1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
|
# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""
FILE: sample_analyze_healthcare_async.py
DESCRIPTION:
This sample demonstrates how to detect healthcare entities in a batch of documents.
Each entity found in the document will have a link associated with it from a
data source. Relations between entities will also be included in the response.
USAGE:
python sample_analyze_healthcare_async.py
Set the environment variables with your own values before running the sample:
1) AZURE_TEXT_ANALYTICS_ENDPOINT - the endpoint to your Cognitive Services resource.
2) AZURE_TEXT_ANALYTICS_KEY - your Text Analytics subscription key
"""
import os
import asyncio
class AnalyzeHealthcareSampleAsync(object):
async def analyze_healthcare_async(self):
# [START analyze_healthcare_async]
from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics.aio import TextAnalyticsClient
endpoint = os.environ["AZURE_TEXT_ANALYTICS_ENDPOINT"]
key = os.environ["AZURE_TEXT_ANALYTICS_KEY"]
text_analytics_client = TextAnalyticsClient(
endpoint=endpoint,
credential=AzureKeyCredential(key),
api_version="v3.1-preview.3")
documents = [
"Subject is taking 100mg of ibuprofen twice daily"
]
async with text_analytics_client:
poller = await text_analytics_client.begin_analyze_healthcare(documents)
result = await poller.result()
docs = [doc async for doc in result if not doc.is_error]
print("Results of Healthcare Analysis:")
for idx, doc in enumerate(docs):
print("Document text: {}\n".format(documents[idx]))
for entity in doc.entities:
print("Entity: {}".format(entity.text))
print("...Category: {}".format(entity.category))
print("...Subcategory: {}".format(entity.subcategory))
print("...Offset: {}".format(entity.offset))
print("...Confidence score: {}".format(entity.confidence_score))
if entity.links is not None:
print("...Links:")
for link in entity.links:
print("......ID: {}".format(link.id))
print("......Data source: {}".format(link.data_source))
for relation in doc.relations:
print("Relation:")
print("...Source: {}".format(relation.source.text))
print("...Target: {}".format(relation.target.text))
print("...Type: {}".format(relation.relation_type))
print("...Bidirectional: {}".format(relation.is_bidirectional))
print("------------------------------------------")
# [END analyze_healthcare_async]
async def main():
sample = AnalyzeHealthcareSampleAsync()
await sample.analyze_healthcare_async()
if __name__ == '__main__':
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
|
