def add_media(config, media):
if media.status != Media.PENDING:
media_src_path = config.storage_medias_path(media, generate=False)
if media_src_path:
media_dst_path = config.storage_medias_path(media, generate=True)
if media_dst_path != media_src_path:
# Generate media storage uri and move it to media storage path + set permissions
media.uri = config.storage_medias_uri(media)
try_makedirs(os.path.dirname(media_dst_path))
the_error = None
for i in xrange(5):
try:
os.rename(media_src_path, media_dst_path)
# FIXME chown chmod
the_error = None
break
except OSError as error:
the_error = error
time.sleep(1)
if the_error:
raise IndexError(to_bytes(u'An error occured : {0} ({1} -> {2}).'.format(
the_error, media_src_path, media_dst_path)))
try:
size = get_size(os.path.dirname(media_dst_path))
except OSError:
raise ValueError(to_bytes(u'Unable to detect size of media asset {0}.'.format(media_dst_path)))
duration = get_media_duration(media_dst_path)
if duration is None:
raise ValueError(to_bytes(u'Unable to detect duration of media asset {0}.'.format(media_dst_path)))
return (size, duration)
else:
raise NotImplementedError(to_bytes(u'FIXME Add of external URI not implemented.'))
return (0, None)
def main():
signal.signal(signal.SIGINT, lambda *args: sys.exit(0))
log = setup_log()
parser = argparse.ArgumentParser(epilog='Archive stuff on S3.')
parser.add_argument('--config', action=FullPaths, required=True, type=is_file)
parser.add_argument('--simulate', action='store_true')
parser.add_argument('--verbosity', choices=(0, 1, 2), default=0, type=int)
args = parser.parse_args()
def log_it(verbosity, level, message, **extra):
if args.verbosity >= verbosity:
extra['level'] = LEVEL_MAP[level]
getattr(log, level)(message, extra=extra)
s3 = boto3.client('s3')
log_it(1, 'info', 'Process started')
try:
with open(args.config) as config_file:
config = yaml.load(config_file)
if config['enabled']:
log_it(1, 'info', 'Its time to transfer!')
if args.simulate:
log_it(1, 'warning', 'Simulation mode enabled')
for transfer in config['transfers']:
name = transfer['name']
log_it(1, 'info', 'Handling transfer', transfer=name)
bucket = transfer['bucket']
delete = transfer['delete']
directory = transfer['directory']
prefix = transfer['prefix'].format(host_fqdn=socket.getfqdn())
processed_bytes = processed_count = skipped_bytes = skipped_count = 0
for source_path in filesystem.find_recursive(
directory,
transfer['patterns'],
unix_wildcards=False
):
target_path = os.path.join(prefix, os.path.relpath(source_path, directory))
target_obj = aws.s3.load_object_meta(s3, bucket, target_path, fail=False)
with open(source_path, 'rb') as source_file:
# Retrieve metadata from source and target
source_size = filesystem.get_size(source_path)
target_size = None if target_obj is None else target_obj['ContentLength']
target_md5 = None if target_obj is None else target_obj['ETag'].strip('"')
source_md5 = crypto.checksum(
source_path,
is_path=True,
algorithm='md5',
chunk_size=1024 * 1024)
changed = source_md5 != target_md5
log_it(
2, 'info', 'File',
transfer=name,
changed=changed,
source_md5=source_md5,
source_path=source_path,
source_size=source_size,
target_md5=target_md5,
target_path=target_path,
target_size=target_size)
if changed:
processed_bytes += source_size
processed_count += 1
else:
skipped_bytes += source_size
skipped_count += 1
if not args.simulate:
aws.s3.write_object(s3, bucket, target_path, source_file)
if delete:
filesystem.remove(source_path)
log_it(
1, 'info', 'Summary',
transfer=name,
processed_bytes=processed_bytes,
processed_count=processed_count,
skipped_bytes=skipped_bytes,
skipped_count=skipped_count)
else:
log.warning('Process is disabled')
except Exception as e:
log.exception(e)
finally:
log_it(1, 'info', 'Process ended')
def size(self):
if self._size is None:
return 0 if self.is_pipe else filesystem.get_size(self.path)
return self._size
def size(self):
if self._size is None:
return 0 if self.is_pipe else filesystem.get_size(self.path)
return self._size
def transform_task(media_in_json, media_out_json, profile_json, callback_json):
def copy_callback(start_date, elapsed_time, eta_time, src_size, dst_size, ratio):
transform_task.update_state(state=TransformTask.PROGRESS, meta={
u'hostname': request.hostname, 'start_date': start_date, u'elapsed_time': elapsed_time,
u'eta_time': eta_time, u'media_in_size': src_size, u'media_out_size': dst_size,
u'percent': int(100 * ratio)})
def transform_callback(status, measures):
data_json = object2json({u'task_id': request.id, u'status': status, u'measures': measures}, include_properties=False)
if callback is None:
print(u'{0} [ERROR] Unable to callback orchestrator: {1}'.format(request.id, data_json))
else:
r = callback.post(data_json)
print(u'{0} Code {1} {2} : {3}'.format(request.id, r.status_code, r.reason, r._content))
# ------------------------------------------------------------------------------------------------------------------
RATIO_DELTA, TIME_DELTA = 0.01, 1 # Update status if at least 1% of progress and 1 second elapsed.
