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• Video encoding task not working with Django Celery Redis FFMPEG and GraphQL

  18 juin 2023, par phanio

  I'm having a hard time trying to understand how is this FFMPEG encoding works while using Django, Celery, Redis, GraphQL and Docker too.

  


  I have this video / courses platform project and want I'm trying to do using FFMPEG, Celery and Redis is to create different video resolutions so I can display them the way Youtube does inside the videoplayer ( the videoplayer is handled in frontend by Nextjs and Apollo Client ), now on the backend I've just learned that in order to use properly the FFMPEG to resize the oridinal video size, I need to use Celery and Redis to perform asyncronus tasks. I've found a few older posts here on stackoverflow and google, but is not quite enough info for someone who is using the ffmpeg and clery and redis for the first time ( I've started already step by step and created that example that adds two numbers together with celery, that works well ). Now I'm not sure what is wrong with my code, because first of all I'm not really sure where should I trigger the task from, I mean from which file, because at the end of the task I want to send the data through api using GrapQL Strawberry.

  


  This is what I've tried by now :

  


  So first things first my project structure looks like this

  


  - backend #root directory
 --- backend
    -- __init__.py
    -- celery.py
    -- settings.py
    -- urls.py
      etc..

 --- static
   -- videos

 --- video
   -- models.py
   -- schema.py
   -- tasks.py
   -- types.py
   etc..

 --- .env

 --- db.sqlite3

 --- docker-compose.yml

 --- Dockerfile

 --- manage.py

 --- requirements.txt


  


  here is my settings.py file :

  


  from pathlib import Path
import os

# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent

DEBUG = True

ALLOWED_HOSTS=["localhost", "0.0.0.0", "127.0.0.1"]

DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'


# Application definition

INSTALLED_APPS = [
    "corsheaders",
    'django.contrib.admin',
    'django.contrib.auth',
    'django.contrib.contenttypes',
    'django.contrib.sessions',
    'django.contrib.messages',
    'django.contrib.staticfiles',

    "strawberry.django",
    "video"
]

etc...

STATIC_URL = '/static/'
MEDIA_URL = '/videos/'

STATICFILES_DIRS = [
    BASE_DIR / 'static',
    # BASE_DIR / 'frontend/build/static',
]

MEDIA_ROOT = BASE_DIR / 'static/videos'

STATIC_ROOT = BASE_DIR / 'staticfiles'

STATICFILES_STORAGE = 'whitenoise.storage.CompressedManifestStaticFilesStorage'

CORS_ALLOW_ALL_ORIGINS = True


CELERY_BEAT_SCHEDULER = 'django_celery_beat.schedulers:DatabaseScheduler'

# REDIS CACHE
CACHES = {
    "default": {
        "BACKEND": "django_redis.cache.RedisCache",
        "LOCATION": f"redis://127.0.0.1:6379/1",
        "OPTIONS": {
            "CLIENT_CLASS": "django_redis.client.DefaultClient",
        },
    }
}

# Docker
CELERY_BROKER_URL = os.environ.get("CELERY_BROKER", "redis://redis:6379/0")
CELERY_RESULT_BACKEND = os.environ.get("CELERY_BROKER", "redis://redis:6379/0")


  


  This is my main urls.py file :

  


  from django.contrib import admin
from django.conf import settings
from django.conf.urls.static import static
from django.urls import path
from django.urls.conf import include
from strawberry.django.views import GraphQLView

from video.schema import schema

urlpatterns = [
    path('admin/', admin.site.urls),
    path("graphql", GraphQLView.as_view(schema=schema)),
]

if settings.DEBUG:
    urlpatterns += static(settings.MEDIA_URL,
                          document_root=settings.MEDIA_ROOT)
    urlpatterns += static(settings.STATIC_URL,
                          document_root=settings.STATIC_ROOT)


  


  This is my celery.py file :

  


  from __future__ import absolute_import, unicode_literals
import os
from celery import Celery
from django.conf import settings

os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'backend.settings')

backend = Celery('backend')

backend.config_from_object('django.conf:settings', namespace="CELERY")

backend.autodiscover_tasks()

@backend.task(bind=True)
def debug_task(self):
    print('Request: {0!r}'.format(self.request))


  


  This is my init.py file :

