main.py unifies the call to both engines and always passes
`sender_model_path` (None for non-Kurrent scripts). Surya's
extract_region_text / extract_page_blocks accepted one fewer positional
arg than Kraken's, so every guided-OCR run on a TYPEWRITER or
HANDWRITING_LATIN document raised "takes 5 positional arguments but 6
were given" and the stream returned 0 blocks / 1 skipped page.
Add an ignored `sender_model_path` kwarg to both Surya functions so the
signatures match Kraken's, and guard the regression with two signature
tests in test_engines.py that compare both engines' parameter lists.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Cover Surya polygon/word-level extraction, health endpoint states,
Kraken script-type routing, 503 when models not ready, 400 when
Kraken unavailable for Kurrent, and confidence marker application
during streaming. Production code coverage: 88%.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The PDF viewer uses 1-based currentPage (starting at 1) but the OCR
engines produced 0-based pageNumber from enumerate(). Annotations
created by OCR were assigned to page 0, which doesn't exist in the
viewer. Change enumerate() to start=1 in both engines and the
streaming endpoint.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Enable per-page processing by extracting the inner loop body of
extract_blocks() into extract_page_blocks(image, page_idx, language).
The original extract_blocks() now delegates to the new function,
preserving backward compatibility for the batch path.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
