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synced 2025-12-08 12:48:28 +00:00
fix: Respect document_timeout in new threaded StandardPdfPipeline (#2653)
* fix: Respect document_timeout in new threaded StandardPdfPipeline Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * add test case to test_options Signed-off-by: Christoph Auer <cau@zurich.ibm.com> * fix: Make sure unprocessed pages are not getting into assemble_document Signed-off-by: Christoph Auer <cau@zurich.ibm.com> --------- Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
This commit is contained in:
@@ -179,6 +179,7 @@ class ThreadedPipelineStage:
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batch_timeout: float,
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queue_max_size: int,
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postprocess: Optional[Callable[[ThreadedItem], None]] = None,
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timed_out_run_ids: Optional[set[int]] = None,
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) -> None:
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self.name = name
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self.model = model
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@@ -189,6 +190,9 @@ class ThreadedPipelineStage:
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self._thread: Optional[threading.Thread] = None
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self._running = False
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self._postprocess = postprocess
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self._timed_out_run_ids = (
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timed_out_run_ids if timed_out_run_ids is not None else set()
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)
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# ---------------------------------------------------------------- wiring
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def add_output_queue(self, q: ThreadedQueue) -> None:
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@@ -200,7 +204,7 @@ class ThreadedPipelineStage:
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return
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self._running = True
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self._thread = threading.Thread(
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target=self._run, name=f"Stage-{self.name}", daemon=True
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target=self._run, name=f"Stage-{self.name}", daemon=False
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)
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self._thread.start()
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@@ -210,9 +214,14 @@ class ThreadedPipelineStage:
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self._running = False
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self.input_queue.close()
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if self._thread is not None:
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self._thread.join(timeout=30.0)
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# Give thread 2s to finish naturally before abandoning
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self._thread.join(timeout=15.0)
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if self._thread.is_alive():
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_log.warning("Stage %s did not terminate cleanly within 30s", self.name)
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_log.warning(
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"Stage %s thread did not terminate within 15s. "
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"Thread is likely stuck in a blocking call and will be abandoned (resources may leak).",
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self.name,
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)
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# ------------------------------------------------------------------ _run
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def _run(self) -> None:
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@@ -238,6 +247,16 @@ class ThreadedPipelineStage:
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result: list[ThreadedItem] = []
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for rid, items in groups.items():
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# If run_id is timed out, skip processing but pass through items as-is
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# This allows already-completed work to flow through while aborting new work
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if rid in self._timed_out_run_ids:
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for it in items:
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it.is_failed = True
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if it.error is None:
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it.error = RuntimeError("document timeout exceeded")
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result.extend(items)
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continue
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good: list[ThreadedItem] = [i for i in items if not i.is_failed]
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if not good:
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result.extend(items)
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@@ -299,6 +318,7 @@ class PreprocessThreadedStage(ThreadedPipelineStage):
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batch_timeout: float,
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queue_max_size: int,
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model: Any,
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timed_out_run_ids: Optional[set[int]] = None,
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) -> None:
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super().__init__(
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name="preprocess",
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@@ -306,6 +326,7 @@ class PreprocessThreadedStage(ThreadedPipelineStage):
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batch_size=1,
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batch_timeout=batch_timeout,
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queue_max_size=queue_max_size,
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timed_out_run_ids=timed_out_run_ids,
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)
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def _process_batch(self, batch: Sequence[ThreadedItem]) -> list[ThreadedItem]:
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@@ -315,6 +336,16 @@ class PreprocessThreadedStage(ThreadedPipelineStage):
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result: list[ThreadedItem] = []
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for rid, items in groups.items():
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# If run_id is timed out, skip processing but pass through items as-is
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# This allows already-completed work to flow through while aborting new work
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if rid in self._timed_out_run_ids:
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for it in items:
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it.is_failed = True
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if it.error is None:
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it.error = RuntimeError("document timeout exceeded")
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result.extend(items)
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continue
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good = [i for i in items if not i.is_failed]
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if not good:
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result.extend(items)
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@@ -369,6 +400,7 @@ class RunContext:
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stages: list[ThreadedPipelineStage]
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first_stage: ThreadedPipelineStage
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output_queue: ThreadedQueue
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timed_out_run_ids: set[int] = field(default_factory=set)
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# ──────────────────────────────────────────────────────────────────────────────
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@@ -473,10 +505,12 @@ class StandardPdfPipeline(ConvertPipeline):
