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run-all.py
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run-all.py
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#!/usr/bin/env python3
import subprocess
import os
import csv
import os.path
import sys
import json
import pysftp
from fractions import Fraction
################################################################################
# This file implements dpctf-s00001-v033-WAVE-DPC-v1.21
# and uses releases/4/ mezzanine.
################################################################################
gpac_executable = "/opt/bin/gpac -strict-error"
# NB: dry_run generates a local json database
dry_run = False
# Output file structure: <media_type>_sets/<sub_media_type (frame_rate_family|audio_codec)>/<stream_id>/<upload_date> e.g.
# cfhd_sets/15_30_60/ss1/2021-10-22/
# caac_sets/aac_lc/at1/2021-12-04/
# caaa_sets/he_aac_v2/at1/2021-12-04/
#
# More at https://github.com/cta-wave/dpctf-tests/issues/59
# Current subfolder
batch_folder = "2023-09-01/"
# Mezzanine characteristics:
class InputContent:
def __init__(self, content, root_folder, fps_family, fps):
self.content = content
self.root_folder = root_folder
self.fps_family = fps_family # video: frame_rate_family ; audio: audio_codec
# Video only
self.fps = fps
if len(sys.argv) < 2:
print("Usage: " + sys.argv[0] + " input_csv")
exit(1)
input_csv = sys.argv[1]
inputs = [
# Comment or uncomment manually TODO: this should be a parameter
# Video
InputContent("croatia", "content_files/releases/4/", "12.5_25_50", Fraction(50)),
InputContent("tos", "content_files/releases/4/", "15_30_60", Fraction(60)),
InputContent("tos", "content_files/releases/4/", "14.985_29.97_59.94", Fraction(60000, 1001)),
# Audio
#TODO: replace with http://dash-large-files.akamaized.net/WAVE/Mezzanine/under_review/2022-04-01/ when validated
#InputContent("tos", "content_files/2022-04-21/", "AAC-LC", Fraction(60000, 1001)),
#InputContent("", "content_files/dts_wave/dtsc/", "dtsc", Fraction(50)),
#InputContent("", "content_files/dts_wave/dtse/", "dtse", Fraction(50)),
#InputContent("", "content_files/dts_wave/dtsx/", "dtsx", Fraction(50)),
]
profiles_type = {
"cfhd": "video",
"chdf": "video",
"chh1": "video",
"caac": "audio",
"dts1": "audio",
"dts2": "audio",
"cenc": "encrypted"
}
# Used for computing folder names only
framerates = [12.5, 25, 50, 15, 30, 60, 14.985, 29.97, 59.94, 23.976]
# Output parameters
local_output_folder = "./output"
server_output_folder = "/129021/dash/WAVE/vectors/"
# Web database to be exported
server_access_url = "https://dash.akamaized.net/WAVE/vectors/"
database_filepath = './database.json'
database = { }
for profile in profiles_type:
database[profile.upper()] = { }
# Generate CMAF content: encode, package (CMAF), generate manifest, and encrypt
for input in inputs:
copyright_notice = ""
source_notice = ""
title_notice = ""
with open(input_csv) as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
csv_line_index = 0
for row in csv_reader:
