Generate fully typed GraphQL client from schema, queries and mutations!
Project description
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 schemaremote_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 packagetarget_package_path
(defaults to cwd) - path where to generate packageclient_name
(defaults to"Client"
) - name of generated client classclient_file_name
(defaults to"client"
) - name of file with generated client classbase_client_name
(defaults to"AsyncBaseClient"
) - name of base client classbase_client_file_path
(defaults to.../graphql_sdk_gen/generators/async_base_client.py
) - path to file wherebase_client_name
is definedenums_module_name
(defaults to"enums"
) - name of file with generated enums modelsinput_types_module_name
(defaults to"input_types"
) - name of file with generated input types modelsinclude_comments
(defaults totrue
) - a flag that specifies whether to include comments in generated filesconvert_to_snake_case
(defaults totrue
) - a flag that specifies whether to convert fields and arguments names to snake caseasync_client
(defaults totrue
) - default generated client isasync
, change this to optionfalse
to generate synchronous client insteadfiles_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 fromimport
- 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
andbase_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 hello@mirumee.com
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