# `sys.monitoring` — Execution event monitoring

Added in version 3.12.

Nota

`sys.monitoring` is a namespace within the `sys` module, not an independent module, so there is no need to `import sys.monitoring`, simply `import sys` and then use `sys.monitoring`.

Este espacio de nombres proporciona acceso a las funciones y constantes necesarias para activar y controlar el monitoreo de eventos.

As programs execute, events occur that might be of interest to tools that monitor execution. The `sys.monitoring` namespace provides means to receive callbacks when events of interest occur.

La API de monitoreo consta de tres componentes:

- Tool identifiers

- Events

- Callbacks

## Identificadores de herramientas

A tool identifier is an integer and the associated name. Tool identifiers are used to discourage tools from interfering with each other and to allow multiple tools to operate at the same time. Currently tools are completely independent and cannot be used to monitor each other. This restriction may be lifted in the future.

Before registering or activating events, a tool should choose an identifier. Identifiers are integers in the range 0 to 5 inclusive.

### Registro y uso de herramientas

sys.monitoring.use_tool_id(tool_id: int, name: str, /) → None

  Must be called before tool_id can be used. tool_id must be in the range 0 to 5 inclusive. Raises a `ValueError` if tool_id is in use.

sys.monitoring.clear_tool_id(tool_id: int, /) → None

  Unregister all events and callback functions associated with tool_id.

sys.monitoring.free_tool_id(tool_id: int, /) → None

  Should be called once a tool no longer requires tool_id. Will call `clear_tool_id()` before releasing tool_id.

sys.monitoring.get_tool(tool_id: int, /) → str | None

  Returns the name of the tool if tool_id is in use, otherwise it returns `None`. tool_id must be in the range 0 to 5 inclusive.

La máquina virtual trata todos los ID de la misma manera con respecto a los eventos, pero los siguientes ID están predefinidos para facilitar la cooperación de las herramientas:

    sys.monitoring.DEBUGGER_ID = 0
    sys.monitoring.COVERAGE_ID = 1
    sys.monitoring.PROFILER_ID = 2
    sys.monitoring.OPTIMIZER_ID = 5

## Eventos

Son aceptados los siguientes eventos:

sys.monitoring.events.BRANCH_LEFT

  A conditional branch goes left.

  It is up to the tool to determine how to present «left» and «right» branches. There is no guarantee which branch is «left» and which is «right», except that it will be consistent for the duration of the program.

sys.monitoring.events.BRANCH_RIGHT

  A conditional branch goes right.

sys.monitoring.events.CALL

  Una llamada en código Python (el evento ocurre antes de la llamada).

sys.monitoring.events.C_RAISE

  An exception raised from any callable, except for Python functions (event occurs after the exit).

sys.monitoring.events.C_RETURN

  Return from any callable, except for Python functions (event occurs after the return).

sys.monitoring.events.EXCEPTION_HANDLED

  Se maneja una excepción.

sys.monitoring.events.INSTRUCTION

  Está a punto de ejecutarse una instrucción de VM.

sys.monitoring.events.JUMP

  Se realiza un salto incondicional en el gráfico de flujo de control.

sys.monitoring.events.LINE

  Está a punto de ejecutarse una instrucción que tiene un número de línea diferente al de la instrucción anterior.

sys.monitoring.events.PY_RESUME

  Resumption of a Python function (for generator and coroutine functions), except for `throw()` calls.

sys.monitoring.events.PY_RETURN

  Retorna de una función Python (ocurre inmediatamente antes del retorno, el marco del destinatario estará en la pila).

sys.monitoring.events.PY_START

  Inicio de una función Python (ocurre inmediatamente después de la llamada, el marco del destinatario estará en la pila)

sys.monitoring.events.PY_THROW

  A Python function is resumed by a `throw()` call.

sys.monitoring.events.PY_UNWIND

  Exit from a Python function during exception unwinding. This includes exceptions raised directly within the function and that are allowed to continue to propagate.

sys.monitoring.events.PY_YIELD

  Rinde (yield) desde una función Python (ocurre inmediatamente antes del rendimiento, el marco del destinatario estará en la pila).

sys.monitoring.events.RAISE

  An exception is raised, except those that cause a `STOP_ITERATION` event.

sys.monitoring.events.RERAISE

  An exception is re-raised, for example at the end of a `finally` block.

sys.monitoring.events.STOP_ITERATION

  An artificial `StopIteration` is raised; see the STOP_ITERATION event.

Es posible que se agreguen más eventos en el futuro.

These events are attributes of the `sys.monitoring.events` namespace. Each event is represented as a power-of-2 integer constant. To define a set of events, simply bitwise OR the individual events together. For example, to specify both `PY_RETURN` and `PY_START` events, use the expression `PY_RETURN | PY_START`.

sys.monitoring.events.NO_EVENTS

  An alias for `0` so users can do explicit comparisons like:

      if get_events(DEBUGGER_ID) == NO_EVENTS:
          ...

  Setting this event deactivates all events.

### Eventos locales

Los eventos locales están asociados con la ejecución normal del programa y ocurren en lugares claramente definidos. Todos los eventos locales se pueden desactivar. Los eventos locales son:

- `PY_START`

- `PY_RESUME`

- `PY_RETURN`

- `PY_YIELD`

- `CALL`

- `LINE`

- `INSTRUCTION`

- `JUMP`

- `BRANCH_LEFT`

- `BRANCH_RIGHT`

- `STOP_ITERATION`

### Deprecated event

- `BRANCH`

The `BRANCH` event is deprecated in 3.14. Using `BRANCH_LEFT` and `BRANCH_RIGHT` events will give much better performance as they can be disabled independently.

