import cv2
import os
import tempfile
from detector import LBWDetector
from utils import draw_boxes, overlay_decision_text

def process_video(video_path, output_path="output.mp4"):
    """Process a video, detect objects, make LBW decisions, and return output path and decision."""
    detector = LBWDetector()
    cap = cv2.VideoCapture(video_path)

    width = int(cap.get(3))
    height = int(cap.get(4))
    fps = cap.get(cv2.CAP_PROP_FPS)

    out = cv2.VideoWriter(output_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (width, height))

    stump_zone = (width // 3, 2 * width // 3)
    final_decision = "Not Out"

    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break

        detections, class_names = detector.detect_objects(frame)
        frame = draw_boxes(frame, detections, class_names)

        decision = "Not Out"
        ball_bbox = None
        player_bbox = None

        for x1, y1, x2, y2, conf, cls_id in detections:
            label = class_names[int(cls_id)]
            if label == "ball":
                ball_bbox = (x1, y1, x2, y2)
            elif label in ["player", "pads"]:
                player_bbox = (x1, y1, x2, y2)

        if ball_bbox and player_bbox:
            ball_x_center = (ball_bbox[0] + ball_bbox[2]) / 2
            if (stump_zone[0] <= ball_x_center <= stump_zone[1] and
                ball_bbox[1] < player_bbox[3] and ball_bbox[3] > player_bbox[1]):
                decision = "Out"
                final_decision = "Out"

        frame = overlay_decision_text(frame, decision)
        out.write(frame)

    cap.release()
    out.release()
    return output_path, final_decision