},
                        },
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "required": False,
                            "schema": IsDict(
                                {

  // provisioner indicates the type of the provisioner.
  optional string provisioner = 2;

  // parameters holds the parameters for the provisioner that should
  // create volumes of this storage class.
  // +optional
  map<string, string> parameters = 3;

  // reclaimPolicy controls the reclaimPolicy for dynamically provisioned PersistentVolumes of this storage class.
  // Defaults to Delete.

# Reference

Here's the reference or code API, the classes, functions, parameters, attributes, and
all the FastAPI parts you can use in your applications.

If you want to **learn FastAPI** you are much better off reading the

# `APIRouter` class

Here's the reference information for the `APIRouter` class, with all its parameters, attributes and methods.

You can import the `APIRouter` class directly from `fastapi`:

```python
from fastapi import APIRouter
```

::: fastapi.APIRouter
    options:
        members:
            - websocket
            - include_router
            - get
            - put
            - post
            - delete

message ResourceClaimSpec {
  // ResourceClassName references the driver and additional parameters
  // via the name of a ResourceClass that was created as part of the
  // driver deployment.
  optional string resourceClassName = 1;

  // ParametersRef references a separate object with arbitrary parameters
  // that will be used by the driver when allocating a resource for the
  // claim.
  //

    return result
  }
}

internal data class AlgorithmIdentifier(
  /** An OID string like "1.2.840.113549.1.1.11" for sha256WithRSAEncryption. */
  val algorithm: String,
  /** Parameters of a type implied by [algorithm]. */
  val parameters: Any?,
)

internal data class AttributeTypeAndValue(
  /** An OID string like "2.5.4.11" for organizationalUnitName. */
  val type: String,
  val value: Any?,
)

            }
            logger.lifecycle("Cleaning up caches...")
            val homeDir = parameters.homeDir.get()

            homeDir.asFile.listFiles()?.filter { it.name.startsWith("distributions-") }?.forEach {
                val workerDir = homeDir.dir(it.name)
                cleanupDistributionCaches(workerDir, GradleVersion.version(parameters.gradleVersion.get()))
            }
            hasCleaned = true
        }
    }

```Python hl_lines="6-7"
{!../../docs_src/path_params/tutorial001.py!}
```

Der Wert des Pfad-Parameters `item_id` wird Ihrer Funktion als das Argument `item_id` übergeben.

            "type" : "long"
          },
          "fileConfigId" : {
            "type" : "keyword"
          },
          "hostname" : {
            "type" : "keyword"
          },
          "parameters" : {
            "type" : "keyword"
          },
          "password" : {
            "type" : "keyword"
          },
          "port" : {
            "type" : "integer"
          },

# Response Model - Return Type

You can declare the type used for the response by annotating the *path operation function* **return type**.

You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc.

//// tab | Python 3.10+

```Python hl_lines="16  21"
{!> ../../docs_src/response_model/tutorial001_01_py310.py!}
```