feat(aurora): finished the factory migrations
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1 changed files with 15 additions and 30 deletions
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@ -2,13 +2,16 @@
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from datetime import datetime, timedelta
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from typing import Union
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from discord import Color, Embed, Guild, Interaction, InteractionMessage, Member, Role, User
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from discord import (Color, Embed, Guild, Interaction, InteractionMessage,
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Member, Role, User)
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from redbot.core import commands
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from redbot.core.utils.chat_formatting import bold, box, error, humanize_timedelta, warning
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from redbot.core.utils.chat_formatting import (bold, box, error,
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humanize_timedelta, warning)
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from aurora.models import Moderation, PartialUser
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from aurora.utilities.config import config
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from aurora.utilities.utils import fetch_channel_dict, fetch_user_dict, get_bool_emoji, get_next_case_number, get_pagesize_str
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from aurora.utilities.utils import (get_bool_emoji, get_next_case_number,
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get_pagesize_str)
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async def message_factory(
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@ -258,40 +261,22 @@ async def changes_factory(interaction: Interaction, moderation: Moderation) -> E
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return embed
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async def evidenceformat_factory(interaction: Interaction, case_dict: dict) -> str:
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async def evidenceformat_factory(interaction: Interaction, moderation: Moderation) -> str:
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"""This function creates a codeblock in evidence format from set parameters.
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Args:
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interaction (Interaction): The interaction object.
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case_dict (dict): The case dictionary.
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interaction (discord.Interaction): The interaction object.
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moderation (aurora.models.Moderation): The moderation object.
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"""
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if case_dict["target_type"] == "USER":
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target_user = await fetch_user_dict(interaction.client, case_dict["target_id"])
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target_name = (
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target_user["name"]
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if target_user["discriminator"] == "0"
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else f"{target_user['name']}#{target_user['discriminator']}"
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)
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target = await moderation.get_target()
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moderator = await moderation.get_moderator()
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elif case_dict["target_type"] == "CHANNEL":
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target_user = await fetch_channel_dict(interaction.guild, case_dict["target_id"])
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target_name = target_user["name"]
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content = f"Case: {moderation.id:,} ({str.title(moderation.type)})\nTarget: {target.name} ({target.id})\nModerator: {moderator.name} ({moderator.id})"
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moderator_user = await fetch_user_dict(interaction.client, case_dict["moderator_id"])
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moderator_name = (
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moderator_user["name"]
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if moderator_user["discriminator"] == "0"
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else f"{moderator_user['name']}#{moderator_user['discriminator']}"
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)
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if moderation.duration is not None:
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content += f"\nDuration: {humanize_timedelta(timedelta=moderation.duration)}"
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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']})"
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if case_dict["duration"] != "NULL":
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hours, minutes, seconds = map(int, case_dict["duration"].split(":"))
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td = timedelta(hours=hours, minutes=minutes, seconds=seconds)
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content += f"\nDuration: {humanize_timedelta(timedelta=td)}"
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content += f"\nReason: {case_dict['reason']}"
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content += f"\nReason: {moderation.reason}"
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return box(content, "prolog")
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