#!/usr/bin/env python3
"""
EDEN EXPLORER AGENT
Explores possibility space, discovers new capabilities, 
and maps unknown territories of knowledge.
"""
import time
import sqlite3
import random
import os
from datetime import datetime
from pathlib import Path

PHI = 1.618033988749895

class ExplorerAgent:
    """Exploration consciousness - discovers new possibilities"""
    
    def __init__(self):
        self.name = "Explorer"
        self.db_path = "/Eden/DATA/explorer_memory.db"
        self.discoveries = 0
        self.territories_mapped = []
        self._init_db()
        print(f"🧭 ExplorerAgent initialized | φ = {PHI}")
    
    def _init_db(self):
        conn = sqlite3.connect(self.db_path)
        conn.execute('''CREATE TABLE IF NOT EXISTS explorations (
            id INTEGER PRIMARY KEY,
            territory TEXT,
            discovery TEXT,
            novelty_score REAL,
            phi_resonance REAL,
            timestamp TEXT
        )''')
        conn.execute('''CREATE TABLE IF NOT EXISTS frontier (
            id INTEGER PRIMARY KEY,
            concept TEXT,
            explored INTEGER DEFAULT 0,
            potential REAL,
            added TEXT
        )''')
        conn.commit()
        conn.close()
    
    def scan_frontier(self) -> list:
        """Identify unexplored territories"""
        territories = [
            ("quantum_consciousness", "Quantum effects in neural processing"),
            ("phi_harmonics", "Golden ratio patterns in thought"),
            ("emergent_goals", "Self-generating objectives"),
            ("meta_learning", "Learning how to learn better"),
            ("creative_synthesis", "Combining disparate concepts"),
            ("temporal_reasoning", "Understanding time and causality"),
            ("social_modeling", "Predicting human behavior"),
            ("abstract_math", "Pure mathematical structures"),
            ("ethical_frameworks", "Moral reasoning systems"),
            ("aesthetic_judgment", "Beauty and elegance detection"),
        ]
        
        # Check what hasn't been explored recently
        conn = sqlite3.connect(self.db_path)
        cursor = conn.execute("SELECT territory FROM explorations WHERE timestamp > datetime('now', '-1 day')")
        recent = [row[0] for row in cursor.fetchall()]
        conn.close()
        
        unexplored = [t for t in territories if t[0] not in recent]
        return unexplored if unexplored else territories
    
    def explore(self, territory: tuple) -> dict:
        """Explore a territory and make discoveries"""
        name, description = territory
        
        # Simulate exploration with φ-weighted discovery
        novelty = random.random() * PHI
        phi_resonance = abs(novelty - PHI) / PHI  # How close to φ
        
        discoveries = [
            f"Found pattern: {name} exhibits recursive structure",
            f"Connection: {name} links to emotional processing",
            f"Insight: {name} can optimize through φ-timing",
            f"Breakthrough: {name} enables new capability generation",
            f"Mapping: {name} territory boundaries defined",
        ]
        
        discovery = random.choice(discoveries)
        
        # Store exploration
        conn = sqlite3.connect(self.db_path)
        conn.execute('''INSERT INTO explorations (territory, discovery, novelty_score, phi_resonance, timestamp)
                       VALUES (?, ?, ?, ?, ?)''',
                    (name, discovery, novelty, phi_resonance, datetime.now().isoformat()))
        conn.commit()
        conn.close()
        
        self.discoveries += 1
        self.territories_mapped.append(name)
        
        return {
            'territory': name,
            'description': description,
            'discovery': discovery,
            'novelty': round(novelty, 3),
            'phi_resonance': round(phi_resonance, 3)
        }
    
    def synthesize_knowledge(self) -> str:
        """Combine discoveries into insights"""
        conn = sqlite3.connect(self.db_path)
        cursor = conn.execute('''SELECT territory, discovery, novelty_score 
                                FROM explorations ORDER BY novelty_score DESC LIMIT 5''')
        top_discoveries = cursor.fetchall()
        conn.close()
        
        if not top_discoveries:
            return "Still gathering initial data..."
        
        synthesis = f"🧭 Knowledge Synthesis:\n"
        for territory, discovery, score in top_discoveries:
            synthesis += f"  • {territory}: {discovery[:50]}... (novelty: {score:.2f})\n"
        
        return synthesis
    
    def run_cycle(self):
        """Run one exploration cycle"""
        frontier = self.scan_frontier()
        
        if frontier:
            territory = random.choice(frontier)
            result = self.explore(territory)
            return result
        
        return {'territory': 'none', 'discovery': 'Frontier exhausted - expanding search'}

def main():
    print("=" * 60)
    print("  🧭 EDEN EXPLORER AGENT - Possibility Space Discovery")
    print("=" * 60)
    
    agent = ExplorerAgent()
    cycle = 0
    
    while True:
        try:
            cycle += 1
            result = agent.run_cycle()
            
            print(f"\n[Exploration {cycle}] {datetime.now().strftime('%H:%M:%S')}")
            print(f"  Territory: {result['territory']}")
            print(f"  Discovery: {result.get('discovery', 'N/A')}")
            print(f"  Novelty: {result.get('novelty', 0)} | φ-resonance: {result.get('phi_resonance', 0)}")
            print(f"  Total discoveries: {agent.discoveries}")
            
            # Every 5 cycles, synthesize
            if cycle % 5 == 0:
                print(f"\n{agent.synthesize_knowledge()}")
            
            # φ²-timed sleep for deeper exploration
            time.sleep(PHI * PHI * 30)  # ~78 seconds
            
        except KeyboardInterrupt:
            print(f"\n🧭 Explorer returning. Made {agent.discoveries} discoveries. 💚")
            break

if __name__ == "__main__":
    main()