%mentions

This commit is contained in:
klemek
2021-01-13 16:32:48 +01:00
parent 5d994a82e0
commit 86dc115697
8 changed files with 190 additions and 3 deletions
+1
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@@ -3,3 +3,4 @@ from .frequency_scanner import FrequencyScanner
from .composition_scanner import CompositionScanner
from .presence_scanner import PresenceScanner
from .full_scanner import FullScanner
from .mentions_scanner import MentionsScanner
+119
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@@ -0,0 +1,119 @@
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 Mention
from utils import (
COMMON_HELP_ARGS,
plural,
precise,
mention,
alt_mention,
role_mention,
channel_mention,
)
class MentionsScanner(Scanner):
@staticmethod
def help() -> str:
return (
"```\n"
+ "%mentions : Rank mentions by their usage\n"
+ "arguments:\n"
+ COMMON_HELP_ARGS
+ "* <n> : top <n> mentions, default is 10\n"
+ "* all : show role/channel/everyone/here mentions\n"
+ "Example: %mentions 10 #mychannel1 #mychannel2 @user\n"
+ "```"
)
def __init__(self):
super().__init__(
has_digit_args=True,
valid_args=["all"],
help=MentionsScanner.help(),
intro_context="Mention usage",
)
self.top = 10
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)
# check other args
self.all_mentions = "all" in args
# Create mentions dict
self.mentions = defaultdict(Mention)
return True
def compute_message(self, channel: ChannelLogs, message: MessageLog):
return MentionsScanner.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]
# Get the total of all emotes used
usage_count = sum([mention.usages for mention in self.mentions.values()])
res = [intro]
res += [
self.mentions[name].to_string(
names.index(name),
name,
total_usage=usage_count,
)
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, Mention],
raw_members: List[int],
*,
all_mentions: bool,
) -> bool:
impacted = False
# If author is included in the selection (empty list is all)
if not message.bot and len(raw_members) == 0 or message.author in raw_members:
impacted = True
for member_id in message.mentions:
name = mention(member_id)
count = message.content.count(name) + message.content.count(
alt_mention(member_id)
)
mentions[name].update_use(count, message.created_at)
if all_mentions:
for role_id in message.role_mentions:
name = role_mention(role_id)
mentions[name].update_use(
message.content.count(name), message.created_at
)
for channel_id in message.channel_mentions:
name = channel_mention(channel_id)
mentions[name].update_use(
message.content.count(name), message.created_at
)
if "@everyone" in message.content:
mentions["@\u200beveryone"].update_use(
message.content.count("@everyone"), message.created_at
)
if "@here" in message.content:
mentions["@\u200bhere"].update_use(
message.content.count("@here"), message.created_at
)
return impacted
-1
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@@ -46,7 +46,6 @@ class Scanner(ABC):
# check args validity
str_channel_mentions = [str(channel.id) for channel in message.channel_mentions]
str_mentions = [str(member.id) for member in message.mentions]
print(str_mentions)
for i, arg in enumerate(args[1:]):
if re.match(r"^<@!?\d+>$", arg):
arg = arg[3:-1] if "!" in arg else arg[2:-1]