
"""
Misata Deep Research Agent 🕵️‍♂️
-----------------------------
Responsible for fetching "Ground Truth" data from the real world.
Uses Agentic Search (Tavily/LangGraph) to find competitors, market stats, and pricing.
"""

from typing import List, Dict, Any, Optional
import time

class DeepResearchAgent:
    def __init__(self, api_key: Optional[str] = None, use_mock: bool = True):
        self.api_key = api_key
        self.use_mock = use_mock
        # TODO: Initialize LangGraph / Tavily client here

    def search_entities(self, domain: str, entity_type: str, limit: int = 10) -> List[Dict[str, Any]]:
        """
        Finds real-world entities for a given domain.
        E.g. domain="Fitness App", entity_type="Competitors" -> Returns ["Strava", "MyFitnessPal", ...]
        """
        if self.use_mock:
            return self._mock_search(domain, entity_type, limit)
        
        # TODO: Implement Real Search
        return []

    def search_market_stats(self, domain: str) -> Dict[str, Any]:
        """
        Finds market stats (average price, market size).
        """
        if self.use_mock:
            return {
                "market_size": "5B",
                "avg_price_monthly": 14.99,
                "cagr": "12%"
            }
        return {}

    def _mock_search(self, domain: str, entity_type: str, limit: int) -> List[Dict[str, Any]]:
        """Returns plausible fake data for demo purposes."""
        print(f"🕵️‍♂️ [Agent] Mock Researching: {entity_type} in {domain}...")
        time.sleep(1.0) # Simulate latency
        
        domain_lower = domain.lower()
        
        if "fitness" in domain_lower:
            return [
                {"name": "Strava", "revenue": "200M", "users": "100M"},
                {"name": "MyFitnessPal", "revenue": "150M", "users": "80M"},
                {"name": "Nike Run Club", "revenue": "N/A", "users": "50M"},
                {"name": "Peloton", "revenue": "2B", "users": "10M"},
            ][:limit]
        
        elif "ecommerce" in domain_lower or "retail" in domain_lower:
            return [
                {"name": "Amazon", "revenue": "500B"},
                {"name": "Shopify", "revenue": "5B"},
                {"name": "Walmart", "revenue": "600B"},
            ][:limit]
            
        elif "saas" in domain_lower:
            return [
                {"name": "Salesforce", "revenue": "30B"},
                {"name": "HubSpot", "revenue": "2B"},
                {"name": "Atlassian", "revenue": "4B"},
            ][:limit]
            
        return [{"name": f"{domain} Competitor {i+1}"} for i in range(limit)]
