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create_job_from_ad_hoc.py
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#!/usr/bin/env python
# Copyright 2020 Google LLC
#
# Licensed 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.
"""Google Cloud Transcoder sample for creating a job based on a supplied job config.
Example usage:
python create_job_from_ad_hoc.py --project_id <project-id> --location <location> --input_uri <uri> --output_uri <uri>
"""
# [START transcoder_create_job_from_ad_hoc]
import argparse
from google.cloud.video import transcoder_v1
from google.cloud.video.transcoder_v1.services.transcoder_service import (
TranscoderServiceClient,
)
def create_job_from_ad_hoc(project_id, location, input_uri, output_uri):
"""Creates a job based on an ad-hoc job configuration.
Args:
project_id: The GCP project ID.
location: The location to start the job in.
input_uri: Uri of the video in the Cloud Storage bucket.
output_uri: Uri of the video output folder in the Cloud Storage bucket."""
client = TranscoderServiceClient()
parent = f"projects/{project_id}/locations/{location}"
job = transcoder_v1.types.Job()
job.input_uri = input_uri
job.output_uri = output_uri
job.config = transcoder_v1.types.JobConfig(
elementary_streams=[
transcoder_v1.types.ElementaryStream(
key="video-stream0",
video_stream=transcoder_v1.types.VideoStream(
h264=transcoder_v1.types.VideoStream.H264CodecSettings(
height_pixels=360,
width_pixels=640,
bitrate_bps=550000,
frame_rate=60,
),
),
),
transcoder_v1.types.ElementaryStream(
key="video-stream1",
video_stream=transcoder_v1.types.VideoStream(
h264=transcoder_v1.types.VideoStream.H264CodecSettings(
height_pixels=720,
width_pixels=1280,
bitrate_bps=2500000,
frame_rate=60,
),
),
),
transcoder_v1.types.ElementaryStream(
key="audio-stream0",
audio_stream=transcoder_v1.types.AudioStream(
codec="aac", bitrate_bps=64000
),
),
],
mux_streams=[
transcoder_v1.types.MuxStream(
key="sd",
container="mp4",
elementary_streams=["video-stream0", "audio-stream0"],
),
transcoder_v1.types.MuxStream(
key="hd",
container="mp4",
elementary_streams=["video-stream1", "audio-stream0"],
),
],
)
response = client.create_job(parent=parent, job=job)
print(f"Job: {response.name}")
return response
# [END transcoder_create_job_from_ad_hoc]
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--project_id", help="Your Cloud project ID.", required=True)
parser.add_argument(
"--location",
help="The location to start this job in.",
default="us-central1",
)
parser.add_argument(
"--input_uri",
help="Uri of the video in the Cloud Storage bucket.",
required=True,
)
parser.add_argument(
"--output_uri",
help="Uri of the video output folder in the Cloud Storage bucket. Must end in '/'.",
required=True,
)
args = parser.parse_args()
create_job_from_ad_hoc(
args.project_id,
args.location,
args.input_uri,
args.output_uri,
)