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Add universal document decoder with multi-format support (#705)

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Add universal document decoder with multi-format support
using 'unstructured'.

New universal decoder service powered by the unstructured
library, handling DOCX, XLSX, PPTX, HTML, Markdown, CSV, RTF,
ODT, EPUB and more through a single service. Tables are preserved
as HTML markup for better downstream extraction. Images are
stored in the librarian but excluded from the text
pipeline. Configurable section grouping strategies
(whole-document, heading, element-type, count, size) for non-page
formats. Page-based formats (PDF, PPTX, XLSX) are automatically
grouped by page.

All four decoders (PDF, Mistral OCR, Tesseract OCR, universal)
now share the "document-decoder" ident so they are
interchangeable.  PDF-only decoders fetch document metadata to
check MIME type and gracefully skip unsupported formats.

Librarian changes: removed MIME type whitelist validation so any
document format can be ingested. Simplified routing so text/plain
goes to text-load and everything else goes to document-load.
Removed dual inline/streaming data paths — documents always use
document_id for content retrieval.

New provenance entity types (tg:Section, tg:Image) and metadata
predicates (tg:elementTypes, tg:tableCount, tg:imageCount) for
richer explainability.

Universal decoder is in its own package (trustgraph-unstructured)
and container image (trustgraph-unstructured).
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cybermaggedon 2026-03-23 12:56:35 +00:00 • committed by GitHub
parent 4609424afe
commit 5c6fe90fe2
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25 changed files with 2247 additions and 79 deletions
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2
tests/unit/test_decoding/test_pdf_decoder.py
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@ -187,7 +187,7 @@ class TestPdfDecoderProcessor(IsolatedAsyncioTestCase):
"""Test run function"""
from trustgraph.decoding.pdf.pdf_decoder import run
run()
mock_launch.assert_called_once_with("pdf-decoder",
mock_launch.assert_called_once_with("document-decoder",
"\nSimple decoder, accepts PDF documents on input, outputs pages from the\nPDF document as text as separate output objects.\n\nSupports both inline document data and fetching from librarian via Pulsar\nfor large documents.\n")