airflow video_intelligence 源码
airflow video_intelligence 代码
文件路径：/airflow/providers/google/cloud/operators/video_intelligence.py
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# to you under the Apache License, Version 2.0 (the
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#
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"""This module contains Google Cloud Vision operators."""
from __future__ import annotations
from typing import TYPE_CHECKING, Sequence
from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.api_core.retry import Retry
from google.cloud.videointelligence_v1 import enums
from google.cloud.videointelligence_v1.types import VideoContext
from google.protobuf.json_format import MessageToDict
from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.video_intelligence import CloudVideoIntelligenceHook
if TYPE_CHECKING:
from airflow.utils.context import Context
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``.
: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.
: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``.
:param video_context: Optional, Additional video context and/or feature-specific parameters.
: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.
:param retry: Retry object used to determine when/if to retry requests.
If None is specified, requests will not be retried.
:param timeout: Optional, The amount of time, in seconds, to wait for the request to complete.
Note that if retry is specified, the timeout applies to each individual attempt.
:param gcp_conn_id: Optional, The connection ID used to connect to Google Cloud.
Defaults to ``google_cloud_default``.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
"""
# [START gcp_video_intelligence_detect_labels_template_fields]
template_fields: Sequence[str] = (
"input_uri",
"output_uri",
"gcp_conn_id",
"impersonation_chain",
)
# [END gcp_video_intelligence_detect_labels_template_fields]
def __init__(
self,
*,
input_uri: str,
input_content: bytes | None = None,
output_uri: str | None = None,
video_context: dict | VideoContext = None,
location: str | None = None,
retry: Retry | _MethodDefault = DEFAULT,
timeout: float | None = None,
gcp_conn_id: str = "google_cloud_default",
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**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
self.timeout = timeout
self.impersonation_chain = impersonation_chain
def execute(self, context: 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.LABEL_DETECTION],
timeout=self.timeout,
)
self.log.info("Processing video for label annotations")
result = MessageToDict(operation.result())
self.log.info("Finished processing.")
return result
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``.
: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.
: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``.
:param video_context: Optional, Additional video context and/or feature-specific parameters.
: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.
:param retry: Retry object used to determine when/if to retry requests.
If None is specified, requests will not be retried.
:param timeout: Optional, The amount of time, in seconds, to wait for the request to complete.
Note that if retry is specified, the timeout applies to each individual attempt.
:param gcp_conn_id: Optional, The connection ID used to connect to Google Cloud
Defaults to ``google_cloud_default``.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
"""
# [START gcp_video_intelligence_detect_explicit_content_template_fields]
template_fields: Sequence[str] = (
"input_uri",
"output_uri",
"gcp_conn_id",
"impersonation_chain",
)
# [END gcp_video_intelligence_detect_explicit_content_template_fields]
def __init__(
self,
*,
input_uri: str,
output_uri: str | None = None,
input_content: bytes | None = None,
video_context: dict | VideoContext = None,
location: str | None = None,
retry: Retry | _MethodDefault = DEFAULT,
timeout: float | None = None,
gcp_conn_id: str = "google_cloud_default",
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**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
self.timeout = timeout
self.impersonation_chain = impersonation_chain
def execute(self, context: 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
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``.
: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.
: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``.
:param video_context: Optional, Additional video context and/or feature-specific parameters.
: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.
:param retry: Retry object used to determine when/if to retry requests.
If None is specified, requests will not be retried.
:param timeout: Optional, The amount of time, in seconds, to wait for the request to complete.
Note that if retry is specified, the timeout applies to each individual attempt.
:param gcp_conn_id: Optional, The connection ID used to connect to Google Cloud.
Defaults to ``google_cloud_default``.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
"""
# [START gcp_video_intelligence_detect_video_shots_template_fields]
template_fields: Sequence[str] = (
"input_uri",
"output_uri",
"gcp_conn_id",
"impersonation_chain",
)
# [END gcp_video_intelligence_detect_video_shots_template_fields]
def __init__(
self,
*,
input_uri: str,
output_uri: str | None = None,
input_content: bytes | None = None,
video_context: dict | VideoContext = None,
location: str | None = None,
retry: Retry | _MethodDefault = DEFAULT,
timeout: float | None = None,
gcp_conn_id: str = "google_cloud_default",
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
super().__init__(**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
self.timeout = timeout
self.impersonation_chain = impersonation_chain
def execute(self, context: 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.SHOT_CHANGE_DETECTION],
timeout=self.timeout,
)
self.log.info("Processing video for video shots annotations")
result = MessageToDict(operation.result())
self.log.info("Finished processing.")
return result
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