可能我的问题将被编辑，我已经尝试了更具体。
简介：
我已经按照guide的有关方法，将视频上传到AWS S3存储桶后开始对视频进行转码（使用AWS MediaConvert和AWS Lambda）。
问题：
我需要两个case语句（可能在phyton中），这些语句根据检测到的视频条件启动转换类型A或转换类型B。
示例：
如果视频分辨率<720p，请保持原样
如果视频分辨率> 720p，则将其转换为1080p
问题：
我该怎么做？
某些代码：
我的Lambda功能代码中有以下代码：
这是我的 convert.py
#!/usr/bin/env python
import glob
import json
import os
import uuid
import boto3
import datetime
import random
from urlparse import urlparse
import logging
from botocore.client import ClientError
logger = logging.getLogger()
logger.setLevel(logging.INFO)
S3 = boto3.resource('s3')
def handler(event, context):
'''
Watchfolder handler - this lambda is triggered when video objects are uploaded to the
SourceS3Bucket/inputs folder.
It will look for two sets of file inputs:
SourceS3Bucket/inputs/SourceS3Key:
the input video to be converted
SourceS3Bucket/jobs/*.json:
job settings for MediaConvert jobs to be run against the input video. If
there are no settings files in the jobs folder, then the Default job will be run
from the job.json file in lambda environment.
Ouput paths stored in outputGroup['OutputGroupSettings']['DashIsoGroupSettings']['Destination']
are constructed from the name of the job settings files as follows:
s3://<MediaBucket>/<basename(job settings filename)>/<basename(input)>/<Destination value from job settings file>
'''
assetID = str(uuid.uuid4())
sourceS3Bucket = event['Records'][0]['s3']['bucket']['name']
sourceS3Key = event['Records'][0]['s3']['object']['key']
sourceS3 = 's3://'+ sourceS3Bucket + '/' + sourceS3Key
destinationS3 = 's3://' + os.environ['DestinationBucket']
mediaConvertRole = os.environ['MediaConvertRole']
application = os.environ['Application']
region = os.environ['AWS_DEFAULT_REGION']
statusCode = 200
jobs = []
job = {}
# Use MediaConvert SDK UserMetadata to tag jobs with the assetID
# Events from MediaConvert will have the assetID in UserMedata
jobMetadata = {}
jobMetadata['assetID'] = assetID
jobMetadata['application'] = application
jobMetadata['input'] = sourceS3
jobMetadata['originalName'] = os.path.splitext(sourceS3Key.split("/")[-1])[0]
try:
# Build a list of jobs to run against the input. Use the settings files in WatchFolder/jobs
# if any exist. Otherwise, use the default job.
jobInput = {}
# Iterates through all the objects in jobs folder of the WatchFolder bucket, doing the pagination for you. Each obj
# contains a jobSettings JSON
bucket = S3.Bucket(sourceS3Bucket)
for obj in bucket.objects.filter(Prefix='jobs/'):
if obj.key != "jobs/":
jobInput['filename'] = obj.key
logger.info('jobInput: %s', jobInput['filename'])
jobInput['settings'] = json.loads(obj.get()['Body'].read())
logger.info(json.dumps(jobInput['settings']))
jobs.append(jobInput)
# Use Default job settings in the lambda zip file in the current working directory
if not jobs:
with open('job.json') as json_data:
jobInput['filename'] = 'Default'
logger.info('jobInput: %s', jobInput['filename'])
jobInput['settings'] = json.load(json_data)
logger.info(json.dumps(jobInput['settings']))
jobs.append(jobInput)
# get the account-specific mediaconvert endpoint for this region
mediaconvert_client = boto3.client('mediaconvert', region_name=region)
endpoints = mediaconvert_client.describe_endpoints()
# add the account-specific endpoint to the client session
client = boto3.client('mediaconvert', region_name=region, endpoint_url=endpoints['Endpoints'][0]['Url'], verify=False)
for j in jobs:
jobSettings = j['settings']
jobFilename = j['filename']
# Save the name of the settings file in the job userMetadata
jobMetadata['settings'] = jobFilename
