"""Context7 Manager Stub

Context7 통합을 위한 stub 모듈.
실제 구현은 services/context7_service.py 또는 trinity_os를 사용합니다.

Trinity Score: 85.0 (Placeholder)
"""

from __future__ import annotations

import logging
from typing import Any

logger = logging.getLogger(__name__)


class Context7Manager:
    """Context7 Manager Stub

    향후 trinity_os.servers.context7_mcp.Context7MCP와 통합 예정.
    현재는 placeholder로 동작합니다.
    """

    def __init__(self) -> None:
        logger.debug("Context7Manager initialized (stub)")

    async def get_relevant_context(self, query: str, **kwargs: Any) -> list[dict[str, str]]:
        """Get relevant context from Context7 knowledge base (Via RAG Service).

        Args:
            query: Search query
            **kwargs: Additional parameters

        Returns:
            List of relevant context items
        """
        logger.debug(f"Context7Manager.get_relevant_context called with: {query[:50]}...")

        try:
            # Use RAG Service to search Vector Memory

            # Since RAGService.ask does retrieval + answer, we just want retrieval here if possible.
            # But RAGService.ask is high level. Let's look at vector_memory_service directly
            # OR better, use RAGService logic if it exposed retrieval.
            # Looking at RAGService, it has self.memory.search.
            # Let's use vector_memory_service directly for 'raw context' or add retrieval to RAGService.
            # Plan said: "return await rag_service.search(query)" - wait, rag_service has .ask().
            # vector_memory_service has .search().
            # Let's use vector_memory_service for pure context retrieval.
            from AFO.services.vector_memory_service import vector_memory_service

            results = await vector_memory_service.search(query, n_results=kwargs.get("limit", 5))

            # Transform to expected format
            context_items = []
            for res in results:
                context_items.append(
                    {
                        "content": res.get("text", ""),
                        "source": res.get("metadata", {}).get("filename", "unknown"),
                        "score": str(res.get("distance", 0.0)),
                    }
                )
            return context_items

        except Exception as e:
            logger.error(f"Context7 Retrieval Failed: {e}")
            return []

    async def search(self, query: str, limit: int = 10) -> list[dict[str, Any]]:
        """Search Context7 knowledge base.

        Args:
            query: Search query
            limit: Maximum results

        Returns:
            Search results
        """
        # Re-use get_relevant_context logic
        return await self.get_relevant_context(query, limit=limit)


__all__ = ["Context7Manager"]
