import re
import ast
import cv2



example_output = "In frame 06, a adult in grey clothes is on the right of the baby at position [0.397, 0.006, 0.716, 0.998]. The adult continues to be on the right of the baby until frame 99, where the adult is positioned at [0.397, 0.006, 0.716, 0.998]."


def search_a_file_in_directory(directory, file_name):
    import os
    for root, dirs, files in os.walk(directory):
        if file_name in files:
            return os.path.join(root, file_name)
    return None

def extract_frame_and_position(output: str):
    # Find the first frame number in the string
    match = re.search(r'frame (\d+)', output)
    if match:
        # Parse frame number
        frame0 = int(match.group(1))

        # Remove the matched substring from the string
        output = re.sub(r'frame (\d+)', '', output, count=1)
        
    # Find the first position in the string
    match = re.search(r'position (\[.*?\])', output)
    if match:
        # Parse position
        position0 = ast.literal_eval(match.group(1))

        # Remove the matched substring from the string
        output = re.sub(r'position (\[.*?\])', '', output, count=1)
    
    return [[frame0, position0],[1, 2]]
    
def main(N = 100):
    vidor_path_base = 'vidor/train/video'
    
    video_path = search_a_file_in_directory(vidor_path_base, '5541679096.mp4')
    
    results = extract_frame_and_position(example_output)
    
    frame0 = results[0][0]
    bbox0 = results[0][1]
    frame1 = results[1][0]
    bbox1 = results[1][1]

    cap = cv2.VideoCapture(video_path)
    total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
    real_frame0 = int(frame0 * total_frames / N)
    real_frame1 = int(frame1 * total_frames / N)
    
    cap.set(cv2.CAP_PROP_POS_FRAMES, real_frame0)
    
    ret, frame = cap.read()
    if ret:
        height, width = frame.shape[:2]
        
        xmin = int(bbox0[0] * width)
        ymin = int(bbox0[1] * height)
        xmax = int(bbox0[2] * width)
        ymax = int(bbox0[3] * height)
        
        cv2.rectangle(frame, (xmin, ymin), (xmax, ymax), (0, 255, 0), 2)
        
        # Display the frame
        cv2.imshow('Frame', frame)
        cv2.waitKey(0)
        cv2.destroyAllWindows()
        
    cap.release()


if __name__ == "__main__":
    main()