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Participer à sa traduction
10 avril 2011Vous pouvez nous aider à améliorer les locutions utilisées dans le logiciel ou à traduire celui-ci dans n’importe qu’elle nouvelle langue permettant sa diffusion à de nouvelles communautés linguistiques.
Pour ce faire, on utilise l’interface de traduction de SPIP où l’ensemble des modules de langue de MediaSPIP sont à disposition. ll vous suffit de vous inscrire sur la liste de discussion des traducteurs pour demander plus d’informations.
Actuellement MediaSPIP n’est disponible qu’en français et (...) -
Gestion de la ferme
2 mars 2010, parLa ferme est gérée dans son ensemble par des "super admins".
Certains réglages peuvent être fais afin de réguler les besoins des différents canaux.
Dans un premier temps il utilise le plugin "Gestion de mutualisation" -
Script d’installation automatique de MediaSPIP
25 avril 2011, parAfin de palier aux difficultés d’installation dues principalement aux dépendances logicielles coté serveur, un script d’installation "tout en un" en bash a été créé afin de faciliter cette étape sur un serveur doté d’une distribution Linux compatible.
Vous devez bénéficier d’un accès SSH à votre serveur et d’un compte "root" afin de l’utiliser, ce qui permettra d’installer les dépendances. Contactez votre hébergeur si vous ne disposez pas de cela.
La documentation de l’utilisation du script d’installation (...)
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Video streaming error : Uncaught (in promise) NotSupportedError : Failed to load because no supported source was found
18 septembre 2024, par AizenHere is my problem : I have one video src 1080p (on the frontend). On the frontend, I send this video-route to the backend :


const req = async()=>{try{const res = await axios.get('/catalog/item',{params:{SeriesName:seriesName}});return {data:res.data};}catch(err){console.log(err);return false;}}const fetchedData = await req();-On the backend i return seriesName.Now i can make a full path,what the video is,and where it is,code:


const videoUrl = 'C:/Users/arMori/Desktop/RedditClone/reddit/public/videos';console.log('IT VideoURL',videoUrl);


const selectedFile = `${videoUrl}/${fetchedData.data.VideoSource}/${seriesName}-1080p.mp4`
console.log(`ITS'S SELECTED FILE: ${selectedFile}`);


Ok, I have my src 1080p, now is the time to send it to the backend :


const response = await axios.post('/videoFormat', {videoUrl:selectedFile})console.log('Это консоль лог путей: ',response.data);const videoPaths = response.data;


Backend takes it and FFMpqg makes two types of resolution,720p and 480p,save it to the temp storage on backend, and then returns two routes where these videos stores


async videoUpload(videoUrl:string){try{const tempDir = C:/Users/arMori/Desktop/RedditClone/reddit_back/src/video/temp;const inputFile = videoUrl;console.log('VIDEOURL: ',videoUrl);


const outputFiles = [];
 
 await this.createDirectories(tempDir); 
 outputFiles.push(await this.convertVideo(inputFile, '1280x720', '720p.mp4'));
 outputFiles.push(await this.convertVideo(inputFile, '854x480', '480p.mp4'));
 console.log('OUTUPT FILES SERVICE: ',outputFiles);
 
 return outputFiles;

 }catch(err){
 console.error('VideoFormatterService Error: ',err);
 
 }
}

private convertVideo(inputPath:string,resolution:string,outputFileName:string):Promise<string>{
 const temp = `C:/Users/arMori/Desktop/RedditClone/reddit_back/src/video/temp`;
 return new Promise(async(resolve,reject)=>{
 const height = resolution.split('x')[1];
 console.log('HIEGHT: ',height);
 
 const outputDir = `C:/Users/arMori/Desktop/RedditClone/reddit_back/src/video/temp/${height}p`;
 const outputPath = join(outputDir, outputFileName);
 const isExists = await fs.access(outputPath).then(() => true).catch(() => false);
 if(isExists){ 
 console.log(`File already exists: ${outputPath}`);
 return resolve(outputPath)
 };
 ffmpeg(inputPath)
 .size(`${resolution}`)
 .videoCodec('libx264') // Кодек H.264
 .audioCodec('aac') 
 .output(outputPath)
 .on('end',()=>resolve(outputPath))
 .on('error',(err)=>reject(err))
 .run()
 
