import mediapipe as mp
import cv2
import numpy as np

mp_holistic = mp.solutions.holistic

def extract_keypoints_from_frame(frame):
    with mp_holistic.Holistic(static_image_mode=True) as holistic:
        results = holistic.process(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
        if results.pose_landmarks and results.left_hand_landmarks and results.right_hand_landmarks:
            pose = np.array([[p.x, p.y, p.z] for p in results.pose_landmarks.landmark])
            left = np.array([[p.x, p.y, p.z] for p in results.left_hand_landmarks.landmark])
            right = np.array([[p.x, p.y, p.z] for p in results.right_hand_landmarks.landmark])
            return np.concatenate([pose, left, right], axis=0).flatten()
        return np.random.random(33*3 + 21*3*2)  # fallback