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Import UAPF package
feat(3.2.0): align with UAPF v2.5.0 — embed algorithm card tests, drop sidecar
Per UAPF v2.5.0, tests move from sidecar files (tests/algorithms/<card-id>.test.yaml — removed in v2.5.0) into a top-level tests array on each algorithm card. Minimum two entries per card; the Algorithm Card viewer (UAPF chapter 13.16, ProcessGit Preview tab) consumes these as its primary interaction surface. This package's three cards now carry embedded tests: - algo.semantic_document_analysis.pii_redactor (deterministic redactor) — 3 cases: Latvian personas kods inline (positive — three entity types detected), plain administrative text (negative — no PII signals), financial figures with IBAN (mixed — financial yes, personas_kods no). - algo.semantic_document_analysis.vdvc_semantic_extractor (stochastic LLM extractor, EU AI Act high-risk + mandatory oversight) — 2 cases: regulatory construction-permit appeal (in-domain, expected topic + applicable_regulations), non-regulatory thank-you note (out-of-domain, low confidence). Both carry ai_confidence_score tolerance bands appropriate for a stochastic output. - algo.semantic_document_analysis.completion_event_emitter (deterministic CloudEvents emitter) — 2 cases: successful completion event, failure completion event. The emitter does not gate on payload contents, so both succeed. Other changes: - uapf.yaml + manifest.json: version 3.1.0 -> 3.2.0 - README.md: v3.2.0 section added describing embedded tests and the removed sidecar location BPMN file unchanged from v3.1.0 — uapf:algorithmCardRef on each service task per UAPF v2.4.0 + ioSpecification synthesis. Mappings unchanged. DMN tables unchanged. uapf-cli validate against v2.5.0 schemas passes cleanly.
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"name": "Semantic Document Analysis",
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"description": "Level-4 UAPF process for semantic analysis of free-text documents.\n\nThree BPMN service tasks invoke the UAPF-IP capabilities ai.redact@1,\nai.extract@1 and event.emit@1. Three DMN decision tables encode the\ndeterministic algorithm the host previously hid inside application\ncode: assess-personal-data-risk maps PII regex signals to a risk\nlevel; gdpr-processing-route selects CENTRAL vs LOCAL processing,\nanonymisation and redaction level; human-validation-gate applies the\nconfidence thresholds that decide REJECTED / PENDING_REVIEW /\nAPPROVED_AUTO.\n\nOnly the semantic extraction is a model step. Risk classification,\nGDPR routing and the validation gate are explicit ranked rules in\nversioned DMN \u2014 inspectable, auditable, portable. Extraction output\nvalidates against the VDVC v1.1 semantic-summary JSON Schema.\n\nv3.1.0: aligned with UAPF v2.4.0 \u2014 Algorithm Card references move\nfrom resource targets to the BPMN service tasks themselves (via\nuapf24:algorithmCardRef attribute). Each card's io block is also\ndenormalised into a <bpmn:ioSpecification> on the task so inputs\nand outputs render as visible data objects on the diagram. The\ncards themselves and the DMN decisions are unchanged from v3.0.0.\n",
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"level": 4,
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"version": "3.1.0",
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"version": "3.2.0",
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"requires_capabilities": [
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"ai.redact@1+",
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"ai.extract@1+",
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