|
| 1 | +from typing import Any, Dict, List |
| 2 | + |
| 3 | +import rdflib |
| 4 | +from rdflib import Literal |
| 5 | +from rdflib.util import guess_format |
| 6 | + |
| 7 | +from graphgen.bases.base_reader import BaseReader |
| 8 | + |
| 9 | + |
| 10 | +class RDFReader(BaseReader): |
| 11 | + """ |
| 12 | + Reader for RDF files that extracts triples and represents them as dictionaries. |
| 13 | + """ |
| 14 | + |
| 15 | + def read(self, file_path: str) -> List[Dict[str, Any]]: |
| 16 | + g = rdflib.Graph() |
| 17 | + fmt = guess_format(file_path) |
| 18 | + try: |
| 19 | + g.parse(file_path, format=fmt) |
| 20 | + except Exception as e: |
| 21 | + raise ValueError(f"Cannot parse RDF file {file_path}: {e}") from e |
| 22 | + |
| 23 | + docs: List[Dict[str, Any]] = [] |
| 24 | + text_col = self.text_column |
| 25 | + |
| 26 | + for subj in set(g.subjects()): |
| 27 | + literals = [] |
| 28 | + props = {} |
| 29 | + for _, pred, obj in g.triples((subj, None, None)): |
| 30 | + pred_str = str(pred) |
| 31 | + if isinstance(obj, Literal): |
| 32 | + literals.append(str(obj)) |
| 33 | + props.setdefault(pred_str, []).append(str(obj)) |
| 34 | + |
| 35 | + text = " ".join(literals).strip() |
| 36 | + if not text: |
| 37 | + raise ValueError( |
| 38 | + f"Subject {subj} has no literal values; " |
| 39 | + f"missing '{text_col}' for text column." |
| 40 | + ) |
| 41 | + |
| 42 | + doc = {"id": str(subj), text_col: text, "properties": props} |
| 43 | + docs.append(doc) |
| 44 | + |
| 45 | + if not docs: |
| 46 | + raise ValueError("RDF file contains no valid documents.") |
| 47 | + |
| 48 | + return self.filter(docs) |
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