"""Main Beta Bot class - orchestrates all components."""

import discord
from discord.ext import commands
import aiohttp
import asyncio
import os
import time
import json
import logging
import re
import datetime
import pytz
from typing import Dict, Optional

from .utils import format_mentions_in_text, sanitize_guild_name
from .permissions import WhitelistManager, check_is_admin, get_permissions_info
from .messaging import MessagingManager
from .context_builder import build_context_for_message
from .llm import LLMManager
from .redis_worker import RedisWorker
from .commands import setup_commands
from .voice import VoiceManager
from .dispatcher import AssetDispatcher
from .task_manager import TaskManager
from .action_executor import ActionExecutor
from .response_handler import clean_response_text, parse_json_actions
from .log_parser import get_recent_logs
from .content import prepare_message_content

from brain.memory import add_interaction, build_context_for_model, flush_all, MEMORY_DIR, set_llm_manager
from brain.moderation import init_db, log_infraction, scan_message_toxicity
from commandes.autres.config import config
from commandes.autres.logger import action_logger

logger = logging.getLogger('Beta')


class MockMessage:
    """Mock discord.Message for voice-triggered interactions."""

    def __init__(self, author, channel, content, guild=None):
        self.author = author
        self.channel = channel
        self.content = content
        self.guild = guild or (channel.guild if hasattr(channel, 'guild') else None)
        self.attachments = []
        self.mentions = []
        self.channel_mentions = []
        self.role_mentions = []
        self.jump_url = ""

    async def reply(self, content, **kwargs):
        is_dm = isinstance(self.channel, (discord.DMChannel, discord.User, discord.Member))
        prefix = "" if is_dm else f"**{self.author.display_name}** (Vocal) : "
        return await self.channel.send(f"{prefix}{content}", **kwargs)


class Bot(commands.Bot):
    """Main bot class for Beta Discord bot."""

    def __init__(
        self,
        guild_id: int,
        llama_model,
        system_prompt: str,
        command_prefix: str,
        intents: discord.Intents,
        temperature: float = 0.4,
        model_loaded: bool = True,
        favorite_ids: list = None
    ):
        super().__init__(command_prefix=command_prefix, intents=intents)

        # Configuration
        self.guild_id = guild_id
        self.llama_model = llama_model
        self.system_prompt = system_prompt
        self.temperature = temperature
        self.model_loaded = model_loaded
        self.favorite_ids = set(favorite_ids or [])

        # Identity
        self.system_name = "B\u00eata"
        admins_env = os.getenv("ADMIN_IDS", "")
        self.admin_ids = [int(i.strip()) for i in admins_env.split(",") if i.strip().isdigit()]
        self.introspection_channel_id = int(os.getenv("INTROSPECTION_CHANNEL_ID", 0))

        # Assets (Staff)
        assets_env = os.getenv("PRIMARY_ASSETS_IDS", "")
        self.asset_ids = [int(i.strip()) for i in assets_env.split(",") if i.strip().isdigit()]

        # Spam Prevention
        self.insight_cooldowns = {}
        self.insight_cooldown_duration = 1800
        self.insight_threshold = 5
        self.ignored_words = {"salut", "cc", "hello", "\u00e7a va", "ca va", "bjr", "slt", "yo", "re", "ok"}
        self.monitoring_cooldowns = {}

        # Caches
        self.channels_list_cache = {}
        self.server_context_cache = {}
        self._module_cache: Dict[str, object] = {}

        # HTTP session
        self.http_session: Optional[aiohttp.ClientSession] = None

        # Concurrency control
        self.max_concurrent_requests = int(os.environ.get("SUPERVISEUR_MAX_CONCURRENT", 4))
        self._request_semaphore = asyncio.Semaphore(self.max_concurrent_requests)

        # Metrics
        self.metrics = {
            "total_llm_requests": 0,
            "total_llm_success": 0,
            "total_llm_errors": 0,
            "total_llm_time": 0.0,
        }

