[text analytics] don't take doc # in json pointer to account for now …

…bc of service bug (#13820)

sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_models.py

@@ -820,7 +820,7 @@ def __init__(self, **kwargs):
         self.mined_opinions = kwargs.get("mined_opinions", None)
 
     @classmethod
-    def _from_generated(cls, sentence, results):
+    def _from_generated(cls, sentence, results, sentiment):
         offset = sentence.offset
         length = sentence.length
         if isinstance(sentence, _v3_0_models.SentenceSentiment):
@@ -830,7 +830,7 @@ def _from_generated(cls, sentence, results):
             length = None
         if hasattr(sentence, "aspects"):
             mined_opinions = (
-                [MinedOpinion._from_generated(aspect, results) for aspect in sentence.aspects]  # pylint: disable=protected-access
+                [MinedOpinion._from_generated(aspect, results, sentiment) for aspect in sentence.aspects]  # pylint: disable=protected-access
                 if sentence.aspects else []
             )
         else:
@@ -871,27 +871,27 @@ def __init__(self, **kwargs):
         self.opinions = kwargs.get("opinions", None)
 
     @staticmethod
-    def _get_opinions(relations, results):
+    def _get_opinions(relations, results, sentiment):  # pylint: disable=unused-argument
         if not relations:
             return []
         opinion_relations = [r.ref for r in relations if r.relation_type == "opinion"]
         opinions = []
         for opinion_relation in opinion_relations:
             nums = _get_indices(opinion_relation)
-            document_index = nums[0]
             sentence_index = nums[1]
             opinion_index = nums[2]
             opinions.append(
-                results[document_index].sentences[sentence_index].opinions[opinion_index]
+                sentiment.sentences[sentence_index].opinions[opinion_index]
             )
         return opinions
 
     @classmethod
-    def _from_generated(cls, aspect, results):
+    def _from_generated(cls, aspect, results, sentiment):
         return cls(
             aspect=AspectSentiment._from_generated(aspect),  # pylint: disable=protected-access
             opinions=[
-                OpinionSentiment._from_generated(opinion) for opinion in cls._get_opinions(aspect.relations, results)  # pylint: disable=protected-access
+                OpinionSentiment._from_generated(opinion)  # pylint: disable=protected-access
+                for opinion in cls._get_opinions(aspect.relations, results, sentiment)
             ],
         )
 

sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_response_handlers.py

@@ -126,7 +126,7 @@ def sentiment_result(sentiment, results):
         warnings=[TextAnalyticsWarning._from_generated(w) for w in sentiment.warnings],  # pylint: disable=protected-access
         statistics=TextDocumentStatistics._from_generated(sentiment.statistics),  # pylint: disable=protected-access
         confidence_scores=SentimentConfidenceScores._from_generated(sentiment.confidence_scores),  # pylint: disable=protected-access
-        sentences=[SentenceSentiment._from_generated(s, results) for s in sentiment.sentences],  # pylint: disable=protected-access
+        sentences=[SentenceSentiment._from_generated(s, results, sentiment) for s in sentiment.sentences],  # pylint: disable=protected-access
     )
 
 @prepare_result

sdk/textanalytics/azure-ai-textanalytics/tests/recordings/test_analyze_sentiment.test_opinion_mining_more_than_5_documents.yaml