 })
}

private async createDirectories(temp:string){
 try{
 const dir720p = `${temp}/720p`;
 const dir480p = `${temp}/480p`;
 const dir720pExists = await fs.access(dir720p).then(() => true).catch(() => false);
 const dir480pExists = await fs.access(dir480p).then(() => true).catch(() => false);
 if(dir720pExists && dir480pExists){
 console.log('FILES ALIVE');
 return;
 }
 if (!dir720pExists) {
 await fs.mkdir(dir720p, { recursive: true });
 console.log('Папка 720p создана');
 }
 
 if (!dir480pExists) {
 await fs.mkdir(dir480p, { recursive: true });
 console.log('Папка 480p создана');
 }
 } catch (err) {
 console.error('Ошибка при создании директорий:', err);
 }
}
</string>

Continue frontentd code :


let videoPath;

if (quality === '720p') {
 videoPath = videoPaths[0];
} else if (quality === '480p') {
 videoPath = videoPaths[1];
}

if (!videoPath) {
 console.error('Video path not found!');
 return;
}

// Получаем видео по его пути
console.log('VIDEOPATH LOG: ',videoPath);
 
const videoRes = await axios.get('/videoFormat/getVideo', { 
 params: { path: videoPath } ,
 headers: { Range: 'bytes=0-' },
 responseType: 'blob'
 });
 console.log('Video fetched: ', videoRes);
 const videoBlob = new Blob([videoRes.data], { type: 'video/mp4' });
 const videoURL = URL.createObjectURL(videoBlob);
 return videoURL;
 /* console.log('Видео успешно загружено:', response.data); */
 } catch (error) {
 console.error('Ошибка при загрузке видео:', error);
 }
}


Here I just choose one of the route and make a new GET request (VideoRes), now in the controller in the backend, I'm trying to do a video streaming :


@Public()
 @Get('/getVideo')
 async getVideo(@Query('path') videoPath:string,@Req() req:Request,@Res() res:Response){
 try {
 console.log('PATH ARGUMENT: ',videoPath);
 console.log('VIDEOPATH IN SERVICE: ',videoPath);
 const videoSize = (await fs.stat(videoPath)).size;
 const CHUNK_SIZE = 10 ** 6;
 const range = req.headers['range'] as string | undefined;
 if (!range) {
 return new ForbiddenException('Range не найденно');
 }
 const start = Number(range.replace(/\D/g,""));
 const end = Math.min(start + CHUNK_SIZE,videoSize - 1);

 const contentLength = end - start + 1;
 const videoStream = fsSync.createReadStream(videoPath, { start, end });
 const headers = {
 'Content-Range':`bytes ${start}-${end}/${videoSize}`,
 'Accept-Ranges':'bytes',
 'Content-Length':contentLength,
 'Content-Type':'video/mp4'
 }
 
 res.writeHead(206,headers);

 // Передаем поток в ответ
 videoStream.pipe(res);
 

 // Если возникнет ошибка при стриминге, логируем ошибку
 videoStream.on('error', (error) => {
 console.error('Ошибка при чтении видео:', error);
 res.status(500).send('Ошибка при чтении видео');
 });
 } catch (error) {
 console.error('Ошибка при обработке запросов:', error);
 return res.status(400).json({ message: 'Ошибка при обработке getVideo запросов' });
 }
 }


Send to the frontend


res.writeHead(206,headers);


In the frontend, I make blob url for video src and return it


const videoBlob = new Blob([videoRes.data], { type: 'video/mp4' });const videoURL = URL.createObjectURL(videoBlob);return videoURL;


