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_v1beta1.types.Job()
job.input_uri = input_uri
job.output_uri = output_uri
job.config = transcoder_v1beta1.types.JobConfig(
elementary_streams=[
transcoder_v1beta1.types.ElementaryStream(
key="video-stream0",
video_stream=transcoder_v1beta1.types.VideoStream(
codec="h264",
height_pixels=360,
width_pixels=640,
bitrate_bps=550000,
frame_rate=60,
),
),
transcoder_v1beta1.types.ElementaryStream(
key="video-stream1",
video_stream=transcoder_v1beta1.types.VideoStream(
codec="h264",
height_pixels=720,
width_pixels=1280,
bitrate_bps=2500000,
frame_rate=60,
),
),
transcoder_v1beta1.types.ElementaryStream(
key="audio-stream0",
audio_stream=transcoder_v1beta1.types.AudioStream(
codec="aac", bitrate_bps=64000
),
),
],
mux_streams=[
transcoder_v1beta1.types.MuxStream(
key="sd",
container="mp4",
elementary_streams=["video-stream0", "audio-stream0"],
),
transcoder_v1beta1.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
def get_job_template(project_id, location, template_id):
"""Gets a job template.
Args:
project_id: The GCP project ID.
location: The location of the template.
template_id: The user-defined template ID."""
client = TranscoderServiceClient()
name = f"projects/{project_id}/locations/{location}/jobTemplates/{template_id}"
response = client.get_job_template(name=name)
print(f"Job template: {response.name}")
return response
def delete_job(project_id, location, job_id):
"""Gets a job.
Args:
project_id: The GCP project ID.
location: The location this job is in.
job_id: The job ID."""
client = TranscoderServiceClient()
name = f"projects/{project_id}/locations/{location}/jobs/{job_id}"
response = client.delete_job(name=name)
print("Deleted job")
return response
def get_job_state(project_id, location, job_id):
"""Gets a job's state.
Args:
project_id: The GCP project ID.
location: The location this job is in.
job_id: The job ID."""
client = TranscoderServiceClient()
name = f"projects/{project_id}/locations/{location}/jobs/{job_id}"
response = client.get_job(name=name)
print(f"Job state: {str(response.state)}")
return response
def list_jobs(project_id, location):
"""Lists all jobs in a location.
Args:
project_id: The GCP project ID.
location: The location of the jobs."""
client = TranscoderServiceClient()
parent = f"projects/{project_id}/locations/{location}"
response = client.list_jobs(parent=parent)
print("Jobs:")
for job in response.jobs:
print({job.name})
return response
def create_job_from_preset(project_id, location, input_uri, output_uri, preset):
"""Creates a job based on a job preset.
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.
preset: The preset template."""
client = TranscoderServiceClient()
parent = f"projects/{project_id}/locations/{location}"
job = transcoder_v1beta1.types.Job()
job.input_uri = input_uri
job.output_uri = output_uri
job.template_id = preset
response = client.create_job(parent=parent, job=job)
print(f"Job: {response.name}")
return response
def create_job_with_static_overlay(
project_id, location, input_uri, overlay_image_uri, output_uri
):
"""Creates a job based on an ad-hoc job configuration that includes a static image overlay.
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.
overlay_image_uri: Uri of the JPEG image for the overlay in the Cloud Storage bucket. Must be a JPEG.
output_uri: Uri of the video output folder in the Cloud Storage bucket."""
