Source code for hikari.impl.bot

# -*- coding: utf-8 -*-
# cython: language_level=3
# Copyright (c) 2020 Nekokatt
# Copyright (c) 2021-present davfsa
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
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# furnished to do so, subject to the following conditions:
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# SOFTWARE.
"""Basic implementation the components for a single-process bot."""

from __future__ import annotations

__all__: typing.Sequence[str] = ("GatewayBot",)

import asyncio
import datetime
import logging
import math
import sys
import types
import typing
import warnings

from hikari import applications
from hikari import errors
from hikari import intents as intents_
from hikari import presences
from hikari import snowflakes
from hikari import traits
from hikari import undefined
from hikari.impl import cache as cache_impl
from hikari.impl import config as config_impl
from hikari.impl import entity_factory as entity_factory_impl
from hikari.impl import event_factory as event_factory_impl
from hikari.impl import event_manager as event_manager_impl
from hikari.impl import rest as rest_impl
from hikari.impl import shard as shard_impl
from hikari.impl import voice as voice_impl
from hikari.internal import aio
from hikari.internal import data_binding
from hikari.internal import signals
from hikari.internal import time
from hikari.internal import ux

if typing.TYPE_CHECKING:
    import concurrent.futures
    import os

    from hikari import channels
    from hikari import guilds
    from hikari import users as users_
    from hikari.api import cache as cache_
    from hikari.api import entity_factory as entity_factory_
    from hikari.api import event_factory as event_factory_
    from hikari.api import event_manager as event_manager_
    from hikari.api import rest as rest_
    from hikari.api import shard as gateway_shard
    from hikari.api import voice as voice_
    from hikari.events import base_events

_LOGGER: typing.Final[logging.Logger] = logging.getLogger("hikari.bot")


def _validate_activity(activity: undefined.UndefinedNoneOr[presences.Activity]) -> None:
    # This seems to cause confusion for a lot of people, so lets add some warnings into the mix.

    if activity is undefined.UNDEFINED or activity is None:
        return

    # If you ever change where this is called from, make sure to check the stacklevels are correct
    # or the code preview in the warning will be wrong...
    if activity.type is presences.ActivityType.CUSTOM:
        warnings.warn(
            "The CUSTOM activity type is not supported by bots at the time of writing, and may therefore not have "
            "any effect if used.",
            category=errors.HikariWarning,
            stacklevel=3,
        )
    elif activity.type is presences.ActivityType.STREAMING and activity.url is None:
        warnings.warn(
            "The STREAMING activity type requires a 'url' parameter pointing to a valid Twitch or YouTube video "
            "URL to be specified on the activity for the presence update to have any effect.",
            category=errors.HikariWarning,
            stacklevel=3,
        )


async def _close_resource(name: str, awaitable: typing.Awaitable[typing.Any]) -> None:
    future = asyncio.ensure_future(awaitable)

    try:
        await future
    except Exception as ex:
        asyncio.get_running_loop().call_exception_handler(
            {
                "message": f"{name} raised an exception during shut down",
                "future": future,
                "exception": ex,
            }
        )


[docs]class GatewayBot(traits.GatewayBotAware): """Basic auto-sharding bot implementation. This is the class you will want to use to start, control, and build a bot with. .. note:: Settings that control the gateway session are provided to the `GatewayBot.run` and `GatewayBot.start` functions in this class. This is done to allow you to contextually customise details such as sharding configuration without having to re-initialize the entire application each time. Parameters ---------- token : str The bot token to sign in with. Other Parameters ---------------- allow_color : bool Defaulting to `True`, this will enable coloured console logs on any platform that is a TTY. Setting a `"CLICOLOR"` environment variable to any **non `0`** value will override this setting. Users should consider this an advice to the application on whether it is safe to show colours if possible or not. Since some terminals can be awkward or not support features in a standard way, the option to explicitly disable this is provided. See `force_color` for an alternative. banner : typing.Optional[str] The package to search for a `banner.txt` in. Defaults to `"hikari"` for the `"hikari/banner.txt"` banner. Setting this to `None` will disable the banner being shown. suppress_optimization_warning : bool Defaults to `False`. By default, Hikari warns you if you are not running your bot using optimizations (`-O` or `-OO`). If this is `True`, you won't receive these warnings, even if you are not running using optimizations. executor : typing.Optional[concurrent.futures.Executor] Defaults to `None`. If non-`None`, then this executor is used instead of the `concurrent.futures.ThreadPoolExecutor` attached to the `asyncio.AbstractEventLoop` that