Files
discord-analyst/src/scanners/mentioned_scanner.py
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2021-04-22 14:50:48 +02:00

93 lines
3.0 KiB
Python

from typing import Dict, List
from collections import defaultdict
import discord
# Custom libs
from logs import ChannelLogs, MessageLog
from .scanner import Scanner
from data_types import Counter
from utils import generate_help, plural, precise, mention, alt_mention
class MentionedScanner(Scanner):
@staticmethod
def help() -> str:
return generate_help(
"mentioned",
"Rank specific user's mentions by their usage",
args=["<n> - top <n>, default is 10", "all/everyone - include bots"],
example="5 @user",
replace_args=[" @member/me - (required) one or more member"],
)
def __init__(self):
super().__init__(
has_digit_args=True,
valid_args=["all"],
help=MentionedScanner.help(),
intro_context="Mentioned by members",
)
async def init(self, message: discord.Message, *args: str) -> bool:
self.top = 10
for arg in args:
if arg.isdigit():
self.top = int(arg)
if len(self.members) == 0:
await message.channel.send(
"You need to mention at least one member or use `me`", reference=message
)
return False
self.all_mentions = "all" in args or "everyone" in args
# Create mentions dict
self.mentions = defaultdict(Counter)
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return MentionedScanner.analyse_message(
message, self.mentions, self.raw_members, all_mentions=self.all_mentions
)
def get_results(self, intro: str) -> List[str]:
names = [name for name in self.mentions]
names.sort(key=lambda name: self.mentions[name].score(), reverse=True)
names = names[: self.top]
usage_count = Counter.total(self.mentions)
res = [intro]
res += [
self.mentions[name].to_string(
names.index(name),
name,
total_usage=usage_count,
transform=lambda id: f" for {mention(id)}",
top=len(self.members) != 1,
)
for name in names
]
res += [
f"Total: {plural(usage_count,'time')} ({precise(usage_count/self.msg_count)}/msg)"
]
return res
@staticmethod
def analyse_message(
message: MessageLog,
mentions: Dict[str, Counter],
raw_members: List[int],
*,
all_mentions: bool,
) -> bool:
impacted = True
if not message.bot or all_mentions:
for member_id in message.mentions:
if member_id in raw_members:
count = message.content.count(
mention(member_id)
) + message.content.count(alt_mention(member_id))
mentions[mention(message.author)].update_use(
count, message.created_at, member_id
)
return impacted