# File: src/noveler/application/bus_handlers.py
# Purpose: Standard command and event handlers for MessageBus
# Context: Implementation of common domain operations through MessageBus

"""Standard command and event handlers for MessageBus operations."""

from __future__ import annotations

import uuid
from datetime import datetime
from typing import Any

from noveler.application.uow import UnitOfWork


async def handle_check_quality(data: dict[str, Any], *, uow: UnitOfWork) -> dict[str, Any]:
    """Handle quality check command.

    Args:
        data: Command data containing content and check parameters
        uow: Unit of Work instance

    Returns:
        Quality check result
    """
    content = data.get("content", "")
    check_types = data.get("check_types", ["grammar", "readability"])
    target_score = data.get("target_score", 80.0)

    if not content.strip():
        return {"success": False, "error": "Content cannot be empty"}

    try:
        # Simulate quality check logic
        # In real implementation, this would use actual quality services
        scores = {}
        total_score = 0.0

        for check_type in check_types:
            if check_type == "grammar":
                # Simulate grammar check
                score = min(100.0, len(content.split()) * 2.5)  # Simple heuristic
                scores["grammar"] = score
            elif check_type == "readability":
                # Simulate readability check
                sentences = content.count(".") + content.count("!") + content.count("?")
                score = max(0.0, 100.0 - abs(sentences - len(content.split()) / 15) * 10)
                scores["readability"] = score
            elif check_type == "rhythm":
                # Simulate rhythm check
                score = 85.0  # Default good score
                scores["rhythm"] = score
            else:
                scores[check_type] = 75.0  # Default score

        total_score = sum(scores.values()) / len(scores) if scores else 0.0
        passed = total_score >= target_score

        result_id = str(uuid.uuid4())

        # Emit quality check event
        uow.add_event("quality.checked", {
            "content_id": result_id,
            "score": total_score,
            "check_types": check_types,
            "passed": passed,
            "issues": [] if passed else [{"type": "low_score", "description": f"Score {total_score:.1f} below target {target_score}"}],
            "detailed_scores": scores
        })

        return {
            "success": True,
            "result_id": result_id,
            "score": total_score,
            "passed": passed,
            "detailed_scores": scores,
            "target_score": target_score
        }

    except Exception as e:
        return {"success": False, "error": f"Quality check failed: {e}"}


async def handle_publish_episode(data: dict[str, Any], *, uow: UnitOfWork) -> dict[str, Any]:
    """Handle episode publication command.

    Args:
        data: Command data containing episode information
        uow: Unit of Work instance

    Returns:
        Publication result
    """
    episode_id = data.get("episode_id")
    format_type = data.get("format_type", "html")
    include_metadata = data.get("include_metadata", True)

    if not episode_id:
        return {"success": False, "error": "Episode ID is required"}

    try:
        # Simulate episode retrieval and publication
        # In real implementation, this would use episode repository

        # Check if episode exists (simulated)
        if not episode_id.startswith("ep-"):
            return {"success": False, "error": f"Episode not found: {episode_id}"}

        # Simulate publication process
        publication_id = f"pub-{uuid.uuid4().hex[:8]}"
        published_at = datetime.utcnow()

        # Emit publication event
        uow.add_event("episode.published", {
            "episode_id": episode_id,
            "publication_id": publication_id,
            "format_type": format_type,
            "published_at": published_at.isoformat(),
            "include_metadata": include_metadata
        })

        return {
            "success": True,
            "publication_id": publication_id,
            "episode_id": episode_id,
            "format_type": format_type,
            "published_at": published_at.isoformat()
        }

    except Exception as e:
        return {"success": False, "error": f"Publication failed: {e}"}


async def handle_update_plot(data: dict[str, Any], *, uow: UnitOfWork) -> dict[str, Any]:
    """Handle plot update command.

    Args:
        data: Command data containing plot information
        uow: Unit of Work instance

    Returns:
        Plot update result
    """
    plot_id = data.get("plot_id")
    episode_number = data.get("episode_number")
    plot_content = data.get("plot_content", "")
    consistency_check = data.get("consistency_check", True)

    if not plot_id:
        return {"success": False, "error": "Plot ID is required"}

    if not plot_content.strip():
        return {"success": False, "error": "Plot content cannot be empty"}

    try:
        # Simulate plot update logic
        # In real implementation, this would use plot repository

        word_count = len(plot_content.split())
        updated_at = datetime.utcnow()

        # Simulate consistency check if requested
        consistency_issues = []
        if consistency_check:
            if word_count < 50:
                consistency_issues.append({
                    "type": "length",
                    "description": "Plot content seems too short",
                    "severity": "warning"
                })
            if "..." in plot_content:
                consistency_issues.append({
                    "type": "incomplete",
                    "description": "Plot content appears incomplete",
                    "severity": "warning"
                })

