Skip to main content

A Python GraphQL library that makes use of type hinting and concurrency support with the new async/await syntax.

Project description

TypeGQL

A Python GraphQL library that makes use of type hinting and concurrency support with the new async/await syntax. With the help of type hints and dataclass it’s easy to build a GraphQL schema using nothing but Python objects and primitives

Consider the following:

from graphql import (
    GraphQLSchema, GraphQLObjectType, GraphQLField, GraphQLString)

schema = GraphQLSchema(
    query=GraphQLObjectType(
        name='RootQueryType',
        fields={
            'hello': GraphQLField(
                GraphQLString,
                resolve=lambda obj, info: 'world')
        }))

Versus:

from dataclasses import dataclass
from typegql import Schema

@dataclass(init=False)
class RootQuery:
    hello: str

def resolve_hello(info):
    return 'world

 schema = Schema(query=RootQuery)

Clearly the second one looks more “Pythonic” and it’s easier to maintain for complex structures

Installation

pip install typegql

Usage

The following demonstrates how to use typegql for implementing a GraphQL API for a library of books. The example can be found in typegql/core/examples and you can run it with Sanic by executing python <path_to_example>/server.py

Define your query

from dataclasses import dataclass
from typing import List
from typegql.core.graph import Connection
from typegql.examples.library.types import Author, Category
from typegql.examples.library.types import Book
from typegql.examples.library import db


@dataclass(init=False, repr=False)
class Query:
    books: List[Book]
    authors: List[Author]
    categories: List[Category]

    books_connection: Connection[Book]

    async def resolve_authors(self, info, **kwargs):
        return db.get('authors')

    async def resolve_books(self, info, **kwargs):
        return db.get('books')

    async def resolve_categories(self, info, **kwargs):
        return db.get('categories')

   async def resolve_books_connection(self, info, **kwargs):
        data = db.get('books')
        return {
            'edges': [{
                'node': node
            } for node in data]}

Define your types

from dataclasses import dataclass, field
from datetime import datetime
from decimal import Decimal
from enum import Enum
from typing import List

from examples.library import db


class Gender(Enum):
    MALE = 'male'
    FEMALE = 'female'


@dataclass
class GeoLocation:
    latitude: Decimal
    longitude: Decimal


@dataclass
class Author:
    """Person that is usually a writer"""

    id: ID = field(metadata={'readonly': True})
    name: str
    gender: Optional[Gender] = None
    geo: Optional[GeoLocation] = None
    books: Optional[List[Book]] = None


@dataclass
class Category:
    id: ID = field(metadata={'readonly': True})
    name: str


@dataclass
class Book:
    """A book... for reading :|"""

    id: ID = field(metadata={'readonly': True})
    author_id: ID
    title: str
    author: Optional[Author] = field(default=None, metadata={'description': 'The author of this book'})
    categories: Optional[List[Category]] = None
    published: Optional[datetime] = None
    tags: Optional[List[str]] = None

    def __post_init__(self):
        self.published = datetime.strptime(self.published, '%Y-%m-%d %H:%M:%S')

    async def resolve_author(self, info):
        data = filter(lambda x: x['id'] == self.author_id, db.get('authors'))
        data = next(data)
        author = Author(**data)
        author.gender = Gender(author.gender)
        if 'geo' in data:
            author.geo = GeoLocation(**data.get('geo'))
        return author

    async def resolve_categories(self, selections, name=None):
        data = filter(lambda x: x['id'] in self.categories, db.get('categories'))
        for d in data:  # showcasing async generator
            yield Category(**d)

    def resolve_tags(self, selections):
        return ['testing', 'purpose']

Run your query

from typegql.core.schema import Schema
from examples.library.query import Query


schema = Schema(Query)
query = '''
query BooksConnection {
  books_connection {
    edges {
      node {
        id
        title
        published
        author {
          id
          name
        }
      }
    }
  }
}
'''

async def run():
    result = await schema.run(query)

Client

TypeGQL supports DSL client for working with a GraphQL API. The client automatically converts snake to camelcase. set camelcase=False if this is not desired

pip install typegql[client]

For example:

from typegql.client import Client

async with Client(url, camelcase=True) as client:
    await client.introspection()
    dsl = client.dsl
    query = dsl.Query.books_connection.select(dsl.BooksConnection.total_count)
    doc = dsl.query(query)

    status, result = await client.execute(doc)

Change Log

3.0.3 [2019-11-29]

  • fixed a bug where a custom connection arguments don’t include the relay pagination arguments as well

3.0.2 [2019-11-26]

  • PEP 561 compliant

3.0.1 [2019-11-26]

  • BREAKING: Removed Graph as a baseclass

  • now makes use of dataclasses.dataclass and dataclasess.fields for building the Schema

  • bug fixing and improvements

2.0.9 [2019-10-29]

  • changed the name of an input object from ObjectMuation to ObjectInput

2.0.8 [2019-10-15]

  • allows forward reference between graph types (ie: Book has an author and an Author has books).

    this only works with python 3.7(using from __future__ import annotations, or python 3.8

2.0.6 [2019-06-24]

  • updates uvloop dependency

2.0.5 [2019-04-24]

  • fixed a bug when sending introspection schema

2.0.4 [2019-04-24]

  • updates assert for introspection add message with status and result

  • adds support for enum objects in resolve_field_velue_or_error

2.0.3 [2019-02-08]

  • changes Connection, Edge, Node and PageInfo to interfaces IConnection, IEdge, etc.

  • implements default Connection and PageInfo objects

  • removes has_next, has_previous from PageInfo

2.0.1 [2019-01-19]

  • all properties that don’t have a Field instance assigned to them will be ignored by the Schema

  • updates docs & example to reflect 2.0 changes

  • fixed a bug when using a List argument in mutations

1.0.7 [2018-12-09]

  • bug fixing

  • adds support for camelcase in Client

1.0.1 [2018-11-19]

  • adds support for client DSL

Initial

TODO

  • testing

  • travis

  • more testing

  • please help with testing :|

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

typegql-3.0.3.tar.gz (15.5 kB view details)

Uploaded Source

Built Distribution

typegql-3.0.3-py3-none-any.whl (15.3 kB view details)

Uploaded Python 3

File details

Details for the file typegql-3.0.3.tar.gz.

File metadata

  • Download URL: typegql-3.0.3.tar.gz
  • Upload date:
  • Size: 15.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.0.0b7 CPython/3.7.3 Darwin/19.0.0

File hashes

Hashes for typegql-3.0.3.tar.gz
Algorithm Hash digest
SHA256 3db4aa1e22bc685c3de45444418bedeb8f2fe77b9ea62c020533ed02f1f1512e
MD5 92982ccb31c75c12bab74070558a1ad1
BLAKE2b-256 fbe08dee56feaead0029ecb480d1f6d7ba4d357e5602b761b14b4613e3e0d5b5

See more details on using hashes here.

File details

Details for the file typegql-3.0.3-py3-none-any.whl.

File metadata

  • Download URL: typegql-3.0.3-py3-none-any.whl
  • Upload date:
  • Size: 15.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.0.0b7 CPython/3.7.3 Darwin/19.0.0

File hashes

Hashes for typegql-3.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 f0b5d933a8aed3c8679247c4f91dbb85101ba692ef82a21aad5f05e8e3b80378
MD5 0f75f7ab61c283a5f504c2004224feab
BLAKE2b-256 d9cc8526a53c04f043602e8b949a395b374ef15e491905ac4504c19f14834b06

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page