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def _create_run_ctx(self) -> RunContext:
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opts = self.pipeline_options
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timed_out_run_ids: set[int] = set()
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preprocess = PreprocessThreadedStage(
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batch_timeout=opts.batch_polling_interval_seconds,
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queue_max_size=opts.queue_max_size,
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model=self.preprocessing_model,
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timed_out_run_ids=timed_out_run_ids,
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)
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ocr = ThreadedPipelineStage(
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name="ocr",
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@@ -484,6 +518,7 @@ class StandardPdfPipeline(ConvertPipeline):
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batch_size=opts.ocr_batch_size,
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batch_timeout=opts.batch_polling_interval_seconds,
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queue_max_size=opts.queue_max_size,
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timed_out_run_ids=timed_out_run_ids,
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)
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layout = ThreadedPipelineStage(
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name="layout",
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@@ -491,6 +526,7 @@ class StandardPdfPipeline(ConvertPipeline):
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batch_size=opts.layout_batch_size,
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batch_timeout=opts.batch_polling_interval_seconds,
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queue_max_size=opts.queue_max_size,
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timed_out_run_ids=timed_out_run_ids,
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)
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table = ThreadedPipelineStage(
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name="table",
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@@ -498,6 +534,7 @@ class StandardPdfPipeline(ConvertPipeline):
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batch_size=opts.table_batch_size,
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batch_timeout=opts.batch_polling_interval_seconds,
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queue_max_size=opts.queue_max_size,
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timed_out_run_ids=timed_out_run_ids,
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)
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assemble = ThreadedPipelineStage(
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name="assemble",
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@@ -506,6 +543,7 @@ class StandardPdfPipeline(ConvertPipeline):
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batch_timeout=opts.batch_polling_interval_seconds,
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queue_max_size=opts.queue_max_size,
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postprocess=self._release_page_resources,
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timed_out_run_ids=timed_out_run_ids,
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)
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# wire stages
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@@ -517,11 +555,22 @@ class StandardPdfPipeline(ConvertPipeline):
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assemble.add_output_queue(output_q)
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stages = [preprocess, ocr, layout, table, assemble]
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return RunContext(stages=stages, first_stage=preprocess, output_queue=output_q)
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return RunContext(
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stages=stages,
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first_stage=preprocess,
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output_queue=output_q,
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timed_out_run_ids=timed_out_run_ids,
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)
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# --------------------------------------------------------------------- build
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def _build_document(self, conv_res: ConversionResult) -> ConversionResult:
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"""Stream-build the document while interleaving producer and consumer work."""
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"""Stream-build the document while interleaving producer and consumer work.
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Note: If a worker thread gets stuck in a blocking call (model inference or PDF backend
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load_page/get_size), that thread will be abandoned after a brief wait (15s) during cleanup.
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The thread continues running until the blocking call completes, potentially holding
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resources (e.g., pypdfium2_lock).
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"""
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run_id = next(self._run_seq)
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assert isinstance(conv_res.input._backend, PdfDocumentBackend)
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@@ -546,9 +595,32 @@ class StandardPdfPipeline(ConvertPipeline):
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proc = ProcessingResult(total_expected=total_pages)
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fed_idx: int = 0 # number of pages successfully queued
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batch_size: int = 32 # drain chunk
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start_time = time.monotonic()
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timeout_exceeded = False
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input_queue_closed = False
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try:
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while proc.success_count + proc.failure_count < total_pages:
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# Check timeout
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if (
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self.pipeline_options.document_timeout is not None
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and not timeout_exceeded
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):
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elapsed_time = time.monotonic() - start_time
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if elapsed_time > self.pipeline_options.document_timeout:
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_log.warning(
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f"Document processing time ({elapsed_time:.3f}s) "
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f"exceeded timeout of {self.pipeline_options.document_timeout:.3f}s"
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)
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timeout_exceeded = True
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ctx.timed_out_run_ids.add(run_id)
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if not input_queue_closed:
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ctx.first_stage.input_queue.close()
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input_queue_closed = True
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# Break immediately - don't wait for in-flight work
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break
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# 1) feed - try to enqueue until the first queue is full
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if not input_queue_closed:
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while fed_idx < total_pages:
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ok = ctx.first_stage.input_queue.put(
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ThreadedItem(
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@@ -563,6 +635,7 @@ class StandardPdfPipeline(ConvertPipeline):
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fed_idx += 1
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if fed_idx == total_pages:
