def test_rotate_subscription_key(self, resource_group, location,
text_analytics_account,
text_analytics_account_key):
credential = AzureKeyCredential(text_analytics_account_key)
client = TextAnalyticsClient(text_analytics_account, credential)
docs = [{
"id": "1",
"text": "I will go to the park."
}, {
"id": "2",
"text": "I did not like the hotel we stayed at."
}, {
"id": "3",
"text": "The restaurant had really good food."
}]
response = client.begin_analyze(
docs,
entities_recognition_tasks=[EntitiesRecognitionTask()],
key_phrase_extraction_tasks=[KeyPhraseExtractionTask()],
pii_entities_recognition_tasks=[PiiEntitiesRecognitionTask()],
polling_interval=self._interval(),
).result()
self.assertIsNotNone(response)
credential.update("xxx") # Make authentication fail
with self.assertRaises(ClientAuthenticationError):
response = client.begin_analyze(
docs,
entities_recognition_tasks=[EntitiesRecognitionTask()],
key_phrase_extraction_tasks=[KeyPhraseExtractionTask()],
pii_entities_recognition_tasks=[PiiEntitiesRecognitionTask()],
polling_interval=self._interval(),
).result()
credential.update(
text_analytics_account_key) # Authenticate successfully again
response = client.begin_analyze(
docs,
entities_recognition_tasks=[EntitiesRecognitionTask()],
key_phrase_extraction_tasks=[KeyPhraseExtractionTask()],
pii_entities_recognition_tasks=[PiiEntitiesRecognitionTask()],
polling_interval=self._interval(),
).result()
self.assertIsNotNone(response)
def analyze(self):
# [START analyze]
from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics import TextAnalyticsClient, \
EntitiesRecognitionTask, \
PiiEntitiesRecognitionTask, \
KeyPhraseExtractionTask
endpoint = os.environ["AZURE_TEXT_ANALYTICS_ENDPOINT"]
key = os.environ["AZURE_TEXT_ANALYTICS_KEY"]
text_analytics_client = TextAnalyticsClient(
endpoint=endpoint,
credential=AzureKeyCredential(key),
)
documents = [
"We went to Contoso Steakhouse located at midtown NYC last week for a dinner party, and we adore the spot! \
They provide marvelous food and they have a great menu. The chief cook happens to be the owner (I think his name is John Doe) \
and he is super nice, coming out of the kitchen and greeted us all. We enjoyed very much dining in the place! \
The Sirloin steak I ordered was tender and juicy, and the place was impeccably clean. You can even pre-order from their \
online menu at www.contososteakhouse.com, call 312-555-0176 or send email to [email protected]! \
The only complaint I have is the food didn't come fast enough. Overall I highly recommend it!"
]
poller = text_analytics_client.begin_analyze(
documents,
display_name="Sample Text Analysis",
entities_recognition_tasks=[EntitiesRecognitionTask()],
pii_entities_recognition_tasks=[PiiEntitiesRecognitionTask()],
key_phrase_extraction_tasks=[KeyPhraseExtractionTask()])
result = poller.result()
for page in result:
for task in page.entities_recognition_results:
print("Results of Entities Recognition task:")
docs = [doc for doc in task.results if not doc.is_error]
for idx, doc in enumerate(docs):
print("\nDocument text: {}".format(documents[idx]))
for entity in doc.entities:
print("Entity: {}".format(entity.text))
print("...Category: {}".format(entity.category))
print("...Confidence Score: {}".format(
entity.confidence_score))
print("...Offset: {}".format(entity.offset))
print("------------------------------------------")
for task in page.pii_entities_recognition_results:
print("Results of PII Entities Recognition task:")
docs = [doc for doc in task.results if not doc.is_error]
for idx, doc in enumerate(docs):
print("Document text: {}".format(documents[idx]))
for entity in doc.entities:
print("Entity: {}".format(entity.text))
print("Category: {}".format(entity.category))
print("Confidence Score: {}\n".format(
entity.confidence_score))
print("------------------------------------------")
for task in page.key_phrase_extraction_results:
print("Results of Key Phrase Extraction task:")
docs = [doc for doc in task.results if not doc.is_error]
for idx, doc in enumerate(docs):
print("Document text: {}\n".format(documents[idx]))
print("Key Phrases: {}\n".format(doc.key_phrases))
print("------------------------------------------")
