graphene-gae | GraphQL Support for Google AppEngine | GraphQL library

by graphql-python Python Version: 2.0.dev2017073101 License: BSD-3-Clause

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

kandi X-RAY | graphene-gae Summary

graphene-gae is a Python library typically used in Web Services, GraphQL, Apollo applications. graphene-gae 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-gae' or download it from GitHub, PyPI.

GraphQL Support for Google AppEngine [DEPRECATED - Looking for maintainers]

Support

Quality

Security

License

Reuse

Support

graphene-gae has a low active ecosystem.

It has 119 star(s) with 13 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 9 have been closed. On average issues are closed in 126 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of graphene-gae is 2.0.dev2017073101

Quality

graphene-gae has 0 bugs and 0 code smells.

Security

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

graphene-gae code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

graphene-gae is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

graphene-gae releases are available to install and integrate.

Deployable package is available in PyPI.

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

graphene-gae saves you 722 person hours of effort in developing the same functionality from scratch.

It has 1667 lines of code, 138 functions and 27 files.

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

Top functions reviewed by kandi - BETA

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

Handle exceptions
Creates a failed response
Format an error
Encode the given data
Wrapper for a connection resolver
Create a connection from an NDB query
Generate list of edges from ndb
Convert an NDB model to a dict
Convert an NDB property to GraphQL field
Get the version number of a given package
Return build number
Mutate a ship payload
Create a new ship
Convert a DynamicNdbKeyProp to a DynamicNdbKeyProp
Converts a local ndb structuredProperty to a native type

Get all kandi verified functions for this library.

graphene-gae Key Features

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

graphene-gae Examples and Code Snippets

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

Community Discussions

Trending Discussions on graphene-gae

Graphene-Python documentation on clients view

QUESTION

Graphene-Python documentation on clients view

Asked 2017-Dec-13 at 17:13

The description property on GraphQL's schema elements can be viewed by the client. For example, GraphQL shows the description value for a field object in the type-ahead dropdown that lists fields available inside a selection set. This same description appears on the documentation section. Can this type of metadata documentation be added through graphene-gae? My set up:

models.py:

...

ANSWER

Answered 2017-Dec-13 at 17:13

I can add descriptions like this:

Source https://stackoverflow.com/questions/45112392

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

Vulnerabilities

No vulnerabilities reported

Install graphene-gae

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