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• Google Analytics Now Illegal in Austria ; Other EU Member States Expected to Follow

  18 janvier 2022, par Erin — Privacy

  Breaking news : The Austrian Data Protection Authority (“Datenschutzbehörde” or “DSB” or “DPA”) has ruled that Austrian website providers using Google Analytics are in violation of the GDPR. 

  This ruling stems from a decision made in 2020 by the Court of Justice of the European Union (CJEU) that stated that cloud services hosted in the US are incapable of complying with the GDPR and EU privacy laws. The decision was made because of the US surveillance laws requiring US providers (like Google or Facebook) to provide personal data to US authorities. 

  The 2020 ruling, known as “Schrems II”, marked the ending of the Privacy Shield, a framework that allowed for EU data to be transferred to US companies that became certified. 

  The tech industry was sent into a frenzy following this decision, but many US and EU companies decided to ignore the case. The choice to ignore is what landed one Austrian business in the DPA’s line of fire, damaging the brand’s reputation and possibly resulting in a hefty fine of up to €20 million or 4% of the organisation’s global turnover. 

  About the Austrian DPA’s Model Case 

  In this specific case, noyb (the European Center for Digital Rights) found that IP addresses (which are classified as personal data by the GDPR) and other identifiers were sent to the US in cookie data as a result of the organisation using Google Analytics. 

  This model case led to the DPA’s decision to rule that Austrian website providers using Google Analytics are in violation of GDPR. It is believed that other EU Member States will soon follow in this decision as well.

  "We expect similar decisions to now drop gradually in most EU member states. We have filed 101 complaints in almost all Member States and the authorities coordinated the response. A similar decision was also issued by the European Data Protection Supervisor last week."

  What does this mean if you are using Google Analytics ?

  If there is one thing to learn from this case, it is that ignoring these court rulings and continuing to use Google Analytics is not a viable option. 

  If you are operating a website in Austria, or your website services Austrian citizens, you should remove Google Analytics from your website immediately. 

  For businesses in other EU Member States, it is also highly recommended that you take action before noyb and local data protection authorities start targeting more businesses. 

  "Instead of actually adapting services to be GDPR compliant, US companies have tried to simply add some text to their privacy policies and ignore the Court of Justice. Many EU companies have followed the lead instead of switching to legal options."

  Removing Google Analytics from your site doesn’t mean that you need to give up website analytics altogether though. There are a variety of Google Analytics alternatives available today. Matomo in particular is a powerful open-source web analytics platform that gives you 100% data ownership and GDPR compliance. 

  

  Matomo is one of the best Google Analytics alternatives offering privacy by design on our Cloud, On-Premise and Matomo for WordPress. So you can get the insights you need while remaining compliant. As the GDPR continues to evolve, you can rest assured that Matomo will be at the forefront of these changes. 

  In addition, all Google Analytics data can be imported into Matomo so no historical data is lost. To make your migration as seamless as possible, we’ve put together a guide to migrating from Google Analytics to Matomo. 

  Ready to begin your journey to GDPR compliance ? Check out our live demo and start your 21-day free trial now – no credit card required.

  If you are interested in learning more about GDPR compliance and Matomo, check out our GDPR resources below :    

  • GDPR Manager user guide
  • How to fill in the information asset registration when using Matomo
  • How to make Matomo GDPR compliant in 12 easy steps
  • How to not process any personal data with Matomo and what it means for you
  • PII, personal data and GDPR. Discover what this means for your privacy
  • How should I write my privacy notice for Matomo Analytics under GDPR
  • Lawful basis for processing personal data under GDPR with Matomo
  • How to complete your privacy policy with Matomo Analytics under GDPR
  • GDPR compliance for Premium Features
  • How to get your Matomo plugin ready for GDPR
  • Subprocessors on Matomo Cloud (subprocessors not applicable to On-Premise)
  • Privacy in Matomo

  What does this mean if you are using Matomo ? 

  Our users can rest assured that Matomo remains in compliance with GDPR as all data is stored in the EU (Matomo Cloud) or in any country of your choice (Matomo On-Premise). With Matomo you’re able to continue analysing your website and not worry about GDPR.

