"""Startup compatibility patches for the Streamlit app. This script runs before Streamlit starts in the Docker container. It applies small idempotent source patches that keep the Hugging Face Space usable while larger UI refactors are being staged. Patches currently applied: - v9: remove nested Streamlit expander usage for Woordenlijsten. - v12.1-v12.6: add review status, focus filters, guidance, summary and advisory export checks. - v13.1: add local Scrub Key JSON export after review. - v13.2: add local Scrub Key import/reload UI using the pure import helper. - v13.3: add deterministic local reinsert UI using the pure reinsert helper. - v13.6: add two-mode UI content separation for Anonimiseren / Originele waarden terugzetten. - v13.6 hotfix: keep reinsert branch indentation syntactically valid. - v13.7: add TXT upload/download support for local reinsert in Originele waarden terugzetten. - v13.8: add limited DOCX upload/download support for local reinsert in Originele waarden terugzetten. """ from pathlib import Path APP_FILE = Path(__file__).with_name("presidio_streamlit.py") text = APP_FILE.read_text(encoding="utf-8") def replace_once(source: str, old: str, new: str) -> str: if old in source and new not in source: return source.replace(old, new, 1) return source def indent_block(block: str, spaces: int = 4) -> str: prefix = " " * spaces return "".join((prefix + line if line.strip() else line) for line in block.splitlines(True)) text = replace_once(text, 'from pathlib import Path\n', 'from pathlib import Path\nfrom datetime import datetime, timezone\n') text = replace_once( text, 'from display_labels_nl import entity_label, source_label, confidence_label\n', 'from display_labels_nl import entity_label, source_label, confidence_label\n' 'from review_status import review_status_for_source, review_status_label, review_status_order\n' 'from review_filters import REVIEW_FILTER_OPTIONS, FILTER_SHOW_ALL, filter_review_dataframe\n' 'from review_table_config import main_review_columns, technical_display_columns\n' 'from review_guidance import (\n' ' REVIEW_INTRO_GUIDANCE,\n' ' CANDIDATE_GUIDANCE,\n' ' FOCUS_FILTER_GUIDANCE,\n' ' TECHNICAL_DETAILS_GUIDANCE,\n' ' AI_USAGE_GUIDANCE,\n' ' EXPORT_GUIDANCE,\n' ')\n' 'from review_summary import build_review_summary, review_summary_markdown\n' 'from export_sanity import build_export_sanity_checks, export_sanity_warnings\n' 'from scrub_key import build_scrub_key, scrub_key_to_json, validate_scrub_key\n' 'from scrub_key_import import IMPORT_PRIVACY_WARNING, build_scrub_key_import_result\n' 'from scrub_key_reinsert import reinsert_from_scrub_key\n' 'from scrub_key_document_reinsert import reinsert_docx_bytes, reinsert_txt_bytes\n', ) text = replace_once( text, 'from scrub_key import build_scrub_key, scrub_key_to_json, validate_scrub_key\n', 'from scrub_key import build_scrub_key, scrub_key_to_json, validate_scrub_key\n' 'from scrub_key_import import IMPORT_PRIVACY_WARNING, build_scrub_key_import_result\n' 'from scrub_key_reinsert import reinsert_from_scrub_key\n' 'from scrub_key_document_reinsert import reinsert_docx_bytes, reinsert_txt_bytes\n', ) text = replace_once( text, 'from scrub_key_import import IMPORT_PRIVACY_WARNING, build_scrub_key_import_result\n', 'from scrub_key_import import IMPORT_PRIVACY_WARNING, build_scrub_key_import_result\n' 'from scrub_key_reinsert import reinsert_from_scrub_key\n' 'from scrub_key_document_reinsert import reinsert_docx_bytes, reinsert_txt_bytes\n', ) text = replace_once( text, ''' st_deny_allow_expander = st.expander("Woordenlijsten", expanded=False) with st_deny_allow_expander: st_allow_list = st_tags(label="Niet vervangen", text="Voer woord in en druk op Enter.") st.caption("Woorden