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/__init__.py

@@ -1,4 +1,4 @@
-from .extractor import get_screenshots
 from .batch_processor import extract_text
+from .extractor import get_screenshots
 
 __all__ = ["get_screenshots", "extract_text"]

kg_ocr/ocr/batch_processor.py

@@ -1,5 +1,5 @@
-from PIL import Image
 import pytesseract
+from PIL import Image
 
 
 def extract_text(images: list[str]) -> list[str]:

kg_ocr/ocr/constants.py

@@ -1,7 +1,5 @@
 from pathlib import Path
 
-import platform
-
 def_paths = {
     "Darwin": Path.home() / "Desktop",
     "Windows": Path.home() / "Pictures" / "Screenshots",

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())