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• Live Video Facebook API with FFMPEG nodejs

  8 mai 2019, par user3709908

  I have created Object Live Video as Facebook’s document.

  "stream_url": "rtmp://rtmp-api.facebook.com:80/rtmp/641310872699778?ds=1&a=AaYx3JYoFLTXAvBK"

  I using https://github.com/fluent-ffmpeg/node-fluent-ffmpeg for stream but I failed.

  Does anyone have solutions to stream video file (eg : mp4) to Object Video Facebook API ?

  var ffmpeg = require('fluent-ffmpeg'),
  
    fs = require('fs');
  
  
  
    // open input stream
  
  var infs = fs.createReadStream(__dirname + '/2.mp4');
  
  
  
  infs.on('error', function(err) {
  
    console.log(err);
  
  });
  
  var publish = "rtmp://rtmp-api.facebook.com:80/rtmp/641310872699778?ds=1&a=AaYx3JYoFLTXAvBK";
  
  // make sure you set the correct path to your video file
  
  var proc = ffmpeg(infs)
  
  
  
    .format('mp4')
  
    .size('320x?')
  
    .videoBitrate('512k')
  
    .videoCodec('libx264')
  
    .fps(24)
  
    .audioBitrate('96k')
  
    .audioCodec('aac')
  
    .audioFrequency(22050)
  
    .audioChannels(2)
  
    // setup event handlers
  
    .on('end', function() {
  
      console.log('file has been converted succesfully');
  
    })
  
    .on('error', function(err) {
  
      console.log('an error happened: ' + err.message);
  
    })
  
    // save to stream
  
    .save(publish); //end = true, close output stream after writing

  an error happened: ffmpeg exited with code 1: rtmp://rtmp-api.facebook.com:80/rtmp/641310872699778?ds=1&a=AaYx3JYoFLTXAvBK: Operation not permitted

• Do I really have to go through the whole Facebook App Review process for a single user App ?

  11 février 2019, par KOMsandFriends

  I want to publish a live video on a Facebook page, using the Facebook API. I have developed a small Facebook "App", which starts a live video stream on a Facebook page and connects ffmpeg to it.

  I need this for my own business. The only purpose of this is, to start and stop live video streams from an IP camera on Facebook from a headless server.

  This is how I call the API in python to start a new live video stream :

  def start(self):
  
        p = {
  
                "status":"LIVE_NOW",
  
                "title":self.Title,
  
                "description":self.Description,
  
                "access_token":self.__token
  
                }
  
        r = requests.post( self.__url + self.__page_id + '/live_videos', pams=p)
  
        if r.status_code == 200:
  
            self.parseResponse(r.text)
  
        return int(r.status_code)

  After that I immediately run ffmpeg with the stream key returned by this API call :

  ffmpeg -i ... -f flv "rtmp://live-api-s.facebook.com:80/rtmp/$STREAMKEY"

  This code works and the video appears on Facebook, but the video is only visible for me, even though it is shown as public in the Facebook web interface.

  How can I change this ? Do I have to review an App, even though it is just for my own usage ?

• Facebook Reels Upload always failing

  21 juin, par Evrard A.

  I'm trying to upload Reels through Facebook Graph API. The video is created with the following ffmpeg command.

  


  cmd = [
            'ffmpeg',
            '-i', video_path,
            '-i', voice_path,
            '-i', music_path,

            '-filter_complex',
            '[1:a]loudnorm=I=-16:LRA=11:TP=-1.5,adelay=0|0[a1];' +
            '[2:a]volume=0.2,afade=t=in:ss=0:d=0.02,afade=t=out:st=28:d=0.03[a2];' +
            '[a1][a2]amix=inputs=2:duration=first:dropout_transition=0[aout]',

            '-map', '0:v:0',
            '-map', '[aout]',

            '-vf',
             f"subtitles='{str(ass_path)}',format=yuv420p,scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2,setsar=1",  # Incrustation des sous-titres

            '-r', '30',
            '-g', '60',
            '-keyint_min', '60',
            '-sc_threshold', '0',
            '-x264opts', 'no-scenecut',

            '-c:v', 'libx264',
            '-profile:v', 'baseline',
            '-level', '4.1',
            '-pix_fmt', 'yuv420p',
            '-color_range', 'tv',
            '-colorspace', 'bt709',

            '-b:v', '9500k',
            '-maxrate', '9500k',
            '-bufsize', '19000k',

            '-c:a', 'aac',
            '-b:a', '192k',
            '-ac', '2',
            '-ar', '48000',

            '-movflags', '+faststart',
            '-video_track_timescale', '15360',
            '-max_muxing_queue_size', '9999',

            '-y', self.output_video_path if self.output_video_path else f'{parts[0]}.subtitled.{parts[1]}'
        ]

        subprocess.run(cmd, check=True)


  


  Here is the class method I use to publish :

