graphql-sqlalchemy | Generate GraphQL Schemas from your SQLAlchemy models | GraphQL library
kandi X-RAY | graphql-sqlalchemy Summary
kandi X-RAY | graphql-sqlalchemy Summary
Generate GraphQL Schemas from your SQLAlchemy models
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Top functions reviewed by kandi - BETA
- Build a GraphQL Schema
- Build mutations for a model
- Create a GraphQLInputObject type for the given model
- Returns the appropriate GraphQL input type for the given column
- Returns a GraphQL input type for the given model
- Returns a GraphQLEnum enum enum enum type
- Return a GraphQLEnumType enum enum enum
- Returns the name of the model key for the given column
graphql-sqlalchemy Key Features
graphql-sqlalchemy Examples and Code Snippets
from ariadne.asgi import GraphQL
from fastapi import FastAPI
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from graphql_sqlalchemy import b
query {
user(
where: {
_or: [
{ id: { _gte: 5 } },
{ name: { _like: "%bob%" } },
]
}
) {
id
name
}
user_by_pk(id: 5) {
createtime
}
}
Community Discussions
Trending Discussions on graphql-sqlalchemy
QUESTION
This question has been posted as a GH issues under https://github.com/graphql-python/graphene-sqlalchemy/issues/134 but I thought I'd post it here too to tap into the SO crowd.
A full working demo can be found under https://github.com/somada141/demo-graphql-sqlalchemy-falcon.
Consider the following SQLAlchemy ORM class:
...ANSWER
Answered 2018-Jun-16 at 07:16My question was answered on the GitHub issue (https://github.com/graphql-python/graphene-sqlalchemy/issues/134).
The idea is to identify the requested fields out of the info
argument (of type graphql.execution.base.ResolveInfo
) that gets passed to the resolver function through a get_field_names
function such as the one below:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install graphql-sqlalchemy
You can use graphql-sqlalchemy 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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