Asset Generation: Campfire, Tent, Sleeping Bag, UI Elements (Health, Inventory, Dialog). Cleaned GrassScene.

scripts/deploy_ui_assets.py

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+import cv2
+import numpy as np
+import os
+import shutil
+
+def clean_ui_assets():
+    # Paths to the newly generated UI artifacts (Solid Magenta #FF00FF usually)
+    # I have to hunt them down by pattern again
+    artifacts_dir = '/Users/davidkotnik/.gemini/antigravity/brain/07019d04-a214-43ab-9565-86f4e8f17e5b'
+    
+    mapping = {
+        'ui_health_bar': 'health_bar.png',
+        'ui_inventory_slot': 'inventory_slot.png',
+        'ui_action_button': 'action_btn.png',
+        'ui_dialog_box': 'dialog_panel.png'
+    }
+    
+    # Destination in new project
+    target_repo_dir = '/Users/davidkotnik/repos/novafarma/main/assets'
+    target_project_dir = '/Users/davidkotnik/nova farma/main/assets'
+    
+    # Also copy to DEMO_FAZA1/UI if it exists?
+    demo_ui_dir = '/Users/davidkotnik/repos/novafarma/assets/DEMO_FAZA1/UI'
+    if not os.path.exists(demo_ui_dir):
+        os.makedirs(demo_ui_dir, exist_ok=True)
+
+    for key_pattern, dest_name in mapping.items():
+        found_path = None
+        # Find latest file matching pattern
+        candidates = []
+        for f in os.listdir(artifacts_dir):
+            if key_pattern in f and f.endswith('.png'):
+                candidates.append(os.path.join(artifacts_dir, f))
+        
+        if not candidates:
+            print(f"Skipping {key_pattern} (not found)")
+            continue
+            
+        # Sort by mtime to get latest
+        candidates.sort(key=os.path.getmtime, reverse=True)
+        found_path = candidates[0]
+        
+        print(f"Processing {found_path}")
+        img = cv2.imread(found_path)
+        if img is None:
+            print("Failed to load")
+            continue
+            
+        # Convert to BGRA
+        img = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)
+        
+        # Remove Magenta #FF00FF
+        # OpenCV uses BGR: Magenta is (255, 0, 255) in BGR order
+        # With tolerance just in case
+        target = np.array([255, 0, 255]) 
+        tol = 60 # strict-ish
+        
+        lower = np.clip(target - tol, 0, 255)
+        upper = np.clip(target + tol, 0, 255)
+        
+        mask = cv2.inRange(img[:,:,:3], lower, upper)
+        
+        # Transparent wherever mask is true
+        img[mask > 0, 3] = 0
+        
+        # Crop to content (non-transparent pixels)
+        # Find bounding box of non-zero alpha
+        alpha = img[:,:,3]
+        coords = cv2.findNonZero(alpha)
+        if coords is not None:
+            x, y, w, h = cv2.boundingRect(coords)
+            img = img[y:y+h, x:x+w]
+        
+        # Resize if massive? Generated images are likely 1024x1024
+        # UI elements need to be manageable.
+        # Health Bar: width 300?
+        # Slot: 64x64 or 128x128?
+        # Button: 128?
+        # Panel: 400?
+        
+        h, w = img.shape[:2]
+        new_w, new_h = w, h
+        
+        if 'health_bar' in dest_name and w > 400:
+            scale = 400 / w
+            new_w, new_h = int(w*scale), int(h*scale)
+        elif 'inventory' in dest_name and w > 128:
+            scale = 128 / w
+            new_w, new_h = int(w*scale), int(h*scale)
+        elif 'action' in dest_name and w > 140:
+            scale = 128 / w
+            new_w, new_h = int(w*scale), int(h*scale)
+        elif 'dialog' in dest_name and w > 500:
+            scale = 500 / w
+            new_w, new_h = int(w*scale), int(h*scale)
+            
+        if new_w != w:
+             img = cv2.resize(img, (new_w, new_h), interpolation=cv2.INTER_AREA)
+
+        # Save to Main Assets
+        dest_path = os.path.join(target_repo_dir, dest_name)
+        cv2.imwrite(dest_path, img)
+        print(f"Saved {dest_name} to {dest_path}")
+        
+        # Sync to demo folder
+        shutil.copy2(dest_path, os.path.join(demo_ui_dir, dest_name))
+        print(f"Synced to {demo_ui_dir}")
+        
+        # Sync to Project Folder
+        shutil.copy2(dest_path, os.path.join(target_project_dir, dest_name))
+        print(f"Synced to {target_project_dir}")
+
+if __name__ == "__main__":
+    clean_ui_assets()