import numpy as np
from pathlib import Path

from v1.config import AppConfig, EventConfig
from v1.fall_policy import FallEvidencePolicy
from v1.fall_state import FallState, FallStateMachine
from v1.pipeline import FallPipeline
from v1.pose import Keypoint, PersonPose
from v1.tracking import PersonTracker
from v1.video_source import FramePacket, SourceStatus


class _SequencePoseAdapter:
    def __init__(self, frames):
        self._frames = iter(frames)

    def infer(self, _image):
        return next(self._frames)


def _pose(horizontal=False):
    points = [Keypoint(float(index), float(index), 0.9) for index in range(17)]
    if horizontal:
        points[5] = Keypoint(20.0, 80.0, 0.9)
        points[6] = Keypoint(30.0, 80.0, 0.9)
        points[11] = Keypoint(70.0, 100.0, 0.9)
        points[12] = Keypoint(80.0, 100.0, 0.9)
    else:
        points[5] = Keypoint(30.0, 10.0, 0.9)
        points[6] = Keypoint(40.0, 10.0, 0.9)
        points[11] = Keypoint(30.0, 30.0, 0.9)
        points[12] = Keypoint(40.0, 30.0, 0.9)
    return PersonPose(
        box_xyxy=(20.0, 20.0, 160.0, 160.0),
        box_confidence=0.9,
        keypoints=tuple(points),
    )


def _packet(timestamp):
    return FramePacket(
        image=np.zeros((180, 180, 3), dtype=np.uint8),
        timestamp_monotonic=timestamp,
        status=SourceStatus.CONNECTED,
    )


def _pipeline(frames):
    machine = FallStateMachine(
        confirm_window_seconds=1.0,
        recovery_window_seconds=2.0,
        config_version="cfg-test-pipeline",
    )
    return (
        FallPipeline(
            pose_adapter=_SequencePoseAdapter(frames),
            tracker=PersonTracker(),
            policy=FallEvidencePolicy(suspect_window_seconds=0.5),
            state_machine=machine,
            keypoint_confidence_threshold=0.4,
        ),
        machine,
    )


def _config():
    return AppConfig(
        source_id="lobby-camera-01",
        source_url="rtsp://not-written-to-disk/live",
        model_path=Path("models/best.pt"),
        model_sha256="a" * 64,
        confidence_threshold=0.25,
        event=EventConfig(
            keypoint_confidence_threshold=0.4,
            suspect_window_seconds=0.5,
            confirm_window_seconds=1.0,
            recovery_window_seconds=2.0,
            cooldown_seconds=3.0,
        ),
        event_dir=Path("artifacts/events"),
    )


def test_pipeline_confirms_a_recent_drop_that_remains_horizontal():
    pipeline, machine = _pipeline([(_pose(),), (_pose(horizontal=True),), (_pose(horizontal=True),)])

    pipeline.process(_packet(0.0))
    pipeline.process(_packet(0.1))
    result = pipeline.process(_packet(1.1))

    assert len(result.events) == 1
    assert result.events[0].config_version == "cfg-test-pipeline"
    assert machine.state_of("P-0001") is FallState.CONFIRMED


def test_pipeline_rejects_a_suspect_when_the_track_is_missing_for_one_frame():
    pipeline, machine = _pipeline([(_pose(),), (_pose(horizontal=True),), (), (_pose(horizontal=True),)])

    pipeline.process(_packet(0.0))
    pipeline.process(_packet(0.1))
    pipeline.process(_packet(0.2))
    result = pipeline.process(_packet(1.1))

    assert result.events == ()
    assert machine.state_of("P-0001") is FallState.NORMAL


def test_pipeline_from_config_uses_runtime_version_for_confirmed_event():
    config = _config()
    pipeline = FallPipeline.from_config(
        config,
        pose_adapter=_SequencePoseAdapter(
            [(_pose(),), (_pose(horizontal=True),), (_pose(horizontal=True),)]
        ),
    )

    pipeline.process(_packet(0.0))
    pipeline.process(_packet(0.1))
    result = pipeline.process(_packet(1.1))

    assert result.events[0].config_version == config.runtime_config_version