the bot will run on. This executor is used primarily for file-IO. While mainly supporting the `concurrent.futures.ThreadPoolExecutor` implementation in the standard lib, Hikari's file handling systems should also work with `concurrent.futures.ProcessPoolExecutor`, which relies on all objects used in IPC to be pickleable. Many third-party libraries will not support this fully though, so your mileage may vary on using ProcessPoolExecutor implementations with this parameter. force_color : bool Defaults to `False`. If `True`, then this application will __force__ colour to be used in console-based output. Specifying a `"CLICOLOR_FORCE"` environment variable with a non-`"0"` value will override this setting. This will take precedence over `allow_color` if both are specified. cache_settings : typing.Optional[hikari.impl.config.CacheSettings] Optional cache settings. If unspecified, will use the defaults. http_settings : typing.Optional[hikari.impl.config.HTTPSettings] Optional custom HTTP configuration settings to use. Allows you to customise functionality such as whether SSL-verification is enabled, what timeouts `aiohttp` should expect to use for requests, and behavior regarding HTTP-redirects. intents : hikari.intents.Intents Defaults to `hikari.intents.Intents.ALL_UNPRIVILEGED`. This allows you to change which intents your application will use on the gateway. This can be used to control and change the types of events you will receive. auto_chunk_members : bool Defaults to `True`. If `False`, then no member chunks will be requested automatically, even if there are reasons to do so. All following statements must be true to automatically request chunks: 1. `auto_chunk_members` is `True`. 2. The members intent is enabled. 3. The server is marked as "large" or the presences intent is not enabled (since Discord only sends other members when presences are declared, we should also chunk small guilds if the presences are not declared). 4. The members cache is enabled or there are listeners for the `MemberChunkEvent`. logs : typing.Union[None, str, int, typing.Dict[str, typing.Any], os.PathLike] The flavour to set the logging to. This can be `None` to not enable logging automatically. If you pass a `str` or a `int`, it is interpreted as the global logging level to use, and should match one of `"DEBUG"`, `"INFO"`, `"WARNING"`, `"ERROR"` or `"CRITICAL"`. The configuration will be set up to use a `colorlog` coloured logger, and to use a sane logging format strategy. The output will be written to `sys.stdout` using this configuration. If you pass a `dict`, it is treated as the mapping to pass to `logging.config.dictConfig`. If the dict defines any handlers, default handlers will not be setup if `incremental` is not specified. If you pass a `str` to an existing file or a `os.PathLike`, it is interpreted as the file to load config from using `logging.config.fileConfig`. Note that `"TRACE_HIKARI"` is a library-specific logging level which is expected to be more verbose than `"DEBUG"`. Defaults to `"INFO"`. max_rate_limit : float The max number of seconds to backoff for when rate limited. Anything greater than this will instead raise an error. This defaults to five minutes if left to the default value. This is to stop potentially indefinitely waiting on an endpoint, which is almost never what you want to do if giving a response to a user. You can set this to `float("inf")` to disable this check entirely. Note that this only applies to the REST API component that communicates with Discord, and will not affect sharding or third party HTTP endpoints that may be in use. max_retries : typing.Optional[int] Maximum number of times a request will be retried if it fails with a `5xx` status. Defaults to 3 if set to `None`. proxy_settings : typing.Optional[hikari.impl.config.ProxySettings] Custom proxy settings to use with network-layer logic in your application to get through an HTTP-proxy. dumps : hikari.internal.data_binding.JSONEncoder The JSON encoder this application should use. Defaults to `hikari.internal.data_binding.default_json_dumps`. loads : hikari.internal.data_binding.JSONDecoder The JSON decoder this application should use. Defaults to `hikari.internal.data_binding.default_json_loads`. rest_url : typing.Optional[str] Defaults to the Discord REST API URL if `None`. Can be overridden if you are attempting to point to an unofficial endpoint, or if you are attempting to mock/stub the Discord API for any reason. Generally you do not want to change this. Examples -------- Simple logging setup: .. code-block:: python hikari.GatewayBot("TOKEN", logs="INFO") # Registered logging level # or hikari.GatewayBot("TOKEN", logs=20) # Logging level as an int File config: .. code-block:: python # See https://docs.python.org/3/library/logging.config.html#configuration-file-format for more info hikari.GatewayBot("TOKEN", logs="path/to/file.ini") Setting up logging through a dict config: .. code-block:: python # See https://docs.python.org/3/library/logging.config.html#dictionary-schema-details for more info hikari.GatewayBot( "TOKEN", logs={ "version": 1, "incremental": True, # In incremental setups, the default stream handler will be setup "loggers": { "hikari.gateway": {"level": "DEBUG"}, "hikari.ratelimits": {"level": "TRACE_HIKARI"}, }, } ) """
[docs] shards: typing.Mapping[int, gateway_shard.GatewayShard]
