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Record deterministic reinsert UI planning

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  1. CHANGELOG.md +84 -1
CHANGELOG.md CHANGED
@@ -26,6 +26,89 @@ For UI/UX-only work, prefer pure helper modules and tests before touching Stream
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  ---
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  ## v13.3 — Deterministic reinsert helper verification reconciliation
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  Status: completed and formally closed after Actions/sync verification.
@@ -250,6 +333,6 @@ Outcome:
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  Possible directions:
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- - Deterministic reinsert UI after verification.
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  - AI-output reinsert.
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  - Further recognizer expansion by legal domain.
 
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  ---
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+ ## v13.3 — Deterministic reinsert UI planning
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+ Status: implemented; reinsert UI implementation can start as a separate sequential workpackage.
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+ Purpose:
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+ - Plan deterministic local reinsert UI before changing Streamlit UI code.
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+ - Define where the UI should appear, what labels it should use, what state it should rely on, and which warnings and audit fields it must show.
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+ - Keep AI-output behavior separate unless explicitly approved.
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+ Files added or changed:
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+ - `REINSERT_UI_SPEC.md`
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+ - `WORKPACKAGES.md`
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+ - `CHANGELOG.md`
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+ - `handover/workpackages/20260607_1900_v13_3_reinsert_ui_planning.md`
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+ Main planning decisions:
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+ - Future UI block should appear after the existing Scrub Key import/reload section near the download/export area.
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+ - Suggested section label: `Originele waarden terugzetten`.
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+ - Suggested input label: `Plak hier de tekst waarin u originele waarden lokaal wilt terugzetten`.
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+ - Suggested action button: `Zet originele waarden lokaal terug`.
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+ - Suggested output label: `Herstelde tekst`.
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+ - Suggested download label: `Download herstelde tekst (.txt)`.
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+ - Future UI should call `reinsert_from_scrub_key(text, scrub_key)` and render the helper result instead of duplicating reinsert logic.
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+ - Future UI should use a validated Scrub Key from import/reload first, or a key built from the current reviewed replacement table if no imported key exists.
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+ - Reinsertion must require a separate visible user action and must not happen automatically when a Scrub Key is loaded.
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+ - First UI implementation should produce restored text and `.txt` download only; no DOCX/PDF rehydration in the first UI step.
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+ Required warnings specified:
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+ - Reinsertion restores original sensitive values.
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+ - Restored text may again contain personal or confidential information.
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+ - Restored output must be manually reviewed before sharing.
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+ - A Scrub Key is reversible/pseudonymization, not full anonymization.
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+ - The key must remain local and protected.
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+ - No AI/cloud processing is involved in the local reinsert step.
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+ Required audit summary specified:
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+ - mapping item count;
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+ - active item count;
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+ - excluded item count;
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+ - replacement count;
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+ - placeholders not found;
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+ - unknown placeholders;
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+ - duplicate placeholders;
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+ - validation issues;
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+ - local-only status;
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+ - no-AI status;
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+ - no-cloud status.
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+ Future UI test requirements specified:
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+ - Add a future patch test file such as `tests/test_scrub_key_reinsert_ui_patch.py`.
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+ - Guard helper import, UI labels, warning text, audit fields, button-gated helper call, no AI/cloud behavior, no `st.stop()`, existing Scrub Key export, existing import/reload UI, and existing export/download markers.
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+ Testing and validation:
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+ - Tests: not applicable; planning/specification-only workpackage.
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+ - App verification: not applicable; no UI behavior changed.
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+ Intentionally not changed:
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+ - No UI code changed.
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+ - No direct edit to `fix_streamlit_nested_expanders.py`.
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+ - No direct edit to `presidio_streamlit.py`.
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+ - No tests added or changed.
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+ - No AI calls.
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+ - No cloud processing.
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+ - No automatic document rehydration.
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+ - No TXT, CSV, DOCX or PDF export behavior changed.
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+ - No Scrub Key JSON export behavior changed.
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+ - No Scrub Key import/reload behavior changed.
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+ - No secrets, tokens or real personal data.
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+ Outcome:
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+ - v13.3 deterministic reinsert UI is planned and ready for a separate sequential implementation workpackage.
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+ ---
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  ## v13.3 — Deterministic reinsert helper verification reconciliation
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  Status: completed and formally closed after Actions/sync verification.
 
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  Possible directions:
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+ - Deterministic reinsert UI implementation.
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  - AI-output reinsert.
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  - Further recognizer expansion by legal domain.