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  • Apostrophe issue with FFmpeg

    1er mars 2024, par Rohan Molinillo

    I'm working on a company's project which is vue.js.
There are also code parts in php.
It uses FFmpeg to create a video from multiple videos.
On each video, there is a text type subtitle.
Each text is retrieved from a .txt file
But I have a problem with apostrophes.

    


    If in the subtitle is stored like this ( I'm here ) in the txt file, on the video there will be written ( Im ).
The apostrophe is removed and the rest of the text too ( here ) will not be displayed.

    


    I'm new to php and ffmpeg, I've been on this problem for almost 3 weeks.

    


    I share the php code with you.

    


    <?php

declare(strict_types=1);

array_shift($argv); // remove script name in $argv[0]

$parameters = array_reduce($argv, function ($carry, $arg) {
    $tokens = explode('=', $arg);
    $carry[$tokens[0]] = $tokens[1];
    return $carry;
}, []);

$projectPath = $parameters['projectPath'];
$musicPath = $parameters['musicPath'];

$fontPath = getcwd() . "/public/fonts/cobol/Cobol-Bold.ttf";
$logoPath = getcwd() . "/public/images/saintex.jpg";
$carnetLogoPath = getcwd() . "/public/images/CarnetTitre.jpg";

// Adding descriptions for each clip and fade in and fade out filters
$clipsToDescribe =  glob("$projectPath/*.webm");
$clipFrameRate = (int) shell_exec("cd $projectPath && ffprobe -v error -select_streams v -of default=noprint_wrappers=1:nokey=1 -show_entries stream=r_frame_rate $clipsToDescribe[0]");
$clipFrameRate = $clipFrameRate > 60 ? 30 : $clipFrameRate;

foreach ($clipsToDescribe as $key => $clipToDescribe) {
    $clipIndex = $key + 1;
    $clipFrames = (int) shell_exec("cd $projectPath && ffprobe -v error -select_streams v:0 -count_packets -show_entries stream=nb_read_packets -of csv=p=0 $clipToDescribe");
    $clipDuration = (float) ($clipFrames / $clipFrameRate) - 0.5;
    file_put_contents("$projectPath/clip{$clipIndex}_desc.txt", addslashes($parameters["clip{$clipIndex}_desc"]));
    shell_exec("cd $projectPath && ffmpeg -i $clipToDescribe -vf 'drawtext=fontfile=$fontPath: textfile=clip{$clipIndex}_desc.txt: fontcolor=white: fontsize=46: box=1: boxcolor=black@0.5: boxborderw=5: x=(w-text_w)/2: y=(h-text_h-50): fix_bounds=true, fade=t=in:st=0:d=0.3,fade=t=out:st=$clipDuration:d=0.3' -b:v 3000K -b:a 192K clip{$clipIndex}.webm");
}
array_map('unlink', glob("$projectPath/*desc.txt"));

shell_exec("cd $projectPath && ffmpeg -t 2 -f lavfi -i color=c=black:s=1280x720 -r 30 blank.webm");
shell_exec("cd $projectPath && ffmpeg -i blank.webm -i $carnetLogoPath -filter_complex '[0:v][1:v] overlay=(main_w/2)-(overlay_w/2):(main_h/2)-(overlay_h/2)' -pix_fmt yuv420p -c:a copy logo.webm");



$workshop = $parameters["workshop_type"];
$title = $parameters["title"];
shell_exec("cd $projectPath && ffmpeg -f lavfi -i color=size=1280x720:duration=3:rate=30:color=black -vf 'drawtext=text=$workshop:fontfile=$fontPath:fontcolor=white:fontsize=46:x=(w-text_w)/2:y=(h-text_h)/2, drawtext=text=$title:fontfile=$fontPath:fontcolor=white:fontsize=46:x=(w-text_w)/2:y=((h-text_h)/2)+lh+5' opening.webm");
unlink("$projectPath/blank.webm");

$videosFile = "file 'logo.webm'\n";
$videosFile .= "file 'opening.webm'\n";{
    file_put_contents("$projectPath/project_desc.txt", $parameters["project_desc"]);
    shell_exec("cd $projectPath && ffmpeg -f lavfi -i color=size=1280x720:duration=3:rate=30:color=black -vf 'drawtext=fontfile=$fontPath:fontsize=46:fontcolor=white:x=(w-text_w)/2:y=(h-text_h)/2:textfile=project_desc.txt' project_desc.webm");
    unlink("$projectPath/project_desc.txt");
    $videosFile .= "file 'project_desc.webm'\n";
} 
if(array_key_exists("participants", $parameters)) {
    file_put_contents("$projectPath/participants.txt", "Participants :\n" . $parameters["participants"]);
    shell_exec("cd $projectPath && ffmpeg -f lavfi -i color=size=1280x720:duration=2:rate=30:color=black -vf 'drawtext=fontfile=$fontPath:fontsize=46:fontcolor=white:x=(w-text_w)/2:y=(h-text_h)/2:textfile=participants.txt' participants.webm");
    unlink("$projectPath/participants.txt");
}