"""Mapping of shards in this application instance. Each shard ID is mapped to the corresponding shard instance. If the application has not started, it is acceptable to assume the result of this call will be an empty mapping. """ __slots__: typing.Sequence[str] = ( "_cache", "_closing_event", "_closed_event", "_entity_factory", "_event_manager", "_event_factory", "_executor", "_http_settings", "_intents", "_proxy_settings", "_rest", "_shards", "_token", "_voice", "_loads", "_dumps", "shards", ) def __init__( self, token: str, *, allow_color: bool = True, banner: typing.Optional[str] = "hikari", suppress_optimization_warning: bool = False, executor: typing.Optional[concurrent.futures.Executor] = None, force_color: bool = False, cache_settings: typing.Optional[config_impl.CacheSettings] = None, http_settings: typing.Optional[config_impl.HTTPSettings] = None, dumps: data_binding.JSONEncoder = data_binding.default_json_dumps, loads: data_binding.JSONDecoder = data_binding.default_json_loads, intents: intents_.Intents = intents_.Intents.ALL_UNPRIVILEGED, auto_chunk_members: bool = True, logs: typing.Union[None, str, int, typing.Dict[str, typing.Any], os.PathLike[str]] = "INFO", max_rate_limit: float = 300.0, max_retries: int = 3, proxy_settings: typing.Optional[config_impl.ProxySettings] = None, rest_url: typing.Optional[str] = None, ) -> None: # Beautification and logging ux.init_logging(logs, allow_color, force_color) self.print_banner(banner, allow_color, force_color) ux.warn_if_not_optimized(suppress_optimization_warning) # Settings and state self._closed_event: typing.Optional[asyncio.Event] = None self._closing_event: typing.Optional[asyncio.Event] = None self._executor = executor self._http_settings = http_settings if http_settings is not None else config_impl.HTTPSettings() self._intents = intents self._proxy_settings = proxy_settings if proxy_settings is not None else config_impl.ProxySettings() self._token = token.strip() self._dumps = dumps self._loads = loads # Caching cache_settings = cache_settings if cache_settings is not None else config_impl.CacheSettings() self._cache = cache_impl.CacheImpl(self, cache_settings) # Entity creation self._entity_factory = entity_factory_impl.EntityFactoryImpl(self) # Event creation self._event_factory = event_factory_impl.EventFactoryImpl(self) # Event handling self._event_manager = event_manager_impl.EventManagerImpl( self._entity_factory, self._event_factory, self._intents, auto_chunk_members=auto_chunk_members, cache=self._cache, ) # Voice subsystem self._voice = voice_impl.VoiceComponentImpl(self) # RESTful API. self._rest = rest_impl.RESTClientImpl( cache=self._cache, entity_factory=self._entity_factory, executor=self._executor, http_settings=self._http_settings, max_rate_limit=max_rate_limit, proxy_settings=self._proxy_settings, dumps=dumps, loads=loads, rest_url=rest_url, max_retries=max_retries, token=token, token_type=applications.TokenType.BOT, ) # We populate these on startup instead, as we need to possibly make some # HTTP requests to determine what to put in this mapping. self._shards: typing.Dict[int, gateway_shard.GatewayShard] = {} self.shards = types.MappingProxyType(self._shards) @property def cache(self) -> cache_.Cache: return self._cache @property def event_manager(self) -> event_manager_.EventManager: return self._event_manager @property def entity_factory(self) -> entity_factory_.EntityFactory: return self._entity_factory @property def event_factory(self) -> event_factory_.EventFactory: return self._event_factory @property def executor(self) -> typing.Optional[concurrent.futures.Executor]: return self._executor @property def heartbeat_latencies(self) -> typing.Mapping[int, float]: return {s.id: s.heartbeat_latency for s in self._shards.values()} @property def heartbeat_latency(self) -> float: latencies = [s.heartbeat_latency for s in self._shards.values() if not math.isnan(s.heartbeat_latency)] return sum(latencies) / len(latencies) if latencies else float("nan") @property def http_settings(self) -> config_impl.HTTPSettings: return self._http_settings @property def intents(self) -> intents_.Intents: return self._intents @property def proxy_settings(self) -> config_impl.ProxySettings: return self._proxy_settings @property def shard_count(self) -> int: return next(iter(self._shards.values())).shard_count if self._shards else 0 @property def voice(self) -> voice_.VoiceComponent: return self._voice @property def rest(self) -> rest_.RESTClient: return self._rest @property def is_alive(self) -> bool: return self._closed_event is not None def _check_if_alive(self) -> None: if not self._closed_event: raise errors.ComponentStateConflictError("bot is not running so it cannot be interacted with") def get_me(self) -> typing.Optional[users_.OwnUser]: return self._cache.get_me() async def close(self) -> None: if not self._closed_event or not self._closing_event: raise errors.ComponentStateConflictError("Cannot close an inactive bot") if self._closing_event.is_set(): await self.join() return _LOGGER.info("bot requested to shut down") self._closing_event.set() await self._event_manager.dispatch(self._event_factory.deserialize_stopping_event()) _LOGGER.log(ux.TRACE, "StoppingEvent dispatch completed, now beginning termination") await _close_resource("voice handler", self._voice.close()) shards = tuple(_close_resource(f"shard {s.id}", s.close()) for s in self._shards.values() if s.is_alive) for coro in asyncio.as_completed(shards): await coro await _close_resource("rest", self._rest.close()) # Clear out cache and shard map self._cache.clear() self._shards.clear() await self._event_manager.dispatch(self._event_factory.deserialize_stopped_event()) self._closed_event.set() self._closed_event = None self._closing_event = None _LOGGER.info("bot shut down successfully")