        # Emit plot update event
        uow.add_event("plot.updated", {
            "plot_id": plot_id,
            "episode_number": episode_number,
            "word_count": word_count,
            "updated_at": updated_at.isoformat(),
            "consistency_checked": consistency_check,
            "consistency_issues": consistency_issues
        })

        return {
            "success": True,
            "plot_id": plot_id,
            "episode_number": episode_number,
            "word_count": word_count,
            "updated_at": updated_at.isoformat(),
            "consistency_issues": consistency_issues
        }

    except Exception as e:
        return {"success": False, "error": f"Plot update failed: {e}"}


async def handle_generate_plot(data: dict[str, Any], *, uow: UnitOfWork) -> dict[str, Any]:
    """Handle plot generation command.

    Args:
        data: Command data containing generation parameters
        uow: Unit of Work instance

    Returns:
        Plot generation result
    """
    episode_number = data.get("episode_number")
    chapter_title = data.get("chapter_title", "")
    target_length = data.get("target_length", 500)
    genre = data.get("genre", "general")
    use_ai_enhancement = data.get("use_ai_enhancement", True)

    if not episode_number or episode_number < 1:
        return {"success": False, "error": "Valid episode number is required"}

    try:
        # Simulate plot generation logic
        # In real implementation, this would use AI services and plot templates

        plot_id = f"plot-{episode_number}-{uuid.uuid4().hex[:8]}"
        generated_at = datetime.utcnow()

        # Simulate content generation based on parameters
        base_content = f"Plot outline for Episode {episode_number}"
        if chapter_title:
            base_content += f": {chapter_title}"

        # Simulate AI enhancement
        if use_ai_enhancement:
            enhanced_content = f"{base_content}\n\nAI-enhanced plot details with {genre} genre elements."
        else:
            enhanced_content = f"{base_content}\n\nBasic plot outline."

        # Adjust length to approximate target
        while len(enhanced_content.split()) < target_length / 5:  # Rough approximation
            enhanced_content += " Additional plot development."

        word_count = len(enhanced_content.split())

        # Emit plot generation event
        uow.add_event("plot.generated", {
            "plot_id": plot_id,
            "episode_number": episode_number,
            "word_count": word_count,
            "ai_enhanced": use_ai_enhancement,
            "genre": genre,
            "generated_at": generated_at.isoformat(),
            "chapter_title": chapter_title
        })

        return {
            "success": True,
            "plot_id": plot_id,
            "episode_number": episode_number,
            "content": enhanced_content,
            "word_count": word_count,
            "ai_enhanced": use_ai_enhancement,
            "generated_at": generated_at.isoformat()
        }

    except Exception as e:
        return {"success": False, "error": f"Plot generation failed: {e}"}


# Event handlers
async def handle_quality_checked_event(event) -> None:
    """Handle quality.checked event."""
    # In real implementation, this might:
    # - Send notifications
    # - Update dashboards
    # - Trigger follow-up actions


async def handle_episode_published_event(event) -> None:
    """Handle episode.published event."""
    # In real implementation, this might:
    # - Update publication records
    # - Send notifications to subscribers
    # - Update statistics


async def handle_plot_updated_event(event) -> None:
    """Handle plot.updated event."""
    # In real implementation, this might:
    # - Update related episodes
    # - Check consistency with story arc
    # - Notify editors


async def handle_plot_generated_event(event) -> None:
    """Handle plot.generated event."""
    # In real implementation, this might:
    # - Save to plot repository
    # - Trigger quality checks
    # - Update episode planning


# Handler registry
COMMAND_HANDLERS = {
    "check_quality": handle_check_quality,
    "publish_episode": handle_publish_episode,
    "update_plot": handle_update_plot,
    "generate_plot": handle_generate_plot,
}

EVENT_HANDLERS = {
    "quality.checked": [handle_quality_checked_event],
    "episode.published": [handle_episode_published_event],
    "plot.updated": [handle_plot_updated_event],
    "plot.generated": [handle_plot_generated_event],
}


def register_handlers(bus) -> None:
    """Register all handlers with the message bus.

    Args:
        bus: MessageBus instance to register handlers with
    """
    # Register command handlers
    for command_name, handler in COMMAND_HANDLERS.items():
        bus.command_handlers[command_name] = handler

    # Register event handlers
    for event_name, handlers in EVENT_HANDLERS.items():
        if event_name not in bus.event_handlers:
            bus.event_handlers[event_name] = []
        bus.event_handlers[event_name].extend(handlers)
