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[text analytics] Fixed a few minor issues in a sample and the README #17192

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Mar 9, 2021
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[text analytics] Fixed a few minor issues in a sample and the README #17192

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27 changes: 26 additions & 1 deletion sdk/textanalytics/azure-ai-textanalytics/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -503,7 +503,11 @@ Note: The Healthcare Entities Analysis service is currently available only in th
```python
from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics import (
TextAnalyticsClient, RecognizeEntitiesAction, RecognizePiiEntitiesAction, ExtractKeyPhrasesAction
TextAnalyticsClient,
RecognizeEntitiesAction,
RecognizePiiEntitiesAction,
ExtractKeyPhrasesAction,
RecognizeLinkedEntitiesAction
)

credential = AzureKeyCredential("<api_key>")
Expand All @@ -520,6 +524,7 @@ poller = text_analytics_client.begin_analyze_batch_actions(
RecognizeEntitiesAction(),
RecognizePiiEntitiesAction(),
ExtractKeyPhrasesAction(),
RecognizeLinkedEntitiesAction()
]
)

Expand Down Expand Up @@ -559,6 +564,26 @@ for idx, doc in enumerate(docs):
print("Document text: {}\n".format(documents[idx]))
print("Key Phrases: {}\n".format(doc.key_phrases))
print("------------------------------------------")

fourth_action_result = next(result)
print("Results of Linked Entities Recognition action:")
docs = [doc for doc in fourth_action_result.document_results if not doc.is_error]

for idx, doc in enumerate(docs):
print("Document text: {}\n".format(documents[idx]))
for linked_entity in doc.entities:
print("Entity name: {}".format(linked_entity.name))
print("...Data source: {}".format(linked_entity.data_source))
print("...Data source language: {}".format(linked_entity.language))
print("...Data source entity ID: {}".format(linked_entity.data_source_entity_id))
print("...Data source URL: {}".format(linked_entity.url))
print("...Document matches:")
for match in linked_entity.matches:
print("......Match text: {}".format(match.text))
print(".........Confidence Score: {}".format(match.confidence_score))
print(".........Offset: {}".format(match.offset))
print(".........Length: {}".format(match.length))
print("------------------------------------------")
```

The returned response is an object encapsulating multiple iterables, each representing results of individual analyses.
Expand Down
8 changes: 3 additions & 5 deletions sdk/textanalytics/azure-ai-textanalytics/samples/sample_analyze_healthcare_entities.py
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Original file line number Diff line number Diff line change
Expand Up @@ -116,8 +116,8 @@ def analyze_healthcare_entities(self):
for relation in dosage_of_medication_relations:
# The DosageOfMedication relation should only contain the dosage and medication roles

dosage_role = next(filter(lambda x: x.name == HealthcareEntityRelationRoleType.DOSAGE, relation.roles))
medication_role = next(filter(lambda x: x.name == HealthcareEntityRelationRoleType.MEDICATION, relation.roles))
dosage_role = next(iter(filter(lambda x: x.name == HealthcareEntityRelationRoleType.DOSAGE, relation.roles)))

@abhahn abhahn Mar 9, 2021

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next(filter(...)) seems to not work in Python 2. I can revert this if Python 2 support isn't that important, but this works for both Python2/3.

@iscai-msft iscai-msft Mar 9, 2021

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that's fair, python 2.7 is making me sad again :'(. Thanks @abhahn !

medication_role = next(iter(filter(lambda x: x.name == HealthcareEntityRelationRoleType.MEDICATION, relation.roles)))

try:
dosage_value = int(re.findall(r"\d+", dosage_role.entity.text)[0]) # we find the numbers in the dosage
Expand All @@ -126,12 +126,10 @@ def analyze_healthcare_entities(self):
# Error handling for if there's no dosage in numbers.
pass

[
for medication, dosage in medication_to_dosage.items():
print("We have fulfilled '{}' total mg of '{}'".format(
dosage, medication
))
for medication, dosage in medication_to_dosage.items()
]


if __name__ == "__main__":
Expand Down