  


  from .celery import backend as celery_backend

__all__ = ('celery_backend',)


  


  This is my Dockerfile :

  


  FROM python:3
ENV PYTHONUNBUFFERED=1

WORKDIR /usr/src/backend

RUN apt-get -y update
RUN apt-get -y upgrade
RUN apt-get install -y ffmpeg

COPY requirements.txt ./
RUN pip install -r requirements.txt


  


  This is my docker-compose.yml file :

  


  version: "3.8"

services:
  django:
    build: .
    container_name: django
    command: python manage.py runserver 0.0.0.0:8000
    volumes:
      - .:/usr/src/backend/
    ports:
      - "8000:8000"
    environment:
      - DEBUG=1
      - DJANGO_ALLOWED_HOSTS=localhost 127.0.0.1 [::1]
      - CELERY_BROKER=redis://redis:6379/0
      - CELERY_BACKEND=redis://redis:6379/0
    depends_on:
      - pgdb
      - redis

  celery:
    build: .
    command: celery -A backend worker -l INFO
    volumes:
      - .:/usr/src/backend
    depends_on:
      - django
      - redis

  pgdb:
    image: postgres
    container_name: pgdb
    environment:
      - POSTGRES_DB=postgres
      - POSTGRES_USER=postgres
      - POSTGRES_PASSWORD=postgres
    volumes:
      - pgdata:/var/lib/postgresql/data/

  redis:
    image: "redis:alpine"

volumes:
  pgdata:


  


  And now inside my video app folder :

  


  My models.py file :

  


  

  • here I've created separated fields for all resolution sizes, from video_file_2k to video_file_144, I was thinking that maybe after the process of the encoding this will populate those fields..

  


  


  from django.db import models
from django.urls import reverse


class Video(models.Model):
    video_id = models.AutoField(primary_key=True, editable=False)
    slug = models.SlugField(max_length=255)
    title = models.CharField(max_length=150, blank=True, null=True)
    description = models.TextField(blank=True, null=True)
    video_file = models.FileField(null=False, blank=False)
    video_file_2k = models.FileField(null=True, blank=True)
    video_file_fullhd = models.FileField(null=True, blank=True)
    video_file_hd = models.FileField(null=True, blank=True)
    video_file_480 = models.FileField(null=True, blank=True)
    video_file_360 = models.FileField(null=True, blank=True)
    video_file_240 = models.FileField(null=True, blank=True)
    video_file_144 = models.FileField(null=True, blank=True)
    category = models.CharField(max_length=64, blank=False, null=False)
    created_at = models.DateTimeField(
        ("Created at"), auto_now_add=True, editable=False)
    updated_at = models.DateTimeField(("Updated at"), auto_now=True)

    class Meta:
        ordering = ("-created_at",)
        verbose_name = ("Video")
        verbose_name_plural = ("Videos")

    def get_absolute_url(self):
        return reverse("store:video_detail", args=[self.slug])

    def __str__(self):
        return self.title


  


  This is my schema.py file :

  


  import strawberry
from strawberry.file_uploads import Upload
from typing import List
from .types import VideoType
from .models import Video
from .tasks import task_video_encoding_1080p, task_video_encoding_720p


@strawberry.type
class Query:
    @strawberry.field
    def videos(self, category: str = None) -> List[VideoType]:
        if category:
            videos = Video.objects.filter(category=category)
            return videos
        return Video.objects.all()

    @strawberry.field
    def video(self, slug: str) -> VideoType:
        if slug == slug:
            video = Video.objects.get(slug=slug)
            return video

    @strawberry.field
    def video_by_id(self, video_id: int) -> VideoType:
        if video_id == video_id:
            video = Video.objects.get(pk=video_id)