# Update the job settings with the source video from the S3 event
jobSettings['Inputs'][0]['FileInput'] = sourceS3
# Update the job settings with the destination paths for converted videos. We want to replace the
# destination bucket of the output paths in the job settings, but keep the rest of the
# path
destinationS3 = 's3://' + os.environ['DestinationBucket'] + '/' \
+ 'output' + '/' \
+ os.path.splitext(os.path.basename(sourceS3Key))[0] # + '/' \
# + os.path.splitext(os.path.basename(jobFilename))[0]
basePath = destinationS3.replace("s3://", "https://s3-" + region + ".amazonaws.com/")
jobMetadata['fileName'] = jobFilename
for outputGroup in jobSettings['OutputGroups']:
logger.info("outputGroup['OutputGroupSettings']['Type'] == %s", outputGroup['OutputGroupSettings']['Type'])
if outputGroup['OutputGroupSettings']['Type'] == 'FILE_GROUP_SETTINGS':
templateDestination = outputGroup['OutputGroupSettings']['FileGroupSettings']['Destination']
templateDestinationKey = urlparse(templateDestination).path
logger.info("templateDestinationKey == %s", templateDestinationKey)
jobMetadata[templateDestinationKey.replace("/", "").lower()] = basePath + templateDestinationKey
outputGroup['OutputGroupSettings']['FileGroupSettings']['Destination'] = destinationS3+templateDestinationKey
elif outputGroup['OutputGroupSettings']['Type'] == 'HLS_GROUP_SETTINGS':
templateDestination = outputGroup['OutputGroupSettings']['HlsGroupSettings']['Destination']
templateDestinationKey = urlparse(templateDestination).path
logger.info("templateDestinationKey == %s", templateDestinationKey)
jobMetadata[templateDestinationKey.replace("/", "").lower()] = basePath + templateDestinationKey
outputGroup['OutputGroupSettings']['HlsGroupSettings']['Destination'] = destinationS3+templateDestinationKey
elif outputGroup['OutputGroupSettings']['Type'] == 'DASH_ISO_GROUP_SETTINGS':
templateDestination = outputGroup['OutputGroupSettings']['DashIsoGroupSettings']['Destination']
templateDestinationKey = urlparse(templateDestination).path
logger.info("templateDestinationKey == %s", templateDestinationKey)
jobMetadata[templateDestinationKey.replace("/", "").lower()] = basePath + templateDestinationKey
outputGroup['OutputGroupSettings']['DashIsoGroupSettings']['Destination'] = destinationS3+templateDestinationKey
elif outputGroup['OutputGroupSettings']['Type'] == 'DASH_ISO_GROUP_SETTINGS':
templateDestination = outputGroup['OutputGroupSettings']['DashIsoGroupSettings']['Destination']
templateDestinationKey = urlparse(templateDestination).path
logger.info("templateDestinationKey == %s", templateDestinationKey)
jobMetadata[templateDestinationKey.replace("/", "").lower()] = basePath + templateDestinationKey
outputGroup['OutputGroupSettings']['DashIsoGroupSettings']['Destination'] = destinationS3+templateDestinationKey
elif outputGroup['OutputGroupSettings']['Type'] == 'MS_SMOOTH_GROUP_SETTINGS':
templateDestination = outputGroup['OutputGroupSettings']['MsSmoothGroupSettings']['Destination']
templateDestinationKey = urlparse(templateDestination).path
logger.info("templateDestinationKey == %s", templateDestinationKey)
jobMetadata[templateDestinationKey.replace("/", "").lower()] = basePath + templateDestinationKey
outputGroup['OutputGroupSettings']['MsSmoothGroupSettings']['Destination'] = destinationS3+templateDestinationKey
else:
logger.error("Exception: Unknown Output Group Type %s", outputGroup['OutputGroupSettings']['Type'])
statusCode = 500
