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Ariadne Code Generator

Python code generator that takes graphql schema, queries and mutations and generates Python package with fully typed and asynchronous GraphQL client.

It's available as ariadne-codegen command and reads configuration from the pyproject.toml file:

$ ariadne-codegen

Features

• Generate pydantic models from schema types, inputs and enums.
• Generate pydantic models for GraphQL results.
• Generate client package with each GraphQL operation available as async method.

Installation

Ariadne Code Generator can be installed with pip:

$ pip install ariadne-codegen

Configuration

ariadne-codegen reads configuration from [ariadne-codegen] section in your pyproject.toml'.

Required settings:

• queries_path - path to file/directory with queries

One of the following 2 parameters is required, in case of providing both of them schema_path is prioritized:

• schema_path - path to file/directory with graphql schema
• remote_schema_url - url to graphql server, where introspection query can be perfomed

Optional settings:

• remote_schema_headers - extra headers that are passed along with introspection query, eg. {"Authorization" = "Bearer: token"}
• target_package_name (defaults to "graphql_client") - name of generated package
• target_package_path (defaults to cwd) - path where to generate package
• client_name (defaults to "Client") - name of generated client class
• client_file_name (defaults to "client") - name of file with generated client class
• base_client_name (defaults to "AsyncBaseClient") - name of base client class
• base_client_file_path (defaults to .../graphql_sdk_gen/generators/async_base_client.py) - path to file where base_client_name is defined
• enums_module_name (defaults to "enums") - name of file with generated enums models
• input_types_module_name (defaults to "input_types") - name of file with generated input types models
• include_comments (defaults to true) - a flag that specifies whether to include comments in generated files
• convert_to_snake_case (defaults to true) - a flag that specifies whether to convert fields and arguments names to snake case
• async_client (defaults to true) - default generated client is async, change this to option false to generate synchronous client instead
• files_to_include (defaults to []) - list of files which will be copied into generated package

Using generated client

Generated client can be imported from package:

from {target_package_name}.{client_file_name} import {client_name}

Example with default settings:

from graphql_client.client import Client

Passing headers to client

Client (with default base client), takes passed headers and attaches them to every sent request.

client = Client("https://example.com/graphql", {"Authorization": "Bearer token"})

For more complex scenarios, you can pass your own http client:

client = Client(http_client=CustomComplexHttpClient())

Custom scalars

By default, not built-in scalars are represented as typing.Any in generated client. You can provide information about specific scalar by adding section to pyproject.toml:

[ariadne-codegen.scalars.{graphql scalar name}]
type = "(required) python type name"
serialize = "function used to serialize scalar"
parse = "function used to create scalar instance from serialized form"
import = "module to import from"

All occurences of {graphql scalar name} will be represented as type. If provided, serialize and parse will be used for serialization and deserialization. In all files which use type/serialize/parse there will be added extra import from {import} import {type}, {serialize}, {parse}

Example with scalar mapped to built-in type

In this case scalar is mapped to built-in str which doesn`t require custom serialize and parse methods.

[ariadne-codegen.scalars.SCALARA]
type = "str"

Example with type supported by pydantic

In this scenario scalar is represented as datetime, so it needs to be imported. Pydantic handles serialization and deserialization so custom parse and serialize is not necessary.

[ariadne-codegen.scalars.DATETIME]
type = "datetime"
import = "datetime"

Example with fully custom type

In this example scalar is represented as class TypeB. Pydantic can`t handle serialization and deserialization so custom parse and serialize is necessary. To provide type, parse and serialize implementation we can use files_to_include to copy type_b.py file.

[ariadne-codegen]
...
files_to_include = [".../type_b.py"]

[ariadne-codegen.scalars.SCALARB]
type = "TypeB"
parse = "parse_b"
serialize = "serialize_b"
import = ".type_b"

Extending generated types

Extending models with custom mixins

mixin directive allows to extend class generated for query/mutation field with custom logic. mixin takes two required arguments:

• from - name of a module to import from
• import - name of a parent class

Generated class will use import as extra base class, and import will be added to the file.

from {from} import {import}
...
class OperationNameField(BaseModel, {import}):
    ...

This directive can be used along with files_to_include option to extend funcionallity of generated classes.

Example of usage of mixin and files_to_include:

Query with mixin directive:

query listUsers {
    users @mixin(from: ".mixins", import: "UsersMixin") {
        id
    }
}

Part of pyproject.toml with files_to_include (mixins.py contains UsersMixin implementation)

files_to_include = [".../mixins.py"]

Part of generated list_users.py file:

...
from .mixins import UsersMixin
...
class ListUsersUsers(BaseModel, UsersMixin):
    ...

Generated code dependencies

Generated code requires:

• pydantic
• httpx (can be avoided by providing another base client class with base_client_file_path and base_client_name parameters)

Example

Example with simple schema and few queries and mutations is available here.

Contributing

We welcome all contributions to Ariadne! If you've found a bug or issue, feel free to use GitHub issues. If you have any questions or feedback, don't hesitate to catch us on GitHub discussions.

Also make sure you follow @AriadneGraphQL on Twitter for latest updates, news and random musings!

Crafted with ❤️ by Mirumee Software [email protected]