### Install flask-classful-apispec via pip

Source: https://github.com/dev-rijan/flask-classful-apispec/blob/master/README.rst

This command installs the flask-classful-apispec library and its dependencies using pip, the Python package installer. It's the first step to integrate the library into your project.

```bash
$ pip install flask-classful-apispec
```

--------------------------------

### Example Generated OpenAPI Specification

Source: https://github.com/dev-rijan/flask-classful-apispec/blob/master/README.rst

This JSON snippet shows the OpenAPI 3.0.2 specification generated by the previous Python code. It defines a GET endpoint for '/pet/' with a description and a 200 response schema referencing a 'Pet' component. The 'Pet' schema itself is defined under 'components/schemas', detailing its properties (name, id, category) and their types.

```json
{
  "paths": {
    "/pet/": {
      "get": {
        "description": "Get a list of pets",
        "responses": {
          "200": {
            "schema": {
              "$ref": "#/components/schemas/Pet"
            }
          }
        }
      }
    }
  },
  "info": {
    "title": "Swagger petstore",
    "version": "0.1.1"
  },
  "openapi": "3.0.2",
  "components": {
    "schemas": {
      "Pet": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string"
          },
          "id": {
            "type": "integer"
          },
          "category": {
            "type": "string"
          }
        }
      }
    }
  }
}
```

--------------------------------

### Generate OpenAPI Spec from Flask-Classful View

Source: https://github.com/dev-rijan/flask-classful-apispec/blob/master/README.rst

This Python example demonstrates how to integrate flask-classful-apispec with a Flask application. It sets up a Flask app, defines a PetSchema using Marshmallow, and creates a PetView using Flask-Classful. The APISpec instance then parses the docstring of the PetView's index method to automatically generate an OpenAPI 3.0.2 specification, which is then printed to the console.

```python
import json
from flask import Flask
from flask_classful import FlaskView
from flask_classful_apispec import APISpec
from marshmallow import Schema, fields

app = Flask(__name__)

app.config["DOC_TITLE"] = "Swagger petstore"
app.config["DOC_VERSION"] = "0.1.1"
app.config["DOC_OPEN_API_VERSION"] = "3.0.2"

spec = APISpec(app)

pets = [
    {'id': 0, 'name': 'Kitty', 'category': 'cat'},
    {'id': 1, 'name': 'Coco', 'category': 'dog'}
]

class PetSchema(Schema):
    id = fields.Integer()
    name = fields.String()
    category = fields.String()

class PetView(FlaskView):
    def index(self):
        """A pet api endpoint.
        ---
        description: Get a list of pets
        responses:
          200:
            schema: PetSchema
        """
        return PetSchema(many=True).dumps(pets)

PetView.register(app)
spec.paths(PetView)

print(json.dumps(spec.to_dict(), indent=2))

if __name__ == "__main__":
    app.run()
```

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