WIP: Refactor Aurora (3.0.0) #29

Draft
cswimr wants to merge 347 commits from aurora-pydantic into main
Showing only changes of commit fc15b434c7 - Show all commits

View file

@ -2,13 +2,16 @@
from datetime import datetime, timedelta
from typing import Union
from discord import Color, Embed, Guild, Interaction, InteractionMessage, Member, Role, User
from discord import (Color, Embed, Guild, Interaction, InteractionMessage,
Member, Role, User)
from redbot.core import commands
from redbot.core.utils.chat_formatting import bold, box, error, humanize_timedelta, warning
from redbot.core.utils.chat_formatting import (bold, box, error,
humanize_timedelta, warning)
from aurora.models import Moderation, PartialUser
from aurora.utilities.config import config
from aurora.utilities.utils import fetch_channel_dict, fetch_user_dict, get_bool_emoji, get_next_case_number, get_pagesize_str
from aurora.utilities.utils import (get_bool_emoji, get_next_case_number,
get_pagesize_str)
async def message_factory(
@ -258,40 +261,22 @@ async def changes_factory(interaction: Interaction, moderation: Moderation) -> E
return embed
async def evidenceformat_factory(interaction: Interaction, case_dict: dict) -> str:
async def evidenceformat_factory(interaction: Interaction, moderation: Moderation) -> str:
"""This function creates a codeblock in evidence format from set parameters.
Args:
interaction (Interaction): The interaction object.
case_dict (dict): The case dictionary.
interaction (discord.Interaction): The interaction object.
moderation (aurora.models.Moderation): The moderation object.
"""
if case_dict["target_type"] == "USER":
target_user = await fetch_user_dict(interaction.client, case_dict["target_id"])
target_name = (
target_user["name"]
if target_user["discriminator"] == "0"
else f"{target_user['name']}#{target_user['discriminator']}"
)
target = await moderation.get_target()
moderator = await moderation.get_moderator()
elif case_dict["target_type"] == "CHANNEL":
target_user = await fetch_channel_dict(interaction.guild, case_dict["target_id"])
target_name = target_user["name"]
content = f"Case: {moderation.id:,} ({str.title(moderation.type)})\nTarget: {target.name} ({target.id})\nModerator: {moderator.name} ({moderator.id})"
moderator_user = await fetch_user_dict(interaction.client, case_dict["moderator_id"])
moderator_name = (
moderator_user["name"]
if moderator_user["discriminator"] == "0"
else f"{moderator_user['name']}#{moderator_user['discriminator']}"
)
if moderation.duration is not None:
content += f"\nDuration: {humanize_timedelta(timedelta=moderation.duration)}"
content = f"Case: {case_dict['moderation_id']:,} ({str.title(case_dict['moderation_type'])})\nTarget: {target_name} ({target_user['id']})\nModerator: {moderator_name} ({moderator_user['id']})"
if case_dict["duration"] != "NULL":
hours, minutes, seconds = map(int, case_dict["duration"].split(":"))
td = timedelta(hours=hours, minutes=minutes, seconds=seconds)
content += f"\nDuration: {humanize_timedelta(timedelta=td)}"
content += f"\nReason: {case_dict['reason']}"
content += f"\nReason: {moderation.reason}"
return box(content, "prolog")