# Copyright 2021-2025 Avaiga Private Limited
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
#        http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
# an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
# specific language governing permissions and limitations under the License.

from typing import Callable, Dict, List, Optional, Union

from taipy import DataNode, Gui, Scenario, Submission, SubmissionStatus
from taipy.common._check_dependencies import EnterpriseEditionUtils
from taipy.common.logger._taipy_logger import _TaipyLogger
from taipy.core.common._utils import _load_fct
from taipy.core.config import DataNodeConfig, ScenarioConfig, TaskConfig
from taipy.core.notification import (
    Event,
    EventEntityType,
    EventOperation,
    Notifier,
    _Registration,
    _Topic,
)
from taipy.core.notification._core_event_consumer import _CoreEventConsumerBase
from taipy.event._event_callback import _Callback
from taipy.event._event_processor import _AbstractEventProcessor, _EventProcessor
from taipy.event.exceptions.exceptions import NoGuiDefinedInEventProcessor


class EventProcessor(_CoreEventConsumerBase):
    """The Taipy event processor service.

    This service listens for events in a Taipy application and triggers callback
    executions when events matching specific topics are produced. The service handle
    both cases where callbacks are broadcast to all states or executed once on the
    server side.

    The main method to use is `on_event()`, that registers a callback to a topic.

    Before starting the event processor service, register each callback to a topic.
    The topics are defined by the entity type, the entity id, the operation, and the
    attribute name of the events. If an event matching the provided topic is produced,
    the callback execution is triggered.

    For more information about the event attributes please refer to the `Event^` class.

    !!! note "Filters"

        For each registered callback, you can specify a custom filter function in addition
        to the topic. This is mostly useful when your filter is more complex than the
        topic. The filter must accept an event as the only argument and return a
        boolean. If the filter returns False on an event, the callback is not triggered.
        See an example below.

    !!! note "Callback extra arguments"

        For each registered callback, you can also specify extra arguments to be passed to
        the callback function in addition to the event. The extra arguments must be provided
        as a list of values.

    !!! note "Broadcast a callback to all states"

        When registering a callback, you can specify if the callback is automatically
        broadcast to all states. In this case, the first argument of the callback must be
        the state otherwise it is the `Gui^` instance. The second argument is the event.
        Optionally, the callback can accept more extra arguments (see the `callback_args`
        argument).

    !!! example

        === "One callback to match all events"

            ```python
            from taipy import Event, EventProcessor, Gui

            def event_received(gui: Gui, event: Event):
                print(f"Received event created at : {event.creation_date}")

            if __name__ == "__main__":
                event_processor = EventProcessor()
                event_processor.on_event(callback=event_received)
                event_processor.start()
            ```

        === "Two callbacks to match different topics"

            ```python
            from taipy import Event, EventProcessor, Gui

            def on_entity_creation(event: Event, gui: Gui):
                print(f" {event.entity_type} entity created at {event.creation_date}")

            def on_scenario(event: Event, gui: Gui):
                print(f"Scenario '{event.entity_id}' processed for a '{event.operation}' operation.")

            if __name__ == "__main__":
                event_processor = EventProcessor()
                event_processor.on_event(callback=on_entity_creation, operation=EventOperation.CREATION)
                event_processor.on_event(callback=scenario_event, entity_type=EventEntityType.SCENARIO)
                event_processor.start()
            ```

        === "Callbacks to be broadcast to all states"

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui

            def event_received(state, event: Event):
                scenario = tp.get(event.entity_id)
                print(f"Received event created at : {event.creation_date} for scenario '{scenario.name}'.")

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.broadcast_on_event(callback=event_received)
                event_processor.start()
                taipy.run(gui)
            ```

        === "Two callbacks for scenario creations"

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State

            def print_scenario_created(event: Event, scenario: Scenario, gui: Gui):
                print(f"Scenario '{scenario.name}' created at '{event.creation_date}'.")

            def store_latest_scenario(state: State, event: Event, scenario: Scenario):
                print(f"Scenario '{scenario.name}' created at '{event.creation_date}'.")
                state.latest_scenario = scenario

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.on_scenario_created(callback=print_scenario_created)
                event_processor.broadcast_on_scenario_created(callback=store_latest_scenario)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        === "With specific filters"

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui

            def cycle_filter(event: Event, gui: Gui):
                scenario = tp.get(event.entity_id)
                return scenario.cycle.name == "2023"

            def event_received(state, event: Event):
                scenario = tp.get(event.entity_id)
                cycle = scenario.cycle
                print(f"Received event for scenario '{scenario.name}' in cycle 'cycle.name'.")

