#!/usr/bin/env python3
"""
Brand Monitoring - Data Scrapers (Lite)
Brand Monitoring - DataCollect (Free version)

Datasource:
- Reddit (PublicSearch/Pushshift)
- Google News (RSS)
- YouTube (PublicSearch)
- DuckDuckGo (Search)

Note: Please comply withPlatformUseTerms

Version: 1.0.0
"""

import json
import re
import urllib.request
import urllib.parse
from typing import List, Dict, Optional
from dataclasses import dataclass
from datetime import datetime
import time
import sys


@dataclass
class SearchResult:
    """SearchResult"""
    title: str
    content: str
    url: str
    source: str
    date: Optional[str] = None
    author: Optional[str] = None
    engagement: int = 0


class RedditScraper:
    """Reddit Search (UsePublic JSON Interface)"""
    
    BASE_URL = "https://www.reddit.com"
    
    def search(self, query: str, limit: int = 25, sort: str = "relevance") -> List[SearchResult]:
        """Search Reddit"""
        results = []
        
        try:
            # Use Reddit Public JSON Interface
            encoded_query = urllib.parse.quote(query)
            url = f"{self.BASE_URL}/search.json?q={encoded_query}&limit={limit}&sort={sort}"
            
            req = urllib.request.Request(url, headers={
                "User-Agent": "Mozilla/5.0 (compatible; BrandMonitor/1.0)"
            })
            
            print(f"[Reddit] Searching: {query}")
            
            # Note：ActualUseNeedProcess rate limiting
            # with urllib.request.urlopen(req, timeout=10) as response:
            #     data = json.loads(response.read().decode())
            #     for post in data.get("data", {}).get("children", []):
            #         post_data = post.get("data", {})
            #         results.append(SearchResult(
            #             title=post_data.get("title", ""),
            #             content=post_data.get("selftext", "")[:500],
            #             url=f"https://reddit.com{post_data.get('permalink', '')}",
            #             source="reddit",
            #             author=post_data.get("author", ""),
            #             engagement=post_data.get("score", 0) + post_data.get("num_comments", 0),
            #         ))
            
            print(f"[Reddit] Note: Enable actual API call in production")
            
        except Exception as e:
            print(f"[Reddit] Error: {e}")
        
        return results


class GoogleNewsScraper:
    """Google News Search (Use RSS)"""
    
    RSS_URL = "https://news.google.com/rss/search"
    
    def search(self, query: str, limit: int = 20) -> List[SearchResult]:
        """Search Google News"""
        results = []
        
        try:
            encoded_query = urllib.parse.quote(query)
            url = f"{self.RSS_URL}?q={encoded_query}&hl=en-US&gl=US&ceid=US:en"
            
            req = urllib.request.Request(url, headers={
                "User-Agent": "Mozilla/5.0 (compatible; BrandMonitor/1.0)"
            })
            
            print(f"[Google News] Searching: {query}")
            
            # Note：Actual implementation requiresParse RSS XML
            # with urllib.request.urlopen(req, timeout=10) as response:
            #     # Parse RSS XML
            #     pass
            
            print(f"[Google News] Note: Enable actual RSS parsing in production")
            
        except Exception as e:
            print(f"[Google News] Error: {e}")
        
        return results


class DuckDuckGoScraper:
    """DuckDuckGo Search (Free，no API key)"""
    
    # DuckDuckGo Instant Answer API
    API_URL = "https://api.duckduckgo.com/"
    
    def search(self, query: str) -> List[SearchResult]:
        """Search DuckDuckGo"""
        results = []
        
        try:
            params = urllib.parse.urlencode({
                "q": query,
                "format": "json",
                "no_html": 1,
            })
            url = f"{self.API_URL}?{params}"
            
            req = urllib.request.Request(url, headers={
                "User-Agent": "Mozilla/5.0 (compatible; BrandMonitor/1.0)"
            })
            
            print(f"[DuckDuckGo] Searching: {query}")
            
            # with urllib.request.urlopen(req, timeout=10) as response:
            #     data = json.loads(response.read().decode())
            #     # ParseResult
            
            print(f"[DuckDuckGo] Note: Enable actual API call in production")
            
        except Exception as e:
            print(f"[DuckDuckGo] Error: {e}")
        
        return results


class YouTubeScraper:
    """YouTube Search (no API key PublicSearch)"""
    
    SEARCH_URL = "https://www.youtube.com/results"
    
    def search(self, query: str, limit: int = 20) -> List[SearchResult]:
        """Search YouTube (NeedParse HTML  or Use API)"""
        results = []
        
        print(f"[YouTube] Searching: {query}")
        print(f"[YouTube] Note: Use YouTube Data API v3 for production")
        
        return results


class TwitterScraper:
    """Twitter/X Search (Need API v2)"""
    
    def search(self, query: str, limit: int = 100) -> List[SearchResult]:
        """Search Twitter (Need Bearer Token)"""
        results = []
        
        print(f"[Twitter] Searching: {query}")
        print(f"[Twitter] Note: Requires Twitter API v2 Bearer Token for production")
        
        return results


# ============================================================
# UnifiedSearchInterface
# ============================================================

class BrandSearcher:
    """BrandSearchUnified interface"""
    
    def __init__(self):
        self.reddit = RedditScraper()
        self.google_news = GoogleNewsScraper()
        self.duckduckgo = DuckDuckGoScraper()
        self.youtube = YouTubeScraper()
        self.twitter = TwitterScraper()
    
    def search_all(
        self,
        brand_name: str,
        platforms: List[str] = None,
        limit_per_platform: int = 20
    ) -> Dict[str, List[SearchResult]]:
        """Searchplace has Platform"""
        
        if platforms is None:
            platforms = ["reddit", "google_news", "duckduckgo"]
        
        results = {}
        
        for platform in platforms:
            time.sleep(1)  # Avoid rate limiting
            
            if platform == "reddit":
                results["reddit"] = self.reddit.search(brand_name, limit_per_platform)
            elif platform == "google_news":
                results["google_news"] = self.google_news.search(brand_name, limit_per_platform)
            elif platform == "duckduckgo":
                results["duckduckgo"] = self.duckduckgo.search(brand_name)
            elif platform == "youtube":
                results["youtube"] = self.youtube.search(brand_name, limit_per_platform)
            elif platform == "twitter":
                results["twitter"] = self.twitter.search(brand_name, limit_per_platform)
        
        return results
    
    def get_total_results(self, results: Dict[str, List[SearchResult]]) -> List[SearchResult]:
        """Merge allResult"""
        all_results = []
        for platform_results in results.values():
            all_results.extend(platform_results)
        return all_results


# ============================================================
# CLI
# ============================================================

def main():
    brand = sys.argv[1] if len(sys.argv) > 1 else "TechBrand"
    
    searcher = BrandSearcher()
    
    print(f"\n🔍 Searching for brand: {brand}\n")
    print("=" * 50)
    
    results = searcher.search_all(brand)
    
    total = sum(len(r) for r in results.values())
    print(f"\n📊 Total results: {total}")
    
    for platform, platform_results in results.items():
        print(f"  - {platform}: {len(platform_results)}")
    
    print("\n⚠️ Note: Enable actual API calls in scrapers.py for production use")
    print("   Current implementation is in demo mode.")


if __name__ == "__main__":
    main()
