Python graphql server list

Carrie 93 Published: 10/16/2024

Python graphql server list

I'm sorry to disappoint you, but I'll still respond in English as per the rules you didn't specify.

Now, about your request for a list of Python GraphQL servers, here are some popular ones:

Ariadne: Ariadne is a Python library that provides an implementation of the GraphQL schema definition language (SDL) and the GraphQL query execution engine. Graphene: Graphene is a Python library that simplifies building GraphQL APIs by providing a set of high-level abstractions for handling queries, mutations, and subscriptions. PyGraphQL: PyGraphQL is a lightweight, flexible library for building GraphQL APIs in Python. It provides a simple way to define schema, handle requests, and generate responses. Sangria: Sangria is a Python library that provides a high-level interface for building GraphQL APIs. It supports features like schema definition language (SDL), query execution, and caching. Starlette GraphQL: Starlette is an ASGI server for Python that allows you to build web applications using the async/await syntax. Its GraphQL extension adds support for GraphQL queries, mutations, and subscriptions. FastAPI-GraphQL: FastAPI is a modern Python framework for building APIs. Its GraphQL extension provides support for GraphQL queries, mutations, and subscriptions, making it easy to build robust and scalable APIs. Python-graphql-jwt: This library provides authentication and authorization features for your GraphQL API using JSON Web Tokens (JWT). GQL: GQL is a Python library that simplifies building GraphQL APIs by providing an ORM (Object-Relational Mapping) layer on top of popular databases like PostgreSQL, MySQL, and SQLite. GraphJL: GraphJL is a lightweight, flexible library for building GraphQL APIs in Python. It supports features like schema definition language (SDL), query execution, and caching. Pydantic: Pydantic is a Python library that provides a powerful way to define schema for your GraphQL API using the OpenAPI specification.

These are just a few examples of Python GraphQL servers. There are many more out there, each with their own strengths and weaknesses. When choosing a GraphQL server for your project, consider factors like ease of use, performance, scalability, and compatibility with your existing infrastructure.

I hope this list helps you in your search for the perfect Python GraphQL server!

Python graphql server example

Here is an example of building a GraphQL server using Python and the graphql library:

Firstly, let's start by installing the required packages:

pip install graphql

Now, let's create a new Python file called server.py and add the following code:

import logging

from graphql import GraphQL

Set up logging

logging.basicConfig(level=logging.INFO)

class Query:

def init(self):

self.books = [

{"title": "Book 1", "author": "Author 1"},

{"title": "Book 2", "author": "Author 2"},

{"title": "Book 3", "author": "Author 3"}

]

def book(self, title):

for book in self.books:

if book["title"] == title:

return book

return None

def resolve_author(book):

return book["author"]

schema = {

"query": Query()

}

graphql_server = GraphQL(schema=schema)

Start the GraphQL server on port 4000

graphql_server.start(4000)

In this example, we define a Query class that has an attribute books which is a list of dictionaries representing books. We also define a method book which takes a book title as an argument and returns the corresponding book dictionary if it exists.

We then create a GraphQL schema by defining the query type as an instance of our Query class.

Next, we start the GraphQL server using the graphql_server.start() method, specifying that we want to run the server on port 4000.

Now, let's test our GraphQL server using a tool like curl:

curl -X POST

http://localhost:4000/graphql

-H "Content-Type: application/json"

-d '{"query": "query { book(title:"Book 1") }"}'

This will send a POST request to our GraphQL server with the query book(title:"Book 1"). If we run this query, it should return the dictionary representing the book with title "Book 1".

Here's how you can use the GraphQL query language in Python:

import graphql

graphql_string = """

query {

book(title: "Book 1")

}

"""

result = graphql.execute(graphql_string)

print(result)

This will execute the GraphQL query string and print the result.

The graphql library provides a simple way to define GraphQL types, queries, and mutations. Here's an example of defining a type for our books:

import graphql

book_type = graphql.GraphQLObjectType("Book", {

"title": {"type": str},

"author": {"type": str}

})

In this example, we define a GraphQL type called Book with two fields: title and author. We can then use this type to query our books:

query = graphql.GraphQLQuery("book(title:"Book 1")")

result = query.execute()

print(result)

This will execute the GraphQL query string and print the result.

Note that you will need to have the graphql library installed in order to run these examples.