iLearn / image_kb_logic.py
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import os
import io
import struct
import logging
import random
import json
from datetime import datetime
import numpy as np
from PIL import Image, ImageDraw, ImageFont
from cryptography.hazmat.primitives.ciphers.aead import AESGCM
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
from cryptography.hazmat.primitives import hashes
from cryptography.exceptions import InvalidTag
logger = logging.getLogger(__name__)
KEY_SIZE = 32
SALT_SIZE = 16
NONCE_SIZE = 12
TAG_SIZE = 16
PBKDF2_ITERATIONS = 480000
LENGTH_HEADER_SIZE = 4
PREFERRED_FONTS = ["Arial", "Helvetica", "DejaVu Sans", "Verdana", "Calibri", "sans-serif"]
MAX_KEYS_TO_DISPLAY_OVERLAY = 15
def convert_pil_to_png_bytes(image: Image.Image) -> bytes:
with io.BytesIO() as buffer:
image.save(buffer, format="PNG")
return buffer.getvalue()
def _get_font(preferred_fonts, base_size):
fp = None
safe_base_size = int(base_size)
if safe_base_size <= 0: safe_base_size = 10
for n in preferred_fonts:
try: ImageFont.truetype(n.lower()+".ttf",10); fp=n.lower()+".ttf"; break
except IOError:
try: ImageFont.truetype(n,10); fp=n; break
except IOError: continue
if fp:
try: return ImageFont.truetype(fp, safe_base_size)
except IOError: logger.warning(f"Font '{fp}' load failed with size {safe_base_size}. Defaulting.")
try: return ImageFont.load_default(size=safe_base_size)
except TypeError: return ImageFont.load_default()
def set_pil_image_format_to_png(image:Image.Image)->Image.Image:
buf=io.BytesIO(); image.save(buf,format='PNG'); buf.seek(0)
reloaded=Image.open(buf); reloaded.format="PNG"; return reloaded
def _derive_key(pw:str,salt:bytes)->bytes:
kdf=PBKDF2HMAC(algorithm=hashes.SHA256(),length=KEY_SIZE,salt=salt,iterations=PBKDF2_ITERATIONS)
return kdf.derive(pw.encode('utf-8'))
def encrypt_data(data:bytes,pw:str)->bytes:
s=os.urandom(SALT_SIZE);k=_derive_key(pw,s);a=AESGCM(k);n=os.urandom(NONCE_SIZE)
ct=a.encrypt(n,data,None); return s+n+ct
def decrypt_data(payload:bytes,pw:str)->bytes:
ml=SALT_SIZE+NONCE_SIZE+TAG_SIZE;
if len(payload)<ml: raise ValueError("Payload too short.")
s,n,ct_tag=payload[:SALT_SIZE],payload[SALT_SIZE:SALT_SIZE+NONCE_SIZE],payload[SALT_SIZE+NONCE_SIZE:]
k=_derive_key(pw,s);a=AESGCM(k)
try: return a.decrypt(n,ct_tag,None)
except InvalidTag: raise ValueError("Decryption failed: Invalid password/corrupted data.")
except Exception as e: logger.error(f"Decrypt error: {e}",exc_info=True); raise
def _d2b(d:bytes)->str: return ''.join(format(b,'08b') for b in d)
def _b2B(b:str)->bytes:
if len(b)%8!=0: raise ValueError("Bits not multiple of 8.")
return bytes(int(b[i:i+8],2) for i in range(0,len(b),8))
def embed_data_in_image(img_obj:Image.Image,data:bytes)->Image.Image:
img=img_obj.convert("RGB");px=np.array(img);fpx=px.ravel()
lb=struct.pack('>I',len(data));fp=lb+data;db=_d2b(fp);nb=len(db)
if nb>len(fpx): raise ValueError(f"Data too large: {nb} bits needed, {len(fpx)} available.")
for i in range(nb): fpx[i]=(fpx[i]&0xFE)|int(db[i])
spx=fpx.reshape(px.shape); return Image.fromarray(spx.astype(np.uint8),'RGB')
def extract_data_from_image(img_obj:Image.Image)->bytes:
img=img_obj.convert("RGB");px=np.array(img);fpx=px.ravel()
hbc=LENGTH_HEADER_SIZE*8
if len(fpx)<hbc: raise ValueError("Image too small for header.")
lb="".join(str(fpx[i]&1) for i in range(hbc))
try: pl=struct.unpack('>I',_b2B(lb))[0]
except Exception as e: raise ValueError(f"Header decode error: {e}")
if pl==0: return b""
if pl>(len(fpx)-hbc)/8: raise ValueError("Header len corrupted or > capacity.")
tpb=pl*8; so=hbc; eo=so+tpb
if len(fpx)<eo: raise ValueError("Image truncated or header corrupted.")
pb="".join(str(fpx[i]&1) for i in range(so,eo)); return _b2B(pb)
def parse_kv_string_to_dict(kv_str:str)->dict:
if not kv_str or not kv_str.strip(): return {}
dd={};
for ln,ol in enumerate(kv_str.splitlines(),1):
l=ol.strip()
if not l or l.startswith('#'): continue
lc=l.split('#',1)[0].strip();
if not lc: continue
p=lc.split('=',1) if '=' in lc else lc.split(':',1) if ':' in lc else []
if len(p)!=2: raise ValueError(f"L{ln}: Invalid format '{ol}'.")
