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:
                new = new.set_index(['msg id', 'emoji'])
                self.reactions = pd.concat([self.reactions, new])
                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

    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'