support for `--update-score' after manual update of score.json
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commit
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@ -1,7 +1,7 @@
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#+title: Script
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#+author: Sébastien Miquel
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#+date: 14-03-2026
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# Time-stamp: <02-06-26 09:26>
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# Time-stamp: <06-06-26 10:10>
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#+OPTIONS:
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* Méta
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@ -245,7 +245,10 @@ OU
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Si un nom est =Unknown= : renommer à la main le dossier et le fichier dedans.
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On peut faire des changements manuels aux =score.json= ici.
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4. On peut faire des changements manuels aux =score.json= ici, puis
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- `python reading_annotations.py --update-score Interro`
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- `python reading_grouped_annotations.py --update-score Interro`
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pour mettre à jour les scores dans les images.
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4. (gestion perso)
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+ =gestion_classe ne= pour créer l'interro puis
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+ =gestion_classe we= (set barème here)
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@ -161,7 +161,8 @@ def has_significant_notes(note_img, threshold=20):
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# print(f"Debug : visible pixels is {visible_pixels}")
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return visible_pixels > threshold
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def apply_actions_and_regenerate(root_dir, data, student_id, actions, notes_layer, all_labels):
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def apply_actions_and_regenerate(root_dir, data, student_id, actions, notes_layer,
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all_labels, update_score=False):
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"""
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Modifies data based on actions, reads bnote.json, cuts notes,
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regenerates all label images for consistency, saves dirty ones,
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@ -230,6 +231,23 @@ def apply_actions_and_regenerate(root_dir, data, student_id, actions, notes_laye
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print(f" > Deleted rect in {label}")
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dirty_labels.add(label)
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# --- 1.5 Override with existing score.json if requested ---
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if update_score and os.path.exists(score_path):
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try:
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with open(score_path, "r") as f:
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existing_scores = json.load(f)
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for label, existing_score in existing_scores.items():
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if label in labels_data:
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current_score = str(labels_data[label]['result'].get('score', 0))
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# If manually modified, override the result and mark dirty
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if current_score != str(existing_score):
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labels_data[label]['result']['score'] = existing_score
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dirty_labels.add(label)
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print(f" > Overrode score for {label} to {existing_score} from existing score.json")
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except json.JSONDecodeError:
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print(f" > Warning: Could not read existing {score_path}")
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# --- 2. Process Images (Cut notes, Regenerate, Concatenate) ---
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concat_list = []
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concat_list_F = []
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@ -332,11 +350,13 @@ def apply_actions_and_regenerate(root_dir, data, student_id, actions, notes_laye
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from utils import read_all_labels
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if __name__ == "__main__":
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if len(sys.argv) < 2:
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print("Usage: python reading_annotations.py <Dir>")
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sys.exit(1)
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import argparse
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parser = argparse.ArgumentParser(description="Read annotations and compile PDFs")
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parser.add_argument("input_path", help="Directory path")
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parser.add_argument("--update-score", action="store_true", help="Override scores with values from existing score.json")
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args = parser.parse_args()
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root_dir = sys.argv[1]
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root_dir = args.input_path
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try:
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all_labels = read_all_labels(Path(root_dir))
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@ -352,7 +372,9 @@ if __name__ == "__main__":
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if os.path.exists(bnot_dir):
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print(f"Processing annotations for: {student_id}")
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actions, notes = detect_checks_and_notes(bnot_dir)
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if actions or notes:
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apply_actions_and_regenerate(root_dir, original_data, student_id, actions, notes, all_labels)
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if actions or notes or args.update_score:
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apply_actions_and_regenerate(root_dir, original_data, student_id,
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actions, notes, all_labels,
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update_score=args.update_score)
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else:
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print(" No changes detected or missing files.")
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@ -91,7 +91,8 @@ def save_paginated_pdf(image_groups, output_path):
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pages[0].save(output_path, "PDF", resolution=100.0, save_all=True, append_images=pages[1:])
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def apply_actions_and_regenerate_grouped(root_dir, data, student_id,
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actions, label_notes, all_labels):
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actions, label_notes, all_labels,
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update_score=False):
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"""
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Modifies data based on actions, pastes label-specific note crops,
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regenerates label images for consistency, saves dirty ones,
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@ -155,6 +156,23 @@ def apply_actions_and_regenerate_grouped(root_dir, data, student_id,
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logs.append(f" > Deleted rect in {label}")
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dirty_labels.add(label)
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# --- 1.5 Override with existing score.json if requested ---
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if update_score and os.path.exists(score_path):
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try:
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with open(score_path, "r") as f:
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existing_scores = json.load(f)
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for label, existing_score in existing_scores.items():
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if label in labels_data:
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current_score = str(labels_data[label]['result'].get('score', 0))
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# If manually modified, override the result and mark dirty
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if current_score != str(existing_score):
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labels_data[label]['result']['score'] = existing_score
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dirty_labels.add(label)
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logs.append(f" > Overrode score for {label} to {existing_score} from existing score.json")
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except json.JSONDecodeError:
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logs.append(f" > Warning: Could not read existing {score_path}")
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# --- 2. Process Images (Regenerate & Concatenate) ---
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concat_list = []
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concat_list_F = []
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@ -258,6 +276,7 @@ if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Read grouped annotations and compile PDFs")
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parser.add_argument("input_path", help="Directory path")
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parser.add_argument("--refaire", action="store_true", help="Merge refaire annotations from Bnot")
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parser.add_argument("--update-score", action="store_true", help="Override scores with values from existing score.json")
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args = parser.parse_args()
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root_dir = sys.argv[1]
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@ -396,7 +415,8 @@ if __name__ == "__main__":
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sid,
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actions_by_student[sid],
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notes_by_student[sid],
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all_labels
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all_labels,
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update_score=args.update_score
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)
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# --- 2. Process each student concurrently using 4 threads ---
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