[docs] def dispatch(self, event: base_events.Event) -> asyncio.Future[typing.Any]: """Dispatch an event. Parameters ---------- event : hikari.events.base_events.Event The event to dispatch. Examples -------- We can dispatch custom events by first defining a class that derives from `hikari.events.base_events.Event`. .. code-block:: python import attr from hikari.traits import RESTAware from hikari.events.base_events import Event from hikari.users import User from hikari.snowflakes import Snowflake @attr.define() class EveryoneMentionedEvent(Event): app: RESTAware = attr.field() author: User = attr.field() '''The user who mentioned everyone.''' content: str = attr.field() '''The message that was sent.''' message_id: Snowflake = attr.field() '''The message ID.''' channel_id: Snowflake = attr.field() '''The channel ID.''' We can then dispatch our event as we see fit. .. code-block:: python from hikari.events.messages import MessageCreateEvent @bot.listen(MessageCreateEvent) async def on_message(event): if "@everyone" in event.content or "@here" in event.content: event = EveryoneMentionedEvent( author=event.author, content=event.content, message_id=event.id, channel_id=event.channel_id, ) bot.dispatch(event) This event can be listened to elsewhere by subscribing to it with `hikari.impl.event_manager_base.EventManager.subscribe`. .. code-block:: python @bot.listen(EveryoneMentionedEvent) async def on_everyone_mentioned(event): print(event.user, "just pinged everyone in", event.channel_id) Returns ------- asyncio.Future[typing.Any] A future that can be optionally awaited. If awaited, the future will complete once all corresponding event listeners have been invoked. If not awaited, this will schedule the dispatch of the events in the background for later. See Also -------- Listen : `hikari.impl.bot.GatewayBot.listen`. Stream : `hikari.impl.bot.GatewayBot.stream`. Subscribe : `hikari.impl.bot.GatewayBot.subscribe`. Unsubscribe : `hikari.impl.bot.GatewayBot.unsubscribe`. Wait_for : `hikari.impl.bot.GatewayBot.wait_for`. """ return self._event_manager.dispatch(event)
[docs] def get_listeners( self, event_type: typing.Type[base_events.EventT], /, *, polymorphic: bool = True ) -> typing.Collection[event_manager_.CallbackT[base_events.EventT]]: """Get the listeners for a given event type, if there are any. Parameters ---------- event_type : typing.Type[EventT] The event type to look for. `EventT` must be a subclass of `hikari.events.base_events.Event`. polymorphic : bool If `True`, this will also return the listeners of the subclasses of the given event type. If `False`, then only listeners for this class specifically are returned. The default is `True`. Returns ------- typing.Collection[typing.Callable[[EventT], typing.Coroutine[typing.Any, typing.Any, None]]] A copy of the collection of listeners for the event. Will return an empty collection if nothing is registered. """ return self._event_manager.get_listeners(event_type, polymorphic=polymorphic)
async def join(self) -> None: if not self._closed_event: raise errors.ComponentStateConflictError("Cannot wait for an inactive bot to join") await aio.first_completed(self._closed_event.wait(), *(s.join() for s in self._shards.values()))
[docs] def listen( self, *event_types: typing.Type[base_events.EventT], ) -> typing.Callable[[event_manager_.CallbackT[base_events.EventT]], event_manager_.CallbackT[base_events.EventT]]: """Generate a decorator to subscribe a callback to an event type. This is a second-order decorator. Parameters ---------- *event_types : typing.Optional[typing.Type[EventT]] The event types to subscribe to. The implementation may allow this to be undefined. If this is the case, the event type will be inferred instead from the type hints on the function signature. `EventT` must be a subclass of `hikari.events.base_events.Event`. Returns ------- typing.Callable[[EventT], EventT] A decorator for a coroutine function that passes it to `EventManager.subscribe` before returning the function reference. See Also -------- Dispatch : `hikari.impl.bot.GatewayBot.dispatch`. Stream : `hikari.impl.bot.GatewayBot.stream`. Subscribe : `hikari.impl.bot.GatewayBot.subscribe`. Unsubscribe : `hikari.impl.bot.GatewayBot.unsubscribe`. Wait_for : `hikari.impl.bot.GatewayBot.wait_for`. """ return self._event_manager.listen(*event_types)
@staticmethod