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.broadcast_on_event(
                    callback=event_received,
                    entity_type=EventEntityType.SCENARIO,
                    filter=cycle_filter)
                event_processor.start()
                taipy.run(gui)
            ```

    Others methods such as `on_data_node_written()` or `on_submission_finished()` are
    utility methods as shortcuts to easily register callbacks for predefined topics and
    filters.
    """

    def __init__(self, gui: Optional[Gui] = None) -> None:
        """Initialize the Event Processor service.

        Arguments:
            gui (Gui): The Gui instance used to broadcast the callbacks to all states.
        """
        self._registration = _Registration()
        self._topic_callbacks_map: Dict[_Topic, List[_Callback]] = {}
        self._gui = gui
        self.event_processor: _AbstractEventProcessor = _EventProcessor()
        if EnterpriseEditionUtils._using_enterprise():
            self.event_processor = _load_fct(
                EnterpriseEditionUtils._TAIPY_ENTERPRISE_EVENT_PACKAGE + "._event_processor",
                "_AuthorizedEventProcessor",
            )()
        super().__init__(self._registration.registration_id, self._registration.queue)

    def on_event(
        self,
        callback: Callable,
        callback_args: Optional[List] = None,
        entity_type: Optional[EventEntityType] = None,
        entity_id: Optional[str] = None,
        operation: Optional[EventOperation] = None,
        attribute_name: Optional[str] = None,
        filter: Optional[Callable[[Event], bool]] = None,
    ) -> "EventProcessor":
        """Register a callback to be executed on a specific event.

        Arguments:
            callback (callable): The callback to be executed when the event is produced.
                The callback takes the event as the first argument and the GUI instance as
                the second argument.
                ```python
                def on_event_received(event: Event, gui: Gui):
                    ...
                ```
                Optionally, the callback can accept extra arguments (see the `callback_args`
                argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the event and the GUI.
            entity_type (Optional[EventEntityType]): The entity type of the event.
                If None, the callback is registered for all entity types.
            entity_id (Optional[str]): The entity id of the event.
                If None, the callback is registered for all entities.
            operation (Optional[EventOperation]): The operation of the event.
                If None, the callback is registered for all operations.
            attribute_name (Optional[str]): The attribute name of an update event.
                If None, the callback is registered for all attribute names.
            filter (Optional[Callable[[Event], bool]]): A custom filter to apply to
                the event before triggering the callback. The filter must accept an event
                as the only argument and return a boolean. If the filter returns False, the
                callback is not triggered.
        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_event(
            callback=callback,
            callback_args=callback_args,
            entity_type=entity_type,
            entity_id=entity_id,
            operation=operation,
            attribute_name=attribute_name,
            filter=filter,
            broadcast=False,
        )

    def broadcast_on_event(
        self,
        callback: Callable,
        callback_args: Optional[List] = None,
        entity_type: Optional[EventEntityType] = None,
        entity_id: Optional[str] = None,
        operation: Optional[EventOperation] = None,
        attribute_name: Optional[str] = None,
        filter: Optional[Callable[[Event], bool]] = None,
    ) -> "EventProcessor":
        """Register a callback to be broadcast to all states on a specific event.

                Arguments:
                    callback (callable): The callback to be executed for each state when the
                        event is produced. The callback takes the state as the first argument
                        and the event as the second argument.
                        ```python
                        def on_event_received(state, event: Event):
                            ...
                        ```
                        Optionally, the callback can accept extra arguments (see the `callback_args`
                        argument).
                    callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                        function in addition to the state and the event.
                    entity_type (Optional[EventEntityType]): The entity type of the event.
                        If None, the callback is registered for all entity types.
                    entity_id (Optional[str]): The entity id of the event.
                        If None, the callback is registered for all entities.
                    operation (Optional[EventOperation]): The operation of the event.
                        If None, the callback is registered for all operations.
                    attribute_name (Optional[str]): The attribute name of an update event.
                        If None, the callback is registered for all attribute names.
                    filter (Optional[Callable[[Event], bool]]): A custom filter to apply to
                        the event before triggering the callback. The filter must accept an event
                        as the only argument and return a boolean. If the filter returns False, the
                        callback is not triggered.
                Returns:
                    EventProcessor: The current instance of the `EventProcessor` service.
                """
        return self.__on_event(
            callback=callback,
            callback_args=callback_args,
            entity_type=entity_type,
            entity_id=entity_id,
            operation=operation,
            attribute_name=attribute_name,
            filter=filter,
            broadcast=True,
        )

