kpt-grpc-demo/google/cloud/language/v1/samples/test/analyzing_sentiment.test.yaml

type: test/samples
schema_version: 1
test:
  suites:
  - name: "Analyzing Sentiment [code sample tests]"
    cases:

    - name: language_sentiment_text - Analyzing the sentiment of a text string (default value)
      spec:
      # Default value: "I am so happy and joyful."
      - call: {sample: language_sentiment_text}
      - assert_contains:
        - {literal: "Document sentiment score: 0."}
        - {literal: "Document sentiment magnitude: 0."}
        - {literal: "Sentence text: I am so happy and joyful."}
        - {literal: "Sentence sentiment score: 0."}
        - {literal: "Sentence sentiment magnitude: 0."}
        - {literal: "Language of the text: en"}
      # There should be no negative sentiment scores for this value.
      - assert_not_contains:
        - {literal: "Document sentiment score: -0."}
        - {literal: "Sentence sentiment score: -0."}

    - name: language_sentiment_text - Analyzing the sentiment of a text string (*custom value*)
      spec:
      # Custom value: "I am very happy. I am angry and sad."
      - call:
          sample: language_sentiment_text
          params:
            text_content: {literal: "I am very happy. I am angry and sad."}
      - assert_contains:
        - {literal: "Sentence text: I am very happy"}
        - {literal: "Sentence sentiment score: 0."}
        - {literal: "Sentence text: I am angry and sad"}
        - {literal: "Sentence sentiment score: -0."}
        - {literal: "Language of the text: en"}

    - name: language_sentiment_gcs - Analyzing the sentiment of text file in GCS (default value)
      spec:
      # Default value: gs://cloud-samples-data/language/sentiment-positive.txt
      # => "I am so happy and joyful."
      - call: {sample: language_sentiment_gcs}
      - assert_contains:
        - {literal: "Document sentiment score: 0."}
        - {literal: "Document sentiment magnitude: 0."}
        - {literal: "Sentence text: I am so happy and joyful."}
        - {literal: "Sentence sentiment score: 0."}
        - {literal: "Sentence sentiment magnitude: 0."}
        - {literal: "Language of the text: en"}
      # There should be no negative sentiment scores for this value.
      - assert_not_contains:
        - {literal: "Document sentiment score: -0."}
        - {literal: "Sentence sentiment score: -0."}

    - name: language_sentiment_gcs - Analyzing the sentiment of text file in GCS (*custom value*)
      spec:
      # Use different file: gs://cloud-samples-data/language/sentiment-negative.txt
      # => "I am so sad and upset."
      - call:
          sample: language_sentiment_gcs
          params:
            gcs_content_uri:
              literal: "gs://cloud-samples-data/language/sentiment-negative.txt"
      - assert_contains:
        - {literal: "Document sentiment score: -0."}
        - {literal: "Document sentiment magnitude: 0."}
        - {literal: "Sentence text: I am so sad and upset."}
        - {literal: "Sentence sentiment score: -0."}
        - {literal: "Sentence sentiment magnitude: 0."}
        - {literal: "Language of the text: en"}
      # There should be no positive sentiment scores for this value.
      - assert_not_contains:
        - {literal: "Document sentiment score: 0."}
        - {literal: "Sentence sentiment score: 0."}