kolb0401 / schema-exporter

A library to export Marshmallow schemas to Typescript and Rust

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

tests

Marshmallow-export

Generates Typescript and Rust interfaces/structs from Marshmallow schemas and DRF serializers

Installation

Install with pip install git+https://github.com/santerioksanen/schema-exporter.git

Usage

Basic

Decorate marshmallow-schemas to export with @export_marshmallow_schema(). With default settings all nested schemas and Enum fields are automatically loaded as well. Furthermore, with default settings Schema is stripped from the schema name.

For Django Rest Framework serializers use the @export_drf_serializer() decorator in similar fashion. Here as well the Serializer is stripped from the serializer name.

And to export plain Enums, you can use the @export_enum() decorator similarly.

Generate interfaces/structs with export_mappings(path: Path, language: str = ("typescript"|"rust"))

Please note that with default export settings all nested schemas/serializers/enums are added to the export as well. So no need to explicitly add the decorator to any leaf nodes.

DRF caveats

  • DRF ChoiceFields are treated as Enums
  • Same goes for MultipleChoiceFields, which are treated as list of Enums

DRF example

serializers.py

from rest_framework import serializers

from schema_exporter import export_drf_serializer

class LeafSerializer(serializers.Serializer):
    bool_1 = serializers.BooleanField()
    datetime_1 = serializers.DateTimeField()
    decimal_1 = serializers.DecimalField(decimal_places=2, max_digits=5)
    int_1 = serializers.IntegerField()


class LeafSerializer2(serializers.Serializer):
    datetime_1 = serializers.DateTimeField(required=False)
    integer_1 = serializers.IntegerField(required=False)
    many_1 = serializers.ListField(child=serializers.CharField())


class MiddleSerializer(serializers.Serializer):
    test_enum_1 = serializers.ChoiceField(choices=[("A", "a"), ("B", "b"), ("C", "c")])
    leaf_schema = LeafSerializer()


@export_drf_serializer(namespace="default")
class RootSerializer(serializers.Serializer):
    nested_leaf_1 = MiddleSerializer()
    nested_leaf_2 = MiddleSerializer(many=True)
    list_leaf_1 = MiddleSerializer(many=True)


@export_drf_serializer(namespace="default")
class RootSerializer2(serializers.Serializer):
    nested_leaf_1 = LeafSerializer2(
        required=True
    ) 

Django management command: export_serializers.py

from pathlib import Path
from django.core.management.base import BaseCommand
from schema_exporter import export_mappings


class Command(BaseCommand):
    help = "Exports serializers as typescript and rust"

    def handle(self, *args, **options):
        ts_export_to = Path.cwd() / "output.ts"
        rust_export_to = Path.cwd() / "output.rs"
        export_mappings(
            ts_export_to,
            "typescript"
        )
        export_mappings(
            rs_export_to,
            "rust"
        )

output.ts

export enum TestEnum1 {
  A = "a",
  B = "b",
  C = "c",
}

export interface Leaf {
  bool_1: boolean
  datetime_1: string
  decimal_1: number
  int_1: number
}

export interface Leaf2 {
  datetime_1?: string
  integer_1?: number
  many_1: string[]
}

export interface Middle {
  test_enum_1: TestEnum1
  leaf_schema: Leaf
}

export interface Root2 {
  nested_leaf_1: Leaf2
}

export interface Root {
  nested_leaf_1: Middle
  nested_leaf_2: Middle[]
  list_leaf_1: Middle[]
}

output.rs

use chrono::{DateTime, Utc};
use rust_decimal::Decimal;
use serde_derive::{Deserialize, Serialize};
use strum_macros::{AsStaticStr, Display, EnumString};

#[derive(AsStaticStr, Clone, Copy, Debug, Deserialize, Display, EnumString, Serialize)]
pub enum TestEnum1 {
    A,
    B,
    C,
}

#[derive(Clone, Debug, Deserialize, Serialize)]
pub struct Leaf {
    pub bool_1: bool,
    pub datetime_1: DateTime<Utc>,
    pub decimal_1: Decimal,
    pub int_1: i64,
}

#[derive(Clone, Debug, Deserialize, Serialize)]
pub struct Leaf2 {
    pub datetime_1: Option<DateTime<Utc>>,
    pub integer_1: Option<i64>,
    pub many_1: Vec<String>,
}

#[derive(Clone, Debug, Deserialize, Serialize)]
pub struct Middle {
    pub test_enum_1: TestEnum1,
    pub leaf_schema: Leaf,
}

#[derive(Clone, Debug, Deserialize, Serialize)]
pub struct Root2 {
    pub nested_leaf_1: Leaf2,
}

#[derive(Clone, Debug, Deserialize, Serialize)]
pub struct Root {
    pub nested_leaf_1: Middle,
    pub nested_leaf_2: Vec<Middle>,
    pub list_leaf_1: Vec<Middle>,
}