[docs] def print_banner( banner: typing.Optional[str], allow_color: bool, force_color: bool, extra_args: typing.Optional[typing.Dict[str, str]] = None, ) -> None: """Print the banner. This allows library vendors to override this behaviour, or choose to inject their own "branding" on top of what hikari provides by default. Normal users should not need to invoke this function, and can simply change the `banner` argument passed to the constructor to manipulate what is displayed. Parameters ---------- banner : typing.Optional[str] The package to find a `banner.txt` in. allow_color : bool A flag that allows advising whether to allow color if supported or not. Can be overridden by setting a `"CLICOLOR"` environment variable to a non-`"0"` string. force_color : bool A flag that allows forcing color to always be output, even if the terminal device may not support it. Setting the `"CLICOLOR_FORCE"` environment variable to a non-`"0"` string will override this. This will take precedence over `allow_color` if both are specified. extra_args : typing.Optional[typing.Dict[str, str]] If provided, extra $-substitutions to use when printing the banner. Default substitutions can not be overwritten. Raises ------ ValueError If `extra_args` contains a default $-substitution. """ ux.print_banner(banner, allow_color, force_color, extra_args=extra_args)
[docs] def run( self, *, activity: typing.Optional[presences.Activity] = None, afk: bool = False, asyncio_debug: typing.Optional[bool] = None, check_for_updates: bool = True, close_passed_executor: bool = False, close_loop: bool = True, coroutine_tracking_depth: typing.Optional[int] = None, enable_signal_handlers: typing.Optional[bool] = None, idle_since: typing.Optional[datetime.datetime] = None, ignore_session_start_limit: bool = False, large_threshold: int = 250, propagate_interrupts: bool = False, status: presences.Status = presences.Status.ONLINE, shard_ids: typing.Optional[typing.Sequence[int]] = None, shard_count: typing.Optional[int] = None, ) -> None: """Start the application and block until it's finished running. Other Parameters ---------------- activity : typing.Optional[hikari.presences.Activity] The initial activity to display in the bot user presence, or `None` (default) to not show any. afk : bool The initial AFK state to display in the bot user presence, or `False` (default) to not show any. asyncio_debug : bool Defaults to `False`. If `True`, then debugging is enabled for the asyncio event loop in use. check_for_updates : bool Defaults to `True`. If `True`, will check for newer versions of `hikari` on PyPI and notify if available. close_passed_executor : bool Defaults to `False`. If `True`, any custom `concurrent.futures.Executor` passed to the constructor will be shut down when the application terminates. This does not affect the default executor associated with the event loop, and will not do anything if you do not provide a custom executor to the constructor. close_loop : bool Defaults to `True`. If `True`, then once the bot enters a state where all components have shut down permanently during application shut down, then all asyncgens and background tasks will be destroyed, and the event loop will be shut down. This will wait until all `hikari`-owned `aiohttp` connectors have had time to attempt to shut down correctly (around 250ms), and on Python 3.9 and newer, will also shut down the default event loop executor too. coroutine_tracking_depth : typing.Optional[int] Defaults to `None`. If an integer value and supported by the interpreter, then this many nested coroutine calls will be tracked with their call origin state. This allows you to determine where non-awaited coroutines may originate from, but generally you do not want to leave this enabled for performance reasons. enable_signal_handlers : typing.Optional[bool] Defaults to `True` if this is started in the main thread. If on a non-Windows OS with builtin support for kernel-level POSIX signals, then setting this to `True` will allow treating keyboard interrupts and other OS signals to safely shut down the application as calls to shut down the application properly rather than just killing the process in a dirty state immediately. You should leave this enabled unless you plan to implement your own signal handling yourself. idle_since : typing.Optional[datetime.datetime] The `datetime.datetime` the user should be marked as being idle since, or `None` (default) to not show this. ignore_session_start_limit : bool Defaults to `False`. If `False`, then attempting to start more sessions than you are allowed in a 24 hour window will throw a `RuntimeError` rather than going ahead and hitting the IDENTIFY limit, which may result in your token being reset. Setting to `True` disables this behavior. large_threshold : int Threshold for members in a guild before it is treated as being "large" and no longer sending member details in the `GUILD CREATE` event. Defaults to `250`. propagate_interrupts : bool Defaults to `False`. If set to `True`, then any internal `hikari.errors.HikariInterrupt` that is raises as a result of catching an OS level signal will result in the exception being rethrown once the application has closed. This can allow you to use hikari signal handlers and still be able to determine what kind of interrupt the application received after it closes. When `False`, nothing is raised and the call will terminate cleanly and silently where possible instead. shard_ids : typing.Optional[typing.Sequence[int]] The shard IDs to create shards for. If not `None`, then a non-`None` `shard_count` must ALSO be provided. Defaults to `None`, which means the Discord-recommended count is used for your application instead. Note that the sequence will be de-duplicated. shard_count : typing.Optional[int] The number of shards to use in the entire distributed application. Defaults to `None` which