def startTranscodingjob(input_filename, output_filename):
conn_transcode=boto.connect_elastictranscoder()
#conn_transcode.create_pipeline("pipelinewymediatest","wymedia.transcoding.in","wymedia.transcoding.out","arn:aws:iam::745665279123:role/Elastic_Transcoder_Default_Role",{'Progressing': '', 'Completed': '', 'Warning': '', 'Error': ''})
transcode_input = {'Container':
'auto',
'Key': input_filename,
'Resolution': 'auto',
'AspectRatio': 'auto',
'FrameRate': 'auto',
'Interlaced': 'auto'
}
transcode_output = {'Rotate': 'auto',
'PresetId': '1351620000001-100080',
'Key': output_filename
}
job = conn_transcode.create_job("1395751910303-92ulfo", transcode_input, transcode_output)
if job:
return 0
else:
return -1
def push_to_aws(self):
et = boto.connect_elastictranscoder(settings.AWS_ACCESS_KEY_ID, settings.AWS_SECRET_ACCESS_KEY)
renders = self.render_set.all()
transInput = {
'Key': self.input_filename,
'FrameRate': 'auto',
'Resolution': 'auto',
'AspectRatio': 'auto',
'Interlaced': 'auto',
'Container': 'auto'
}
outputs = []
for r in renders:
outputs.append(r.get_aws_output())
et.create_job(
pipeline_id=self.pipeline.aws_pipeline_id,
input_name=transInput,
outputs=outputs,
)
self.status = 'submitted'
self.save()
def push_to_aws(self):
et = boto.connect_elastictranscoder(settings.AWS_ACCESS_KEY_ID,
settings.AWS_SECRET_ACCESS_KEY)
renders = self.render_set.all()
transInput = {
'Key': self.input_filename,
'FrameRate': 'auto',
'Resolution': 'auto',
'AspectRatio': 'auto',
'Interlaced': 'auto',
'Container': 'auto'
}
outputs = []
for r in renders:
outputs.append(r.get_aws_output())
et.create_job(
pipeline_id=self.pipeline.aws_pipeline_id,
input_name=transInput,
outputs=outputs,
)
self.status = 'submitted'
self.save()
def import_videos(self):
s3 = boto.connect_s3(settings.AWS_ACCESS_KEY_ID, settings.AWS_SECRET_ACCESS_KEY)
et = boto.connect_elastictranscoder(settings.AWS_ACCESS_KEY_ID, settings.AWS_SECRET_ACCESS_KEY)
b = s3.get_bucket(self.input_bucket)
default_presets = RenderPreset.objects.filter(default=True)
keys = b.list()
for key in keys:
if not key.key.endswith('/'):
Video.create_video(key.key, self, default_presets)
def import_videos(self):
s3 = boto.connect_s3(settings.AWS_ACCESS_KEY_ID,
settings.AWS_SECRET_ACCESS_KEY)
et = boto.connect_elastictranscoder(settings.AWS_ACCESS_KEY_ID,
settings.AWS_SECRET_ACCESS_KEY)
b = s3.get_bucket(self.input_bucket)
default_presets = RenderPreset.objects.filter(default=True)
keys = b.list()
for key in keys:
if not key.key.endswith('/'):
Video.create_video(key.key, self, default_presets)
def sync_with_aws():
#LOG THIS WITH THE SYNC DB
AWSSyncHistory.create_sync('PIPELINE')
et = boto.connect_elastictranscoder(settings.AWS_ACCESS_KEY_ID, settings.AWS_SECRET_ACCESS_KEY)
pipelines = et.list_pipelines()
for p in pipelines['Pipelines']:
id = p['Id']
found_object = Pipeline.objects.filter(aws_pipeline_id=id)
if found_object.count() == 0:
found_object = Pipeline()
found_object.aws_pipeline_id = id
found_object.auto_process_inputs = False
else:
found_object = found_object[0]
found_object.name = p['Name']
found_object.input_bucket = p['InputBucket']
found_object.output_bucket = p['ContentConfig']['Bucket']
found_object.save()
def sync_with_aws():
#LOG THIS WITH THE SYNC DB
AWSSyncHistory.create_sync('RENDER_PRESET')
et = boto.connect_elastictranscoder(settings.AWS_ACCESS_KEY_ID, settings.AWS_SECRET_ACCESS_KEY)
presets = et.list_presets()
for p in presets['Presets']:
id = p['Id']
