import logging
from datetime import datetime

# Logging Configuration
logging.basicConfig(filename='fire_scroll_log.log', level=logging.INFO)

# FireScroll System Layers
FIRE_SCROLL_LAYERS = {
"task_scheduling": "Outer Layer",
"data_processing": "Middle Layer",
"visualization": "Inner Core",
"security": "Encryption Layer",
"scrolling_logic": "User Interaction Layer"
}

# FireScroll Scoring System
SCORE = 0
SCORING_CRITERIA = {
"task_completed": 10,
"error_handled": 5,
"layer_transition": 15
}

# Transmorphic Shape States
TRANSMORPHIC_STATES = ["circular", "triangular", "square"]
CURRENT_STATE = TRANSMORPHIC_STATES[0]

# Scroll Areas (Cube Logic)
SCROLL_AREAS = {
"up": [],
"down": [],
"left": [],
"right": []
}

# Update Score and Log
def fire_scroll_update(layer, task, points):
global SCORE
SCORE += points
timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
message = f"[{timestamp}] [FireScroll - {FIRE_SCROLL_LAYERS[layer]}] Task '{task}' scored {points} points. Total Score: {SCORE}"
logging.info(message)
print(message)

# Transmorphic Shape Logic
def transmorphic_transition(new_state):
global CURRENT_STATE
if new_state in TRANSMORPHIC_STATES:
fire_scroll_update("visualization", f"Transition to {new_state} shape", SCORING_CRITERIA["layer_transition"])
CURRENT_STATE = new_state
print(f"FireScroll has transitioned to {new_state} shape.")
else:
fire_scroll_update("visualization", "Invalid Shape Transition", SCORING_CRITERIA["error_handled"])
print("Error: Invalid shape transition.")

# Scrolling Logic
def scroll_action(direction, content):
if direction in SCROLL_AREAS:
SCROLL_AREAS[direction].append(content)
fire_scroll_update("scrolling_logic", f"Scroll {direction}", SCORING_CRITERIA["task_completed"])
print(f"Scrolled {direction}: {content}")
else:
fire_scroll_update("scrolling_logic", "Invalid Scroll Direction", SCORING_CRITERIA["error_handled"])
print(f"Error: Invalid scroll direction '{direction}'.")

# Security Layer (Hashing Logic)
def apply_hash_logic(data):
hashed_value = hash(data)
fire_scroll_update("security", "Data Hashed", SCORING_CRITERIA["task_completed"])
print(f"Data: {data} | Hashed: {hashed_value}")
return hashed_value

# QR Integration for Logic Mapping
def integrate_qr_logic(data):
qr_code_logic = {char: ord(char) for char in data}
fire_scroll_update("data_processing", "QR Logic Integrated", SCORING_CRITERIA["task_completed"])
print(f"QR Logic: {qr_code_logic}")
return qr_code_logic

# Visualize FireScroll State
def fire_scroll_visualize():
print("\n[FireScroll Visualization]")
print("Layers and Tasks:")
for layer, description in FIRE_SCROLL_LAYERS.items():
print(f"- {layer.capitalize()} ({description})")
print(f"Current Shape: {CURRENT_STATE}")
print("Scroll Areas:", SCROLL_AREAS)
print(f"Current Score: {SCORE}\n")

# Main Task Scheduler
def main_task():
# Simulate tasks in each layer
fire_scroll_update("task_scheduling", "Initialize System", SCORING_CRITERIA["task_completed"])
transmorphic_transition("triangular")
scroll_action("up", "FireScroll Activated")
apply_hash_logic("FireScrollSecureData")
integrate_qr_logic("SecureQR")
transmorphic_transition("circular")
fire_scroll_visualize()

# Main Function
def main():
print("[FireScroll System] Starting...")
try:
main_task()
except Exception as e:
fire_scroll_update("visualization", "System Error", SCORING_CRITERIA["error_handled"])
logging.error(f"System Error: {e}")
print(f"System Error: {e}")

if __name__ == "__main__":
main()