from fastapi import Body, FastAPI
from pydantic import BaseModel, Field

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = Field(
        default=None, title="The description of the item", max_length=300
    )
    price: float = Field(gt=0, description="The price must be greater than zero")
    tax: float | None = None


@app.put("/items/{item_id}")

            "externalDocs": {
                "description": "External API documentation.",
                "url": "https://docs.example.com/api-general",
            },
            "paths": {
                "/api_route": {
                    "get": {
                        "responses": {
                            "200": {
                                "description": "Successful Response",

    description: Popular word operations
  - name: monitor
    description: Monitoring operations
  - name: suggest
    description: Suggest operations
  - name: favorite
    description: Favorite operations
paths:
  /documents:
    get:
      tags:
        - search
      summary: Finds documents by query
      description: Finds documents by search conditions
      operationId: searchDocuments
      parameters:

            {"data": "Data in Body examples, example1"},
        ],
        openapi_examples={
            "Example One": {
                "summary": "Example One Summary",
                "description": "Example One Description",
                "value": {"data": "Data in Body examples, example1"},
            },
            "Example Two": {
                "value": {"data": "Data in Body examples, example2"},
            },

from fastapi import FastAPI

description = """
ChimichangApp API helps you do awesome stuff. 🚀

## Items

You can **read items**.

## Users

You will be able to:

* **Create users** (_not implemented_).
* **Read users** (_not implemented_).
"""

app = FastAPI(
    title="ChimichangApp",
    description=description,
    summary="Deadpool's favorite app. Nuff said.",
    version="0.0.1",

                        "responses": {
                            "200": {
                                "description": "Successful Response",
                                "content": {"application/json": {"schema": {}}},
                            },
                            "422": {
                                "description": "Validation Error",
                                "content": {

      ],
      "allowedVersions": "<10.0",
      "description": "JDK 11 requirement"
    },
    {
      "extends": [
        "monorepo:junit5"
      ],
      "allowedVersions": "<5.14.0",
    },
    {
      "matchPackageNames": [
        "org.junit-pioneer:junit-pioneer"
      ],
      "allowedVersions": "<2.0.0",
      "description": "JDK 11 requirement"
    },
    {
      "matchPackageNames": [

app = FastAPI()


class Item(BaseModel):
    name: str | None = None
    description: str | None = None
    price: float | None = None
    tax: float = 10.5
    tags: list[str] = []


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The bartenders", "price": 62, "tax": 20.2},
    "baz": {"name": "Baz", "description": None, "price": 50.2, "tax": 10.5, "tags": []},
}

        == response2.json()
        == [
            {"name": "Plumbus", "description": None, "sub": None},
            {
                "name": "Portal Gun",
                "description": "Device to travel through the multi-rick-verse",
                "sub": None,
            },
        ]
    )


def test_read_items():
    client = get_app_client()
    client_no = get_app_client(separate_input_output_schemas=False)

				Description: getClusterReplCurrQueuedBytesMD(),
			}

			currTransferRate := MetricV2{
				Description: getClusterReplCurrentTransferRateMD(),
			}
			avgQueueCount := MetricV2{
				Description: getClusterReplAvgQueuedOperationsMD(),
			}
			avgQueueBytes := MetricV2{
				Description: getClusterReplAvgQueuedBytesMD(),
			}
			maxQueueCount := MetricV2{