in deze lijst worden niet als gevoelig gegeven behandeld.") st_deny_list = st_tags(label="Extra controleren", text="Voer woord in en druk op Enter.") st.caption("Woorden in deze lijst krijgen extra aandacht bij de herkenning.") ''', ''' st.markdown("**Woordenlijsten**") st_allow_list = st_tags(label="Niet vervangen", text="Voer woord in en druk op Enter.") st.caption("Woorden in deze lijst worden niet als gevoelig gegeven behandeld.") st_deny_list = st_tags(label="Extra controleren", text="Voer woord in en druk op Enter.") st.caption("Woorden in deze lijst krijgen extra aandacht bij de herkenning.") ''', ) for old, new in [ ( ''' "source_label": source_label("remembered"), "source": "remembered", "reason": "Opgeslagen herbruikbare vervanging", ''', ''' "source_label": source_label("remembered"), "source": "remembered", "review_status": review_status_for_source("remembered", entity_type, None), "review_status_label": review_status_label(review_status_for_source("remembered", entity_type, None)), "review_order": review_status_order(review_status_for_source("remembered", entity_type, None)), "reason": "Opgeslagen herbruikbare vervanging", ''', ), ( ''' "source_label": source_label("detected"), "source": "detected", "reason": "Automatisch herkend", ''', ''' "source_label": source_label("detected"), "source": "detected", "review_status": review_status_for_source("detected", entity_type, score), "review_status_label": review_status_label(review_status_for_source("detected", entity_type, score)), "review_order": review_status_order(review_status_for_source("detected", entity_type, score)), "reason": "Automatisch herkend", ''', ), ( ''' "source_label": source_label("candidate"), "source": "candidate", "reason": candidate.get("reason", "Mogelijke gemiste waarde"), ''', ''' "source_label": source_label("candidate"), "source": "candidate", "review_status": review_status_for_source("candidate", entity_type, score), "review_status_label": review_status_label(review_status_for_source("candidate", entity_type, score)), "review_order": review_status_order(review_status_for_source("candidate", entity_type, score)), "reason": candidate.get("reason", "Mogelijke gemiste waarde"), ''', ), ( ''' "source_label": source_label("manual"), "source": "manual", "reason": "Handmatige vervangingsregel", ''', ''' "source_label": source_label("manual"), "source": "manual", "review_status": review_status_for_source("manual", "MANUAL", None), "review_status_label": review_status_label(review_status_for_source("manual", "MANUAL", None)), "review_order": review_status_order(review_status_for_source("manual", "MANUAL", None)), "reason": "Handmatige vervangingsregel", ''', ), ]: text = replace_once(text, old, new) scrub_key_import_merge_block = ''' if "scrub_key_import_rows" in st.session_state: imported_scrub_key_rows = st.session_state.pop("scrub_key_import_rows") added_scrub_key_rows = 0 existing_find_values = {str(row.get("find", "")).strip() for row in default_editor_rows} if len(default_editor_rows) == 1 and not str(default_editor_rows[0].get("find", "")).strip(): default_editor_rows = [] existing_find_values = set() for imported_scrub_key_row in imported_scrub_key_rows: imported_find = str(imported_scrub_key_row.get("find", "")).strip() imported_replace = str(imported_scrub_key_row.get("replace_with", "")).strip() if not imported_find or not imported_replace or imported_find in existing_find_values: continue imported_row = dict(imported_scrub_key_row) imported_row.setdefault("include", True) imported_row.setdefault("remember", False) imported_row.setdefault("source", "scrub_key_import") imported_row.setdefault("source_label", "Scrub Key") imported_row.setdefault("reason", "Geladen