Moving from matplotlib to pillow for score

annotating.py

@@ -103,6 +103,8 @@ import io
 import shutil
 from pdf2image import convert_from_path
 from PIL import Image, ImageDraw, ImageFont
+import matplotlib
+matplotlib.use('Agg')  # Force headless rendering
 import matplotlib.pyplot as plt
 
 # plt.rcParams.update({ "text.usetex": True,
@@ -302,8 +304,6 @@ def color(score):
 def render_score_text(label, score, error, width_px, fontsize=18,
                       bg_color=(255, 255, 255, 255),
                       with_error=True, id=None):
-    # 1. Calculate Color Gradient
-
     # 2. Build highlight-text String & Properties
     # Wrap colored parts in < >
     score_str = f"{label}    Note : <{score}>"
@@ -321,8 +321,6 @@ def render_score_text(label, score, error, width_px, fontsize=18,
     fig_width = width_px / dpi
     chars_per_line = int(fig_width * 10)
 
-    # wrapped_text = textwrap.fill(score_str, width=chars_per_line)
-
     # fig_height = 0.4 + 0.2
     fig_height = 0.8
 
@@ -561,6 +559,7 @@ def process_student(student_id, labels_data, root_dir, all_labels, overwrite):
 
 
 def process_correction(root_dir, data, all_labels, overwrite=False):
+
     # with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:
     #     # Create a list of futures
     #     futures = []

annotating_by_label.py

@@ -19,6 +19,7 @@ def render_item(item):
     student_id, label, content = item
     pdf_path = content['pdf_path']
     if not os.path.exists(pdf_path):
+        print("no pdf path")
         return None
 
     base_img, _, _ = annotating.make_base_image(pdf_path)
@@ -135,7 +136,7 @@ def main():
     os.makedirs(bgnot_dir, exist_ok=True)
 
     for line in lines:
-        labels = [l.replace(":", "").strip() for l in line.split(',') if l.strip()]
+        labels = [l.strip() for l in line.split(',') if l.strip()]
         if not labels:
             continue
 
@@ -154,7 +155,6 @@ def main():
             annotating_with_checks.natural_key(x[0]),
             annotating_with_checks.natural_key(x[1])
         ))
-
         # Render images in parallel using the pre-existing lock & render function
         with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:
             rendered = list(executor.map(render_item, items_to_render))

annotating_with_checks.py

@@ -8,8 +8,8 @@ import img2pdf
 from reportlab.pdfgen import canvas
 
 # Fix for Matplotlib in threads: Set backend to non-interactive 'Agg'
-# import matplotlib
-# matplotlib.use('Agg')
+import matplotlib
+matplotlib.use('Agg')
 
 from PIL import Image, ImageDraw, ImageFont
 import annotating