  Final thoughts

  For EU businesses operating websites, now is the time to act. While Google pushes out false narratives to try and convince users that it is safe to continue using Google Analytics, it’s clear from these court rulings that the data protection authorities across the EU disagree with Google’s narrative.

  The fines, reputational damage and stresses mounting from using Google Analytics are imminent. Find an alternative to Google Analytics as this problem is not going away. 

  Getting started with Matomo is easy. Make the switch today and start your free 21-day trial – no credit card required. 

• OSError : MoviePy error : the file guitar.mp4 could not be found

  9 septembre 2023, par dunnjm814

  I'm working on a video to audio converter with react and flask/python.
I have received a 500 with this error :

  


  raise IOError(("MoviePy error: the file %s could not be found!\n"
OSError: MoviePy error: the file guitar.mp4 could not be found!
Please check that you entered the correct path.


  


  EDIT : As stated in comments, moviepy VideoFileClip is looking for a path. Per suggestion, I am now attempting to write the incoming video file to a temp directory housed in the backend of the app. The updated stack trace shows the filepath printing, however when presented to VideoFileClip it is still unhappy.

  


  The following snippet is the onSubmit for the video file upload :

  


  const onSubmit = async (e) => {
    e.preventDefault()
    const data = new FormData()
    console.log('hopefully the mp4', videoData)
    data.append('mp3', videoData)
    console.log('hopefully a form object with mp4', data)
    const response = await fetch('/api/convert', {
      method: "POST",
      body: data
    })
    if (response.ok) {
      const converted = await response.json()
      setMp3(converted)
      console.log(mp3)
    } else {
      window.alert("something went wrong :(");
    }
  }


  


  Here is a link to an image depicting the console output of my file upload
from within init.py

  


  app = Flask(__name__)

app.config.from_object(Config)
app.register_blueprint(convert, url_prefix='/api/convert')

CORS(app)



  


  from within converter.py

  


  import os
from flask import Blueprint, jsonify, request
import imageio
from moviepy.editor import *


convert = Blueprint('convert', __name__)

@convert.route('', methods=['POST'])
def convert_mp4():
  if request.files['mp3'].filename:
    os.getcwd()
    filename = request.files['mp3'].filename
    print('hey its a file again', filename)
    safe_filename = secure_filename(filename)
    video_file = os.path.join("/temp/", safe_filename)
    print('hey its the file path', video_file)
    video_clip = VideoFileClip(video_file)
    print('hey its the VideoFileClip', video_clip)
    audio_clip = video_clip.audio
    audio_clip.write_audiofile(os.path.join("/temp/", f"{safe_filename}-converted.mp3"))

    video_clip.close()
    audio_clip.close()

    return jsonify(send_from_directory(os.path.join("/temp/", f"{safe_filename}-converted.mp3")))
  else:
    return {'error': 'something went wrong :('}




  


  In the stack trace below you can see file printing the name of the video, my only other thought on why this may not be working was because it was getting lost in the post request, however the fact it is printing after my if file: check is leaving me pretty confused.

  


  hey its a file again guitar.mp4
hey its the file path /temp/guitar.mp4
127.0.0.1 - - [22/Apr/2021 12:12:15] "POST /api/convert HTTP/1.1" 500 -
Traceback (most recent call last):
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask/app.py", line 2464, in __call__
    return self.wsgi_app(environ, start_response)
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask/app.py", line 2450, in wsgi_app
    response = self.handle_exception(e)
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask_cors/extension.py", line 161, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask/app.py", line 1867, in handle_exception
    reraise(exc_type, exc_value, tb)
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask/_compat.py", line 39, in reraise
    raise value
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask/app.py", line 2447, in wsgi_app
    response = self.full_dispatch_request()
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask/app.py", line 1952, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask_cors/extension.py", line 161, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask/app.py", line 1821, in handle_user_exception
    reraise(exc_type, exc_value, tb)
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask/_compat.py", line 39, in reraise
    raise value
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask/app.py", line 1950, in full_dispatch_request
    rv = self.dispatch_request()
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/flask/app.py", line 1936, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
  File "/home/jasondunn/projects/audioconverter/back/api/converter.py", line 20, in convert_mp4
    video_clip = VideoFileClip(video_file)
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/moviepy/video/io/VideoFileClip.py", line 88, in __init__
    self.reader = FFMPEG_VideoReader(filename, pix_fmt=pix_fmt,
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/moviepy/video/io/ffmpeg_reader.py", line 35, in __init__
    infos = ffmpeg_parse_infos(filename, print_infos, check_duration,
  File "/home/jasondunn/projects/audioconverter/.venv/lib/python3.8/site-packages/moviepy/video/io/ffmpeg_reader.py", line 270, in ffmpeg_parse_infos
    raise IOError(("MoviePy error: the file %s could not be found!\n"
OSError: MoviePy error: the file /temp/guitar.mp4 could not be found!
Please check that you entered the correct path.


