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from google.protobuf.json_format import MessageToDict
from airflow.contrib.hooks.gcp_video_intelligence_hook import CloudVideoIntelligenceHook
from airflow.models import BaseOperator
from google.cloud.videointelligence_v1 import enums
[docs]class CloudVideoIntelligenceDetectVideoLabelsOperator(BaseOperator):
"""
Performs video annotation, annotating video labels.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudVideoIntelligenceDetectVideoLabelsOperator`.
:param input_uri: Input video location. Currently, only Google Cloud Storage URIs are supported,
which must be specified in the following format: ``gs://bucket-id/object-id``.
:type input_uri: str
:param input_content: The video data bytes.
If unset, the input video(s) should be specified via ``input_uri``.
If set, ``input_uri`` should be unset.
:type input_content: bytes
:param output_uri: Optional, location where the output (in JSON format) should be stored. Currently, only
Google Cloud Storage URIs are supported, which must be specified in the following format:
``gs://bucket-id/object-id``.
:type output_uri: str
:param video_context: Optional, Additional video context and/or feature-specific parameters.
:type video_context: dict or google.cloud.videointelligence_v1.types.VideoContext
:param location: Optional, cloud region where annotation should take place. Supported cloud regions:
us-east1, us-west1, europe-west1, asia-east1. If no region is specified, a region will be determined
based on video file location.
:type location: str
:param retry: Retry object used to determine when/if to retry requests.
If None is specified, requests will not be retried.
:type retry: google.api_core.retry.Retry
:param gcp_conn_id: Optional, The connection ID used to connect to Google Cloud
Platform. Defaults to ``google_cloud_default``.
:type gcp_conn_id: str
"""
# [START gcp_video_intelligence_detect_labels_template_fields]
[docs] template_fields = ("input_uri", "output_uri", "gcp_conn_id")
# [END gcp_video_intelligence_detect_labels_template_fields]
def __init__(
self,
input_uri,
input_content=None,
output_uri=None,
video_context=None,
location=None,
retry=None,
gcp_conn_id="google_cloud_default",
*args,
**kwargs
):
super(CloudVideoIntelligenceDetectVideoLabelsOperator, self).__init__(*args, **kwargs)
self.input_uri = input_uri
self.input_content = input_content
self.output_uri = output_uri
self.video_context = video_context
self.location = location
self.retry = retry
self.gcp_conn_id = gcp_conn_id
[docs] 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],
)
self.log.info("Processing video for label annotations")
result = MessageToDict(operation.result())
self.log.info("Finished processing.")
return result
[docs]class CloudVideoIntelligenceDetectVideoExplicitContentOperator(BaseOperator):
"""
Performs video annotation, annotating explicit content.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudVideoIntelligenceDetectVideoExplicitContentOperator`
:param input_uri: Input video location. Currently, only Google Cloud Storage URIs are supported,
which must be specified in the following format: ``gs://bucket-id/object-id``.
:type input_uri: str
:param input_content: The video data bytes.
If unset, the input video(s) should be specified via ``input_uri``.
If set, ``input_uri`` should be unset.
:type input_content: bytes
:param output_uri: Optional, location where the output (in JSON format) should be stored. Currently, only
Google Cloud Storage URIs are supported, which must be specified in the following format:
``gs://bucket-id/object-id``.
:type output_uri: str
:param video_context: Optional, Additional video context and/or feature-specific parameters.
:type video_context: dict or google.cloud.videointelligence_v1.types.VideoContext
:param location: Optional, cloud region where annotation should take place. Supported cloud regions:
us-east1, us-west1, europe-west1, asia-east1. If no region is specified, a region will be determined
based on video file location.
:type location: str
:param retry: Retry object used to determine when/if to retry requests.
If None is specified, requests will not be retried.
:type retry: google.api_core.retry.Retry
:param gcp_conn_id: Optional, The connection ID used to connect to Google Cloud
Platform. Defaults to ``google_cloud_default``.
:type gcp_conn_id: str
"""
# [START gcp_video_intelligence_detect_explicit_content_template_fields]
[docs] template_fields = ("input_uri", "output_uri", "gcp_conn_id")
# [END gcp_video_intelligence_detect_explicit_content_template_fields]
def __init__(
self,
input_uri,
output_uri=None,
input_content=None,
video_context=None,
location=None,
retry=None,
gcp_conn_id="google_cloud_default",
*args,
**kwargs
):
super(CloudVideoIntelligenceDetectVideoExplicitContentOperator, self).__init__(*args, **kwargs)
self.input_uri = input_uri
self.output_uri = output_uri
self.input_content = input_content
self.video_context = video_context
self.location = location
self.retry = retry
self.gcp_conn_id = gcp_conn_id
[docs] 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.EXPLICIT_CONTENT_DETECTION],
)
self.log.info("Processing video for explicit content annotations")
result = MessageToDict(operation.result())
self.log.info("Finished processing.")
return result
[docs]class CloudVideoIntelligenceDetectVideoShotsOperator(BaseOperator):
"""
Performs video annotation, annotating video shots.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudVideoIntelligenceDetectVideoShotsOperator`
:param input_uri: Input video location. Currently, only Google Cloud Storage URIs are supported,
which must be specified in the following format: ``gs://bucket-id/object-id``.
:type input_uri: str
:param input_content: The video data bytes.
If unset, the input video(s) should be specified via ``input_uri``.
If set, ``input_uri`` should be unset.
:type input_content: bytes
:param output_uri: Optional, location where the output (in JSON format) should be stored. Currently, only
Google Cloud Storage URIs are supported, which must be specified in the following format:
``gs://bucket-id/object-id``.
:type output_uri: str
:param video_context: Optional, Additional video context and/or feature-specific parameters.
:type video_context: dict or google.cloud.videointelligence_v1.types.VideoContext
:param location: Optional, cloud region where annotation should take place. Supported cloud regions:
us-east1, us-west1, europe-west1, asia-east1. If no region is specified, a region will be determined
based on video file location.
:type location: str
:param retry: Retry object used to determine when/if to retry requests.
If None is specified, requests will not be retried.
:type retry: google.api_core.retry.Retry
:param gcp_conn_id: Optional, The connection ID used to connect to Google Cloud
Platform. Defaults to ``google_cloud_default``.
:type gcp_conn_id: str
"""
# [START gcp_video_intelligence_detect_video_shots_template_fields]
[docs] template_fields = ("input_uri", "output_uri", "gcp_conn_id")
# [END gcp_video_intelligence_detect_video_shots_template_fields]
def __init__(
self,
input_uri,
output_uri=None,
input_content=None,
video_context=None,
location=None,
retry=None,
gcp_conn_id="google_cloud_default",
*args,
**kwargs
):
super(CloudVideoIntelligenceDetectVideoShotsOperator, self).__init__(*args, **kwargs)
self.input_uri = input_uri
self.output_uri = output_uri
self.input_content = input_content
self.video_context = video_context
self.location = location
self.retry = retry
self.gcp_conn_id = gcp_conn_id
[docs] 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.SHOT_CHANGE_DETECTION],
)
self.log.info("Processing video for video shots annotations")
result = MessageToDict(operation.result())
self.log.info("Finished processing.")
return result