found_object = RenderPreset.objects.filter(aws_preset_id=id)
if found_object.count() == 0:
found_object = RenderPreset()
found_object.aws_preset_id = id
found_object.default = False
else:
found_object = found_object[0]
found_object.name = p['Name']
found_object.description = p['Description']
found_object.container = p['Container']
found_object.save()
def sync_with_aws():
#LOG THIS WITH THE SYNC DB
AWSSyncHistory.create_sync('PIPELINE')
et = boto.connect_elastictranscoder(settings.AWS_ACCESS_KEY_ID,
settings.AWS_SECRET_ACCESS_KEY)
pipelines = et.list_pipelines()
for p in pipelines['Pipelines']:
id = p['Id']
found_object = Pipeline.objects.filter(aws_pipeline_id=id)
if found_object.count() == 0:
found_object = Pipeline()
found_object.aws_pipeline_id = id
found_object.auto_process_inputs = False
else:
found_object = found_object[0]
found_object.name = p['Name']
found_object.input_bucket = p['InputBucket']
found_object.output_bucket = p['ContentConfig']['Bucket']
found_object.save()
def sync_with_aws():
#LOG THIS WITH THE SYNC DB
AWSSyncHistory.create_sync('RENDER_PRESET')
et = boto.connect_elastictranscoder(settings.AWS_ACCESS_KEY_ID,
settings.AWS_SECRET_ACCESS_KEY)
presets = et.list_presets()
for p in presets['Presets']:
id = p['Id']
found_object = RenderPreset.objects.filter(aws_preset_id=id)
if found_object.count() == 0:
found_object = RenderPreset()
found_object.aws_preset_id = id
found_object.default = False
else:
found_object = found_object[0]
found_object.name = p['Name']
found_object.description = p['Description']
found_object.container = p['Container']
found_object.save()
def poll_elastic_transcoder(media_id, job_id, update_media=True):
"""Watch an ET job and update the media status when it's done.
args:
media_id: Media object we're updating
job_id: ET job ID to monitor
update_media: if False, no changes will be made to the Media object
"""
logger.warning("Polling Now for: %s", media_id)
media = Media.objects.get(id=media_id)
media.save()
try:
transcoder = boto.connect_elastictranscoder(
settings.AWS_ACCESS_KEY_ID,
settings.AWS_SECRET_ACCESS_KEY,
)
except boto.exception.BotoServerError, exc:
logger.error("Unable to connect to Elastic Transcoder!", exc_info=exc)
if update_media:
media.status = 'E'
media.save()
raise
def connect (self):
"""
Connects to AET and returns a handle.
"""
return boto.connect_elastictranscoder()
def __init__(self):
self.aws_transcoder = boto.connect_elastictranscoder(AuthentiCation.access_key, AuthentiCation.secret_key,)
self.aws_transcoder = boto.elastictranscoder.connect_to_region('ap-northeast-1')
self.pipeline_id = '1437294072599-2bekkw'
self.presetId = '1351620000001-000020'
# No point in starting another transcode for the same media
if media.status in ('I', 'Q'):
logger.warning("Transcode already in progress, %s, did not start transcoding.",
media_id)
return
'''
# Ensure we have the original key saved
if update_media:
media.update(set__original_s3_key=media.s3_key)
'''
try:
transcoder = boto.connect_elastictranscoder(
settings.AWS_ACCESS_KEY_ID,
settings.AWS_SECRET_ACCESS_KEY,
)
except boto.exception.BotoServerError, exc:
logger.error("Unable to connect to Elastic Transcoder!", exc_info=exc)
if update_media:
media.status = 'E'
media.save()
raise
# Get the Pipeline ID for the named pipeline
pipeline_id = get_pipeline_id(transcoder, pipeline_name)
if not pipeline_id:
raise KeyError("Elastic Transcoder pipeline %s not found!",
pipeline_name)
input_name = {
