#!/usr/bin/env python3
"""
RPA Vision V3 - ResponseGenerator
Générateur de réponses en langage naturel pour l'agent conversationnel.

Ce module génère des réponses adaptées au contexte :
- Confirmations et résumés d'exécution
- Réponses aux questions
- Messages d'erreur formatés
- Suggestions et aide

Auteur: Dom - Janvier 2026
"""

import logging
import random
from dataclasses import dataclass
from enum import Enum
from typing import Dict, Any, List, Optional

from .intent_parser import IntentType, ParsedIntent
from .confirmation import PendingConfirmation, ConfirmationStatus, RiskLevel

logger = logging.getLogger(__name__)


class ResponseTone(Enum):
    """Ton des réponses."""
    FORMAL = "formal"       # Formel, professionnel
    FRIENDLY = "friendly"   # Amical, décontracté
    CONCISE = "concise"     # Bref, direct
    DETAILED = "detailed"   # Détaillé, explicatif


@dataclass
class GeneratedResponse:
    """Une réponse générée."""
    message: str
    suggestions: List[str]
    action_required: bool = False
    action_type: Optional[str] = None
    metadata: Dict[str, Any] = None

    def to_dict(self) -> Dict[str, Any]:
        return {
            "message": self.message,
            "suggestions": self.suggestions,
            "action_required": self.action_required,
            "action_type": self.action_type,
            "metadata": self.metadata or {}
        }


class ResponseGenerator:
    """
    Générateur de réponses en langage naturel.

    Adapte les réponses selon le contexte, le ton souhaité
    et le type d'interaction.
    """

    # Templates de réponses par type d'intention
    RESPONSE_TEMPLATES = {
        IntentType.EXECUTE: {
            "success": [
                "J'ai lancé le workflow '{workflow}'. {details}",
                "Le workflow '{workflow}' est en cours d'exécution. {details}",
                "C'est parti pour '{workflow}' ! {details}"
            ],
            "error": [
                "Impossible d'exécuter '{workflow}': {error}",
                "Erreur lors du lancement de '{workflow}': {error}",
                "Le workflow '{workflow}' a échoué: {error}"
            ],
            "not_found": [
                "Je n'ai pas trouvé de workflow correspondant à '{query}'.",
                "Aucun workflow ne correspond à '{query}'. Voulez-vous voir la liste ?",
                "'{query}' ne correspond à aucun workflow connu."
            ]
        },
        IntentType.LIST: {
            "success": [
                "Voici les workflows disponibles :\n{list}",
                "J'ai trouvé {count} workflows :\n{list}",
            ],
            "empty": [
                "Aucun workflow n'est configuré pour le moment.",
                "La liste des workflows est vide."
            ]
        },
        IntentType.QUERY: {
            "found": [
                "Voici ce que j'ai trouvé sur '{topic}' :\n{answer}",
                "À propos de '{topic}' :\n{answer}"
            ],
            "not_found": [
                "Je n'ai pas d'information sur '{topic}'.",
                "Je ne peux pas répondre à cette question sur '{topic}'."
            ]
        },
        IntentType.HELP: {
            "general": [
                "Je suis votre assistant RPA. Voici ce que je peux faire :\n\n"
                "• Exécuter des workflows : \"lance facturation client Acme\"\n"
                "• Lister les workflows : \"quels workflows sont disponibles ?\"\n"
                "• Voir le statut : \"où en est l'exécution ?\"\n"
                "• Annuler : \"annule\"\n\n"
                "Tapez votre commande en langage naturel !",
            ]
        },
        IntentType.STATUS: {
            "running": [
                "Exécution en cours : '{workflow}'\nProgression : {progress}%\n{message}",
                "Le workflow '{workflow}' s'exécute ({progress}%): {message}"
            ],
            "idle": [
                "Aucune exécution en cours. Système prêt.",
                "Tout est calme. Que puis-je faire pour vous ?"
            ],
            "completed": [
                "Dernière exécution : '{workflow}' - {status}",
                "'{workflow}' est terminé : {status}"
            ]
        },
        IntentType.CANCEL: {
            "success": [
                "Exécution annulée.",
                "J'ai arrêté le workflow en cours.",
                "Annulation effectuée."
            ],
            "nothing": [
                "Rien à annuler, aucune exécution en cours.",
                "Il n'y a pas d'exécution active."
            ]
        },
        IntentType.HISTORY: {
            "success": [
                "Voici vos dernières commandes :\n{history}",
                "Historique récent :\n{history}"
            ],
            "empty": [
                "Pas encore d'historique.",
                "Vous n'avez pas encore exécuté de commandes."
            ]
        },
        IntentType.CONFIRM: {
            "accepted": [
                "Très bien, j'exécute '{workflow}'.",
                "C'est parti pour '{workflow}' !",
                "Confirmé. Lancement de '{workflow}'."
            ],
            "no_pending": [
                "Il n'y a rien à confirmer.",
                "Aucune action en attente de confirmation."
            ]
        },
        IntentType.DENY: {
            "cancelled": [
                "Action annulée.",
                "D'accord, j'annule.",
                "Compris, on oublie."
            ]
        },
        IntentType.CLARIFY: {
            "question": [
                "{question}",
            ]
        },
        IntentType.UNKNOWN: {
            "default": [
                "Je n'ai pas compris. Pouvez-vous reformuler ?",
                "Désolé, je ne comprends pas '{query}'. Tapez 'aide' pour voir les commandes.",
                "'{query}' ? Je ne suis pas sûr de comprendre."
            ]
        }
    }