results in the count being determined dynamically on startup. status : hikari.presences.Status The initial status to show for the user presence on startup. Defaults to `hikari.presences.Status.ONLINE`. Raises ------ hikari.errors.ComponentStateConflictError If bot is already running. TypeError If `shard_ids` is passed without `shard_count`. """ if self._closed_event: raise errors.ComponentStateConflictError("bot is already running") if shard_ids is not None and shard_count is None: raise TypeError("'shard_ids' must be passed with 'shard_count'") loop = aio.get_or_make_loop() if asyncio_debug: loop.set_debug(True) if coroutine_tracking_depth is not None: try: # Provisionally defined in CPython, may be removed without notice. sys.set_coroutine_origin_tracking_depth(coroutine_tracking_depth) except AttributeError: _LOGGER.log(ux.TRACE, "cannot set coroutine tracking depth for sys, no functionality exists for this") try: with signals.handle_interrupts( enabled=enable_signal_handlers, loop=loop, propagate_interrupts=propagate_interrupts, ): loop.run_until_complete( self.start( activity=activity, afk=afk, check_for_updates=check_for_updates, idle_since=idle_since, ignore_session_start_limit=ignore_session_start_limit, large_threshold=large_threshold, shard_ids=shard_ids, shard_count=shard_count, status=status, ) ) loop.run_until_complete(self.join()) finally: if self._closing_event: if self._closing_event.is_set(): loop.run_until_complete(self._closing_event.wait()) else: loop.run_until_complete(self.close()) if close_passed_executor and self._executor is not None: _LOGGER.debug("shutting down executor %s", self._executor) self._executor.shutdown(wait=True) self._executor = None if close_loop: aio.destroy_loop(loop, _LOGGER) _LOGGER.info("successfully terminated")
[docs] async def start( self, *, activity: typing.Optional[presences.Activity] = None, afk: bool = False, check_for_updates: bool = True, idle_since: typing.Optional[datetime.datetime] = None, ignore_session_start_limit: bool = False, large_threshold: int = 250, shard_ids: typing.Optional[typing.Sequence[int]] = None, shard_count: typing.Optional[int] = None, status: presences.Status = presences.Status.ONLINE, ) -> None: """Start the bot, wait for all shards to become ready, and then return. Other Parameters ---------------- activity : typing.Optional[hikari.presences.Activity] The initial activity to display in the bot user presence, or `None` (default) to not show any. afk : bool The initial AFK state to display in the bot user presence, or `False` (default) to not show any. check_for_updates : bool Defaults to `True`. If `True`, will check for newer versions of `hikari` on PyPI and notify if available. idle_since : typing.Optional[datetime.datetime] The `datetime.datetime` the user should be marked as being idle since, or `None` (default) to not show this. ignore_session_start_limit : bool Defaults to `False`. If `False`, then attempting to start more sessions than you are allowed in a 24 hour window will throw a `RuntimeError` rather than going ahead and hitting the IDENTIFY limit, which may result in your token being reset. Setting to `True` disables this behavior. large_threshold : int Threshold for members in a guild before it is treated as being "large" and no longer sending member details in the `GUILD CREATE` event. Defaults to `250`. shard_ids : typing.Optional[typing.Sequence[int]] The shard IDs to create shards for. If not `None`, then a non-`None` `shard_count` must ALSO be provided. Defaults to `None`, which means the Discord-recommended count is used for your application instead. Note that the sequence will be de-duplicated. shard_count : typing.Optional[int] The number of shards to use in the entire distributed application. Defaults to `None` which results in the count being determined dynamically on startup. status : hikari.presences.Status The initial status to show for the user presence on startup. Defaults to `hikari.presences.Status.ONLINE`. Raises ------ TypeError If `shard_ids` is passed without `shard_count`. hikari.errors.ComponentStateConflictError If bot is already running. """ if self._closed_event: raise errors.ComponentStateConflictError("bot is already running") if shard_ids is not None and shard_count is None: raise TypeError("'shard_ids' must be passed with 'shard_count'") _validate_activity(activity) start_time = time.monotonic() self._closed_event = asyncio.Event() self._closing_event = asyncio.Event() if check_for_updates: asyncio.create_task( ux.check_for_updates(self._http_settings, self._proxy_settings), name="check for package updates", ) self._rest.start() self._voice.start() await self._event_manager.dispatch(self._event_factory.deserialize_starting_event()) requirements = await self._rest.fetch_gateway_bot_info() if shard_count is None: shard_count = requirements.shard_count if shard_ids is None: shard_ids = tuple(range(shard_count)) else: shard_ids = tuple(dict.fromkeys(shard_ids)) if requirements.session_start_limit.remaining < len(shard_ids) and not ignore_session_start_limit: _LOGGER.critical( "would have started %s session%s, but you only have %s session%s remaining until %s. Starting more " "sessions than you are allowed to start may result in your token being reset. To skip this message, " "use bot.run(..., ignore_session_start_limit=True) or