    def __on_event(
        self,
        callback: Callable,
        callback_args: Optional[List] = None,
        entity_type: Optional[EventEntityType] = None,
        entity_id: Optional[str] = None,
        operation: Optional[EventOperation] = None,
        attribute_name: Optional[str] = None,
        filter: Optional[Callable[[Event], bool]] = None,
        broadcast: bool = False,
    ) -> "EventProcessor":
        topic = self.__build_topic(entity_type, entity_id, operation, attribute_name)
        cb = self.__build_callback(callback, callback_args, filter, broadcast)
        self.__register_callback(topic, cb)
        return self

    def on_scenario_created(self,
                            callback: Callable,
                            callback_args: Optional[List] = None,
                            scenario_config: Union[str, ScenarioConfig, List, None] = None,
                            ) -> "EventProcessor":
        """ Register a callback for scenario creation events.

        !!! example:

            === "A callback for all scenario creations"

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State

            def print_scenario_created(event: Event, scenario: Scenario, gui: Gui):
                print(f"Scenario '{scenario.name}' created at '{event.creation_date}'.")

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.on_scenario_created(callback=print_scenario_created)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

            === "One callback for a specific scenario configuration"

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui

            def print_scenario_created(event: Event, scenario: Scenario, gui: Gui):
                print(f"Scenario '{scenario.name}' created at '{event.creation_date}'.")

            if __name__ == "__main__":
                event_processor = EventProcessor()
                event_processor.on_scenario_created(callback=print_scenario_created, scenario_config="my_cfg")
                event_processor.start()
                ...
            ```

        Arguments:
            callback (callable):The callback to be executed when consuming the event.
                ```python
                def on_event_received(event: Event, scenario: Scenario, gui: Gui):
                    ...
                ```
                The callback is triggered when a scenario is created. It takes the event
                the scenario, and the GUI instance as arguments. It can also accept extra
                arguments (see the `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the event, the scenario and the GUI.
            scenario_config (Union[str, ScenarioConfig, List, None]): The
                optional scenario configuration ids or scenario configurations
                for which the callback is registered. If None, the callback is registered
                for all scenario configurations.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_scenario_created(
            callback=callback,
            callback_args=callback_args,
            scenario_config=scenario_config,
            broadcast=False,
        )

    def broadcast_on_scenario_created(self,
                                      callback: Callable,
                                      callback_args: Optional[List] = None,
                                      scenario_config: Union[str, ScenarioConfig, List, None] = None,
                                      ) -> "EventProcessor":
        """ Register a callback executed for all states on scenario creation events.

        !!! example:

                === "Two callbacks for all scenario creations"

                ```python
                import taipy as tp
                from taipy import Event, EventProcessor, Gui, State

                def store_latest_scenario(state: State, event: Event, scenario: Scenario):
                    print(f"Scenario '{scenario.name}' created at '{event.creation_date}'.")
                    state.latest_scenario = scenario

                if __name__ == "__main__":
                    gui = Gui()
                    event_processor = EventProcessor(gui)
                    event_processor.broadcast_on_scenario_created(callback=store_latest_scenario)
                    event_processor.start()
                    ...
                    taipy.run(gui)
                ```

                === "One callback for a specific scenario configuration"

                ```python
                import taipy as tp
                from taipy import Event, EventProcessor, Gui

                def scenario_created(state, event: Event, scenario: Scenario):
                    print(f"Scenario '{scenario.name}' created at '{event.creation_date}'.")
                    state.latest_scenario = scenario

                if __name__ == "__main__":
                    event_processor = EventProcessor()
                    event_processor.broadcast_on_scenario_created(callback=scenario_created, scenario_config="my_cfg")
                    event_processor.start()
                    ...
                ```

        Arguments:
            callback (callable):The callback to be executed for each state when
                a scenario creation event occurs.
                ```python
                def on_event_received(state: State, event: Event, scenario: Scenario):
                    ...
                ```
                The callback takes the state, the event, and the scenario as arguments.
                Optionally, the callback can accept extra arguments (see the
                `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the state, the event, and the scenario.
            scenario_config (Union[str, ScenarioConfig, List, None]): The
                optional scenario configuration ids or scenario configurations
                for which the callback is registered. If None, the callback is registered
                for all scenario configurations.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_scenario_created(
            callback=callback,
            callback_args=callback_args,
            scenario_config=scenario_config,
            broadcast=True,
        )