    # Suggestions par contexte
    CONTEXTUAL_SUGGESTIONS = {
        "after_execute": [
            "voir le statut",
            "annuler",
            "liste des workflows"
        ],
        "after_error": [
            "aide",
            "liste des workflows",
            "réessayer"
        ],
        "after_list": [
            "exécuter un workflow",
            "aide"
        ],
        "idle": [
            "facturer client X",
            "liste des workflows",
            "aide"
        ]
    }

    def __init__(self, tone: ResponseTone = ResponseTone.FRIENDLY):
        """
        Initialiser le générateur de réponses.

        Args:
            tone: Ton des réponses
        """
        self.tone = tone

    def generate(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Optional[Dict[str, Any]] = None
    ) -> GeneratedResponse:
        """
        Générer une réponse adaptée.

        Args:
            intent: L'intention parsée
            context: Contexte de la conversation
            result: Résultat de l'action (optionnel)

        Returns:
            GeneratedResponse formatée
        """
        result = result or {}

        # Sélectionner le handler approprié
        handler = getattr(self, f"_handle_{intent.intent_type.value}", self._handle_unknown)
        return handler(intent, context, result)

    def generate_confirmation_request(
        self,
        confirmation: PendingConfirmation
    ) -> GeneratedResponse:
        """
        Générer une demande de confirmation.

        Args:
            confirmation: La confirmation en attente

        Returns:
            GeneratedResponse avec la demande
        """
        message = confirmation.confirmation_message

        # Ajouter des émojis selon le risque
        if confirmation.risk_level == RiskLevel.CRITICAL:
            message = f"🚨 {message}"
        elif confirmation.risk_level == RiskLevel.HIGH:
            message = f"⚠️ {message}"

        suggestions = ["oui", "non", "modifier les paramètres"]

        return GeneratedResponse(
            message=message,
            suggestions=suggestions,
            action_required=True,
            action_type="confirmation",
            metadata={"confirmation_id": confirmation.id}
        )

    def generate_execution_progress(
        self,
        workflow_name: str,
        progress: int,
        step: str,
        current: int,
        total: int
    ) -> GeneratedResponse:
        """
        Générer un message de progression.

        Args:
            workflow_name: Nom du workflow
            progress: Pourcentage de progression
            step: Étape actuelle
            current: Numéro de l'étape
            total: Nombre total d'étapes

        Returns:
            GeneratedResponse avec la progression
        """
        # Barre de progression visuelle
        bar_length = 20
        filled = int(bar_length * progress / 100)
        bar = "█" * filled + "░" * (bar_length - filled)

        message = f"**{workflow_name}** [{bar}] {progress}%\n\nÉtape {current}/{total}: {step}"

        return GeneratedResponse(
            message=message,
            suggestions=["annuler"] if progress < 100 else [],
            action_required=False,
            metadata={
                "workflow": workflow_name,
                "progress": progress,
                "step": step
            }
        )

    def generate_execution_result(
        self,
        workflow_name: str,
        success: bool,
        message: str,
        duration: Optional[float] = None
    ) -> GeneratedResponse:
        """
        Générer un message de résultat d'exécution.

