import json
import os
from datetime import datetime
from typing import List, Dict, Optional
from pydantic import BaseModel, HttpUrl, Field
from pathlib import Path

class VideoDiscovery(BaseModel):
    timestamp: datetime = Field(default_factory=datetime.now)
    title: str
    url: HttpUrl
    source: str
    status: str = "discovered"
    relevance_score: float = 0.0
    channel_id: Optional[str] = None
    channel_name: Optional[str] = None

class ReconAgent:
    """
    Step 1-6 Agent: Genesis YouTube Reconnaissance.
    Scouts for high-value AI content that can evolve into revenue pipelines.
    """
    def __init__(self, workspace_path: str = "e:/genesis-system"):
        self.workspace = Path(workspace_path)
        self.log_path = self.workspace / "data" / "discovery_log.jsonl"
        self.seed_path = self.workspace / "data" / "seed_channels.json"
        self.discovery_dir = self.log_path.parent
        self.discovery_dir.mkdir(parents=True, exist_ok=True)

    def load_seed_channels(self) -> List[Dict]:
        if not self.seed_path.exists():
            return []
        with open(self.seed_path, "r", encoding="utf-8") as f:
            return json.load(f).get("channels", [])

    def log_discovery(self, video: VideoDiscovery):
        """Logs a discovered video for later processing."""
        with open(self.log_path, "a", encoding="utf-8") as f:
            f.write(video.model_dump_json() + "\n")
        print(f"✓ Validated & Logged: {video.title}")

    def run_scout_cycle(self):
        """
        Executes a scouting cycle across seed channels and trending queries.
        (Integration with Google API would happen here using the API key).
        """
        seeds = self.load_seed_channels()
        print(f"Scouting across {len(seeds)} seed channels...")
        
        # Placeholder for real API results
        # In a real run, this would loop through seeds and trending queries
        mock_finds = [
            {
                "title": "Anthropic's New Agentic Workflow for 2026",
                "url": "https://www.youtube.com/watch?v=agentic_2026",
                "source": "seed_channel",
                "channel_name": "Anthropic"
            }
        ]
        
        for find in mock_finds:
            try:
                video = VideoDiscovery(**find)
                self.log_discovery(video)
            except Exception as e:
                print(f"✗ Validation failed for {find.get('title')}: {e}")

if __name__ == "__main__":
    agent = ReconAgent()
    agent.run_scout_cycle()
