kg: graph build, traversal queries, neo4j export - kg_ocr.graph builds a networkx graph (docs, chunks, entities, citations, co-occurrence) from chunk markdown - analyzer for summaries, top entities/citations, anomaly checks - traversal: chunks_for_entity/citation, related_entities, expand_context - export: JSON round-trip, GraphML, batched MERGE into neo4j - new CLI: ocr-pipeline kg build|stats|query|export - lazy kg_ocr imports, networkx/neo4j behind extras - dropped dead watch.py shim, added KgConfig stub - trimmed README, updated TODO

kg_ocr/ocr/extractor.py

@@ -1,11 +1,10 @@
 import platform
 from pathlib import Path
-from typing import Optional
 
 from .constants import def_paths, sc_pathpatterns
 
 
-def get_screenshots(path: Optional[str | Path] = None) -> list[str]:
+def get_screenshots(path: str | Path | None = None) -> list[str]:
     """Find screenshot files for the current OS."""
     if path is None:
         path = def_paths.get(platform.system(), Path.home())