[AutoPR cognitiveservices/data-plane/LUIS/Runtime] Add v3.0-preview A…

…PIs for LUIS (#4960)

* Generated from 3b6c95c26c08dc9d6ef54d2cb6835ded8f5e4bed

Remove the timezoneoffset property

* Packaging update of azure-cognitiveservices-language-luis

azure-cognitiveservices-language-luis/MANIFEST.in

@@ -1 +1,6 @@
+recursive-include tests *.py *.yaml
 include *.rst
+include azure/__init__.py
+include azure/cognitiveservices/__init__.py
+include azure/cognitiveservices/language/__init__.py
+

azure-cognitiveservices-language-luis/README.rst

@@ -8,25 +8,6 @@ This package has been tested with Python 2.7, 3.4, 3.5, 3.6 and 3.7.
 For a more complete set of Azure libraries, see the `azure <https://pypi.python.org/pypi/azure>`__ bundle package.
 
 
-Compatibility
-=============
-
-**IMPORTANT**: If you have an earlier version of the azure package
-(version < 1.0), you should uninstall it before installing this package.
-
-You can check the version using pip:
-
-.. code:: shell
-
-    pip freeze
-
-If you see azure==0.11.0 (or any version below 1.0), uninstall it first:
-
-.. code:: shell
-
-    pip uninstall azure
-
-
 Usage
 =====
 

azure-cognitiveservices-language-luis/azure/cognitiveservices/language/luis/runtime/models/luis_result.py

@@ -15,7 +15,7 @@
 class LuisResult(Model):
     """Prediction, based on the input query, containing intent(s) and entities.
 
-    :param query: The input utterance that was analized.
+    :param query: The input utterance that was analyzed.
     :type query: str
     :param altered_query: The corrected utterance (when spell checking was
      enabled).
@@ -37,6 +37,9 @@ class LuisResult(Model):
     :param sentiment_analysis:
     :type sentiment_analysis:
      ~azure.cognitiveservices.language.luis.runtime.models.Sentiment
+    :param connected_service_result:
+    :type connected_service_result:
+     ~azure.cognitiveservices.language.luis.runtime.models.LuisResult
     """
 
     _attribute_map = {
@@ -47,6 +50,7 @@ class LuisResult(Model):
         'entities': {'key': 'entities', 'type': '[EntityModel]'},
         'composite_entities': {'key': 'compositeEntities', 'type': '[CompositeEntityModel]'},
         'sentiment_analysis': {'key': 'sentimentAnalysis', 'type': 'Sentiment'},
+        'connected_service_result': {'key': 'connectedServiceResult', 'type': 'LuisResult'},
     }
 
     def __init__(self, **kwargs):
@@ -58,3 +62,4 @@ def __init__(self, **kwargs):
         self.entities = kwargs.get('entities', None)
         self.composite_entities = kwargs.get('composite_entities', None)
         self.sentiment_analysis = kwargs.get('sentiment_analysis', None)
+        self.connected_service_result = kwargs.get('connected_service_result', None)

azure-cognitiveservices-language-luis/azure/cognitiveservices/language/luis/runtime/models/luis_result_py3.py

@@ -15,7 +15,7 @@
 class LuisResult(Model):
     """Prediction, based on the input query, containing intent(s) and entities.
 
-    :param query: The input utterance that was analized.
+    :param query: The input utterance that was analyzed.
     :type query: str
     :param altered_query: The corrected utterance (when spell checking was
      enabled).
@@ -37,6 +37,9 @@ class LuisResult(Model):
     :param sentiment_analysis:
     :type sentiment_analysis:
      ~azure.cognitiveservices.language.luis.runtime.models.Sentiment
+    :param connected_service_result:
+    :type connected_service_result:
+     ~azure.cognitiveservices.language.luis.runtime.models.LuisResult
     """
 
     _attribute_map = {
@@ -47,9 +50,10 @@ class LuisResult(Model):
         'entities': {'key': 'entities', 'type': '[EntityModel]'},
         'composite_entities': {'key': 'compositeEntities', 'type': '[CompositeEntityModel]'},
         'sentiment_analysis': {'key': 'sentimentAnalysis', 'type': 'Sentiment'},
+        'connected_service_result': {'key': 'connectedServiceResult', 'type': 'LuisResult'},
     }
 
-    def __init__(self, *, query: str=None, altered_query: str=None, top_scoring_intent=None, intents=None, entities=None, composite_entities=None, sentiment_analysis=None, **kwargs) -> None:
+    def __init__(self, *, query: str=None, altered_query: str=None, top_scoring_intent=None, intents=None, entities=None, composite_entities=None, sentiment_analysis=None, connected_service_result=None, **kwargs) -> None:
         super(LuisResult, self).__init__(**kwargs)
         self.query = query
         self.altered_query = altered_query
@@ -58,3 +62,4 @@ def __init__(self, *, query: str=None, altered_query: str=None, top_scoring_inte
         self.entities = entities
         self.composite_entities = composite_entities
         self.sentiment_analysis = sentiment_analysis
+        self.connected_service_result = connected_service_result

azure-cognitiveservices-language-luis/azure/cognitiveservices/language/luis/runtime/operations/prediction_operations.py

@@ -53,7 +53,7 @@ def resolve(
         :param spell_check: Enable spell checking.
         :type spell_check: bool
         :param bing_spell_check_subscription_key: The subscription key to use
-         when enabling bing spell check
+         when enabling Bing spell check
         :type bing_spell_check_subscription_key: str
         :param log: Log query (default is true)
         :type log: bool

azure-cognitiveservices-language-luis/setup.py

@@ -53,6 +53,7 @@
     version=version,
     description='Microsoft Azure {} Client Library for Python'.format(PACKAGE_PPRINT_NAME),
     long_description=readme + '\n\n' + history,
+    long_description_content_type='text/x-rst',
     license='MIT License',
     author='Microsoft Corporation',
     author_email='[email protected]',
@@ -79,6 +80,7 @@
     ]),
     install_requires=[
         'msrest>=0.5.0',
+        'msrestazure>=0.4.32,<2.0.0',
         'azure-common~=1.1',
     ],
     extras_require={