    def __on_scenario_created(self,
                              callback: Callable,
                              callback_args: Optional[List] = None,
                              scenario_config: Union[str, ScenarioConfig, List, None] = None,
                              broadcast: bool = False,
                              ) -> "EventProcessor":
        scenario_config = self.__format_configs_parameter(ScenarioConfig, scenario_config)

        def _filter(event: Event) -> bool:
            if not event.entity_id:
                return False
            import taipy as tp

            sc = tp.get(event.entity_id)
            if not isinstance(sc, Scenario):
                return False
            if scenario_config and sc.config_id not in scenario_config: # type: ignore[union-attr]
                return False
            event.metadata["predefined_args"] = [sc]
            return True

        self.__on_event(callback=callback,
                        callback_args=callback_args,
                        entity_type=EventEntityType.SCENARIO,
                        operation=EventOperation.CREATION,
                        filter=_filter,
                        broadcast=broadcast)
        return self

    def on_scenario_deleted(self,
                            callback: Callable,
                            callback_args: Optional[List] = None,
                            scenario_config: Union[str, ScenarioConfig, List, None] = None,
                            ) -> "EventProcessor":
        """ Register a callback for scenario deletion events.

        !!! example:

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State

            def print_scenario_deleted(event: Event, scenario_id: str, gui: Gui):
                print(f"A scenario has been deleted at '{event.creation_date}'.")

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.on_scenario_deleted(callback=print_scenario_)
                event_processor.on_scenario_deleted(callback=print_scenario_deleted)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        Arguments:
            callback (callable):The callback to be executed on scenario deletion event.
                ```python
                def on_event_received(event: Event, scenario_id: str, gui: Gui):
                    ...
                ```
                The callback takes the event, the scenario id, and the GUI instance as
                arguments. Optionally, it can also accept extra arguments (see the
                `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the event, the scenario id, and the GUI.
            scenario_config (Union[str, ScenarioConfig, List, None]): The
                optional scenario configuration ids or scenario configurations
                for which the callback is registered. If None, the callback is registered
                for all scenario configurations.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_scenario_deleted(
            callback=callback,
            callback_args=callback_args,
            scenario_config=scenario_config,
            broadcast=False,
        )

    def broadcast_on_scenario_deleted(self,
                                      callback: Callable,
                                      callback_args: Optional[List] = None,
                                      scenario_config: Union[str, ScenarioConfig, List, None] = None,
                                      ) -> "EventProcessor":
        """ Register a callback executed for all states on scenario deletion events.

        !!! example:

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State
            from taipy.gui import notify

            def on_scenario_deleted(state: State, event: Event, scenario_id: str):
                notify(state, f"A scenario has been deleted at '{event.creation_date}'.")

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.broadcast_on_scenario_deleted(callback=on_scenario_deleted)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        Arguments:
            callback (Callable):The callback to be executed for each state on scenario
                deletion event.
                ```python
                def on_event_received(state: State, event: Event, scenario_id: str):
                    ...
                ```
                The callback takes the state, the event, and the scenario id as arguments.
                Optionally, it can also accept extra arguments (see the `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the state, the event, and the scenario id.
            scenario_config (Union[str, ScenarioConfig, List, None]): The
                optional scenario configuration ids or scenario configurations
                for which the callback is registered. If None, the callback is registered
                for all scenario configurations.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_scenario_deleted(
            callback=callback,
            callback_args=callback_args,
            scenario_config=scenario_config,
            broadcast=True,
        )

    def __on_scenario_deleted(self,
                              callback: Callable,
                              callback_args: Optional[List] = None,
                              scenario_config: Union[str, ScenarioConfig, List, None] = None,
                              broadcast: bool = False
                              ) -> "EventProcessor":
        scenario_config = self.__format_configs_parameter(ScenarioConfig, scenario_config)

        def _filter(event: Event) -> bool:
            if not scenario_config:
                event.metadata["predefined_args"] = [event.entity_id]
                return True
            for cfg_id in scenario_config:
                if cfg_id in str(event.entity_id):
                    event.metadata["predefined_args"] = [event.entity_id]
                    return True
            return False

        self.__on_event(callback=callback,
                        callback_args=callback_args,
                        entity_type=EventEntityType.SCENARIO,
                        operation=EventOperation.DELETION,
                        filter=_filter,
                        broadcast=broadcast)
        return self

    def on_datanode_written(self,
                            callback: Callable,
                            callback_args: Optional[List] = None,
                            datanode_config: Union[str, DataNodeConfig, List, None] = None,
                            ) -> "EventProcessor":
        """ Register a callback for data node written events.

        The callback is triggered when a datanode is written (see methods
        `DataNode.write()^` or `DataNode.append()^`).

