212 lines
12 KiB
Python
212 lines
12 KiB
Python
# pylint: disable=cyclic-import
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from datetime import datetime, timedelta
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import humanize
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from discord import Color, Embed, Guild, Interaction, InteractionMessage
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from .config import config
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from .utils import fetch_channel_dict, fetch_user_dict, get_next_case_number
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async def embed_factory(embed_type: str, color: Color, /, interaction: Interaction = None, case_dict: dict = None, guild: Guild = None, reason: str = None, moderation_type: str = None, response: InteractionMessage = None, duration: timedelta = None, resolved: bool = False):
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"""This method creates an embed from set parameters, meant for either moderation logging or contacting the moderated user.
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Valid arguments for 'embed_type':
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- 'message'
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- 'log'
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- 'case'
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- 'changes'
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Required arguments for 'message':
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- guild
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- reason
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- moderation_type
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- response
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- duration (optional)
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Required arguments for 'log':
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- interaction
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- case_dict
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- resolved (optional)
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Required arguments for 'case', 'changes', and `evidenceformat`:
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- interaction
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- case_dict"""
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codeblock = '```'
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if embed_type == 'message':
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if moderation_type in ["kicked", "banned", "tempbanned", "unbanned"]:
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guild_name = guild.name
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else:
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guild_name = f"[{guild.name}]({response.jump_url})"
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if moderation_type in ["tempbanned", "muted"] and duration:
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embed_duration = f" for {humanize.precisedelta(duration)}"
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else:
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embed_duration = ""
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if moderation_type == "note":
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embed_desc = "received a"
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else:
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embed_desc = "been"
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embed = Embed(title=str.title(moderation_type), description=f"You have {embed_desc} {moderation_type}{embed_duration} in {guild_name}.", color=color, timestamp=datetime.now())
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if await config.guild(guild).show_moderator():
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embed.add_field(name='Moderator', value=f"`{interaction.user.name} ({interaction.user.id})`", inline=False)
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embed.add_field(name='Reason', value=f"`{reason}`", inline=False)
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if guild.icon.url is not None:
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embed.set_author(name=guild.name, icon_url=guild.icon.url)
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else:
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embed.set_author(name=guild.name)
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embed.set_footer(text=f"Case #{await get_next_case_number(guild.id):,}", icon_url="https://cdn.discordapp.com/attachments/1070822161389994054/1159469476773904414/arrow-right-circle-icon-512x512-2p1e2aaw.png?ex=65312319&is=651eae19&hm=3cebdd28e805c13a79ec48ef87c32ca532ffa6b9ede2e48d0cf8e5e81f3a6818&")
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return embed
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if embed_type == 'case':
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if case_dict['target_type'] == 'USER':
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target_user = await fetch_user_dict(interaction, case_dict['target_id'])
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target_name = f"`{target_user['name']}`" if target_user['discriminator'] == "0" else f"`{target_user['name']}#{target_user['discriminator']}`"
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elif case_dict['target_type'] == 'CHANNEL':
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target_user = await fetch_channel_dict(interaction, case_dict['target_id'])
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if target_user['mention']:
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target_name = f"{target_user['mention']}"
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else:
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target_name = f"`{target_user['name']}`"
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moderator_user = await fetch_user_dict(interaction, case_dict['moderator_id'])
