def execute(self, context): hook = CloudNaturalLanguageHook(gcp_conn_id=self.gcp_conn_id) self.log.info("Start entity sentiment analyze") response = hook.analyze_entity_sentiment( document=self.document, encoding_type=self.encoding_type, retry=self.retry, timeout=self.timeout, metadata=self.metadata, ) self.log.info("Finished entity sentiment analyze") return MessageToDict(response)
def execute(self, context): hook = CloudNaturalLanguageHook(gcp_conn_id=self.gcp_conn_id) self.log.info("Start entity sentiment analyze") response = hook.analyze_entity_sentiment( document=self.document, encoding_type=self.encoding_type, retry=self.retry, timeout=self.timeout, metadata=self.metadata, ) self.log.info("Finished entity sentiment analyze") return MessageToDict(response)
class TestCloudNaturalLanguageHook(unittest.TestCase): def setUp(self): with mock.patch( "airflow.contrib.hooks." "gcp_api_base_hook.GoogleCloudBaseHook.__init__", new=mock_base_gcp_hook_no_default_project_id, ): self.hook = CloudNaturalLanguageHook(gcp_conn_id="test") @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.analyze_entities.return_value": API_RESPONSE} # type: ignore ) def test_analyze_entities(self, get_conn): result = self.hook.analyze_entities(document=DOCUMENT, encoding_type=ENCODING_TYPE) self.assertIs(result, API_RESPONSE) get_conn.return_value.analyze_entities.assert_called_once_with( document=DOCUMENT, encoding_type=ENCODING_TYPE, retry=None, timeout=None, metadata=None ) @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.analyze_entity_sentiment.return_value": API_RESPONSE} ) def test_analyze_entity_sentiment(self, get_conn): result = self.hook.analyze_entity_sentiment(document=DOCUMENT, encoding_type=ENCODING_TYPE) self.assertIs(result, API_RESPONSE) get_conn.return_value.analyze_entity_sentiment.assert_called_once_with( document=DOCUMENT, encoding_type=ENCODING_TYPE, retry=None, timeout=None, metadata=None ) @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.analyze_sentiment.return_value": API_RESPONSE} ) def test_analyze_sentiment(self, get_conn): result = self.hook.analyze_sentiment(document=DOCUMENT, encoding_type=ENCODING_TYPE) self.assertIs(result, API_RESPONSE) get_conn.return_value.analyze_sentiment.assert_called_once_with( document=DOCUMENT, encoding_type=ENCODING_TYPE, retry=None, timeout=None, metadata=None ) @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.analyze_syntax.return_value": API_RESPONSE} ) def test_analyze_syntax(self, get_conn): result = self.hook.analyze_syntax(document=DOCUMENT, encoding_type=ENCODING_TYPE) self.assertIs(result, API_RESPONSE) get_conn.return_value.analyze_syntax.assert_called_once_with( document=DOCUMENT, encoding_type=ENCODING_TYPE, retry=None, timeout=None, metadata=None ) @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.annotate_text.return_value": API_RESPONSE} ) def test_annotate_text(self, get_conn): result = self.hook.annotate_text(document=DOCUMENT, encoding_type=ENCODING_TYPE, features=None) self.assertIs(result, API_RESPONSE) get_conn.return_value.annotate_text.assert_called_once_with( document=DOCUMENT, encoding_type=ENCODING_TYPE, features=None, retry=None, timeout=None, metadata=None, ) @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.classify_text.return_value": API_RESPONSE} ) def test_classify_text(self, get_conn): result = self.hook.classify_text(document=DOCUMENT) self.assertIs(result, API_RESPONSE) get_conn.return_value.classify_text.assert_called_once_with( document=DOCUMENT, retry=None, timeout=None, metadata=None )
class TestCloudNaturalLanguageHook(unittest.TestCase): def setUp(self): with mock.patch( "airflow.contrib.hooks." "gcp_api_base_hook.GoogleCloudBaseHook.__init__", new=mock_base_gcp_hook_no_default_project_id, ): self.hook = CloudNaturalLanguageHook(gcp_conn_id="test") @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.analyze_entities.return_value": API_RESPONSE} # type: ignore ) def test_analyze_entities(self, get_conn): result = self.hook.analyze_entities(document=DOCUMENT, encoding_type=ENCODING_TYPE) self.assertIs(result, API_RESPONSE) get_conn.return_value.analyze_entities.assert_called_once_with( document=DOCUMENT, encoding_type=ENCODING_TYPE, retry=None, timeout=None, metadata=None) @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.analyze_entity_sentiment.return_value": API_RESPONSE}) def test_analyze_entity_sentiment(self, get_conn): result = self.hook.analyze_entity_sentiment( document=DOCUMENT, encoding_type=ENCODING_TYPE) self.assertIs(result, API_RESPONSE) get_conn.return_value.analyze_entity_sentiment.assert_called_once_with( document=DOCUMENT, encoding_type=ENCODING_TYPE, retry=None, timeout=None, metadata=None) @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.analyze_sentiment.return_value": API_RESPONSE}) def test_analyze_sentiment(self, get_conn): result = self.hook.analyze_sentiment(document=DOCUMENT, encoding_type=ENCODING_TYPE) self.assertIs(result, API_RESPONSE) get_conn.return_value.analyze_sentiment.assert_called_once_with( document=DOCUMENT, encoding_type=ENCODING_TYPE, retry=None, timeout=None, metadata=None) @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.analyze_syntax.return_value": API_RESPONSE}) def test_analyze_syntax(self, get_conn): result = self.hook.analyze_syntax(document=DOCUMENT, encoding_type=ENCODING_TYPE) self.assertIs(result, API_RESPONSE) get_conn.return_value.analyze_syntax.assert_called_once_with( document=DOCUMENT, encoding_type=ENCODING_TYPE, retry=None, timeout=None, metadata=None) @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.annotate_text.return_value": API_RESPONSE}) def test_annotate_text(self, get_conn): result = self.hook.annotate_text(document=DOCUMENT, encoding_type=ENCODING_TYPE, features=None) self.assertIs(result, API_RESPONSE) get_conn.return_value.annotate_text.assert_called_once_with( document=DOCUMENT, encoding_type=ENCODING_TYPE, features=None, retry=None, timeout=None, metadata=None, ) @mock.patch( # type: ignore "airflow.contrib.hooks.gcp_natural_language_hook.CloudNaturalLanguageHook.get_conn", **{"return_value.classify_text.return_value": API_RESPONSE}) def test_classify_text(self, get_conn): result = self.hook.classify_text(document=DOCUMENT) self.assertIs(result, API_RESPONSE) get_conn.return_value.classify_text.assert_called_once_with( document=DOCUMENT, retry=None, timeout=None, metadata=None)