Writer MCP

"""Character management tools for Writer MCP."""

from typing import Any, Dict, List, Optional

from mcp.types import CallToolRequest, Tool, TextContent

from ..database.connection import DatabaseConnection
from ..utils.logger import get_logger


logger = get_logger(__name__)


def get_character_tools() -> List[Tool]:
    """Get list of available character management tools."""
    return [
        Tool(
            name="create_character",
            description="Create a new character in the knowledge base",
            inputSchema={
                "type": "object",
                "properties": {
                    "name": {
                        "type": "string",
                        "description": "Character name"
                    },
                    "description": {
                        "type": "string",
                        "description": "Character description"
                    },
                    "tags": {
                        "type": "array",
                        "items": {"type": "string"},
                        "description": "Character tags"
                    }
                },
                "required": ["name", "description"]
            }
        ),
        Tool(
            name="search_characters",
            description="Search for characters using semantic or text search",
            inputSchema={
                "type": "object",
                "properties": {
                    "query": {
                        "type": "string",
                        "description": "Search query"
                    },
                    "limit": {
                        "type": "integer",
                        "description": "Maximum number of results",
                        "default": 10
                    }
                },
                "required": ["query"]
            }
        ),
        Tool(
            name="add_character_fact",
            description="Add a knowledge fact about a character",
            inputSchema={
                "type": "object",
                "properties": {
                    "character_id": {
                        "type": "integer",
                        "description": "Character ID"
                    },
                    "fact_type": {
                        "type": "string",
                        "description": "Type of fact (appearance, personality, background, etc.)"
                    },
                    "content": {
                        "type": "string",
                        "description": "Fact content"
                    }
                },
                "required": ["character_id", "fact_type", "content"]
            }
        ),
        Tool(
            name="search_facts",
            description="Search for character facts",
            inputSchema={
                "type": "object",
                "properties": {
                    "query": {
                        "type": "string",
                        "description": "Search query"
                    },
                    "character_id": {
                        "type": "integer",
                        "description": "Optional character ID to filter by"
                    },
                    "fact_type": {
                        "type": "string",
                        "description": "Optional fact type to filter by"
                    },
                    "limit": {
                        "type": "integer",
                        "description": "Maximum number of results",
                        "default": 10
                    }
                },
                "required": ["query"]
            }
        ),
        Tool(
            name="generate_character_tags",
            description="Generate tags for a character using AI",
            inputSchema={
                "type": "object",
                "properties": {
                    "character_id": {
                        "type": "integer",
                        "description": "Character ID"
                    }
                },
                "required": ["character_id"]
            }
        ),
        Tool(
            name="analyze_character_relationships",
            description="Analyze relationships between characters using AI",
            inputSchema={
                "type": "object",
                "properties": {
                    "character_ids": {
                        "type": "array",
                        "items": {"type": "integer"},
                        "description": "List of character IDs to analyze"
                    }
                },
                "required": ["character_ids"]
            }
        )
    ]


async def handle_tool_call(
    request: CallToolRequest, 
    db: Optional[DatabaseConnection]
) -> List[TextContent]:
    """Handle tool calls for character management."""
    if not db:
        return [TextContent(type="text", text="Database not available")]
        
    try:
        if request.name == "create_character":
            return await create_character(request.arguments, db)
        elif request.name == "search_characters":
            return await search_characters(request.arguments, db)
        elif request.name == "add_character_fact":
            return await add_character_fact(request.arguments, db)
        elif request.name == "search_facts":
            return await search_facts(request.arguments, db)
        elif request.name == "generate_character_tags":
            return await generate_character_tags(request.arguments, db)
        elif request.name == "analyze_character_relationships":
            return await analyze_character_relationships(request.arguments, db)
        else:
            return [TextContent(type="text", text=f"Unknown tool: {request.name}")]
            
    except Exception as e:
        logger.error(f"Error in tool {request.name}: {e}")
        return [TextContent(type="text", text=f"Error: {str(e)}")]


async def create_character(
    args: Dict[str, Any], 
    db: DatabaseConnection
) -> List[TextContent]:
    """Create a new character."""
    # TODO: Implement character creation
    return [TextContent(
        type="text", 
        text="Character creation not yet implemented"
    )]


async def search_characters(
    args: Dict[str, Any], 
    db: DatabaseConnection
) -> List[TextContent]:
    """Search for characters."""
    # TODO: Implement character search
    return [TextContent(
        type="text", 
        text="Character search not yet implemented"
    )]


async def add_character_fact(
    args: Dict[str, Any], 
    db: DatabaseConnection
) -> List[TextContent]:
    """Add a fact about a character."""
    # TODO: Implement fact addition
    return [TextContent(
        type="text", 
        text="Fact addition not yet implemented"
    )]


async def search_facts(
    args: Dict[str, Any], 
    db: DatabaseConnection
) -> List[TextContent]:
    """Search for character facts."""
    # TODO: Implement fact search
    return [TextContent(
        type="text", 
        text="Fact search not yet implemented"
    )]


async def generate_character_tags(
    args: Dict[str, Any], 
    db: DatabaseConnection
) -> List[TextContent]:
    """Generate tags for a character using AI."""
    # TODO: Implement AI tag generation
    return [TextContent(
        type="text", 
        text="Tag generation not yet implemented"
    )]


async def analyze_character_relationships(
    args: Dict[str, Any], 
    db: DatabaseConnection
) -> List[TextContent]:
    """Analyze character relationships using AI."""
    # TODO: Implement relationship analysis
    return [TextContent(
        type="text", 
        text="Relationship analysis not yet implemented"
    )]