client = TranscoderServiceClient()
parent = f"projects/{project_id}/locations/{location}"
job = transcoder_v1beta1.types.Job()
job.input_uri = input_uri
job.output_uri = output_uri
job.config = transcoder_v1beta1.types.JobConfig(
elementary_streams=[
transcoder_v1beta1.types.ElementaryStream(
key="video-stream0",
video_stream=transcoder_v1beta1.types.VideoStream(
codec="h264",
height_pixels=360,
width_pixels=640,
bitrate_bps=550000,
frame_rate=60,
),
),
transcoder_v1beta1.types.ElementaryStream(
key="audio-stream0",
audio_stream=transcoder_v1beta1.types.AudioStream(
codec="aac", bitrate_bps=64000
),
),
],
mux_streams=[
transcoder_v1beta1.types.MuxStream(
key="sd",
container="mp4",
elementary_streams=["video-stream0", "audio-stream0"],
),
],
overlays=[
transcoder_v1beta1.types.Overlay(
image=transcoder_v1beta1.types.Overlay.Image(
uri=overlay_image_uri,
resolution=transcoder_v1beta1.types.Overlay.NormalizedCoordinate(
x=1,
y=0.5,
),
alpha=1,
),
animations=[
transcoder_v1beta1.types.Overlay.Animation(
animation_static=transcoder_v1beta1.types.Overlay.AnimationStatic(
xy=transcoder_v1beta1.types.Overlay.NormalizedCoordinate(
x=0,
y=0,
),
start_time_offset=duration.Duration(
seconds=0,
),
),
),
transcoder_v1beta1.types.Overlay.Animation(
animation_end=transcoder_v1beta1.types.Overlay.AnimationEnd(
start_time_offset=duration.Duration(
seconds=10,
),
),
),
],
),
],
)
response = client.create_job(parent=parent, job=job)
print(f"Job: {response.name}")
return response
def create_job_template(project_id, location, template_id):
"""Creates a job template.
Args:
project_id: The GCP project ID.
location: The location to store this template in.
template_id: The user-defined template ID."""
client = TranscoderServiceClient()
parent = f"projects/{project_id}/locations/{location}"
job_template = transcoder_v1beta1.types.JobTemplate()
job_template.name = (
f"projects/{project_id}/locations/{location}/jobTemplates/{template_id}"
)
job_template.config = transcoder_v1beta1.types.JobConfig(
elementary_streams=[
transcoder_v1beta1.types.ElementaryStream(
key="video-stream0",
video_stream=transcoder_v1beta1.types.VideoStream(
codec="h264",
height_pixels=360,
width_pixels=640,
bitrate_bps=550000,
frame_rate=60,
),
),
transcoder_v1beta1.types.ElementaryStream(
key="video-stream1",
video_stream=transcoder_v1beta1.types.VideoStream(
codec="h264",
height_pixels=720,
width_pixels=1280,
bitrate_bps=2500000,
frame_rate=60,
),
),
transcoder_v1beta1.types.ElementaryStream(
key="audio-stream0",
audio_stream=transcoder_v1beta1.types.AudioStream(
codec="aac", bitrate_bps=64000),
),
],
mux_streams=[
transcoder_v1beta1.types.MuxStream(
key="sd",
container="mp4",
elementary_streams=["video-stream0", "audio-stream0"],
),
transcoder_v1beta1.types.MuxStream(
key="hd",
container="mp4",
elementary_streams=["video-stream1", "audio-stream0"],
),
],
)
response = client.create_job_template(parent=parent,
job_template=job_template,
job_template_id=template_id)
print(f"Job template: {response.name}")
return response
def create_job_with_periodic_images_spritesheet(project_id, location,
input_uri, output_uri):
"""Creates a job based on an ad-hoc job configuration that generates two spritesheets.
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_v1beta1.types.Job()
job.input_uri = input_uri
job.output_uri = output_uri
job.config = transcoder_v1beta1.types.JobConfig(
# Create an ad-hoc job. For more information, see https://cloud.google.com/transcoder/docs/how-to/jobs#create_jobs_ad_hoc.
