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https://issues.apache.org/jira/browse/BEAM-9146?focusedWorklogId=383075&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-383075
]
ASF GitHub Bot logged work on BEAM-9146:
----------------------------------------
Author: ASF GitHub Bot
Created on: 06/Feb/20 19:15
Start Date: 06/Feb/20 19:15
Worklog Time Spent: 10m
Work Description: aaltay commented on pull request #10764: [BEAM-9146]
Integrate GCP Video Intelligence functionality for Python SDK
URL: https://github.com/apache/beam/pull/10764#discussion_r376029674
##########
File path: sdks/python/apache_beam/ml/gcp/video_intelligence.py
##########
@@ -0,0 +1,131 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""
+A connector for sending API requests to the GCP Video Intelligence API.
+"""
+from __future__ import absolute_import
+
+from cachetools.func import ttl_cache
+from future.utils import binary_type, text_type
+from typing import Union
+
+from apache_beam import typehints
+from apache_beam.metrics import Metrics
+from apache_beam.transforms import DoFn, ParDo, PTransform
+
+try:
+ from google.cloud import videointelligence
+except ImportError:
+ raise ImportError(
+ 'Google Cloud Video Intelligence not supported for this execution
environment '
+ '(could not import google.cloud.videointelligence).')
+
+__all__ = ['AnnotateVideo']
+
+
+@ttl_cache(maxsize=128, ttl=3600)
+def get_videointelligence_client():
+ """Returns a Cloud Video Intelligence client."""
+ _client = videointelligence.VideoIntelligenceServiceClient()
+ return _client
+
+
+class AnnotateVideo(PTransform):
+ """A ``PTransform`` for annotating video using the GCP Video Intelligence API
+ ref: https://cloud.google.com/video-intelligence/docs
+ """
+ def __init__(
+ self,
+ features,
+ video_context=None,
+ location_id=None,
+ metadata=None,
+ timeout=120):
+ """
+ Args:
+ features: (List[``videointelligence_v1.enums.Feature``]) Required.
+ the Video Intelligence API features to detect
+ video_context: (dict, ``videointelligence_v1.types.VideoContext``)
+ Optional.
+ Additional video context and/or feature-specific parameters.
+ location_id: (str) Optional.
+ Cloud region where annotation should take place.
+ If no region is specified, a region will be determined
+ based on video file location.
+ metadata: (Sequence[Tuple[str, str]]) Optional.
+ Additional metadata that is provided to the method.
+ timeout: (int) Optional.
+ The time in seconds to wait for the response from the Video
Intelligence API
+ """
+ super(AnnotateVideo, self).__init__()
+ self.features = features
+ self.video_context = video_context
+ self.location_id = location_id
+ self.metadata = metadata
+ self.timeout = timeout
+
+ def expand(self, pvalue):
+ return pvalue | ParDo(
+ self._VideoAnnotateFn(
+ features=self.features,
+ video_context=self.video_context,
+ location_id=self.location_id,
+ metadata=self.metadata,
+ timeout=self.timeout))
+
+ @typehints.with_input_types(Union[text_type, binary_type])
+ class _VideoAnnotateFn(DoFn):
+ """ A DoFn that sends each input element to the GCP Video Intelligence API
+ service and outputs an element with the return result of the API
+ (``google.cloud.videointelligence_v1.types.AnnotateVideoResponse``).
+ """
+ def __init__(self, features, video_context, location_id, metadata,
timeout):
Review comment:
We can default the timeout to 120 here. If you think that is a reasonable
default.
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Issue Time Tracking
-------------------
Worklog Id: (was: 383075)
Time Spent: 4.5h (was: 4h 20m)
> [Python] PTransform that integrates Video Intelligence functionality
> --------------------------------------------------------------------
>
> Key: BEAM-9146
> URL: https://issues.apache.org/jira/browse/BEAM-9146
> Project: Beam
> Issue Type: Sub-task
> Components: io-py-gcp
> Reporter: Kamil Wasilewski
> Assignee: Kamil Wasilewski
> Priority: Major
> Time Spent: 4.5h
> Remaining Estimate: 0h
>
> The goal is to create a PTransform that integrates Google Cloud Video
> Intelligence functionality [1].
> The transform should be able to take both video GCS location or video data
> bytes as an input.
> [1] https://cloud.google.com/video-intelligence/
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