          # Here I've tried to trigger my tasks, when I visited 0.0.0.0:8000/graphql url
          # and I was querying for a video by it's id , then I've got the error from celery 
            task_video_encoding_1080p.delay(video_id)
            task_video_encoding_720p.delay(video_id)

            return video


@strawberry.type
class Mutation:
    @strawberry.field
    def create_video(self, slug: str, title: str, description: str, video_file: Upload, video_file_2k: str, video_file_fullhd: str, video_file_hd: str, video_file_480: str, video_file_360: str, video_file_240: str, video_file_144: str, category: str) -> VideoType:

        video = Video(slug=slug, title=title, description=description,
                      video_file=video_file, video_file_2k=video_file_2k, video_file_fullhd=video_file_fullhd, video_file_hd=video_file_hd, video_file_480=video_file_480, video_file_360=video_file_360, video_file_240=video_file_240, video_file_144=video_file_144,category=category)
        
        video.save()
        return video

    @strawberry.field
    def update_video(self, video_id: int, slug: str, title: str, description: str, video_file: str, category: str) -> VideoType:
        video = Video.objects.get(video_id=video_id)
        video.slug = slug
        video.title = title
        video.description = description
        video.video_file = video_file
        video.category = category
        video.save()
        return video

    @strawberry.field
    def delete_video(self, video_id: int) -> bool:
        video = Video.objects.get(video_id=video_id)
        video.delete
        return True


schema = strawberry.Schema(query=Query, mutation=Mutation)


  


  This is my types.py file ( strawberry graphql related ) :

  


  import strawberry

from .models import Video


@strawberry.django.type(Video)
class VideoType:
    video_id: int
    slug: str
    title: str
    description: str
    video_file: str
    video_file_2k: str
    video_file_fullhd: str
    video_file_hd: str
    video_file_480: str
    video_file_360: str
    video_file_240: str
    video_file_144: str
    category: str


  


  And this is my tasks.py file :

  


  from __future__ import absolute_import, unicode_literals
import os, subprocess
from django.conf import settings
from django.core.exceptions import ValidationError
from celery import shared_task
from celery.utils.log import get_task_logger
from .models import Video
FFMPEG_PATH = os.environ["IMAGEIO_FFMPEG_EXE"] = "/opt/homebrew/Cellar/ffmpeg/6.0/bin/ffmpeg"

logger = get_task_logger(__name__)


# CELERY TASKS
@shared_task
def add(x,y):
    return x + y


@shared_task
def task_video_encoding_720p(video_id):
    logger.info('Video Processing started')
    try:
        video = Video.objects.get(video_id=video_id)
        input_file_path = video.video_file.path
        input_file_url = video.video_file.url
        input_file_name = video.video_file.name

        # get the filename (without extension)
        filename = os.path.basename(input_file_url)

        # path to the new file, change it according to where you want to put it
        output_file_name = os.path.join('videos', 'mp4', '{}.mp4'.format(filename))
        output_file_path = os.path.join(settings.MEDIA_ROOT, output_file_name)

        # 2-pass encoding
        for i in range(1):
           new_video_720p = subprocess.call([FFMPEG_PATH, '-i', input_file_path, '-s', '1280x720', '-vcodec', 'mpeg4', '-acodec', 'libvo_aacenc', '-b', '10000k', '-pass', i, '-r', '30', output_file_path])
        #    new_video_720p = subprocess.call([FFMPEG_PATH, '-i', input_file_path, '-s', '{}x{}'.format(height * 16/9, height), '-vcodec', 'mpeg4', '-acodec', 'libvo_aacenc', '-b', '10000k', '-pass', i, '-r', '30', output_file_path])

        if new_video_720p == 0:
            # save the new file in the database
            # video.video_file_hd.name = output_file_name
            video.save(update_fields=['video_file_hd'])
            logger.info('Video Processing Finished')
            return video

        else:
            logger.info('Proceesing Failed.') # Just for now

    except:
        raise ValidationError('Something went wrong')


@shared_task
# def task_video_encoding_1080p(video_id, height):
def task_video_encoding_1080p(video_id):
    logger.info('Video Processing started')
    try:
        video = Video.objects.get(video_id=video_id)
        input_file_path = video.video_file.url
        input_file_name = video.video_file.name

        # get the filename (without extension)
        filename = os.path.basename(input_file_path)

        # path to the new file, change it according to where you want to put it
        output_file_name = os.path.join('videos', 'mp4', '{}.mp4'.format(filename))
        output_file_path = os.path.join(settings.MEDIA_ROOT, output_file_name)

        for i in range(1):
            new_video_1080p = subprocess.call([FFMPEG_PATH, '-i', input_file_path, '-s', '1920x1080', '-vcodec', 'mpeg4', '-acodec', 'libvo_aacenc', '-b', '10000k', '-pass', i, '-r', '30', output_file_path])

        if new_video_1080p == 0:
            # save the new file in the database
            # video.video_file_hd.name = output_file_name
            video.save(update_fields=['video_file_fullhd'])
            logger.info('Video Processing Finished')
            return video
        else:
            logger.info('Proceesing Failed.') # Just for now

    except:
        raise ValidationError('Something went wrong')


