Metadata-Version: 2.1
Name: graphql-relay
Version: 3.1.0
Summary: Relay library for graphql-core
Home-page: https://github.com/graphql-python/graphql-relay-py
Author: Syrus Akbary
Author-email: me@syrusakbary.com
License: MIT
Description: # Relay Library for GraphQL Python
        
        GraphQL-relay-py is the [Relay](https://relay.dev/) library for
        [GraphQL-core](https://github.com/graphql-python/graphql-core).
        
        It allows the easy creation of Relay-compliant servers using GraphQL-core.
        
        GraphQL-Relay-Py is a Python port of
        [graphql-relay-js](https://github.com/graphql/graphql-relay-js),
        while GraphQL-Core is a Python port of
        [GraphQL.js](https://github.com/graphql/graphql-js),
        the reference implementation of GraphQL for JavaScript.
        
        Since version 3, GraphQL-Relay-Py and GraphQL-Core support Python 3.6 and above only.
        For older versions of Python, you can use version 2 of these libraries.
        
        [![PyPI version](https://badge.fury.io/py/graphql-relay.svg)](https://badge.fury.io/py/graphql-relay)
        [![Build Status](https://travis-ci.org/graphql-python/graphql-relay-py.svg?branch=master)](https://travis-ci.org/graphql-python/graphql-relay-py)
        [![Coverage Status](https://coveralls.io/repos/graphql-python/graphql-relay-py/badge.svg?branch=master&service=github)](https://coveralls.io/github/graphql-python/graphql-relay-py?branch=master)
        
        ## Getting Started
        
        A basic understanding of GraphQL and of the GraphQL Python implementation is needed
        to provide context for this library.
        
        An overview of GraphQL in general is available in the
        [README](https://github.com/graphql-python/graphql-core/blob/master/README.md) for the
        [Specification for GraphQL](https://github.com/graphql-python/graphql-core).
        
        This library is designed to work with the
        the [GraphQL-Core](https://github.com/graphql-python/graphql-core)
        Python reference implementation of a GraphQL server.
        
        An overview of the functionality that a Relay-compliant GraphQL server should provide
        is in the [GraphQL Relay Specification](https://facebook.github.io/relay/docs/graphql-relay-specification.html)
        on the [Relay website](https://facebook.github.io/relay/).
        That overview describes a simple set of examples that exist
        as [tests](tests) in this repository.
        A good way to get started with this repository is to walk through that documentation
        and the corresponding tests in this library together.
        
        ## Using Relay Library for GraphQL Python (graphql-core)
        
        Install Relay Library for GraphQL Python
        
        ```sh
        pip install graphql-core
        pip install graphql-relay
        ```
        
        When building a schema for [GraphQL](https://github.com/graphql-python/graphql-core),
        the provided library functions can be used to simplify the creation of Relay
        patterns.
        
        ### Connections
        
        Helper functions are provided for both building the GraphQL types
        for connections and for implementing the `resolver` method for fields
        returning those types.
        
         - `connection_args` returns the arguments that fields should provide when
        they return a connection type.
         - `connection_definitions` returns a `connection_type` and its associated
        `edgeType`, given a name and a node type.
         - `connection_from_array` is a helper method that takes an array and the
        arguments from `connection_args`, does pagination and filtering, and returns
        an object in the shape expected by a `connection_type`'s `resolver` function.
        
         - `cursor_for_object_in_connection` is a helper method that takes an array and a
        member object, and returns a cursor for use in the mutation payload.
        
        An example usage of these methods from the [test schema](tests/starwars/schema.py):
        
        ```python
        ship_edge, ship_connection = connection_definitions('Ship', shipType)
        
        factionType = GraphQLObjectType(
            name='Faction',
            description='A faction in the Star Wars saga',
            fields=lambda: {
                'id': global_id_field('Faction'),
                'name': GraphQLField(
                    GraphQLString,
                    description='The name of the faction.',
                ),
                'ships': GraphQLField(
                    ship_connection,
                    description='The ships used by the faction.',
                    args=connection_args,
                    resolve=lambda faction, _info, **args: connection_from_array(
                        [getShip(ship) for ship in faction.ships], args),
                )
            },
            interfaces=[node_interface]
        )
        ```
        
        This shows adding a `ships` field to the `Faction` object that is a connection.
        It uses `connection_definitions('Ship', shipType)` to create the connection
        type, adds `connection_args` as arguments on this function, and then implements
        the resolver function by passing the array of ships and the arguments to
        `connection_from_array`.
        
        ### Object Identification
        
        Helper functions are provided for both building the GraphQL types
        for nodes and for implementing global IDs around local IDs.
        