MAX_TIME_DELTA = 5 # Also ensure status update every 5 seconds.
DASHCAST_TIMEOUT_TIME = 10
try:
# Avoid 'referenced before assignment'
callback = dashcast_conf = None
encoder_out, request = u'', current_task.request
# Let's the task begin !
print(u'{0} Transformation task started'.format(request.id))
# Read current configuration to translate files uri to local paths
local_config = TransformLocalConfig.read(LOCAL_CONFIG_FILENAME, inspect_constructor=False)
print(object2json(local_config, include_properties=True))
# Load and check task parameters
callback = Callback.from_json(callback_json, inspect_constructor=True)
callback.is_valid(True)
# Update callback socket according to configuration
if local_config.api_nat_socket and len(local_config.api_nat_socket) > 0:
callback.replace_netloc(local_config.api_nat_socket)
media_in = Media.from_json(media_in_json, inspect_constructor=True)
media_out = Media.from_json(media_out_json, inspect_constructor=True)
profile = TransformProfile.from_json(profile_json, inspect_constructor=True)
media_in.is_valid(True)
media_out.is_valid(True)
profile.is_valid(True)
# Verify that media file can be accessed and create output path
media_in_path = local_config.storage_medias_path(media_in, generate=False)
if not media_in_path:
raise NotImplementedError(to_bytes(u'Input media asset will not be readed from shared storage : {0}'.format(
media_in.uri)))
media_out_path = local_config.storage_medias_path(media_out, generate=True)
if not media_out_path:
raise NotImplementedError(to_bytes(u'Output media asset will not be written to shared storage : {0}'.format(
media_out.uri)))
media_in_root = dirname(media_in_path)
media_out_root = dirname(media_out_path)
try_makedirs(media_out_root)
# Get input media duration and frames to be able to estimate ETA
media_in_duration = get_media_duration(media_in_path)
# Keep potential PSNR status
measures = {}
# NOT A REAL TRANSFORM : FILE COPY -----------------------------------------------------------------------------
if profile.encoder_name == u'copy':
infos = recursive_copy(media_in_root, media_out_root, copy_callback, RATIO_DELTA, TIME_DELTA)
media_out_tmp = media_in_path.replace(media_in_root, media_out_root)
os.rename(media_out_tmp, media_out_path)
start_date = infos[u'start_date']
elapsed_time = infos[u'elapsed_time']
media_in_size = infos[u'src_size']
# A REAL TRANSFORM : TRANSCODE WITH FFMPEG ---------------------------------------------------------------------
elif profile.encoder_name == u'ffmpeg':
start_date, start_time = datetime_now(), time.time()
prev_ratio = prev_time = 0
# Get input media size to be able to estimate ETA
media_in_size = get_size(media_in_root)
# Create FFmpeg subprocess
cmd = u'ffmpeg -y -i "{0}" {1} "{2}"'.format(media_in_path, profile.encoder_string, media_out_path)
print(cmd)
ffmpeg = Popen(shlex.split(cmd), stderr=PIPE, close_fds=True)
make_async(ffmpeg.stderr)
while True:
# Wait for data to become available
select.select([ffmpeg.stderr], [], [])
chunk = ffmpeg.stderr.read()
encoder_out += chunk
elapsed_time = time.time() - start_time
match = FFMPEG_REGEX.match(chunk)
if match:
stats = match.groupdict()
media_out_duration = stats[u'time']
try:
ratio = total_seconds(media_out_duration) / total_seconds(media_in_duration)
ratio = 0.0 if ratio < 0.0 else 1.0 if ratio > 1.0 else ratio
except ZeroDivisionError:
ratio = 1.0
delta_time = elapsed_time - prev_time
if (ratio - prev_ratio > RATIO_DELTA and delta_time > TIME_DELTA) or delta_time > MAX_TIME_DELTA:
prev_ratio, prev_time = ratio, elapsed_time
eta_time = int(elapsed_time * (1.0 - ratio) / ratio) if ratio > 0 else 0
transform_task.update_state(
state=TransformTask.PROGRESS,
meta={u'hostname': request.hostname,