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moderator_name = f"`{moderator_user['name']}`" if moderator_user['discriminator'] == "0" else f"`{moderator_user['name']}#{moderator_user['discriminator']}`"
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embed = Embed(title=f"📕 Case #{case_dict['moderation_id']:,}", color=color)
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embed.description = f"**Type:** {str.title(case_dict['moderation_type'])}\n**Target:** {target_name} ({target_user['id']})\n**Moderator:** {moderator_name} ({moderator_user['id']})\n**Resolved:** {bool(case_dict['resolved'])}\n**Timestamp:** <t:{case_dict['timestamp']}> | <t:{case_dict['timestamp']}:R>"
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if case_dict['duration'] != 'NULL':
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td = timedelta(**{unit: int(val) for unit, val in zip(["hours", "minutes", "seconds"], case_dict["duration"].split(":"))})
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duration_embed = f"{humanize.precisedelta(td)} | <t:{case_dict['end_timestamp']}:R>" if bool(case_dict['expired']) is False else str(humanize.precisedelta(td))
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embed.description += f"\n**Duration:** {duration_embed}\n**Expired:** {bool(case_dict['expired'])}"
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embed.description += f"\n**Changes:** {len(case_dict['changes']) - 1}" if case_dict['changes'] else "\n**Changes:** 0"
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if case_dict['metadata']:
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if case_dict['metadata']['imported_from']:
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embed.description += f"\n**Imported From:** {case_dict['metadata']['imported_from']}"
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embed.add_field(name='Reason', value=f"{codeblock}{case_dict['reason']}{codeblock}", inline=False)
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if case_dict['resolved'] == 1:
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resolved_user = await fetch_user_dict(interaction, case_dict['resolved_by'])
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resolved_name = f"`{resolved_user['name']}`" if resolved_user['discriminator'] == "0" else f"`{resolved_user['name']}#{resolved_user['discriminator']}`"
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embed.add_field(name='Resolve Reason', value=f"Resolved by {resolved_name} ({resolved_user['id']}) for:\n{codeblock}{case_dict['resolve_reason']}{codeblock}", inline=False)
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return embed
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if embed_type == 'changes':
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embed = Embed(title=f"📕 Case #{case_dict['moderation_id']:,} Changes", color=color)
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memory_dict = {}
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if case_dict['changes']:
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for change in case_dict['changes']:
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if change['user_id'] not in memory_dict:
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memory_dict[str(change['user_id'])] = await fetch_user_dict(interaction, change['user_id'])
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user = memory_dict[str(change['user_id'])]
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name = user['name'] if user['discriminator'] == "0" else f"{user['name']}#{user['discriminator']}"
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timestamp = f"<t:{change['timestamp']}> | <t:{change['timestamp']}:R>"
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if change['type'] == 'ORIGINAL':
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embed.add_field(name='Original', value=f"**User:** `{name}` ({user['id']})\n**Reason:** {change['reason']}\n**Timestamp:** {timestamp}", inline=False)
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elif change['type'] == 'EDIT':
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embed.add_field(name='Edit', value=f"**User:** `{name}` ({user['id']})\n**Reason:** {change['reason']}\n**Timestamp:** {timestamp}", inline=False)
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elif change['type'] == 'RESOLVE':
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embed.add_field(name='Resolve', value=f"**User:** `{name}` ({user['id']})\n**Reason:** {change['reason']}\n**Timestamp:** {timestamp}", inline=False)
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else:
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embed.description = "*No changes have been made to this case.* 🙁"
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return embed
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if embed_type == 'evidenceformat':
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if case_dict['target_type'] == 'USER':
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target_user = await fetch_user_dict(interaction, case_dict['target_id'])
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target_name = target_user['name'] if target_user['discriminator'] == "0" else f"{target_user['name']}#{target_user['discriminator']}"
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elif case_dict['target_type'] == 'CHANNEL':
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target_user = await fetch_channel_dict(interaction, case_dict['target_id'])
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target_name = target_user['name']
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moderator_user = await fetch_user_dict(interaction, case_dict['moderator_id'])
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moderator_name = moderator_user['name'] if moderator_user['discriminator'] == "0" else f"{moderator_user['name']}#{moderator_user['discriminator']}"
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content = f"{codeblock}prolog\nCase: {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.precisedelta(td)}"