  


  thanks in advance for taking a look/future advice. First official post on Stack Overflow :)

  


• ffmpeg.wasm - How to do literally anything with a blob url

  24 novembre 2024, par SeriousLee

  I'm using the ffmpeg.wasm for the first time and I can't get anything working, beyond loading it. I have this function that does nothing in particular (I got it from the vite + react example in the docs, slightly modified) and all I want to do is pass it a blob URL like this blob:http://localhost:5173/c7a9ea7c-aa26-4f4f-9c80-11b8aef3e81f and run through the function and have it give me anything back. But instead, it hangs on the ffmpeg.exec command and never completes. And yes, I've determined that the input blob does work - it's an 8MB, 12-second long mp4 clip.

  


  Here's the function :

  


      const processOutputVideo = async (videoURL) => {
      const ffmpeg = ffmpegRef.current;

      await ffmpeg.writeFile("input.mp4", await fetchFile(videoURL));
      await ffmpeg.exec(["-i", "input.mp4", "output.mp4"]);

      const fileData = await ffmpeg.readFile("output.mp4");
      const blob = new Blob([fileData.buffer], { type: "video/mp4" });
      const blobUrl = URL.createObjectURL(blob);

      return blobUrl;
    };


  


  And here's the ffmpeg logs from my terminal.

  