$videos =  glob("$projectPath/clip*.webm");
foreach($videos as $video) {
    if($video != "originalVideos") {
        $videosFile .= "file ". "'{$video}'\n";
    }
} 
if(array_key_exists("participants", $parameters)) {
    $videosFile .= "file '$projectPath/participants.webm'";
}
array_map('unlink', glob("$projectPath/*webm.txt"));
file_put_contents("$projectPath/videosFile.txt", $videosFile);
if($musicPath == "/_musics/") {
    echo(shell_exec("cd $projectPath && ffmpeg -f concat -safe 0 -i videosFile.txt -b:v 10000K -crf 20 -b:a 192K output.webm"));
} else {
    echo(shell_exec("cd $projectPath && ffmpeg -f concat -safe 0 -i videosFile.txt -b:v 10000K -crf 20 -b:a 192K assembled.webm && ffmpeg -i assembled.webm -i ../..$musicPath -filter_complex ' [1:0] apad ' -shortest -y -b:v 3000K -b:a 192K output.webm"));
}


    


    I tried many things but each time there were errors.
I think I didn't implement the code properly.

    


    I share you the error

    


            [09:21:02] RECEIVED EVENT: videoRequest
{ Error: Command failed: php ./public/src/generate.php projectPath='/home/rohan/Documents/dodoc2/_projects/its-a-test' musicPath='/_musics/classic.mp3' clip1_name='' clip2_name='' clip3_name='' clip4_name='' clip5_name='' clip1_desc='It's a first test' clip2_desc='It's a second test' clip3_desc='It's a third test' clip4_desc='It's a fourth' clip5_desc='It's a last test' project_desc='' workshop_type='Atelier Robotique' title='It's a test' participants='Molinillo Rohan
'
PHP Warning:  Undefined array key 1 in /home/rohan/carnet-numerique/public/src/generate.php on line 9
PHP Warning:  Undefined array key 1 in /home/rohan/carnet-numerique/public/src/generate.php on line 9
PHP Warning:  Undefined array key 1 in /home/rohan/carnet-numerique/public/src/generate.php on line 9
PHP Warning:  Undefined array key 1 in /home/rohan/carnet-numerique/public/src/generate.php on line 9
PHP Warning:  Undefined array key 1 in /home/rohan/carnet-numerique/public/src/generate.php on line 9
PHP Warning:  Undefined array key 1 in /home/rohan/carnet-numerique/public/src/generate.php on line 9
ffmpeg version 5.1.1-1ubuntu2.1 Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 12 (Ubuntu 12.2.0-3ubuntu1)
  configuration: --prefix=/usr --extra-version=1ubuntu2.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librist --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --disable-sndio --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-libplacebo --enable-shared
  libavutil      57. 28.100 / 57. 28.100
  libavcodec     59. 37.100 / 59. 37.100
  libavformat    59. 27.100 / 59. 27.100
  libavdevice    59.  7.100 / 59.  7.100
  libavfilter     8. 44.100 /  8. 44.100
  libswscale      6.  7.100 /  6.  7.100
  libswresample   4.  7.100 /  4.  7.100
  libpostproc    56.  6.100 / 56.  6.100
Input #0, matroska,webm, from '/home/rohan/Documents/dodoc2/_projects/its-a-test/video-20230404-091933-682.webm':
  Metadata:
    encoder         : QTmuxingAppLibWebM-0.0.1
  Duration: N/A, start: -0.001000, bitrate: N/A
  Stream #0:0(eng): Video: vp8, yuv420p(progressive), 1280x720, SAR 1:1 DAR 16:9, 1k tbr, 1k tbn (default)
  Stream #0:1(eng): Audio: opus, 48000 Hz, stereo, fltp (default)
Stream mapping:
  Stream #0:0 -> #0:0 (vp8 (native) -> vp9 (libvpx-vp9))
  Stream #0:1 -> #0:1 (opus (native) -> opus (libopus))
Press [q] to stop, [?] for help
[libvpx-vp9 @ 0x55952c183000] v1.12.0
Output #0, webm, to 'clip1.webm':
  Metadata:
    encoder         : Lavf59.27.100
  Stream #0:0(eng): Video: vp9, yuv420p(tv, bt470bg/unknown/unknown, progressive), 1280x720 [SAR 1:1 DAR 16:9], q=2-31, 3000 kb/s, 1k fps, 1k tbn (default)
    Metadata:
      encoder         : Lavc59.37.100 libvpx-vp9
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
  Stream #0:1(eng): Audio: opus, 48000 Hz, stereo, flt, 192 kb/s (default)
    Metadata:
      encoder         : Lavc59.37.100 libopus
frame=  229 fps= 11 q=12.0 Lsize=    2786kB time=00:00:07.52 bitrate=3034.7kbits/s speed=0.377x    
video:2601kB audio:181kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.175036%
PHP Warning:  Undefined array key "clip2_desc" in /home/rohan/carnet-numerique/public/src/generate.php on line 29
PHP Fatal error:  Uncaught TypeError: addslashes(): Argument #1 ($string) must be of type string, null given in /home/rohan/carnet-numerique/public/src/generate.php:29
Stack trace:
#0 /home/rohan/carnet-numerique/public/src/generate.php(29): addslashes()
#1 {main}
  thrown in /home/rohan/carnet-numerique/public/src/generate.php on line 29