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content += f"\nReason: {case_dict['reason']}{codeblock}"
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return content
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if embed_type == 'log':
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if resolved:
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if case_dict['target_type'] == 'USER':
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target_user = await fetch_user_dict(interaction, case_dict['target_id'])
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target_name = f"`{target_user['name']}`" if target_user['discriminator'] == "0" else f"`{target_user['name']}#{target_user['discriminator']}`"
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elif case_dict['target_type'] == 'CHANNEL':
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target_user = await fetch_channel_dict(interaction, case_dict['target_id'])
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if target_user['mention']:
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target_name = f"{target_user['mention']}"
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else:
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target_name = f"`{target_user['name']}`"
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moderator_user = await fetch_user_dict(interaction, case_dict['moderator_id'])
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moderator_name = f"`{moderator_user['name']}`" if moderator_user['discriminator'] == "0" else f"`{moderator_user['name']}#{moderator_user['discriminator']}`"
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embed = Embed(title=f"📕 Case #{case_dict['moderation_id']:,} Resolved", color=color)
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embed.description = f"**Type:** {str.title(case_dict['moderation_type'])}\n**Target:** {target_name} ({target_user['id']})\n**Moderator:** {moderator_name} ({moderator_user['id']})\n**Timestamp:** <t:{case_dict['timestamp']}> | <t:{case_dict['timestamp']}:R>"
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if case_dict['duration'] != 'NULL':
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td = timedelta(**{unit: int(val) for unit, val in zip(["hours", "minutes", "seconds"], case_dict["duration"].split(":"))})
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duration_embed = f"{humanize.precisedelta(td)} | <t:{case_dict['end_timestamp']}:R>" if case_dict["expired"] == '0' else str(humanize.precisedelta(td))
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embed.description = embed.description + f"\n**Duration:** {duration_embed}\n**Expired:** {bool(case_dict['expired'])}"
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embed.add_field(name='Reason', value=f"{codeblock}{case_dict['reason']}{codeblock}", inline=False)
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resolved_user = await fetch_user_dict(interaction, case_dict['resolved_by'])
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resolved_name = resolved_user['name'] if resolved_user['discriminator'] == "0" else f"{resolved_user['name']}#{resolved_user['discriminator']}"
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embed.add_field(name='Resolve Reason', value=f"Resolved by {resolved_name} ({resolved_user['id']}) for:\n{codeblock}{case_dict['resolve_reason']}{codeblock}", inline=False)
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else:
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if case_dict['target_type'] == 'USER':
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target_user = await fetch_user_dict(interaction, case_dict['target_id'])
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target_name = f"`{target_user['name']}`" if target_user['discriminator'] == "0" else f"`{target_user['name']}#{target_user['discriminator']}`"
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elif case_dict['target_type'] == 'CHANNEL':
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target_user = await fetch_channel_dict(interaction, case_dict['target_id'])
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if target_user['mention']:
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target_name = target_user['mention']
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else:
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target_name = f"`{target_user['name']}`"
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moderator_user = await fetch_user_dict(interaction, case_dict['moderator_id'])
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moderator_name = f"`{moderator_user['name']}`" if moderator_user['discriminator'] == "0" else f"`{moderator_user['name']}#{moderator_user['discriminator']}`"
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embed = Embed(title=f"📕 Case #{case_dict['moderation_id']:,}", color=color)
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embed.description = f"**Type:** {str.title(case_dict['moderation_type'])}\n**Target:** {target_name} ({target_user['id']})\n**Moderator:** {moderator_name} ({moderator_user['id']})\n**Timestamp:** <t:{case_dict['timestamp']}> | <t:{case_dict['timestamp']}:R>"
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if case_dict['duration'] != 'NULL':
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td = timedelta(**{unit: int(val) for unit, val in zip(["hours", "minutes", "seconds"], case_dict["duration"].split(":"))})
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embed.description = embed.description + f"\n**Duration:** {humanize.precisedelta(td)} | <t:{case_dict['end_timestamp']}:R>"
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embed.add_field(name='Reason', value=f"{codeblock}{case_dict['reason']}{codeblock}", inline=False)
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return embed
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raise(TypeError("'type' argument is invalid!"))
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