type: test/samples schema_version: 1 test: suites: - name: "Analyzing Entities [code sample tests]" cases: - name: language_entities_text - Analyzing the Entities of a text string (default value) spec: # Default value: "California is a state." - call: {sample: language_entities_text} - assert_contains: - {literal: "Representative name for the entity: California"} - {literal: "Entity type: LOCATION"} - {literal: "Salience score:"} - {literal: "wikipedia_url: https://en.wikipedia.org/wiki/California"} - {literal: "mid: /m/01n7q"} - {literal: "Mention text: California"} - {literal: "Mention type: PROPER"} - {literal: "Mention text: state"} - {literal: "Mention type: COMMON"} - {literal: "Language of the text: en"} - name: language_entities_text - Analyzing the Entities of a text string (*custom value*) spec: # Custom value: "Alice is a person. She lives in California." - call: sample: language_entities_text params: text_content: {literal: "Alice is a person. She lives in California."} - assert_contains: - {literal: "Representative name for the entity: Alice"} - {literal: "Entity type: PERSON"} - {literal: "Mention text: Alice"} - {literal: "Mention type: PROPER"} - {literal: "Mention text: person"} - {literal: "Mention type: COMMON"} - {literal: "Representative name for the entity: California"} - {literal: "Entity type: LOCATION"} - {literal: "wikipedia_url: https://en.wikipedia.org/wiki/California"} - {literal: "mid: /m/01n7q"} - {literal: "Language of the text: en"} - name: language_entities_text - Analyzing the Entities of a text string (*metadata attributes*) spec: # Try out some of the metadata attributes which should be available for dates, addresses, etc. # In case fake (555) area code numbers don't work, using United States Naval Observatory number. # Custom value: "I called 202-762-1401 on January 31, 2019 from 1600 Amphitheatre Parkway, Mountain View, CA." - call: sample: language_entities_text params: text_content: literal: "I called 202-762-1401 on January 31, 2019 from 1600 Amphitheatre Parkway, Mountain View, CA." # The results may change, but it's fair to say that at least one of the following types were detected: - assert_contains_any: - literal: "Entity type: DATE" - literal: "Entity type: ADDRESS" - literal: "Entity type: PHONE_NUMBER" # Check that at least some of the supporting metadata for an entity was present in the response - assert_contains_any: - literal: "month: 1" - literal: "day: 31" - literal: "year: 2019" - literal: "street_number: 1600" - literal: "street_name: Amphitheatre Parkway" - literal: "area_code: 202" - literal: "number: 7621401" - name: language_entities_gcs - Analyzing the Entities of text file in GCS (default value) spec: # Default value: gs://cloud-samples-data/language/entity.txt # => "California is a state." - call: {sample: language_entities_gcs} - assert_contains: - {literal: "Representative name for the entity: California"} - {literal: "Entity type: LOCATION"} - {literal: "Salience score:"} - {literal: "wikipedia_url: https://en.wikipedia.org/wiki/California"} - {literal: "mid: /m/01n7q"} - {literal: "Mention text: California"} - {literal: "Mention type: PROPER"} - {literal: "Mention text: state"} - {literal: "Mention type: COMMON"} - {literal: "Language of the text: en"} - name: language_entities_gcs - Analyzing the Entities of text file in GCS (*custom value*) spec: # Use different file: gs://cloud-samples-data/language/entity-sentiment.txt # => "Grapes are good. Bananas are bad." - call: sample: language_entities_gcs params: gcs_content_uri: literal: "gs://cloud-samples-data/language/entity-sentiment.txt" - assert_contains: - {literal: "Representative name for the entity: Grapes"} - {literal: "Mention text: Grapes"} - {literal: "Mention type: COMMON"} - {literal: "Representative name for the entity: Bananas"} - {literal: "Mention text: Bananas"} - {literal: "Language of the text: en"}