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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_analyze_healthcare_entities.py
DESCRIPTION:
This sample demonstrates how to run a **healthcare** action over text.
USAGE:
python sample_analyze_healthcare_entities.py
REQUIRED ENV VARS (for AAD / DefaultAzureCredential):
AZURE_TEXT_ENDPOINT
AZURE_CLIENT_ID
AZURE_TENANT_ID
AZURE_CLIENT_SECRET
NOTE:
If you want to use AzureKeyCredential instead, set:
- AZURE_TEXT_ENDPOINT
- AZURE_TEXT_KEY
"""
# [START analyze_healthcare_entities]
import os
from azure.identity import DefaultAzureCredential
from azure.ai.textanalytics import TextAnalysisClient
from azure.ai.textanalytics.models import (
MultiLanguageTextInput,
MultiLanguageInput,
AnalyzeTextOperationAction,
HealthcareLROTask,
HealthcareLROResult,
)
def sample_analyze_healthcare_entities():
# get settings
endpoint = os.environ["AZURE_TEXT_ENDPOINT"]
credential = DefaultAzureCredential()
client = TextAnalysisClient(endpoint, credential=credential)
# Build input
text_a = "Prescribed 100mg ibuprofen, taken twice daily."
text_input = MultiLanguageTextInput(
multi_language_inputs=[
MultiLanguageInput(id="A", text=text_a, language="en"),
]
)
actions: list[AnalyzeTextOperationAction] = [
HealthcareLROTask(
name="Healthcare Operation",
),
]
# Start long-running operation (sync) – poller returns ItemPaged[TextActions]
poller = client.begin_analyze_text_job(
text_input=text_input,
actions=actions,
)
# Operation metadata (pre-final)
print(f"Operation ID: {poller.details.get('operation_id')}")
# Wait for completion and get pageable of TextActions
paged_actions = poller.result()
# Final-state metadata
d = poller.details
print(f"Job ID: {d.get('job_id')}")
print(f"Status: {d.get('status')}")
print(f"Created: {d.get('created_date_time')}")
print(f"Last Updated: {d.get('last_updated_date_time')}")
if d.get("expiration_date_time"):
print(f"Expires: {d.get('expiration_date_time')}")
if d.get("display_name"):
print(f"Display Name: {d.get('display_name')}")
# Iterate results (sync pageable)
for actions_page in paged_actions:
print(
f"Completed: {actions_page.completed}, "
f"In Progress: {actions_page.in_progress}, "
f"Failed: {actions_page.failed}, "
f"Total: {actions_page.total}"
)
for op_result in actions_page.items_property or []:
if isinstance(op_result, HealthcareLROResult):
print(f"\nAction Name: {op_result.task_name}")
print(f"Action Status: {op_result.status}")
print(f"Kind: {op_result.kind}")
hc_result = op_result.results
for doc in (hc_result.documents or []):
print(f"\nDocument ID: {doc.id}")
# Entities
print("Entities:")
for entity in (doc.entities or []):
print(f" Text: {entity.text}")
print(f" Category: {entity.category}")
print(f" Offset: {entity.offset}")
print(f" Length: {entity.length}")
print(f" Confidence score: {entity.confidence_score}")
if entity.links:
for link in entity.links:
print(f" Link ID: {link.id}")
print(f" Data source: {link.data_source}")
print()
# Relations
print("Relations:")
for relation in (doc.relations or []):
print(f" Relation type: {relation.relation_type}")
for rel_entity in (relation.entities or []):
print(f" Role: {rel_entity.role}")
print(f" Ref: {rel_entity.ref}")
print()
else:
# Other action kinds, if present
try:
print(
f"\n[Non-healthcare action] name={op_result.task_name}, "
f"status={op_result.status}, kind={op_result.kind}"
)
except Exception:
print("\n[Non-healthcare action present]")
# [END analyze_healthcare_entities]
def main():
sample_analyze_healthcare_entities()
if __name__ == "__main__":
main()
|