u'start_date': start_date,
u'elapsed_time': elapsed_time,
u'eta_time': eta_time,
u'media_in_size': media_in_size,
u'media_in_duration': media_in_duration,
u'media_out_size': get_size(media_out_root),
u'media_out_duration': media_out_duration,
u'percent': int(100 * ratio),
u'encoding_frame': stats[u'frame'],
u'encoding_fps': stats[u'fps'],
u'encoding_bitrate': stats[u'bitrate'],
u'encoding_quality': stats[u'q']})
returncode = ffmpeg.poll()
if returncode is not None:
break
# FFmpeg output sanity check
if returncode != 0:
raise OSError(to_bytes(u'FFmpeg return code is {0}, encoding probably failed.'.format(returncode)))
# compute stats about the video
measures['psnr'] = get_media_psnr(media_in_path, media_out_path)
measures['ssim'] = get_media_ssim(media_in_path, media_out_path)
# measures of the data and its metadata
measures['bitrate'] = get_media_bitrate(media_out_path)
# FIXME: fake git url, commit
measures['git_url'] = 'https://github.com/videolan/x265'
measures['git_commit'] = 'd2051f9544434612a105d2f5267db23018cb3454'
# Output media file sanity check
# media_out_duration = get_media_duration(media_out_path)
# if total_seconds(media_out_duration) / total_seconds(media_in_duration) > 1.5 or < 0.8:
# salut
elif profile.encoder_name == u'from_git':
start_date, start_time = datetime_now(), time.time()
prev_ratio = prev_time = 0
# Get input media size to be able to estimate ETA
media_in_size = get_size(media_in_root)
metadata = media_out.metadata
dirpath = tempfile.mkdtemp()
prepare_cmd = u'git clone --depth=1 "{0}" "{1}" && cd "{1}" && git checkout "{2}" && {3}'.format(metadata['git_url'], dirpath, metadata['git_commit'], metadata['build_cmds'])
check_call(prepare_cmd, shell=True)
# Templated parameter
encoder_string = profile.encoder_string.replace(u"BITRATE", str(metadata['input_bitrate']))
cmd = u'cd "{0}" && ffmpeg -y -i "{1}" -f yuv4mpegpipe - | {2} "{3}"'.format(dirpath, media_in_path, encoder_string, media_out_path)
returncode = call(cmd, shell=True)
if returncode != 0:
raise OSError(to_bytes(u'Encoding return code is {0}, encoding probably failed.'.format(returncode)))
# compute stats about the video
measures['psnr'] = get_media_psnr(media_in_path, media_out_path)
measures['ssim'] = get_media_ssim(media_in_path, media_out_path)
# measures of the data and its metadata
measures['bitrate'] = get_media_bitrate(media_out_path)
# FIXME: don't put this in measures
measures['git_url'] = metadata['git_url']
measures['git_commit'] = metadata['git_commit']
# A REAL TRANSFORM : TRANSCODE WITH DASHCAST -------------------------------------------------------------------
elif profile.encoder_name == u'dashcast':
start_date, start_time = datetime_now(), time.time()
prev_ratio = prev_time = 0
# Get input media size and frames to be able to estimate ETA
media_in_size = get_size(media_in_root)
try:
media_in_frames = int(get_media_tracks(media_in_path)[u'video'][u'0:0'][u'estimated_frames'])
media_out_frames = 0
except:
raise ValueError(to_bytes(u'Unable to estimate # frames of input media asset'))
# Create DashCast configuration file and subprocess
dashcast_conf = u'dashcast_{0}.conf'.format(uuid.uuid4())
with open(dashcast_conf, u'w', u'utf-8') as f:
f.write(profile.dash_config)
cmd = u'DashCast -conf {0} -av "{1}" {2} -out "{3}" -mpd "{4}"'.format(
dashcast_conf, media_in_path, profile.dash_options, media_out_root, media_out.filename)
print(cmd)
dashcast = Popen(shlex.split(cmd), stdout=PIPE, stderr=PIPE, close_fds=True)
make_async(dashcast.stdout.fileno())
make_async(dashcast.stderr.fileno())
while True:
# Wait for data to become available
select.select([dashcast.stdout.fileno()], [], [])