uit Scrub Key") imported_row.setdefault("context", "") imported_row.setdefault("confidence", "") imported_row.setdefault("score", None) imported_row.setdefault("type_label", entity_label(imported_row.get("entity_type", "MANUAL"))) imported_row.setdefault("review_status_label", review_status_label(imported_row.get("review_status", "manual"))) imported_row.setdefault("review_order", review_status_order(imported_row.get("review_status", "manual"))) default_editor_rows.append(imported_row) existing_find_values.add(imported_find) added_scrub_key_rows += 1 if added_scrub_key_rows: st.success(f"{added_scrub_key_rows} Scrub Key regel(s) geladen in de vervangtabel.") ''' text = replace_once( text, ''' replacement_editor_df = pd.DataFrame(default_editor_rows) ''', scrub_key_import_merge_block + ''' replacement_editor_df = pd.DataFrame(default_editor_rows) ''', ) review_table_intro_block = ''' replacement_editor_df = pd.DataFrame(default_editor_rows) st.info(REVIEW_INTRO_GUIDANCE) with st.expander("Uitleg bij deze controle", expanded=False): st.markdown(f"- {CANDIDATE_GUIDANCE}") st.markdown(f"- {FOCUS_FILTER_GUIDANCE}") st.markdown(f"- {TECHNICAL_DETAILS_GUIDANCE}") st.markdown(f"- {AI_USAGE_GUIDANCE}") if "review_order" in replacement_editor_df.columns: replacement_editor_df = replacement_editor_df.sort_values( by=["review_order", "type_label", "find"], kind="stable" ).reset_index(drop=True) if "review_status_label" in replacement_editor_df.columns: status_counts = replacement_editor_df["review_status_label"].value_counts().to_dict() status_parts = [f"{label}: {count}" for label, count in status_counts.items()] if status_parts: st.caption("Reviewstatus: " + " · ".join(status_parts)) review_filter = st.selectbox( "Focusfilter voor controle", REVIEW_FILTER_OPTIONS, index=REVIEW_FILTER_OPTIONS.index(FILTER_SHOW_ALL), help=FOCUS_FILTER_GUIDANCE, ) if review_filter != FILTER_SHOW_ALL: focus_df = filter_review_dataframe(replacement_editor_df, review_filter) st.caption(f"{len(focus_df)} van {len(replacement_editor_df)} rij(en) zichtbaar in dit focusoverzicht.") st.dataframe( focus_df[[col for col in ["review_status_label", "find", "replace_with", "type_label", "confidence", "source_label"] if col in focus_df.columns]], use_container_width=True, ) st.caption("Pas wijzigingen toe in de volledige vervangtabel hieronder; dit focusoverzicht is alleen bedoeld om sneller te controleren.") with st.expander("Technische details bij de vervangtabel", expanded=False): st.caption(TECHNICAL_DETAILS_GUIDANCE) technical_columns = technical_display_columns(replacement_editor_df.columns) if technical_columns: st.dataframe(replacement_editor_df[technical_columns], use_container_width=True) else: st.caption("Geen technische detailkolommen beschikbaar.") edited_replacements_df = st.data_editor( ''' text = replace_once( text, ''' replacement_editor_df = pd.DataFrame(default_editor_rows) edited_replacements_df = st.data_editor( ''', review_table_intro_block, ) text = replace_once( text, ''' "include", "remember", "find", ''', ''' "include", "remember", "review_status_label", "find", ''', ) text = replace_once( text, ''' column_order=[ "include", "remember", "review_status_label", "find", "replace_with", "type_label", "confidence", "source_label", "reason", "context", "entity_type", "score", "source", ], ''', ''' column_order=main_review_columns(replacement_editor_df.columns), ''', ) text = replace_once( text, ''' "find": st.column_config.TextColumn( "Gevonden tekst", help="Exacte tekst die vervangen moet worden." ), ''', ''' "review_status_label": st.column_config.TextColumn( "Status", help="Reviewstatus: automatisch vervangen, controle nodig, handmatig of