into-stream | Convert a | Runtime Evironment library

 by   sindresorhus JavaScript Version: 8.0.1 License: MIT

kandi X-RAY | into-stream Summary

kandi X-RAY | into-stream Summary

into-stream is a JavaScript library typically used in Server, Runtime Evironment, Nodejs, NPM applications. into-stream has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub, Maven.

Convert a string/promise/array/iterable/asynciterable/buffer/typedarray/arraybuffer/object into a stream
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            kandi-support Support

              into-stream has a low active ecosystem.
              It has 172 star(s) with 10 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 5 have been closed. On average issues are closed in 134 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of into-stream is 8.0.1

            kandi-Quality Quality

              into-stream has 0 bugs and 0 code smells.

            kandi-Security Security

              into-stream has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              into-stream code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              into-stream is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              into-stream releases are available to install and integrate.
              Deployable package is available in Maven.
              Installation instructions are not available. Examples and code snippets are available.

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            into-stream Key Features

            No Key Features are available at this moment for into-stream.

            into-stream Examples and Code Snippets

            No Code Snippets are available at this moment for into-stream.

            Community Discussions

            QUESTION

            How can one use the StorageStreamDownloader to stream download from a blob and stream upload to a different blob?
            Asked 2021-Mar-15 at 02:53

            I believe I have a very simple requirement for which a solution has befuddled me. I am new to the azure-python-sdk and have had little success with its new blob streaming functionality.

            Some context

            I have used the Java SDK for several years now. Each CloudBlockBlob object has a BlobInputStream and a BlobOutputStream object. When a BlobInputStream is opened, one can invoke its many functions (most notably its read() function) to retrieve data in a true-streaming fashion. A BlobOutputStream, once retrieved, has a write(byte[] data) function where one can continuously write data as frequently as they want until the close() function is invoked. So, it was very easy for me to:

            1. Get a CloudBlockBlob object, open it's BlobInputStream and essentially get back an InputStream that was 'tied' to the CloudBlockBlob. It usually maintained 4MB of data - at least, that's what I understood. When some amount of data is read from its buffer, a new (same amount) of data is introduced, so it always has approximately 4MB of new data (until all data is retrieved).
            2. Perform some operations on that data.
            3. Retrieve the CloudBlockBlob object that I am uploading to, get it's BlobOutputStream, and write to it the data I did some operations on.

            A good example of this is if I wanted to compress a file. I had a GzipStreamReader class that would accept an BlobInputStream and an BlobOutputStream. It would read data from the BlobInputStream and, whenever it has compressed some amount of data, write to the BlobOutputStream. It could call write() as many times as it wished; when it finishes reading all the daya, it would close both Input and Output streams, and all was good.

            Now for Python

            Now, the Python SDK is a little different, and obviously for good reason; the io module works differently than Java's InputStream and OutputStream classes (which the Blob{Input/Output}Stream classes inherit from. I have been struggling to understand how streaming truly works in Azure's python SDK. To start out, I am just trying to see how the StorageStreamDownloader class works. It seems like the StorageStreamDownloader is what holds the 'connection' to the BlockBlob object I am reading data from. If I want to put the data in a stream, I would make a new io.BytesIO() and pass that stream to the StorageStreamDownloader's readinto method.

            For uploads, I would call the BlobClient's upload method. The upload method accepts a data parameter that is of type Union[Iterable[AnyStr], IO[AnyStr]].

            I don't want to go into too much detail about what I understand, because what I understand and what I have done have gotten me nowhere. I am suspicious that I am expecting something that only the Java SDK offers. But, overall, here are the problems I am having:

            1. When I call download_blob, I get back a StorageStreamDownloader with all the data in the blob. Some investigation has shown that I can use the offset and length to download the amount of data I want. Perhaps I can call it once with a download_blob(offset=0, length=4MB), process the data I get back, then again call download_bloc(offset=4MB, length=4MB), process the data, etc. This is unfavorable. The other thing I could do is utilize the max_chunk_get_size parameter for the BlobClient and turn on the validate_content flag (make it true) so that the StorageStreamDownloader only downloads 4mb. But this all results in several problems: that's not really streaming from a stream object. I'll still have to call download and readinto several times. And fine, I would do that, if it weren't for the second problem:
            2. How the heck do I stream an upload? The upload can take a stream. But if the stream doesn't auto-update itself, then I can only upload once, because all the blobs I deal with must be BlockBlobs. The docs for the upload_function function say that I can provide a param overwrite that does:

            keyword bool overwrite: Whether the blob to be uploaded should overwrite the current data. If True, upload_blob will overwrite the existing data. If set to False, the operation will fail with ResourceExistsError. The exception to the above is with Append blob types: if set to False and the data already exists, an error will not be raised and the data will be appended to the existing blob. If set overwrite=True, then the existing append blob will be deleted, and a new one created. Defaults to False.

            1. And this makes sense because BlockBlobs, once written to, cannot be written to again. So AFAIK, you can't 'stream' an upload. If I can't have a stream object that is directly tied to the blob, or holds all the data, then the upload() function will terminate as soon as it finishes, right?

            Okay. I am certain I am missing something important. I am also somewhat ignorant when it comes to the io module in Python. Though I have developed in Python for a long time, I never really had to deal with that module too closely. I am sure I am missing something, because this functionality is very basic and exists in all the other azure SDKs I know about.