  


  In my first attempt I wasn't triggering the tasks no where, then I've tried to trigger the task from the schema.py file from graphql inside the video_by_id, but there I've got this error :

  


  backend-celery-1  | django.core.exceptions.ValidationError: ['Something went wrong']
backend-celery-1  | [2023-06-18 16:38:52,859: ERROR/ForkPoolWorker-4] Task video.tasks.task_video_encoding_1080p[d33b1a42-5914-467c-ad5c-00565bc8be6f] raised unexpected: ValidationError(['Something went wrong'])
backend-celery-1  | Traceback (most recent call last):
backend-celery-1  |   File "/usr/src/backend/video/tasks.py", line 81, in task_video_encoding_1080p
backend-celery-1  |     new_video_1080p = subprocess.call([FFMPEG_PATH, '-i', input_file_path, '-s', '1920x1080', '-vcodec', 'mpeg4', '-acodec', 'libvo_aacenc', '-b', '10000k', '-pass', i, '-r', '30', output_file_path])
backend-celery-1  |                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-celery-1  |   File "/usr/local/lib/python3.11/subprocess.py", line 389, in call
backend-celery-1  |     with Popen(*popenargs, **kwargs) as p:
backend-celery-1  |          ^^^^^^^^^^^^^^^^^^^^^^^^^^^
backend-celery-1  |   File "/usr/local/lib/python3.11/subprocess.py", line 1026, in __init__
backend-celery-1  |     self._execute_child(args, executable, preexec_fn, close_fds,
backend-celery-1  |   File "/usr/local/lib/python3.11/subprocess.py", line 1883, in _execute_child
backend-celery-1  |     self.pid = _fork_exec(
backend-celery-1  |                ^^^^^^^^^^^
backend-celery-1  | TypeError: expected str, bytes or os.PathLike object, not int
backend-celery-1  | 
backend-celery-1  | During handling of the above exception, another exception occurred:
backend-celery-1  | 
backend-celery-1  | Traceback (most recent call last):
backend-celery-1  |   File "/usr/local/lib/python3.11/site-packages/celery/app/trace.py", line 477, in trace_task
backend-celery-1  |     R = retval = fun(*args, **kwargs)
backend-celery-1  |                  ^^^^^^^^^^^^^^^^^^^^
backend-celery-1  |   File "/usr/local/lib/python3.11/site-packages/celery/app/trace.py", line 760, in __protected_call__
backend-celery-1  |     return self.run(*args, **kwargs)
backend-celery-1  |            ^^^^^^^^^^^^^^^^^^^^^^^^^
backend-celery-1  |   File "/usr/src/backend/video/tasks.py", line 93, in task_video_encoding_1080p
backend-celery-1  |     raise ValidationError('Something went wrong')
backend-celery-1  | django.core.exceptions.ValidationError: ['Something went wrong']


  


  If anyone has done this kind of project or something like this please any suggestion or help is much appreciated.

  


  Thank you in advance !

  


• Meta Receives a Record GDPR Fine from The Irish Data Protection Commission

  29 mai 2023, par Erin — GDPR

  The Irish Data Protection Commission (the DPC) issued a €1.2 billion fine to Meta on May, 22nd 2023 for violating the General Data Protection Regulation (GDPR). 

  The regulator ruled that Meta was unlawfully transferring European users’ data to its US-based servers and taking no sufficient measures for ensuring users’ privacy. 

  Meta must now suspend data transfer within five months and delete EU/EEA users’ personal data that was illegally transferred across the border. Or they risk facing another round of repercussions. 

  Meta continued to transfer personal user data to the USA following an earlier ruling of The Court of Justice of the European Union (CJEU), which already address problematic EU-U.S. data flows. Meta continued those transfers on the basis of the updated Standard Contractual Clauses (“SCCs”), adopted by the European Commission in 2021. 