onthouden." ), "find": st.column_config.TextColumn( "Gevonden tekst", help="Exacte tekst die vervangen moet worden." ), ''', ) scrub_key_mapping_block = ''' scrub_key_rows = edited_replacements_df.copy() scrub_key_field_map = { "find": "original_value", "replace_with": "placeholder", "entity_type": "entity_type", "type_label": "type_label", "source": "source", "review_status": "review_status", "include": "include", } for scrub_key_source_column, scrub_key_target_column in scrub_key_field_map.items(): if scrub_key_source_column in scrub_key_rows.columns: scrub_key_rows[scrub_key_target_column] = scrub_key_rows[scrub_key_source_column] scrub_key_timestamp = datetime.now(timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z") if "timestamp" not in scrub_key_rows.columns: scrub_key_rows["timestamp"] = scrub_key_timestamp else: scrub_key_rows["timestamp"] = scrub_key_rows["timestamp"].fillna("").replace("", scrub_key_timestamp) scrub_key = build_scrub_key(scrub_key_rows) ''' scrub_key_import_ui_block = ''' st.markdown("**Scrub Key laden**") st.warning("Let op: een Scrub Key maakt vervangen waarden lokaal herleidbaar. Dit is pseudonimisering, geen volledige anonimisering. Bewaar deze sleutel lokaal en deel deze niet met AI-diensten of derden tenzij dat bewust en toegestaan is.") st.caption("Upload of plak een eerder geëxporteerde Scrub Key JSON. De sleutel wordt eerst gevalideerd en daarna pas na jouw klik gebruikt voor lokaal terugzetten.") scrub_key_import_file = st.file_uploader( "Upload Scrub Key JSON (.json)", type=["json"], key="scrub_key_import_file", help="Gebruik alleen een lokale Scrub Key die bij dit dossier of document hoort.", ) scrub_key_import_paste = st.text_area( "Of plak Scrub Key JSON", value="", height=120, key="scrub_key_import_paste", ) scrub_key_import_text = "" scrub_key_import_decode_error = None if scrub_key_import_file is not None: try: scrub_key_import_text = scrub_key_import_file.getvalue().decode("utf-8") except UnicodeDecodeError: scrub_key_import_decode_error = "Scrub Key bestand is geen geldige UTF-8 tekst." elif scrub_key_import_paste.strip(): scrub_key_import_text = scrub_key_import_paste if st.button("Valideer en laad Scrub Key", key="load_scrub_key_import"): if scrub_key_import_decode_error: st.error(scrub_key_import_decode_error) else: scrub_key_import_result = build_scrub_key_import_result(scrub_key_import_text) for scrub_key_import_warning in scrub_key_import_result.get("warnings", [IMPORT_PRIVACY_WARNING]): st.warning(scrub_key_import_warning) if scrub_key_import_result.get("ok"): st.success(f"Scrub Key geldig: {scrub_key_import_result.get('item_count', 0)} mappingregel(s) gevonden.") st.session_state["active_scrub_key"] = scrub_key_import_result.get("scrub_key") st.session_state["scrub_key_import_rows"] = scrub_key_import_result.get("mapping_rows", []) if "replacement_editor" in st.session_state: del st.session_state["replacement_editor"] st.rerun() else: for scrub_key_import_error in scrub_key_import_result.get("errors", []): st.error(scrub_key_import_error) ''' reinsert_ui_block = ''' st.markdown("**Originele waarden terugzetten**") st.warning("Let op: terugzetten herstelt originele gevoelige waarden. De uitvoer kan weer persoonsgegevens of vertrouwelijke informatie bevatten. Controleer het resultaat zorgvuldig voordat u het deelt.") st.caption("Deze stap wordt lokaal uitgevoerd met uw Scrub Key. Er wordt geen AI- of cloudverwerking gebruikt voor het terugzetten.") active_reinsert_scrub_key = st.session_state.get("active_scrub_key", {}) reinsert_input_text = st.text_area( "Plak hier de tekst waarin u originele waarden lokaal wilt terugzetten", value="", height=180, key="reinsert_input_text", ) if st.button("Zet originele waarden lokaal