feat: Page-level error reporting from PDF backend

docling/backend/abstract_backend.py

@@ -7,8 +7,6 @@
 
 
 class PdfPageBackend(ABC):
-    def __init__(self, page_obj: Any) -> object:
-        pass
 
     @abstractmethod
     def get_text_in_rect(self, bbox: "BoundingBox") -> str:
@@ -32,6 +30,10 @@ def get_page_image(
     def get_size(self) -> "PageSize":
         pass
 
+    @abstractmethod
+    def is_valid(self) -> bool:
+        pass
+
     @abstractmethod
     def unload(self):
         pass

docling/backend/docling_parse_backend.py

@@ -19,22 +19,23 @@ class DoclingParsePageBackend(PdfPageBackend):
     def __init__(
         self, parser: pdf_parser, document_hash: str, page_no: int, page_obj: PdfPage
     ):
-        super().__init__(page_obj)
         self._ppage = page_obj
-
         parsed_page = parser.parse_pdf_from_key_on_page(document_hash, page_no)
 
         self._dpage = None
-        self.broken_page = "pages" not in parsed_page
-        if not self.broken_page:
+        self.valid = "pages" in parsed_page
+        if self.valid:
             self._dpage = parsed_page["pages"][0]
         else:
-            raise RuntimeError(
-                f"Page {page_no} of document {document_hash} could not be parsed."
+            _log.info(
+                f"An error occured when loading page {page_no} of document {document_hash}."
             )
 
+    def is_valid(self) -> bool:
+        return self.valid
+
     def get_text_in_rect(self, bbox: BoundingBox) -> str:
-        if self.broken_page:
+        if not self.valid:
             return ""
         # Find intersecting cells on the page
         text_piece = ""
@@ -70,7 +71,7 @@ def get_text_cells(self) -> Iterable[Cell]:
         cells = []
         cell_counter = 0
 
-        if self.broken_page:
+        if not self.valid:
             return cells
 
         page_size = self.get_size()
@@ -201,7 +202,9 @@ def __init__(self, path_or_stream: Union[BytesIO, Path], document_hash: str):
             success = self.parser.load_document(document_hash, str(path_or_stream))
 
         if not success:
-            raise RuntimeError("docling-parse could not load this document.")
+            raise RuntimeError(
+                f"docling-parse could not load document {document_hash}."
+            )
 
     def page_count(self) -> int:
         return len(self._pdoc)  # To be replaced with docling-parse API

docling/backend/pypdfium2_backend.py

@@ -1,3 +1,4 @@
+import logging
 import random
 from io import BytesIO
 from pathlib import Path
@@ -7,17 +8,32 @@
 import pypdfium2.raw as pdfium_c
 from PIL import Image, ImageDraw
 from pypdfium2 import PdfPage
+from pypdfium2._helpers.misc import PdfiumError
 
 from docling.backend.abstract_backend import PdfDocumentBackend, PdfPageBackend
 from docling.datamodel.base_models import BoundingBox, Cell, CoordOrigin, PageSize
 
+_log = logging.getLogger(__name__)
+
 
 class PyPdfiumPageBackend(PdfPageBackend):
-    def __init__(self, page_obj: PdfPage):
-        super().__init__(page_obj)
-        self._ppage = page_obj
+    def __init__(
+        self, pdfium_doc: pdfium.PdfDocument, document_hash: str, page_no: int
+    ):
+        self.valid = True  # No better way to tell from pypdfium.
+        try:
+            self._ppage: pdfium.PdfPage = pdfium_doc[page_no]
+        except PdfiumError as e:
+            _log.info(
+                f"An exception occured when loading page {page_no} of document {document_hash}.",
+                exc_info=True,
+            )
+            self.valid = False
         self.text_page = None
 
+    def is_valid(self) -> bool:
+        return self.valid
+
     def get_bitmap_rects(self, scale: int = 1) -> Iterable[BoundingBox]:
         AREA_THRESHOLD = 32 * 32
         for obj in self._ppage.get_objects(filter=[pdfium_c.FPDF_PAGEOBJ_IMAGE]):
@@ -217,13 +233,18 @@ def unload(self):
 class PyPdfiumDocumentBackend(PdfDocumentBackend):
     def __init__(self, path_or_stream: Union[BytesIO, Path], document_hash: str):
         super().__init__(path_or_stream, document_hash)
-        self._pdoc = pdfium.PdfDocument(path_or_stream)
+        try:
+            self._pdoc = pdfium.PdfDocument(path_or_stream)
+        except PdfiumError as e:
+            raise RuntimeError(
+                f"pypdfium could not load document {document_hash}"
+            ) from e
 
     def page_count(self) -> int:
         return len(self._pdoc)
 
     def load_page(self, page_no: int) -> PyPdfiumPageBackend:
-        return PyPdfiumPageBackend(self._pdoc[page_no])
+        return PyPdfiumPageBackend(self._pdoc, self.document_hash, page_no)
 
     def is_valid(self) -> bool:
         return self.page_count() > 0

docling/datamodel/base_models.py

@@ -16,7 +16,7 @@ class ConversionStatus(str, Enum):
     STARTED = auto()
     FAILURE = auto()
     SUCCESS = auto()
-    SUCCESS_WITH_ERRORS = auto()
+    PARTIAL_SUCCESS = auto()
 
 
 class DocInputType(str, Enum):
@@ -29,6 +29,18 @@ class CoordOrigin(str, Enum):
     BOTTOMLEFT = auto()
 
