def execute(self, context):
hook = CloudVideoIntelligenceHook(gcp_conn_id=self.gcp_conn_id)
operation = hook.annotate_video(
input_uri=self.input_uri,
input_content=self.input_content,
video_context=self.video_context,
location=self.location,
retry=self.retry,
features=[enums.Feature.LABEL_DETECTION],
timeout=self.timeout)
self.log.info("Processing video for label annotations")
result = MessageToDict(operation.result())
self.log.info("Finished processing.")
return result
def execute(self, context):
hook = CloudVideoIntelligenceHook(
gcp_conn_id=self.gcp_conn_id,
impersonation_chain=self.impersonation_chain,
)
operation = hook.annotate_video(
input_uri=self.input_uri,
input_content=self.input_content,
video_context=self.video_context,
location=self.location,
retry=self.retry,
features=[enums.Feature.EXPLICIT_CONTENT_DETECTION],
timeout=self.timeout)
self.log.info("Processing video for explicit content annotations")
result = MessageToDict(operation.result())
self.log.info("Finished processing.")
return result
def setUp(self):
with mock.patch(
"airflow.providers.google.cloud.hooks.video_intelligence.CloudVideoIntelligenceHook.__init__",
new=mock_base_gcp_hook_default_project_id,
):
self.hook = CloudVideoIntelligenceHook(gcp_conn_id="test")