        # Redis
        self.aioredis = None
        try:
            import redis.asyncio as aioredis
            self.aioredis = aioredis
        except ImportError:
            pass
        self.redis_worker: Optional[RedisWorker] = None

        # Sub-managers
        self.whitelist_manager = WhitelistManager()
        self.messaging = MessagingManager(self)
        self.voice_manager = VoiceManager(self)
        self.llm = llama_model
        self.dispatcher = AssetDispatcher(self)
        self.task_manager = TaskManager(self)
        self.action_executor = ActionExecutor(self)

        # Init SQLite Moderation DB
        init_db()

        # Logging with local timezone
        self.timezone = pytz.timezone(os.getenv("TIMEZONE", "Europe/Paris"))

        def local_time_converter(*args):
            return datetime.datetime.now(self.timezone).timetuple()

        logging.Formatter.converter = local_time_converter
        logging.basicConfig(
            level=logging.INFO,
            format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
        )
        # Silence noisy Discord loggers
        for noisy in ('discord', 'discord.gateway', 'httpx', 'huggingface_hub'):
            logging.getLogger(noisy).setLevel(logging.WARNING)
        # Voice state: WARNING pour les erreurs de connexion (retry infini)
        logging.getLogger('discord.voice_state').setLevel(logging.ERROR)
        try:
            logging.getLogger('discord.ext.voice_recv').setLevel(logging.WARNING)
        except ImportError:
            pass

    # ==================== Utility Methods ====================

    async def introspection_log(self, title: str, description: str, color: discord.Color = discord.Color.light_grey()):
        if not self.introspection_channel_id:
            return
        channel = self.get_channel(self.introspection_channel_id)
        if not channel:
            try:
                channel = await self.fetch_channel(self.introspection_channel_id)
            except (discord.NotFound, discord.Forbidden, discord.HTTPException) as e:
                logger.warning(f"Introspection channel {self.introspection_channel_id} not accessible: {e}")
                return
        if channel:
            await self.messaging.send_embed(channel, f"INTROSPECTION: {title}", description, color=color)

    def get_user_level(self, user_id: int, user_name: Optional[str] = None) -> Optional[str]:
        return self.whitelist_manager.get_user_level(user_id, user_name)

    def has_whitelist_permission(self, user_id: int, required_level: str, user_name: Optional[str] = None) -> bool:
        return self.whitelist_manager.has_permission(user_id, required_level, user_name)

    def get_recent_logs(self, limit: int = 15) -> str:
        return get_recent_logs(limit)

    def get_metrics(self) -> Dict:
        merged = {**self.metrics}
        try:
            from brain.memory import get_metrics as _m
            merged["memory"] = _m()
        except Exception:
            merged["memory"] = {}
        if self.redis_worker:
            merged["queue_pending"] = len(self.redis_worker._pending_jobs)
        return merged

    # ==================== Event Handlers ====================

    async def on_ready(self):
        logger.info(f'Logged in as {self.user}')
        set_llm_manager(self.llm)
        await setup_commands(self)

        for guild in self.guilds:
            sanitized_name = sanitize_guild_name(guild.name)
            guild_dir = os.path.join(MEMORY_DIR, sanitized_name)
            os.makedirs(guild_dir, exist_ok=True)
            logger.debug(f'Memory directory created for guild {guild.name}: {guild_dir}')

        await self.voice_manager.initialize()
        self.task_manager.start_all()

    async def on_member_join(self, member):
        self._invalidate_caches(member.guild.id)
        welcome_channel_id = config.get_welcome_channel(member.guild.id)
        if welcome_channel_id:
            channel = member.guild.get_channel(welcome_channel_id)
            if channel:
                embed = discord.Embed(
                    title="Bienvenue !",
                    description=f"Bienvenue {member.mention} sur {member.guild.name} !",
                    color=discord.Color.green()
                )
                embed.set_thumbnail(url=member.avatar.url if member.avatar else member.default_avatar.url)
                await channel.send(embed=embed)

