Metadata-Version: 2.1
Name: spec2sdk
Version: 1.0.202501301205
Summary: Generate Pydantic models and API client code from OpenAPI 3.x specifications
Home-page: https://github.com/moneymeets/spec2sdk
License: MIT
Keywords: openapi,pydantic,code-generator,openapi-codegen
Author: moneymeets
Author-email: service@moneymeets.com
Requires-Python: >=3.12,<3.13
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: jinja2
Requires-Dist: openapi-spec-validator
Requires-Dist: pydantic (>=2,<3)
Requires-Dist: pyhumps
Requires-Dist: ruff
Project-URL: Repository, https://github.com/moneymeets/spec2sdk
Description-Content-Type: text/markdown

# Usage

## From command line

`spec2sdk --input path/to/api.yml --output-dir path/to/output-dir/`

## From the code

```python
from pathlib import Path
from spec2sdk.main import generate

generate(url=Path("path/to/api.yml").absolute().as_uri(), 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

```yaml
paths:
  /health:
    get:
      operationId: healthCheck
      responses:
        '200':
          description: Successful response
```

### Output

```python
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

```yaml
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

```python
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

```yaml
components: 
  schemas:
    Direction:
      x-enum-varnames: [ NORTH, SOUTH, WEST, EAST ]
      type: string
      enum: [ N, S, W, E ]
```

### Output

```python
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

```yaml
components: 
  schemas: 
    User:
      type: object
      properties:
        name:
          type: string
        email:
          type: string
          format: email
```

```python
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(url=Path("api.yml").absolute().as_uri(), output_dir=Path("output"))
```

## Output

```python
from pydantic import EmailStr, Field

class User(Model):
    name: str | None = Field(default=None)
    email: EmailStr | None = Field(default=None)
```

