* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

那麼你就能只透過依賴與子依賴，為每個端點加入不同的權限需求：

```mermaid
graph TB

current_user(["current_user"])
active_user(["active_user"])
admin_user(["admin_user"])
paying_user(["paying_user"])

public["/items/public/"]
private["/items/private/"]
activate_user["/users/{user_id}/activate"]
pro_items["/items/pro/"]

# Declara una variable como un str
# y obtiene soporte del editor dentro de la función
def main(user_id: str):
    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que luego puede ser usado como:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",

For example, let's say you have 4 API endpoints (*path operations*):

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

then you could add different permission requirements for each of them just with dependencies and sub-dependencies:

```mermaid
graph TB

current_user(["current_user"])

Nehmen wir zum Beispiel an, Sie haben vier API-Endpunkte (*Pfadoperationen*):

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

Dann könnten Sie für jeden davon unterschiedliche Berechtigungsanforderungen hinzufügen, nur mit Abhängigkeiten und Unterabhängigkeiten:

```mermaid
graph TB

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

That can then be used like:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",

# Declare uma variável como str
# e obtenha suporte do editor dentro da função
def main(user_id: str):
    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que então pode ser usado como:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",

├── opensearch/                # DBFlute integration for OpenSearch
│   ├── config/                # Config index (crawl configs, schedules)
│   ├── log/                   # Log index (search logs, click logs)
│   └── user/                  # User index (users, groups, roles)
├── helper/                    # Cross-cutting utilities (~40+ helpers)
├── crawler/                   # Crawling engine (processor, transformer, service)

```

Create a new admin user `admin1` on MinIO use `mc admin user`.

```
mc admin user add myminio admin1 admin123
```

Once the user is successfully created you can now apply the `userManage` policy for this user.

```
mc admin policy attach myminio userManager --user=admin1
```

This admin user will then be allowed to perform create/delete user operations via `mc admin user`

Par exemple, supposons que vous ayez 4 endpoints d’API (chemins d’accès) :

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

alors vous pourriez ajouter différentes exigences d’autorisations pour chacun d’eux uniquement avec des dépendances et des sous-dépendances :

```mermaid
graph TB

    }

    // --- Prompt building methods ---

    /**
     * Wraps user input with delimiters, escaping any closing tags in the content.
     *
     * @param userMessage the user's message to wrap
     * @return the wrapped user input
     */
    protected String wrapUserInput(final String userMessage) {