import os

import re

import kagglehub

from tensorflow_hub import resolver

short_url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/(?P<owner>[^\\/]+)/(?P<model>[^\\/]+)/(?P<framework>[^\\/]+)/(?P<variation>[^\\/]+)/(?P<version>[0-9]+)$")

long_url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/(?P<owner>[^\\/]+)/(?P<model>[^\\/]+)/frameworks/(?P<framework>[^\\/]+)/variations/(?P<variation>[^\\/]+)/versions/(?P<version>[0-9]+)$")

def _is_on_kaggle_notebook():

return os.getenv("KAGGLE_KERNEL_RUN_TYPE") != None and os.getenv("KAGGLE_USER_SECRETS_TOKEN") != None

def _is_kaggle_handle(handle):

return long_url_pattern.match(handle) != None or short_url_pattern.match(handle) != None

class KaggleFileResolver(resolver.HttpResolverBase):

def is_supported(self, handle):

return _is_on_kaggle_notebook() and _is_kaggle_handle(handle)

def __call__(self, handle):

m = long_url_pattern.match(handle) or short_url_pattern.match(handle)

return kagglehub.model_download(f"{m.group('owner')}/{m.group('model')}/{m.group('framework').lower()}/{m.group('variation')}/{m.group('version')}")