terug", key="run_local_reinsert"): if not reinsert_input_text.strip(): st.warning("Plak eerst tekst waarin placeholders staan die u lokaal wilt terugzetten.") else: st.session_state["reinsert_result"] = reinsert_from_scrub_key(reinsert_input_text, active_reinsert_scrub_key) if "reinsert_result" in st.session_state: reinsert_result = st.session_state["reinsert_result"] reinsert_validation_issues = reinsert_result.get("validation_issues", []) if reinsert_validation_issues: st.warning("Terugzetten kan niet betrouwbaar worden uitgevoerd: " + "; ".join(reinsert_validation_issues[:3])) elif reinsert_result.get("replacement_count", 0) > 0: st.success(f"{reinsert_result.get('replacement_count', 0)} waarde(n) lokaal teruggezet.") else: st.info("Er zijn geen placeholders teruggezet. Controleer of de tekst placeholders bevat die in de Scrub Key staan.") st.text_area( "Herstelde tekst", value=reinsert_result.get("text", ""), height=220, key="reinsert_output_text", ) st.download_button( "Download herstelde tekst (.txt)", data=reinsert_result.get("text", ""), file_name="solidprivacy_herstelde_tekst.txt", mime="text/plain", ) with st.expander("Controleverslag terugzetten", expanded=True): st.markdown(f"- Mappingregels totaal: {reinsert_result.get('item_count', 0)}") st.markdown(f"- Actieve mappingregels: {reinsert_result.get('active_item_count', 0)}") st.markdown(f"- Uitgesloten mappingregels: {reinsert_result.get('excluded_item_count', 0)}") st.markdown(f"- Aantal teruggezette waarden: {reinsert_result.get('replacement_count', 0)}") st.markdown(f"- Niet gevonden placeholders: {reinsert_result.get('placeholders_not_found', [])}") st.markdown(f"- Onbekende placeholders in tekst: {reinsert_result.get('unknown_placeholders', [])}") st.markdown(f"- Dubbele placeholders in sleutel: {reinsert_result.get('duplicate_placeholders', [])}") st.markdown(f"- Validatieproblemen: {reinsert_validation_issues}") st.markdown(f"- Lokaal uitgevoerd: {reinsert_result.get('local_only') is True}") st.markdown(f"- AI-verwerking: {reinsert_result.get('ai_processing') is True}") st.markdown(f"- Cloudverwerking: {reinsert_result.get('cloud_processing') is True}") if reinsert_result.get("unknown_placeholders"): st.warning("De tekst bevat placeholders die niet in de actieve Scrub Key staan.") if reinsert_result.get("duplicate_placeholders"): st.warning("De Scrub Key bevat dubbele placeholders. Deze zijn niet automatisch teruggezet.") if reinsert_result.get("placeholders_not_found"): st.caption("Niet alle mappingregels kwamen voor in de ingevoerde tekst.") ''' txt_reinsert_ui_block = ''' st.markdown("**TXT-bestand terugzetten**") st.warning("Let op: terugzetten herstelt originele gevoelige waarden. De uitvoer kan weer persoonsgegevens of vertrouwelijke informatie bevatten. Controleer het resultaat zorgvuldig voordat u het deelt.") st.caption("Upload een TXT-bestand met placeholders. Deze stap wordt lokaal uitgevoerd met uw Scrub Key. Er wordt geen AI- of cloudverwerking gebruikt voor het terugzetten.") active_txt_reinsert_scrub_key = st.session_state.get("active_scrub_key", {}) txt_reinsert_file = st.file_uploader( "Upload een TXT-bestand met placeholders", type=["txt"], key="txt_reinsert_file", help="Gebruik een lokaal TXT-bestand met Scrub placeholders die bij de geladen Scrub Key horen.", ) if st.button("Zet TXT-bestand lokaal terug", key="run_txt_file_reinsert"): if not active_txt_reinsert_scrub_key or not active_txt_reinsert_scrub_key.get("items"): st.warning("Laad eerst een geldige Scrub Key voordat u een TXT-bestand lokaal terugzet.") elif txt_reinsert_file is None: st.warning("Upload eerst een TXT-bestand met placeholders.") else: