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• To all Matomo plugin developers : Matomo 4 is coming, make your plugin compatible now

  6 août 2020, par Matomo Core Team — Development

  We’re planning to release the first beta of Matomo 4 in a few weeks. For making it easy for Matomo users to be able to upgrade to this beta, it would be great if as many plugins on the Marketplace as possible would be already updated and compatible with Matomo 4. Then many users would be able to upgrade to the first beta without any issues.

  Presumably, as you put your plugin on our Marketplace, you want people to use it. Making your plugin compatible with Matomo 4 helps ensure that people will be able to find and keep using your plugin. If your plugin is not compatible with Matomo 4, your plugin will be automatically deactivated. We’ll be happy to help you achieve compatibility should there be any issue.

  How do I upgrade my Matomo to Matomo 4 ?

  If you have installed your Matomo development environment through git you can simply checkout the Matomo 4 branch “4.x-dev” by executing these commands :

  • git checkout 4.x-dev 
  • composer install

  Alternatively, you can also download the latest version directly from GitHub as a zip file and run composer install afterwards. 

  How do I upgrade my plugin to Matomo 4 ?

  • We recommend you create a new branch for your plugin that supports Matomo 4. For example a branch named “4.x-dev“. This way you will be able to make changes to your plugin for Matomo 3 and Matomo 4 and release separate versions.
  • Check out our migration guide from Matomo 3 to Matomo 4 and the list of all breaking changes.
  • Release a new version of your plugin in GitHub as usual.

  While there were many breaking changes in Matomo 4, most of our Platform APIs remain unchanged, and almost all changes are for rarely used APIs. Often to make your plugin compatible it will just be a matter of adjusting the “plugin.json” file (as mentioned in the migration guide).

  You can find all developer documentation on our developer zone which has already been updated for Matomo 4.

  How do I know my plugin changes were released successfully ?

  If you have configured an email address within your “plugin.json” file, then you will receive a confirmation or an error email within a few minutes. Alternatively, you can also check out your plugin page on the Marketplace directly. If the plugin release was successful, you will see additional links below the download button showing which versions your plugin is compatible with.

  

  How can I downgrade to Matomo 3 or switch between Matomo 3 and Matomo 4 ?

  To downgrade from Matomo 4 to Matomo 3 :

  • check out the “3.x-dev” branch 
  • run a composer install as usual. 
  • run the SQL statements from this downgrade guide to restore the previous MySQL schema.

  When will the final Matomo 4 release be available ?

  We estimate the final stable Matomo 4.0.0 release will be released in approx. 3 months.

  What’s new in Matomo 4 ?

  We don’t have a summary of the changes available just yet but you can see all closed issues within this release here.

  Any questions or need help ? 

  If you have any questions, or experience any problems during the migration don’t hesitate to get in touch with us. We’ll be happy to help get your plugin compatible and the update published. If you find any undocumented breaking change or find any step during the migration process not clear, please let us know as well.

  Thank you for contributing a plugin to the Marketplace and making Matomo better. We really appreciate your work !

• Limit output framerate to maximum 30 [duplicate]

  10 décembre 2019, par Char

  This question already has an answer here :

  • ffmpeg : reduce fps if over threshold but do not increase if under threshold
    
    1 answer
    

  I have a bunch of videos in a folder to convert. The videos come in a variety of container formats - mp4, mkv, avi, mpg, etc. All I would do is to drag videos into this folder and I run a script to read each file in the folder and execute ffmpeg to convert each video to a specific setting.

  What I want to do is to set the output framerate of each video to the following logic :

  • if the input framerate is 30 fps or less, keep the output framerate to the input file framerate, eg. if the input framerate is 24 fps.
  • if the input framerate is more than 30, set the output framerate to 30 fps, eg. if the input framerate is 60 fps.

  eg. something like : if=input<=30fps -r input_framerate else=input>30fps -r 30

  I have read the documentation and more than two hours of Googling, but did not find a suitable command to do this.

  Please enlighten.