bot.start(..., ignore_session_start_limit=True)", len(shard_ids), "s" if len(shard_ids) != 1 else "", requirements.session_start_limit.remaining, "s" if requirements.session_start_limit.remaining != 1 else "", requirements.session_start_limit.reset_at, ) raise RuntimeError("Attempted to start more sessions than were allowed in the given time-window") _LOGGER.info( "you can start %s session%s before the next window which starts at %s; planning to start %s session%s... ", requirements.session_start_limit.remaining, "s" if requirements.session_start_limit.remaining != 1 else "", requirements.session_start_limit.reset_at, len(shard_ids), "s" if len(shard_ids) != 1 else "", ) max_concurrency = requirements.session_start_limit.max_concurrency while shard_ids: window = shard_ids[:max_concurrency] shard_ids = shard_ids[max_concurrency:] if self._shards: _LOGGER.info("the next startup window is in 5 seconds, please wait...") try: await aio.first_completed( self._closing_event.wait(), *(shard.join() for shard in self._shards.values()), timeout=5 ) if self._closing_event.is_set(): return _LOGGER.critical("one or more shards closed while starting; shutting down") raise RuntimeError("One or more shards closed while starting") except asyncio.TimeoutError: # new window starts. pass gather = asyncio.gather( *( self._start_one_shard( activity=activity, afk=afk, idle_since=idle_since, status=status, large_threshold=large_threshold, shard_id=shard_id, shard_count=shard_count, url=requirements.url, ) for shard_id in window ) ) await aio.first_completed(self._closing_event.wait(), gather) await self._event_manager.dispatch(self._event_factory.deserialize_started_event()) _LOGGER.info("started successfully in approx %.2f seconds", time.monotonic() - start_time)
[docs] def stream( self, event_type: typing.Type[base_events.EventT], /, timeout: typing.Union[float, int, None], limit: typing.Optional[int] = None, ) -> event_manager_.EventStream[base_events.EventT]: """Return a stream iterator for the given event and sub-events. .. warning:: If you use `stream.open()` to start the stream then you must also close it with `stream.close()` otherwise it may queue events in memory indefinitely. Parameters ---------- event_type : typing.Type[hikari.events.base_events.Event] The event type to listen for. This will listen for subclasses of this type additionally. timeout : typing.Optional[int, float] How long this streamer should wait for the next event before ending the iteration. If `None` then this will continue until explicitly broken from. limit : typing.Optional[int] The limit for how many events this should queue at one time before dropping extra incoming events, leave this as `None` for the cache size to be unlimited. Returns ------- EventStream[hikari.events.base_events.Event] The async iterator to handle streamed events. This must be started with `with stream:` or `stream.open()` before asynchronously iterating over it. Examples -------- .. code-block:: python with bot.stream(events.ReactionAddEvent, timeout=30).filter(("message_id", message.id)) as stream: async for user_id in stream.map("user_id").limit(50): ... or using `open()` and `close()` .. code-block:: python stream = bot.stream(events.ReactionAddEvent, timeout=30).filter(("message_id", message.id)) stream.open() async for user_id in stream.map("user_id").limit(50) ... stream.close() See Also -------- Dispatch : `hikari.impl.bot.GatewayBot.dispatch`. Listen : `hikari.impl.bot.GatewayBot.listen`. Subscribe : `hikari.impl.bot.GatewayBot.subscribe`. Unsubscribe : `hikari.impl.bot.GatewayBot.unsubscribe`. Wait_for : `hikari.impl.bot.GatewayBot.wait_for`. """ self._check_if_alive() return self._event_manager.stream(event_type, timeout=timeout, limit=limit)
# Yes, this is not generic. The reason for this is MyPy complains about # using ABCs that are not concrete in generic types passed to functions. # For the sake of UX, I will check this at runtime instead and let the # user use a static type checker.
[docs] def subscribe(self, event_type: typing.Type[typing.Any], callback: event_manager_.CallbackT[typing.Any]) -> None: """Subscribe a given callback to a given event type. Parameters ---------- event_type : typing.Type[T] The event type to listen for. This will also listen for any subclasses of the given type. `T` must be a subclass of `hikari.events.base_events.Event`. callback Must be a coroutine function to invoke. This should consume an instance of the given event, or an instance of a valid subclass if one exists. Any result is discarded. Examples -------- The following demonstrates subscribing a callback to message creation events. .. code-block:: python from hikari.events.messages import MessageCreateEvent async def on_message(event): ... bot.subscribe(MessageCreateEvent, on_message) See Also -------- Dispatch : `hikari.impl.bot.GatewayBot.dispatch`. Listen : `hikari.impl.bot.GatewayBot.listen`. Stream : `hikari.impl.bot.GatewayBot.stream`. Unsubscribe : `hikari.impl.bot.GatewayBot.unsubscribe`. Wait_for : `hikari.impl.bot.GatewayBot.wait_for`. """ self._event_manager.subscribe(event_type, callback)
# Yes, this is not generic. The reason for this is MyPy complains about # using ABCs that are not concrete in generic types passed to functions. # For the sake of UX, I will check this at runtime instead and let the # user use a static type checker.
