test(fixtures): replace sector-specific example material with generic, fictitious examples — green
Every fixture, test document, tool example and document now uses an invented kitchen-and-baking handbook series, written in this repository. The package's behaviour is unchanged; src/ changes are comments and help text only. - Generated fixtures are regenerated from their generators. Their structural counts are identical before and after: elements, images, rows, cells, headings, bookmarks and the witness inventory's per-document totals. The image-inbox and accounting documents are renamed kapittel-84-*. - tools/okf_accounting_gate.py: the two options that named one real corpus each are replaced by a generic, repeatable --corpus PATH with no default. Row 5 compares the PDF pair alone. Gate verdict unchanged: RED rows 2, 3, 6. - tools/okf_witness.py: the STS JSON reader for one publisher's delivery is removed, along with its three twins and five tests. The mutation harness loses W09. - docs/: 13 dated reports that documented runs on a retired reference corpus are removed, and 40 are neutralized. Dead links are removed, and no new dangling path is introduced. - The synthetic MCP-gate corpus and the residual probe words are neutral. Valgt: keep the `okf quality --fasit` bar value (the measured fraction, one corpus) and rewrite only its provenance, because the verdict stays unchanged and the number names nothing. Term check with the local list: 0 of 411 tracked files, 0 file names, 0 of 27 binary fixtures. Suite after git add: 2457 passed, 1 skipped. The base tree had 2460 passed and 2 skipped; five tests went with the JSON reader and four were added by the term check. ruff, ruff format and mypy --strict src/ are clean. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@ -636,7 +636,7 @@ def run_segmented_inbox(tmp_path: Path, *, plan_overrides: dict[str, Any], **kwa
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inbox = tmp_path / "round"
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inbox.mkdir(parents=True, exist_ok=True)
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body = "Brannkonsept: krav til seksjonering.\n"
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(inbox / "n500.md").write_text(body, encoding="utf-8", newline="")
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(inbox / "q500.md").write_text(body, encoding="utf-8", newline="")
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payload = segmentation_payload(
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source_sha256=hashlib.sha256(body.encode("utf-8")).hexdigest(),
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entries=[segmentation_entry(span=[0, len(body)])],
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@ -815,7 +815,7 @@ def test_asset_pdf_unsupported() -> None:
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from llm_ingestion_okf.extract import extract_document
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data = (
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Path(__file__).parent / "fixtures" / "image-inbox" / "prosess-84-tabell.pdf"
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Path(__file__).parent / "fixtures" / "image-inbox" / "kapittel-84-tabell.pdf"
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).read_bytes()
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stencil = data.replace(
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b"/BitsPerComponent 8 /Filter /FlateDecode", b"/BitsPerComponent 1 /Filter /FlateDecode", 1
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