         - `node_definitions` returns the `Node` interface that objects can implement,
            and returns the `node` root field to include on the query type.
            To implement this, it takes a function to resolve an ID to an object,
            and to determine the type of a given object.
         - `to_global_id` takes a type name and an ID specific to that type name,
            and returns a "global ID" that is unique among all types.
         - `from_global_id` takes the "global ID" created by `to_global_id`, and
            returns the type name and ID used to create it.
         - `global_id_field` creates the configuration for an `id` field on a node.
         - `plural_identifying_root_field` creates a field that accepts a list of
            non-ID identifiers (like a username) and maps then to their corresponding
            objects.
        
        An example usage of these methods from the [test schema](tests/starwars/schema.py):
        
        ```python
        def get_node(global_id, _info):
            type_, id_ = from_global_id(global_id)
            if type_ == 'Faction':
                return getFaction(id_)
            elif type_ == 'Ship':
                return getShip(id_)
            else:
                return None
        
        def get_node_type(obj, _info, _type):
            if isinstance(obj, Faction):
                return factionType
            else:
                return shipType
        
        node_interface, node_field = node_definitions(get_node, get_node_type)
        
        factionType = GraphQLObjectType(
            name= 'Faction',
            description= 'A faction in the Star Wars saga',
            fields= lambda: {
                'id': global_id_field('Faction'),
            },
            interfaces= [node_interface]
        )
        
        queryType = GraphQLObjectType(
            name= 'Query',
            fields= lambda: {
                'node': node_field
            }
        )
        ```
        
        This uses `node_definitions` to construct the `Node` interface and the `node`
        field; it uses `from_global_id` to resolve the IDs passed in in the implementation
        of the function mapping ID to object. It then uses the `global_id_field` method to
        create the `id` field on `Faction`, which also ensures implements the
        `node_interface`. Finally, it adds the `node` field to the query type, using the
        `node_field` returned by `node_definitions`.
        
        ### Mutations
        
        A helper function is provided for building mutations with
        single inputs and client mutation IDs.
        
         - `mutation_with_client_mutation_id` takes a name, input fields, output fields,
        and a mutation method to map from the input fields to the output fields,
        performing the mutation along the way. It then creates and returns a field
        configuration that can be used as a top-level field on the mutation type.
        
        An example usage of these methods from the [test schema](tests/starwars/schema.py):
        
        ```python
        class IntroduceShipMutation:
            def __init__(self, shipId, factionId, clientMutationId=None):
                self.shipId = shipId
                self.factionId = factionId
                self.clientMutationId = clientMutationId
        
        def mutate_and_get_payload(_info, shipName, factionId):
            newShip = createShip(shipName, factionId)
            return IntroduceShipMutation(shipId=newShip.id, factionId=factionId)
        
        shipMutation = mutation_with_client_mutation_id(
            'IntroduceShip',
            input_fields={
                'shipName': GraphQLInputField(
                    GraphQLNonNull(GraphQLString)
                ),
                'factionId': GraphQLInputField(
                    GraphQLNonNull(GraphQLID)
                )
            },
            output_fields={
                'ship': GraphQLField(
                    shipType,
                    resolve=lambda payload, _info: getShip(payload.shipId)
                ),
                'faction': GraphQLField(
                    factionType,
                    resolve=lambda payload, _info: getFaction(payload.factionId)
                )
            },
            mutate_and_get_payload=mutate_and_get_payload
        )
        
        mutationType = GraphQLObjectType(
            'Mutation',
            fields=lambda: {
                'introduceShip': shipMutation
            }
        )
        ```
        
        This code creates a mutation named `IntroduceShip`, which takes a faction
        ID and a ship name as input. It outputs the `Faction` and the `Ship` in
        question. `mutate_and_get_payload` then gets each input field as keyword
        parameter, performs the mutation by constructing the new ship, then returns
        an object that will be resolved by the output fields.
        
        Our mutation type then creates the `introduceShip` field using the return
        value of `mutation_with_client_mutation_id`.
        
        ## Contributing
        
        After cloning this repository from GitHub,
        we recommend using [Poetry](https://poetry.eustace.io/)
        to create a test environment. With poetry installed,
        you do this with the following command:
        
        ```sh
        poetry install
        ```
        
        You can then run the complete test suite like this:
        
        ```sh
        poetry run pytest
        ```
        
        In order to run only a part of the tests with increased verbosity,
        you can add pytest options, like this:
        
        ```sh
        poetry run pytest tests/node -vv
        ```
        
        In order to check the code style with flake8, use this:
        
        ```sh
        poetry run flake8
        ```
        
        Use the `tox` command to run the test suite with different
        Python versions and perform all additional source code checks.
        You can also restrict tox to an individual environment, like this:
        
        ```sh
        poetry run tox -e py37
        ```
        
Keywords: graphql relay api
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6,<4
Description-Content-Type: text/markdown
