# `sys.monitoring` --- Execution event monitoring

Added in version 3.12.

Catatan

`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`.

This namespace provides access to the functions and constants necessary to activate and control event monitoring.

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.

The monitoring API consists of three components:

- Tool identifiers

- Events

- Callbacks

## Tool identifiers

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.

### Registering and using tools

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.free_tool_id(tool_id: int, /) → None

  Should be called once a tool no longer requires tool_id.

Catatan

`free_tool_id()` will not disable global or local events associated with tool_id, nor will it unregister any callback functions. This function is only intended to be used to notify the VM that the particular tool_id is no longer in use.

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.

All IDs are treated the same by the VM with regard to events, but the following IDs are pre-defined to make co-operation of tools easier:

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

## Events

The following events are supported:

sys.monitoring.events.BRANCH

  A conditional branch is taken (or not).

sys.monitoring.events.CALL

  A call in Python code (event occurs before the call).

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

  An exception is handled.

sys.monitoring.events.INSTRUCTION

  A VM instruction is about to be executed.

sys.monitoring.events.JUMP

  An unconditional jump in the control flow graph is made.

sys.monitoring.events.LINE

  An instruction is about to be executed that has a different line number from the preceding instruction.

sys.monitoring.events.PY_RESUME

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

sys.monitoring.events.PY_RETURN

  Return from a Python function (occurs immediately before the return, the callee's frame will be on the stack).

sys.monitoring.events.PY_START

  Start of a Python function (occurs immediately after the call, the callee's frame will be on the stack)

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.

sys.monitoring.events.PY_YIELD

  Yield from a Python function (occurs immediately before the yield, the callee's frame will be on the stack).

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.

More events may be added in the future.

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:
          ...

Events are divided into three groups:

### Local events

Local events are associated with normal execution of the program and happen at clearly defined locations. All local events can be disabled. The local events are:

- `PY_START`

- `PY_RESUME`

- `PY_RETURN`

- `PY_YIELD`

- `CALL`

- `LINE`

- `INSTRUCTION`

- `JUMP`

- `BRANCH`

- `STOP_ITERATION`

### Ancillary events

Ancillary events can be monitored like other events, but are controlled by another event:

- `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.

### Other events

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

The other events that can be monitored are:

- `PY_THROW`

- `PY_UNWIND`

- `RAISE`

- `EXCEPTION_HANDLED`

### The STOP_ITERATION event

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`.

## Turning events on and off

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 or for a particular code object.

### Setting events globally

Events can be controlled globally by modifying the set of events being monitored.

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

  Returns the `int` representing all the active events.

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 events are active by default.

### Per code object events

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.

Local events add to global events, but do not mask them. In other words, all global events will trigger for a code object, regardless of the local events.

### Disabling events

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.

Disabling events for specific locations is very important for high performance monitoring. For example, a program can be run under a debugger with no overhead if the debugger disables all monitoring except for a few breakpoints.

sys.monitoring.restart_events() → None

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

## Registering callback functions

To register a callable for events call

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`.

Functions can be unregistered by calling `sys.monitoring.register_callback(tool_id, event, None)`.

Callback functions can be registered and unregistered at any time.

Registering or unregistering a callback function will generate a `sys.audit()` event.

### Callback function arguments

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. Different events will provide the callback function with different arguments, as follows:

- `PY_START` and `PY_RESUME`:

      func(code: CodeType, instruction_offset: int) -> DISABLE | Any

- `PY_RETURN` and `PY_YIELD`:

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

- `CALL`, `C_RAISE` and `C_RETURN`:

      func(code: CodeType, instruction_offset: int, callable: object, arg0: object | MISSING) -> DISABLE | Any

  If there are no arguments, arg0 is set to `sys.monitoring.MISSING`.

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

      func(code: CodeType, instruction_offset: int, exception: BaseException) -> DISABLE | Any

- `LINE`:

      func(code: CodeType, line_number: int) -> DISABLE | Any

- `BRANCH` and `JUMP`:

      func(code: CodeType, instruction_offset: int, destination_offset: int) -> DISABLE | Any

  Note that the destination_offset is where the code will next execute. For an untaken branch this will be the offset of the instruction following the branch.

- `INSTRUCTION`:

      func(code: CodeType, instruction_offset: int) -> DISABLE | Any