        Args:
            workflow_name: Nom du workflow
            success: Succès ou échec
            message: Message détaillé
            duration: Durée d'exécution en secondes

        Returns:
            GeneratedResponse avec le résultat
        """
        if success:
            emoji = "✅"
            status = "terminé avec succès"
            suggestions = self.CONTEXTUAL_SUGGESTIONS["idle"]
        else:
            emoji = "❌"
            status = "échoué"
            suggestions = self.CONTEXTUAL_SUGGESTIONS["after_error"]

        response_message = f"{emoji} **{workflow_name}** {status}\n\n{message}"

        if duration:
            response_message += f"\n\nDurée: {duration:.1f}s"

        return GeneratedResponse(
            message=response_message,
            suggestions=suggestions,
            action_required=False,
            metadata={
                "workflow": workflow_name,
                "success": success,
                "duration": duration
            }
        )

    # --- Handlers par type d'intention ---

    def _handle_execute(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour les intentions d'exécution."""
        templates = self.RESPONSE_TEMPLATES[IntentType.EXECUTE]

        if result.get("success"):
            template = random.choice(templates["success"])
            workflow = result.get("workflow", intent.workflow_hint or "inconnu")
            details = ""

            if result.get("params"):
                params_str = ", ".join([f"{k}={v}" for k, v in result["params"].items()])
                details = f"Paramètres: {params_str}"

            message = template.format(workflow=workflow, details=details)
            suggestions = self.CONTEXTUAL_SUGGESTIONS["after_execute"]

        elif result.get("not_found"):
            template = random.choice(templates["not_found"])
            message = template.format(query=intent.raw_query)
            suggestions = self.CONTEXTUAL_SUGGESTIONS["after_error"]

        else:
            template = random.choice(templates["error"])
            workflow = intent.workflow_hint or intent.raw_query
            error = result.get("error", "Erreur inconnue")
            message = template.format(workflow=workflow, error=error)
            suggestions = self.CONTEXTUAL_SUGGESTIONS["after_error"]

        return GeneratedResponse(
            message=message,
            suggestions=suggestions,
            action_required=False
        )

    def _handle_list(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour les listes de workflows."""
        templates = self.RESPONSE_TEMPLATES[IntentType.LIST]
        workflows = result.get("workflows", [])

        if workflows:
            template = random.choice(templates["success"])
            workflow_list = "\n".join([f"• **{wf['name']}**: {wf.get('description', '')}" for wf in workflows[:10]])
            message = template.format(list=workflow_list, count=len(workflows))
            suggestions = self.CONTEXTUAL_SUGGESTIONS["after_list"]
        else:
            message = random.choice(templates["empty"])
            suggestions = ["aide"]

        return GeneratedResponse(
            message=message,
            suggestions=suggestions,
            action_required=False
        )

    def _handle_help(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour l'aide."""
        templates = self.RESPONSE_TEMPLATES[IntentType.HELP]
        message = random.choice(templates["general"])

        return GeneratedResponse(
            message=message,
            suggestions=self.CONTEXTUAL_SUGGESTIONS["idle"],
            action_required=False
        )

    def _handle_status(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour le statut."""
        templates = self.RESPONSE_TEMPLATES[IntentType.STATUS]
        execution = result.get("execution", {})

        if execution.get("running"):
            template = random.choice(templates["running"])
            message = template.format(
                workflow=execution.get("workflow", "Inconnu"),
                progress=execution.get("progress", 0),
                message=execution.get("message", "")
            )
            suggestions = ["annuler"]
        else:
            message = random.choice(templates["idle"])
            suggestions = self.CONTEXTUAL_SUGGESTIONS["idle"]

        return GeneratedResponse(
            message=message,
            suggestions=suggestions,
            action_required=False
        )

    def _handle_cancel(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour l'annulation."""
        templates = self.RESPONSE_TEMPLATES[IntentType.CANCEL]

        if result.get("cancelled"):
            message = random.choice(templates["success"])
        else:
            message = random.choice(templates["nothing"])

