import concurrent.futures
from models import (
    bridge_detector, encroachment_detector, structure_progress_detector,
    pothole_detector, crack_detector, unauthorized_median_detector,
    crash_barrier_detector, highway_exit_detector, drain_detector,
    tree_height_detector, latitude_detector, vari_detector
)
from utils.video_utils import extract_frames

model_map = {
    "Bridges": bridge_detector.run,
    "Encroachment": encroachment_detector.run,
    "Structure Progress": structure_progress_detector.run,
    "Potholes": pothole_detector.run,
    "Crack": crack_detector.run,
    "Unauthorized Median Opening": unauthorized_median_detector.run,
    "Crash Barriers": crash_barrier_detector.run,
    "Entry/Exit of Highway": highway_exit_detector.run,
    "Drain": drain_detector.run,
    "Tree Height": tree_height_detector.run,
    "Latitude": latitude_detector.run,
    "VARI": vari_detector.run
}

def process_video(video_file, selected_params):
    frames = extract_frames(video_file)
    results = {}
    with concurrent.futures.ThreadPoolExecutor() as executor:
        future_to_param = {
            executor.submit(model_map[param], frames): param for param in selected_params
        }
        for future in concurrent.futures.as_completed(future_to_param):
            param = future_to_param[future]
            results[param] = future.result()
    return [img for imgs in results.values() for img in imgs]