Files
discord-analyst/src/scanners/reactions_scanner.py
T
klemek 3a4462af06 typo
2021-01-14 19:07:48 +01:00

83 lines
2.4 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 COMMON_HELP_ARGS, mention, channel_mention
class ReactionsScanner(Scanner):
@staticmethod
def help() -> str:
return (
"```\n"
+ "%react: Rank users by their reactions\n"
+ "arguments:\n"
+ COMMON_HELP_ARGS
+ "* <n> - top <n>, default is 10\n"
+ "Example: %react 10 #channel\n"
+ "```"
)
def __init__(self):
super().__init__(
has_digit_args=True,
help=ReactionsScanner.help(),
intro_context="Reactions",
)
async def init(self, message: discord.Message, *args: str) -> bool:
# get max emotes to view
self.top = 10
for arg in args:
if arg.isdigit():
self.top = int(arg)
# Create mentions dict
self.messages = defaultdict(Counter)
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return ReactionsScanner.analyse_message(
channel.id,
message,
self.messages,
self.raw_members,
)
def get_results(self, intro: str) -> List[str]:
names = [name for name in self.messages]
names.sort(key=lambda name: self.messages[name].score(), reverse=True)
names = names[: self.top]
usage_count = Counter.total(self.messages)
res = [intro]
res += [
self.messages[name].to_string(
names.index(name),
mention(name),
total_usage=usage_count,
counted="reaction",
transform=lambda id: f" in {channel_mention(id)}",
)
for name in names
]
return res
@staticmethod
def analyse_message(
channel_id: int,
message: MessageLog,
messages: Dict[str, Counter],
raw_members: List[int],
) -> bool:
impacted = True
for reaction in message.reactions:
for member_id in message.reactions[reaction]:
if len(raw_members) == 0 or member_id in raw_members:
messages[member_id].update_use(1, message.created_at, channel_id)
return impacted