twit VS node-fluent-ffmpeg

I'm writing a simple Twitter app using react-native. Using twit module to get twitter feeds and stream. Below is the code, it works fine node. However, when included into my react-native app, seeing error "Requiring unknown module "crypto"". Dependency seems to be myapp->twit->oauth->crypto (thats part of node v0.12.2). Any suggestions to get this working inside react-native environment?

There was an issue raised about it on GitHub here -> https://github.com/ttezel/twit/issues/204

Twit

It need some coding skills, but if you have a base knowledge, it is pretty easy, you would need a hosting service (I use heroku because it has a free plan) and some libraries (here for node.js because it's what heroku accept). So I used the twit library to connect to the twitter api combined with a youtube search library to search for a video, youtube dl library to get the video download link and a ffmpeg library to download only the part I need and sometime resize the video.

Since everything is hooked up, now we can focus on coding our bot. For the sake of simplicity, I’m going to focus on just sending out a single tweet. We’re going to use a Twitter API client for Node.js called ‘Twit’. https://github.com/ttezel/twit

Follow the examples in these code repos: https://github.com/tweepy/tweepy/blob/master/examples/oauth.py is an example for https://github.com/tweepy/tweepy (if you want to do Python 3 code) https://github.com/ttezel/twit#usage is an example for https://github.com/ttezel/twit (if you want to do Node JS code)

Seguindo a documentação do Twit, usaremos o Twit.stream para "escutar" um filtro. Neste caso, será feito um filtro no @ da conta, para quando for mecionado possa responder o tweet. Veja o código a baixo do arquivo bot.js:

Your required credentials for Twit.

Although for big files, `-fps` turns out to be slow. https://github.com/fluent-ffmpeg/node-fluent-ffmpeg/issues/4... is a much better solution - multiple `-ss` and `-i` on the same file. For the 14GB 4K video I tested, `-fps 1/462` was going to take ~4h, `-vf fps="fps=1/60"` was about 60 minutes, and the multiple `-ss` variant took ~35s.

there are lots of libraries for this. here's one in js/node: https://github.com/fluent-ffmpeg/node-fluent-ffmpeg

It need some coding skills, but if you have a base knowledge, it is pretty easy, you would need a hosting service (I use heroku because it has a free plan) and some libraries (here for node.js because it's what heroku accept). So I used the twit library to connect to the twitter api combined with a youtube search library to search for a video, youtube dl library to get the video download link and a ffmpeg library to download only the part I need and sometime resize the video.

This project wouldn't be possible without three wonderful open-source projects: the node-gtts library, the fluent-ffmpeg library and the youtube-to-anchorfm repository. I have known for years how wonderful our software development global community is, so I’m impressed, but not surprised 🥰.

For more nuanced arguments, we'll have to find a better way of setting them. The original fluent-ffmpeg project has a decent way of handling complex filters. You can pass in an array of ffmpeg filter strings or objects with keys that make it a little bit more intuitive. Would definitely want to try something along those lines.

If you are talking about creating thumbnails at any possible time in the video upon user interaction, then check this out. If this doesn't work for you, you could also just generate the thumbnail on the server by sending the server where the user paused and calling the ffmpeg CLI with child_process.