 
+class DoclingComponentType(str, Enum):
+    PDF_BACKEND = auto()
+    MODEL = auto()
+    DOC_ASSEMBLER = auto()
+
+
+class ErrorItem(BaseModel):
+    component_type: DoclingComponentType
+    module_name: str
+    error_message: str
+
+
 class PageSize(BaseModel):
     width: float = 0.0
     height: float = 0.0

docling/datamodel/document.py

@@ -19,6 +19,7 @@
     AssembledUnit,
     ConversionStatus,
     DocumentStream,
+    ErrorItem,
     FigureElement,
     Page,
     PageElement,
@@ -118,7 +119,7 @@ class ConvertedDocument(BaseModel):
     input: InputDocument
 
     status: ConversionStatus = ConversionStatus.PENDING  # failure, success
-    errors: List[Dict] = []  # structure to keep errors
+    errors: List[ErrorItem] = []  # structure to keep errors
 
     pages: List[Page] = []
     assembled: Optional[AssembledUnit] = None

docling/document_converter.py

@@ -16,6 +16,8 @@
     AssembledUnit,
     AssembleOptions,
     ConversionStatus,
+    DoclingComponentType,
+    ErrorItem,
     Page,
     PipelineOptions,
 )
@@ -157,7 +159,6 @@ def process_document(self, in_doc: InputDocument) -> ConvertedDocument:
             for page_batch in chunkify(
                 converted_doc.pages, settings.perf.page_batch_size
             ):
-
                 start_pb_time = time.time()
                 # Pipeline
 
@@ -205,12 +206,27 @@ def process_document(self, in_doc: InputDocument) -> ConvertedDocument:
             converted_doc.pages = all_assembled_pages
             self.assemble_doc(converted_doc)
 
-            converted_doc.status = ConversionStatus.SUCCESS
+            status = ConversionStatus.SUCCESS
+            for page in converted_doc.pages:
+                if not page._backend.is_valid():
+                    converted_doc.errors.append(
+                        ErrorItem(
+                            component_type=DoclingComponentType.PDF_BACKEND,
+                            module_name=type(page._backend).__name__,
+                            error_message=f"Page {page.page_no} failed to parse.",
+                        )
+                    )
+                    status = ConversionStatus.PARTIAL_SUCCESS
+
+            converted_doc.status = status
 
         except Exception as e:
             converted_doc.status = ConversionStatus.FAILURE
             trace = "\n".join(traceback.format_exception(e))
-            _log.info(f"Encountered an error during conversion: {trace}")
+            _log.info(
+                f"Encountered an error during conversion of document {in_doc.document_hash}:\n"
+                f"{trace}"
+            )
 
         end_doc_time = time.time() - start_doc_time
         _log.info(
@@ -230,7 +246,9 @@ def initialize_page(self, doc: InputDocument, page: Page) -> Page:
     # Generate the page image and store it in the page object
     def populate_page_images(self, doc: InputDocument, page: Page) -> Page:
         # default scale
-        page.get_image(scale=1.0)
+        page.get_image(
+            scale=1.0
+        )  # puts the page image on the image cache at default scale
 
         # user requested scales
         if self.assemble_options.images_scale is not None:

examples/batch_convert.py

@@ -1,15 +1,10 @@
 import json
 import logging
 import time
-from io import BytesIO
 from pathlib import Path
 from typing import Iterable
 
-from docling.datamodel.base_models import (
-    ConversionStatus,
-    DocumentStream,
-    PipelineOptions,
-)
+from docling.datamodel.base_models import ConversionStatus, PipelineOptions
 from docling.datamodel.document import ConvertedDocument, DocumentConversionInput
 from docling.document_converter import DocumentConverter
 
@@ -24,6 +19,7 @@ def export_documents(
 
     success_count = 0
     failure_count = 0
+    partial_success_count = 0
 
     for doc in converted_docs:
         if doc.status == ConversionStatus.SUCCESS:
@@ -37,12 +33,21 @@ def export_documents(
             # Export Markdown format:
             with (output_dir / f"{doc_filename}.md").open("w") as fp:
                 fp.write(doc.render_as_markdown())
+        elif doc.status == ConversionStatus.PARTIAL_SUCCESS:
+            _log.info(
+                f"Document {doc.input.file} was partially converted with the following errors:"
+            )
+            for item in doc.errors:
+                _log.info(f"\t{item.error_message}")
+            partial_success_count += 1
         else:
             _log.info(f"Document {doc.input.file} failed to convert.")
             failure_count += 1
 
     _log.info(
-        f"Processed {success_count + failure_count} docs, of which {failure_count} failed"
+        f"Processed {success_count + partial_success_count + failure_count} docs, "
+        f"of which {failure_count} failed "
+        f"and {partial_success_count} were partially converted."
     )
 
 
@@ -61,7 +66,7 @@ def main():
     # docs = [DocumentStream(filename="my_doc.pdf", stream=buf)]
     # input = DocumentConversionInput.from_streams(docs)
 
-    doc_converter = DocumentConverter(pipeline_options=PipelineOptions(do_ocr=False))
+    doc_converter = DocumentConverter()
 
     input = DocumentConversionInput.from_paths(input_doc_paths)