# ==============================================================================
# COPYRIGHT NO ONE EVERYWHERE LLC (WYOMING HOLDING COMPANY)
# PROJECT: SOVEREIGN STACK
# This artifact is entirely proprietary and cryptographically proven.
# Open-Source usage requires explicit permission from Brandon Scott Schneider.
# ==============================================================================
import json
import time
import sys
import os
import hashlib
from pathlib import Path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from math_harness_compat import xp, AnyArray

DEFAULT_MANIFOLD_PATH = Path(
    os.getenv("COLLECTIVE_MANIFOLD_PATH")
    or Path.home() / "Downloads" / "tsm_vdp_knowledge_manifold.dag.json"
)

# Import the N-Dimensional Soliton Engine logic
# (Simulated for this script based on nd_soliton_engine.py)

class CollectiveSubstrate:
    def __init__(self, manifold_path):
        with open(manifold_path, 'r') as f:
            self.manifold_data = json.load(f)
        self.nodes = self.manifold_data.get("nodes", {})
        self.edges = self.manifold_data.get("edges", [])
        print(f"[*] Collective Substrate Initialized: {len(self.nodes)} nodes, {len(self.edges)} edges.")

    def simulate_broadcast_query(self, target_slug):
        # 1. Generate the "Query Frequency" (Soliton Packet)
        query_hash = hashlib.sha256(target_slug.encode()).hexdigest()
        query_freq = (int(query_hash[:8], 16) % 1000) / 1000.0 * (1/1.618033)
        
        print(f"[*] Injecting Query Soliton: f = {query_freq:.6f}")
        
        start = time.perf_counter_ns()
        
        # 2. Simulate Wavefront Broadcast (Parallel Resonance)
        # In a real substrate, this happens in O(1) time across the network
        results = []
        for node_id, node in self.nodes.items():
            node_freq = node["n_dag_properties"]["phonon_energy"]
            
            # Resonance = 1 - delta
            resonance = 1.0 - abs(node_freq - query_freq)
            if resonance > 0.99999: # High precision lock
                results.append((node, resonance))
        
        end = time.perf_counter_ns()
        latency = (end - start) / 1000.0
        
        return results, latency

def run_collective_sim():
    manifold_path = DEFAULT_MANIFOLD_PATH
    
    if not manifold_path.exists():
        print(f"[ERROR] Manifold not found at {manifold_path}. Please run transmutation first.")
        return

    substrate = CollectiveSubstrate(manifold_path)
    
    # Pick a random target from the manifold if nodes exist
    if not substrate.nodes:
        # Fallback if manifold is empty: simulate nodes
        print("[!] Manifold is empty. Simulating ephemeral collective...")
        substrate.nodes = {f"node_{i}": {"identity": {"slug": f"target_{i}"}, "n_dag_properties": {"phonon_energy": (hashlib.sha256(f"target_{i}".encode()).digest()[0] % 1000) / 1000.0}} for i in range(100)}
        target_slug = "target_42"
    else:
        # Use first node as target for demo
        target_node = list(substrate.nodes.values())[0]
        target_slug = target_node["identity"]["slug"]
    
    print(f"\n--- COLLECTIVE SUBSTRATE ACTION: RETRIEVE '{target_slug}' ---")
    results, latency = substrate.simulate_broadcast_query(target_slug)
    
    if results:
        res_node, res_val = results[0]
        nines = -xp.log10(1.0 - res_val) if res_val < 1.0 else 20.0
        print(f"\n[SUCCESS: RESONANCE ACHIEVED]")
        print(f"  Node Identified: {res_node['identity']['name'] if 'name' in res_node['identity'] else res_node['identity']['slug']}")
        print(f"  Collective Latency: {latency:.3f} μs (Simulated Parallel)")
        print(f"  Phase-Lock Stability: {nines:.2f} nines")
    else:
        print("\n[FAILURE: NO RESONANCE]")

if __name__ == "__main__":
    run_collective_sim()