# See all options for the job config at https://cloud.google.com/transcoder/docs/reference/rest/v1beta1/JobConfig.
elementary_streams=[
# This section defines the output video stream.
transcoder_v1beta1.types.ElementaryStream(
key="video-stream0",
video_stream=transcoder_v1beta1.types.VideoStream(
codec="h264",
height_pixels=360,
width_pixels=640,
bitrate_bps=550000,
frame_rate=60,
),
),
# This section defines the output audio stream.
transcoder_v1beta1.types.ElementaryStream(
key="audio-stream0",
audio_stream=transcoder_v1beta1.types.AudioStream(
codec="aac", bitrate_bps=64000),
),
],
# This section multiplexes the output audio and video together into a container.
mux_streams=[
transcoder_v1beta1.types.MuxStream(
key="sd",
container="mp4",
elementary_streams=["video-stream0", "audio-stream0"],
),
],
# Generate two sprite sheets from the input video into the GCS bucket. For more information, see
# https://cloud.google.com/transcoder/docs/how-to/generate-spritesheet#generate_image_periodically.
sprite_sheets=[
# Generate a sprite sheet with 64x32px images. An image is taken every 7 seconds from the video.
transcoder_v1beta1.types.SpriteSheet(
file_prefix="small-sprite-sheet",
sprite_width_pixels=64,
sprite_height_pixels=32,
interval=duration.Duration(seconds=7, ),
),
# Generate a sprite sheet with 128x72px images. An image is taken every 7 seconds from the video.
transcoder_v1beta1.types.SpriteSheet(
file_prefix="large-sprite-sheet",
sprite_width_pixels=128,
sprite_height_pixels=72,
interval=duration.Duration(seconds=7, ),
),
],
)
response = client.create_job(parent=parent, job=job)
print(f"Job: {response.name}")
return response
def create_job_with_periodic_images_spritesheet(project_id, location,
input_uri, output_uri):
"""Creates a job based on an ad-hoc job configuration that generates two spritesheets.
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_v1beta1.types.Job()
job.input_uri = input_uri
job.output_uri = output_uri
job.config = transcoder_v1beta1.types.JobConfig(
# Create an ad-hoc job. For more information, see https://cloud.google.com/transcoder/docs/how-to/jobs#create_jobs_ad_hoc.
# See all options for the job config at https://cloud.google.com/transcoder/docs/reference/rest/v1beta1/JobConfig.
inputs=[
transcoder_v1beta1.types.Input(
key="caption_input0",
uri="gs://alme-test-eyu/transcode_input/subs_2.srt",
),
transcoder_v1beta1.types.Input(key="input0", )
],
edit_list=[
transcoder_v1beta1.types.EditAtom(
key="atom0",
inputs=[
"caption_input0",
"input0",
],
),
],
elementary_streams=[
# This section defines the output video stream.
transcoder_v1beta1.types.ElementaryStream(
key="video-stream0",
video_stream=transcoder_v1beta1.types.VideoStream(
codec="h264",
height_pixels=360,
width_pixels=640,
bitrate_bps=550000,
frame_rate=60,
),
),
# This section defines the output audio stream.
transcoder_v1beta1.types.ElementaryStream(
key="audio-stream0",
audio_stream=transcoder_v1beta1.types.AudioStream(
codec="aac", bitrate_bps=64000),
),
# This section defines the output text stream.
transcoder_v1beta1.types.ElementaryStream(
key="text-stream0",
text_stream=transcoder_v1beta1.types.TextStream(
codec="webvtt",
#codec="cea608",
language_code="en-US",
#mapping=[
# transcoder_v1beta1.types.TextStream.TextAtom(
# key="atom0",
# inputs=[
# transcoder_v1beta1.types.TextStream.TextAtom.TextInput(
# key="caption_input0",
# ),
# ],
# ),
#]
