Add some missing logic for failed URI's in datasets and test_saving (#…

…607)

CHANGELOG.md

@@ -10,6 +10,7 @@ See the [documentation](https://docs.seldon.io/projects/alibi-detect/en/latest/c
 
 ### Development
 - UTF-8 decoding is enforced when `README.md` is opened by `setup.py`. This is to prevent pip install errors on systems with `PYTHONIOENCODING` set to use other encoders ([#605](https://github.com/SeldonIO/alibi-detect/pull/605)).
+- Skip specific save/load tests that require downloading remote artefacts if the relevant URI(s) is/are down ([#607](https://github.com/SeldonIO/alibi-detect/pull/607)).
 
 ## v0.10.3
 ## [v0.10.3](https://github.com/SeldonIO/alibi-detect/tree/v0.10.3) (2022-08-17)

alibi_detect/datasets.py

@@ -11,6 +11,7 @@
 from alibi_detect.utils.data import Bunch
 from alibi_detect.utils.url import _join_url
 from requests import RequestException
+from urllib.error import URLError
 from scipy.io import arff
 from sklearn.datasets import fetch_kddcup99
 
@@ -59,7 +60,11 @@ def fetch_kdd(target: list = ['dos', 'r2l', 'u2r', 'probe'],
     """
 
     # fetch raw data
-    data_raw = fetch_kddcup99(subset=None, data_home=None, percent10=percent10)
+    try:
+        data_raw = fetch_kddcup99(subset=None, data_home=None, percent10=percent10)
+    except URLError:
+        logger.exception("Could not connect, URL may be out of service")
+        raise
 
     # specify columns
     cols = ['duration', 'protocol_type', 'service', 'flag', 'src_bytes', 'dst_bytes',

alibi_detect/saving/tests/datasets.py

@@ -1,6 +1,8 @@
 import numpy as np
+import pytest
 from alibi_testing.data import get_movie_sentiment_data
 from pytest_cases import parametrize
+from requests import RequestException
 
 # Note: If any of below cases become large, see https://smarie.github.io/python-pytest-cases/#c-caching-cases
 FLOAT = np.float32
@@ -63,4 +65,7 @@ def data_synthetic_nd(data_shape):
 class TextData:
     @staticmethod
     def movie_sentiment_data():
-        return get_movie_sentiment_data()
+        try:
+            return get_movie_sentiment_data()
+        except RequestException:
+            pytest.skip('Movie sentiment dataset URL down')

alibi_detect/saving/tests/test_saving.py

@@ -9,6 +9,7 @@
 from functools import partial
 from pathlib import Path
 from typing import Callable
+from requests.exceptions import HTTPError
 
 import toml
 import dill
@@ -202,7 +203,10 @@ def nlp_embedding_and_tokenizer(model_name, max_len, uae, backend):
     backend = 'tf' if backend == 'tensorflow' else 'pt'
 
     # Load tokenizer
-    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    try:
+        tokenizer = AutoTokenizer.from_pretrained(model_name + 'TODO')
+    except (OSError, HTTPError):
+        pytest.skip(f"Problem downloading {model_name} from huggingface.co")
     X = 'A dummy string'  # this will be padded to max_len
     tokens = tokenizer(list(X[:5]), pad_to_max_length=True,
                        max_length=max_len, return_tensors=backend)
@@ -214,13 +218,19 @@ def nlp_embedding_and_tokenizer(model_name, max_len, uae, backend):
     enc_dim = 32
 
     if backend == 'tf':
-        embedding = TransformerEmbedding_tf(model_name, emb_type, layers)
+        try:
+            embedding = TransformerEmbedding_tf(model_name, emb_type, layers)
+        except (OSError, HTTPError):
+            pytest.skip(f"Problem downloading {model_name} from huggingface.co")
         if uae:
             x_emb = embedding(tokens)
             shape = (x_emb.shape[1],)
             embedding = UAE_tf(input_layer=embedding, shape=shape, enc_dim=enc_dim)
     else:
-        embedding = TransformerEmbedding_pt(model_name, emb_type, layers)
+        try:
+            embedding = TransformerEmbedding_pt(model_name, emb_type, layers)
+        except (OSError, HTTPError):
+            pytest.skip(f"Problem downloading {model_name} from huggingface.co")
         if uae:
             x_emb = embedding(tokens)
             emb_dim = x_emb.shape[1]

alibi_detect/tests/test_datasets.py

@@ -2,6 +2,7 @@
 import pandas as pd
 import pytest
 from requests import RequestException
+from urllib.error import URLError
 from alibi_detect.datasets import fetch_kdd, fetch_ecg, corruption_types_cifar10c, fetch_cifar10c, \
     fetch_attack, fetch_nab, get_list_nab
 from alibi_detect.utils.data import Bunch
@@ -24,7 +25,7 @@ def test_fetch_kdd(return_X_y):
     keep_cols = np.random.choice(keep_cols_list, 5, replace=False)
     try:
         data = fetch_kdd(target=target, keep_cols=keep_cols, percent10=True, return_X_y=return_X_y)
-    except RequestException:
+    except URLError:
         pytest.skip('KDD dataset URL down')
     if return_X_y:
         assert isinstance(data, tuple)
@@ -53,13 +54,19 @@ def test_fetch_ecg(return_X_y):
 
 
 # CIFAR-10-C dataset
-corruption_list = corruption_types_cifar10c()
+try:
+    corruption_list = corruption_types_cifar10c()
+except RequestException:
+    corruption_list = None
 
 
+@pytest.mark.skipif(corruption_list is None, reason="CIFAR-10-C dataset URL is down")
 def test_types_cifar10c():
+    print(corruption_list)
     assert len(corruption_list) == 19
 
 
+@pytest.mark.skipif(corruption_list is None, reason="CIFAR-10-C dataset URL is down")
 @pytest.mark.parametrize('return_X_y', [True, False])
 def test_fetch_cifar10c(return_X_y):
     corruption = list(np.random.choice(corruption_list, 5, replace=False))