k,v=p[0].strip(),p[1].strip()
if not k: raise ValueError(f"L{ln}: Empty key in '{ol}'.")
dd[k]=v
return dd
def convert_kb_to_kv_string(rules: list[str], memories: list[dict], include_rules: bool, include_memories: bool) -> str:
lines = ["# iLearn Knowledge Base Export", f"# Exported on: {datetime.utcnow().isoformat()}Z"]
if include_rules:
lines.append("\n# --- RULES ---")
for i, rule_text in enumerate(rules):
lines.append(f"rule_{i+1} = {json.dumps(rule_text)}")
if include_memories:
lines.append("\n# --- MEMORIES ---")
for i, mem_dict in enumerate(memories):
lines.append(f"memory_{i+1} = {json.dumps(mem_dict)}")
return "\n".join(lines)
def generate_brain_carrier_image(w=800, h=800) -> Image.Image:
center_x, center_y = w / 2, h / 2
y_coords, x_coords = np.mgrid[0:h, 0:w]
distance = np.sqrt((x_coords - center_x)**2 + (y_coords - center_y)**2)
max_distance = np.sqrt(center_x**2 + center_y**2)
distance_norm = distance / max_distance
bg_center_color = np.array([20, 25, 40])
bg_outer_color = np.array([0, 0, 0])
gradient = bg_outer_color + (bg_center_color - bg_outer_color) * (1 - distance_norm[..., np.newaxis])
img = Image.fromarray(gradient.astype(np.uint8), 'RGB')
draw = ImageDraw.Draw(img)
num_distant_stars = int((w * h) / 200)
for _ in range(num_distant_stars):
x, y = random.randint(0, w - 1), random.randint(0, h - 1)
brightness = random.randint(30, 90)
draw.point((x, y), fill=(brightness, brightness, int(brightness * 1.1)))
num_main_stars = int((w * h) / 1000)
star_colors = [
(255, 255, 255),
(220, 230, 255),
(255, 240, 220),
]
for _ in range(num_main_stars):
x, y = random.randint(0, w - 1), random.randint(0, h - 1)
dist_from_center = np.sqrt((x - center_x)**2 + (y - center_y)**2)
dist_ratio = min(dist_from_center / max_distance, 1.0)
size = 0.5 + (2.5 * (dist_ratio ** 2))
brightness = 120 + (135 * (dist_ratio ** 1.5))
color = random.choice(star_colors)
final_color = tuple(int(c * (brightness / 255.0)) for c in color)
glow_size = size * 3
glow_color = tuple(int(c * 0.3) for c in final_color)
draw.ellipse([x - glow_size, y - glow_size, x + glow_size, y + glow_size], fill=glow_color)
if random.random() < 0.15:
draw.line([x-size, y, x+size, y], fill=final_color, width=1)
draw.line([x, y-size, x, y+size], fill=final_color, width=1)
else:
draw.ellipse([x - size, y - size, x + size, y + size], fill=final_color)
return img
def _get_text_measurement(draw_obj, text_str, font_obj):
if hasattr(draw_obj, 'textbbox'):
try:
bbox = draw_obj.textbbox((0, 0), text_str, font=font_obj)
width = bbox[2] - bbox[0]
height = bbox[3] - bbox[1]
return width, height
except Exception: pass
try:
if hasattr(font_obj, 'getsize'): return font_obj.getsize(text_str)
width, height = draw_obj.textsize(text_str, font=font_obj)
return width, height
except AttributeError:
try:
char_width_approx = font_obj.size * 0.6
char_height_approx = font_obj.size
return int(len(text_str) * char_width_approx), int(char_height_approx)
except: return len(text_str) * 8, 10
def draw_key_list_dropdown_overlay(image: Image.Image, keys: list[str] = None, title: str = "Data Embedded") -> Image.Image:
img_overlayed = image.copy().convert("RGBA")
draw = ImageDraw.Draw(img_overlayed, "RGBA")
width, height = img_overlayed.size
overlay_color = (15, 23, 42, 190)
title_color = (226, 232, 240)
key_color = (148, 163, 184)
font_bold = _get_font(PREFERRED_FONTS, 30)
font_regular = _get_font(PREFERRED_FONTS, 15)
draw.rectangle([0, 20, width, 80], fill=overlay_color)
draw.text((width / 2, 50), title, fill=title_color, font=font_bold, anchor="ms")
if keys:
box_padding = 15
line_spacing = 6
text_start_x = 35
lines = keys
line_heights = [_get_text_measurement(draw, line, font_regular)[1] for line in lines]
total_text_height = sum(line_heights) + (len(lines) - 1) * line_spacing
box_height = total_text_height + (box_padding * 2)
box_y0 = height - box_height - 20
draw.rectangle([20, box_y0, width - 20, height - 20], fill=overlay_color)
current_y = box_y0 + box_padding
for i, key_text in enumerate(lines):
draw.text((text_start_x, current_y), key_text, fill=key_color, font=font_regular)
if i < len(line_heights):
current_y += line_heights[i] + line_spacing
final_image_rgb = Image.new("RGB", img_overlayed.size, (0, 0, 0))
final_image_rgb.paste(img_overlayed, (0, 0), img_overlayed)
return final_image_rgb