"""RAG (Retrieval Augmented Generation) tools for {{ project_name }}."""

from typing import Any
import structlog
from mcp.types import Tool

logger = structlog.get_logger(__name__)


def get_rag_tools() -> list[Tool]:
    """Get list of RAG tools."""
    tools = [
        Tool(
            name="rag_index_document",
            description="Index a document for retrieval",
            inputSchema={
                "type": "object",
                "properties": {
                    "content": {"type": "string", "description": "Document content"},
                    "metadata": {"type": "object", "description": "Document metadata"},
                },
                "required": ["content"],
            },
        ),
        Tool(
            name="rag_search",
            description="Search indexed documents",
            inputSchema={
                "type": "object",
                "properties": {
                    "query": {"type": "string", "description": "Search query"},
                    "top_k": {"type": "integer", "description": "Number of results", "default": 5},
                },
                "required": ["query"],
            },
        ),
    ]
    return tools


async def execute_rag_tool(name: str, arguments: dict[str, Any]) -> str:
    """Execute a RAG tool."""
    if name == "rag_index_document":
        return await _index_document(arguments)
    elif name == "rag_search":
        return await _search_documents(arguments)
    raise ValueError(f"Unknown RAG tool: {name}")


async def _index_document(arguments: dict[str, Any]) -> str:
    """Index a document."""
    content = arguments["content"]
    metadata = arguments.get("metadata", {})
    # Implement indexing logic here
    logger.info("document_indexed", content_length=len(content))
    return f"Document indexed successfully (length: {len(content)})"


async def _search_documents(arguments: dict[str, Any]) -> str:
    """Search documents."""
    query = arguments["query"]
    top_k = arguments.get("top_k", 5)
    # Implement search logic here
    logger.info("documents_searched", query=query, top_k=top_k)
    return f"Search results for: {query}"