),
),
],
# This section multiplexes the output audio and video together into a container.
#mux_streams=[
# transcoder_v1beta1.types.MuxStream(
# key="sd",
# container="mp4",
# elementary_streams=["video-stream0", "audio-stream0", "text-stream0"],
# ),
#],
mux_streams=[
transcoder_v1beta1.types.MuxStream(
key="sd",
container="ts",
elementary_streams=["video-stream0", "audio-stream0"],
#segment_settings=transcoder_v1beta1.types.SegmentSettings(
# segment_duration=duration.Duration(seconds=6),
# individual_segments=True
#),
),
#transcoder_v1beta1.types.MuxStream(
# key="audio",
# container="fmp4",
# elementary_streams=["audio-stream0"],
# segment_settings=transcoder_v1beta1.types.SegmentSettings(
# segment_duration=duration.Duration(seconds=5),
# individual_segments=True
# ),
#),
transcoder_v1beta1.types.MuxStream(
key="subtitle",
container="vtt",
elementary_streams=["text-stream0"],
segment_settings=transcoder_v1beta1.types.SegmentSettings(
segment_duration=duration.Duration(seconds=6),
individual_segments=True),
),
],
manifests=[
transcoder_v1beta1.types.Manifest(
file_name="master.m3u8",
type_="HLS",
mux_streams=["sd", "subtitle"],
)
],
# Generate two sprite sheets from the input video into the GCS bucket. For more information, see
# https://cloud.google.com/transcoder/docs/how-to/generate-spritesheet#generate_image_periodically.
sprite_sheets=[
# Generate a sprite sheet with 64x32px images. An image is taken every 7 seconds from the video.
transcoder_v1beta1.types.SpriteSheet(
file_prefix="4-3-",
sprite_width_pixels=720,
sprite_height_pixels=540,
column_count=1,
row_count=1,
total_count=5,
#interval=duration.Duration(
# seconds=7,
#),
),
# Generate a sprite sheet with 128x72px images. An image is taken every 7 seconds from the video.
transcoder_v1beta1.types.SpriteSheet(
file_prefix="16-9-",
sprite_width_pixels=960,
sprite_height_pixels=540,
column_count=1,
row_count=1,
total_count=5,
#interval=duration.Duration(
# seconds=7,
#),
),
],
)
response = client.create_job(parent=parent, job=job)
print(f"Job: {response.name}")
return response
def create_job_template(project_id, location, template_id, pubsub_topic):
"""Creates a job template.
Args:
project_id: The GCP project ID.
location: The location to store this template in. Ex: us-central1
template_id: The user-defined template ID. Ex: template_transcode_to_mp4_with_notification
pubsub_topic: The name of the Pub/Sub topic to publish job completion notification to. Example: my_pubsub_topic
"""
client = TranscoderServiceClient()
parent = f"projects/{project_id}/locations/{location}"
pubsub_topic_fullname = f"projects/{project_id}/topics/{pubsub_topic}"
job_template = transcoder_v1beta1.types.JobTemplate()
job_template.name = (
f"projects/{project_id}/locations/{location}/jobTemplates/{template_id}"
)
job_template.config = transcoder_v1beta1.types.JobConfig(
pubsub_destination={"topic": pubsub_topic_fullname},
elementary_streams=[
transcoder_v1beta1.types.ElementaryStream(
key="video-stream0",
video_stream=transcoder_v1beta1.types.VideoStream(
codec="h264",
height_pixels=360,
width_pixels=640,
bitrate_bps=550000,
frame_rate=60,
),
),
transcoder_v1beta1.types.ElementaryStream(
key="video-stream1",
video_stream=transcoder_v1beta1.types.VideoStream(
codec="h264",
height_pixels=720,
width_pixels=1280,
bitrate_bps=2500000,
frame_rate=60,
),
),
transcoder_v1beta1.types.ElementaryStream(
key="audio-stream0",
audio_stream=transcoder_v1beta1.types.AudioStream(
codec="aac", bitrate_bps=64000),
),
],
mux_streams=[
transcoder_v1beta1.types.MuxStream(
key="sd",
container="mp4",
elementary_streams=["video-stream0", "audio-stream0"],
),
transcoder_v1beta1.types.MuxStream(
key="hd",
container="mp4",
elementary_streams=["video-stream1", "audio-stream0"],
),
],
)
response = client.create_job_template(parent=parent,
job_template=job_template,
job_template_id=template_id)
print(f"Job template: {response.name}")
return response