  


    import requests, os,  time
  from datetime import datetime, timedelta
  from moviepy.editor import VideoFileClip
   
  def post_reel(
      self,
      page_id: str,
      page_access_token: str,
      video_file_path: str,
      video_description: str,
      tags: list = None, # type: ignore
      publish_now: bool = True
  ):
      def extract_first_frame(video_path: str, output_image_path: str, time_in_seconds: float = 1):
          """
          Extrait une frame à time_in_seconds et la sauvegarde comme miniature.
          """
          try:
              clip = VideoFileClip(video_path)
              clip.save_frame(output_image_path, t=time_in_seconds)
              print(f"[THUMBNAIL] Frame at {time_in_seconds}s saved to {output_image_path}")
              return output_image_path
          except Exception as e:
              print(f"[ERROR] Could not extract thumbnail: {str(e)}")
              return None

      def wait_for_video_ready(video_id, page_access_token, timeout=300, poll_interval=10):
          """
          Attends que la vidéo soit complètement traitée et publiée.
          """
          status_url = f"{self.BASE_API_URL}/{video_id}"
          params = {
              "access_token": page_access_token,
              "fields": "status"
          }

          start = time.time()
          while time.time() - start < timeout:
              try:
                  r = requests.get(url=status_url, params=params)
                  r.raise_for_status()
                  status = r.json().get("status", {})
                  processing = status.get("processing_phase", {}).get("status")
                  publishing = status.get("publishing_phase", {}).get("status")
                  video_status = status.get("video_status")

                  print(f"[WAIT] video_status={video_status}, processing={processing}, publishing={publishing}")

                  if processing == "complete" and publishing == "complete":
                      print("[READY] Reel processed and published")
                      return True
                  elif processing == "error":
                     print(r.json())

              except Exception as e:
                  print(f"[ERROR] during polling: {e}")

              time.sleep(poll_interval)

          print("[TIMEOUT] Video did not finish processing in time.")
          return False

      try:
          # Step 1: Initialize upload
          init_url = f"{self.BASE_API_URL}/{page_id}/video_reels"
          init_params = {"upload_phase": "start"}
          init_payload = {'access_token': page_access_token}

          r = requests.post(url=init_url, data=init_payload, params=init_params)
          r.raise_for_status()
          response = r.json()
          video_id = response["video_id"]
          upload_url = response["upload_url"]
          print(f"[INIT OK] Video ID: {video_id}")

          # Step 2: Upload video
          file_size = os.path.getsize(video_file_path)
          headers = {
              'Authorization': f"OAuth {page_access_token}",
              'offset': "0",
              'file_size': str(file_size),
          }

          with open(video_file_path, 'rb') as f:
              files = {'source': f}
              r = requests.post(url=upload_url, data=files, headers=headers)
              r.raise_for_status()
              upload_response = r.json()

          if not upload_response.get("success"):
              print("[ERROR] Upload failed.")
              return None
          print(f"[UPLOAD OK]")

          # Step 3: Check video status
          status_check_url = f'{self.BASE_API_URL}/{video_id}'
          check_params = {
              "access_token": page_access_token,
              "fields": "status"
          }
          r = requests.get(url=status_check_url, params=check_params)
          r.raise_for_status()
          print(f"[STATUS CHECK] {r.json()}")

          # Step 4: Finalize video
          finalize_params = {
              "video_id": video_id,
              "upload_phase": "finish",
              "published": "true",
              "access_token": page_access_token,
              "video_state": "PUBLISHED" if publish_now else "SCHEDULED",
              "title": video_description,
              "description": video_description
          }

          if not publish_now:
              finalize_params["scheduled_publish_time"] = int((datetime.now() + timedelta(days=1)).timestamp())

          if tags:
              finalize_params["tags"] = ",".join(tags)

          r = requests.post(url=init_url, params=finalize_params, headers=headers)
          r.raise_for_status()
          finalize_response = r.json()
          post_id = finalize_response.get("post_id")
          print(f"[FINALIZE OK] Post ID: {post_id}")
          
          # WAIT UNTIL PUBLISHED
          if not wait_for_video_ready(video_id, page_access_token):
              print("[ERROR] Reel processing timeout or failure")
              return None
          
          # Step 5: Extract and upload thumbnail
          thumbnail_path = f"temp_thumb_{video_id}.jpg"
          if extract_first_frame(video_file_path, thumbnail_path):
              thumb_url = f"{self.BASE_API_URL}/{video_id}/thumbnails"
              with open(thumbnail_path, 'rb') as img:
                  files = {'source': img}
                  thumb_payload = {'access_token': page_access_token}
                  r = requests.post(url=thumb_url, files=files, data=thumb_payload)
                  r.raise_for_status()
                  print("[THUMBNAIL UPLOADED]")
              # Clean up temp file
              os.remove(thumbnail_path)
              print("[THUMBNAIL CLEANED UP]")

          return post_id

      except Exception as e:
          print(f"[ERROR] {str(e)}")
          return None


  


  Here are the logs I get :

  


  

  • [INIT OK] Video ID: 1020853163558419

  


  • [UPLOAD OK]

  


  • [STATUS CHECK]

  


  


  {
  "status": {
    "video_status": "upload_complete",
    "uploading_phase": {
      "status": "complete",
      "bytes_transferred": 37780189
    },
    "processing_phase": {
      "status": "not_started"
    },
    "publishing_phase": {
      "status": "not_started"
    },
    "copyright_check_status": {
      "status": "in_progress"
    }
  },
  "id": "1020853163558419"
}


  


  

  • [FINALIZE OK] Post ID: 122162302376476425

  


  • [WAIT] video_status=upload_complete, processing=not_started, publishing=not_started

  


  • [WAIT] video_status=error, processing=error, publishing=not_started

  


  


  {
  "status": {
    "video_status": "error",
    "uploading_phase": {
      "status": "complete",
      "bytes_transferred": 37780189
    },
    "processing_phase": {
      "status": "error",
      "errors": [
        {
          "code": 1363008,
          "message": "Video Creation failed, please try again."
        }
      ]
    },
    "publishing_phase": {
      "status": "not_started"
    },
    "copyright_check_status": {
      "status": "in_progress"
    }
  },
  "id": "1020853163558419"
}


  


  It seems the error code 1363008 is related to the video properties format but even after following Facebook Reels video format recommandations, I can't make it work.

  


  Can you help me with this please ?

  


  I failed getting usefull help with ChatGPT 😅, and thanks in advance for anyone who answers or comments my question.