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#!/usr/bin/env python3
# Copyright 2017 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""DialogFlow API Detect Intent Python sample with text inputs.
Examples:
python detect_intent_texts.py -h
python detect_intent_texts.py --project-id PROJECT_ID \
--session-id SESSION_ID \
"hello" "book a meeting room" "Mountain View"
python detect_intent_texts.py --project-id PROJECT_ID \
--session-id SESSION_ID \
"tomorrow" "10 AM" "2 hours" "10 people" "A" "yes"
"""
# [START import_libraries]
import argparse
import uuid
import os
import json
import aiy.i18n
import dialogflow
# [END import_libraries]
credentials_file = os.path.expanduser('~/cloud_speech.json')
_detect_intent_texts = None
class _Detect_Intent_Texts(object):
def __init__(self, credentials_file):
self.language_code = aiy.i18n.get_language_code()
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credentials_file
self.project_id = format(json.load(open(credentials_file))['project_id'])
# [START dialogflow_detect_intent_text]
def recognize(self, session_id, texts):
"""Returns the result of detect intent with texts as inputs.
Using the same `session_id` between requests allows continuation
of the conversaion."""
session_client = dialogflow.SessionsClient()
session = session_client.session_path(self.project_id, session_id)
print('Session path: {}\n'.format(session))
text_input = dialogflow.types.TextInput(
text=texts, language_code=self.language_code)
query_input = dialogflow.types.QueryInput(text=text_input)
response = session_client.detect_intent(
session=session, query_input=query_input)
print('=' * 20)
print('Query text: {}'.format(response.query_result.query_text))
print('Detected intent: {} (confidence: {})\n'.format(
response.query_result.intent.display_name,
response.query_result.intent_detection_confidence))
print('Fulfillment text: {}\n'.format(
response.query_result.fulfillment_text))
return response.query_result
# [END dialogflow_detect_intent_text]
def get_recognizer():
global _detect_intent_texts
if not _detect_intent_texts:
_detect_intent_texts = _Detect_Intent_Texts(credentials_file)
return _detect_intent_texts
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument(
'--project-id',
help='Project/agent id. Required.',
required=True)
parser.add_argument(
'--session-id',
help='Identifier of the DetectIntent session. '
'Defaults to a random UUID.',
default=str(uuid.uuid4()))
parser.add_argument(
'--language-code',
help='Language code of the query. Defaults to "en-US".',
default='en-US')
parser.add_argument(
'texts',
nargs='+',
type=str,
help='Text inputs.')
args = parser.parse_args()
detect_intent_texts(
args.project_id, args.session_id, args.texts, args.language_code)