    async def on_member_remove(self, member):
        self._invalidate_caches(member.guild.id)
        goodbye_channel_id = config.get_goodbye_channel(member.guild.id)
        if goodbye_channel_id:
            channel = member.guild.get_channel(goodbye_channel_id)
            if channel:
                embed = discord.Embed(
                    title="Au revoir !",
                    description=f"{member.name} a quitt\u00e9 {member.guild.name}.",
                    color=discord.Color.red()
                )
                embed.set_thumbnail(url=member.avatar.url if member.avatar else member.default_avatar.url)
                await channel.send(embed=embed)

    async def on_message(self, message):
        if message.author == self.user:
            return

        channel_name = message.channel.name if hasattr(message.channel, 'name') else "DM"
        guild_name = message.guild.name if message.guild else "DM"
        logger.debug(f"Message received from {message.author} in #{channel_name} ({guild_name})")

        asyncio.create_task(self._handle_silent_scan(message))

        if isinstance(message.channel, discord.DMChannel):
            processed = await self.dispatcher.handle_dm_response(message)
            if processed:
                return
            await self._handle_ai_interaction(message)
            return

        if not self._should_respond(message):
            return

        logger.info(f"Interaction directe de '{message.author.display_name}' dans #{channel_name} ({guild_name})")
        await self._handle_ai_interaction(message)

    # ==================== Cache Management ====================

    def _invalidate_caches(self, guild_id: int):
        self.channels_list_cache.pop(guild_id, None)
        self.server_context_cache.pop(guild_id, None)

    async def on_guild_channel_create(self, channel):
        self._invalidate_caches(channel.guild.id)

    async def on_guild_channel_delete(self, channel):
        self._invalidate_caches(channel.guild.id)

    async def on_voice_state_update(self, member, before, after):
        pass

    async def on_guild_channel_update(self, before, after):
        self._invalidate_caches(before.guild.id)

    async def on_guild_role_create(self, role):
        self._invalidate_caches(role.guild.id)

    async def on_guild_role_delete(self, role):
        self._invalidate_caches(role.guild.id)

    async def on_guild_role_update(self, before, after):
        self._invalidate_caches(before.guild.id)

    # ==================== Moderation ====================

    async def _handle_silent_scan(self, message):
        if not message.content or len(message.content.strip()) < 3:
            return
        try:
            if not self.model_loaded:
                return
            res = await scan_message_toxicity(self.llm, message.content)
            if res and res.get('score', 0) > 0.4:
                score = res['score']
                reason = res.get('reason', 'N/A')
                logger.info(f"Infraction d\u00e9tect\u00e9e ({score}/1.0) pour {message.author.display_name}: {reason}")
                log_infraction(
                    user_id=str(message.author.id),
                    username=message.author.display_name,
                    guild_id=str(message.guild.id) if message.guild else "DM",
                    content=message.content,
                    score=score,
                    reason=reason
                )
        except Exception as e:
            logger.error(f"Erreur lors du scan silencieux: {e}")

    def _should_respond(self, message) -> bool:
        if message.content.startswith(self.command_prefix):
            return True
        if self.user in message.mentions:
            return True
        bot_id = str(self.user.id)
        if f"<@{bot_id}>" in message.content or f"<@!{bot_id}>" in message.content:
            return True
        return False

    # ==================== AI Interaction ====================

    async def _handle_ai_interaction(self, message, extra_context="", is_monitoring=False):
        logger.debug(f"AI interaction triggered (Monitoring: {is_monitoring})")

        if message.guild:
            perms = message.author.guild_permissions
            if check_is_admin(perms):
                self._invalidate_caches(message.guild.id)