if row[0] == "Stream ID":
continue;
# Decide which stream to process based on the media type and the WAVE media profile
wave_profile = row[13]
if profiles_type[wave_profile] == "video":
if row[0][0] == 'a':
continue;
if row[0][0].isdigit():
stream_id = "{0}{1}".format("t", row[0])
else:
stream_id = row[0]
else:
if row[0][0] != 'a':
continue;
stream_id = row[0]
cmaf_profile = "avchd"
if wave_profile == "cfhd":
codec = "h264"
cmaf_profile = "avchd"
elif wave_profile == "chdf":
codec = "h264"
cmaf_profile = "avchdhf"
elif wave_profile == "chh1":
codec = "h265"
cmaf_profile = "chh1"
elif wave_profile == "caac":
codec = "aac"
cmaf_profile = "caac"
else:
codec = "copy"
cmaf_profile = wave_profile
output_folder_base = "{0}_sets/{1}".format(wave_profile, input.fps_family)
output_folder_complete = "{0}/{1}".format(local_output_folder, output_folder_base)
# Count index for index-based processing (e.g. CENC)
csv_line_index = csv_line_index + 1
test_stream_folder_suffix = stream_id + "/" + batch_folder
test_stream_folder = "{0}/{1}".format(output_folder_complete, test_stream_folder_suffix)
output_test_stream_folder = "{0}/{1}".format(output_folder_base, test_stream_folder_suffix)
server_test_stream_access_url = server_access_url + output_test_stream_folder
print("===== Processing test stream " + test_stream_folder + " =====")
# 0: Stream ID, 1: mezzanine radius, 2: pic timing SEI, 3: VUI timing, 4: sample entry,
# 5: CMAF frag dur, 6: init constraints, 7: frag_type, 8: resolution, 9: framerate,
# 10: bitrate, 11: duration
fps = min(framerates, key=lambda x:abs(x-float(row[9])*input.fps))
input_basename = ""
if profiles_type[wave_profile] == "video":
input_basename = "{0}_{1}@{2}_{3}".format(input.content, row[1], fps, row[11])
else:
input_basename = "{0}{1}".format(input.content, row[1])
input_filename = input_basename + ".mp4"
seg_dur = Fraction(row[5])
if input.fps.denominator == 1001:
seg_dur = Fraction(row[5]) * Fraction(1001, 1000)
reps = [{"resolution": row[8], "framerate": fps, "bitrate": row[10], "input": input_filename}]
filename_v = input.root_folder + input_filename
reps_command = "id:{0},type:{1},codec:{2},vse:{3},cmaf:{4},fps:{5}/{6},res:{7},bitrate:{8},input:\"{9}\",pic_timing:{10},vui_timing:{11},sd:{12},bf:{13}"\
.format(row[0], profiles_type[wave_profile], codec, row[4], cmaf_profile, int(float(row[9])*input.fps.numerator), input.fps.denominator, row[8], row[10],
filename_v, row[2].capitalize(), row[3].capitalize(), str(seg_dur), row[7])
#if row[1].find(row[8]) == -1:
# mezzanine_par = row[1].split('_')[1].split('x')
# encoding_par = row[8].split('x')
# reps_command += ",sar:" + str(int(mezzanine_par[0])*int(encoding_par[1])) + "/" + str(int(mezzanine_par[1])*int(encoding_par[0]))
# Finalize one-AdaptationSet formatting
reps_command = "--reps=" + reps_command
# Extract copyright
annotation_filename = input.root_folder + input_basename + ".json"
if not os.path.exists(annotation_filename):
print("Annotation file \"" + annotation_filename + "\" not found. Skipping entry.")
