Skip to main content

Generate Pydantic models and API client code from OpenAPI 3.x specifications

Project description

Usage

From command line

  • Local specification spec2sdk --schema-path path/to/api.yml --output-dir path/to/output-dir/
  • Remove specification spec2sdk --schema-url https://example.com/path/to/api.yml --output-dir path/to/output-dir/

From the code

from pathlib import Path
from spec2sdk.main import generate

# Local specification
generate(schema_url=Path("path/to/api.yml").absolute().as_uri(), output_dir=Path("path/to/output-dir/"))

# Remove specification
generate(schema_url="https://example.com/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 typing import Sequence

from spec2sdk.openapi.entities import DataType, StringDataType
from spec2sdk.models.converters import converters, convert_common_fields
from spec2sdk.models.entities import PythonType
from spec2sdk.models.imports import Import
from spec2sdk.main import generate


class EmailType(PythonType):
    @property
    def type_hint(self) -> str:
        return self.name or "EmailStr"

    @property
    def imports(self) -> Sequence[Import]:
        return (
            Import(name="EmailStr", package="pydantic"),
        )

    def render(self) -> str:
        return f"type {self.name} = EmailStr" if self.name else ""


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) -> EmailType:
    return EmailType(**convert_common_fields(data_type))


if __name__ == "__main__":
    generate(schema_url=Path("api.yml").absolute().as_uri(), 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)

Using generated client

  1. Create HTTP client. It should conform to the HTTPClientProtocol which can be found in the generated http_client.py. Below is an example of the HTTP client implemented using httpx library to handle HTTP requests. Assume that sdk is the output directory for the generated code.
from http import HTTPStatus

import httpx
from httpx._types import AuthTypes, TimeoutTypes

from sdk.http_client import HTTPRequest, HTTPResponse


class HTTPClient:
    def __init__(self, *, base_url: str, auth: AuthTypes | None = None, timeout: TimeoutTypes | None = None, **kwargs):
        self._http_client = httpx.Client(auth=auth, base_url=base_url, timeout=timeout, **kwargs)

    def send_request(self, *, request: HTTPRequest) -> HTTPResponse:
        response = self._http_client.request(
            method=request.method,
            url=request.url,
            content=request.content,
            headers=request.headers,
        )
        return HTTPResponse(
            status_code=HTTPStatus(response.status_code),
            content=response.content,
            headers=response.headers.multi_items(),
        )
  1. Create API client. It should conform to the APIClientProtocol which can be found in the generated api_client.py. Below is an example of the API client.
from http import HTTPMethod, HTTPStatus
from types import NoneType
from typing import Any, Mapping, Type
from urllib.parse import urlencode

from pydantic import TypeAdapter

from sdk.api_client import APIClientResponse
from sdk.http_client import HTTPClientProtocol, HTTPRequest


class APIClient:
    def __init__(self, http_client: HTTPClientProtocol):
        self._http_client = http_client

    def serialize[T](self, *, data: T, data_type: Type[T], content_type: str | None) -> bytes:
        match content_type:
            case "application/json":
                return TypeAdapter(data_type).dump_json(data, by_alias=True)
            case _:
                return data

    def deserialize[T](self, *, data: bytes | None, data_type: Type[T], content_type: str | None) -> T:
        match content_type:
            case "application/json":
                return TypeAdapter(data_type).validate_json(data)
            case _:
                return data

    def build_url(self, path: str, query: Mapping[str, Any] | None = None) -> str:
        if query is None:
            return path

        return f"{path}?{urlencode(query, doseq=True)}"

    def send_request[I, O](
        self,
        *,
        method: HTTPMethod,
        path: str,
        query: Mapping[str, Any] | None = None,
        content_type: str | None = None,
        data: I | None = None,
        data_type: Type[I] = NoneType,
        accept: str | None = None,
        response_type: Type[O] = NoneType,
        expected_status_code: HTTPStatus = HTTPStatus.OK,
    ) -> APIClientResponse[O]:
        content = self.serialize(data=data, data_type=data_type, content_type=content_type) if data else None
        request = HTTPRequest(
            method=method,
            url=self.build_url(path, query),
            headers=(("Content-Type", content_type),) if content_type else (),
            content=content,
        )
        response = self._http_client.send_request(request=request)

        if response.status_code != expected_status_code:
            raise Exception(
                f"Response has unexpected status code. Expected {expected_status_code}, got {response.status_code}."
            )

        if accept is not None and not any(
            response_content_type := tuple(
                value for key, value in response.headers if (key.lower() == "content-type") and (accept in value)
            ),
        ):
            raise Exception(f"Response has unexpected content type. Expected {accept}, got {response_content_type}.")

        return APIClientResponse(
            http_response=response,
            data=self.deserialize(data=response.content, data_type=response_type, content_type=accept),
        )
  1. Combine clients together to access API.
from sdk.api import API

api = API(
    api_client=APIClient(
        http_client=HTTPClient(
            base_url="https://api.example.com",
            auth=BasicAuth(username="user", password="pass"),
        ),
    ),
)

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spec2sdk-1.0.202502171012.tar.gz (18.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

spec2sdk-1.0.202502171012-py3-none-any.whl (24.1 kB view details)

Uploaded Python 3

File details

Details for the file spec2sdk-1.0.202502171012.tar.gz.

File metadata

  • Download URL: spec2sdk-1.0.202502171012.tar.gz
  • Upload date:
  • Size: 18.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.4 CPython/3.12.3 Linux/6.8.0-1021-azure

File hashes

Hashes for spec2sdk-1.0.202502171012.tar.gz
Algorithm Hash digest
SHA256 95065942496283081e8727c69d805cadbe1fa14e608695c3347e14129da608e9
MD5 638a1fc1ac544b8bc16c04431cc22f0a
BLAKE2b-256 7381778110407cf36ab859cd7d50e54303dac2d033d4bd90467f1f42dfd4695e

See more details on using hashes here.

File details

Details for the file spec2sdk-1.0.202502171012-py3-none-any.whl.

File metadata

  • Download URL: spec2sdk-1.0.202502171012-py3-none-any.whl
  • Upload date:
  • Size: 24.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.4 CPython/3.12.3 Linux/6.8.0-1021-azure

File hashes

Hashes for spec2sdk-1.0.202502171012-py3-none-any.whl
Algorithm Hash digest
SHA256 613f1d05a09e8ed69c6e3b5fc49d574f72e78338610d4f155e0660070c538e9f
MD5 29213d238774cff386a01281062a6c8d
BLAKE2b-256 4edac0628f75784e9bc9f2010e40fa028c54622ae020747233168c1c811bdd57

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page