"""
Twitter/X comment scraper using Twitter API v2 via Tweepy.
"""
import logging
from typing import List, Dict, Any
import tweepy

from .base import BaseScraper


class TwitterScraper(BaseScraper):
    """
    Scraper for Twitter/X comments (replies) using Twitter API v2.
    Extracts replies to tweets from a specified user.
    """
    
    def __init__(self, config: Dict[str, Any]):
        """
        Initialize Twitter scraper.
        
        Args:
            config: Dictionary with 'bearer_token' and optionally 'username'
        """
        super().__init__(config)
        self.bearer_token = config.get('bearer_token')
        if not self.bearer_token:
            raise ValueError(
                "Twitter bearer token is required. "
                "Set TWITTER_BEARER_TOKEN in your .env file."
            )
        
        self.default_username = config.get('username', 'elonmusk')
        if not config.get('username'):
            self.logger.warning(
                "Twitter username not provided. "
                "Set TWITTER_USERNAME in your .env file to specify which account to scrape."
            )
        
        self.client = tweepy.Client(
            bearer_token=self.bearer_token,
            wait_on_rate_limit=True
        )
        self.logger = logging.getLogger(self.__class__.__name__)
    
    def scrape_comments(
        self,
        username: str = None,
        max_tweets: int = 50,
        max_replies_per_tweet: int = 100,
        **kwargs
    ) -> List[Dict[str, Any]]:
        """
        Scrape replies (comments) from a Twitter/X user's tweets.
        
        Args:
            username: Twitter username to scrape (uses default from config if not provided)
            max_tweets: Maximum number of tweets to fetch
            max_replies_per_tweet: Maximum replies per tweet
        
        Returns:
            List of standardized comment dictionaries
        """
        username = username or self.default_username
        if not username:
            raise ValueError("Username is required")
        
        all_comments = []
        
        self.logger.info(f"Starting Twitter comment extraction for @{username}")
        
        try:
            # Get user ID
            user = self.client.get_user(username=username)
            if not user.data:
                self.logger.error(f"User @{username} not found")
                return all_comments
            
            user_id = user.data.id
            self.logger.info(f"Found user ID: {user_id}")
            
            # Fetch tweets and their replies
            tweet_count = 0
            for tweet in tweepy.Paginator(
                self.client.get_users_tweets,
                id=user_id,
                max_results=100
            ).flatten(limit=max_tweets):
                
                tweet_count += 1
                self.logger.info(f"Processing tweet {tweet_count}/{max_tweets} (ID: {tweet.id})")
                
                # Search for replies to this tweet
                replies = self._get_tweet_replies(tweet.id, max_replies_per_tweet)
                
                for reply in replies:
                    comment = self._extract_comment(tweet, reply)
                    if comment:
                        all_comments.append(comment)
                
                self.logger.info(f"  - Found {len(replies)} replies for this tweet")
            
            self.logger.info(f"Completed Twitter scraping. Total comments: {len(all_comments)}")
            return all_comments
            
        except tweepy.errors.NotFound:
            self.logger.error(f"User @{username} not found or account is private")
            return all_comments
        except tweepy.errors.Forbidden:
            self.logger.error(f"Access forbidden for @{username}. Check API permissions.")
            return all_comments
        except tweepy.errors.TooManyRequests:
            self.logger.error("Twitter API rate limit exceeded")
            return all_comments
        except Exception as e:
            self.logger.error(f"Error scraping Twitter: {e}")
            raise
    
    def _get_tweet_replies(self, tweet_id: str, max_replies: int) -> List[Dict[str, Any]]:
        """
        Get replies for a specific tweet.
        
        Args:
            tweet_id: Original tweet ID
            max_replies: Maximum number of replies to fetch
        
        Returns:
            List of reply tweet objects
        """
        replies = []
        
        # Search for replies using conversation_id
        query = f"conversation_id:{tweet_id} is:reply"
        
        try:
            for reply in tweepy.Paginator(
                self.client.search_recent_tweets,
                query=query,
                tweet_fields=['author_id', 'created_at', 'text'],
                max_results=100
            ).flatten(limit=max_replies):
                replies.append(reply)
        except Exception as e:
            self.logger.warning(f"Error fetching replies for tweet {tweet_id}: {e}")
        
        return replies
    
    def _extract_comment(self, original_tweet: Dict[str, Any], reply_tweet: Dict[str, Any]) -> Dict[str, Any]:
        """
        Extract and standardize a reply (comment) from Twitter API response.
        
        Args:
            original_tweet: Original tweet object
            reply_tweet: Reply tweet object
            
        Returns:
            Standardized comment dictionary
        """
        try:
            # Extract reply data
            reply_id = str(reply_tweet.id)
            reply_text = reply_tweet.text
            reply_author_id = str(reply_tweet.author_id)
            reply_created_at = reply_tweet.created_at
            
            # Extract original tweet data
            original_tweet_id = str(original_tweet.id)
            
            # Build Twitter URL
            twitter_url = f"https://twitter.com/x/status/{original_tweet_id}"
            
            comment_data = {
                'comment_id': reply_id,
                'comments': reply_text,
                'author': reply_author_id,
                'published_at': self._parse_timestamp(reply_created_at.isoformat()),
                'like_count': 0,  # Twitter API v2 doesn't provide like count for replies in basic query
                'reply_count': 0,  # Would need additional API call
                'post_id': original_tweet_id,
                'media_url': twitter_url,
                'raw_data': {
                    'original_tweet_id': original_tweet_id,
                    'original_tweet_text': original_tweet.text,
                    'reply_id': reply_id,
                    'reply_author_id': reply_author_id,
                    'reply_text': reply_text,
                    'reply_at': reply_created_at.isoformat()
                }
            }
            
            return self._standardize_comment(comment_data)
            
        except Exception as e:
            self.logger.error(f"Error extracting Twitter comment: {e}")
            return None