I am tearing my hear out with the following error when trying to use Elastic Transcoder invoked from Lambda via a python function Boto3. The error in Cloudwatch Logs is: "An error occurred (ValidationException) when calling the CreateJob operation: 1 validation error detected: Value 'PIPE' at 'pipelineId' failed to satisfy constraint: Member must satisfy regular expression pattern: ^\d{13}-\w{6}$"
As per my code, I specify the name of my Pipeline ID in Elastic Transcoder as PIPE and it doesn't like the characters used. I have tried a few other combinations such as a number and dot. Has anyone had this error and solved it before? I have used AWS example code as my starting point. Thanks in advance!
import boto3
from botocore.exceptions import ClientError
def lambda_handler(event, context):
# Job configuration settings. Set these values before running the script.
pipeline_id = 'PIPE' # ID of an existing Elastic Transcoder pipeline
input_file = 'ChiliChallenge.mp4' # Name of an existing file in the S3 input bucket
output_file = 'output' # Desired root name of the transcoded output files
# Other job configuration settings. Optionally change as desired.
output_file_prefix = 'elastic-transcoder-samples/output/hls/' # Prefix for all output files
segment_duration = '2' # Maximum segment duration in seconds
# Elastic Transcoder presets used to create HLS multi-segment
# output files in MPEG-TS format
hls_64k_audio_preset_id = '1351620000001-200071' # HLS Audio 64kb/second
hls_0400k_preset_id = '1351620000001-200050' # HLS 400k
hls_0600k_preset_id = '1351620000001-200040' # HLS 600k
hls_1000k_preset_id = '1351620000001-200030' # HLS 1M
hls_1500k_preset_id = '1351620000001-200020' # HLS 1.5M
hls_2000k_preset_id = '1351620000001-200010' # HLS 2M
# Define the various outputs
outputs = [
{
'Key': 'hlsAudio/' + output_file,
'PresetId': hls_64k_audio_preset_id,
'SegmentDuration': segment_duration,
},
{
'Key': 'hls0400k/' + output_file,
'PresetId': hls_0400k_preset_id,
'SegmentDuration': segment_duration,
},
{
'Key': 'hls0600k/' + output_file,
'PresetId': hls_0600k_preset_id,
'SegmentDuration': segment_duration,
},
{
'Key': 'hls1000k/' + output_file,
'PresetId': hls_1000k_preset_id,
'SegmentDuration': segment_duration,
},
{
'Key': 'hls1500k/' + output_file,
'PresetId': hls_1500k_preset_id,
'SegmentDuration': segment_duration,
},
{
'Key': 'hls2000k/' + output_file,
'PresetId': hls_2000k_preset_id,
'SegmentDuration': segment_duration,
},
]
# Define the playlist
playlists = [
{
'Name': 'hls_' + output_file,
'Format': 'HLSv3',
'OutputKeys': [x['Key'] for x in outputs]
}
]
# Create an HLS job in Elastic Transcoder
etc_client = boto3.client('elastictranscoder')
response = etc_client.create_job(PipelineId=pipeline_id,
Input={'Key': input_file},
Outputs=outputs,
OutputKeyPrefix=output_file_prefix,
Playlists=playlists)
# Output job ID and exit. Do not wait for the job to finish.
print(f'Created Amazon Elastic Transcoder HLS job {job_info["Id"]}')
On entering your regex at https://regexr.com/
I think your pipeline_id should be of the format:
1704334089176-jhNzi6 (13 digits followed by a '-' followed by 6 alphanumeric chars).
Do check your Pipeline ID in Elastic Transcoder to confirm the correct pipe ID. Maybe this can help you find out the correct ID:
https://docs.aws.amazon.com/elastictranscoder/latest/developerguide/list-pipelines.html