        !!! example:

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State

            def last_data_edition(event: Event, datanode: DataNode, data: Any, gui: Gui):
                print(f"Datanode written at '{event.creation_date}'.")
                state.last_data_edition.append[datanode.id]

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.on_datanode_written(callback=last_data_edition, broadcast=True)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        Arguments:
            callback (callable):The callback to be executed when consuming the event.
                ```python
                def on_event_received(event: Event,
                                      datanode: DataNode,
                                      data: Any,
                                      gui: Gui):
                    ...
                ```
                The callback takes the event, the datanode, the data, and the GUI instance as
                arguments. Optionally, the callback can accept extra arguments (see the
                `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the event, the datanode, the data, and the GUI.
            datanode_config (Union[str, DataNodeConfig, List, None]): The
                optional datanode configuration ids or datanode configurations
                for which the callback is registered. If None, the callback is registered
                for all datanode configurations.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_datanode_written(
            callback=callback,
            callback_args=callback_args,
            datanode_config=datanode_config,
            broadcast=False,
        )

    def broadcast_on_datanode_written(self,
                                      callback: Callable,
                                      callback_args: Optional[List] = None,
                                      datanode_config: Union[str, DataNodeConfig, List, None] = None,
                                      ) -> "EventProcessor":
        """ Register a callback for data node written events.

        The callback is triggered when a datanode is written (see methods
        `DataNode.write()^` or `DataNode.append()^`).

        !!! example:

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State

            def last_data_edition(state: State, event: Event, datanode: DataNode, data: Any):
                print(f"Datanode written at '{event.creation_date}'.")
                state.last_data_edition.append[datanode.id]

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.broadcast_on_datanode_written(callback=last_data_edition)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        Arguments:
            callback (callable): The callback to be executed for all states on data node
                written events.
                ```python
                def on_event_received(state: State, event: Event, datanode: DataNode, data: Any):
                    ...
                ```
                The callback takes the state, the event, the datanode, the data, and the GUI
                instance as arguments. Optionally, the callback can accept extra arguments
                (see the `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the state, the event, the datanode, and the data.
            datanode_config (Union[str, DataNodeConfig, List, None]): The
                optional datanode configuration ids or datanode configurations
                for which the callback is registered. If None, the callback is registered
                for all datanode configurations.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_datanode_written(
            callback=callback,
            callback_args=callback_args,
            datanode_config=datanode_config,
            broadcast=True,
        )

    def __on_datanode_written(self,
                              callback: Callable,
                              callback_args: Optional[List] = None,
                              datanode_config: Union[str, DataNodeConfig, List, None] = None,
                              broadcast: bool = False
                              ) -> "EventProcessor":
        datanode_config = self.__format_configs_parameter(DataNodeConfig, datanode_config)

        def _filter(event: Event) -> bool:
            if not event.entity_id:
                return False

            import taipy as tp

            dn = tp.get(event.entity_id)
            if not isinstance(dn, DataNode):
                return False
            if datanode_config and dn.config_id not in datanode_config:
                return False
            event.metadata["predefined_args"] = [dn, dn.read()]
            return True

        self.__on_event(callback=callback,
                        callback_args=callback_args,
                        entity_type=EventEntityType.DATA_NODE,
                        operation=EventOperation.UPDATE,
                        attribute_name="last_edit_date",
                        filter=_filter,
                        broadcast=broadcast)
        return self

    def on_datanode_deleted(self,
                            callback: Callable,
                            callback_args: Optional[List] = None,
                            datanode_config: Union[str, DataNodeConfig, List, None] = None,
                            ) -> "EventProcessor":
        """ Register a callback for data node deletion events.

        !!! example:

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State

            def on_deletions(event: Event, datanode_id: str, gui: Gui):
                print(f"Datanode deleted at '{event.creation_date}'.")

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.on_datanode_deleted(callback=record_deletions)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        Arguments:
            callback (callable):The callback to be executed when consuming the event.
                ```python
                def on_event_received(event: Event, datanode_id: str, gui: Gui):
                    ...
                ```
                The callback takes the event, the datanode id, and the GUI instance as
                arguments. Optionally, it can accept extra arguments (see the
                `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the event, the datanode id, and the GUI.
            datanode_config (Union[str, DataNodeConfig, List, None]): The
                optional datanode configuration ids or datanode configurations
                for which the callback is registered. If None, the callback is registered
                for all datanode configurations.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_datanode_deleted(
            callback=callback,
            callback_args=callback_args,
            datanode_config=datanode_config,
            broadcast=False,
        )

    def broadcast_on_datanode_deleted(self,
                                      callback: Callable,
                                      callback_args: Optional[List] = None,
                                      datanode_config: Union[str, DataNodeConfig, List, None] = None,
                                      ) -> "EventProcessor":
        """ Register a callback for each state on data node deletion events.

