Remove invalid import from Watson NLU tests (#173)

* Remove invalid MetadataOptions import * Update the release procedure to enable Watson NLU api tests
CODAIT · Feb 1, 2021 · cb821c2 · cb821c2
1 parent 9b13e73
commit cb821c2
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diff --git a/docs/release.md b/docs/release.md
@@ -7,6 +7,9 @@ Steps to release a new version:
    and Pandas. The current versions are:
    * Python: 3.6, 3.7, 3.8
    * Pandas: 1.0.x, 1.1.x
+
+1. Ensure Watson NLU service API tests are enabled and passing by setting 
+   IBM_API_KEY and IBM_SERVICE_URL, then running unit tests with pytest.
 
 1. Activate your Text Extensions for Pandas build environment (usually called 
    `pd`)

diff --git a/text_extensions_for_pandas/io/watson/test_nlu.py b/text_extensions_for_pandas/io/watson/test_nlu.py
@@ -424,8 +424,9 @@ def setUpClass(cls):
     def _make_request():
         from ibm_watson import NaturalLanguageUnderstandingV1
         from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
-        from ibm_watson.natural_language_understanding_v1 import Features, CategoriesOptions, ConceptsOptions, EmotionOptions, EntitiesOptions, KeywordsOptions, \
-            MetadataOptions, RelationsOptions, SemanticRolesOptions, SentimentOptions, SyntaxOptions, SyntaxOptionsTokens
+        from ibm_watson.natural_language_understanding_v1 import Features, CategoriesOptions, ConceptsOptions, \
+            EmotionOptions, EntitiesOptions, KeywordsOptions, RelationsOptions, SemanticRolesOptions, \
+            SentimentOptions, SyntaxOptions, SyntaxOptionsTokens
 
         # Retrieve the APIKEY for authentication
         apikey = os.environ.get("IBM_API_KEY")
@@ -454,8 +455,7 @@ def _make_request():
                 #concepts=ConceptsOptions(limit=3),
                 #emotion=EmotionOptions(targets=['grail']),
                 entities=EntitiesOptions(sentiment=True),
-                keywords=KeywordsOptions(sentiment=True,emotion=True),
-                #metadata=MetadataOptions(),
+                keywords=KeywordsOptions(sentiment=True, emotion=True),
                 relations=RelationsOptions(),
                 semantic_roles=SemanticRolesOptions(),
                 #sentiment=SentimentOptions(targets=['Arthur']),