from lib.skn_anm import *


def read_skn(filepath) -> AnmSkin:
    with open(filepath, "rb") as fp:
        r = AnmFile.parse(fp, AnmSkin)
        return r


def main():
    f = ["/home/tasty/Projects/gck-map-extract-objects/anm_skn/rp_l0.skn"]
    my_vertex = Vec3(-0.927200, 0.099500, 3.108000)
    mini_dist_v = Vec3(0, 0, 0)
    for p in f:
        skn = read_skn(p)
        pprint(skn.default_obj_dictionnary)
        pprint(skn.node_dictionnary)
        for obj_name, obj in skn.default_obj_dictionnary.items():
            for cluster in obj.clusters:
                for vertex in cluster.vertices:
                    if vertex.distance(my_vertex) < mini_dist_v.distance(my_vertex):
                        mini_dist_v = vertex

    print("%s: dist=%s" % (mini_dist_v, mini_dist_v.distance(my_vertex)))


if __name__ == "__main__":
    main()