logger.info(json.dumps(jobSettings))
# Convert the video using AWS Elemental MediaConvert
job = client.create_job(Role=mediaConvertRole, UserMetadata=jobMetadata, Settings=jobSettings)
except Exception as e:
logger.error('Exception: %s', e)
statusCode = 500
raise
finally:
return {
'statusCode': statusCode,
'body': json.dumps(job, indent=4, sort_keys=True, default=str),
'headers': {'Content-Type': 'application/json', 'Access-Control-Allow-Origin': '*'}
}
这是我的 job.json
{
"OutputGroups": [
{
"CustomName": "MP4",
"Name": "File Group",
"Outputs": [
{
"ContainerSettings": {
"Container": "MP4",
"Mp4Settings": {
"CslgAtom": "INCLUDE",
"FreeSpaceBox": "EXCLUDE",
"MoovPlacement": "PROGRESSIVE_DOWNLOAD"
}
},
"VideoDescription": {
"Width": 1280,
"ScalingBehavior": "DEFAULT",
"Height": 720,
"TimecodeInsertion": "DISABLED",
"AntiAlias": "ENABLED",
"Sharpness": 50,
"CodecSettings": {
"Codec": "H_264",
"H264Settings": {
"InterlaceMode": "PROGRESSIVE",
"NumberReferenceFrames": 3,
"Syntax": "DEFAULT",
"Softness": 0,
"GopClosedCadence": 1,
"GopSize": 90,
"Slices": 1,
"GopBReference": "DISABLED",
"SlowPal": "DISABLED",
"SpatialAdaptiveQuantization": "ENABLED",
"TemporalAdaptiveQuantization": "ENABLED",
"FlickerAdaptiveQuantization": "DISABLED",
"EntropyEncoding": "CABAC",
"Bitrate": 3000000,
"FramerateControl": "INITIALIZE_FROM_SOURCE",
"RateControlMode": "CBR",
"CodecProfile": "MAIN",
"Telecine": "NONE",
"MinIInterval": 0,
"AdaptiveQuantization": "HIGH",
"CodecLevel": "AUTO",
"FieldEncoding": "PAFF",
"SceneChangeDetect": "ENABLED",
"QualityTuningLevel": "SINGLE_PASS",
"FramerateConversionAlgorithm": "DUPLICATE_DROP",
"UnregisteredSeiTimecode": "DISABLED",
"GopSizeUnits": "FRAMES",
"ParControl": "INITIALIZE_FROM_SOURCE",
"NumberBFramesBetweenReferenceFrames": 2,
"RepeatPps": "DISABLED"
}
},
"AfdSignaling": "NONE",
"DropFrameTimecode": "ENABLED",
"RespondToAfd": "NONE",
"ColorMetadata": "INSERT"
},
"AudioDescriptions": [
{
"AudioTypeControl": "FOLLOW_INPUT",
"CodecSettings": {
"Codec": "AAC",
"AacSettings": {
"AudioDescriptionBroadcasterMix": "NORMAL",
"Bitrate": 96000,
"RateControlMode": "CBR",
"CodecProfile": "LC",
"CodingMode": "CODING_MODE_2_0",
"RawFormat": "NONE",
"SampleRate": 48000,
"Specification": "MPEG4"
}
},
"LanguageCodeControl": "FOLLOW_INPUT"
}
]
}
],
"OutputGroupSettings": {
"Type": "FILE_GROUP_SETTINGS",
"FileGroupSettings": {
"Destination": "s3://<MEDIABUCKET>/MP4/"
}
}
},
{
"CustomName": "Thumbnails",
"Name": "File Group",
"Outputs": [
{
"ContainerSettings": {
"Container": "RAW"
},
"VideoDescription": {
"Width": 1280,
"ScalingBehavior": "DEFAULT",
"Height": 720,
"TimecodeInsertion": "DISABLED",
"AntiAlias": "ENABLED",
"Sharpness": 50,
"CodecSettings": {
"Codec": "FRAME_CAPTURE",
"FrameCaptureSettings": {
"FramerateNumerator": 1,
"FramerateDenominator": 5,
"MaxCaptures": 5,
"Quality": 100
}
},
"AfdSignaling": "NONE",
"DropFrameTimecode": "ENABLED",
"RespondToAfd": "NONE",
"ColorMetadata": "INSERT"
}
}
],
"OutputGroupSettings": {
"Type": "FILE_GROUP_SETTINGS",
"FileGroupSettings": {
"Destination": "s3://<MEDIABUCKET>/Thumbnails/"
}
}
}
],
"AdAvailOffset": 0,
"Inputs": [
{
"AudioSelectors": {
"Audio Selector 1": {
"Offset": 0,
"DefaultSelection": "DEFAULT",
"ProgramSelection": 1
}
},
"VideoSelector": {
"ColorSpace": "FOLLOW"
},
"FilterEnable": "AUTO",
"PsiControl": "USE_PSI",
"FilterStrength": 0,
"DeblockFilter": "DISABLED",
"DenoiseFilter": "DISABLED",
"TimecodeSource": "EMBEDDED",
"FileInput": "s3://rodeolabz-us-west-2/vodconsole/VANLIFE.m2ts"
}
]
}