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ctx.first_stage.input_queue.close()
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input_queue_closed = True
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else: # queue full - switch to draining
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break
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@@ -579,7 +652,7 @@ class StandardPdfPipeline(ConvertPipeline):
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assert itm.payload is not None
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proc.pages.append(itm.payload)
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# 3) failure safety - downstream closed early -> mark missing pages failed
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# 3) failure safety - downstream closed early
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if not out_batch and ctx.output_queue.closed:
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missing = total_pages - (proc.success_count + proc.failure_count)
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if missing > 0:
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@@ -587,24 +660,36 @@ class StandardPdfPipeline(ConvertPipeline):
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[(-1, RuntimeError("pipeline terminated early"))] * missing
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)
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break
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# Mark remaining pages as failed if timeout occurred
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if timeout_exceeded:
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completed_page_nos = {p.page_no for p in proc.pages} | {
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fp for fp, _ in proc.failed_pages
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}
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for page in pages[fed_idx:]:
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if page.page_no not in completed_page_nos:
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proc.failed_pages.append(
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(page.page_no, RuntimeError("document timeout exceeded"))
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)
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finally:
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for st in ctx.stages:
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st.stop()
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ctx.output_queue.close()
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self._integrate_results(conv_res, proc)
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self._integrate_results(conv_res, proc, timeout_exceeded=timeout_exceeded)
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return conv_res
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# ---------------------------------------------------- integrate_results()
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def _integrate_results(
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self, conv_res: ConversionResult, proc: ProcessingResult
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self,
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conv_res: ConversionResult,
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proc: ProcessingResult,
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timeout_exceeded: bool = False,
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) -> None:
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page_map = {p.page_no: p for p in proc.pages}
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# Only keep pages that successfully completed processing
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conv_res.pages = [
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page_map.get(p.page_no, p)
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for p in conv_res.pages
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if p.page_no in page_map
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or not any(fp == p.page_no for fp, _ in proc.failed_pages)
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page_map[p.page_no] for p in conv_res.pages if p.page_no in page_map
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]
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# Add error details from failed pages
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for page_no, error in proc.failed_pages:
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@@ -616,7 +701,10 @@ class StandardPdfPipeline(ConvertPipeline):
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error_message=f"{page_label}: {error_msg}" if error_msg else page_label,
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)
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conv_res.errors.append(error_item)
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if proc.is_complete_failure:
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if timeout_exceeded and proc.total_expected > 0:
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# Timeout exceeded: set PARTIAL_SUCCESS if any pages were attempted
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conv_res.status = ConversionStatus.PARTIAL_SUCCESS
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elif proc.is_complete_failure:
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conv_res.status = ConversionStatus.FAILURE
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elif proc.is_partial_success:
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conv_res.status = ConversionStatus.PARTIAL_SUCCESS
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@@ -15,6 +15,7 @@ from docling.datamodel.pipeline_options import (
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TableFormerMode,
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)
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from docling.document_converter import DocumentConverter, PdfFormatOption
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from docling.pipeline.legacy_standard_pdf_pipeline import LegacyStandardPdfPipeline
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@pytest.fixture
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@@ -118,6 +119,33 @@ def test_page_range(test_doc_path):
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assert doc_result.status == ConversionStatus.FAILURE
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def test_document_timeout(test_doc_path):
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converter = DocumentConverter(
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format_options={
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InputFormat.PDF: PdfFormatOption(
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pipeline_options=PdfPipelineOptions(document_timeout=1)
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)
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}
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)
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result = converter.convert(test_doc_path)
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assert result.status == ConversionStatus.PARTIAL_SUCCESS, (
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"Expected document timeout to be used"
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)
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converter = DocumentConverter(
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format_options={
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InputFormat.PDF: PdfFormatOption(
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pipeline_options=PdfPipelineOptions(document_timeout=1),
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pipeline_cls=LegacyStandardPdfPipeline,
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)
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}
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)
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result = converter.convert(test_doc_path)
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assert result.status == ConversionStatus.PARTIAL_SUCCESS, (
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"Expected document timeout to be used"
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)
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def test_ocr_coverage_threshold(test_doc_path):
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pipeline_options = PdfPipelineOptions()
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pipeline_options.do_ocr = True
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