stdout, stderr = read_async(dashcast.stdout), read_async(dashcast.stderr)
elapsed_time = time.time() - start_time
match = DASHCAST_REGEX.match(stdout)
if match:
stats = match.groupdict()
media_out_frames = int(stats[u'frame'])
try:
ratio = float(media_out_frames) / media_in_frames
ratio = 0.0 if ratio < 0.0 else 1.0 if ratio > 1.0 else ratio
except ZeroDivisionError:
ratio = 1.0
delta_time = elapsed_time - prev_time
if (ratio - prev_ratio > RATIO_DELTA and delta_time > TIME_DELTA) or delta_time > MAX_TIME_DELTA:
prev_ratio, prev_time = ratio, elapsed_time
eta_time = int(elapsed_time * (1.0 - ratio) / ratio) if ratio > 0 else 0
transform_task.update_state(
state=TransformTask.PROGRESS,
meta={u'hostname': request.hostname,
u'start_date': start_date,
u'elapsed_time': elapsed_time,
u'eta_time': eta_time,
u'media_in_size': media_in_size,
u'media_in_duration': media_in_duration,
u'media_out_size': get_size(media_out_root),
u'percent': int(100 * ratio),
u'encoding_frame': media_out_frames})
match = DASHCAST_SUCCESS_REGEX.match(stdout)
returncode = dashcast.poll()
if returncode is not None or match:
encoder_out = u'stdout: {0}\nstderr: {1}'.format(stdout, stderr)
break
if media_out_frames == 0 and elapsed_time > DASHCAST_TIMEOUT_TIME:
encoder_out = u'stdout: {0}\nstderr: {1}'.format(stdout, stderr)
raise OSError(to_bytes(u'DashCast does not output frame number, encoding probably failed.'))
# DashCast output sanity check
if not exists(media_out_path):
raise OSError(to_bytes(u'Output media asset not found, DashCast encoding probably failed.'))
if returncode != 0:
raise OSError(to_bytes(u'DashCast return code is {0}, encoding probably failed.'.format(returncode)))
# FIXME check duration too !
# Here all seem okay -------------------------------------------------------------------------------------------
elapsed_time = time.time() - start_time
media_out_size = get_size(media_out_root)
media_out_duration = get_media_duration(media_out_path)
print(u'{0} Transformation task successful, output media asset {1}'.format(request.id, media_out.filename))
transform_callback(TransformTask.SUCCESS, measures)
return {u'hostname': request.hostname, u'start_date': start_date, u'elapsed_time': elapsed_time,
u'eta_time': 0, u'media_in_size': media_in_size, u'media_in_duration': media_in_duration,
u'media_out_size': media_out_size, u'media_out_duration': media_out_duration, u'percent': 100 }
except Exception as error:
# Here something went wrong
print(u'{0} Transformation task failed '.format(request.id))
transform_callback(u'ERROR\n{0}\n\nOUTPUT\n{1}'.format(unicode(error), encoder_out), {})
raise
finally:
if dashcast_conf:
try_remove(dashcast_conf)
def transform_task(media_in_json, media_out_json, profile_json, callback_json):
def copy_callback(start_date, elapsed_time, eta_time, src_size, dst_size, ratio):
transform_task.update_state(
state=TransformTask.PROGRESS,
meta={
"hostname": request.hostname,
"start_date": start_date,
"elapsed_time": elapsed_time,
"eta_time": eta_time,
"media_in_size": src_size,
"media_out_size": dst_size,
"percent": int(100 * ratio),
},
)
def transform_callback(status):
data_json = object2json({"task_id": request.id, "status": status}, include_properties=False)
if callback is None:
print("{0} [ERROR] Unable to callback orchestrator: {1}".format(request.id, data_json))
else:
r = callback.post(data_json)
print("{0} Code {1} {2} : {3}".format(request.id, r.status_code, r.reason, r._content))
# ------------------------------------------------------------------------------------------------------------------
RATIO_DELTA, TIME_DELTA = 0.01, 1 # Update status if at least 1% of progress and 1 second elapsed.
MAX_TIME_DELTA = 5 # Also ensure status update every 5 seconds.