### Eventos auxiliares

Los eventos auxiliares se pueden monitorear como otros eventos, pero están controlados por otros eventos:

- `C_RAISE`

- `C_RETURN`

The `C_RETURN` and `C_RAISE` events are controlled by the `CALL` event. `C_RETURN` and `C_RAISE` events will only be seen if the corresponding `CALL` event is being monitored.

### Otros eventos

Other events are not necessarily tied to a specific location in the program and cannot be individually disabled via `DISABLE`.

Los otros eventos que se pueden monitorear son:

- `PY_THROW`

- `PY_UNWIND`

- `RAISE`

- `EXCEPTION_HANDLED`

### El evento STOP_ITERATION

PEP 380 specifies that a `StopIteration` exception is raised when returning a value from a generator or coroutine. However, this is a very inefficient way to return a value, so some Python implementations, notably CPython 3.12+, do not raise an exception unless it would be visible to other code.

To allow tools to monitor for real exceptions without slowing down generators and coroutines, the `STOP_ITERATION` event is provided. `STOP_ITERATION` can be locally disabled, unlike `RAISE`.

Note that the `STOP_ITERATION` event and the `RAISE` event for a `StopIteration` exception are equivalent, and are treated as interchangeable when generating events. Implementations will favor `STOP_ITERATION` for performance reasons, but may generate a `RAISE` event with a `StopIteration`.

## Activar y desactivar eventos

In order to monitor an event, it must be turned on and a corresponding callback must be registered. Events can be turned on or off by setting the events either globally and/or for a particular code object. An event will trigger only once, even if it is turned on both globally and locally.

### Configuración de eventos globalmente

Los eventos se pueden controlar globalmente modificando el conjunto de eventos que están siendo monitoreados.

sys.monitoring.get_events(tool_id: int, /) → int

  Retorna el `int` que representa todos los eventos activos.

sys.monitoring.set_events(tool_id: int, event_set: int, /) → None

  Activates all events which are set in event_set. Raises a `ValueError` if tool_id is not in use.

No hay eventos activos de forma predeterminada.

### Eventos por objeto de código

Events can also be controlled on a per code object basis. The functions defined below which accept a `types.CodeType` should be prepared to accept a look-alike object from functions which are not defined in Python (see Monitoring C API).

sys.monitoring.get_local_events(tool_id: int, code: CodeType, /) → int

  Returns all the local events for code

sys.monitoring.set_local_events(tool_id: int, code: CodeType, event_set: int, /) → None

  Activates all the local events for code which are set in event_set. Raises a `ValueError` if tool_id is not in use.

### Deshabilitando eventos

sys.monitoring.DISABLE

  A special value that can be returned from a callback function to disable events for the current code location.

Local events can be disabled for a specific code location by returning `sys.monitoring.DISABLE` from a callback function. This does not change which events are set, or any other code locations for the same event.

Deshabilitar eventos para ubicaciones específicas es muy importante para el monitoreo de alto rendimiento. Por ejemplo, un programa se puede ejecutar con un depurador sin gastos adicionales si el depurador desactiva toda la supervisión excepto algunos puntos de interrupción.

If `DISABLE` is returned by a callback for a global event, `ValueError` will be raised by the interpreter in a non-specific location (that is, no traceback will be provided).

sys.monitoring.restart_events() → None

  Enable all the events that were disabled by `sys.monitoring.DISABLE` for all tools.

## Registrando funciones de retrollamada

sys.monitoring.register_callback(tool_id: int, event: int, func: Callable | None, /) → Callable | None

  Registers the callable func for the event with the given tool_id

  If another callback was registered for the given tool_id and event, it is unregistered and returned. Otherwise `register_callback()` returns `None`.

  Raises an auditing event `sys.monitoring.register_callback` with argument `func`.

Funciones pueden ser canceladas llamando `sys.monitoring.register_callback(tool_id, event, None)`.

Las funciones de retrollamada se pueden registrar y cancelar en cualquier momento.

Callbacks are called only once regardless if the event is turned on both globally and locally. As such, if an event could be turned on for both global and local events by your code then the callback needs to be written to handle either trigger.

### Argumentos de la función de retrollamada

sys.monitoring.MISSING

  A special value that is passed to a callback function to indicate that there are no arguments to the call.

When an active event occurs, the registered callback function is called. Callback functions returning an object other than `DISABLE` will have no effect. Different events will provide the callback function with different arguments, as follows:

- `PY_START` and `PY_RESUME`:

      func(code: CodeType, instruction_offset: int) -> object

- `PY_RETURN` and `PY_YIELD`:

      func(code: CodeType, instruction_offset: int, retval: object) -> object

- `CALL`, `C_RAISE` and `C_RETURN` (arg0 can be `MISSING` specifically):

      func(code: CodeType, instruction_offset: int, callable: object, arg0: object) -> object

  code represents the code object where the call is being made, while callable is the object that is about to be called (and thus triggered the event). If there are no arguments, arg0 is set to `sys.monitoring.MISSING`.

  For instance methods, callable will be the function object as found on the class with arg0 set to the instance (i.e. the `self` argument to the method).

- `RAISE`, `RERAISE`, `EXCEPTION_HANDLED`, `PY_UNWIND`, `PY_THROW` and `STOP_ITERATION`:

      func(code: CodeType, instruction_offset: int, exception: BaseException) -> object

- `LINE`:

      func(code: CodeType, line_number: int) -> object

- `BRANCH_LEFT`, `BRANCH_RIGHT` and `JUMP`:

      func(code: CodeType, instruction_offset: int, destination_offset: int) -> object

  Note that the destination_offset is where the code will next execute.

- `INSTRUCTION`:

      func(code: CodeType, instruction_offset: int) -> object