def test_get_secret_validates_label(self):
env = EnvironmentVarGuard()
env.set(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME, _TEST_JWT)
with env:
client = UserSecretsClient()
with self.assertRaises(ValidationError):
secret_response = client.get_secret("")
def kaggle_settings():
"""kaggle_settings
NOTE: This function is only usable in the kaggle notebook
"""
from kaggle_secrets import UserSecretsClient
user_secrets = UserSecretsClient()
secret_dict = {}
secret_dict['NEPTUNE_API_TOKEN'] = user_secrets.get_secret(
'NEPTUNE_API_TOKEN')
secret_dict['GITHUB_PAT'] = user_secrets.get_secret('GITHUB_PAT')
# For gcsfs
UserSecretsClient().set_gcloud_credentials()
for key, value in secret_dict.items():
os.environ[key] = value
def call_get_secret():
client = UserSecretsClient()
with self.assertRaises(BackendError):
secret_response = client.get_secret("secret_label")
def call_get_secret():
client = UserSecretsClient()
secret_response = client.get_secret("secret_label")
self.assertEqual(secret_response, secret)
else:
# print("We are running in Kaggle")
isLocalhost = False
if isLocalhost:
# INPUT_FILES = '../output/cropped-cats-and-dogs/*.jpg'
INPUT_FILES = "../output/cropped-cats-and-dogs/*.jpg"
else:
INPUT_FILES = "/kaggle/input/cropped-cats-and-dogs/*.jpg"
from kaggle_secrets import UserSecretsClient
user_secrets = UserSecretsClient()
USER_ID = user_secrets.get_secret("user-id")
API_TOKEN = user_secrets.get_secret("api-token")
OUTPUT_DATASET_ID = "augmented-cats-and-dogs"
OUTPUT_DATASET_NAME = "Augmented Cats and Dogs"
OUTPUT_PATH = "./output/augmented-cats-and-dogs-multiprocessing"
NUM_AUGMENTATIONS = 10
# final image size
# Same size is used in Crop Cats and Dogs
X_SIZE = 224
Y_SIZE = 224
import os