        !!! example:

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State

            def record_deletions(state: State, event: Event, datanode_id: str):
                print(f"Datanode deleted at '{event.creation_date}'.")
                state.deleted_datanodes.append[datanode_id]

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.broadcast_on_datanode_deleted(callback=record_deletions)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        Arguments:
            callback (callable): The callback to be executed for each state on data node
                deletion events.
                ```python
                def on_event_received(state: State, event: Event, datanode_id: str):
                    ...
                ```
                The callback takes the state, the event, the datanode id, and the GUI
                instance as arguments. Optionally, it can accept extra arguments (see the
                `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the state, the event, and the datanode id.
            datanode_config (Union[str, DataNodeConfig, List, None]): The
                optional datanode configuration ids or datanode configurations
                for which the callback is registered. If None, the callback is registered
                for all datanode configurations.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_datanode_deleted(
            callback=callback,
            callback_args=callback_args,
            datanode_config=datanode_config,
            broadcast=True,
        )

    def __on_datanode_deleted(self,
                              callback: Callable,
                              callback_args: Optional[List] = None,
                              datanode_config: Union[str, DataNodeConfig, List, None] = None,
                              broadcast: bool = False
                              ) -> "EventProcessor":
        datanode_config = self.__format_configs_parameter(DataNodeConfig, datanode_config)

        def _filter(event: Event) -> bool:
            if not datanode_config:
                event.metadata["predefined_args"] = [event.entity_id]
                return True
            for cfg_id in datanode_config:
                if cfg_id in str(event.entity_id):
                    event.metadata["predefined_args"] = [event.entity_id]
                    return True
            return False

        self.__on_event(callback=callback,
                        callback_args=callback_args,
                        entity_type=EventEntityType.DATA_NODE,
                        operation=EventOperation.DELETION,
                        filter=_filter,
                        broadcast=broadcast)
        return self

    def on_datanode_created(self,
                            callback: Callable,
                            callback_args: Optional[List] = None,
                            datanode_config: Union[str, DataNodeConfig, List, None] = None,
                            ) -> "EventProcessor":
        """ Register a callback to be executed on data node creation event.

        !!! example:

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State

            def on_datanode_creations(event: Event, datanode: DataNode, gui: Gui):
                print(f"Datanode created at '{event.creation_date}'.")

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.on_datanode_created(callback=record_creations)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        Arguments:
            callback (callable):The callback to be executed on data node creation events.
                ```python
                def on_event_received(event: Event, datanode: DataNode, gui: Gui):
                    ...
                ```
                The callback takes the event, the datanode, and the GUI instance as
                arguments. Optionally, the callback can accept extra arguments (see the
                `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the event, the datanode, and the GUI.
            datanode_config (Union[str, ScenarioConfig, List, None]): The
                optional datanode configuration ids or datanode configurations
                for which the callback is registered. If None, the callback is registered
                for all datanode configurations.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_datanode_created(
            callback=callback,
            callback_args=callback_args,
            datanode_config=datanode_config,
            broadcast=False,
        )

    def broadcast_on_datanode_created(self,
                                      callback: Callable,
                                      callback_args: Optional[List] = None,
                                      datanode_config: Union[str, DataNodeConfig, List, None] = None,
                                      ) -> "EventProcessor":
        """ Register a callback to be executed for each state on data node creation event.

        !!! example:

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State
            from taipy.gui import notify

            def on_datanode_creations(state: State, event: Event, datanode: DataNode):
                print(f"Datanode created at '{event.creation_date}'.")
                notify(state, f"Datanode '{datanode.id}' created.")