DASHCAST_TIMEOUT_TIME = 10
try:
# Avoid 'referenced before assignment'
callback = dashcast_conf = None
encoder_out, request = "", current_task.request
# Let's the task begin !
print("{0} Transformation task started".format(request.id))
# Read current configuration to translate files uri to local paths
local_config = TransformLocalConfig.read(LOCAL_CONFIG_FILENAME, inspect_constructor=False)
print(object2json(local_config, include_properties=True))
# Load and check task parameters
callback = Callback.from_json(callback_json, inspect_constructor=True)
callback.is_valid(True)
# Update callback socket according to configuration
if local_config.api_nat_socket and len(local_config.api_nat_socket) > 0:
callback.replace_netloc(local_config.api_nat_socket)
media_in = Media.from_json(media_in_json, inspect_constructor=True)
media_out = Media.from_json(media_out_json, inspect_constructor=True)
profile = TransformProfile.from_json(profile_json, inspect_constructor=True)
media_in.is_valid(True)
media_out.is_valid(True)
profile.is_valid(True)
# Verify that media file can be accessed and create output path
media_in_path = local_config.storage_medias_path(media_in, generate=False)
if not media_in_path:
raise NotImplementedError(
to_bytes("Input media asset will not be readed from shared storage : {0}".format(media_in.uri))
)
media_out_path = local_config.storage_medias_path(media_out, generate=True)
if not media_out_path:
raise NotImplementedError(
to_bytes("Output media asset will not be written to shared storage : {0}".format(media_out.uri))
)
media_in_root = dirname(media_in_path)
media_out_root = dirname(media_out_path)
try_makedirs(media_out_root)
# Get input media duration and frames to be able to estimate ETA
media_in_duration = get_media_duration(media_in_path)
# NOT A REAL TRANSFORM : FILE COPY -----------------------------------------------------------------------------
if profile.encoder_name == "copy":
infos = recursive_copy(media_in_root, media_out_root, copy_callback, RATIO_DELTA, TIME_DELTA)
media_out_tmp = media_in_path.replace(media_in_root, media_out_root)
os.rename(media_out_tmp, media_out_path)
start_date = infos["start_date"]
elapsed_time = infos["elapsed_time"]
media_in_size = infos["src_size"]
# A REAL TRANSFORM : TRANSCODE WITH FFMPEG ---------------------------------------------------------------------
elif profile.encoder_name == "ffmpeg":
start_date, start_time = datetime_now(), time.time()
prev_ratio = prev_time = 0
# Get input media size to be able to estimate ETA
media_in_size = get_size(media_in_root)
# Create FFmpeg subprocess
cmd = 'ffmpeg -y -i "{0}" {1} "{2}"'.format(media_in_path, profile.encoder_string, media_out_path)
print(cmd)
ffmpeg = Popen(shlex.split(cmd), stderr=PIPE, close_fds=True)
make_async(ffmpeg.stderr)
while True:
# Wait for data to become available
select.select([ffmpeg.stderr], [], [])
chunk = ffmpeg.stderr.read()
encoder_out += chunk
elapsed_time = time.time() - start_time
match = FFMPEG_REGEX.match(chunk)
if match:
stats = match.groupdict()
media_out_duration = stats["time"]
try:
ratio = total_seconds(media_out_duration) / total_seconds(media_in_duration)
ratio = 0.0 if ratio < 0.0 else 1.0 if ratio > 1.0 else ratio
except ZeroDivisionError:
ratio = 1.0
delta_time = elapsed_time - prev_time
if (ratio - prev_ratio > RATIO_DELTA and delta_time > TIME_DELTA) or delta_time > MAX_TIME_DELTA:
prev_ratio, prev_time = ratio, elapsed_time
eta_time = int(elapsed_time * (1.0 - ratio) / ratio) if ratio > 0 else 0
transform_task.update_state(
state=TransformTask.PROGRESS,
meta={
"hostname": request.hostname,
"start_date": start_date,
"elapsed_time": elapsed_time,
"eta_time": eta_time,
"media_in_size": media_in_size,
"media_in_duration": media_in_duration,
"media_out_size": get_size(media_out_root),
"media_out_duration": media_out_duration,
"percent": int(100 * ratio),
"encoding_frame": stats["frame"],
"encoding_fps": stats["fps"],
"encoding_bitrate": stats["bitrate"],
"encoding_quality": stats["q"],
},
)
returncode = ffmpeg.poll()
if returncode is not None:
break
