Sync DeepSeek OCR HF job code

ds_batch_ocr/config.py

@@ -32,7 +32,8 @@ class DocumentMetadata:
     document_markdown_text: str
     document_final_markdown_path: Optional[str] = None
     document_final_markdown_text: Optional[str] = None
-    extracted_figures: List[FigureMetadata] = field(default_factory=list)
+    extracted_figures: List[str] = field(default_factory=list)
+    extracted_figures_metadata: List[FigureMetadata] = field(default_factory=list)
 
 
 @dataclass

ds_batch_ocr/stages.py

@@ -312,21 +312,33 @@ def run_stage_extract(settings: ExtractSettings) -> None:
 
                 #write document with boxes image to file
                 img_draw.save(ctx["sample_dir"] / "document_with_boxes.png")
-
-                #build document metadata
+                
                 doc_metadata = DocumentMetadata(
                     sample_id=ctx["sample_id"],
                     dataset_index=ctx["dataset_index"],
-                    document_path=(Path(ctx["sample_id"]) / "document.md").as_posix(),
-                    raw_response_path=(Path(ctx["sample_id"]) / "raw_response.md").as_posix(),
-                    source_image_path=(Path(ctx["sample_id"]) / "source.png").as_posix(),
-                    document_with_boxes_path=(Path(ctx["sample_id"]) / "document_with_boxes.png").as_posix(),
+                    document_path=document_path,
+                    raw_response_path=raw_response_path,
+                    source_image_path=ctx["sample_dir"] / "source.png",
+                    document_with_boxes_path=ctx["sample_dir"] / "document_with_boxes.png",
                     document_markdown_text=markdown,
-                    document_final_markdown_path="",
-                    document_final_markdown_text="",
                     extracted_figures=figures,
+                    extracted_figures_metadata=figures_metadata,
+                )
+
+                #build document metadata
+                batch_document_dicts.append(
+                    {
+                        "sample_id": ctx["sample_id"],
+                        "dataset_index": ctx["dataset_index"],
+                        "document_path": document_path,
+                        "raw_response_path": raw_response_path,
+                        "source_image_path": ctx["sample_dir"] / "source.png",
+                        "document_with_boxes_path": ctx["sample_dir"] / "document_with_boxes.png",
+                        "document_markdown_text": markdown,
+                        "extracted_figures": [figure.image_path for figure in figures],
+                        "extracted_figures_metadata": [figure.to_dict() for figure in figures],
+                    }
                 )
-                batch_document_dicts.append(dataclass_to_dict(doc_metadata))
 
                 LOGGER.debug(
                     "Processed sample %s | figures=%s | markdown_chars=%s",