  The Irish regulator successfully proved that these arrangements had not sufficiently addressed the “fundamental rights and freedoms” of the European data subjects, outlined in the CJEU ruling. Meta was not doing enough to protect EU users’ data against possible surveillance and unconsented usage by US authorities or other authorised entities.

  Why European Regulators Are After The US Big Tech Firms ? 

  GDPR regulations have been a sore area of compliance for US-based big tech companies. 

  Effectively, they had to adopt a host of new measures for collecting user consent, ensuring compliant data storage and the right to request data removal for a substantial part of their user bases. 

  The wrinkle, however, is that companies like Google and Meta among others, don’t have separate data processing infrastructure for different markets. Instead, all the user data gets commingled on the companies’ servers, which are located in the US. 

  Data storage facilities’ location is an issue. In 2020, the CJEU made a historical ruling, called the invalidation of the Privacy Shield. Originally, international companies were allowed to transfer data between the EU and the US if they adhered to seven data protection principles. This arrangement was called the Privacy Shield. 

  However, the continuous investigation found that the Privacy Shield scheme was not GDPR compliant and therefore companies could no longer use it to justify cross-border data transfers.

  The invalidation of the Privacy Shield gave ground for further investigations of the big tech companies’ compliance statuses. 

  In March 2022, the Irish DPC issued the first €17 million fine to Meta for “insufficient technical and organisational measures to ensure information security of European users”. In September 2022, Meta was again hit with a €405 million fine for Instagram breaching GDPR principles. 

  2023 began with another series of rulings, with the DPC concluding that Meta had breaches of the GDPR relating to its Facebook service (€210 million fine) and breaches related to Instagram (€180 million fine). 

  Clearly, Meta already knew they weren’t doing enough for GDPR compliance and yet they refused to take privacy-focused action. 

  Is Google GDPR Compliant ?

  Google has a similar “track record” as Meta when it comes to ensuring full compliance with the GDPR. Although Google has said to provide users with more controls for managing their data privacy, the proposed solutions are just scratching the surface. 

  In the background, Google continues to leverage its ample reserves of user browsing, behavioural and device data in product development and advertising. 

  In 2022, the Irish Council for Civil Liberties (ICCL) found that Google used web users’ information in its real-time bidding ad system without their knowledge or consent. The French data regulator (CNIL), in turn, fined Google for €150 million because of poor cookie consent banners the same year. 

  Google Analytics GDPR compliance status is, however, the bigger concern.

  Neither Google Univeral Analytics (UA) nor Google Analytics 4 are GDPR compliant, following the Privacy Shield framework invalidation in 2020. 

  Fines from individual regulators in Sweden, France, Austria, Italy, Denmark, Finland and Norway ruled that Google Analytics is non-GDPR compliant and is therefore illegal to use. 

  The regulatory rulings not just affect Google, but also GA users. Because the product is in breach of European privacy laws, people using it are complacent. Privacy groups like noyb, for example, are exercising their right to sue individual websites, using Google Analytics.

  How to Stay GDPR Compliant With Website Analytics 

  To avoid any potential risk exposure, selectively investigate each website analytics provider’s data storage and management practices. 

  Inquire about the company’s data storage locations among the first things. For example, Matomo Cloud keeps all the data in the EU, while Matomo On-Premise edition gives you the option to store data in any country of your choice. 

  Secondly, ask about their process for consent tracking and subsequent data analysis. Our website analytics product is fully GDPR compliant as we have first-party cookies enabled by default, offer a convenient option of tracking out-outs, provide a data removal mechanism and practice safe data storage. In fact, Matomo was approved by the French Data Protection Authority (CNIL) as one of the few web analytics apps that can be used to collect data without tracking consent. 

  Using an in-built GDPR Manager, Matomo users can implement the right set of controls for their market and their industry. For example, you can implement extra data or IP anonymization ; disable visitor logs and profiles. 

  Thanks to our privacy-by-design architecture and native controls, users can make their Matomo analytics compliant even with the strictest privacy laws like HIPAA, CCPA, LGPD and PECR. 

  Learn more about GDPR-friendly website analytics.

  Final Thoughts

  Since the GDPR came into effect in 2018, over 1,400 fines have been given to various companies in breach of the regulations. Meta and Google have been initially lax in response to European regulatory demands. But as new fines follow and the consumer pressure mounts, Big Tech companies are forced to take more proactive measures : add opt-outs for personalised ads and introduce an alternative mechanism to third-party cookies. 