@@ -0,0 +1,59 @@
+interactions:
+- request:
+    body: '{"documents": [{"id": "0", "text": "The food was unacceptable", "language":
+      "en"}, {"id": "1", "text": "The rooms were beautiful. The AC was good and quiet.",
+      "language": "en"}, {"id": "2", "text": "The breakfast was good, but the toilet
+      was smelly.", "language": "en"}, {"id": "3", "text": "Loved this hotel - good
+      breakfast - nice shuttle service - clean rooms.", "language": "en"}, {"id":
+      "4", "text": "I had a great unobstructed view of the Microsoft campus.", "language":
+      "en"}, {"id": "5", "text": "Nice rooms but bathrooms were old and the toilet
+      was dirty when we arrived.", "language": "en"}, {"id": "6", "text": "The toilet
+      smelled.", "language": "en"}]}'
+    headers:
+      Accept:
+      - application/json, text/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '664'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-textanalytics/5.1.0b1 Python/3.8.5 (macOS-10.13.6-x86_64-i386-64bit)
+    method: POST
+    uri: https://westcentralus.api.cognitive.microsoft.com/text/analytics/v3.1-preview.2/sentiment?showStats=false&opinionMining=true&stringIndexType=UnicodeCodePoint
+  response:
+    body:
+      string: '{"documents":[{"id":"0","sentiment":"negative","confidenceScores":{"positive":0.0,"neutral":0.0,"negative":1.0},"sentences":[{"sentiment":"negative","confidenceScores":{"positive":0.0,"neutral":0.0,"negative":1.0},"offset":0,"length":25,"text":"The
+        food was unacceptable","aspects":[{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":4,"length":4,"text":"food","relations":[{"relationType":"opinion","ref":"#/documents/0/sentences/0/opinions/0"}]}],"opinions":[{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":13,"length":12,"text":"unacceptable","isNegated":false}]}],"warnings":[]},{"id":"1","sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"sentences":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"offset":0,"length":25,"text":"The
+        rooms were beautiful.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":4,"length":5,"text":"rooms","relations":[{"relationType":"opinion","ref":"#/documents/1/sentences/0/opinions/0"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":15,"length":9,"text":"beautiful","isNegated":false}]},{"sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"offset":26,"length":26,"text":"The
+        AC was good and quiet.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":30,"length":2,"text":"AC","relations":[{"relationType":"opinion","ref":"#/documents/1/sentences/1/opinions/0"},{"relationType":"opinion","ref":"#/documents/1/sentences/1/opinions/1"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":37,"length":4,"text":"good","isNegated":false},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":46,"length":5,"text":"quiet","isNegated":false}]}],"warnings":[]},{"id":"2","sentiment":"negative","confidenceScores":{"positive":0.01,"neutral":0.0,"negative":0.99},"sentences":[{"sentiment":"negative","confidenceScores":{"positive":0.01,"neutral":0.0,"negative":0.99},"offset":0,"length":50,"text":"The
+        breakfast was good, but the toilet was smelly.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":4,"length":9,"text":"breakfast","relations":[{"relationType":"opinion","ref":"#/documents/2/sentences/0/opinions/0"}]},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":32,"length":6,"text":"toilet","relations":[{"relationType":"opinion","ref":"#/documents/2/sentences/0/opinions/1"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":18,"length":4,"text":"good","isNegated":false},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":43,"length":6,"text":"smelly","isNegated":false}]}],"warnings":[]},{"id":"3","sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"sentences":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"offset":0,"length":71,"text":"Loved
+        this hotel - good breakfast - nice shuttle service - clean rooms.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":11,"length":5,"text":"hotel","relations":[{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/0"}]},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":24,"length":9,"text":"breakfast","relations":[{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/1"}]},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":41,"length":15,"text":"shuttle
+        service","relations":[{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/2"}]},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":65,"length":5,"text":"rooms","relations":[{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/0"},{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/1"},{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/3"},{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/2"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":19,"length":4,"text":"good","isNegated":false},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":36,"length":4,"text":"nice","isNegated":false},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":0,"length":5,"text":"loved","isNegated":false},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":59,"length":5,"text":"clean","isNegated":false}]}],"warnings":[]},{"id":"4","sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"sentences":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"offset":0,"length":56,"text":"I
+        had a great unobstructed view of the Microsoft campus.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":0.97,"negative":0.03},"offset":27,"length":4,"text":"view","relations":[{"relationType":"opinion","ref":"#/documents/4/sentences/0/opinions/0"},{"relationType":"opinion","ref":"#/documents/4/sentences/0/opinions/1"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":8,"length":5,"text":"great","isNegated":false},{"sentiment":"positive","confidenceScores":{"positive":0.93,"negative":0.07},"offset":14,"length":12,"text":"unobstructed","isNegated":false}]}],"warnings":[]},{"id":"5","sentiment":"negative","confidenceScores":{"positive":0.0,"neutral":0.0,"negative":1.0},"sentences":[{"sentiment":"negative","confidenceScores":{"positive":0.0,"neutral":0.0,"negative":1.0},"offset":0,"length":75,"text":"Nice
+        rooms but bathrooms were old and the toilet was dirty when we arrived.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":5,"length":5,"text":"rooms","relations":[{"relationType":"opinion","ref":"#/documents/0/sentences/0/opinions/0"}]},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":15,"length":9,"text":"bathrooms","relations":[{"relationType":"opinion","ref":"#/documents/0/sentences/0/opinions/1"}]},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":42,"length":6,"text":"toilet","relations":[{"relationType":"opinion","ref":"#/documents/0/sentences/0/opinions/2"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":0,"length":4,"text":"nice","isNegated":false},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":30,"length":3,"text":"old","isNegated":false},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":53,"length":5,"text":"dirty","isNegated":false}]}],"warnings":[]},{"id":"6","sentiment":"neutral","confidenceScores":{"positive":0.03,"neutral":0.63,"negative":0.34},"sentences":[{"sentiment":"neutral","confidenceScores":{"positive":0.03,"neutral":0.63,"negative":0.34},"offset":0,"length":19,"text":"The
+        toilet smelled.","aspects":[{"sentiment":"negative","confidenceScores":{"positive":0.01,"negative":0.99},"offset":4,"length":6,"text":"toilet","relations":[{"relationType":"opinion","ref":"#/documents/1/sentences/0/opinions/0"}]}],"opinions":[{"sentiment":"negative","confidenceScores":{"positive":0.01,"negative":0.99},"offset":11,"length":7,"text":"smelled","isNegated":false}]}],"warnings":[]}],"errors":[],"modelVersion":"2020-04-01"}'
+    headers:
+      apim-request-id:
+      - 3114573b-7cce-415e-8fb0-4a40fbb1fdf4
+      content-type:
+      - application/json; charset=utf-8
+      csp-billing-usage:
+      - CognitiveServices.TextAnalytics.BatchScoring=7
+      date:
+      - Wed, 16 Sep 2020 19:41:48 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      transfer-encoding:
+      - chunked
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '113'
+    status:
+      code: 200
+      message: OK
+version: 1

