Create graphene ObjectType based on the type annotations.
Project description
graphanno
Use Python 3.6+ type annotations to generate the graphene ObjectType
classes.
Installation
You can install the project via pip
by running:
pip install graphanno
Installation from source:
python setup.py install
Usage
The @graphanno.graph_annotations
decorator works only with classes that contains type
annotations. If there are no type annotations within the decorator target,
NoAnnotationsError
exception is raised. Arguments without annotations will
be ignored.
To create the graphene.ObjectType
object, you can just decorate your class with
@graphanno.graph_annotations
.
It is recommended to subclass graphanno.ObjectType
to provide hints for IDE's.
This is not mandatory, the @graphanno.graph_annotations
will replace your decorated class
with the ObjectType
subclass anyway.
import graphene
import graphanno
# the class below...
@graphanno.graph_annotations
class Graphanno(graphanno.ObjectType):
value: str
# ... is equivalent to:
class Graphene(graphene.ObjectType):
value = graphene.String()
If you still need your class with type annotations, set __model__
variable to annotated
class within the decorated one:
import graphene
import graphanno
class Annotated: # this class will be still available later
value: str
# the class below...
@graphanno.graph_annotations
class Graphanno(graphanno.ObjectType):
"""
This class can inherit from graphene.ObjectType already,
but it won't change the @graph_annotations behavior.
"""
__model__ = Annotated
# ... is equivalent to:
class Graphene(graphene.ObjectType):
value = graphene.String()
If another class with the same name will be decorated, the SchemaClashError
exception
will be raised.
Additional parameters
__excluded_fields__
(tuple): names of the fields that will be excluded from schema. Private attributes are always excluded.__ignore_unsupported__
(bool): do not raise an exception for unsupported annotations. DefaultFalse
.
Supported annotations
The class decorated with @graph_annotations
can use type annotations listed below.
- str
- int
- float
- bool
- datetime.datetime
- datetime.date
- datetime.time
- typing.List
- custom classes with supported type annotations
Using unsupported annotations will raise the UnsupportedAnnotationError
exception.
To ignore this exception set __ignore_unsupported__
to True
in the decorated class.
Project details
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