        return GeneratedResponse(
            message=message,
            suggestions=self.CONTEXTUAL_SUGGESTIONS["idle"],
            action_required=False
        )

    def _handle_history(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour l'historique."""
        templates = self.RESPONSE_TEMPLATES[IntentType.HISTORY]
        history = result.get("history", [])

        if history:
            template = random.choice(templates["success"])
            history_list = "\n".join([
                f"• {h['timestamp'][:19]} - {h['command']} → {h['status']}"
                for h in history[-5:]
            ])
            message = template.format(history=history_list)
        else:
            message = random.choice(templates["empty"])

        return GeneratedResponse(
            message=message,
            suggestions=self.CONTEXTUAL_SUGGESTIONS["idle"],
            action_required=False
        )

    def _handle_confirm(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour la confirmation."""
        templates = self.RESPONSE_TEMPLATES[IntentType.CONFIRM]

        if result.get("confirmed"):
            template = random.choice(templates["accepted"])
            message = template.format(workflow=result.get("workflow", ""))
            suggestions = self.CONTEXTUAL_SUGGESTIONS["after_execute"]
        else:
            message = random.choice(templates["no_pending"])
            suggestions = self.CONTEXTUAL_SUGGESTIONS["idle"]

        return GeneratedResponse(
            message=message,
            suggestions=suggestions,
            action_required=False
        )

    def _handle_deny(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour le refus."""
        templates = self.RESPONSE_TEMPLATES[IntentType.DENY]
        message = random.choice(templates["cancelled"])

        return GeneratedResponse(
            message=message,
            suggestions=self.CONTEXTUAL_SUGGESTIONS["idle"],
            action_required=False
        )

    def _handle_clarify(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour les demandes de clarification."""
        question = intent.clarification_question or "Pouvez-vous préciser ?"

        return GeneratedResponse(
            message=question,
            suggestions=[],
            action_required=True,
            action_type="clarification"
        )

    def _handle_query(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour les questions."""
        templates = self.RESPONSE_TEMPLATES[IntentType.QUERY]
        topic = intent.workflow_hint or intent.raw_query

        if result.get("answer"):
            template = random.choice(templates["found"])
            message = template.format(topic=topic, answer=result["answer"])
        else:
            template = random.choice(templates["not_found"])
            message = template.format(topic=topic)

        return GeneratedResponse(
            message=message,
            suggestions=self.CONTEXTUAL_SUGGESTIONS["idle"],
            action_required=False
        )

    def _handle_unknown(
        self,
        intent: ParsedIntent,
        context: Dict[str, Any],
        result: Dict[str, Any]
    ) -> GeneratedResponse:
        """Handler pour les intentions non reconnues."""
        templates = self.RESPONSE_TEMPLATES[IntentType.UNKNOWN]
        template = random.choice(templates["default"])
        message = template.format(query=intent.raw_query)

        return GeneratedResponse(
            message=message,
            suggestions=["aide", "liste des workflows"],
            action_required=False
        )


# Singleton pour utilisation globale
_response_generator: Optional[ResponseGenerator] = None

def get_response_generator(tone: ResponseTone = ResponseTone.FRIENDLY) -> ResponseGenerator:
    """Obtenir l'instance globale du générateur de réponses."""
    global _response_generator
    if _response_generator is None:
        _response_generator = ResponseGenerator(tone=tone)
    return _response_generator


if __name__ == "__main__":
    # Tests rapides
    from .intent_parser import IntentParser

    parser = IntentParser()
    generator = ResponseGenerator()

    test_cases = [
        ("facturer client Acme", {"success": True, "workflow": "facturation", "params": {"client": "Acme"}}),
        ("liste des workflows", {"workflows": [{"name": "facturation", "description": "Facturer un client"}]}),
        ("aide", {}),
        ("statut", {"execution": {"running": True, "workflow": "test", "progress": 50, "message": "En cours"}}),
        ("blablabla inconnu", {}),
    ]

    print("=== Tests ResponseGenerator ===\n")
    for query, result in test_cases:
        intent = parser.parse(query)
        response = generator.generate(intent, {}, result)

        print(f"Query: {query}")
        print(f"Response: {response.message[:100]}...")
        print(f"Suggestions: {response.suggestions}")
        print()