  Companies, using non-GDPR-compliant tools risk finding themselves in the crossfire of consumer angst and regulatory criticism. To operate an ethical, compliant business consider privacy-focused alternatives to Google products, especially in the area of website analytics. 

• Code can not read property 1 of undefined [closed]

  25 mai 2023, par Jesse Copas

  I'm a very new programmer and am working on a Tdarr plugin in JS.
Everything works fine until a 4k file tries to get transcoded and it fails with this log

  


  2023-05-24T19:09:54.906Z ZoBKWMMKG:Node\[hidden-hog\]:Worker\[tall-tuna\]:{"pluginInputs":{"BitRate":"4000","ResolutionSelection":"1080p","Container":"mkv","AudioType":"AAC","FrameRate":"24"}}

2023-05-24T19:09:54.907Z ZoBKWMMKG:Node\[hidden-hog\]:Worker\[tall-tuna\]:Error TypeError: Cannot read property '1' of undefined


  


  It's saying that it's unable to read property 1 of undefined and I'm looked and looked and looked and can't find what it is referring to. Hoping to get another set of eyes on it
The plugin Code is here

  


  /* eslint no-plusplus: ["error", { "allowForLoopAfterthoughts": true }] */
/* eslint-disable no-restricted-globals */
const details = () => ({
  id: 'Tdarr_Plugin_Jeso_AV1_HandBrake_Transcode',
  Stage: 'Pre-processing',
  Name: 'AV1 HandBrake Transcoder',
  Type: 'Video',
  Operation: 'Transcode',
  Description: 'Transcodes to AV1 at the selected Bitrate. This is best used with Remux Files.',
  Version: '2.1.3',
  Tags: 'HandBrake,configurable',
  Inputs: [
    {
      name: 'BitRate',
      type: 'string',
      defaultValue: '4000',
      inputUI: {
        type: 'text',
      },
      tooltip: `
        ~ Requested Bitrate ~ \\n
        Put in the Bitrate you want to process to in Kbps. For example 4000Kbps is 4Mbps. `,
    },
    {
      name: 'ResolutionSelection',
      type: 'string',
      defaultValue: '1080p',
      inputUI: {
        type: 'dropdown',
        options: [
          '8KUHD',
          '4KUHD',
          '1080p',
          '720p',
          '480p',
        ],
      },
      // eslint-disable-next-line max-len
      tooltip: 'Any Resolution larger than this will become this Resolution same as the bitrate if the Res is lower than the selected it will use the res of the file as to not cause bloating of file size.',
    },
    {
      name: 'Container',
      type: 'string',
      defaultValue: 'mkv',
      inputUI: {
        type: 'dropdown',
        options: [
          'mp4',
          'mkv',
        ],
      },
      tooltip: ` Container Type \\n\\n
          mkv or mp4.\\n`,
    },
    {
      name: 'AudioType',
      type: 'string',
      defaultValue: 'AAC',
      inputUI: {
        type: 'dropdown',
        options: [
          'AAC',
          'EAC3',
          'MP3',
          'Vorbis',
          'Flac16',
          'Flac24',
        ],
      },
      // eslint-disable-next-line max-len
      tooltip: 'Set Audio container type that you want to use',
    },
    {
      name: 'FrameRate',
      type: 'string',
      defaultValue: '24',
      inputUI: {
        type: 'text',
      },
      // eslint-disable-next-line max-len
      tooltip: 'If the files framerate is higher than 24 and you want to maintain that framerate you can do so here',
    },
  ],
});
const MediaInfo = {
  videoHeight: '',
  videoWidth: '',
  videoFPS: '',
  videoBR: '',
  videoBitDepth: '',
  overallBR: '',
  videoResolution: '',
}; // var MediaInfo
// Easier for our functions if response has global scope.
const response = {
  processFile: false,
  preset: '',
  container: '.mkv',
  handBrakeMode: true,
  FFmpegMode: false,
  reQueueAfter: true,
  infoLog: '',
}; // var response
// Finds the first video stream and populates some useful variables
function getMediaInfo(file) {
  let videoIdx = -1;
  for (let i = 0; i < file.ffProbeData.streams.length; i += 1) {
    const strstreamType = file.ffProbeData.streams[i].codec_type.toLowerCase();
    // Looking For Video
    // Check if stream is a video.
    if (videoIdx === -1 && strstreamType === 'video') {
      videoIdx = i;
      // get video streams resolution
      MediaInfo.videoResolution = `${file.ffProbeData.streams[i].height}x${file.ffProbeData.streams[i].width}`;
      MediaInfo.videoHeight = Number(file.ffProbeData.streams[i].height);
      MediaInfo.videoWidth = Number(file.ffProbeData.streams[i].width);
      MediaInfo.videoFPS = Number(file.mediaInfo.track[i + 1].FrameRate) || 25;
      // calulate bitrate from dimensions and fps of file
      MediaInfo.videoBR = (MediaInfo.videoHeight * MediaInfo.videoWidth * MediaInfo.videoFPS * 0.08).toFixed(0);
    }
  }
} // end  getMediaInfo()
// define resolution order from ResolutionSelection from biggest to smallest
const resolutionOrder = ['8KUHD', '4KUHD', '1080p', '720p', '480p'];
// define the width and height of each resolution from the resolution order
const resolutionsdimensions = {
  '8KUHD': '--width 7680 --height 4320',
  '4KUHD': '--width 3840 --height 2160',
  '1080p': '--width 1920 --height 1080',
  '720p': '--width 1280 --height 720',
  '480p': '--width 640 --height 480',
};
// eslint-disable-next-line no-unused-vars
const plugin = (file, librarySettings, inputs) => {
  // eslint-disable-next-line no-unused-vars
  const importFresh = require('import-fresh');
  // eslint-disable-next-line no-unused-vars
  const library = importFresh('../methods/library.js');
  // eslint-disable-next-line no-unused-vars
  const lib = require('../methods/lib')();
  // Get the selected resolution from the 'ResolutionSelection' variable
  const selectedResolution = inputs.ResolutionSelection;
  getMediaInfo(file);
  // use mediainfo to match height and width to a resolution on resolutiondimensions
  let dimensions = resolutionsdimensions[selectedResolution];
  // if the file is smaller than the selected resolution then use the file resolution
  if (MediaInfo.videoHeight < dimensions.split(' ')[3] || MediaInfo.videoWidth < dimensions.split(' ')[1]) {
    dimensions = `--width ${MediaInfo.videoWidth} --height ${MediaInfo.videoHeight}`;
    // eslint-disable-next-line brace-style
  }
  // read the bitrate of the video stream
  let videoBitRate = MediaInfo.videoBR;
  // if videoBitrate is over 1000000 devide by 100 to get the bitrate in Kbps
  if (videoBitRate > 1000000) {
    videoBitRate /= 100;
  } else { videoBitRate /= 1000; }
  // if VideoBitrate is smaller than selected bitrate then use the videoBitrate
  if (videoBitRate < inputs.BitRate) {
    // eslint-disable-next-line no-param-reassign
    inputs.BitRate = videoBitRate;
    // eslint-disable-next-line brace-style
  }
  // if VideoBitrate is larger than selected bitrate then use the selected bitrate
  else {
    // eslint-disable-next-line no-self-assign, no-param-reassign
    inputs.BitRate = inputs.BitRate;
  }

  //Skip Transcoding if File is already AV1
  if (file.ffProbeData.streams[0].codec_name === 'av1') {
    response.processFile = false;
    response.infoLog += 'File is already AV1 \n';
    return response;
  }
  // eslint-disable-next-line no-constant-condition
  if ((true) || file.forceProcessing === true) {
    // eslint-disable-next-line max-len
    response.preset = `--encoder svt_av1 -b ${inputs.BitRate} -r ${inputs.FrameRate} -E ${inputs.AudioType} -f ${inputs.Container} --no-optimize ${dimensions} --crop 0:0:0:0`;
    response.container = `.${inputs.Container}`;
    response.handbrakeMode = true;
    response.ffmpegMode = false;
    response.processFile = true;
    response.infoLog += `File is being transcoded at ${inputs.BitRate} Kbps to ${dimensions} as ${inputs.Container} \n`;
    return response;
  }
  response.infoLog += 'File is being transcoded using custom arguments \n';
  return response;
};
  };

module.exports.details = details;
module.exports.plugin = plugin;


