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69 lines
2.5 KiB
Python
69 lines
2.5 KiB
Python
import asyncio
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import os
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import sys
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from pathlib import Path
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# Pfad-Setup
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sys.path.insert(0, os.path.abspath("."))
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from app.core.chunker import assemble_chunks, _extract_all_edges_from_md
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from app.core.derive_edges import build_edges_for_note
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# Mock für Settings, falls nötig
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os.environ["MINDNET_LLM_MODEL"] = "phi3:mini"
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async def analyze_file(file_path: str):
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print(f"\n=== ANALYSE: {file_path} ===")
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with open(file_path, "r", encoding="utf-8") as f:
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text = f.read()
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# 1. Globale Kandidaten (Was sieht der Pre-Scan?)
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# Wir simulieren den Aufruf, den der Chunker macht
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note_id = Path(file_path).stem
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candidates = _extract_all_edges_from_md(text, note_id, "concept")
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print(f"\n[1] Globale Kandidaten (Pre-Scan):")
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for c in candidates:
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print(f" - {c}")
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# 2. Chunking (Ohne Smart Edges erstmal, um die physische Integrität zu prüfen)
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# Wir nutzen ein Profil, das dem User-Setup entspricht
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config = {
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"strategy": "sliding_window",
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"target": 400,
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"max": 600,
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"overlap": 50,
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"enable_smart_edge_allocation": False # Erstmal aus
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}
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chunks = await assemble_chunks(note_id, text, "concept", config=config)
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print(f"\n[2] Chunk-Struktur & Physische Kanten:")
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for i, chunk in enumerate(chunks):
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print(f"\n--- Chunk {i} (Section: {chunk.section_path}) ---")
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print(f"Snippet: {chunk.text[:50]}...")
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# Was findet derive_edges in diesem rohen Chunk?
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# Wir simulieren das Payload-Dict, das derive_edges erwartet
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chunk_pl = {"text": chunk.text, "window": chunk.window, "chunk_id": chunk.id}
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edges = build_edges_for_note(note_id, [chunk_pl])
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found_explicitly = [f"{e['kind']}:{e.get('target_id')}" for e in edges if e['rule_id'] in ['callout:edge', 'inline:rel']]
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if found_explicitly:
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print(f" ✅ Gefundene Explizite Kanten: {found_explicitly}")
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else:
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print(f" ❌ Keine expliziten Kanten gefunden (trotz Callout im Text?)")
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# Check auf Callout im Text
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if "> [!edge]" in chunk.text:
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print(" ℹ️ HINWEIS: '> [!edge]' String ist im Text vorhanden!")
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if __name__ == "__main__":
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# Pfad zu deiner problematischen Datei hier anpassen!
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target_file = "./vault_master/Dein_Problematisches_File.md"
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if len(sys.argv) > 1:
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target_file = sys.argv[1]
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asyncio.run(analyze_file(target_file)) |