async def send_notification(
    email: str, background_tasks: BackgroundTasks, q: str = Depends(get_query)
):
    message = f"message to {email}\n"
    background_tasks.add_task(write_log, message)

The authentication flow is similar to that of OpenID, however the token is "opaque" to MinIO - it is simply sent to the plugin for verification. CAVEAT: There is no console UI integration for this method of authentication and it is intended primarily for machine authentication.

-rwxrwxrwx 1 nobody nobody           45 Apr  1 06:13 chunkdocs/metadata
226 Closing data connection, sent 75 bytes
ftp> get
(remote-file) runner/chunkdocs/metadata
(local-file) test
local: test remote: runner/chunkdocs/metadata
229 Entering Extended Passive Mode (|||37785|)
150 Data transfer starting 45 bytes
	45        3.58 KiB/s
226 Closing data connection, sent 45 bytes
45 bytes received in 00:00 (3.55 KiB/s)
...
```

    return await http_exception_handler(request, exc)


@app.exception_handler(RequestValidationError)
async def validation_exception_handler(request, exc):
    print(f"OMG! The client sent invalid data!: {exc}")
    return await request_validation_exception_handler(request, exc)


@app.get("/items/{item_id}")
async def read_item(item_id: int):
    if item_id == 3:

   * that tests of {@link CopyOnWriteArrayList} can suppress them with {@code
   * FeatureSpecificTestSuiteBuilder.suppressing()} until <a
   * href="http://bugs.sun.com/bugdatabase/view_bug.do?bug_id=6570631">Sun bug 6570631</a> is fixed.
   */
  @J2ktIncompatible
  @GwtIncompatible // reflection
  public static Method getSubListOriginalListSetAffectsSubListMethod() {

   * that tests of {@link CopyOnWriteArrayList} can suppress them with {@code
   * FeatureSpecificTestSuiteBuilder.suppressing()} until <a
   * href="http://bugs.sun.com/bugdatabase/view_bug.do?bug_id=6570631">Sun bug 6570631</a> is fixed.
   */
  @J2ktIncompatible
  @GwtIncompatible // reflection
  public static Method getSubListOriginalListSetAffectsSubListMethod() {

    * Met validators kunnen complexe dataschema's duidelijk en eenvoudig worden gedefinieerd, gecontroleerd en gedocumenteerd als JSON Schema.
    * Je kunt diep **geneste JSON** objecten laten valideren en annoteren.
* **Uitbreidbaar**:
    * Met Pydantic kunnen op maat gemaakte datatypen worden gedefinieerd of je kunt validatie uitbreiden met methoden op een model dat is ingericht met de decorator validator.

    email: str, background_tasks: BackgroundTasks, q: Annotated[str, Depends(get_query)]
):
    message = f"message to {email}\n"
    background_tasks.add_task(write_log, message)

@app.post("/send-notification/{email}")
async def send_notification(email: str, background_tasks: BackgroundTasks):
    background_tasks.add_task(write_notification, email, message="some notification")

    email: str, background_tasks: BackgroundTasks, q: Annotated[str, Depends(get_query)]
):
    message = f"message to {email}\n"
    background_tasks.add_task(write_log, message)