continue
with open(annotation_filename, 'r') as annotations:
data = annotations.read()
copyright_notice = json.loads(data)["Mezzanine"]["license"]
source_notice = "" + json.loads(data)["Mezzanine"]["name"] + " version " + str(json.loads(data)["Mezzanine"]["version"]) + " (" + json.loads(data)["Mezzanine"]["creation_date"] + ")"
if profiles_type[wave_profile] == "video":
title_notice = "{0}, {1}, {2}fps, {3}, Test Vector {4}".format(input.content, row[8], float(row[9])*input.fps.numerator/input.fps.denominator, wave_profile, row[0])
else:
title_notice = "{0}, Test Vector {1}".format(wave_profile, row[0])
# Web exposed information
database[wave_profile.upper()][output_test_stream_folder] = {
'source': source_notice,
'representations': reps,
'segmentDuration': str(seg_dur),
'fragmentType': row[7],
'hasSEI': row[2].lower() == 'true',
'hasVUITiming': row[3].lower() == 'true',
'visualSampleEntry': row[4],
'mpdPath': '{0}stream.mpd'.format(server_test_stream_access_url),
'zipPath': '{0}{1}.zip'.format(server_test_stream_access_url, stream_id)
}
# Encode, package, and manifest generation (DASH-only)
command = "./encode_dash.py --path=/opt/bin/gpac --out=stream.mpd --outdir={0} --dash=sd:{1},fd:{1},ft:{2},fr:{3}:cmaf={4} --copyright='{5}' --source='{6}' --title='{7}' --profile={8} {9}"\
.format(test_stream_folder, seg_dur, row[7], input.fps, row[12], copyright_notice, source_notice, title_notice, wave_profile, reps_command)
print("Executing " + command)
if dry_run == False:
result = subprocess.run(command, shell=True)
# Create unencrypted archive
command = "zip -r " + output_test_stream_folder + stream_id + ".zip " + output_test_stream_folder + "*"
print("Executing " + command + " (cwd=" + local_output_folder + ")")
if dry_run == False:
result = subprocess.run(command, shell=True, cwd=local_output_folder)
print("")
# Special case for first encoding: create side CENC streams
if csv_line_index == 1:
output_test_stream_folder_cenc = "{0}/{1}-cenc/{2}".format(output_folder_base, stream_id, batch_folder)
command = gpac_executable + " -i " + output_test_stream_folder + "stream.mpd:forward=mani cecrypt:cfile=" + sys.path[0] + "/DRM.xml @ -o " + output_test_stream_folder_cenc + "stream.mpd:pssh=mv"
print("Executing " + command + " (cwd=" + local_output_folder + ")")
if dry_run == False:
result = subprocess.run(command, shell=True, cwd=local_output_folder)
# Web exposed information
server_test_stream_access_url_cenc = server_access_url + output_test_stream_folder_cenc
database["CENC"][output_test_stream_folder_cenc] = {
'source': source_notice,
'representations': reps,
'segmentDuration': str(seg_dur),
'fragmentType': row[7],
'hasSEI': row[2].lower() == 'true',
'hasVUITiming': row[3].lower() == 'true',
'visualSampleEntry': row[4],
'mpdPath': '{0}stream.mpd'.format(server_test_stream_access_url_cenc),
'zipPath': '{0}{1}.zip'.format(server_test_stream_access_url_cenc, stream_id + "-cenc")
}
# Create CENC archive
command = "zip -r " + output_test_stream_folder_cenc + stream_id + "-cenc.zip " + output_test_stream_folder_cenc + "*"
print("Executing " + command + " (cwd=" + local_output_folder + ")")
if dry_run == False:
result = subprocess.run(command, shell=True, cwd=local_output_folder)
print("")
print("")
# Write Web exposed information
with open(database_filepath, 'w') as outfile:
json.dump(database, outfile)
if dry_run == True:
exit(1)
# SFTP
host = "dashstorage.upload.akamai.com"
username = "sshacs"
cnopts = pysftp.CnOpts(knownhosts=host)
cnopts.hostkeys = None
with pysftp.Connection(host=host, username=username, private_key=os.path.expanduser(os.environ['AKAMAI_PRIVATE_KEY']), cnopts=cnopts) as sftp:
print("Connection successfully established ... ")
# Switch to a remote directory
sftp.cwd(server_output_folder)
# Create the directory structure if it does not exist
for root, dirs, files in os.walk(local_output_folder, topdown=True):
for name in dirs:
p = os.path.join(root ,name).replace(local_output_folder, server_output_folder + output_folder_base)
if not sftp.isfile(p):
print("Creating directory " + p)
if dry_run == False:
sftp.mkdir(p, mode=644)
# Put the files
for root, dirs, files in os.walk(local_output_folder, topdown=True):
for name in files:
dest = os.path.join(root ,name).replace(local_output_folder, server_output_folder + output_folder_base)
print("Upload file " + os.path.join(root ,name) + " to " + dest)
if dry_run == False:
sftp.put(os.path.join(root ,name), dest, callback=lambda x,y: print("{} transferred out of {}".format(x,y)))