Skip to content

tanjun.context#

Standard implementations of Tanjun's context classes.

tanjun.context.autocomplete #

Autocomplete context implementation.

AutocompleteContext #

Bases: BasicContext, AutocompleteContext

Standard implementation of an autocomplete context.

__init__ #

__init__(client, interaction, *, future=None)

Initialise an autocomplete context.

Parameters:

tanjun.context.menu #

Menu context implementation.

MenuContext #

Bases: AppCommandContext, MenuContext

Standard menu command execution context.

__init__ #

__init__(client, interaction, register_task, *, default_to_ephemeral=False, future=None, on_not_found=None)

Initialise a menu command context.

Parameters:

  • client (Client) –

    The Tanjun client this context is bound to.

  • interaction (CommandInteraction) –

    The command interaction this context is for.

  • register_task (Callable[[Task[Any]], None]) –

    Callback used to register long-running tasks spawned by this context.

  • future (Optional[Future[_ResponseTypeT]], default: None ) –

    A future used to set the initial response if this is being called through the REST webhook flow.

  • default_to_ephemeral (bool, default: False ) –

    Whether to default to ephemeral responses.

  • on_not_found (Optional[Callable[[MenuContext], Awaitable[None]]], default: None ) –

    Callback used to indicate no matching command was found.

cancel_defer #

cancel_defer()

Cancel the auto-deferral if its active.

finalise #

finalise()

Finalise the context, dis-allowing any further modifications.

Returns:

  • Self –

    The context itself to enable chained calls.

start_defer_timer #

start_defer_timer(count_down)

Start the auto-deferral timer.

Parameters:

  • count_down (Union[int, float]) –

    The number of seconds to wait before automatically deferring the interaction.

Returns:

  • Self –

    This context to allow for chaining.

tanjun.context.message #

Message command implementation.

MessageContext #

Bases: BaseContext, MessageContext

Standard implementation of a command context as used within Tanjun.

__init__ #

__init__(client, content, message, register_task, *, triggering_name='', triggering_prefix='')

Initialise a message command context.

Parameters:

  • client (Client) –

    The client to use for sending messages.

  • content (str) –

    The content of the message (minus any matched prefix and name).

  • message (Message) –

    The message that triggered the command.

  • register_task (Callable[[Task[Any]], None]) –

    Callback used to register long-running tasks spawned by this context.

  • triggering_name (str, default: '' ) –

    The name of the command that triggered this context.

  • triggering_prefix (str, default: '' ) –

    The prefix that triggered this context.

finalise #

finalise()

Finalise the context, dis-allowing any further modifications.

Returns:

  • Self –

    The context itself to enable chained calls.

set_triggering_prefix #

set_triggering_prefix(triggering_prefix)

Set the triggering prefix for this context.

Parameters:

  • triggering_prefix (str) –

    The triggering prefix to set.

Returns:

  • Self –

    This context to allow for chaining.

tanjun.context.slash #

Slash command implementation.

AppCommandContext #

Bases: BaseContext, AppCommandContext

Base class for interaction-based command contexts.

command abstractmethod property #

command

Object of the command this context is bound to.

Note

This will only be None before this has been bound to a specific command but never during command execution.

triggering_name abstractmethod property #

triggering_name

Command name this execution was triggered with.

type abstractmethod property #

type

Type of application command this context is for.

cancel_defer #

cancel_defer()

Cancel the auto-deferral if its active.

finalise #

finalise()

Finalise the context, dis-allowing any further modifications.

Returns:

  • Self –

    The context itself to enable chained calls.

mark_not_found abstractmethod async #

mark_not_found()

Mark this context as not found.

Dependent on how the client is configured this may lead to a not found response message being sent.

start_defer_timer #

start_defer_timer(count_down)

Start the auto-deferral timer.

Parameters:

  • count_down (Union[int, float]) –

    The number of seconds to wait before automatically deferring the interaction.

Returns:

  • Self –

    This context to allow for chaining.

SlashContext #

Bases: AppCommandContext, SlashContext

Standard implementation of tanjun.abc.SlashContext.

__init__ #

__init__(client, interaction, register_task, *, default_to_ephemeral=False, future=None, on_not_found=None)

Initialise a slash command context.

Parameters:

  • client (Client) –

    The Tanjun client this context is bound to.

  • interaction (CommandInteraction) –

    The command interaction this context is for.

  • register_task (Callable[[Task[Any]], None]) –

    Callback used to register long-running tasks spawned by this context.

  • default_to_ephemeral (bool, default: False ) –

    Whether to default to ephemeral responses.

  • future (Optional[Future[_ResponseTypeT]], default: None ) –

    A future used to set the initial response if this is being called through the REST webhook flow.

  • on_not_found (Optional[Callable[[SlashContext], Awaitable[None]]], default: None ) –

    Callback used to indicate no matching command was found.

cancel_defer #

cancel_defer()

Cancel the auto-deferral if its active.

finalise #

finalise()

Finalise the context, dis-allowing any further modifications.

Returns:

  • Self –

    The context itself to enable chained calls.

start_defer_timer #

start_defer_timer(count_down)

Start the auto-deferral timer.

Parameters:

  • count_down (Union[int, float]) –

    The number of seconds to wait before automatically deferring the interaction.

Returns:

  • Self –

    This context to allow for chaining.

SlashOption #

Bases: SlashOption

Standard implementation of the SlashOption interface.

__init__ #

__init__(resolved, option)

Initialise a slash option.

Parameters: