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feat(AssistantV2): New service AssistantV2
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examples/assistant_v2.py

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from __future__ import print_function
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import json
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from watson_developer_cloud import AssistantV2
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# If service instance provides API key authentication
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# assistant = AssistantV2(
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# version='2017-04-21',
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# ## url is optional, and defaults to the URL below. Use the correct URL for your region.
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# url='https://gateway.watsonplatform.net/assistant/api',
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# iam_apikey='iam_apikey')
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assistant = AssistantV2(
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username='YOUR SERVICE USERNAME',
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password='YOUR SERVICE PASSWORD',
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## url is optional, and defaults to the URL below. Use the correct URL for your region.
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url='https://gateway.watsonplatform.net/assistant/api',
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version='2017-04-21')
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#########################
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# Sessions
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#########################
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session = assistant.create_session("<YOUR ASSISTANT ID>").get_result()
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print(json.dumps(session, indent=2))
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assistant.delete_session("<YOUR ASSISTANT ID>", "<YOUR SESSION ID>").get_result()
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#########################
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# Message
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#########################
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message = assistant.message(
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"<YOUR ASSISTANT ID>",
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"<YOUR SESSION ID>",
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input={'text': 'What\'s the weather like?'},
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context={
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'metadata': {
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'deployment': 'myDeployment'
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}
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}).get_result()
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print(json.dumps(message, indent=2))

test/integration/test_discovery_v1.py

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return_fields='extracted_metadata.sha1').get_result()
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assert query_results is not None
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@pytest.mark.skip(reason="Temporary skipping because update_credentials fails")
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def test_credentials(self):
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credential_details = {
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'credential_type': 'username_password',

test/unit/test_assistant_v2.py

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# coding: utf-8
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import json
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import responses
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import watson_developer_cloud
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platform_url = 'https://gateway.watsonplatform.net'
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service_path = '/assistant/api'
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base_url = '{0}{1}'.format(platform_url, service_path)
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@responses.activate
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def test_create_session():
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endpoint = '/v2/assistants/{0}/sessions'.format('bogus_id')
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url = '{0}{1}'.format(base_url, endpoint)
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response = {'session_id': 'session_id'}
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responses.add(
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responses.POST,
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url,
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body=json.dumps(response),
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status=200,
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content_type='application/json')
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service = watson_developer_cloud.AssistantV2(
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username='username', password='password', version='2017-02-03')
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session = service.create_session('bogus_id').get_result()
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assert len(responses.calls) == 1
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assert responses.calls[0].request.url.startswith(url)
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assert session == response
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@responses.activate
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def test_delete_session():
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endpoint = '/v2/assistants/{0}/sessions/{1}'.format('bogus_id',
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'session_id')
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url = '{0}{1}'.format(base_url, endpoint)
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response = {}
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responses.add(
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responses.DELETE,
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url,
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body=json.dumps(response),
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status=200,
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content_type='application/json')
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service = watson_developer_cloud.AssistantV2(
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username='username', password='password', version='2017-02-03')
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delete_session = service.delete_session('bogus_id',
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'session_id').get_result()
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assert len(responses.calls) == 1
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assert responses.calls[0].request.url.startswith(url)
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assert delete_session == response
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@responses.activate
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def test_message():
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endpoint = '/v2/assistants/{0}/sessions/{1}/message'.format(
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'bogus_id', 'session_id')
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url = '{0}{1}'.format(base_url, endpoint)
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response = {
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'output': {
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'generic': [{
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'text':
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'I did not understand that. I can help you get pizza, tell a joke or find a movie.',
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'response_type':
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'text'
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}],
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'entities': [],
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'intents': [{
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'confidence': 0.8521236419677736,
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'intent': 'Weather'
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}]
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}
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}
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responses.add(
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responses.POST,
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url,
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body=json.dumps(response),
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status=200,
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content_type='application/json')
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service = watson_developer_cloud.AssistantV2(
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username='username', password='password', version='2017-02-03')
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message = service.message(
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'bogus_id', 'session_id', input={
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'text': 'What\'s the weather like?'
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}).get_result()
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assert len(responses.calls) == 1
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assert responses.calls[0].request.url.startswith(url)
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assert message == response

watson_developer_cloud/__init__.py

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from .iam_token_manager import IAMTokenManager
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from .conversation_v1 import ConversationV1
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from .assistant_v1 import AssistantV1
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from .assistant_v2 import AssistantV2
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from .language_translator_v3 import LanguageTranslatorV3
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from .natural_language_classifier_v1 import NaturalLanguageClassifierV1
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from .natural_language_understanding_v1 import NaturalLanguageUnderstandingV1

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