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docs(samples): add Agent Assist code samples (#267)
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#!/usr/bin/env python | ||
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# Copyright 2021 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 Python sample showing how to manage AnswerRecord. | ||
""" | ||
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from google.cloud import dialogflow_v2beta1 as dialogflow | ||
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# [START dialogflow_update_answer_record] | ||
def update_answer_record(project_id, answer_record_id, is_clicked): | ||
"""Update the answer record. | ||
Args: | ||
project_id: The GCP project linked with the conversation profile. | ||
answer_record_id: The answer record id returned along with the | ||
suggestion. | ||
is_clicked: whether the answer record is clicked.""" | ||
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client = dialogflow.AnswerRecordsClient() | ||
answer_record_path = client.answer_record_path(project_id, | ||
answer_record_id) | ||
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response = client.update_answer_record( | ||
answer_record={ | ||
'name': answer_record_path, | ||
'answer_feedback': { | ||
'clicked': is_clicked | ||
} | ||
}, | ||
update_mask={'paths': ['answer_feedback']}) | ||
print('AnswerRecord Name: {}'.format(response.name)) | ||
print('Clicked: {}'.format(response.answer_feedback.clicked)) | ||
return response | ||
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# [END dialogflow_update_answer_record] |
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# Copyright 2021 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. | ||
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import os | ||
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import answer_record_management | ||
import conversation_management | ||
import conversation_profile_management | ||
import participant_management | ||
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PROJECT_ID = os.getenv('GOOGLE_CLOUD_PROJECT') | ||
SMART_REPLY_MODEL = os.getenv('SMART_REPLY_MODEL') | ||
SMART_REPLY_ALLOWLIST = os.getenv('SMART_REPLY_ALLOWLIST') | ||
CONVERSATION_PROFILE_DISPLAY_NAME = 'sample code profile for smart reply' | ||
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def test_smart_reply(capsys): | ||
"""Test smart reply feature. | ||
""" | ||
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# Create conversation profile. | ||
conversation_profile_management.create_conversation_profile_smart_reply( | ||
project_id=PROJECT_ID, | ||
display_name=CONVERSATION_PROFILE_DISPLAY_NAME, | ||
smart_reply_allowlist_name=SMART_REPLY_ALLOWLIST, | ||
smart_reply_model_name=SMART_REPLY_MODEL) | ||
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out, _ = capsys.readouterr() | ||
assert 'Display Name: {}'.format(CONVERSATION_PROFILE_DISPLAY_NAME) in out | ||
conversation_profile_id = out.split('conversationProfiles/')[1].rstrip() | ||
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# Create conversation. | ||
conversation_management.create_conversation( | ||
project_id=PROJECT_ID, conversation_profile_id=conversation_profile_id) | ||
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out, _ = capsys.readouterr() | ||
conversation_id = out.split('conversations/')[1].rstrip() | ||
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# Create end user participant. | ||
participant_management.create_participant(project_id=PROJECT_ID, | ||
conversation_id=conversation_id, | ||
role='END_USER') | ||
out, _ = capsys.readouterr() | ||
end_user_id = out.split('participants/')[1].rstrip() | ||
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# Create human agent participant. | ||
participant_management.create_participant(project_id=PROJECT_ID, | ||
conversation_id=conversation_id, | ||
role='HUMAN_AGENT') | ||
out, _ = capsys.readouterr() | ||
human_agent_id = out.split('participants/')[1].rstrip() | ||
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# AnalyzeContent | ||
participant_management.analyze_content_text( | ||
project_id=PROJECT_ID, | ||
conversation_id=conversation_id, | ||
participant_id=human_agent_id, | ||
text='Hi, how are you?') | ||
out, _ = capsys.readouterr() | ||
assert 'What would you like to know?' in out | ||
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response = participant_management.analyze_content_text( | ||
project_id=PROJECT_ID, | ||
conversation_id=conversation_id, | ||
participant_id=end_user_id, | ||
text='I am doing well, just want to check') | ||
out, _ = capsys.readouterr() | ||
assert 'Sounds good.' in out | ||
# Update AnswerRecord. | ||
answer_record_id = response.human_agent_suggestion_results[ | ||
0].suggest_smart_replies_response.smart_reply_answers[ | ||
0].answer_record.split('answerRecords/')[1].rstrip() | ||
answer_record_management.update_answer_record( | ||
project_id=PROJECT_ID, | ||
answer_record_id=answer_record_id, | ||
is_clicked=True) | ||
out, _ = capsys.readouterr() | ||
assert 'Clicked: True' in out | ||
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# Complete conversation. | ||
conversation_management.complete_conversation( | ||
project_id=PROJECT_ID, conversation_id=conversation_id) | ||
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# Delete conversation profile. | ||
conversation_profile_management.delete_conversation_profile( | ||
project_id=PROJECT_ID, conversation_profile_id=conversation_profile_id) |
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#!/usr/bin/env python | ||
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# Copyright 2021 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 Python sample showing how to manage Conversations. | ||
""" | ||
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from google.cloud import dialogflow_v2beta1 as dialogflow | ||
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# [START dialogflow_create_conversation] | ||
def create_conversation(project_id, conversation_profile_id): | ||
"""Creates a conversation with given values | ||
Args: | ||
project_id: The GCP project linked with the conversation. | ||
conversation_profile_id: The conversation profile id used to create | ||
conversation.""" | ||
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client = dialogflow.ConversationsClient() | ||
conversation_profile_client = dialogflow.ConversationProfilesClient() | ||
project_path = client.common_project_path(project_id) | ||
conversation_profile_path = ( | ||
conversation_profile_client.conversation_profile_path( | ||
project_id, conversation_profile_id)) | ||
conversation = {'conversation_profile': conversation_profile_path} | ||
response = client.create_conversation(parent=project_path, | ||
conversation=conversation) | ||
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print('Life Cycle State: {}'.format(response.lifecycle_state)) | ||
print('Conversation Profile Name: {}'.format( | ||
response.conversation_profile)) | ||
print('Name: {}'.format(response.name)) | ||
return response | ||
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# [END dialogflow_create_conversation] | ||
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# [START dialogflow_get_conversation] | ||
def get_conversation(project_id, conversation_id): | ||
"""Gets a specific conversation profile. | ||
Args: | ||
project_id: The GCP project linked with the conversation. | ||
conversation_id: Id of the conversation.""" | ||
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client = dialogflow.ConversationsClient() | ||
conversation_path = client.conversation_path(project_id, conversation_id) | ||
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response = client.get_conversation(name=conversation_path) | ||
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print('Life Cycle State: {}'.format(response.lifecycle_state)) | ||
print('Conversation Profile Name: {}'.format( | ||
response.conversation_profile)) | ||
print('Name: {}'.format(response.name)) | ||
return response | ||
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# [END dialogflow_get_conversation] | ||
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# [START dialogflow_complete_conversation] | ||
def complete_conversation(project_id, conversation_id): | ||
"""Completes the specified conversation. Finished conversations are purged from the database after 30 days. | ||
Args: | ||
project_id: The GCP project linked with the conversation. | ||
conversation_id: Id of the conversation.""" | ||
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client = dialogflow.ConversationsClient() | ||
conversation_path = client.conversation_path(project_id, conversation_id) | ||
conversation = client.complete_conversation(name=conversation_path) | ||
print('Completed Conversation.') | ||
print('Life Cycle State: {}'.format(conversation.lifecycle_state)) | ||
print('Conversation Profile Name: {}'.format( | ||
conversation.conversation_profile)) | ||
print('Name: {}'.format(conversation.name)) | ||
return conversation | ||
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# [END dialogflow_complete_conversation] |
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