graphene-file-upload | Enhances Graphene Django GraphQL Server for intuitive file | GraphQL library

by lmcgartland Python Version: 1.3.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | graphene-file-upload Summary

graphene-file-upload is a Python library typically used in Web Services, GraphQL, Apollo applications. graphene-file-upload has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install graphene-file-upload' or download it from GitHub, PyPI.

Enhances Graphene Django GraphQL Server for intuitive file uploads via GraphQL mutations.

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Quality

Security

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Support

graphene-file-upload has a low active ecosystem.

It has 283 star(s) with 49 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 11 open issues and 27 have been closed. On average issues are closed in 24 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of graphene-file-upload is 1.3.0

Quality

graphene-file-upload has 0 bugs and 0 code smells.

Security

graphene-file-upload has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

graphene-file-upload code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

graphene-file-upload is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

graphene-file-upload releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

graphene-file-upload saves you 159 person hours of effort in developing the same functionality from scratch.

It has 588 lines of code, 28 functions and 22 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Parse request body
Add a file to a list of operations
Place files into operations
Create a new dictionary of dicts
Return new_list with new_value replaced

Get all kandi verified functions for this library.

graphene-file-upload Key Features

No Key Features are available at this moment for graphene-file-upload.

graphene-file-upload Examples and Code Snippets

No Code Snippets are available at this moment for graphene-file-upload.

Community Discussions

Trending Discussions on graphene-file-upload

Send files via Apollo Client and receive in Graphene Flask server

QUESTION

Send files via Apollo Client and receive in Graphene Flask server

Asked 2020-Oct-22 at 01:43

I'm using Graphene package in my Flask app (https://github.com/graphql-python/graphene) and graphene-file-upload (https://pypi.org/project/graphene-file-upload/). I need to receive a file through a mutation as bellow:

...

ANSWER

Answered 2020-Oct-22 at 01:43

Did you import Upload from graphene_file_upload.scalars? You also need to make sure you fix the view function you hook up to your /graphql view

Source https://stackoverflow.com/questions/63662225

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

Vulnerabilities

No vulnerabilities reported

Install graphene-file-upload

You can install using 'pip install graphene-file-upload' or download it from GitHub, PyPI.
You can use graphene-file-upload 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.