And assign src to the video :


useVideo(seriesName,quality).then(src => {
 if (src) {
 console.log('ITS VIDEOLOGISC GOIDA!');
 if(!playRef.current) return;
 
 const oldURL = playRef.current.src;
 if (oldURL && oldURL.startsWith('blob:')) {
 URL.revokeObjectURL(oldURL);
 }
 playRef.current.pause();
 playRef.current.src = '';
 setQuality(quality);
 console.log('SRC: ',src);
 
 playRef.current.src = src;
 playRef.current.load();
 console.log('ITS VIDEOURL GOIDA!');
 togglePlayPause();
 }
 })
 .catch(err => console.error('Failed to fetch video', err));


But the problem is :




Vinland-Saga:1 Uncaught (in promise) NotSupportedError : Failed to load because no supported source was found




And I don't know why...


I tried everything, but I don't understand why src is incorrect..


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Video streamign with FFMpeg and Nest.js+Next.js
17 septembre 2024, par AizenHere is my problem : I have one video src 1080p (on the frontend). On the frontend, I send this video-route to the backend :


const req = async()=>{try{const res = await axios.get('/catalog/item',{params:{SeriesName:seriesName}});return {data:res.data};}catch(err){console.log(err);return false;}}const fetchedData = await req();-On the backend i return seriesName.Now i can make a full path,what the video is,and where it is,code:


const videoUrl = 'C:/Users/arMori/Desktop/RedditClone/reddit/public/videos';console.log('IT VideoURL',videoUrl);


const selectedFile = `${videoUrl}/${fetchedData.data.VideoSource}/${seriesName}-1080p.mp4`
console.log(`ITS'S SELECTED FILE: ${selectedFile}`);


Ok, I have my src 1080p, now is the time to send it to the backend :


const response = await axios.post('/videoFormat', {videoUrl:selectedFile})console.log('Это консоль лог путей: ',response.data);const videoPaths = response.data;


Backend takes it and FFMpqg makes two types of resolution,720p and 480p,save it to the temp storage on backend, and then returns two routes where these videos stores


async videoUpload(videoUrl:string){try{const tempDir = C:/Users/arMori/Desktop/RedditClone/reddit_back/src/video/temp;const inputFile = videoUrl;console.log('VIDEOURL: ',videoUrl);


const outputFiles = [];
 
 await this.createDirectories(tempDir); 
 outputFiles.push(await this.convertVideo(inputFile, '1280x720', '720p.mp4'));
 outputFiles.push(await this.convertVideo(inputFile, '854x480', '480p.mp4'));
 console.log('OUTUPT FILES SERVICE: ',outputFiles);
 
 return outputFiles;

 }catch(err){
 console.error('VideoFormatterService Error: ',err);
 
 }
}

private convertVideo(inputPath:string,resolution:string,outputFileName:string):Promise<string>{
 const temp = `C:/Users/arMori/Desktop/RedditClone/reddit_back/src/video/temp`;
 return new Promise(async(resolve,reject)=>{
 const height = resolution.split('x')[1];
 console.log('HIEGHT: ',height);
 
 const outputDir = `C:/Users/arMori/Desktop/RedditClone/reddit_back/src/video/temp/${height}p`;
 const outputPath = join(outputDir, outputFileName);
 const isExists = await fs.access(outputPath).then(() => true).catch(() => false);
 if(isExists){ 
 console.log(`File already exists: ${outputPath}`);
 return resolve(outputPath)
 };
 ffmpeg(inputPath)
 .size(`${resolution}`)
 .videoCodec('libx264') // Кодек H.264
 .audioCodec('aac') 
 .output(outputPath)
 .on('end',()=>resolve(outputPath))
 .on('error',(err)=>reject(err))
 .run()
 
