Restructuration de l'application
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import argparse
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import json
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import os
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import sys
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from pathlib import Path
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import ezodf
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from copienator.configuration import CURRENT_SCORE_ODS_PATH
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from copienator.utils import read_all_labels
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# Configuration
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ODS_PATH = Path(CURRENT_SCORE_ODS_PATH).expanduser()
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TARGET_DIR_NAME = "A Rendre"
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def main(argv=None):
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parser = argparse.ArgumentParser(description="Update ODS with student scores.")
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parser.add_argument("work_dir", nargs="?", default=os.getcwd(), help="Directory to process")
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parser.add_argument("--sum", action="store_true", help="Write only the total sum per student")
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args = parser.parse_args(argv)
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work_dir = os.path.abspath(args.work_dir)
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all_labels = read_all_labels(Path(work_dir))
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a_rendre_path = os.path.join(work_dir, TARGET_DIR_NAME)
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if not os.path.isdir(a_rendre_path):
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print(f"Error: Directory '{TARGET_DIR_NAME}' not found in {work_dir}")
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sys.exit(1)
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if not os.path.exists(ODS_PATH):
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print(f"Error: ODS file not found at {ODS_PATH}")
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sys.exit(1)
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print(f"Opening ODS file: {ODS_PATH}...")
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try:
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doc = ezodf.opendoc(str(ODS_PATH))
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except Exception as e:
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print(f"Failed to open ODS: {e}")
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sys.exit(1)
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# Assuming the data is in the first sheet
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sheet = doc.sheets[0]
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# Map Student Names to Column Indices
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# User specified: Names are in the second line (index 1)
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# User specified: Ignore first 3 columns (0, 1, 2)
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name_row_index = 1
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name_to_col = {}
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for col_idx in range(3, sheet.ncols()):
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cell = sheet[name_row_index, col_idx]
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if cell.value:
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# Normalize name: strip spaces
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name = str(cell.value).strip()
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name_to_col[name] = col_idx
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print(f"Found {len(name_to_col)} students in ODS.")
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# Iterate over folders in "A Rendre"
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for item in os.listdir(a_rendre_path):
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student_dir = os.path.join(a_rendre_path, item)
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# Check if it is a directory and has a name (ignoring the (ID) suffix if present from previous script)
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# The directory name might be "Name" or "Name (ID)".
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# The ODS usually contains just "Name".
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if not os.path.isdir(student_dir):
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continue
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# Extract strict name for ODS matching (remove potential ID suffix if added by previous tool)
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# Assuming the ODS name matches the folder name prefix
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# If folder is "Doe John (123)", ODS likely has "Doe John" or "Doe John (123)"?
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# Based on previous prompt, ODS has "AMELOT Gautier".
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# We try exact match first, then simplified match.
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json_path = os.path.join(student_dir, "score.json")
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if not os.path.exists(json_path):
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continue
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with open(json_path, 'r', encoding='utf-8') as f:
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try:
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scores_data = json.load(f)
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except json.JSONDecodeError:
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print(f"Error decoding JSON for {item}")
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continue
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# Determine Column Index
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col_idx = name_to_col.get(item)
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# If not found exact match, try stripping ID suffix e.g. "Name (123)" -> "Name"
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if col_idx is None and '(' in item:
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clean_name = item.rsplit('(', 1)[0].strip()
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col_idx = name_to_col.get(clean_name)
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if col_idx is None:
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print(f"Skipping '{item}': Name not found in ODS columns.")
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continue
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# Sort keys naturally (Ex 2 comes before Ex 10)
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# sorted_keys = natsorted(scores_data.keys())
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# Start filling from Row 2 (index 2), immediately below the name line
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start_row = 2
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if args.sum:
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# Calculate total
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total = 0.0
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for val in scores_data.values():
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try:
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total += float(val)
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except (ValueError, TypeError):
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continue
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cell = sheet[start_row, col_idx]
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cell.set_value(total)
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print(f"Set sum for {item}: {total}")
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else:
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for i, key in enumerate(all_labels):
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row_idx = start_row + i
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# Ensure we don't go out of bounds
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if row_idx >= sheet.nrows():
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sheet.append_rows(1)
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if key in scores_data:
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val_str = str(scores_data[key])
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else:
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val_str = ""
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# Logic: if "" -> "NT"
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new_val = "NT" if val_str == "" else val_str
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cell = sheet[row_idx, col_idx]
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current_val = cell.value
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# Conflict Detection
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# Normalize current ODS value to string for comparison
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# ODS might store 2.0 as float 2.0. JSON has "2.0".
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is_different = False
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if current_val is not None and current_val != "":
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# specific check to handle float/string mismatch (2.0 vs "2.0")
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try:
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if float(str(current_val)) != float(str(new_val)):
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is_different = True
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except ValueError:
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# If conversion fails (e.g. comparing "NT" to "2.0"), compare strings
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if str(current_val).strip() != str(new_val).strip():
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is_different = True
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if is_different:
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print(f"DEBUG: Conflict for {item} at {key} (Row {row_idx}). "
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f"Existing: '{current_val}' vs New: '{new_val}'. Overwriting.")
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# Set value
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# Try to set as float if it looks like a number, otherwise string
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if new_val == "NT":
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cell.set_value(new_val)
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else:
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try:
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cell.set_value(float(new_val))
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except ValueError:
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cell.set_value(new_val)
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print("Saving ODS file...")
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doc.save()
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print("Done.")
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if __name__ == "__main__":
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raise SystemExit(main())
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