# [START howto_operator_gcp_natural_language_analyze_entities]
analyze_entities = \
CloudNaturalLanguageAnalyzeEntitiesOperator(document=document, task_id="analyze_entities")
# [END howto_operator_gcp_natural_language_analyze_entities]
# [START howto_operator_gcp_natural_language_analyze_entities_result]
analyze_entities_result = BashOperator(
bash_command="echo \"{{ task_instance.xcom_pull('analyze_entities') }}\"",
task_id="analyze_entities_result",
)
# [END howto_operator_gcp_natural_language_analyze_entities_result]
# [START howto_operator_gcp_natural_language_analyze_entity_sentiment]
analyze_entity_sentiment = CloudNaturalLanguageAnalyzeEntitySentimentOperator(
document=document, task_id="analyze_entity_sentiment"
)
# [END howto_operator_gcp_natural_language_analyze_entity_sentiment]
# [START howto_operator_gcp_natural_language_analyze_entity_sentiment_result]
analyze_entity_sentiment_result = BashOperator(
bash_command="echo \"{{ task_instance.xcom_pull('analyze_entity_sentiment') }}\"",
task_id="analyze_entity_sentiment_result",
)
# [END howto_operator_gcp_natural_language_analyze_entity_sentiment_result]
# [START howto_operator_gcp_natural_language_analyze_sentiment]
analyze_sentiment = \
CloudNaturalLanguageAnalyzeSentimentOperator(document=document, task_id="analyze_sentiment")
# [END howto_operator_gcp_natural_language_analyze_sentiment]
def test_minimal_green_path(self, hook_mock):
hook_mock.return_value.analyze_entity_sentiment.return_value = ANALYZE_ENTITY_SENTIMENT_RESPONSE
op = CloudNaturalLanguageAnalyzeEntitySentimentOperator(task_id="task-id", document=DOCUMENT)
resp = op.execute({})
self.assertEqual(resp, {})