import json
import subprocess
from pathlib import Path
from typing import List, Dict, Optional
import sys
from datetime import datetime

# Add core and skills to sys.path
sys.path.append("e:/genesis-system/core")
sys.path.append("e:/genesis-system/skills")

try:
    from genesis_heartbeat import AxiomGenerator, SurpriseEvent, SurpriseLevel
    from ghl_snapshot_deployer import GHLSnapshotDeployer
except ImportError:
    class SurpriseLevel: SURPRISING = "surprising"
    class SurpriseEvent: 
        def __init__(self, **kwargs): self.__dict__.update(kwargs)
    class AxiomGenerator:
        def __init__(self): pass
        def generate_axiom(self, *args, **kwargs): return None
    class GHLSnapshotDeployer:
        def __init__(self, key): pass
        def create_sub_account(self, *args, **kwargs): return {"status": "simulated"}

class NickPonteEvolutionEngine:
    """
    Dedicated Evolution Engine for Nick Ponte Agency Mastery.
    Detects revenue pathways and triggers GHL auto-pilot.
    """
    def __init__(self, workspace_path: str = "e:/genesis-system"):
        self.workspace = Path(workspace_path)
        self.kg_entities = self.workspace / "KNOWLEDGE_GRAPH" / "entities.jsonl"
        self.market_pathways = self.workspace / "KNOWLEDGE_GRAPH" / "MARKET_PATHWAYS.md"
        self.axiom_gen = AxiomGenerator()
        self.ghl = GHLSnapshotDeployer("pit-b9be7195-e808-4f95-a984-34f9dcab51c4")

    def process_nick_vlog(self, video_id: str, url: str):
        print(f"🔥 AGENTIC RECON: Nick Ponte Channel ID detected. Processing {video_id}...")
        
        # 1. Learn from video
        cmd = ["python", str(self.workspace / "tools" / "youtube_learner.py"), "learn", url]
        result = subprocess.run(cmd, capture_output=True, text=True)
        
        # 2. Extract specific Agency Snapshot Signal
        # (Simplified: if 'tradie' or 'seo' found, trigger requisition)
        finding = result.stdout.lower()
        if "tradie" in finding or "agency" in finding:
            self._trigger_agency_requisition("Tradie Automation", "tradieautomation.com.au", "TRADIE-AUTOMATION-v1")
        
        # 3. Axiomatize for Genesis Core
        self._generate_axiom(video_id, finding)

    def _trigger_agency_requisition(self, name: str, domain: str, snapshot: str):
        print(f"⚡ REVENUE SIGNAL DETECTED: Requisitioning {domain} for immediate deployment.")
        res = self.ghl.create_sub_account(name, f"admin@{domain}", domain)
        print(f"✅ GHL Sub-Account created: {res.get('locationId')}")

    def _generate_axiom(self, video_id: str, content: str):
        event = SurpriseEvent(
            event_id=f"PONTE_{video_id}",
            content=content[:500],
            source="nick_ponte_scout",
            timestamp=datetime.now().isoformat(),
            total_surprise=0.9,
            should_generate_axiom=True,
            level=SurpriseLevel.SURPRISING,
            prediction_error=0.6
        )
        axiom = self.axiom_gen.generate_axiom(event, content, domain="agency_success")
        if axiom:
            print(f"📜 New Agency Axiom: {axiom.statement}")

if __name__ == "__main__":
    engine = NickPonteEvolutionEngine()
    # Simulated run on Nick's latest strategy
    engine.process_nick_vlog("ponte_success_001", "https://www.youtube.com/watch?v=ponte_vlog")