download-large-files | stream download large file | Download Utils library

by wangy8961 Python Version: Current License: No License

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kandi X-RAY | download-large-files Summary

download-large-files is a Python library typically used in Utilities, Download Utils applications. download-large-files has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Introduces how to stream download large files and realize the function of resuming uploads from breakpoints. Download the bytes of a large file sequentially and download each segment of a large file out of order, respectively perform multi-thread or coroutine concurrency, and also realize concurren

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download-large-files has a low active ecosystem.

It has 17 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

download-large-files has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of download-large-files is current.

Quality

download-large-files has 0 bugs and 0 code smells.

Security

download-large-files has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

download-large-files code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

download-large-files does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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download-large-files releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed download-large-files and discovered the below as its top functions. This is intended to give you an instant insight into download-large-files implemented functionality, and help decide if they suit your requirements.

Crawl a multipart upload
Fetch a single file
Fetch data from a zip file
Wrapper for requests
Download a part by range

Get all kandi verified functions for this library.

download-large-files Key Features

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download-large-files Examples and Code Snippets

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Community Discussions

Trending Discussions on download-large-files

Downloading files from public Google Drive in python: scoping issues?

Upload large file using multiple connections/threads to an SFTP server with Python Paramiko

QUESTION

Downloading files from public Google Drive in python: scoping issues?

Asked 2022-Mar-07 at 17:22

Using my answer to my question on how to download files from a public Google drive I managed in the past to download images using their IDs from a python script and Google API v3 from a public drive using the following bock of code:

...

ANSWER

Answered 2022-Mar-04 at 12:57

Well thanks to the security update released by Google few months before. This makes the link sharing stricter and you need resource key as well to access the file in-addition to the fileId.

As per the documentation , You need to provide the resource key as well for newer links, if you want to access it in the header X-Goog-Drive-Resource-Keys as fileId1/resourceKey1.

If you apply this change in your code, it will work as normal. Example edit below:

Source https://stackoverflow.com/questions/71343002

QUESTION

Upload large file using multiple connections/threads to an SFTP server with Python Paramiko

Asked 2021-Feb-15 at 08:44

I am trying to SFTP a file to a remote server in chunks using threads and the python paramiko library.

It opens a local file and sftp chunks to the remote server in different threads.

I am basically following this solution which uses the same approach to download large file over SFTP. I would like to send large files instead. Downloading solution

However, I'm getting in write_chunks() on the line for chunk in infile.readv(chunks): in getting this error:

AttributeError: '_io.BufferedReader' object has no attribute 'readv'

Could anybody assist with this error please. I thought that infile is a file descriptor. I don't understand why it is an _io.BufferedReader object.

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ANSWER

Answered 2021-Feb-15 at 08:44

For an example how to do a parallel multi part upload of one large file, see the following example.

Note that most SFTP servers (including OpenSSH) do not allow merging files remotely. So you have to revert to shell command for that.

Source https://stackoverflow.com/questions/66161206

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

Vulnerabilities

No vulnerabilities reported

Install download-large-files

You can download it from GitHub.
You can use download-large-files like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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