sdk/textanalytics/azure-ai-textanalytics/tests/recordings/test_analyze_sentiment_async.test_opinion_mining_more_than_5_documents.yaml

@@ -0,0 +1,48 @@
+interactions:
+- request:
+    body: '{"documents": [{"id": "0", "text": "The food was unacceptable", "language":
+      "en"}, {"id": "1", "text": "The rooms were beautiful. The AC was good and quiet.",
+      "language": "en"}, {"id": "2", "text": "The breakfast was good, but the toilet
+      was smelly.", "language": "en"}, {"id": "3", "text": "Loved this hotel - good
+      breakfast - nice shuttle service - clean rooms.", "language": "en"}, {"id":
+      "4", "text": "I had a great unobstructed view of the Microsoft campus.", "language":
+      "en"}, {"id": "5", "text": "Nice rooms but bathrooms were old and the toilet
+      was dirty when we arrived.", "language": "en"}, {"id": "6", "text": "The toilet
+      smelled.", "language": "en"}]}'
+    headers:
+      Accept:
+      - application/json, text/json
+      Content-Length:
+      - '664'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - azsdk-python-ai-textanalytics/5.1.0b1 Python/3.8.5 (macOS-10.13.6-x86_64-i386-64bit)
+    method: POST
+    uri: https://westcentralus.api.cognitive.microsoft.com/text/analytics/v3.1-preview.2/sentiment?showStats=false&opinionMining=true&stringIndexType=UnicodeCodePoint
+  response:
+    body:
+      string: '{"documents":[{"id":"0","sentiment":"negative","confidenceScores":{"positive":0.0,"neutral":0.0,"negative":1.0},"sentences":[{"sentiment":"negative","confidenceScores":{"positive":0.0,"neutral":0.0,"negative":1.0},"offset":0,"length":25,"text":"The
+        food was unacceptable","aspects":[{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":4,"length":4,"text":"food","relations":[{"relationType":"opinion","ref":"#/documents/0/sentences/0/opinions/0"}]}],"opinions":[{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":13,"length":12,"text":"unacceptable","isNegated":false}]}],"warnings":[]},{"id":"1","sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"sentences":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"offset":0,"length":25,"text":"The
+        rooms were beautiful.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":4,"length":5,"text":"rooms","relations":[{"relationType":"opinion","ref":"#/documents/1/sentences/0/opinions/0"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":15,"length":9,"text":"beautiful","isNegated":false}]},{"sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"offset":26,"length":26,"text":"The
+        AC was good and quiet.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":30,"length":2,"text":"AC","relations":[{"relationType":"opinion","ref":"#/documents/1/sentences/1/opinions/0"},{"relationType":"opinion","ref":"#/documents/1/sentences/1/opinions/1"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":37,"length":4,"text":"good","isNegated":false},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":46,"length":5,"text":"quiet","isNegated":false}]}],"warnings":[]},{"id":"2","sentiment":"negative","confidenceScores":{"positive":0.01,"neutral":0.0,"negative":0.99},"sentences":[{"sentiment":"negative","confidenceScores":{"positive":0.01,"neutral":0.0,"negative":0.99},"offset":0,"length":50,"text":"The
+        breakfast was good, but the toilet was smelly.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":4,"length":9,"text":"breakfast","relations":[{"relationType":"opinion","ref":"#/documents/2/sentences/0/opinions/0"}]},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":32,"length":6,"text":"toilet","relations":[{"relationType":"opinion","ref":"#/documents/2/sentences/0/opinions/1"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":18,"length":4,"text":"good","isNegated":false},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":43,"length":6,"text":"smelly","isNegated":false}]}],"warnings":[]},{"id":"3","sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"sentences":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"offset":0,"length":71,"text":"Loved
+        this hotel - good breakfast - nice shuttle service - clean rooms.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":11,"length":5,"text":"hotel","relations":[{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/0"}]},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":24,"length":9,"text":"breakfast","relations":[{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/1"}]},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":41,"length":15,"text":"shuttle