st.session_state["txt_reinsert_result"] = reinsert_txt_bytes( txt_reinsert_file.getvalue(), active_txt_reinsert_scrub_key, encoding="utf-8", ) if "txt_reinsert_result" in st.session_state: txt_reinsert_result = st.session_state["txt_reinsert_result"] txt_reinsert_validation_issues = txt_reinsert_result.get("validation_issues", []) if txt_reinsert_validation_issues: st.warning("TXT terugzetten kan niet betrouwbaar worden uitgevoerd: " + "; ".join(txt_reinsert_validation_issues[:3])) elif txt_reinsert_result.get("replacement_count", 0) > 0: st.success(f"{txt_reinsert_result.get('replacement_count', 0)} waarde(n) lokaal teruggezet in het TXT-bestand.") else: st.info("Er zijn geen placeholders teruggezet in het TXT-bestand. Controleer of de tekst placeholders bevat die in de Scrub Key staan.") st.text_area( "Herstelde TXT-tekst", value=txt_reinsert_result.get("text", ""), height=220, key="txt_reinsert_output_text", ) st.download_button( "Download hersteld TXT-bestand (.txt)", data=txt_reinsert_result.get("content_bytes", txt_reinsert_result.get("text", "").encode("utf-8")), file_name="solidprivacy_hersteld_txt_bestand.txt", mime="text/plain", ) with st.expander("Controleverslag TXT terugzetten", expanded=True): st.markdown(f"- Documenttype: {txt_reinsert_result.get('document_type', 'txt')}") st.markdown(f"- Mappingregels totaal: {txt_reinsert_result.get('item_count', 0)}") st.markdown(f"- Actieve mappingregels: {txt_reinsert_result.get('active_item_count', 0)}") st.markdown(f"- Uitgesloten mappingregels: {txt_reinsert_result.get('excluded_item_count', 0)}") st.markdown(f"- Aantal teruggezette waarden: {txt_reinsert_result.get('replacement_count', 0)}") st.markdown(f"- Niet gevonden placeholders: {txt_reinsert_result.get('placeholders_not_found', [])}") st.markdown(f"- Onbekende placeholders in tekst: {txt_reinsert_result.get('unknown_placeholders', [])}") st.markdown(f"- Dubbele placeholders in sleutel: {txt_reinsert_result.get('duplicate_placeholders', [])}") st.markdown(f"- Validatieproblemen: {txt_reinsert_validation_issues}") st.markdown(f"- Lokaal uitgevoerd: {txt_reinsert_result.get('local_only') is True}") st.markdown(f"- AI-verwerking: {txt_reinsert_result.get('ai_processing') is True}") st.markdown(f"- Cloudverwerking: {txt_reinsert_result.get('cloud_processing') is True}") if txt_reinsert_result.get("unknown_placeholders"): st.warning("Het TXT-bestand bevat placeholders die niet in de actieve Scrub Key staan.") if txt_reinsert_result.get("duplicate_placeholders"): st.warning("De Scrub Key bevat dubbele placeholders. Deze zijn niet automatisch teruggezet.") if txt_reinsert_result.get("placeholders_not_found"): st.caption("Niet alle mappingregels kwamen voor in het TXT-bestand.") ''' docx_reinsert_ui_block = ''' st.markdown("**DOCX-bestand terugzetten**") st.warning("Let op: terugzetten herstelt originele gevoelige waarden. De uitvoer kan weer persoonsgegevens of vertrouwelijke informatie bevatten. Controleer het resultaat zorgvuldig voordat u het deelt.") st.caption("Upload een DOCX-bestand met placeholders. Deze stap wordt lokaal uitgevoerd met uw Scrub Key. Er wordt geen AI- of cloudverwerking gebruikt voor het terugzetten.") st.info("Let op: DOCX-terugzetten ondersteunt in deze versie normale documenttekst en tabellen. Headers, footers, opmerkingen, bijgehouden wijzigingen en placeholders die door Word over meerdere tekstfragmenten zijn gesplitst worden nog niet volledig ondersteund.") active_docx_reinsert_scrub_key = st.session_state.get("active_scrub_key", {}) docx_reinsert_file = st.file_uploader( "Upload een DOCX-bestand met placeholders", type=["docx"], key="docx_reinsert_file", help="Gebruik een lokaal DOCX-bestand met Scrub placeholders die bij de geladen Scrub Key horen.", ) if st.button("Zet