 })
}

private async createDirectories(temp:string){
 try{
 const dir720p = `${temp}/720p`;
 const dir480p = `${temp}/480p`;
 const dir720pExists = await fs.access(dir720p).then(() => true).catch(() => false);
 const dir480pExists = await fs.access(dir480p).then(() => true).catch(() => false);
 if(dir720pExists && dir480pExists){
 console.log('FILES ALIVE');
 return;
 }
 if (!dir720pExists) {
 await fs.mkdir(dir720p, { recursive: true });
 console.log('Папка 720p создана');
 }
 
 if (!dir480pExists) {
 await fs.mkdir(dir480p, { recursive: true });
 console.log('Папка 480p создана');
 }
 } catch (err) {
 console.error('Ошибка при создании директорий:', err);
 }
}
</string>

Continue frontentd code :


let videoPath;

if (quality === '720p') {
 videoPath = videoPaths[0];
} else if (quality === '480p') {
 videoPath = videoPaths[1];
}

if (!videoPath) {
 console.error('Video path not found!');
 return;
}

// Получаем видео по его пути
console.log('VIDEOPATH LOG: ',videoPath);
 
const videoRes = await axios.get('/videoFormat/getVideo', { 
 params: { path: videoPath } ,
 headers: { Range: 'bytes=0-' },
 responseType: 'blob'
 });
 console.log('Video fetched: ', videoRes);
 const videoBlob = new Blob([videoRes.data], { type: 'video/mp4' });
 const videoURL = URL.createObjectURL(videoBlob);
 return videoURL;
 /* console.log('Видео успешно загружено:', response.data); */
 } catch (error) {
 console.error('Ошибка при загрузке видео:', error);
 }
}


Here I just choose one of the route and make a new GET request (VideoRes), now in the controller in the backend, I'm trying to do a video streaming :


@Public()
 @Get('/getVideo')
 async getVideo(@Query('path') videoPath:string,@Req() req:Request,@Res() res:Response){
 try {
 console.log('PATH ARGUMENT: ',videoPath);
 console.log('VIDEOPATH IN SERVICE: ',videoPath);
 const videoSize = (await fs.stat(videoPath)).size;
 const CHUNK_SIZE = 10 ** 6;
 const range = req.headers['range'] as string | undefined;
 if (!range) {
 return new ForbiddenException('Range не найденно');
 }
 const start = Number(range.replace(/\D/g,""));
 const end = Math.min(start + CHUNK_SIZE,videoSize - 1);

 const contentLength = end - start + 1;
 const videoStream = fsSync.createReadStream(videoPath, { start, end });
 const headers = {
 'Content-Range':`bytes ${start}-${end}/${videoSize}`,
 'Accept-Ranges':'bytes',
 'Content-Length':contentLength,
 'Content-Type':'video/mp4'
 }
 
 res.writeHead(206,headers);

 // Передаем поток в ответ
 videoStream.pipe(res);
 

 // Если возникнет ошибка при стриминге, логируем ошибку
 videoStream.on('error', (error) => {
 console.error('Ошибка при чтении видео:', error);
 res.status(500).send('Ошибка при чтении видео');
 });
 } catch (error) {
 console.error('Ошибка при обработке запросов:', error);
 return res.status(400).json({ message: 'Ошибка при обработке getVideo запросов' });
 }
 }


Send to the frontend


res.writeHead(206,headers);


In the frontend, I make blob url for video src and return it


const videoBlob = new Blob([videoRes.data], { type: 'video/mp4' });const videoURL = URL.createObjectURL(videoBlob);return videoURL;


And assign src to the video :


useVideo(seriesName,quality).then(src => {
 if (src) {
 console.log('ITS VIDEOLOGISC GOIDA!');
 if(!playRef.current) return;
 
 const oldURL = playRef.current.src;
 if (oldURL && oldURL.startsWith('blob:')) {
 URL.revokeObjectURL(oldURL);
 }
 playRef.current.pause();
 playRef.current.src = '';
 setQuality(quality);
 console.log('SRC: ',src);
 
 playRef.current.src = src;
 playRef.current.load();
 console.log('ITS VIDEOURL GOIDA!');
 togglePlayPause();
 }
 })
 .catch(err => console.error('Failed to fetch video', err));


But the problem is :




Vinland-Saga:1 Uncaught (in promise) NotSupportedError : Failed to load because no supported source was found




And I don't know why...


