from __future__ import annotations
import uuid
from typing import List, Tuple
from qdrant_client.http import models as rest


def _names(prefix: str) -> Tuple[str, str, str]:
    return f"{prefix}_notes", f"{prefix}_chunks", f"{prefix}_edges"


def _to_uuid(stable_key: str) -> str:
    """Stabile UUIDv5 aus einem String-Key (deterministisch)."""
    return str(uuid.uuid5(uuid.NAMESPACE_URL, stable_key))


def points_for_note(
    prefix: str,
    note_payload: dict,
    note_vec: List[float] | None,
    dim: int,
) -> Tuple[str, List[rest.PointStruct]]:
    """Notes-Collection: falls kein Note-Embedding -> Nullvektor der Länge dim."""
    notes_col, _, _ = _names(prefix)
    vector = note_vec if note_vec is not None else [0.0] * int(dim)
    # Qdrant-Point-ID MUSS int/UUID sein
    raw_note_id = note_payload.get("note_id") or note_payload.get("id") or "missing-note-id"
    point_id = _to_uuid(raw_note_id)
    pt = rest.PointStruct(id=point_id, vector=vector, payload=note_payload)
    return notes_col, [pt]


def points_for_chunks(
    prefix: str,
    chunk_payloads: List[dict],
    vectors: List[List[float]],
) -> Tuple[str, List[rest.PointStruct]]:
    """
    Chunks-Collection: erwartet pro Chunk einen Vektor.
    Robustheit:
      - Fehlt 'chunk_id', nutze 'id', sonst baue '${note_id}#${i}' (1-basiert).
      - Schreibe die abgeleitete ID zurück in die Payload (pl['chunk_id']).
    """
    _, chunks_col, _ = _names(prefix)
    points: List[rest.PointStruct] = []
    for i, (pl, vec) in enumerate(zip(chunk_payloads, vectors), start=1):
        chunk_id = pl.get("chunk_id") or pl.get("id")
        if not chunk_id:
            note_id = pl.get("note_id") or pl.get("parent_note_id") or "missing-note"
            chunk_id = f"{note_id}#{i}"
            pl["chunk_id"] = chunk_id  # persistenter Fallback in Payload
        point_id = _to_uuid(chunk_id)
        points.append(rest.PointStruct(id=point_id, vector=vec, payload=pl))
    return chunks_col, points


def points_for_edges(prefix: str, edge_payloads: List[dict]) -> Tuple[str, List[rest.PointStruct]]:
    """
    Edges-Collection mit 1D-Dummy-Vektor.
    - Fehlt 'edge_id', konstruieren wir eine stabile ID aus (kind, source_id, target_id, seq).
    - vector=[0.0] erfüllt die Client-Validierung.
    """
    _, _, edges_col = _names(prefix)
    points: List[rest.PointStruct] = []
    for pl in edge_payloads:
        edge_id = pl.get("edge_id")
        if not edge_id:
            kind = pl.get("kind", "edge")
            s = pl.get("source_id", "unknown-src")
            t = pl.get("target_id", "unknown-tgt")
            seq = pl.get("seq") or pl.get("order") or ""
            edge_id = f"{kind}:{s}->{t}#{seq}"
            pl["edge_id"] = edge_id
        point_id = _to_uuid(edge_id)
        points.append(rest.PointStruct(id=point_id, vector=[0.0], payload=pl))
    return edges_col, points




def upsert_batch(client, collection: str, points: List[rest.PointStruct]) -> None:
    if not points:
        return
    client.upsert(collection_name=collection, points=points, wait=True)