[docs] def unsubscribe(self, event_type: typing.Type[typing.Any], callback: event_manager_.CallbackT[typing.Any]) -> None: """Unsubscribe a given callback from a given event type, if present. Parameters ---------- event_type : typing.Type[T] The event type to unsubscribe from. This must be the same exact type as was originally subscribed with to be removed correctly. `T` must derive from `hikari.events.base_events.Event`. callback The callback to unsubscribe. Examples -------- The following demonstrates unsubscribing a callback from a message creation event. .. code-block:: python from hikari.events.messages import MessageCreateEvent async def on_message(event): ... bot.unsubscribe(MessageCreateEvent, on_message) See Also -------- Dispatch : `hikari.impl.bot.GatewayBot.dispatch`. Listen : `hikari.impl.bot.GatewayBot.listen`. Stream : `hikari.impl.bot.GatewayBot.stream`. Subscribe : `hikari.impl.bot.GatewayBot.subscribe`. Wait_for : `hikari.impl.bot.GatewayBot.wait_for`. """ self._event_manager.unsubscribe(event_type, callback)
[docs] async def wait_for( self, event_type: typing.Type[base_events.EventT], /, timeout: typing.Union[float, int, None], predicate: typing.Optional[event_manager_.PredicateT[base_events.EventT]] = None, ) -> base_events.EventT: """Wait for a given event to occur once, then return the event. .. warning:: Async predicates are not supported. Parameters ---------- event_type : typing.Type[hikari.events.base_events.Event] The event type to listen for. This will listen for subclasses of this type additionally. predicate A function taking the event as the single parameter. This should return `True` if the event is one you want to return, or `False` if the event should not be returned. If left as `None` (the default), then the first matching event type that the bot receives (or any subtype) will be the one returned. timeout : typing.Union[float, int, None] The amount of time to wait before raising an `asyncio.TimeoutError` and giving up instead. This is measured in seconds. If `None`, then no timeout will be waited for (no timeout can result in "leaking" of coroutines that never complete if called in an uncontrolled way, so is not recommended). Returns ------- hikari.events.base_events.Event The event that was provided. Raises ------ asyncio.TimeoutError If the timeout is not `None` and is reached before an event is received that the predicate returns `True` for. See Also -------- Dispatch : `hikari.impl.bot.GatewayBot.dispatch`. Listen : `hikari.impl.bot.GatewayBot.listen`. Stream : `hikari.impl.bot.GatewayBot.stream`. Subscribe : `hikari.impl.bot.GatewayBot.subscribe`. Unsubscribe : `hikari.impl.bot.GatewayBot.unsubscribe`. """ self._check_if_alive() return await self._event_manager.wait_for(event_type, timeout=timeout, predicate=predicate)
def _get_shard(self, guild: snowflakes.SnowflakeishOr[guilds.PartialGuild]) -> gateway_shard.GatewayShard: guild = snowflakes.Snowflake(guild) if shard := self._shards.get(snowflakes.calculate_shard_id(self.shard_count, guild)): return shard raise RuntimeError(f"Guild {guild} isn't covered by any of the shards in this client") async def update_presence( self, *, status: undefined.UndefinedOr[presences.Status] = undefined.UNDEFINED, idle_since: undefined.UndefinedNoneOr[datetime.datetime] = undefined.UNDEFINED, activity: undefined.UndefinedNoneOr[presences.Activity] = undefined.UNDEFINED, afk: undefined.UndefinedOr[bool] = undefined.UNDEFINED, ) -> None: self._check_if_alive() _validate_activity(activity) coros = [ s.update_presence(status=status, activity=activity, idle_since=idle_since, afk=afk) for s in self._shards.values() ] await aio.all_of(*coros) async def update_voice_state( self, guild: snowflakes.SnowflakeishOr[guilds.PartialGuild], channel: typing.Optional[snowflakes.SnowflakeishOr[channels.GuildVoiceChannel]], *, self_mute: undefined.UndefinedOr[bool] = undefined.UNDEFINED, self_deaf: undefined.UndefinedOr[bool] = undefined.UNDEFINED, ) -> None: self._check_if_alive() shard = self._get_shard(guild) await shard.update_voice_state(guild=guild, channel=channel, self_mute=self_mute, self_deaf=self_deaf) async def request_guild_members( self, guild: snowflakes.SnowflakeishOr[guilds.PartialGuild], *, include_presences: undefined.UndefinedOr[bool] = undefined.UNDEFINED, query: str = "", limit: int = 0, users: undefined.UndefinedOr[snowflakes.SnowflakeishSequence[users_.User]] = undefined.UNDEFINED, nonce: undefined.UndefinedOr[str] = undefined.UNDEFINED, ) -> None: self._check_if_alive() shard = self._get_shard(guild) await shard.request_guild_members( guild=guild, include_presences=include_presences, query=query, limit=limit, users=users, nonce=nonce ) async def _start_one_shard( self, activity: typing.Optional[presences.Activity], afk: bool, idle_since: typing.Optional[datetime.datetime], status: presences.Status, large_threshold: int, shard_id: int, shard_count: int, url: str, ) -> None: new_shard = shard_impl.GatewayShardImpl( http_settings=self._http_settings, proxy_settings=self._proxy_settings, event_manager=self._event_manager, event_factory=self._event_factory, intents=self._intents, dumps=self._dumps, loads=self._loads, initial_activity=activity, initial_is_afk=afk, initial_idle_since=idle_since, initial_status=status, large_threshold=large_threshold, shard_id=shard_id, shard_count=shard_count, token=self._token, url=url, ) try: start = time.monotonic() await new_shard.start() end = time.monotonic() if new_shard.is_alive: _LOGGER.debug("shard %s started successfully in %.1fms", shard_id, (end - start) * 1_000) self._shards[shard_id] = new_shard return raise RuntimeError(f"shard {shard_id} shut down immediately when starting") except Exception: if new_shard.is_alive: await new_shard.close() raise