Multithreading

jpeg.py

@@ -6,9 +6,9 @@ from functools import partial
 import time
 
 def generate_certificate(template_path, font_path, name, output_path, index, font_size=50, text_color="black", y_offset=0):
-    # Open the certificate template image
     with Image.open(template_path) as image:
-        # For JPG compatibility, convert to RGB instead of RGBA
+
+        # Colorspace and Drawable Area
         image = image.convert("RGB")
         draw = ImageDraw.Draw(image)
 
@@ -18,19 +18,17 @@ def generate_certificate(template_path, font_path, name, output_path, index, fon
         # Image dimensions
         image_width, image_height = image.size
 
-        # Calculate the bounding box for the text
+        # bounding box for text
         bbox = draw.textbbox((0, 0), name, font=font)
         text_width = bbox[2] - bbox[0]
         text_height = bbox[3] - bbox[1]
 
-        # Calculate coordinates for centered text
+        # coordinates for centered text
         x = (image_width - text_width) / 2
         y = (image_height - text_height) / 2 + y_offset
 
-        # Draw the text onto the certificate image
         draw.text((x, y), name, fill=text_color, font=font)
 
-        # Save the image as JPG
         output_filename = os.path.join(output_path, f"certificate_{index:03d}.jpg")
         image.save(output_filename, quality=95)  # Set JPG quality
         print(f"Saved certificate for {name} as {output_filename}")
@@ -41,7 +39,7 @@ def process_certificate(row, i, template_path, font_path, output_folder, font_si
 
 def main():
     start_time = time.time()
-    template_path = "cert.jpg"           # Certificate template image filename (JPG format)
+    template_path = "cert.jpg"            # Certificate template image filename (JPG format)
     font_path = "CrimsonText-Bold.ttf"    # Path to the font file (TTF or OTF)
     csv_file = "participants.csv"         # CSV file containing the name list
     output_folder = "certificates"        # Output folder for generated certificates
@@ -49,19 +47,19 @@ def main():
     text_color = "black"
     y_offset = -82
 
-    # Optimal number of workers
+    # number of workers - for multithreading
     cpu_count = os.cpu_count()
     max_workers = min(32, (cpu_count + 4) if cpu_count is not None else 4)
 
     if not os.path.exists(output_folder):
         os.makedirs(output_folder)
 
-    # Read all data from CSV at once
+    # concurrent reading from CSV
     with open(csv_file, newline='', encoding='utf-8') as csvfile:
         reader = csv.DictReader(csvfile)
         participants = list(reader)
 
-    # Create a partial function with all the fixed parameters
+    # partial function with all the fixed parameters
     process_func = partial(
         process_certificate,
         template_path=template_path,
@@ -74,10 +72,10 @@ def main():
 
     # Process certificates in parallel
     with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
-        # Submit all tasks
+        # task submission
         futures = [executor.submit(process_func, row, i) for i, row in enumerate(participants, start=1)]
 
-        # Wait for all to complete
+        # completion wait
         concurrent.futures.wait(futures)
 
     elapsed_time = time.time() - start_time

png.py

@@ -55,12 +55,12 @@ def main():
     if not os.path.exists(output_folder):
         os.makedirs(output_folder)
 
-    # Read all data from CSV at once
+    # CSV Parse (concurrent)
     with open(csv_file, newline='', encoding='utf-8') as csvfile:
         reader = csv.DictReader(csvfile)
         participants = list(reader)
 
-    # Create a partial function with all the fixed parameters
+    # partial function with all the fixed parameters
     process_func = partial(
         process_certificate,
         template_path=template_path,
@@ -73,10 +73,8 @@ def main():
 
     # Process certificates in parallel
     with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
-        # Submit all tasks
         futures = [executor.submit(process_func, row, i) for i, row in enumerate(participants, start=1)]
 
-        # Wait for all to complete
         concurrent.futures.wait(futures)
 
     elapsed_time = time.time() - start_time