• Run python ffmpeg audio convertion code file from subprocess.call() within a flask server

  11 novembre 2019, par Kasun

  I have build a small flask server to handle the request. I have 3 parameters in the api function that i want to get. those are type, user_id, audio_file, One is a file. Since it’s used for the audio file conversion. I have to get a file.. I have tested with this in Postman audio file get saved but the subprocess.call(command) in the api function doesn’t work..

  this is the flask server code

  @app.route('/voice', methods=['GET','POST'])
  
  def process_audio():
  
   try:
  
      if request.method == 'POST':
  
          input_type = request.form['type']
  
          user_id = request.form['user_id']
  
          static_file = request.files['audio_file']
  
          audio_name = secure_filename(static_file.filename)
  
          path = 't/'
  
          status = static_file.save(path + audio_name)
  
          full_file = path + audio_name
  
          if input_type == 1:
  
              cmd = "python t/convert_english.py --audio " + full_file
  
              res = subprocess.call([cmd],shell=True)
  
              f = open('t/ress.txt', 'w')
  
              f.write(str(res))
  
              f.close()
  
              return "true"
  
          else:
  
              cmd = "python t/convert_sinhala.py --audio " + full_file
  
              os.system(cmd)
  
              return "true"
  
      else:
  
          return "false"
  
  
  
  except Exception as e:
  
      print(e)
  
      logger.error(e)
  
      return e

  The audio file get saved in the directory as expected..

  this is the convert_english.py

  import subprocess
  
  import argparse
  
  import os
  
  import logging
  
  import speech_recognition as sr
  
  from tqdm import tqdm
  
  from multiprocessing.dummy import Pool
  
  
  
  #subprocess.call('pip install pydub',shell=True)
  
  
  
  from os import path
  
  from pydub import AudioSegment
  
  
  
  logging.basicConfig(filename='/var/www/img-p/t/ee.log', level=logging.DEBUG, 
  
                      format='%(asctime)s %(levelname)s %(name)s %(message)s')
  
  logger=logging.getLogger(__name__)
  
  
  
  ap = argparse.ArgumentParser()
  
  ap.add_argument("-a", "--audio", required=True,
  
      help="path to input audio file")
  
  args = vars(ap.parse_args())
  
  
  
  src = args["audio"]
  
  dst = "audio.wav"
  
  
  
  sound = AudioSegment.from_mp3(src)
  
  sound.export(dst, format="wav")
  
  
  
  #subprocess.call('pip install ffmpeg-python',shell=True)
  
  
  
  subprocess.call('mkdir parts',shell=True)
  
  
  
  subprocess.call('ffmpeg -i audio.wav -f segment -segment_time 30 -c copy parts/out%09d.wav',shell=True)
  
  
  
  #subprocess.call('pip install SpeechRecognition',shell=True)
  
  
  
  
  
  pool = Pool(8) # Number of concurrent threads
  
  
  
  with open("api-key.json") as f:
  
      GOOGLE_CLOUD_SPEECH_CREDENTIALS = f.read()
  
  
  
  r = sr.Recognizer()
  
  files = sorted(os.listdir('parts/'))
  
  
  
  def transcribe(data):
  
      idx, file = data
  
      name = "parts/" + file
  
      print(name + " started")
  
      # Load audio file
  
      with sr.AudioFile(name) as source:
  
          audio = r.record(source)
  
      # Transcribe audio file
  
      text = r.recognize_google_cloud(audio, credentials_json=GOOGLE_CLOUD_SPEECH_CREDENTIALS)
  
      print(name + " done")
  
      return {
  
          "idx": idx,
  
          "text": text
  
      }
  
  
  
  all_text = pool.map(transcribe, enumerate(files))
  
  pool.close()
  
  pool.join()
  
  
  
  transcript = ""
  
  for t in sorted(all_text, key=lambda x: x['idx']):
  
      total_seconds = t['idx'] * 30
  
      # Cool shortcut from:
  
      # https://stackoverflow.com/questions/775049/python-time-seconds-to-hms
  
      # to get hours, minutes and seconds
  
      m, s = divmod(total_seconds, 60)
  
      h, m = divmod(m, 60)
  
  
  
      # Format time as h:m:s - 30 seconds of text
  
      transcript = transcript + "{:0>2d}:{:0>2d}:{:0>2d} {}\n".format(h, m, s, t['text'])
  
  
  
  print(transcript)
  
  
  
  with open("transcript.txt", "w") as f:
  
      f.write(transcript)
  
  
  
  f = open("transcript.txt")
  
  lines = f.readlines()
  
  f.close()
  
  f = open("transcript.txt", "w", encoding="utf-8")
  
  for line in lines:
  
      f.write(line[8:])
  
  f.close()

  The thing is above code works when i manually run the command -> python t/convert_english.py —audio t/tttttttttt.mp3 like this in the terminal..

  But when i try to run from the flask server itself it doesn’t works.. And I’m not getting an error either.