112 lines
5.5 KiB
Python
112 lines
5.5 KiB
Python
"""
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FILE: app/core/graph/graph_derive_edges.py
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DESCRIPTION: Hauptlogik zur Kanten-Aggregation und De-Duplizierung.
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"""
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from typing import List, Optional, Dict, Tuple
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from .graph_utils import (
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_get, _edge, _mk_edge_id, _dedupe_seq,
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PROVENANCE_PRIORITY, load_types_registry, get_edge_defaults_for
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)
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from .graph_extractors import (
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extract_typed_relations, extract_callout_relations, extract_wikilinks
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)
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def build_edges_for_note(
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note_id: str,
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chunks: List[dict],
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note_level_references: Optional[List[str]] = None,
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include_note_scope_refs: bool = False,
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) -> List[dict]:
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"""Erzeugt und aggregiert alle Kanten für eine Note (WP-15b)."""
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edges: List[dict] = []
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note_type = _get(chunks[0], "type") if chunks else "concept"
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# 1) Struktur-Kanten (belongs_to, next/prev)
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for idx, ch in enumerate(chunks):
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cid = _get(ch, "chunk_id", "id")
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if not cid: continue
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edges.append(_edge("belongs_to", "chunk", cid, note_id, note_id, {
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"chunk_id": cid, "edge_id": _mk_edge_id("belongs_to", cid, note_id, "chunk", "structure:belongs_to"),
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"provenance": "structure", "rule_id": "structure:belongs_to", "confidence": PROVENANCE_PRIORITY["structure:belongs_to"]
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}))
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if idx < len(chunks) - 1:
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next_id = _get(chunks[idx+1], "chunk_id", "id")
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if next_id:
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edges.append(_edge("next", "chunk", cid, next_id, note_id, {
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"chunk_id": cid, "edge_id": _mk_edge_id("next", cid, next_id, "chunk", "structure:order"),
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"provenance": "structure", "rule_id": "structure:order", "confidence": PROVENANCE_PRIORITY["structure:order"]
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}))
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edges.append(_edge("prev", "chunk", next_id, cid, note_id, {
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"chunk_id": next_id, "edge_id": _mk_edge_id("prev", next_id, cid, "chunk", "structure:order"),
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"provenance": "structure", "rule_id": "structure:order", "confidence": PROVENANCE_PRIORITY["structure:order"]
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}))
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# 2) Inhaltliche Kanten
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reg = load_types_registry()
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defaults = get_edge_defaults_for(note_type, reg)
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refs_all: List[str] = []
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for ch in chunks:
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cid = _get(ch, "chunk_id", "id")
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if not cid: continue
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raw = _get(ch, "window") or _get(ch, "text") or ""
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# Typed & Candidate Pool (WP-15b Integration)
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typed, rem = extract_typed_relations(raw)
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for k, t in typed:
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edges.append(_edge(k, "chunk", cid, t, note_id, {
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"chunk_id": cid, "edge_id": _mk_edge_id(k, cid, t, "chunk", "inline:rel"),
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"provenance": "explicit", "rule_id": "inline:rel", "confidence": PROVENANCE_PRIORITY["inline:rel"]
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}))
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pool = ch.get("candidate_pool") or ch.get("candidate_edges") or []
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for cand in pool:
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t, k, p = cand.get("to"), cand.get("kind", "related_to"), cand.get("provenance", "semantic_ai")
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if t:
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edges.append(_edge(k, "chunk", cid, t, note_id, {
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"chunk_id": cid, "edge_id": _mk_edge_id(k, cid, t, "chunk", f"candidate:{p}"),
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"provenance": p, "rule_id": f"candidate:{p}", "confidence": PROVENANCE_PRIORITY.get(p, 0.90)
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}))
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# Callouts & Wikilinks
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call_pairs, rem2 = extract_callout_relations(rem)
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for k, t in call_pairs:
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edges.append(_edge(k, "chunk", cid, t, note_id, {
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"chunk_id": cid, "edge_id": _mk_edge_id(k, cid, t, "chunk", "callout:edge"),
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"provenance": "explicit", "rule_id": "callout:edge", "confidence": PROVENANCE_PRIORITY["callout:edge"]
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}))
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refs = extract_wikilinks(rem2)
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for r in refs:
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edges.append(_edge("references", "chunk", cid, r, note_id, {
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"chunk_id": cid, "ref_text": r, "edge_id": _mk_edge_id("references", cid, r, "chunk", "explicit:wikilink"),
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"provenance": "explicit", "rule_id": "explicit:wikilink", "confidence": PROVENANCE_PRIORITY["explicit:wikilink"]
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}))
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for rel in defaults:
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if rel != "references":
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edges.append(_edge(rel, "chunk", cid, r, note_id, {
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"chunk_id": cid, "edge_id": _mk_edge_id(rel, cid, r, "chunk", f"edge_defaults:{rel}"),
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"provenance": "rule", "rule_id": f"edge_defaults:{rel}", "confidence": PROVENANCE_PRIORITY["edge_defaults"]
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}))
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refs_all.extend(refs)
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# 3) Note-Scope & De-Duplizierung
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if include_note_scope_refs:
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refs_note = _dedupe_seq((refs_all or []) + (note_level_references or []))
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for r in refs_note:
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edges.append(_edge("references", "note", note_id, r, note_id, {
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"edge_id": _mk_edge_id("references", note_id, r, "note", "explicit:note_scope"),
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"provenance": "explicit", "confidence": PROVENANCE_PRIORITY["explicit:note_scope"]
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}))
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edges.append(_edge("backlink", "note", r, note_id, note_id, {
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"edge_id": _mk_edge_id("backlink", r, note_id, "note", "derived:backlink"),
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"provenance": "rule", "confidence": PROVENANCE_PRIORITY["derived:backlink"]
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}))
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unique_map: Dict[Tuple[str, str, str], dict] = {}
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for e in edges:
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key = (str(e.get("source_id")), str(e.get("target_id")), str(e.get("kind")))
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if key not in unique_map or e.get("confidence", 0) > unique_map[key].get("confidence", 0):
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unique_map[key] = e
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return list(unique_map.values()) |