Small fix to alignement

annotating.py

@@ -225,24 +225,26 @@ import matplotlib.pyplot as plt
 import matplotlib.colors as mcolors
 from highlight_text import ax_text
 
-def render_score_text(label, score, error, width_px, fontsize=18,
+def color(score):
-                      bg_color=(255, 255, 255, 255),
-                      with_error=True):
-    # 1. Calculate Color Gradient
     t = max(0.0, min(1.0, float(score) / 4.0))
     t = t*1.5 - 0.25
     t = max(0.0, min(1.0, t))
     red = 200 * (1 - t)
     green = 150 * t
-    hex_color = mcolors.to_hex((red/255, green/255, 0))
+    return mcolors.to_hex((red/255, green/255, 0))
+
+def render_score_text(label, score, error, width_px, fontsize=18,
+                      bg_color=(255, 255, 255, 255),
+                      with_error=True):
+    # 1. Calculate Color Gradient
 
     # 2. Build highlight-text String & Properties
     # Wrap colored parts in < >
-    score_str = f"{label}   ;   Note : <{score}>"
+    score_str = f"{label}    Note : <{score}>"
-    hl_props = [{"color": hex_color, "fontweight": "bold"}]
+    hl_props = [{"color": color(score), "fontweight": "bold"}]
 
     if error and error != "null" and with_error:
-        score_str += f"   |   <Error: {error}>"
+        score_str += f"   <{error}>"
         hl_props.append({"color": "orange", "fontweight": "bold"})
 
     # 3. Wrap Text
@@ -250,19 +252,16 @@ def render_score_text(label, score, error, width_px, fontsize=18,
     fig_width = width_px / dpi
     chars_per_line = int(fig_width * 10)
 
-    # Note: Since there is no LaTeX anymore, standard textwrap works well here
+    # wrapped_text = textwrap.fill(score_str, width=chars_per_line)
-    import textwrap
-    wrapped_text = textwrap.fill(score_str, width=chars_per_line)
 
-    # 4. Render using highlight_text.ax_text
+    # fig_height = 0.4 + 0.2
-    num_lines = wrapped_text.count('\n') + 1
+    fig_height = 0.8
-    fig_height = num_lines * 0.4 + 0.2
 
     fig, ax = plt.subplots(figsize=(fig_width, fig_height), dpi=dpi)
     ax.axis('off')
 
     # Replaces plt.text
-    ax_text(0.01, 0.95, wrapped_text,
+    ax_text(0.02, 0.98, score_str,
             fontsize=fontsize,
             verticalalignment='top',
             horizontalalignment='left',
@@ -270,7 +269,9 @@ def render_score_text(label, score, error, width_px, fontsize=18,
             ax=ax)
 
     buf = io.BytesIO()
-    plt.savefig(buf, format='png', bbox_inches='tight', pad_inches=0.1, transparent=True)
+    # Issues with tight bbox_inches.
+    # plt.savefig(buf, format='png', bbox_inches='tight', pad_inches=0.05, transparent=True)
+    plt.savefig(buf, format='png', pad_inches=0.05, transparent=True)
     plt.close(fig)
     buf.seek(0)
 

annotating_with_checks.py

@@ -59,7 +59,7 @@ class CheckboxRenderer:
                 # Draw score boxes
                 start_x = pos['w'] + 20
                 for val in SCORES:
-                    box = draw_checkbox(draw, start_x, pos['y'] + 5, BOX_SIZE, str(val))
+                    box = draw_checkbox(draw, start_x, pos['y'] + 25, BOX_SIZE, str(val))
                     self.checkboxes.append({
                         "type": "score", "label": self.label, "value": val,
                         "rel_box": box # Will be adjusted for global Y later

reading_annotations.py

@@ -17,7 +17,7 @@ def detect_checks_and_notes(output_dir):
         notes_img: RGBA image of manual notes (checks masked out)
     """
 
-    names = ["Concat_annotated.pdf", "Concat_a.pdf"]
+    names = ["Concat_annotated.pdf"]
     for name in names:
         pdf_path = os.path.join(output_dir, name)
         if os.path.exists(pdf_path):