"""
FILE: app/core/ingestion/ingestion_chunk_payload.py
DESCRIPTION: Baut das JSON-Objekt für mindnet_chunks.
VERSION: 2.4.0
"""
from __future__ import annotations
from typing import Any, Dict, List, Optional

def _as_list(x):
    if x is None: return []
    return x if isinstance(x, list) else [x]

def make_chunk_payloads(note: Dict[str, Any], note_path: str, chunks_from_chunker: List[Any], **kwargs) -> List[Dict[str, Any]]:
    """Erstellt die Payloads für die Chunks eines Dokuments."""
    if isinstance(note, dict) and "frontmatter" in note: fm = note["frontmatter"]
    else: fm = note or {}

    note_type = fm.get("type") or "concept"
    title = fm.get("title") or fm.get("id") or "Untitled"
    tags = _as_list(fm.get("tags") or [])
    cp = fm.get("chunking_profile") or fm.get("chunk_profile") or "sliding_standard"
    rw = float(fm.get("retriever_weight", 1.0))

    out: List[Dict[str, Any]] = []
    for idx, ch in enumerate(chunks_from_chunker):
        text = getattr(ch, "text", "") or ch.get("text", "")
        pl: Dict[str, Any] = {
            "note_id": getattr(ch, "note_id", None) or fm.get("id"),
            "chunk_id": getattr(ch, "id", None),
            "title": title,
            "index": int(getattr(ch, "index", idx)),
            "ord": int(getattr(ch, "index", idx)) + 1,
            "type": note_type,
            "tags": tags,
            "text": text,
            "window": getattr(ch, "window", text),
            "neighbors_prev": _as_list(getattr(ch, "neighbors_prev", None)),
            "neighbors_next": _as_list(getattr(ch, "neighbors_next", None)),
            "section": getattr(ch, "section_title", "") or ch.get("section", ""),
            "path": note_path,
            "source_path": kwargs.get("file_path") or note_path,
            "retriever_weight": rw,
            "chunk_profile": cp
        }
        out.append(pl)
    return out