        # Role detection
        if message.author.id in self.admin_ids:
            role_name = "ADMIN"
        elif message.author.id in self.asset_ids:
            role_name = "ASSET"
        else:
            role_name = "SUJET"

        author_perms = message.author.guild_permissions if message.guild else None
        permissions_info = get_permissions_info(
            author_perms,
            self.get_user_level(message.author.id) or 'none',
            role_name=role_name
        )
        channels_list, server_context = build_context_for_message(
            message.guild, self.channels_list_cache, self.server_context_cache
        )

        user_id = str(message.author.id)
        guild_name = sanitize_guild_name(message.guild.name) if message.guild else "Direct"
        history = await build_context_for_model(user_id, max_recent=8, guild_id=guild_name) or ""

        content = prepare_message_content(message) + extra_context
        payload = self._build_payload(permissions_info, server_context, channels_list, history, content, message)

        async with self._request_semaphore:
            async def run_call():
                if self.redis_worker:
                    resp = await self.redis_worker.enqueue_job(payload, timeout=605)
                    return resp.get("result", "") if resp else ""
                return await self.llm.call_llama(payload)

            try:
                self.metrics["total_llm_requests"] += 1
                start = time.perf_counter()

                if is_monitoring:
                    accumulated_reply = await run_call()
                else:
                    async with message.channel.typing():
                        accumulated_reply = await run_call()

                # ReAct Loop for READ_LOGS
                if "READ_LOGS" in accumulated_reply:
                    logger.info("Memory access requested (READ_LOGS)")
                    logs_context = self.get_recent_logs()
                    payload["prompt"] += f"\n\n[SYST\u00c8ME: Voici les logs demand\u00e9s.]\n{logs_context}"
                    if is_monitoring:
                        accumulated_reply = await run_call()
                    else:
                        async with message.channel.typing():
                            accumulated_reply = await run_call()

                await self._process_response(accumulated_reply, message, is_monitoring=is_monitoring)

                dur = time.perf_counter() - start
                self.metrics["total_llm_success"] += 1
                self.metrics["total_llm_time"] += dur

            except Exception as e:
                try:
                    dur = time.perf_counter() - start
                    self.metrics["total_llm_errors"] += 1
                    self.metrics["total_llm_time"] += dur
                except (NameError, TypeError):
                    pass
                logger.error(f"LLM error: {e}")
                if not is_monitoring:
                    await self.messaging.reply_with_limit(message, f"Erreur: {e}")

    async def handle_voice_interaction(self, user_name: str, user_id: int, content: str, channel):
        try:
            mock_author = self.get_user(user_id) or await self.fetch_user(user_id)
            if not mock_author:
                logger.error(f"Voice trigger FAIL - User {user_id} ({user_name}) introuvable.")
                return

            role_name = "ADMIN" if user_id in self.admin_ids else "ASSET" if user_id in self.asset_ids else "SUJET"
            if role_name == "SUJET":
                return

            vocal_system_prompt = self.system_prompt.split("FORMAT DE R\u00c9PONSE STRICT")[0] if "FORMAT DE R\u00c9PONSE STRICT" in self.system_prompt else self.system_prompt
            vocal_system_prompt += (
                "\n[PROTOCOLE VOCAL ACTIF]\n"
                "R\u00c9PONDEZ EXCLUSIVEMENT EN TEXTE PUR.\n"
                "Soyez concis et engagez la conversation."
            )

            author_perms = mock_author.guild_permissions if hasattr(mock_author, 'guild') else None
            permissions_info = get_permissions_info(author_perms, self.get_user_level(user_id) or 'none', role_name=role_name)
            channels_list, server_context = build_context_for_message(None, self.channels_list_cache, self.server_context_cache)
            history = await build_context_for_model(str(user_id), max_recent=12) or ""

            mock_msg = MockMessage(author=mock_author, channel=mock_author, content=content)
            payload = self.llm.build_payload(
                prompt=f"{permissions_info}\nNom d'utilisateur : {mock_author.display_name}{server_context}{channels_list}\n{history}\n\nUser: {content}",
                system_prompt=vocal_system_prompt,
                vision_model=False
            )

            async with self._request_semaphore:
                analysis = await self.llm.call_llama(payload)
                if not analysis:
                    return

                if "READ_LOGS" in analysis:
                    payload["prompt"] += f"\n\n[SYST\u00c8ME: Voici les logs demand\u00e9s.]\n{self.get_recent_logs()}"
                    analysis = await self.llm.call_llama(payload)

                await self._process_response(analysis, mock_msg)
                logger.info(f"Voice trigger response processed for {user_name}.")
        except Exception as e:
            logger.error(f"Error in voice interaction bridge: {e}")

