Klemek
88 lines
2.5 KiB
Python
88 lines
2.5 KiB
Python
from typing import Dict, List
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from collections import defaultdict
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import discord
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# Custom libs
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from logs import ChannelLogs, MessageLog
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from .scanner import Scanner
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from data_types import Counter
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from utils import generate_help, mention, channel_mention
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class MessagesScanner(Scanner):
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@staticmethod
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def help() -> str:
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return generate_help(
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"msg",
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"Rank users by their messages",
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args=["<n> - top <n>, default is 10", "all/everyone - include bots"],
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example="10 #channel",
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)
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def __init__(self):
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super().__init__(
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has_digit_args=True,
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valid_args=["all", "everyone"],
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help=MessagesScanner.help(),
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intro_context="Messages",
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)
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async def init(self, message: discord.Message, *args: str) -> bool:
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self.top = 10
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for arg in args:
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if arg.isdigit():
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self.top = int(arg)
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self.all_messages = "all" in args or "everyone" in args
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# Create mentions dict
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self.messages = defaultdict(Counter)
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return True
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def compute_message(self, channel: ChannelLogs, message: MessageLog):
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return MessagesScanner.analyse_message(
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channel.id,
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message,
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self.messages,
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self.raw_members,
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all_messages=self.all_messages,
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)
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def get_results(self, intro: str) -> List[str]:
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names = [name for name in self.messages]
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names.sort(key=lambda name: self.messages[name].score(), reverse=True)
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names = names[: self.top]
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usage_count = Counter.total(self.messages)
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res = [intro]
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res += [
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self.messages[name].to_string(
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names.index(name),
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mention(name),
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total_usage=usage_count,
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counted="message",
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transform=lambda id: f" in {channel_mention(id)}",
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top=self.channels != 1,
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)
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for name in names
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]
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return res
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@staticmethod
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def analyse_message(
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channel_id: int,
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message: MessageLog,
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messages: Dict[str, Counter],
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raw_members: List[int],
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*,
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all_messages: bool,
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) -> bool:
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impacted = False
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if (
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len(raw_members) == 0
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and (not message.bot or all_messages)
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or message.author in raw_members
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):
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impacted = True
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messages[message.author].update_use(1, message.created_at, channel_id)
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return impacted
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