    at ChildProcess.exithandler (child_process.js:275:12)
    at emitTwo (events.js:126:13)
    at ChildProcess.emit (events.js:214:7)
    at maybeClose (internal/child_process.js:925:16)
    at Socket.stream.socket.on (internal/child_process.js:346:11)
    at emitOne (events.js:116:13)
    at Socket.emit (events.js:211:7)
    at Pipe._handle.close [as _onclose] (net.js:554:12)
  killed: false,
  code: 255,
  signal: null,
  cmd: 'php ./public/src/generate.php projectPath=\'/home/rohan/Documents/dodoc2/_projects/its-a-test\' musicPath=\'/_musics/classic.mp3\' clip1_name=\'\' clip2_name=\'\' clip3_name=\'\' clip4_name=\'\' clip5_name=\'\' clip1_desc=\'It\'s a first test\' clip2_desc=\'It\'s a second test\' clip3_desc=\'It\'s a third test\' clip4_desc=\'It\'s a fourth\' clip5_desc=\'It\'s a last test\' project_desc=\'\' workshop_type=\'Atelier Robotique\' title=\'It\'s a test\' participants=\'Molinillo Rohan\n\'' }


    


  • Introducing the Data Warehouse Connector feature

    30 janvier, par Matomo Core Team

    Matomo is built on a simple truth : your data belongs to you, and you should have complete control over it. That’s why we’re excited to launch our new Data Warehouse Connector feature for Matomo Cloud, giving you even more ways to work with your analytics data. 

    Until now, getting raw data from Matomo Cloud required APIs and custom scripts, or waiting for engineering help.  

    Our new Data Warehouse Connector feature removes those barriers. You can now access your raw, unaggregated data and schedule regular exports straight to your data warehouse. 

    The feature works with all major data warehouses including (but not limited to) : 

    • Google BigQuery 
    • Amazon Redshift 
    • Snowflake 
    • Azure Synapse Analytics 
    • Apache Hive 
    • Teradata 

    You can schedule exports, combine your Matomo data with other data sources in your data warehouse, and easily query data with SQL-like queries. 

    Direct raw data access for greater data portability 

    Waiting for engineering support can delay your work. Managing API connections and writing scripts can be time-consuming. This keeps you from focusing on what you do best—analysing data. 

    BigQuery create-table-menu

    With the Data Warehouse Connector feature, you get direct access to your raw Matomo data without the technical setup. So, you can spend more time analysing data and finding insights that matter. 

    Bringing your data together 

    Answering business questions often requires data from multiple sources. A single customer interaction might span your CRM, web analytics, sales systems, and more. Piecing this data together manually is time-consuming—what starts as a seemingly simple question from stakeholders can turn into hours of work collecting and comparing data across different tools. 

    This feature lets you combine your Matomo data with data from other business systems in your data warehouse. Instead of switching between tools or manually comparing spreadsheets, you can analyse all your data in one place to better understand how customers interact with your business. 

    Easy, custom analysis with SQL-like queries 

    Standard, pre-built reports often don’t address the specific, detailed questions that analysts need to answer.  

    When you use the Data Warehouse Connector feature, you can use SQL-like queries in your data warehouse to do detailed, customised analysis. This flexibility allows you to explore your data in depth and uncover specific insights that aren’t possible with pre-built reports. 

