- 'https://server3-pool2:9000/mnt/disk{1...4}/'
        - 'https://server4-pool2:9000/mnt/disk{1...4}/'

options:
  ftp: # settings for MinIO to act as an ftp server
        address: ':8021'
        passive-port-range: '30000-40000'
  sftp: # settings for MinIO to act as an sftp server
        address: ':8022'

      value:
      render: shell
    validations:
      required: true
  - type: textarea
    id: logs
    attributes:
      label: Relevant log output
      description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.

    ```

=== "Python 3.8+"

    ```Python hl_lines="19-21"
    {!> ../../../docs_src/body_multiple_params/tutorial001.py!}
    ```

!!! note "Nota"
    Repare que, neste caso, o `item` que seria capturado a partir do corpo é opcional. Visto que ele possui `None` como valor padrão.

## Múltiplos parâmetros de corpo

No exemplo anterior, as *operações de rota* esperariam um JSON no corpo contendo os atributos de um `Item`, exemplo:

Dans ce cadre, j'ai dû étudier, tester et utiliser de nombreuses alternatives.

L'histoire de **FastAPI** est en grande partie l'histoire de ses prédécesseurs.

Comme dit dans la section [Alternatives](alternatives.md){.internal-link target=\_blank} :

<blockquote markdown="1">

    git config --global --add safe.directory /tf/tensorflow
    # Note that you could generate a list of all the affected targets with e.g.:
    # bazel query $(paste -sd "+" $BATS_FILE_TMPDIR/changed_files) --keep_going
    # Only shows Added, Changed, Modified, Renamed, and Type-changed files
    if [[ "$(git rev-parse --abbrev-ref HEAD)" = "pull_branch" ]]; then

# Usage: Go to
# https://github.com/tensorflow/tensorflow/actions/workflows/release-branch-cherrypick.yml
# and click "Run Workflow." Leave "Use Workflow From" set to "master", then
# input the branch name and paste the cherry-pick commit and click Run. A PR
# will be created.

name: Release Branch Cherrypick
on:
  workflow_dispatch:
    inputs:
      # We use this instead of the "run on branch" argument because GitHub looks

package config

// Opts holds MinIO configuration options
type Opts struct {
	FTP struct {
		Address          string `yaml:"address"`
		PassivePortRange string `yaml:"passive-port-range"`
	} `yaml:"ftp"`
	SFTP struct {
		Address       string `yaml:"address"`
		SSHPrivateKey string `yaml:"ssh-private-key"`
	} `yaml:"sftp"`
}

// ServerConfigVersion struct is used to extract the version

then verify that requests were made as expected.

Because it exercises your full HTTP stack, you can be confident that you're
testing everything. You can even copy & paste HTTP responses from your real web
server to create representative test cases. Or test that your code survives in
awkward-to-reproduce situations like 500 errors or slow-loading responses.


### Example

    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

#### Um modelo Pydantic a partir do conteúdo de outro

Como no exemplo acima, obtivemos o `user_dict` a partir do `user_in.dict()`, este código:

```Python
user_dict = user_in.dict()
UserInDB(**user_dict)
```

seria equivalente a:

```Python

  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

### 4. Update `scrape_configs` section in prometheus.yml

To authorize every scrape request, copy and paste the generated `scrape_configs` section in the prometheus.yml and restart the Prometheus service.

### 5. Start Prometheus

Start (or) Restart Prometheus service by running

```sh