"""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: add a user-facing review status model to the replacement table. - v12.2: add safe review-focus filters without changing export semantics. """ 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 # v9 compatibility: Streamlit does not allow an expander inside another expander. nested_old = ''' 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.") ''' nested_new = ''' 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.") ''' text = replace_once(text, nested_old, nested_new) # v12.1/v12.2: import review helpers. 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', ) # If v12.1 already added review_status but v12.2 is not present yet, extend imports only. text = replace_once( text, 'from review_status import review_status_for_source, review_status_label, review_status_order\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', ) # v12.1: add review status fields to remembered rows. text = replace_once( text, ''' "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", ''', ) # v12.1: add review status fields to automatically detected rows. text = replace_once( text, ''' "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", ''', ) # v12.1: add review status fields to candidate rows. text = replace_once( text, ''' "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"), ''', ) # v12.1: add review status fields to empty/manual fallback rows. text = replace_once( text, ''' "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", ''', ) # v12.1/v12.2: sort review rows, show a status summary and add focus filters. text = replace_once( text, ''' replacement_editor_df = pd.DataFrame(default_editor_rows) edited_replacements_df = st.data_editor( ''', ''' replacement_editor_df = pd.DataFrame(default_editor_rows) 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: " + " ยท ".join(status_parts)) review_filter = st.selectbox( "Focusfilter voor controle", REVIEW_FILTER_OPTIONS, index=REVIEW_FILTER_OPTIONS.index(FILTER_SHOW_ALL), help="Gebruik dit als overzichtsfilter. De volledige vervangtabel hieronder blijft leidend voor de export.", ) 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.") edited_replacements_df = st.data_editor( ''', ) # v12.1: make status visible in the editor. text = replace_once( text, ''' "include", "remember", "find", ''', ''' "include", "remember", "review_status_label", "find", ''', ) 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." ), ''', ) # v12.1: include status in the scrub report rows where downstream exporters keep it. 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", "")), ''', ) APP_FILE.write_text(text, encoding="utf-8")