ReMe/reme2/component/file_parser/bare_file_parser.py
huangsen b72690d954 feat: add Neo4j backend and refactor file graph architecture
- add neo4j dependency to project requirements
- introduce NetworkXFileGraph to replace LocalFileGraph implementation
- rename local_file_graph.py to networkx_file_graph.py with updated
  component registration as 'networkx'
- remove pickle persistence logic from NetworkX backend, simplify
  initialization
- update Neo4jFileGraph to return FileLink objects instead of
  (FileNode, FileLink) tuples from get_inlinks/get_outlinks methods
- remove unused AsyncIterator import and adjust method signatures
- add BareFileParser for handling binary/attachment files without
  content parsing
- move wikilink resolution utilities to dedicated utility module
- refactor memory I/O to use file graph's link resolution methods
  directly
- remove link extraction utilities from schema module, consolidate
  in utils.wikilink_resolver
2026-05-14 19:46:18 +08:00

31 lines
964 B
Python

"""
BareFileParser — stat-only node for non-text files (attachments).
"""
from pathlib import Path
from .base_file_parser import BaseFileParser
from ..component_registry import R
from ...schema import FileChunk, FileNode
@R.register("bare")
class BareFileParser(BaseFileParser):
"""Stat-only parser for attachment/binary files.
No content read, no chunking, no link extraction. The resulting
``FileNode`` has empty ``links`` and ``chunk_ids``; ``front_matter``
carries ``mime`` and ``size`` as extras so retrieval can filter by
file type without reopening the file.
"""
async def parse(self, path: str | Path) -> tuple[FileNode, list[FileChunk]]:
file_path = Path(path)
stat = file_path.stat()
rel_path = self._get_relative_path(path)
node = FileNode(
path=rel_path,
st_mtime=stat.st_mtime,
links=[],
chunk_ids=[],
)
return node, []