    Here is an example of how you might use SQL-like query to compare the behaviours of paying vs. non-paying users : 

    				
                                            <xmp>SELECT  

    custom_dimension_value AS user_type, -- Assuming 'user_type' is stored in a custom dimension

    COUNT(*) AS total_visits,  

    AVG(visit_total_time) AS avg_duration,

    SUM(conversion.revenue) AS total_spent  

    FROM  

    `your_project.your_dataset.matomo_log_visit` AS visit

    LEFT JOIN  

    `your_project.your_dataset.matomo_log_conversion` AS conversion  

    ON  

    visit.idvisit = conversion.idvisit  

    GROUP BY  

    custom_dimension_value; </xmp>
                                   

    This query helps you compare metrics such as the number of visits, average session duration, and total amount spent between paying and non-paying users. It provides a full view of behavioural differences between these groups. 

    Advanced data manipulation and visualisation 

    When you need to create detailed reports or dive deep into data analysis, working within the constraints of a fixed user interface (UI) can limit your ability to draw insights. 

    Exporting your Matomo data to a data warehouse like BigQuery provides greater flexibility for in-depth manipulation and advanced visualisations, enabling you to uncover deeper insights and tailor your reports more effectively. 

    Getting started 

    To set up data warehouse exports in your Matomo : 

    1. Go to System Admin (cog icon in the top right corner) 
    2. Select ‘Export’ from the left-hand menu 
    3. Choose ‘Data Warehouse Connector’ 

    You’ll find detailed instructions in our data warehouse exports guide 

    Please note, enabling this feature will cost an additional 10% of your current subscription. You can view the exact cost by following the steps above. 

    New to Matomo ? Start your 21-day free trial now (no credit card required), or request a demo. 

  • Introducing Updates to the Funnels Feature

    29 mai 2024, par Erin

    We’ve made improvements to the Funnels feature to be more user-friendly and offer you greater flexibility. 

    &lt;script type=&quot;text/javascript&quot;&gt;<br />
           if ('function' === typeof window.playMatomoVideo){<br />
           window.playMatomoVideo(&quot;FunnelsProductUpdate2024&quot;, &quot;#FunnelsProductUpdate2024&quot;)<br />
           } else {<br />
           document.addEventListener(&quot;DOMContentLoaded&quot;, function() { window.playMatomoVideo(&quot;FunnelsProductUpdate2024&quot;, &quot;#FunnelsProductUpdate2024&quot;); });<br />
           }<br />
      &lt;/script&gt;

    Here’s what’s changing :

    Setting up and managing funnels is now easier than ever 

    Previously, creating funnels was tedious and required going through the Goals feature. But we’ve changed that with the introduction of a separate page to configure funnels. 

    Dedicated Manage Funnels page in Matomo

    Create funnels with greater flexibility—no longer tied to goals 

    Funnels is now a standalone feature, providing you with more flexibility. Before, you could only create a funnel if it was tied to a goal, in other words, the final step in the funnel had to be a goal. What’s more, you also couldn’t use goals for steps in the funnel.  

    Previous configuration requirements of Funnels in Matomo
    Previous configuration requirements of Funnels

    Now, funnels are independent of goals, and goals can serve as steps within the funnel. This means you have the freedom to configure any combination of steps in a funnel : 

    • All steps can be goals 
    • No steps need to be goals 
    • Or some steps can be goals, some steps can be events 
    Goals no longer required in Matomo Funnels

    No matter what your customer journey looks like, funnels now offer the versatility to meet your business’s specific needs. 

    Find friction points faster with intuitive visuals 

    One of the most significant improvements is the visual upgrade of the Funnels feature. The new Funnels graph is now visually in line with industry standards and intuitive. 

    New Funnel Analytics chart in Matomo

    The new visual provides a clearer view of your drop-off and conversion rates so you can instantly find points of friction in your funnel to improve the user experience and overall conversion rate.  

    This visualisation also provides a detailed overview of the number of visitors who enter, exit, skip, or proceed at each step of your funnel by using different coloured bars for visual clarity on each step’s performance. 

    With this update, we’ve also replaced ‘backfilled visits’ with ‘skipped steps’ to avoid misinterpretation of the data. 

    New data table for more granular insights 

    Accompanying this visual improvement is a new data table, allowing for more granular insights, segment comparison, and easy data export.

    We’ve also increased Funnel analysis limits. You can now compare funnel data for 2 date periods and 6 segments (up to 12 compared datasets in total). 

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