Initial commit for finalisation web interface

copienator/commands/reading_grouped_annotations.py

@@ -1,5 +1,8 @@
 from __future__ import annotations
 
+from copy import deepcopy
+from copienator import review_snapshot
+
 import argparse
 import concurrent.futures
 import unicodedata
@@ -231,12 +234,14 @@ def apply_actions_and_regenerate_grouped(
     update_score: bool = False,
     annotation_dir: str = "BGnot",
     selected_labels: set[str] | None = None,
+    force_filtered: set[str] | None = None,
 ) -> tuple[ExitCode, str]:
     """Regenerate a copy, preserving reviewed images outside the redo selection."""
     logs = [f"\nProcessing compilation for: Copie{student_id}"]
     output_dir = workspace.root / annotation_dir / f"Copie{student_id}"
     labels_data = data.get(student_id, {})
     apply_checkbox_actions(labels_data, actions, logs.append)
+    reviewed_data = deepcopy(labels_data)
     apply_custom_remarks(workspace.root, student_id, labels_data)
     score_path = output_dir / "score.json"
     preserve_score_file = update_score and score_path.is_file()
@@ -400,7 +405,7 @@ def apply_actions_and_regenerate_grouped(
         perfect = float(scores[label]) >= 4.0 and all(
             feedback.get("to_delete", False) for feedback in feedbacks
         )
-        if not perfect or has_notes:
+        if not perfect or has_notes or label in (force_filtered or set()):
             filtered_labels.append(label)
             extras = (
                 get_extra_pdfs_as_images(workspace.root, label, annotating, all_labels,
@@ -450,6 +455,10 @@ def apply_actions_and_regenerate_grouped(
                         [(label, dirty_images[label]) for label in filtered_labels],
                         all_labels, staging / "Concat_F.pdf", general=general,
                     )
+        if annotation_dir in {"Bnot", "BGnot"}:
+            review_snapshot.stage(output_dir, staging, reviewed_data, label_notes,
+                                  engine="grouped", selected=selected_labels,
+                                  force_filtered=(set(filtered_labels) - selected_labels) if selected_labels else (force_filtered or ()))
         stage_baseline(workspace.root, annotation_dir, output_dir, staging, dirty_images,
                        header_heights, build_answer_info(scores, labels_data, answer_labels, touched),
                        filtered_labels, scores)