Marshmallow example

Example: schemas.py

from enum import Enum
from marshmallow import Schema, fields
from marshmallow_enum import EnumField
from schema_exporter import export_marshmallow_schema


class TestEnum(Enum):
    A = 'a'


class LeafSchema(Schema):
    enum_field = EnumField(TestEnum)
    integer_field = fields.Integer(dump_only=True)
    date_time_field = fields.DateTime(required=True)
    uuid_field = fields.UUID(required=True, dump_only=True)


@export_marshmallow_schema()
class RootSchema(Schema):
    leaf_field = fields.Nested(LeafSchema, required=True)
    leaf_list_1 = fields.Nested(LeafSchema, many=True, required=True)
    leaf_list_2 = fields.List(fields.Nested(LeafSchema))

export_schemas.py

from schema_exporter import export_mappings
from pathlib import Path

path = Path().cwd() / 'output.ts'
export_mappings(path, 'typescript')
path = Path().cwd() / 'output.rs'
export_mappings(path, 'rust')
path = Path().cwd() / 'output_no_dump_only.ts'
export_mappings(path, 'typescript', include_load_only=False)

output.ts

export enum TestEnum {
    A = 'a',
}

export interface Leaf {
    enum_field?: TestEnum
    integer_field?: number
    date_time_field: string
    uuid_field: string
}

export interface Root {
    leaf_field: Leaf
    leaf_list_1: Leaf[]
    leaf_lsit_2?: Leaf[]
}

output.rs

use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use strum_macros::EnumString;
use uuid::Uuid;

#[derive(Clone, Copy, Debug, Deserialize, EnumString, Serialize)]
pub enum TestEnum {
    A,
}

#[derive(Clone, Copy, Debug, Deserialize, Serialize)]
pub struct Leaf {
    pub enum_field: Option<TestEnum>,
    pub integer_field: Option<i64>,
    pub date_time_field: DateTime<Utc>,
    pub uuid_field: Uuid,
}

#[derive(Clone, Copy, Debug, Deserialize, Serialize)]
pub struct Root {
    pub leaf_field: Leaf,
    pub leaf_list_1: Vec<Leaf>,
    pub leaf_list_2: Option<Vec<Leaf>>,
}

output_no_dump_only.ts

export enum TestEnum {
    A = 'a',
}

export interface Leaf {
    enum_field?: TestEnum
    date_field: string
}

export interface Root {
    leaf_field: Leaf
    leaf_list_1?: Leaf[]
    leaf_lsit_2?: Leaf[]
}

Default derives for Rust

Enum:

Clone, Copy, Debug, Deserialize, EnumString, Serialize

Struct:

Clone, Copy, Debug, Deserialize, Serialize

Advanced

The @export_schema() decorator takes two optional arguments. Namespace may be provided for using different namespaces, for example @export_schema(namespace='default,dump'), and the schema will be added to default and dump namespaces. Keyword arguments may also be provided:

from marshmallow import Schema, fields
from schema_exporter import export_marshmallow_schema
from schema_exporter.types import Mapping


@export_marshmallow_schema(namespace='import,export',
                           rust_enum_derives=[
                               Mapping(mapping='Debug'),
                               Mapping(mapping='Serialize', imports={'serde': ['Clone']})
                           ],
                           rust_struct_derives=[
                               Mapping(mapping='Debug'),
                               Mapping(mapping='Deserialize', imports={'serde': ['Deserialize']})
                           ])
class FooSchema(Schema):
    bar = fields.Integer()

Also the export_mappings function takes optional parameters:

  • path: Path (required, path to save file in)
  • language: str (required, language to export to)
  • namespace: str = 'default', Schemas included in this namespace will be exported
  • include_dump_only: bool = True, whether to include fields marked with dump_only=True
  • include_load_only: bool = True, whether to include fields marked with load_only=True
  • strip_schema_keyword: bool = True, whether to remove Schema from name of exported definitions
  • expand_nested: bool = True, whether to add nested schemas and definitions in the exported file without being explicitly decorated
  • ordered_output: bool = True, whether to sort output file so that all nested schemas are defined prior to root schema

Contributing

  • Clone project
  • Create a virtual env and intall package in development mode
$ python3 -m venv env
$ source env/bin/activate
$ pip install -e .[dev]
  • Test using test.py:
$ python test.py

Implemented types for DRF fields:

