# app.py
# Author: Liam Grinstead
# Purpose: Run agent simulations, mutations, and falsifiability checks with automatic logging

from modules.agent_spawner import spawn_agent
from modules.mutation_engine import mutate_agent
from modules.field_visualizer import render_fields
from modules.falsifiability_bench import run_falsifiability
from modules.codex_logger import log_artifact
from modules.codex_viewer import load_codex

def run_simulation(agent_id, mutation_profile):
    """
    Run a full simulation cycle:
    1. Spawn agent
    2. Apply mutation profile
    3. Render fields (optional)
    4. Run falsifiability bench
    5. Log artifact with SHA-512 seal
    """
    # Step 1: Spawn agent
    agent = spawn_agent(agent_id)

    # Step 2: Mutate agent
    mutated = mutate_agent(agent, mutation_profile)

    # Step 3: Optional visualization
    try:
        render_fields(mutated)
    except Exception:
        # Visualization is non-critical, continue if it fails
        pass

    # Step 4: Falsifiability scoring
    score, hash_val = run_falsifiability(mutated)

    # Step 5: Log artifact (saved to JSON with timestamp + SHA-512 seal)
    log_artifact(mutated, score, hash_val)

    # Return mutated agent and hash for downstream use
    return mutated, hash_val