DOCX-bestand lokaal terug", key="run_docx_file_reinsert"): if not active_docx_reinsert_scrub_key or not active_docx_reinsert_scrub_key.get("items"): st.warning("Laad eerst een geldige Scrub Key voordat u een DOCX-bestand lokaal terugzet.") elif docx_reinsert_file is None: st.warning("Upload eerst een DOCX-bestand met placeholders.") else: st.session_state["docx_reinsert_result"] = reinsert_docx_bytes( docx_reinsert_file.getvalue(), active_docx_reinsert_scrub_key, ) if "docx_reinsert_result" in st.session_state: docx_reinsert_result = st.session_state["docx_reinsert_result"] docx_reinsert_validation_issues = docx_reinsert_result.get("validation_issues", []) if docx_reinsert_validation_issues: st.warning("DOCX terugzetten kan niet betrouwbaar worden uitgevoerd: " + "; ".join(docx_reinsert_validation_issues[:3])) elif docx_reinsert_result.get("replacement_count", 0) > 0: st.success("DOCX-bestand lokaal teruggezet") st.success(f"{docx_reinsert_result.get('replacement_count', 0)} waarde(n) lokaal teruggezet in het DOCX-bestand.") else: st.info("Er zijn geen placeholders teruggezet in het DOCX-bestand. Controleer of de tekst placeholders bevat die in de Scrub Key staan.") st.download_button( "Download hersteld DOCX-bestand (.docx)", data=docx_reinsert_result.get("docx_bytes", b""), file_name="solidprivacy_hersteld_docx_bestand.docx", mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document", ) with st.expander("Controleverslag DOCX terugzetten", expanded=True): st.markdown(f"- Documenttype: {docx_reinsert_result.get('document_type', 'docx')}") st.markdown(f"- Mappingregels totaal: {docx_reinsert_result.get('item_count', 0)}") st.markdown(f"- Actieve mappingregels: {docx_reinsert_result.get('active_item_count', 0)}") st.markdown(f"- Uitgesloten mappingregels: {docx_reinsert_result.get('excluded_item_count', 0)}") st.markdown(f"- Aantal teruggezette waarden: {docx_reinsert_result.get('replacement_count', 0)}") st.markdown(f"- Niet gevonden placeholders: {docx_reinsert_result.get('placeholders_not_found', [])}") st.markdown(f"- Onbekende placeholders in tekst: {docx_reinsert_result.get('unknown_placeholders', [])}") st.markdown(f"- Dubbele placeholders in sleutel: {docx_reinsert_result.get('duplicate_placeholders', [])}") st.markdown(f"- Validatieproblemen: {docx_reinsert_validation_issues}") st.markdown(f"- Lokaal uitgevoerd: {docx_reinsert_result.get('local_only') is True}") st.markdown(f"- AI-verwerking: {docx_reinsert_result.get('ai_processing') is True}") st.markdown(f"- Cloudverwerking: {docx_reinsert_result.get('cloud_processing') is True}") st.markdown(f"- DOCX-beperkingen: {docx_reinsert_result.get('limitations', [])}") for docx_limitation in docx_reinsert_result.get("limitations", []): st.caption(docx_limitation) if docx_reinsert_result.get("unknown_placeholders"): st.warning("Het DOCX-bestand bevat placeholders die niet in de actieve Scrub Key staan.") if docx_reinsert_result.get("duplicate_placeholders"): st.warning("De Scrub Key bevat dubbele placeholders. Deze zijn niet automatisch teruggezet.") if docx_reinsert_result.get("placeholders_not_found"): st.caption("Niet alle mappingregels kwamen voor in het DOCX-bestand.") ''' review_summary_block = ''' st.subheader("4. Download opgeschoonde bestanden") final_review_summary = build_review_summary(edited_replacements_df) st.markdown("**Eindcontrole vóór download**") if final_review_summary.get("open_candidate_warning") or final_review_summary.get("checked_rows_included_in_export", 0) == 0: st.warning(final_review_summary.get("readiness_label", "Controle nodig voor export")) else: st.success(final_review_summary.get("readiness_label", "Klaar voor export na