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.broadcast_on_datanode_created(callback=record_creations)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        Arguments:
            callback (callable):The callback to be executed on data node creation events.
                ```python
                def on_event_received(state: State, event: Event, datanode: DataNode):
                    ...
                ```
                The callback takes the state, the event, the datanode as arguments.
                Optionally, the callback can accept extra arguments (see the
                `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the state, the event, and the datanode.
            datanode_config (Union[str, ScenarioConfig, List, None]): The
                optional datanode configuration ids or datanode configurations
                for which the callback is registered. If None, the callback is registered
                for all datanode configurations.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_datanode_created(
            callback=callback,
            callback_args=callback_args,
            datanode_config=datanode_config,
            broadcast=True,
        )

    def __on_datanode_created(self,
                              callback: Callable,
                              callback_args: Optional[List] = None,
                              datanode_config: Union[str, DataNodeConfig, List, None] = None,
                              broadcast: bool = False
                              ) -> "EventProcessor":
        datanode_config = self.__format_configs_parameter(DataNodeConfig, datanode_config)

        def _filter(event: Event) -> bool:
            if not event.entity_id:
                return False
            import taipy as tp

            dn = tp.get(event.entity_id)
            if not isinstance(dn, DataNode):
                return False
            if datanode_config and dn.config_id not in datanode_config:
                return False
            event.metadata["predefined_args"] = [dn]
            return True

        self.__on_event(callback=callback,
                        callback_args=callback_args,
                        entity_type=EventEntityType.DATA_NODE,
                        operation=EventOperation.CREATION,
                        filter=_filter,
                        broadcast=broadcast)
        return self

    def on_submission_finished(self,
                               callback: Callable,
                               callback_args: Optional[List] = None,
                               config_ids: Union[str, ScenarioConfig, TaskConfig, List, None] = None,
                               ) -> "EventProcessor":
        """Register a callback for submission finished events.

        !!! example:

            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State

            def record_submissions(event: Event, submittable: Submittable, submission: Submission, gui: Gui):
                if submission.submission_status == SubmissionStatus.COMPLETED:
                    print(f"Submission completed at '{event.creation_date}'. Status: '{submission.submission_status}'")
                elif submission.submission_status == SubmissionStatus.FAILED:
                    print(f"Submission failed at '{event.creation_date}'. Status: '{submission.submission_status}'")

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.on_submission_finished(callback=record_submissions)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        Arguments:
            callback (callable): The callback to be executed on submission finished
                events.
                ```python
                def on_event_received(event: Event, submittable: Submittable, submission: Submission, gui: Gui):
                    ...
                ```
                The callback takes the event, the submittable (scenario, sequence or task),
                the submission, and the GUI instance as arguments. Optionally, the
                callback can accept extra arguments (see the `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the event, the submittable, the submission, and the GUI.
            config_ids (Union[str, ScenarioConfig, TaskConfig, List, None]): The
                optional scenario configuration ids or task configuration ids or scenario
                configurations or task configurations for which the callback is registered.
                If None, the callback is registered for any submittable.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_submission_finished(
            callback=callback,
            callback_args=callback_args,
            config_ids=config_ids,
            broadcast=False,
        )

    def broadcast_on_submission_finished(self,
                                         callback: Callable,
                                         callback_args: Optional[List] = None,
                                         config_ids: Union[str, ScenarioConfig, TaskConfig, List, None] = None,
                                         ) -> "EventProcessor":
        """Register a callback to be executed for each state on submission finished events.

        !!! example
:
            ```python
            import taipy as tp
            from taipy import Event, EventProcessor, Gui, State

            def record_submissions(state: State, event: Event, submittable: Submittable, submission: Submission):
                print(f"Submission finished at '{event.creation_date}'. Status: '{submission.submission_status}'")
                if submission.submission_status == SubmissionStatus.COMPLETED:
                    state.completed.append[submittable.id]
                elif submission.submission_status == SubmissionStatus.FAILED:
                    state.failed.append[submittable.id]

            if __name__ == "__main__":
                gui = Gui()
                event_processor = EventProcessor(gui)
                event_processor.on_submission_finished(callback=record_submissions, broadcast=True)
                event_processor.start()
                ...
                taipy.run(gui)
            ```

        Arguments:
            callback (callable): The callback to be executed for each state on submission
                finished events.
                ```python
                def on_event_received(state: State, event: Event, submittable: Submittable, submission: Submission):
                    ...
                ```
                The callback takes the state, the event, the submittable (scenario, sequence
                or task), and the submission. Optionally, the callback can accept extra
                arguments (see the `callback_args` argument).
            callback_args (List[AnyOf]): The extra arguments to be passed to the callback
                function in addition to the state, the event, the submittable, and the
                submission.
            config_ids (Union[str, ScenarioConfig, TaskConfig, List, None]): The
                optional scenario configuration ids or task configuration ids or scenario
                configurations or task configurations for which the callback is registered.
                If None, the callback is registered for any submittable.

