import mediapipe as mp
from mediapipe import solutions
from mediapipe.framework.formats import landmark_pb2
import numpy as np


def draw_mediapipe_landmarks_on_image(rgb_image: object, face_landmarks_list: object) -> object:
    annotated_image = np.copy(rgb_image)

    # Loop through the detected faces to visualize.
    for idx in range(len(face_landmarks_list)):
        face_landmarks = face_landmarks_list[idx]

        # Draw the face landmarks.
        face_landmarks_proto = landmark_pb2.NormalizedLandmarkList()
        face_landmarks_proto.landmark.extend([
            landmark_pb2.NormalizedLandmark(x=landmark.x, y=landmark.y, z=landmark.z) for landmark in face_landmarks
        ])

        # print(len(mp.solutions.face_mesh.FACEMESH_TESSELATION))
        # exit()

        solutions.drawing_utils.draw_landmarks(
            image=annotated_image,
            landmark_list=face_landmarks_proto,
            connections=mp.solutions.face_mesh.FACEMESH_TESSELATION,
            # connections=FACEMESH_NOSE,
            landmark_drawing_spec=None,
            connection_drawing_spec=mp.solutions.drawing_styles.get_default_face_mesh_tesselation_style()
        )
        solutions.drawing_utils.draw_landmarks(
            image=annotated_image,
            landmark_list=face_landmarks_proto,
            connections=mp.solutions.face_mesh.FACEMESH_CONTOURS,
            landmark_drawing_spec=None,
            connection_drawing_spec=mp.solutions.drawing_styles.get_default_face_mesh_contours_style())
        solutions.drawing_utils.draw_landmarks(
            image=annotated_image,
            landmark_list=face_landmarks_proto,
            connections=mp.solutions.face_mesh.FACEMESH_IRISES,
            landmark_drawing_spec=None,
            connection_drawing_spec=mp.solutions.drawing_styles.get_default_face_mesh_iris_connections_style())

    return annotated_image