stream-file | Small JS library to abstract | Runtime Evironment library

From a database migration, we have a data-dump in a postgreSQL database. The task is to write a script in java or groovy in order to read out the files in the correct format and save them to the server. For some files, the mime_type is specified (e.g. application/pdf, image/png) in a column 'mime_type'. In these cases, i was able to save them in the correct format. (-> read them in as byte array input stream, save them as a file in the corresponding format).

But 90% of the files have mime_type "application/octet-stream". In these cases, i suspect the type or format of the file is just unkown. In order to be able to save them in the correct format (e.g. pdf of png), i'd somehow need to be able to find out what type the files could be. And then convert them accordingly.

I already tried the URLConnection.guessContentTypeFromStream(inputStream) method, but this did not recognise the mime_type.

I am trying to achieve uploading an MP4 video to Azure Media services; making it available for streaming via a streaming URL, as well as more importantly and specifically to this question: upload .VTT captions to be shown within the video.

I have worked on integrating the code within this tutorial, more specifically the EncodeAndStreamFiles sample app (described in the document) as a DotNetCore API.

I have managed to retrieve a list of streaming URLs for the Video, and the stream works well (the video is playable).

The next step is uploading a .VTT caption (or subtitle). Unfortunately, I have not found any official documentation from Microsoft regarding this subject. This Stack Overflow question is the only useful information I found. Based on the answers to the question; I am uploading the caption within the same blob container as the video's output asset and referring to it by editing the video's streaming URL (replacing the last part).

So if the video's streaming URL is this:

https://azuremediaservicename-euwe.streaming.media.azure.net/2e262dca-23d9-453d-be00-6a7e60167ab7/HR%20documents.ism/manifest(format=m3u8-aapl)

Then the caption's streaming URL would be:

https://azuremediaservicename-euwe.streaming.media.azure.net/2e262dca-23d9-453d-be00-6a7e60167ab7/HR%20documents.vtt

I am trying to display the video and the caption using the advanced options within this tool. The caption appears within the options, but the actual words don't appear on screen.

I have 2 questions -

1. Is the uploading of the Caption as part of the blob container, the correct way to upload captions? Or is there a better way (perhaps via the SDK) that I haven't run into yet?

2. If the answer to 1. is Yes, how should the streaming URL for the caption be generated? Is the example shown above correct?

I am trying to parse very large gzip compressed (10+GB) file in python3. Instead of creating the parse tree, instead I used embedded actions based on the suggestions in this answer.

However, looking at the FileStream code it wants to read the entire file and then parse it. This will not work for big files.

So, this is a two part question.

• Can ANTLR4 use a file stream, probably custom, that allows it to read chunks of the file at a time? What should the class interface look like?
• Predicated on the above having "yes", would that class need to handle seek operations, which would be a problem if the underlying file is gzip compressed?

A simple way to read files line by line top to bottom:

I am new to azure & azure media services. I started creating sample by following https://docs.microsoft.com/en-us/azure/media-services/latest/stream-files-tutorial-with-api.

I have created media service & storage service. Now but when I reach to "API access" section. I am keep getting following error even I am top level admin role.

& the link is not that much helpful or guide what i need to do.

That would be great help if anyone can guide me what i am missing.

I am trying to understand flags and modes of file descriptors.

The man page for

I'm trying to figure out how to backup videos produced by Azure Media Services.

Where are the assets and streaming locators stored, how to backup them or recreate them for existing binary files stored in the Azure Media Service's blob storage?

Proposed solution:

I've come up with a solution, once the video is processed by transformation job, the app will create a copy of the container to separate backup blob storage. Since, from my understanding, the data produced by transformation jobs are immutable, I don't have to manage another synchronization.

I am trying to work with Kafka Streams and I have created the following Topology:

I followed this tutorial to compile a MongoDB on a raspberry pi. I ended up with the content of the tarball which is on the same repo.

The unpacked archive has the following structure: