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Deploy mindnet to llm-node / deploy (push) Successful in 2s
38 lines
1.4 KiB
Python
38 lines
1.4 KiB
Python
from __future__ import annotations
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from typing import Dict, List
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from .chunker import Chunk
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from .parser import extract_wikilinks
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def make_chunk_payloads(note_meta: Dict, path: str, chunks: List[Chunk]) -> List[Dict]:
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res = []
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for ch in chunks:
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wikilinks = extract_wikilinks(ch.text)
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payload = {
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"id": ch.id,
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"note_id": note_meta["id"],
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"note_title": note_meta["title"],
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"chunk_index": ch.index,
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"char_start": ch.char_start,
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"char_end": ch.char_end,
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"token_count": ch.token_count,
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"type": note_meta.get("type"),
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"area": note_meta.get("area"),
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"project": note_meta.get("project"),
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"tags": note_meta.get("tags", []),
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"section_title": ch.section_title,
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"section_path": ch.section_path,
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"lang": note_meta.get("lang"),
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"wikilinks": wikilinks,
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"external_links": [], # (optional später ergänzen)
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"references": [{"target_id": w, "kind": "wikilink"} for w in wikilinks],
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"neighbors": {
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"prev": ch.neighbors_prev,
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"next": ch.neighbors_next
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},
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"path": path,
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}
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# None/Leere bereinigen
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payload = {k: v for k, v in payload.items() if v not in (None, [], {})}
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res.append(payload)
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return res
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