moved MsgData to a separate module

This commit is contained in:
2021-08-11 17:31:47 -05:00
parent 3a4d0084fe
commit c36f03e84d
3 changed files with 146 additions and 137 deletions

144
data.py Normal file
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import asyncio
import logging
import sqlite3
from pathlib import Path
import discord
import pandas as pd
from discord import RawReactionActionEvent
from msg import message_df, reaction_df, message_dict, LOGGER, convert_emoji, reaction_series, emoji_messages, \
emoji_totals
LOGGER = logging.getLogger(__name__)
class MsgData:
msgs: pd.DataFrame
reactions: pd.DataFrame
lock: asyncio.Lock
@classmethod
async def create(cls, client: discord.Client, **kwargs):
self = MsgData()
self.msgs: pd.DataFrame = await message_df(client, **kwargs)
self.msgs = self.msgs.sort_values('created')
self.reactions: pd.DataFrame = await reaction_df(self.msgs['object'].tolist())
self.lock = asyncio.Lock()
return self
@classmethod
def from_sql(cls, db):
if isinstance(db, (str, Path)):
con = sqlite3.connect(db)
elif isinstance(db, sqlite3.Connection):
con = db
self = MsgData()
self.msgs: pd.DataFrame = pd.read_sql('select * from msgs', con=con, index_col='id')
self.msgs['created'] = self.msgs['created'].apply(pd.to_datetime, utc=True)
self.reactions: pd.DataFrame = pd.read_sql('select * from reactions', con).set_index(['msg id', 'emoji'])
return self
def to_sql(self, db):
if isinstance(db, (str, Path)):
con = sqlite3.connect(db)
elif isinstance(db, sqlite3.Connection):
con = db
self.msgs.drop('object', axis=1).to_sql(
name='msgs',
con=con,
if_exists='replace',
index=True,
index_label=self.msgs.index.name
)
self.reactions.to_sql(
name='reactions',
con=con,
if_exists='replace',
index=True,
index_label=self.reactions.index.name
)
def __str__(self):
return str(self.msgs) + '\n\n' + str(self.reactions)
async def add_msg(self, message: discord.Message):
async with self.lock:
mdict = message_dict(message)
mdict.pop('id')
self.msgs.loc[message.id] = pd.Series(mdict)
LOGGER.info(f'Added message id {message.id} from {message.author}: {message.content}')
async def update_reaction(self, client: discord.Client, payload: RawReactionActionEvent):
payload.emoji: discord.PartialEmoji = convert_emoji(payload.emoji)
chan: discord.TextChannel = await client.fetch_channel(channel_id=payload.channel_id)
msg: discord.Message = await chan.fetch_message(payload.message_id)
async with self.lock:
try:
self.reactions.drop(msg.id, level=0, axis=0)
except KeyError as e:
LOGGER.warning(e)
if (new := await reaction_series(msg=msg)) is not None:
self.reactions = pd.concat([self.reactions, new.set_index(['msg id', 'emoji'])])
LOGGER.info(f'\n{str(new)}')
def emoji_messages(self, emoji_name: str, days: int):
res = emoji_messages(msg_df=self.msgs, react_df=self.reactions, emoji_name=emoji_name, days=days)
if res is None:
raise KeyError(f'No emojis found for {emoji_name}')
else:
return res
def emoji_totals(self, emoji_name: str, days: int):
return emoji_totals(edf=self.emoji_messages(emoji_name, days))
def emoji_leaderboard(self, emoji_name: str, days: int):
df = self.emoji_totals(emoji_name, days)
width = max(list(map(lambda s: len(str(s)), df.index.values)))
res = f'{emoji_name} totals, past {days} days\n'
res += '\n'.join(
f"`{str(name).ljust(width + 1)}with {row['total']:<2.0f} total`"
for name, row in df.iterrows()
)
return res
def cancellation_leaderboard(self, days):
return self.emoji_leaderboard(emoji_name='cancelled', days=days)
def worst_offsenses(self, user: str, days: int):
cdf = self.emoji_messages('cancelled', days=days)
cdf = cdf[cdf['display_name'].str.contains(user, case=False)]
if cdf.shape[0] > 0:
res = f'{user}\'s top 5 cancellations in the last {days} days:\n'
res += f'\n'.join(
f'`{row["count"]:<2.0f}cancellations`\n{row["link"]}' for idx, row in cdf.iloc[:5].iterrows())
else:
res = f'No cancellations for {user} in the past {days} days'
return res
def biggest_daddy(self, days, top: int = None):
df = self.emoji_totals('daddy', days)
if top is not None:
df = df.iloc[:top]
width = max(list(map(lambda s: len(str(s)), df.index.values)))
res = f'Daddy totals, past {days} days\n'
res += '\n'.join(
f"`{name.ljust(width + 1)}with {row['total']:<2.0f} total`"
for name, row in df.iterrows()
)
return res
async def biggest_single(self, client: discord.Client, emoji: str, days: int) -> str:
data = self.emoji_totals(emoji_name=emoji, days=days)
username = data.index[0]
reacted_msgs = self.emoji_messages(emoji_name=emoji, days=days)
d = reacted_msgs.set_index('display_name')['user id'].drop_duplicates().to_dict()
user: discord.User = await client.fetch_user(user_id=d[username])
LOGGER.info(f'User: {user.mention}')
return f'{user.mention} with {data.iloc[0]["total"]:.0f} over the past {int(days)} days'