            To recap

            Everything I said above can honestly be ignored, and only this portion read; I am just trying to show I've done some due diligence. I want to know how to stream data from a blob, process the data I get in a stream, then upload that data. I cannot be receiving all the data in a blob at once. Blobs are likely to be over 1GB and all that pretty stuff. I would honestly love some example code that shows:

            1. Retrieving some data from a blob (the data received in one call should not be more than 10MB) in a stream.
            2. Compressing the data in that stream.
            3. Upload the data to a blob.

            This should work for blobs of all sizes; whether its 1MB or 10MB or 10GB should not matter. Step 2 can be anything really; it can also be nothing. Just as long as long as data is being downloaded, inserted into a stream, then uploaded, that would be great. Of course, the other extremely important constraint is that the data per 'download' shouldn't be an amount more than 10MB.

            I hope this makes sense! I just want to stream data. This shouldn't be that hard.

            Edit:

            Some people may want to close this and claim the question is a duplicate. I have forgotten to include something very important: I am currently using the newest, mot up-to-date azure-sdk version. My azure-storage-blob package's version is 12.5.0. There have been other questions similar to what I have asked for severely outdated versions. I have searched for other answers, but haven't found any for 12+ versions.

            ...

            ANSWER

            Answered 2021-Mar-15 at 02:53

            If you want to download azure blob in chunk, process every chunk data and upload every chunk data to azure blob, please refer to the follwing code

            Source https://stackoverflow.com/questions/66617548

            QUESTION

            Loading Azure Text to Speech output to Azure Blob
            Asked 2020-Sep-10 at 06:14

            I need some guidance. My Azure function (written in node.js) will convert some random text to speech and then upload the speech output to a Blob. I will like to do so without using an intermediate local file. BlockBLobClient.upload method requires a Blob, string, ArrayBuffer, ArrayBufferView or a function which returns a new Readable stream, and also the content length. I am not able to get these from the RequestPromise object returned by call to TTS (As of now I am using request-promise to call TTS). Any suggestions will be really appreciated.

            Thank you

            Adding a code sample that can be tested as "node TTSSample.js" Sample code is based on

            1. Azure Blob stream related code shared at https://github.com/Azure-Samples/azure-sdk-for-js-storage-blob-stream-nodejs/blob/master/v12/routes/index.js

            2. Azure Text to speech sample code at https://github.com/Azure-Samples/Cognitive-Speech-TTS/tree/master/Samples-Http/NodeJS

            3. Replace appropriate keys and parameters in the enclosed settings.js

            4. I am using node.js runtime v12.18.3

            5. Input text and the output blob name are hard coded in this code sample.

              ...

            ANSWER

            Answered 2020-Sep-10 at 06:14

            Regarding the issue, please refer to the following code

            Source https://stackoverflow.com/questions/63804182

            QUESTION

            python azure blob readinto with requests stream upload
            Asked 2020-Jul-22 at 06:09

            I have videos saved in azure blob storage and i want to upload them into facebook. Facebook video upload is a multipart/form-data post request. Ordinary way of doing this is download azure blob as bytes using readall() method in azure python sdk and set it in requests post data as follows.

            ...

            ANSWER

            Answered 2020-Jul-22 at 06:09

            Regarding how to upload video in chunk with stream, please refer to the following code

            Source https://stackoverflow.com/questions/62996226

            QUESTION

            Value is "null" when trying to read from a file using StreamReader with Xamarin Forms
            Asked 2018-Mar-25 at 21:23

            So I'm trying to have my code read text in from a file and display it in a scrollView, with a stationary label at the top. Think of an e-reader, where the book's title is pinned to the top of the screen, but the content scrolls. I've copied the text verbatim from an example in the "Creating Mobile Apps with Xamarin" book that I downloaded from Xamarin's website. However, when I run my code, no text is displayed; the screen just shows blank white, as though the app is running on the emulator, but has no code assigned to it. Using Visual Studio's debugger, I stepped into the code and realized that, for some reason, the variable "stream" is not being assigned a value -- its value is null, according to the debugger, which is causing a "value cannot be null" exception. This is only the second code I've tried to make with Xamarin Forms, using the book as a template, and I'm just stumped on why "stream" is not being assigned a value. Hopefully one of you lovely people can help me out!

            If it would help to see the code I'm referencing, that can be found in the book available for download from Microsoft here, on pages 105-106 of the PDF (or pages 84-85, if you're going by the book's page numbers).

            Things I've tried:

            • I've used assembly.GetManifestResourceNames() to make sure I'm typing the resource ID correctly. I originally had it as "ereader.Texts.JP.txt" because the program itself is called cdern_lab10, and I thought that was the namespace. However, GetManifestResourceNames() returned "JP.Texts.JP.txt", so I changed it.
            • I've double-checked to make sure the resource is marked as an embedded resource, and it is. I've also deleted and re-added the resource, and checked again to make sure it's embedded. It's stored in a folder within the project named "Texts".

            Note: There was a similar question asked on here about a year ago (here), but it appears it was never really answered.

            ...

            ANSWER

            Answered 2018-Mar-25 at 21:23

            You can try something like this:

            Source https://stackoverflow.com/questions/49480863

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install into-stream

            You can download it from GitHub, Maven.

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            Install
          • npm

            npm i into-stream

          • CLONE
          • HTTPS

            https://github.com/sindresorhus/into-stream.git

          • CLI

            gh repo clone sindresorhus/into-stream

          • sshUrl

            git@github.com:sindresorhus/into-stream.git

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