  


  Tried transcoding 4k files down to 1080p but it fails due to that undefined error. All Res 1080p and lower that I have tried work correctly

  


  EDIT : I used Console.log and got this back

  


  [2023-05-24T23:29:51.001] [ERROR] Tdarr_Server - Error running MediaInfo 1&#xA;[2023-05-24T23:29:51.004] [ERROR] Tdarr_Server - RangeError: Maximum call stack size exceeded&#xA;    at x (<anonymous>:wasm-function[381]:0x15c4d)&#xA;    at <anonymous>:wasm-function[46]:0x5dc0&#xA;    at <anonymous>:wasm-function[652]:0x21cb9&#xA;    at <anonymous>:wasm-function[1023]:0x47018&#xA;    at <anonymous>:wasm-function[853]:0x37827&#xA;    at <anonymous>:wasm-function[3684]:0xf4884&#xA;    at <anonymous>:wasm-function[3516]:0xeb5b7&#xA;    at <anonymous>:wasm-function[1061]:0x487c9&#xA;    at <anonymous>:wasm-function[795]:0x3006d&#xA;    at <anonymous>:wasm-function[3628]:0xf01cc&#xA;[2023-05-24T23:29:51.006] [ERROR] Tdarr_Server - Error running MediaInfo 2&#xA;[2023-05-24T23:29:51.006] [ERROR] Tdarr_Server - RangeError: Maximum call stack size exceeded&#xA;    at x (<anonymous>:wasm-function[381]:0x15c4d)&#xA;    at <anonymous>:wasm-function[46]:0x5dc0&#xA;    at <anonymous>:wasm-function[652]:0x21cb9&#xA;    at <anonymous>:wasm-function[1023]:0x47018&#xA;    at <anonymous>:wasm-function[853]:0x37827&#xA;    at <anonymous>:wasm-function[3684]:0xf4884&#xA;    at <anonymous>:wasm-function[3516]:0xeb5b7&#xA;    at <anonymous>:wasm-function[1061]:0x487c9&#xA;    at <anonymous>:wasm-function[795]:0x3006d&#xA;    at <anonymous>:wasm-function[3628]:0xf01cc&#xA;[2023-05-24T23:29:58.220] [ERROR] Tdarr_Server - Error running MediaInfo 1&#xA;[2023-05-24T23:29:58.223] [ERROR] Tdarr_Server - RangeError: Maximum call stack size exceeded&#xA;    at x (<anonymous>:wasm-function[381]:0x15c4d)&#xA;    at <anonymous>:wasm-function[46]:0x5dc0&#xA;    at <anonymous>:wasm-function[652]:0x21cb9&#xA;    at <anonymous>:wasm-function[1023]:0x47018&#xA;    at <anonymous>:wasm-function[853]:0x37827&#xA;    at <anonymous>:wasm-function[3684]:0xf4884&#xA;    at <anonymous>:wasm-function[3516]:0xeb5b7&#xA;    at <anonymous>:wasm-function[1061]:0x487c9&#xA;    at <anonymous>:wasm-function[795]:0x3006d&#xA;    at <anonymous>:wasm-function[3628]:0xf01cc&#xA;[2023-05-24T23:29:58.224] [ERROR] Tdarr_Server - Error running MediaInfo 2&#xA;[2023-05-24T23:29:58.224] [ERROR] Tdarr_Server - RangeError: Maximum call stack size exceeded&#xA;    at x (<anonymous>:wasm-function[381]:0x15c4d)&#xA;    at <anonymous>:wasm-function[46]:0x5dc0&#xA;    at <anonymous>:wasm-function[652]:0x21cb9&#xA;    at <anonymous>:wasm-function[1023]:0x47018&#xA;    at <anonymous>:wasm-function[853]:0x37827&#xA;    at <anonymous>:wasm-function[3684]:0xf4884&#xA;    at <anonymous>:wasm-function[3516]:0xeb5b7&#xA;    at <anonymous>:wasm-function[1061]:0x487c9&#xA;    at <anonymous>:wasm-function[795]:0x3006d&#xA;    at <anonymous>:wasm-function[3628]:0xf01cc&#xA;</anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous></anonymous>