48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
"""Script to process and generate multi-resolution provider icons for Hermes Hub."""
|
|
from pathlib import Path
|
|
from PIL import Image, ImageOps
|
|
|
|
USER_ASSETS = Path(r"C:\Users\trush\.gemini\antigravity\brain\18159cee-1b4f-42dd-9d89-a0f3ac4c0506\.user_uploaded")
|
|
REPO_ROOT = Path(r"E:\Agent projects\hermes-hub")
|
|
PROV_SRC = REPO_ROOT / "assets" / "providers" / "source"
|
|
PROV_OUT = REPO_ROOT / "assets" / "providers"
|
|
|
|
PROV_SRC.mkdir(parents=True, exist_ok=True)
|
|
PROV_OUT.mkdir(parents=True, exist_ok=True)
|
|
|
|
# 1. Map uploaded assets
|
|
raw_sources = {
|
|
"opencode": USER_ASSETS / "media_1787197959433.jpg",
|
|
"openai": USER_ASSETS / "media_1787197959439.png",
|
|
"antigravity": USER_ASSETS / "media_1787197959591.png",
|
|
}
|
|
|
|
SIZES = [16, 20, 24, 32, 48, 64, 128]
|
|
|
|
for prov_key, src_path in raw_sources.items():
|
|
if not src_path.exists():
|
|
print(f"Warning: source asset not found: {src_path}")
|
|
continue
|
|
|
|
# Save to source
|
|
ext = ".png" if src_path.suffix.lower() == ".png" else ".jpg"
|
|
target_src = PROV_SRC / f"{prov_key}{ext}"
|
|
target_src.write_bytes(src_path.read_bytes())
|
|
|
|
# Process image
|
|
img = Image.open(src_path).convert("RGBA")
|
|
|
|
# If JPG or black background with white logo, make sure it's clean
|
|
prov_dir = PROV_OUT / prov_key
|
|
prov_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
# Save master
|
|
img.save(prov_dir / f"{prov_key}_master.png", "PNG")
|
|
|
|
# Generate each size with LANCZOS
|
|
for sz in SIZES:
|
|
resized = img.resize((sz, sz), Image.Resampling.LANCZOS)
|
|
resized.save(prov_dir / f"{prov_key}_{sz}.png", "PNG")
|
|
print(f"Generated: {prov_dir / f'{prov_key}_{sz}.png'}")
|
|
|
|
print("\n[SUCCESS] Provider assets generated successfully.")
|