Generate Pydantic models and API client code from OpenAPI 3.x specifications
Project description
Usage
From command line
spec2sdk --input-file path/to/api.yml --output-dir path/to/output-dir/
From the code
from pathlib import Path
from spec2sdk.main import generate
generate(input_file=Path("path/to/api.yml"), output_dir=Path("path/to/output-dir/"))
Open API specification requirements
Operation ID
operationId
must be specified for each endpoint to generate meaningful method names. It must be unique among all operations described in the API.
Input
paths:
/health:
get:
operationId: healthCheck
responses:
'200':
description: Successful response
Output
class APIClient:
def health_check(self) -> None:
...
Inline schemas
Inline schemas should be annotated with the schema name in the x-schema-name
field that doesn't overlap with the existing schema names in the specification.
Input
paths:
/me:
get:
operationId: getMe
responses:
'200':
description: Successful response
content:
application/json:
schema:
x-schema-name: User
type: object
properties:
name:
type: string
email:
type: string
Output
class User(Model):
name: str | None = Field(default=None)
email: str | None = Field(default=None)
Enum variable names
Variable names for enums can be specified by the x-enum-varnames
field.
Input
components:
schemas:
Direction:
x-enum-varnames: [ NORTH, SOUTH, WEST, EAST ]
type: string
enum: [ N, S, W, E ]
Output
from enum import StrEnum
class Direction(StrEnum):
NORTH = "N"
SOUTH = "S"
WEST = "W"
EAST = "E"
Custom types
Register Python converters and renderers to implement custom types.
Input
components:
schemas:
User:
type: object
properties:
name:
type: string
email:
type: string
format: email
from pathlib import Path
from spec2sdk.parsers.entities import DataType, StringDataType
from spec2sdk.generators.converters import converters
from spec2sdk.generators.entities import PythonType
from spec2sdk.generators.predicates import is_instance
from spec2sdk.generators.imports import Import
from spec2sdk.generators.models.entities import TypeRenderer
from spec2sdk.generators.models.renderers import render_root_model, renderers
from spec2sdk.main import generate
class EmailPythonType(PythonType):
pass
def is_email_format(data_type: DataType) -> bool:
return isinstance(data_type, StringDataType) and data_type.format == "email"
@converters.register(predicate=is_email_format)
def convert_email_field(data_type: StringDataType) -> EmailPythonType:
return EmailPythonType(
name=None,
type_hint="EmailStr",
description=data_type.description,
default_value=data_type.default_value,
)
@renderers.register(predicate=is_instance(EmailPythonType))
def render_email_field(py_type: EmailPythonType) -> TypeRenderer:
return render_root_model(
py_type,
extra_imports=(Import(name="EmailStr", package="pydantic"),),
content="EmailStr",
)
if __name__ == "__main__":
generate(input_file=Path("api.yml"), output_dir=Path("output"))
Output
from pydantic import EmailStr, Field
class User(Model):
name: str | None = Field(default=None)
email: EmailStr | None = Field(default=None)
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