  [FFMPEG stderr] ffmpeg version 5.1.4 Copyright (c) 2000-2023 the FFmpeg developers
Post.jsx:35 [FFMPEG stderr]   built with emcc (Emscripten gcc/clang-like replacement + linker emulating GNU ld) 3.1.40 (5c27e79dd0a9c4e27ef2326841698cdd4f6b5784)
Post.jsx:35 [FFMPEG stderr]   configuration: --target-os=none --arch=x86_32 --enable-cross-compile --disable-asm --disable-stripping --disable-programs --disable-doc --disable-debug --disable-runtime-cpudetect --disable-autodetect --nm=emnm --ar=emar --ranlib=emranlib --cc=emcc --cxx=em++ --objcc=emcc --dep-cc=emcc --extra-cflags='-I/opt/include -O3 -msimd128 -sUSE_PTHREADS -pthread' --extra-cxxflags='-I/opt/include -O3 -msimd128 -sUSE_PTHREADS -pthread' --enable-gpl --enable-libx264 --enable-libx265 --enable-libvpx --enable-libmp3lame --enable-libtheora --enable-libvorbis --enable-libopus --enable-zlib --enable-libwebp --enable-libfreetype --enable-libfribidi --enable-libass --enable-libzimg
Post.jsx:35 [FFMPEG stderr]   libavutil      57. 28.100 / 57. 28.100
Post.jsx:35 [FFMPEG stderr]   libavcodec     59. 37.100 / 59. 37.100
Post.jsx:35 [FFMPEG stderr]   libavformat    59. 27.100 / 59. 27.100
Post.jsx:35 [FFMPEG stderr]   libavdevice    59.  7.100 / 59.  7.100
Post.jsx:35 [FFMPEG stderr]   libavfilter     8. 44.100 /  8. 44.100
Post.jsx:35 [FFMPEG stderr]   libswscale      6.  7.100 /  6.  7.100
Post.jsx:35 [FFMPEG stderr]   libswresample   4.  7.100 /  4.  7.100
Post.jsx:35 [FFMPEG stderr]   libpostproc    56.  6.100 / 56.  6.100
Post.jsx:35 [FFMPEG stderr] Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'input.mp4':
Post.jsx:35 [FFMPEG stderr]   Metadata:
Post.jsx:35 [FFMPEG stderr]     major_brand     : mp42
Post.jsx:35 [FFMPEG stderr]     minor_version   : 0
Post.jsx:35 [FFMPEG stderr]     compatible_brands: mp42mp41isomavc1
Post.jsx:35 [FFMPEG stderr]     creation_time   : 2019-03-15T17:39:05.000000Z
Post.jsx:35 [FFMPEG stderr]   Duration: 00:00:12.82, start: 0.000000, bitrate: 5124 kb/s
Post.jsx:35 [FFMPEG stderr]   Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709, progressive), 1920x1080, 4985 kb/s, 29.97 fps, 29.97 tbr, 30k tbn (default)
Post.jsx:35 [FFMPEG stderr]     Metadata:
Post.jsx:35 [FFMPEG stderr]       creation_time   : 2019-03-15T17:39:05.000000Z
Post.jsx:35 [FFMPEG stderr]       handler_name    : L-SMASH Video Handler
Post.jsx:35 [FFMPEG stderr]       vendor_id       : [0][0][0][0]
Post.jsx:35 [FFMPEG stderr]       encoder         : AVC Coding
Post.jsx:35 [FFMPEG stderr]   Stream #0:1[0x2](und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 137 kb/s (default)
Post.jsx:35 [FFMPEG stderr]     Metadata:
Post.jsx:35 [FFMPEG stderr]       creation_time   : 2019-03-15T17:39:05.000000Z
Post.jsx:35 [FFMPEG stderr]       handler_name    : L-SMASH Audio Handler
Post.jsx:35 [FFMPEG stderr]       vendor_id       : [0][0][0][0]
Post.jsx:35 [FFMPEG stderr] Stream mapping:
Post.jsx:35 [FFMPEG stderr]   Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
Post.jsx:35 [FFMPEG stderr]   Stream #0:1 -> #0:1 (aac (native) -> aac (native))
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0x154e4f0] using cpu capabilities: none!
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0x154e4f0] profile High, level 4.0, 4:2:0, 8-bit
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0x154e4f0] 264 - core 164 - H.264/MPEG-4 AVC codec - Copyleft 2003-2022 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=6 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00


  


  And it just hangs there. When I use the example video URL from the official example (https://raw.githubusercontent.com/ffmpegwasm/testdata/master/video-15s.avi), it doesn't hang and it completes the function and returns me a blob URL in the same format as that first blob URL I showed you guys and this is what the ffmpeg output looks like in my console in that case :

  


  Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] frame P:160   Avg QP:23.62  size:  1512
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] frame B:385   Avg QP:26.75  size:   589
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] consecutive B-frames:  5.5%  3.6%  0.0% 90.9%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] mb I  I16..4: 12.6% 87.4%  0.0%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] mb P  I16..4:  3.8% 47.5%  1.6%  P16..4: 12.9%  7.4%  5.0%  0.0%  0.0%    skip:21.7%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] mb B  I16..4:  1.2% 10.3%  0.4%  B16..8: 22.3%  6.9%  1.4%  direct: 2.7%  skip:54.8%  L0:46.9% L1:40.2% BI:12.9%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] 8x8 transform intra:88.7% inter:74.7%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] coded y,uvDC,uvAC intra: 68.3% 0.0% 0.0% inter: 11.8% 0.0% 0.0%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] i16 v,h,dc,p: 33% 40% 24%  3%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 15% 26% 52%  2%  1%  1%  1%  1%  3%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 27% 21% 20%  5%  5%  5%  4%  6%  5%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] i8c dc,h,v,p: 100%  0%  0%  0%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] Weighted P-Frames: Y:12.5% UV:0.0%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] ref P L0: 48.9% 12.5% 22.3% 14.7%  1.6%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] ref B L0: 77.5% 15.7%  6.8%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] ref B L1: 90.9%  9.1%
Post.jsx:35 [FFMPEG stderr] [libx264 @ 0xdf3000] kb/s:242.65
Post.jsx:35 [FFMPEG stderr] Aborted()


  


  Where am I going wrong, what should I convert my input blob into ? And just FYI, ChatGPT has been completely garbage at helping me solve this lmao.