ai / backend /chunking /generic_chunker.py
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from pathlib import Path
from backend.database.schemas import Chunk
def chunk_generic_file(path: Path, repo_root: Path, repo_id: str) -> list[Chunk]:
text = path.read_text(encoding="utf-8", errors="ignore")
lines = text.splitlines()
rel = path.relative_to(repo_root).as_posix()
return [
Chunk(
id=f"{repo_id}:{rel}:1",
repo_id=repo_id,
path=rel,
language=path.suffix.lower().lstrip(".") or "text",
start_line=1,
end_line=max(1, len(lines)),
content=text,
)
]