        Returns:
            EventProcessor: The current instance of the `EventProcessor` service.
        """
        return self.__on_submission_finished(
            callback=callback,
            callback_args=callback_args,
            config_ids=config_ids,
            broadcast=True,
        )

    def __on_submission_finished(self,
                                 callback: Callable,
                                 callback_args: Optional[List] = None,
                                 config_ids: Union[str, ScenarioConfig, TaskConfig, List, None] = None,
                                 broadcast: bool = False
                                 ) -> "EventProcessor":
        if isinstance(config_ids, str):
            config_ids = [config_ids]
        if isinstance(config_ids, TaskConfig):
            config_ids = [config_ids.id]
        if isinstance(config_ids, ScenarioConfig):
            config_ids = [config_ids.id]
        if isinstance(config_ids, list):
            res = []
            for cfg in config_ids:
                if isinstance(cfg, TaskConfig):
                    res.append(cfg.id)
                elif isinstance(cfg, ScenarioConfig):
                    res.append(cfg.id)
                else:
                    res.append(cfg)
            config_ids = res

        def _filter(event: Event) -> bool:
            finished_statuses = {SubmissionStatus.COMPLETED, SubmissionStatus.FAILED, SubmissionStatus.CANCELED}
            if not event.entity_id or not event.attribute_value or event.attribute_value not in finished_statuses:
                return False
            import taipy as tp

            submission = tp.get(event.entity_id)
            if not isinstance(submission, Submission):
                return False
            if config_ids:
                # We are filtering on a specific config
                if not submission.entity_config_id:
                    # It is a submission for a sequence that does not have configs
                    return False
                if submission.entity_config_id not in config_ids:
                    # It is a submission for a config that is not in the list
                    return False

            submittable = tp.get(submission.entity_id) # type: ignore[arg-type]
            event.metadata["predefined_args"] = [submittable, submission]
            return True

        self.__on_event(callback=callback,
                        callback_args=callback_args,
                        entity_type=EventEntityType.SUBMISSION,
                        operation=EventOperation.UPDATE,
                        attribute_name="submission_status",
                        filter=_filter,
                        broadcast=broadcast)
        return self

    def process_event(self, event: Event) -> None:
        """Process an event.

        This method is responsible for processing the incoming event.

        Args:
            event (Event): The event to be processed.
        """
        self.event_processor.process_event(self, event)

    def start(self):
        """Start the event processor thread."""
        Notifier._register_from_registration(self._registration)
        super().start()

    def stop(self):
        """Stop the event processor thread."""
        super().stop()
        Notifier.unregister(self._registration.registration_id)

    @staticmethod
    def __format_configs_parameter(clazz, parameter) -> List[str]:
        if isinstance(parameter, str):
            parameter = [parameter]
        if isinstance(parameter, clazz):
            parameter = [parameter.id]  # type: ignore[attr-defined]
        if isinstance(parameter, list):
            parameter = [cfg.id if isinstance(cfg, clazz) else cfg for cfg in parameter]  # type: ignore[attr-defined]
        return parameter

    def __build_topic(self, entity_type, entity_id, operation, attribute_name):
        topic = _Topic(entity_type, entity_id, operation, attribute_name)
        self._registration.add_topic(
            entity_type=topic.entity_type,
            entity_id=topic.entity_id,
            operation=topic.operation,
            attribute_name=topic.attribute_name
        )
        return topic

    def __build_callback(self, callback, callback_args, filter, broadcast):
        if broadcast and self._gui is None:
            _TaipyLogger._get_logger().error(
                "A callback is set to be broadcast to all states of "
                "the GUI but no GUI is provided to the event processor."
            )
            raise NoGuiDefinedInEventProcessor()
        if callback_args is None:
            callback_args = []
        cb = _Callback(callback, args=callback_args, broadcast=broadcast, filter=filter)
        return cb

    def __register_callback(self, topic, cb):
        if self._topic_callbacks_map.get(topic) is None:
            self._topic_callbacks_map[topic] = []
        self._topic_callbacks_map[topic].append(cb)

    def _process_event(self, event: Event) -> None:
        for topic, cbs in self._topic_callbacks_map.items():
            if Notifier._is_matching(event, topic):
                for cb in cbs:
                    if not cb.filter or cb.filter(event):
                        self.__do_process(cb, event)

    def __do_process(self, cb, event: Event) -> None:
        predefined_args = event.metadata.pop("predefined_args", [])
        if cb.broadcast:
            if not self._gui:
                _TaipyLogger._get_logger().error(
                    "A callback is set to be broadcast to all states of "
                    "the GUI but no GUI is provided to the event processor."
                )
                return
            self._gui.broadcast_callback(cb.callback, [event, *predefined_args, *cb.args])
        else:
            cb.callback(event, *predefined_args, self._gui, *cb.args)