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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_query_knowledgebase.py
DESCRIPTION:
Ask a question against a deployed knowledge base (flattened parameter style).
USAGE:
python sample_query_knowledgebase.py
Environment variables:
1) AZURE_QUESTIONANSWERING_ENDPOINT - endpoint for the resource
2) AZURE_QUESTIONANSWERING_KEY - API key
3) AZURE_QUESTIONANSWERING_PROJECT - knowledge base project name
4) AZURE_QUESTIONANSWERING_DEPLOYMENT - (optional) deployment name (defaults to 'production')
"""
def sample_query_knowledgebase():
# [START query_knowledgebase]
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.language.questionanswering import QuestionAnsweringClient
from azure.ai.language.questionanswering.models import AnswersOptions, ShortAnswerOptions
endpoint = os.environ["AZURE_QUESTIONANSWERING_ENDPOINT"]
key = os.environ["AZURE_QUESTIONANSWERING_KEY"]
project = os.environ["AZURE_QUESTIONANSWERING_PROJECT"]
deployment = os.environ.get("AZURE_QUESTIONANSWERING_DEPLOYMENT", "production")
client = QuestionAnsweringClient(endpoint, AzureKeyCredential(key))
with client:
question = "How long should my Surface battery last?"
options = AnswersOptions(
question=question,
top=3,
confidence_threshold=0.2,
include_unstructured_sources=True,
short_answer_options=ShortAnswerOptions(enable=True, confidence_threshold=0.2, top=1),
)
output = client.get_answers(
options,
project_name=project,
deployment_name=deployment,
)
best_candidate = next(
(a for a in (output.answers or []) if a.confidence and a.confidence > 0.7),
None,
)
if best_candidate:
print(f"Q: {question}")
print(f"A: {best_candidate.answer}")
else:
print(f"No answers for '{question}'")
# [END query_knowledgebase]
if __name__ == "__main__":
sample_query_knowledgebase()
|
