SeaCogs/aurora/utilities/embed_factory.py

214 lines
12 KiB
Python

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