+        service","relations":[{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/2"}]},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":65,"length":5,"text":"rooms","relations":[{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/0"},{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/1"},{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/3"},{"relationType":"opinion","ref":"#/documents/3/sentences/0/opinions/2"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":19,"length":4,"text":"good","isNegated":false},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":36,"length":4,"text":"nice","isNegated":false},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":0,"length":5,"text":"loved","isNegated":false},{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":59,"length":5,"text":"clean","isNegated":false}]}],"warnings":[]},{"id":"4","sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"sentences":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"neutral":0.0,"negative":0.0},"offset":0,"length":56,"text":"I
+        had a great unobstructed view of the Microsoft campus.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":0.97,"negative":0.03},"offset":27,"length":4,"text":"view","relations":[{"relationType":"opinion","ref":"#/documents/4/sentences/0/opinions/0"},{"relationType":"opinion","ref":"#/documents/4/sentences/0/opinions/1"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":8,"length":5,"text":"great","isNegated":false},{"sentiment":"positive","confidenceScores":{"positive":0.93,"negative":0.07},"offset":14,"length":12,"text":"unobstructed","isNegated":false}]}],"warnings":[]},{"id":"5","sentiment":"negative","confidenceScores":{"positive":0.0,"neutral":0.0,"negative":1.0},"sentences":[{"sentiment":"negative","confidenceScores":{"positive":0.0,"neutral":0.0,"negative":1.0},"offset":0,"length":75,"text":"Nice
+        rooms but bathrooms were old and the toilet was dirty when we arrived.","aspects":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":5,"length":5,"text":"rooms","relations":[{"relationType":"opinion","ref":"#/documents/0/sentences/0/opinions/0"}]},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":15,"length":9,"text":"bathrooms","relations":[{"relationType":"opinion","ref":"#/documents/0/sentences/0/opinions/1"}]},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":42,"length":6,"text":"toilet","relations":[{"relationType":"opinion","ref":"#/documents/0/sentences/0/opinions/2"}]}],"opinions":[{"sentiment":"positive","confidenceScores":{"positive":1.0,"negative":0.0},"offset":0,"length":4,"text":"nice","isNegated":false},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":30,"length":3,"text":"old","isNegated":false},{"sentiment":"negative","confidenceScores":{"positive":0.0,"negative":1.0},"offset":53,"length":5,"text":"dirty","isNegated":false}]}],"warnings":[]},{"id":"6","sentiment":"neutral","confidenceScores":{"positive":0.03,"neutral":0.63,"negative":0.34},"sentences":[{"sentiment":"neutral","confidenceScores":{"positive":0.03,"neutral":0.63,"negative":0.34},"offset":0,"length":19,"text":"The
+        toilet smelled.","aspects":[{"sentiment":"negative","confidenceScores":{"positive":0.01,"negative":0.99},"offset":4,"length":6,"text":"toilet","relations":[{"relationType":"opinion","ref":"#/documents/1/sentences/0/opinions/0"}]}],"opinions":[{"sentiment":"negative","confidenceScores":{"positive":0.01,"negative":0.99},"offset":11,"length":7,"text":"smelled","isNegated":false}]}],"warnings":[]}],"errors":[],"modelVersion":"2020-04-01"}'
+    headers:
+      apim-request-id: b19f292b-d4b6-40ff-87c9-559a4d47d820
+      content-type: application/json; charset=utf-8
+      csp-billing-usage: CognitiveServices.TextAnalytics.BatchScoring=7
+      date: Wed, 16 Sep 2020 19:41:48 GMT
+      strict-transport-security: max-age=31536000; includeSubDomains; preload
+      transfer-encoding: chunked
+      x-content-type-options: nosniff
+      x-envoy-upstream-service-time: '113'
+    status:
+      code: 200
+      message: OK
+    url: https://westcentralus.api.cognitive.microsoft.com//text/analytics/v3.1-preview.2/sentiment?showStats=false&opinionMining=true&stringIndexType=UnicodeCodePoint
+version: 1

