168 lines
5.9 KiB
Python
168 lines
5.9 KiB
Python
import argparse
|
|
import math
|
|
import shutil
|
|
import sys
|
|
from pathlib import Path
|
|
|
|
import pandas as pd
|
|
from PIL import Image, ImageDraw, ImageFont
|
|
|
|
from copienator.configuration import (
|
|
FINAL_SCORE_FONT_PATH,
|
|
FINAL_SCORE_HISTOGRAM_PATH,
|
|
FINAL_SCORE_ODS_PATH,
|
|
FINAL_SCORE_OUTPUT_DIR,
|
|
)
|
|
|
|
# Configuration constants
|
|
ODS_PATH = Path(FINAL_SCORE_ODS_PATH).expanduser()
|
|
OUTPUT_DIR = Path(FINAL_SCORE_OUTPUT_DIR).expanduser()
|
|
HISTOGRAM_PATH = Path(FINAL_SCORE_HISTOGRAM_PATH).expanduser()
|
|
|
|
|
|
def score_font(size):
|
|
candidates = [FINAL_SCORE_FONT_PATH, "DejaVuSans-Bold.ttf", "arial.ttf"]
|
|
for candidate in candidates:
|
|
if not candidate:
|
|
continue
|
|
try:
|
|
return ImageFont.truetype(str(candidate), size)
|
|
except OSError:
|
|
continue
|
|
return ImageFont.load_default()
|
|
|
|
def get_rounded_score(score):
|
|
"""Round score to one decimal place below (floor)."""
|
|
try:
|
|
val = float(score)
|
|
return math.floor(val * 10) / 10
|
|
except (ValueError, TypeError):
|
|
return None
|
|
|
|
|
|
def copy_return_artifacts(source_dir: Path, destination_dir: Path) -> None:
|
|
"""Copy the metadata and optional individual answers for one student."""
|
|
for filename in ("score.json", "info.json"):
|
|
source = source_dir / filename
|
|
if source.is_file():
|
|
shutil.copy2(source, destination_dir / filename)
|
|
else:
|
|
print(f"Warning: Missing '{source}'.")
|
|
|
|
answers_source = source_dir / "answers"
|
|
answers_destination = destination_dir / "answers"
|
|
if answers_destination.is_symlink():
|
|
answers_destination.unlink()
|
|
elif answers_destination.is_dir():
|
|
shutil.rmtree(answers_destination)
|
|
if answers_source.is_dir():
|
|
shutil.copytree(answers_source, answers_destination)
|
|
|
|
|
|
def copy_histogram(output_dir: Path) -> None:
|
|
"""Copy the score histogram beside the per-student output folders."""
|
|
if not HISTOGRAM_PATH.is_file():
|
|
print(f"Warning: Missing histogram '{HISTOGRAM_PATH}'.")
|
|
return
|
|
destination = output_dir / "histogramme.pdf"
|
|
shutil.copy2(HISTOGRAM_PATH, destination)
|
|
print(f"Copied histogram: {destination}")
|
|
|
|
def process_images(base_dir, output_dir):
|
|
# 1. Load Data
|
|
try:
|
|
# header=None assumes the file starts directly with data.
|
|
# If row 0 is a header, change to header=0
|
|
df = pd.read_excel(ODS_PATH, engine="odf", header=None)
|
|
# Create a lookup dictionary: {Name: Score}
|
|
score_db = dict(zip(df[0], df[1]))
|
|
except Exception as e:
|
|
print(f"CRITICAL ERROR: Could not read ODS file.\n{e}")
|
|
sys.exit(1)
|
|
|
|
# 2. Prepare Output Directory
|
|
output_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
# 3. Iterate Files
|
|
# Structure: Dir/A Rendre/{name}/{name}.jpg
|
|
search_path = base_dir / "A Rendre"
|
|
|
|
if not search_path.exists():
|
|
print(f"Error: Directory '{search_path}' not found.")
|
|
sys.exit(1)
|
|
|
|
for student_source in sorted(path for path in search_path.iterdir() if path.is_dir()):
|
|
image_paths = sorted(student_source.glob("*.jpg"))
|
|
pdf_paths = sorted(student_source.glob("*.pdf"))
|
|
media_paths = image_paths or pdf_paths
|
|
if not media_paths:
|
|
print(f"Error: No JPG or PDF found in '{student_source}'.")
|
|
continue
|
|
|
|
student_name = media_paths[0].stem
|
|
student_output = output_dir / student_name
|
|
student_output.mkdir(parents=True, exist_ok=True)
|
|
# Remove files produced by the former flat output layout when migrating
|
|
# an existing export directory.
|
|
for suffix in (".jpg", ".pdf"):
|
|
legacy_output = output_dir / f"{student_name}{suffix}"
|
|
if legacy_output.is_file() or legacy_output.is_symlink():
|
|
legacy_output.unlink()
|
|
copy_return_artifacts(student_source, student_output)
|
|
|
|
# 4. Find Score
|
|
if student_name not in score_db:
|
|
print(f"Error: Student '{student_name}' not found in ODS file.")
|
|
else:
|
|
raw_score = score_db[student_name]
|
|
score = get_rounded_score(raw_score)
|
|
|
|
if score is None:
|
|
print(f"Error: Invalid score '{raw_score}' for '{student_name}'.")
|
|
else:
|
|
# 5. Process Images
|
|
for img_path in image_paths:
|
|
try:
|
|
with Image.open(img_path) as img:
|
|
img = img.convert("RGB")
|
|
draw = ImageDraw.Draw(img)
|
|
width, _height = img.size
|
|
|
|
font_size = int(width * 0.08)
|
|
font = score_font(font_size)
|
|
text = str(score)
|
|
|
|
bbox = draw.textbbox((0, 0), text, font=font)
|
|
text_w = bbox[2] - bbox[0]
|
|
|
|
# 30px padding, top right.
|
|
x = width - text_w - 30
|
|
y = 30
|
|
draw.text((x, y), text, fill=(255, 0, 0), font=font)
|
|
|
|
img.save(student_output / img_path.name)
|
|
print(f"Processed: {student_name} -> {score}")
|
|
except Exception as e:
|
|
print(f"Error processing image for '{student_name}': {e}")
|
|
|
|
for pdf_path in pdf_paths:
|
|
shutil.copy2(pdf_path, student_output / pdf_path.name)
|
|
|
|
copy_histogram(output_dir)
|
|
|
|
|
|
def main(argv=None):
|
|
parser = argparse.ArgumentParser(description="Stamp scores on exam copies.")
|
|
parser.add_argument("dir", type=Path, help="Root directory containing 'A Rendre' folder")
|
|
args = parser.parse_args(argv)
|
|
|
|
base_dir = args.dir.expanduser().resolve()
|
|
output_dir = OUTPUT_DIR / base_dir.name
|
|
output_dir.mkdir(parents=True, exist_ok=True)
|
|
process_images(base_dir, output_dir)
|
|
return 0
|
|
|
|
|
|
if __name__ == "__main__":
|
|
raise SystemExit(main())
|