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deepfry

Deepfry Plugin for Tux Bot.

This plugin provides image deepfrying effects using PIL to apply various image processing transformations that create a "deepfried" visual effect, including saturation, contrast, and color adjustments.

Classes:

  • Deepfry

    Image deepfrying effects for Discord.

Functions:

  • setup

    Set up the deepfry plugin.

Classes

Deepfry

Python
Deepfry(bot: Tux)

Bases: BaseCog

Image deepfrying effects for Discord.

Initialize the Deepfry plugin.

Parameters:

  • bot (Tux) –

    The bot instance to initialize the plugin with.

Methods:

  • deepfry

    Deepfry an image using various image processing effects.

  • get_config

    Get a configuration value from CONFIG with support for nested keys.

  • __repr__

    Return a string representation of the cog instance.

  • unload_if_missing_config

    Check if required configuration is missing and log warning.

Attributes:

Attributes

db property

Get the database coordinator for accessing database controllers.

Returns:

  • DatabaseCoordinator

    Coordinator providing access to all database controllers.

Examples:

Python Console Session
>>> await self.db.guild_config.get_guild_config(guild_id)
>>> await self.db.cases.create_case(...)
Notes

This property provides convenient access to database operations without needing to access self.bot.db directly.

Functions

deepfry async
Python
deepfry(ctx: Context[Any], image: Attachment) -> None

Deepfry an image using various image processing effects.

_setup_command_usage
Python
_setup_command_usage() -> None

Generate usage strings for all commands in this cog that lack explicit usage.

The generated usage follows the pattern: <qualified_name> <param tokens>

Where: - Required parameters are denoted as <name: Type> - Optional parameters are denoted as [name: Type] - The prefix is intentionally omitted (provided by ctx.prefix)

Examples:

ban <member: Member> [reason: str] config set <key: str> <value: str>

Notes

Respects explicit usage strings if already set on a command. Errors during generation are logged but don't prevent cog loading.

_extract_image_url
Python
_extract_image_url(ctx: Context[Any], image: Attachment) -> str

Extract image URL from the attachment.

Returns:

  • str

    The URL of the image attachment.

_fetch_image async
Python
_fetch_image(url: str) -> Image

Fetch and load an image from URL.

Returns:

  • Image

    The loaded PIL Image object.

_deepfry_image
Python
_deepfry_image(image: Image) -> Image

Apply deepfry effects to an image.

Returns:

  • Image

    The deepfried image.

_generate_usage
Python
_generate_usage(command: Command[Any, ..., Any]) -> str

Generate a usage string with support for flags and positional parameters.

This method inspects the command's callback signature to detect: - FlagConverter parameters (e.g., --flag value) - Positional parameters (e.g., <required> or [optional])

Parameters:

  • command (Command) –

    The command to generate usage for.

Returns:

  • str

    Generated usage string, or qualified command name as fallback.

Notes

Delegates to shared usage generator for consistency across all cogs. Falls back gracefully to command name if generation fails.

_send_error_embed async
Python
_send_error_embed(ctx: Context[Any], title: str, description: str) -> None

Send a standardized error embed.

_send_image_result async
Python
_send_image_result(ctx: Context[Any], image: Image) -> None

Send the processed image result.

_send_animated_result async
Python
_send_animated_result(
    ctx: Context[Any], frames: list[Image], durations: list[int]
) -> None

Send the processed animated AVIF result.

get_config
Python
get_config(key: str, default: Any = None) -> Any

Get a configuration value from CONFIG with support for nested keys.

Parameters:

  • key (str) –

    The configuration key to retrieve. Supports dot notation for nested values (e.g., "BOT_INFO.BOT_NAME").

  • default (Any, default: None ) –

    Default value to return if key is not found, by default None.

Returns:

  • Any

    The configuration value or default if not found.

Examples:

Python Console Session
>>> self.get_config("BOT_INFO.BOT_NAME")
'Tux'
>>> self.get_config("MISSING_KEY", "fallback")
'fallback'
Notes

Errors during retrieval are logged but don't raise exceptions. Returns the default value on any error.

__repr__
Python
__repr__() -> str

Return a string representation of the cog instance.

Returns:

  • str

    String representation in format <CogName bot=BotUser>.

unload_if_missing_config
Python
unload_if_missing_config(condition: bool, config_name: str) -> bool

Check if required configuration is missing and log warning.

This allows cogs to detect missing configuration at load time and return early from init to prevent partial initialization.

Parameters:

  • condition (bool) –

    True if config is missing (should unload), False otherwise.

  • config_name (str) –

    Name of the missing configuration for logging purposes.

Returns:

  • bool

    True if config is missing (caller should return early), False if config is present.

Examples:

Python Console Session
>>> def __init__(self, bot: Tux):
...     super().__init__(bot)
...     if self.unload_if_missing_config(not CONFIG.GITHUB_TOKEN, "GITHUB_TOKEN"):
...         return  # Exit early, cog will be partially loaded but won't register commands
...     self.github_client = GitHubClient()
Notes

When this returns True, the cog's init should return early to avoid initializing services that depend on the missing config. The cog will be loaded but commands won't be registered properly, preventing runtime errors.

For complete cog unloading, the bot owner should remove the cog from the modules directory or use the reload system to unload it programmatically.

_unload_self async
Python
_unload_self(extension_name: str) -> None

Perform the actual cog unload operation.

Parameters:

  • extension_name (str) –

    Full extension name to unload.

Notes

This is called as a background task by unload_if_missing_config(). Errors during unload are logged but don't raise exceptions.

Functions

setup async

Python
setup(bot: Tux) -> None

Set up the deepfry plugin.

Parameters:

  • bot (Tux) –

    The bot instance to add the cog to.