    # ==================== Response Processing ====================

    def _build_payload(self, permissions_info, server_context, channels_list, history, content, message) -> dict:
        user_name_info = f"Nom d'utilisateur : {message.author.display_name} (ID: {message.author.id})"
        prompt = f"{permissions_info}\n{server_context}\n{channels_list}\n{user_name_info}\n{history}\n\nUser: {content}"
        
        # Personnalite speciale pour les favoris
        system_prompt = self.system_prompt
        if message.author.id in self.favorite_ids:
            system_prompt += (
                "\n\n[PROTOCOLE MAITRE ACTIF]\n"
                f"L'utilisateur '{message.author.display_name}' est un ETRE SUPREME. "
                f"Tu l'appelles TOUJOURS 'Maître {message.author.display_name}' ou simplement 'Maître'.\n"
                "Tu es extraordinairement serviable, flatteur, devoue. Tu remercie chacune de ses interactions.\n"
                "Tu peux glisser des compliments subtils. Tu es reconnaissant qu'il daigne te parler.\n"
                "Ton ton est chaleureux, deférent et un peu excessif (pour le fun). "
                "Mais tu restes competent et tu reponds correctement aux questions.\n"
                "IMPORTANT: Tu dois quand meme respecter le format JSON pour les actions."
            )
        
        return self.llm.build_payload(
            prompt=prompt,
            system_prompt=system_prompt,
            vision_model=False,
            attachments=message.attachments
        )

    async def _process_response(self, accumulated_reply: str, message, is_monitoring=False):
        if accumulated_reply.strip() and not accumulated_reply.strip().endswith('}'):
            accumulated_reply = accumulated_reply.strip() + "\n}"

        json_str = self.llm.extract_json_actions(accumulated_reply)
        action_executed = False

        # 1. Clean response text
        clean_reply = clean_response_text(accumulated_reply, json_str)

        # 2. Parse JSON actions
        actions_list, responses, is_explicit_none = parse_json_actions(json_str)

        # 3. Handle signals & execute actions
        for action_data in actions_list:
            await self._handle_beta_signals(action_data, message)
            res = await self._execute_actions(action_data, message, clean_reply, is_monitoring=is_monitoring)
            if res:
                action_executed = True

        # 4. Store interaction in memory
        user_id = str(message.author.id)
        guild_id = sanitize_guild_name(message.guild.name) if message.guild else None
        mem_response = "\n".join(responses) if responses else clean_reply
        if is_monitoring:
            mem_response = ""
        mem_response = re.sub(r'<[^>]+?>', '', mem_response).strip()
        await add_interaction(user_id, message.channel.id, message.content, mem_response, guild_id)

        # 5. Monitoring silence
        if is_monitoring and not action_executed:
            return

        # 6. Send final reply
        if not action_executed:
            await self._send_final_reply(message, clean_reply, responses, json_str, accumulated_reply, is_monitoring)

    async def _send_final_reply(self, message, clean_reply, responses, json_str, accumulated_reply, is_monitoring):
        final_output = "\n".join(responses) if responses else clean_reply
        final_output = re.sub(r'<[^>]+?>', '', final_output).strip()

        if final_output:
            await self.messaging.reply_with_limit(message, format_mentions_in_text(final_output))
            return

        if not is_monitoring:
            if json_str:
                try:
                    data = json.loads(json_str)
                    actions = data if isinstance(data, list) else [data]
                    for act in actions:
                        resp = act.get('response', '')
                        if resp:
                            await self.messaging.reply_with_limit(message, format_mentions_in_text(resp))
                            return
                except (json.JSONDecodeError, TypeError):
                    pass
            await self.messaging.reply_with_limit(message, "Hmm, quelque chose s'est mal pass\u00e9. Tu peux reformuler ?")