DRF field Internal datatype
serializers.BooleanField PythonDatatypes.BOOL
serializers.CharField PythonDatatypes.STRING
serializers.EmailField PythonDatatypes.EMAIL
serializers.RegexField PythonDatatypes.STRING
serializers.SlugField PythonDatatypes.STRING
serializers.URLField PythonDatatypes.URL
serializers.UUIDField PythonDatatypes.UUID
serializers.FilePathField PythonDatatypes.UNDEFINED
serializers.IPAddressField PythonDatatypes.IP_ADDRESS
serializers.IntegerField PythonDatatypes.INT
serializers.FloatField PythonDatatypes.FLOAT
serializers.DecimalField PythonDatatypes.DECIMAL
serializers.DateTimeField PythonDatatypes.DATETIME
serializers.DateField PythonDatatypes.DATE
serializers.TimeField PythonDatatypes.TIME
serializers.DurationField PythonDatatypes.DURATION
serializers.FileField PythonDatatypes.UNDEFINED
serializers.ImageField PythonDatatypes.UNDEFINED
serializers.DictField PythonDatatypes.DICT
serializers.HStoreField PythonDatatypes.DICT
serializers.JSONField PythonDatatypes.JSON_FIELD
serializers.SlugRelatedField PythonDatatypes.STRING
serializers.StringRelatedField PythonDatatypes.STRING
serializers.PrimaryKeyRelatedField PythonDatatypes.INT
serializers.HyperlinkedRelatedField PythonDatatypes.URL
serializers.HyperlinkedIdentityField PythonDatatypes.URL
serializers.SerializerMethodField PythonDatatypes.STRING
serializers.HiddenField PythonDatatypes.STRING

Implemented types for Marshmallow fields:

Marshmallow field Internal datatype
fields.AwareDateTime PythonDatatypes.DATETIME
fields.Bool PythonDatatypes.BOOL
fields.Constant PythonDatatypes.CONSTANT
fields.Date PythonDatatypes.DATE
fields.DateTime PythonDatatypes.DATETIME
fields.Decimal PythonDatatypes.DECIMAL
fields.Dict PythonDatatypes.DICT
fields.Email PythonDatatypes.EMAIL
fields.Float PythonDatatypes.FLOAT
fields.Function PythonDatatypes.FUNCTION
fields.IP PythonDatatypes.IP_ADDRESS
fields.IPInterface PythonDatatypes.IP_INTERFACE
fields.IPv4 PythonDatatypes.IPv4_ADDRESS
fields.IPv4Interface PythonDatatypes.IPv4_INTERFACE
fields.IPv6 PythonDatatypes.IPv6_ADDRESS
fields.IPv6Interface PythonDatatypes.IPv6_INTERFACE
fields.Int PythonDatatypes.INT
fields.Integer PythonDatatypes.INT
fields.Mapping PythonDatatypes.MAPPING
fields.Method PythonDatatypes.METHOD
fields.NaiveDateTime PythonDatatypes.DATETIME
fields.Number PythonDatatypes.FLOAT
fields.Str PythonDatatypes.STRING
fields.String PythonDatatypes.STRING
fields.Time PythonDatatypes.TIME
fields.URL PythonDatatypes.URL
fields.UUID PythonDatatypes.UUID
fields.Url PythonDatatypes.URL
fields.TimeDelta PythonDatatypes.TIMEDELTA

Typescript implementations

Internal datatype Typescript
PythonDatatypes.BOOL Types.BOOL.value
PythonDatatypes.CONSTANT Types.STRING.value
PythonDatatypes.DATETIME Types.STRIG.value
PythonDatatypes.DATE Types.STRING.value
PythonDatatypes.TIME Types.STRING.value
PythonDatatypes.DECIMAL Types.NUMBER.value
PythonDatatypes.DICT Types.OBJECT.value
PythonDatatypes.EMAIL Types.STRING.value
PythonDatatypes.FIELD Types.ANY.value
PythonDatatypes.FLOAT Types.NUMBER.value
PythonDatatypes.FUNCTION Types.ANY.value
PythonDatatypes.INT Types.NUMBER.value
PythonDatatypes.MAPPING Types.ANY.value
PythonDatatypes.METHOD Types.ANY.value
PythonDatatypes.STRING Types.STRING.value
PythonDatatypes.TIMEDELTA Types.NUMBER.value
PythonDatatypes.URL Types.STRING.value
PythonDatatypes.UUID Types.STRING.value
PythonDatatypes.IP_ADDRESS Types.STRING.value
PythonDatatypes.IP_INTERFACE Types.STRING.value
PythonDatatypes.IPv4_ADDRESS Types.STRING.value
PythonDatatypes.IPv4_INTERFACE Types.STRING.value
PythonDatatypes.IPv6_ADDRESS Types.STRING.value
PythonDatatypes.IPv6_INTERFACE Types.STRING.value
PythonDatatypes.JSON_FIELD Types.OBJECT.value

About

A library to export Marshmallow schemas to Typescript and Rust

License:GNU General Public License v3.0


Languages

Language:Python 100.0%