import logging
import uuid
from qdrant_client import QdrantClient
from qdrant_client.models import Distance, VectorParams, PointStruct, Filter, FieldCondition, MatchValue
from config import settings

logger = logging.getLogger(__name__)


class VectorStore:
    def __init__(self):
        self.client = None
        self.collection = settings.QDRANT_COLLECTION  # "tk_qc_issues"

    def initialize(self):
        self.client = QdrantClient(url=settings.QDRANT_URL)
        self._ensure_collection()

    def _ensure_collection(self):
        collections = [c.name for c in self.client.get_collections().collections]
        if self.collection not in collections:
            # bge-m3 기본 출력 = 1024 dims
            self.client.create_collection(
                collection_name=self.collection,
                vectors_config=VectorParams(size=1024, distance=Distance.COSINE),
            )

    @staticmethod
    def _to_uuid(doc_id) -> str:
        """문자열/정수 ID → UUID5 변환 (Qdrant 호환)"""
        return str(uuid.uuid5(uuid.NAMESPACE_URL, str(doc_id)))

    def upsert(
        self,
        doc_id: str,
        document: str,
        embedding: list[float],
        metadata: dict = None,
    ):
        point_id = self._to_uuid(doc_id)
        payload = {"document": document, "original_id": str(doc_id)}
        if metadata:
            payload.update(metadata)
        self.client.upsert(
            collection_name=self.collection,
            points=[PointStruct(id=point_id, vector=embedding, payload=payload)],
        )

    def query(
        self,
        embedding: list[float],
        n_results: int = 5,
        where: dict = None,
    ) -> list[dict]:
        query_filter = self._build_filter(where) if where else None
        try:
            response = self.client.query_points(
                collection_name=self.collection,
                query=embedding,
                limit=n_results,
                query_filter=query_filter,
                with_payload=True,
            )
        except Exception as e:
            logger.error(f"Qdrant search failed: {e}", exc_info=True)
            return []

        items = []
        for hit in response.points:
            payload = hit.payload or {}
            item = {
                "id": payload.get("original_id", str(hit.id)),
                "document": payload.get("document", ""),
                "distance": round(1 - hit.score, 4),  # cosine score → distance
                "metadata": {k: v for k, v in payload.items() if k not in ("document", "original_id")},
                "similarity": round(hit.score, 4),
            }
            items.append(item)
        return items

    @staticmethod
    def _build_filter(where: dict) -> Filter:
        """ChromaDB 스타일 where 조건 → Qdrant Filter 변환"""
        conditions = []
        for key, value in where.items():
            conditions.append(FieldCondition(key=key, match=MatchValue(value=value)))
        return Filter(must=conditions)

    def delete(self, doc_id: str):
        point_id = self._to_uuid(doc_id)
        self.client.delete(
            collection_name=self.collection,
            points_selector=[point_id],
        )

    def count(self) -> int:
        info = self.client.get_collection(collection_name=self.collection)
        return info.points_count

    def stats(self) -> dict:
        return {
            "total_documents": self.count(),
            "collection_name": self.collection,
        }


vector_store = VectorStore()