106 lines
4.2 KiB
Python
106 lines
4.2 KiB
Python
"""
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FILE: app/core/chunking/chunking_parser.py
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DESCRIPTION: Zerlegt Markdown in atomare Blöcke. Hält H1-Überschriften im Stream
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und extrahiert Kanten-Kandidaten (parse_edges_robust).
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"""
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import re
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from typing import List, Tuple, Set
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from .chunking_models import RawBlock
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from .chunking_utils import extract_frontmatter_from_text
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_WS = re.compile(r'\s+')
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_SENT_SPLIT = re.compile(r'(?<=[.!?])\s+(?=[A-ZÄÖÜ0-9„(])')
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def split_sentences(text: str) -> list[str]:
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"""Teilt Text in Sätze auf unter Berücksichtigung deutscher Interpunktion."""
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text = _WS.sub(' ', text.strip())
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if not text: return []
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# Splittet bei Punkt, Ausrufezeichen oder Fragezeichen, gefolgt von Leerzeichen und Großbuchstabe
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return [p.strip() for p in _SENT_SPLIT.split(text) if p.strip()]
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def parse_blocks(md_text: str) -> Tuple[List[RawBlock], str]:
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"""Zerlegt Text in logische Einheiten (RawBlocks), inklusive H1-H6."""
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blocks = []
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h1_title = "Dokument"; section_path = "/"; current_section_title = None
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fm, text_without_fm = extract_frontmatter_from_text(md_text)
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# H1 für Metadaten extrahieren
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h1_match = re.search(r'^#\s+(.*)', text_without_fm, re.MULTILINE)
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if h1_match:
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h1_title = h1_match.group(1).strip()
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lines = text_without_fm.split('\n')
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buffer = []
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for line in lines:
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stripped = line.strip()
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# Heading-Erkennung (H1 bis H6)
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heading_match = re.match(r'^(#{1,6})\s+(.*)', stripped)
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if heading_match:
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if buffer:
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content = "\n".join(buffer).strip()
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if content:
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blocks.append(RawBlock("paragraph", content, None, section_path, current_section_title))
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buffer = []
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level = len(heading_match.group(1))
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title = heading_match.group(2).strip()
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# Pfad- und Titel-Update
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if level == 1:
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current_section_title = title; section_path = "/"
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elif level == 2:
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current_section_title = title; section_path = f"/{current_section_title}"
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blocks.append(RawBlock("heading", stripped, level, section_path, current_section_title))
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continue
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# Trenner oder Leerzeilen beenden Blöcke, außer innerhalb von Callouts
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if (not stripped or stripped == "---") and not line.startswith('>'):
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if buffer:
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content = "\n".join(buffer).strip()
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if content:
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blocks.append(RawBlock("paragraph", content, None, section_path, current_section_title))
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buffer = []
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if stripped == "---":
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blocks.append(RawBlock("separator", "---", None, section_path, current_section_title))
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else:
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buffer.append(line)
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if buffer:
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content = "\n".join(buffer).strip()
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if content:
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blocks.append(RawBlock("paragraph", content, None, section_path, current_section_title))
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return blocks, h1_title
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def parse_edges_robust(text: str) -> Set[str]:
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"""Extrahiert Kanten-Kandidaten aus Wikilinks und Callouts."""
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found_edges = set()
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# 1. Wikilinks [[rel:kind|target]]
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inlines = re.findall(r'\[\[rel:([^\|\]]+)\|?([^\]]*)\]\]', text)
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for kind, target in inlines:
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k = kind.strip().lower()
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t = target.strip()
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if k and t: found_edges.add(f"{k}:{t}")
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# 2. Callout Edges > [!edge] kind
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lines = text.split('\n')
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current_edge_type = None
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for line in lines:
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stripped = line.strip()
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callout_match = re.match(r'>\s*\[!edge\]\s*([^:\s]+)', stripped)
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if callout_match:
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current_edge_type = callout_match.group(1).strip().lower()
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links = re.findall(r'\[\[([^\]]+)\]\]', stripped)
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for l in links:
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if "rel:" not in l: found_edges.add(f"{current_edge_type}:{l}")
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continue
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if current_edge_type and stripped.startswith('>'):
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links = re.findall(r'\[\[([^\]]+)\]\]', stripped)
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for l in links:
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if "rel:" not in l: found_edges.add(f"{current_edge_type}:{l}")
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elif not stripped.startswith('>'):
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current_edge_type = None
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return found_edges |