Google-Drive-Uploader | Telegram bot To upload Files | Bot library

 by   aryanvikash Python Version: Current License: No License

kandi X-RAY | Google-Drive-Uploader Summary

kandi X-RAY | Google-Drive-Uploader Summary

Google-Drive-Uploader is a Python library typically used in Automation, Bot applications. Google-Drive-Uploader has build file available and it has low support. However Google-Drive-Uploader has 2 bugs and it has 4 vulnerabilities. You can download it from GitHub.

Telegram bot To upload Files To Google Drive Remotely @gdriveupme_bot (outdated)
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              Google-Drive-Uploader has a low active ecosystem.
              It has 283 star(s) with 918 fork(s). There are 18 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 7 open issues and 8 have been closed. On average issues are closed in 45 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Google-Drive-Uploader is current.

            kandi-Quality Quality

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              Google-Drive-Uploader has 2 bugs (1 blocker, 0 critical, 1 major, 0 minor) and 23 code smells.

            kandi-Security Security

              Google-Drive-Uploader has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              OutlinedDot
              Google-Drive-Uploader code analysis shows 4 unresolved vulnerabilities (4 blocker, 0 critical, 0 major, 0 minor).
              There are 7 security hotspots that need review.

            kandi-License License

              Google-Drive-Uploader does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Google-Drive-Uploader 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.
              Installation instructions are not available. Examples and code snippets are available.
              Google-Drive-Uploader saves you 302 person hours of effort in developing the same functionality from scratch.
              It has 727 lines of code, 45 functions and 12 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Google-Drive-Uploader and discovered the below as its top functions. This is intended to give you an instant insight into Google-Drive-Uploader implemented functionality, and help decide if they suit your requirements.
            • Download a file
            • Download a file from a URL
            • Get dropbox url
            • Download a file
            • Upload a file
            • Get all files
            • Encrypt an attribute
            • Handle token
            • Check if a token is a valid token
            • Creates a Session instance from ephemeral
            • Login to ephemeral
            • Get public URL
            Get all kandi verified functions for this library.

            Google-Drive-Uploader Key Features

            No Key Features are available at this moment for Google-Drive-Uploader.

            Google-Drive-Uploader Examples and Code Snippets

            No Code Snippets are available at this moment for Google-Drive-Uploader.

            Community Discussions

            Trending Discussions on Google-Drive-Uploader

            QUESTION

            Download and upload file in-memory to Google Drive
            Asked 2021-Jan-07 at 20:03

            Goal

            Download and upload a file to Google Drive purely in-memory using Google Drive APIs Resumable URL.

            Challenge / Problem

            I want to buffer the file as its being downloaded to memory (not filesystem) and subsequently upload to Google Drive. Google Drive API requires chunks to be a minimum length of 256 * 1024, (262144 bytes).

            The process should pass a chunk from the buffer to be uploaded. If the chunk errors, that buffer chunk is retried up to 3 times. If the chunk succeeds, that chunk from the buffer should be cleared, and the process should continue until complete.

            Background Efforts / Research (references below)

            Most of the articles, examples and packages I've researched and tested have given some insight into streaming, piping and chunking, but use the filesystem as the starting point from a readable stream.

            I've tried different approaches with streams like passthrough with highWaterMark and third-party libraries such as request, gaxios, and got which have built in stream/piping support but with no avail on the upload end of the processes.

            Meaning, I am not sure how to structure the piping or chunking mechanism, whether with a buffer or pipeline to properly flow to the upload process until completion, and handle the progress and finalizing events in an efficient manner.

            Questions

            1. With the code below, how do I appropriately buffer the file and PUT to the google provided URL with the correct Content-Length and Content-Range headers, while having enough buffer space to handle 3 retries?

            2. In terms of handling back-pressure or buffering, is leveraging .cork() and .uncork() an efficient way to manage the buffer flow?

            3. Is there a way to use a Transform stream with highWaterMark and pipeline to manage the buffer efficiently? e.g...

            ...

            ANSWER

            Answered 2021-Jan-06 at 01:51

            I believe your goal and current situation as follows.

            • You want to download a data and upload the downloaded data to Google Drive using Axios with Node.js.
            • For uploading the data, you want to upload using the resumable upload with the multiple chunks by retrieving the data from the stream.
            • Your access token can be used for uploading the data to Google Drive.
            • You have already known the data size and mimeType of the data you want to upload.
            Modification points:
            • In this case, in order to achieve the resumable upload with the multiple chunks, I would like to propose the following flow.

              1. Download data from URL.
              2. Create the session for the resumable upload.
              3. Retrieve the downloaded data from the stream and convert it to the buffer.
                • For this, I used stream.Transform.
                • In this case, I stop the stream and upload the data to Google Drive. I couldn't think the method that this can be achieved without stopping the stream.
                • I thought that this section might be the answer for your question 2 and 3.
              4. When the buffer size is the same with the declared chunk size, upload the buffer to Google Drive.
                • I thought that this section might be the answer for your question 3.
              5. When the upload occurs an error, the same buffer is uploaded again. In this sample script, 3 retries are run. When 3 retries are done, an error occurs.
                • I thought that this section might be the answer for your question 1.

            When above flow is reflected to your script, it becomes as follows.

            Modified script:

            Please set the variables in the function main().

            Source https://stackoverflow.com/questions/65570556

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

            Vulnerabilities

            No vulnerabilities reported

            Install Google-Drive-Uploader

            You can download it from GitHub.
            You can use Google-Drive-Uploader 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.

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