gebruikerscontrole")) st.markdown(review_summary_markdown(final_review_summary)) export_sanity_checks = build_export_sanity_checks(edited_replacements_df) st.markdown("**Extra exportcontrole**") for export_sanity_warning in export_sanity_warnings(export_sanity_checks): st.warning(export_sanity_warning) st.caption("Deze exportcontrole is adviserend: downloads blijven beschikbaar en de exportinstellingen blijven ongewijzigd.") st.markdown("**Scrub Key (JSON)**") st.warning("Let op: een Scrub Key maakt de vervangen waarden lokaal herleidbaar. Dit is pseudonimisering, geen volledige anonimisering. Deel deze sleutel niet met AI-diensten of derden tenzij dat bewust en toegestaan is.") ''' + scrub_key_mapping_block + ''' scrub_key_issues = validate_scrub_key(scrub_key) if scrub_key_issues: st.warning("Scrub Key kan nog niet betrouwbaar worden geëxporteerd: " + "; ".join(scrub_key_issues[:3])) else: if scrub_key.get("item_count", 0) == 0: st.info("Er zijn geen geselecteerde vervangingen voor de Scrub Key. De JSON bevat dan geen mapping-items.") st.download_button( "Download Scrub Key (.json)", data=scrub_key_to_json(scrub_key), file_name="solidprivacy_scrub_key.json", mime="application/json", ) st.warning(EXPORT_GUIDANCE) ''' text = replace_once( text, ''' st.subheader("4. Download opgeschoonde bestanden") st.warning(EXPORT_GUIDANCE) ''', review_summary_block, ) text = replace_once( text, ''' st.subheader("4. Download opgeschoonde bestanden") ''', review_summary_block, ) text = replace_once( text, ''' "source": safe_cell(row.get("source", "")), "reason": safe_cell(row.get("reason", "")), ''', ''' "source": safe_cell(row.get("source", "")), "review_status": safe_cell(row.get("review_status", "")), "review_status_label": safe_cell(row.get("review_status_label", "")), "reason": safe_cell(row.get("reason", "")), ''', ) # Clean up the v13.6 skeleton-only tabs if this patch runs on an already-patched app file. old_two_mode_intro = '''st.info(LOCAL_PROCESSING_NOTE) st.markdown("**Kies werkmodus**") two_mode_anon_tab, two_mode_reinsert_tab = st.tabs(["Anonimiseren", "Originele waarden terugzetten"]) with two_mode_anon_tab: st.caption("Anonimiseren: upload of plak brontekst, controleer gevonden gegevens en download opgeschoonde uitvoer.") with two_mode_reinsert_tab: st.caption("Originele waarden terugzetten: laad een Scrub Key en gebruik de bestaande lokale tekst-terugzetflow verderop in deze app.") with st.expander("Over deze app", expanded=False): ''' text = text.replace(old_two_mode_intro, 'st.info(LOCAL_PROCESSING_NOTE)\n\nwith st.expander("Over deze app", expanded=False):\n') two_mode_selection_block = '''st.markdown("**Kies werkmodus**") solidprivacy_work_mode = st.radio( "Werkmodus", ["Anonimiseren", "Originele waarden terugzetten"], horizontal=True, key="solidprivacy_work_mode", help="Kies Anonimiseren voor opschonen en export. Kies Originele waarden terugzetten voor lokaal terugzetten met een Scrub Key.", ) if solidprivacy_work_mode == "Originele waarden terugzetten": st.caption("Originele waarden terugzetten: laad een Scrub Key en herstel placeholders lokaal in geplakte tekst.") ''' + scrub_key_import_ui_block + reinsert_ui_block + txt_reinsert_ui_block + docx_reinsert_ui_block + '''else: ''' mode_marker = 'st.info(LOCAL_PROCESSING_NOTE)\n\nwith st.expander("Over deze app", expanded=False):\n' if mode_marker in text and 'solidprivacy_work_mode = st.radio(' not in text: head, tail = text.split('with st.expander("Over deze app", expanded=False):\n', 1) if head.endswith('st.info(LOCAL_PROCESSING_NOTE)\n\n'): anonymization_flow = 'with st.expander("Over deze app", expanded=False):\n' + tail text = head + two_mode_selection_block + indent_block(anonymization_flow) APP_FILE.write_text(text, encoding="utf-8")