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import sys
import os
import numpy as np
import cv2
# Add parent directory to path to import logos
sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/../')
from logos.baker import BreadBaker
from logos.fractal_engine import LogosFractalEngine, ContextAction
from logos.logos_core import calculate_heat_code, unpack_atom, pack_atom, META_SIZE
def test_bake_cycle():
print("Initializing Local Test Environment...")
# Create a synthetic test image (Gradient)
img_size = 256
img = np.zeros((img_size, img_size, 3), dtype=np.uint8)
for y in range(img_size):
for x in range(img_size):
img[y, x] = [x % 255, y % 255, (x+y) % 255]
print(f"Created Test Image: {img_size}x{img_size}")
# Initialize Baker
baker = BreadBaker(variance_threshold=10, min_block_size=8)
# Bake
print("Baking...")
atom_defs = baker.bake(img, prefix_path=[])
print(f"Generated {len(atom_defs)} atom definitions")
# Pack Atoms (Simulating DSPBridge)
atoms = []
for i, adef in enumerate(atom_defs):
path = adef['path_bits']
payload = adef['payload']
hc = calculate_heat_code(path)
# Dummy meta
full_payload = b'\x00' * META_SIZE + payload
atom = pack_atom(hc, full_payload, gap_id=i)
atoms.append(atom)
print(f"Packed {len(atoms)} atoms")
# Decode (Simulating DSPBridge decode_wave)
print("Decoding...")
engine = LogosFractalEngine(min_bucket_size=1)
for atom in atoms:
hc, pl, _, _ = unpack_atom(atom)
baker_payload = pl[META_SIZE:]
hex_str = f"{hc:08x}"
engine.process_atom(hex_str, baker_payload)
# Render
result = engine.draw_viewport((img_size, img_size))
# Verify
mean_input = np.mean(img)
mean_output = np.mean(result)
print(f"Input Mean Brightness: {mean_input:.2f}")
print(f"Output Mean Brightness: {mean_output:.2f}")
if mean_output < 1.0:
print("[FAIL] Output is essentially black.")
print("Hypothesis: Nodes start at Heat 0. GF4 Multiply by 0 = 0.")
return False
else:
print("[SUCCESS] Output has content.")
return True
if __name__ == "__main__":
test_bake_cycle()
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