sdk/textanalytics/azure-ai-textanalytics/tests/test_analyze_sentiment.py

@@ -651,6 +651,41 @@ def test_opinion_mining_with_negated_opinion(self, client):
             self.assertEqual(4, food_opinion.length)
             self.assertTrue(food_opinion.is_negated)
 
+
+    @GlobalTextAnalyticsAccountPreparer()
+    @TextAnalyticsClientPreparer()
+    def test_opinion_mining_more_than_5_documents(self, client):
+        documents = [
+            "The food was unacceptable",
+            "The rooms were beautiful. The AC was good and quiet.",
+            "The breakfast was good, but the toilet was smelly.",
+            "Loved this hotel - good breakfast - nice shuttle service - clean rooms.",
+            "I had a great unobstructed view of the Microsoft campus.",
+            "Nice rooms but bathrooms were old and the toilet was dirty when we arrived.",
+            "The toilet smelled."
+        ]
+
+        analyzed_documents = client.analyze_sentiment(documents, show_opinion_mining=True)
+        doc_5 = analyzed_documents[5]
+        doc_6 = analyzed_documents[6]
+
+        doc_5_opinions = [
+            opinion.text
+            for sentence in doc_5.sentences
+            for mined_opinion in sentence.mined_opinions
+            for opinion in mined_opinion.opinions
+        ]
+
+        doc_6_opinions = [
+            opinion.text
+            for sentence in doc_6.sentences
+            for mined_opinion in sentence.mined_opinions
+            for opinion in mined_opinion.opinions
+        ]
+
+        assert doc_5_opinions == ["nice", "old", "dirty"]
+        assert doc_6_opinions == ["smelled"]
+
     @GlobalTextAnalyticsAccountPreparer()
     @TextAnalyticsClientPreparer()
     def test_opinion_mining_no_mined_opinions(self, client):

sdk/textanalytics/azure-ai-textanalytics/tests/test_analyze_sentiment_async.py

@@ -667,6 +667,40 @@ async def test_opinion_mining_with_negated_opinion(self, client):
             self.assertEqual(4, food_opinion.length)
             self.assertTrue(food_opinion.is_negated)
 
+    @GlobalTextAnalyticsAccountPreparer()
+    @TextAnalyticsClientPreparer()
+    async def test_opinion_mining_more_than_5_documents(self, client):
+        documents = [
+            "The food was unacceptable",
+            "The rooms were beautiful. The AC was good and quiet.",
+            "The breakfast was good, but the toilet was smelly.",
+            "Loved this hotel - good breakfast - nice shuttle service - clean rooms.",
+            "I had a great unobstructed view of the Microsoft campus.",
+            "Nice rooms but bathrooms were old and the toilet was dirty when we arrived.",
+            "The toilet smelled."
+        ]
+
+        analyzed_documents = await client.analyze_sentiment(documents, show_opinion_mining=True)
+        doc_5 = analyzed_documents[5]
+        doc_6 = analyzed_documents[6]
+
+        doc_5_opinions = [
+            opinion.text
+            for sentence in doc_5.sentences
+            for mined_opinion in sentence.mined_opinions
+            for opinion in mined_opinion.opinions
+        ]
+
+        doc_6_opinions = [
+            opinion.text
+            for sentence in doc_6.sentences
+            for mined_opinion in sentence.mined_opinions
+            for opinion in mined_opinion.opinions
+        ]
+
+        assert doc_5_opinions == ["nice", "old", "dirty"]
+        assert doc_6_opinions == ["smelled"]
+
     @GlobalTextAnalyticsAccountPreparer()
     @TextAnalyticsClientPreparer()
     async def test_opinion_mining_no_mined_opinions(self, client):