Initial commit: IYmtg Master project

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

IYmtg_Automation/resize_assets.py

@@ -0,0 +1,69 @@
+import os
+import sys
+
+# Dependency Check
+try:
+    from PIL import Image, ImageOps
+except ImportError:
+    print("❌ Error: Pillow library not found.")
+    print("👉 Please run: pip install Pillow")
+    sys.exit(1)
+
+# Configuration
+# Paths are relative to where the script is run, assuming run from root or automation folder
+BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+SOURCE_DIR = os.path.join(BASE_DIR, "Raw_Assets")
+OUTPUT_DIR = os.path.join(BASE_DIR, "Ready_Assets")
+
+# Target Dimensions (Width, Height)
+ASSETS = {
+    "AppIcon": (1024, 1024),
+    "logo_header": (300, 80),
+    "scanner_frame": (600, 800),
+    "empty_library": (800, 800),
+    "share_watermark": (400, 100),
+    "card_placeholder": (600, 840)
+}
+
+def process_assets():
+    print(f"📂 Working Directory: {BASE_DIR}")
+    
+    # Create directories if they don't exist
+    if not os.path.exists(SOURCE_DIR):
+        os.makedirs(SOURCE_DIR)
+        print(f"✅ Created source folder: {SOURCE_DIR}")
+        print("👉 ACTION REQUIRED: Place your raw AI images here (e.g., 'AppIcon.png') and run this script again.")
+        return
+
+    if not os.path.exists(OUTPUT_DIR):
+        os.makedirs(OUTPUT_DIR)
+        print(f"✅ Created output folder: {OUTPUT_DIR}")
+
+    print(f"🚀 Processing images from 'Raw_Assets'...")
+
+    for name, size in ASSETS.items():
+        found = False
+        # Check for common image extensions
+        for ext in [".png", ".jpg", ".jpeg", ".webp"]:
+            source_path = os.path.join(SOURCE_DIR, name + ext)
+            if os.path.exists(source_path):
+                try:
+                    img = Image.open(source_path)
+                    if img.mode != 'RGBA': img = img.convert('RGBA')
+
+                    # Smart Crop & Resize (Center focus)
+                    processed_img = ImageOps.fit(img, size, method=Image.Resampling.LANCZOS)
+                    
+                    output_path = os.path.join(OUTPUT_DIR, name + ".png")
+                    processed_img.save(output_path, "PNG")
+                    print(f"✅ Generated: {name}.png ({size[0]}x{size[1]})")
+                    found = True
+                    break
+                except Exception as e:
+                    print(f"❌ Error processing {name}: {e}")
+        
+        if not found:
+            print(f"⚠️  Skipped: {name} (File not found in Raw_Assets)")
+
+if __name__ == "__main__":
+    process_assets()