# FFmpeg output sanity check
if returncode != 0:
raise OSError(to_bytes("FFmpeg return code is {0}, encoding probably failed.".format(returncode)))
# Output media file sanity check
# media_out_duration = get_media_duration(media_out_path)
# if total_seconds(media_out_duration) / total_seconds(media_in_duration) > 1.5 or < 0.8:
# salut
# A REAL TRANSFORM : TRANSCODE WITH DASHCAST -------------------------------------------------------------------
elif profile.encoder_name == "dashcast":
start_date, start_time = datetime_now(), time.time()
prev_ratio = prev_time = 0
# Get input media size and frames to be able to estimate ETA
media_in_size = get_size(media_in_root)
try:
media_in_frames = int(get_media_tracks(media_in_path)["video"]["0:0"]["estimated_frames"])
media_out_frames = 0
except:
raise ValueError(to_bytes("Unable to estimate # frames of input media asset"))
# Create DashCast configuration file and subprocess
dashcast_conf = "dashcast_{0}.conf".format(uuid.uuid4())
with open(dashcast_conf, "w", "utf-8") as f:
f.write(profile.dash_config)
cmd = 'DashCast -conf {0} -av "{1}" {2} -out "{3}" -mpd "{4}"'.format(
dashcast_conf, media_in_path, profile.dash_options, media_out_root, media_out.filename
)
print(cmd)
dashcast = Popen(shlex.split(cmd), stdout=PIPE, stderr=PIPE, close_fds=True)
make_async(dashcast.stdout.fileno())
make_async(dashcast.stderr.fileno())
while True:
# Wait for data to become available
select.select([dashcast.stdout.fileno()], [], [])
stdout, stderr = read_async(dashcast.stdout), read_async(dashcast.stderr)
elapsed_time = time.time() - start_time
match = DASHCAST_REGEX.match(stdout)
if match:
stats = match.groupdict()
media_out_frames = int(stats["frame"])
try:
ratio = float(media_out_frames) / media_in_frames
ratio = 0.0 if ratio < 0.0 else 1.0 if ratio > 1.0 else ratio
except ZeroDivisionError:
ratio = 1.0
delta_time = elapsed_time - prev_time
if (ratio - prev_ratio > RATIO_DELTA and delta_time > TIME_DELTA) or delta_time > MAX_TIME_DELTA:
prev_ratio, prev_time = ratio, elapsed_time
eta_time = int(elapsed_time * (1.0 - ratio) / ratio) if ratio > 0 else 0
transform_task.update_state(
state=TransformTask.PROGRESS,
meta={
"hostname": request.hostname,
"start_date": start_date,
"elapsed_time": elapsed_time,
"eta_time": eta_time,
"media_in_size": media_in_size,
"media_in_duration": media_in_duration,
"media_out_size": get_size(media_out_root),
"percent": int(100 * ratio),
"encoding_frame": media_out_frames,
},
)
match = DASHCAST_SUCCESS_REGEX.match(stdout)
returncode = dashcast.poll()
if returncode is not None or match:
encoder_out = "stdout: {0}\nstderr: {1}".format(stdout, stderr)
break
if media_out_frames == 0 and elapsed_time > DASHCAST_TIMEOUT_TIME:
encoder_out = "stdout: {0}\nstderr: {1}".format(stdout, stderr)
raise OSError(to_bytes("DashCast does not output frame number, encoding probably failed."))
# DashCast output sanity check
if not exists(media_out_path):
raise OSError(to_bytes("Output media asset not found, DashCast encoding probably failed."))
if returncode != 0:
raise OSError(to_bytes("DashCast return code is {0}, encoding probably failed.".format(returncode)))
# FIXME check duration too !
# Here all seem okay -------------------------------------------------------------------------------------------
media_out_size = get_size(media_out_root)
media_out_duration = get_media_duration(media_out_path)
print("{0} Transformation task successful, output media asset {1}".format(request.id, media_out.filename))
transform_callback(TransformTask.SUCCESS)
return {
"hostname": request.hostname,
"start_date": start_date,
"elapsed_time": elapsed_time,
"eta_time": 0,
"media_in_size": media_in_size,
"media_in_duration": media_in_duration,
"media_out_size": media_out_size,
"media_out_duration": media_out_duration,
"percent": 100,
}
except Exception as error:
# Here something went wrong
print("{0} Transformation task failed ".format(request.id))
transform_callback("ERROR\n{0}\n\nOUTPUT\n{1}".format(unicode(error), encoder_out))
raise
finally:
if dashcast_conf:
try_remove(dashcast_conf)
