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36425a4 bbafb55 36425a4 bbafb55 36425a4 bbafb55 36425a4 bbafb55 36425a4 bbafb55 36425a4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | import markdown
import re
from typing import List, Dict, Any
def strip_frontmatter(content: str) -> str:
"""Remove YAML frontmatter (---...---) from markdown content."""
return re.sub(r'^---\s*\n.*?\n---\s*\n', '', content, flags=re.DOTALL)
def semantic_chunking(markdown_content: str, min_tokens: int = 100, max_tokens: int = 512, overlap_tokens: int = 50) -> List[Dict[str, Any]]:
content = strip_frontmatter(markdown_content)
chunks = []
paragraphs = content.split('\n\n')
current_chunk_content = ""
current_heading = "Introduction"
for paragraph in paragraphs:
if paragraph.strip().startswith('#'):
current_heading = paragraph.strip().lstrip('#').strip()
paragraph_tokens = len(paragraph.split())
if len(current_chunk_content.split()) + paragraph_tokens > max_tokens:
if current_chunk_content.strip():
chunks.append({
"content": current_chunk_content.strip(),
"metadata": {"source": "unknown", "heading": current_heading}
})
current_chunk_content = paragraph
else:
current_chunk_content += "\n\n" + paragraph
if current_chunk_content.strip():
chunks.append({
"content": current_chunk_content.strip(),
"metadata": {"source": "unknown", "heading": current_heading}
})
return chunks
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