import cv2

def detect_event_segments(video_path):
    cap = cv2.VideoCapture(video_path)
    fps = cap.get(cv2.CAP_PROP_FPS)

    segments = []
    segment_duration = 5  # seconds per segment
    frames_per_segment = int(segment_duration * fps)

    frame_number = 0

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

        frame_number += 1

        if frame_number % frames_per_segment == 1:
            segment_start_sec = (frame_number - 1) / fps
            segment_end_sec = (frame_number + frames_per_segment - 2) / fps
            segments.append({
                "start_sec": segment_start_sec,
                "end_sec": segment_end_sec,
                "frames": []  # This can hold keyframes later if needed
            })

        if segments:
            segments[-1]["frames"].append(frame)

    cap.release()

    # Final cleanup to make sure segment end matches actual video length if needed
    if segments:
        total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
        total_duration = total_frames / fps
        segments[-1]["end_sec"] = min(segments[-1]["end_sec"], total_duration)

    return segments