I tried everything, but I don't understand why src is incorrect..


-
What is Google Analytics data sampling and what’s so bad about it ?
16 août 2019, par Joselyn Khor — Analytics Tips, DevelopmentWhat is Google Analytics data sampling, and what’s so bad about it ?
Google (2019) explains what data sampling is :
“In data analysis, sampling is the practice of analysing a subset of all data in order to uncover the meaningful information in the larger data set.”[1]
This is basically saying instead of analysing all of the data, there’s a threshold on how much data is analysed and any data after that will be an assumption based on patterns.
Google’s (2019) data sampling thresholds :
Ad-hoc queries of your data are subject to the following general thresholds for sampling :
[Google] Analytics Standard : 500k sessions at the property level for the date range you are using
[Google] Analytics 360 : 100M sessions at the view level for the date range you are using (para. 3) [2]This threshold is limiting because your data in GA may become more inaccurate as the traffic to your website increases.
Say you’re looking through all your traffic data from the last year and find you have 5 million page views. Only 500K of that 5 million is accurate ! The data for the remaining 4.5 million (90%) is an assumption based on the 500K sample size.
This is a key weapon Google uses to sell to large businesses. In order to increase that threshold for more accurate reporting, upgrading to premium Google Analytics 360 for approximately US$150,000 per year seems to be the only choice.
What’s so bad about data sampling ?
It’s unfair to say sampled data is to be disregarded completely. There is a calculation ensuring it is representative and can allow you to get good enough insights. However, we don’t encourage it as we don’t just want “good enough” data. We want the actual facts.
In a recent survey sent to Matomo customers, we found a large proportion of users switched from GA to Matomo due to the data sampling issue.
The two reasons why data sampling isn’t preferable :
- If the selected sample size is too small, you won’t get a good representative of all the data.
- The bigger your website grows, the more inaccurate your reports will become.
An example of why we don’t fully trust sampled data is, say you have an ecommerce store and see your GA revenue reports aren’t matching the actual sales data, due to data sampling. In GA you may be seeing revenue for the month as $1 million, instead of actual sales of $800K.
The sampling here has caused an inaccuracy that could have negative financial implications. What you get in the GA report is an estimated dollar figure rather than the actual sales. Making decisions based on inaccurate data can be costly in this case.
Another disadvantage to sampled data is that you might be missing out on opportunities you would’ve noticed if you were given a view of the whole. E.g. not being able to see real patterns occurring due to the data already being predicted.
By not getting a chance to see things as they are and only being able to jump to the conclusions and assumptions made by GA is risky. The bigger your business grows, the less you can risk making business decisions based on assumptions that could be inaccurate.
If you feel you could be missing out on opportunities because your GA data is sampled data, get 100% accurately reported data.
The benefits of 100% accurate data
Matomo doesn’t use data sampling on any of our products or plans. You get to see all of your data and not a sampled data set.
Data quality is necessary for high impact decision-making. It’s hard to make strategic changes if you don’t have confidence that your data is reliable and accurate.
Learn about how Matomo is a serious contender to Google Analytics 360.
Now you can import your Google Analytics data directly into your Matomo
If you’re wanting to make the switch to Matomo but worried about losing all your historic Google Analytics data, you can now import this directly into your Matomo with the Google Analytics Importer tool.
Take the challenge !Compare your Google Analytics data (sampled data) against your Matomo data, or if you don’t have Matomo data yet, sign up to our 30-day free trial and start tracking !
References :
[1 & 2] About data sampling. (2019). In Analytics Help About data sampling. Retrieved August 14, 2019, from https://support.google.com/analytics/answer/2637192
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