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docs: add detect intent with sentiment analysis snippet (#416)
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#!/usr/bin/env python | ||
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# Copyright 2022 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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"""DialogFlow Detect Intent Python sample, text input and sentiment analysis.""" | ||
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# [START dialogflow_cx_v3_detect_intent_sentiment_analysis_async] | ||
import uuid | ||
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from google.cloud.dialogflowcx_v3beta1.services.sessions import SessionsClient | ||
from google.cloud.dialogflowcx_v3beta1.types import session | ||
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def run_sample(): | ||
# TODO(developer): Update these values when running the function | ||
project_id = "YOUR-PROJECT-ID" | ||
location = "YOUR-LOCATION-ID" | ||
agent_id = "YOUR-AGENT-ID" | ||
text = "Perfect!" | ||
language_code = "en-us" | ||
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detect_intent_with_sentiment_analysis( | ||
project_id, | ||
location, | ||
agent_id, | ||
text, | ||
language_code, | ||
) | ||
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def detect_intent_with_sentiment_analysis( | ||
project_id, | ||
location, | ||
agent_id, | ||
text, | ||
language_code, | ||
): | ||
"""Returns the result of detect intent with sentiment analysis""" | ||
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client_options = None | ||
if location != "global": | ||
api_endpoint = f"{location}-dialogflow.googleapis.com:443" | ||
print(f"API Endpoint: {api_endpoint}\n") | ||
client_options = {"api_endpoint": api_endpoint} | ||
session_client = SessionsClient(client_options=client_options) | ||
session_id = str(uuid.uuid4()) | ||
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session_path = session_client.session_path( | ||
project=project_id, | ||
location=location, | ||
agent=agent_id, | ||
session=session_id, | ||
) | ||
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text_input = session.TextInput(text=text) | ||
query_input = session.QueryInput( | ||
text=text_input, | ||
language_code=language_code | ||
) | ||
query_params = session.QueryParameters( | ||
analyze_query_text_sentiment=True, | ||
) | ||
request = session.DetectIntentRequest( | ||
session=session_path, | ||
query_input=query_input, | ||
query_params=query_params, | ||
) | ||
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response = session_client.detect_intent(request=request) | ||
score = response.query_result.sentiment_analysis_result.score | ||
print('Sentiment Score: {score}') | ||
return score | ||
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# [END dialogflow_cx_v3_detect_intent_sentiment_analysis_async] | ||
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if __name__ == "__main__": | ||
run_sample() |
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Dialogflow-CX/detect_intent_with_sentiment_analysis_test.py
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# Copyright 2022, 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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"""Tests for detect_intent_with_sentiment_analysis.py""" | ||
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from __future__ import absolute_import | ||
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import os | ||
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import pytest | ||
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from detect_intent_with_sentiment_analysis import detect_intent_with_sentiment_analysis | ||
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PROJECT_ID = os.getenv("GOOGLE_CLOUD_PROJECT") | ||
AGENT_ID = os.getenv("AGENT_ID") | ||
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@pytest.mark.parametrize( | ||
"text, expected_score_min, expected_score_max", | ||
(['Perfect', .5, 1], ['I am not happy', -1, -.5]) | ||
) | ||
def test_detect_intent_positive(text, expected_score_min, expected_score_max): | ||
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score = detect_intent_with_sentiment_analysis( | ||
PROJECT_ID, | ||
'global', | ||
AGENT_ID, | ||
text, | ||
"en-us", | ||
) | ||
assert expected_score_min < score < expected_score_max |