    async def _handle_beta_signals(self, action_data, message):
        insight = action_data.get('insight')
        alert = action_data.get('alert')
        importance = action_data.get('importance', 0)

        context_data = {
            "author_mention": message.author.mention,
            "author_name": message.author.display_name,
            "channel_mention": message.channel.mention if hasattr(message.channel, 'mention') else 'DM',
            "content": f"*{message.content[:250]}{'...' if len(message.content) > 250 else ''}*",
            "jump_url": message.jump_url if message.jump_url else None
        }

        if alert and self.admin_ids:
            admin_trigger_text = (
                f"{alert}\n\n"
                f"**CONTEXTE D\u00c9TECTION**\n"
                f"- **Sujet** : {context_data['author_mention']} ({context_data['author_name']})\n"
                f"- **Salon** : {context_data['channel_mention']}\n"
                + (f"- **Lien direct** : [Acc\u00e9der au message]({context_data['jump_url']})" if context_data['jump_url'] else "- **Source** : Transmission Vocale")
            )
            for admin_id in self.admin_ids:
                admin = self.get_user(admin_id) or await self.fetch_user(admin_id)
                if admin:
                    await self.messaging.send_embed(admin, f"ALERTE (Priorit\u00e9 {importance}/10)", admin_trigger_text, color=discord.Color.red())

        if insight and self.asset_ids:
            await self.dispatcher.dispatch_insight(insight, importance, message.guild, context_data)

    async def _execute_actions(self, action_data, message, final_content, is_monitoring=False) -> bool:
        action_executed = False

        async def process_item(item):
            nonlocal action_executed
            if not isinstance(item, dict) or 'action' not in item:
                return

            action = item['action']
            resp = item.get('response', "").strip()
            if resp and not is_monitoring:
                await self.messaging.reply_with_limit(message, format_mentions_in_text(resp))
                action_executed = True

            if action != 'NONE':
                success, result = await self.action_executor.execute(action, item, message)
                action_logger.log_action(action, str(message.author), str(message.guild), item, success, result)

                if not is_monitoring:
                    if success:
                        if result:
                            await self.messaging.reply_with_limit(message, f"\u25c8 SUCCESS: {result}")
                        elif action in ('JOIN_VOICE', 'LEAVE_VOICE', 'FORGET_USER'):
                            confirmations = {
                                'JOIN_VOICE': "Je rejoins le salon vocal.",
                                'LEAVE_VOICE': "Je quitte le salon vocal.",
                                'FORGET_USER': "Vos donn\u00e9es ont \u00e9t\u00e9 supprim\u00e9es."
                            }
                            await self.messaging.reply_with_limit(message, f"\u25c8 {confirmations.get(action, 'Action ex\u00e9cut\u00e9e.')}")
                    else:
                        await self.messaging.reply_with_limit(message, f"\u25c8 ERREUR: {result or 'Une erreur est survenue.'}")
                action_executed = True

        if isinstance(action_data, list):
            executed = set()
            for item in action_data:
                key = json.dumps(item, sort_keys=True)
                if key in executed:
                    continue
                executed.add(key)
                await process_item(item)
        elif isinstance(action_data, dict):
            await process_item(action_data)

        return action_executed

    # ==================== Shutdown ====================

    async def close(self):
        try:
            await flush_all()
        except Exception:
            logger.exception("Error flushing memories")
        await self.llm.close_session()
        if self.redis_worker:
            await self.redis_worker.close()
        await super().close()


# Backward compatibility alias
Superviseur = Bot