Initial commit for finalisation web interface

copienator/commands/reading_annotations.py

@@ -1,5 +1,8 @@
 from __future__ import annotations
 
+from copy import deepcopy
+from copienator import review_snapshot
+
 import argparse
 from collections.abc import Sequence
 from pathlib import Path
@@ -160,6 +163,7 @@ def apply_actions_and_regenerate(
     *,
     update_score: bool = False,
     label_notes: dict[str, Image.Image] | None = None,
+    review_metadata: dict | None = None,
 ) -> ExitCode:
     """Apply annotations and atomically merge the regenerated student files."""
     output_dir = workspace.annotation_dir("checks") / f"Copie{student_id}"
@@ -168,15 +172,17 @@ def apply_actions_and_regenerate(
         content["result"].get("error") == "empty-answer"
         for content in data[student_id].values()
     )
-    if not bnote_path.is_file() and not only_empty:
+    if review_metadata is None and not bnote_path.is_file() and not only_empty:
         print(f"  Missing {bnote_path}")
         return ExitCode.PARTIAL
-    bnote_data = read_json(bnote_path) if bnote_path.is_file() else {"images": []}
+    bnote_data = review_metadata if review_metadata is not None else (read_json(bnote_path) if bnote_path.is_file() else {"images": []})
     if not isinstance(bnote_data, dict):
         raise TypeError(f"Expected a JSON object in {bnote_path}")
 
     labels_data = data[student_id]
     apply_checkbox_actions(labels_data, actions, print)
+    reviewed_data = deepcopy(labels_data)
+    captured_notes = {}
     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()
@@ -217,6 +223,8 @@ def apply_actions_and_regenerate(
             hmin = int(image_info.get("hmin", 0))
             hmax = int(image_info.get("hmax", 0))
             sub_note = notes_layer.crop((0, hmin, notes_layer.width, hmax))
+        if sub_note is not None:
+            captured_notes[label] = {"img": sub_note}
         has_notes = has_significant_notes(sub_note)
 
         pdf_path = Path(content["pdf_path"])
@@ -288,6 +296,7 @@ def apply_actions_and_regenerate(
                 workspace.root, [(label, dirty_images[label]) for label in filtered_labels],
                 all_labels, staging / "Concat_F.pdf", general=general,
             )
+        review_snapshot.stage(output_dir, staging, reviewed_data, captured_notes, engine="standard", bnote=bnote_data)
         stage_baseline(workspace.root, "Bnot", output_dir, staging, dirty_images,
                        header_heights, build_answer_info(scores, labels_data, answer_labels),
                        filtered_labels, scores)