import requests
import pandas as pd
import os
import time
from datetime import datetime, timedelta
from requests.exceptions import ConnectionError, Timeout, RequestException



from app.logging_config import get_logger

from app.config import load_config

config = load_config()
API_KEY = config['DEFAULT']['API_KEY']

logger = get_logger()

class Scraper:
    def __init__(self, faction_id, fetch_interval, run_interval, app):
        self.faction_id = faction_id
        self.fetch_interval = fetch_interval
        self.run_interval = run_interval
        self.end_time = datetime.now() + timedelta(days=run_interval)
        self.data_file_name = os.path.join(app.config['DATA']['DATA_DIR'], f"{self.faction_id}-{datetime.now().strftime('%Y-%m-%d-%H-%M')}.csv")
        self.scraping_active = False
        
        print(self.data_file_name)
        
    def fetch_faction_data(self):
        url = f"https://api.torn.com/faction/{self.faction_id}?selections=&key={API_KEY}"
        response = requests.get(url)
        if response.status_code == 200:
            return response.json()
        logger.warning(f"Failed to fetch faction data for faction ID {self.faction_id}")
        return None

    def fetch_user_activity(self, user_id):
        url = f"https://api.torn.com/user/{user_id}?selections=basic,profile&key={API_KEY}"
        retries = 3
        for attempt in range(retries):
            try:
                response = requests.get(url, timeout=10)
                response.raise_for_status()
                return response.json()
            except ConnectionError as e:
                logger.error(f"Connection error while fetching user activity for user ID {user_id}: {e}")
            except Timeout as e:
                logger.error(f"Timeout error while fetching user activity for user ID {user_id}: {e}")
            except RequestException as e:
                logger.error(f"Error while fetching user activity for user ID {user_id}: {e}")
            if attempt < retries - 1:
                time.sleep(2 ** attempt)  # Exponential backoff
        return None


    def start_scraping(self):
        self.scraping_active = True
        logger.info(f"Starting scraping process for faction ID {self.faction_id}")
        logger.debug(f"Fetch interval: {self.fetch_interval}")
        logger.debug(f"Run interval: {self.run_interval}")
        logger.debug(f"End time: {self.end_time}")

        while datetime.now() < self.end_time and self.scraping_active:
            logger.info(f"Fetching data at {datetime.now()}")
            faction_data = self.fetch_faction_data()
            if faction_data and 'members' in faction_data:
                user_activity_data = []
                for user_id, user_info in faction_data['members'].items():
                    user_activity = self.fetch_user_activity(user_id)
                    if user_activity is not None:
                        user_activity_data.append({
                            'user_id': user_id,
                            'name': user_activity.get('name', ''),
                            'last_action': user_activity.get('last_action', {}).get('timestamp', 0),
                            'status': user_activity.get('status', {}).get('state', ''),
                            'timestamp': datetime.now().timestamp()
                        })
                        logger.info(f"Fetched data for user {user_id} ({user_activity.get('name', '')})")
                    else:
                        logger.warning(f"Failed to fetch data for user {user_id}")  

                df = pd.DataFrame(user_activity_data)
                df['last_action'] = pd.to_datetime(df['last_action'], unit='s')
                df['timestamp'] = pd.to_datetime(df['timestamp'], unit='s')

                if not os.path.isfile(self.data_file_name):
                    df.to_csv(self.data_file_name, index=False)
                else:
                    df.to_csv(self.data_file_name, mode='a', header=False, index=False)

                logger.info(f"Data appended to {self.data_file_name}")
            else:
                logger.warning(f"Failed to fetch faction data or no members found for faction ID {self.faction_id}")

            time.sleep(self.fetch_interval)
        else:
            if datetime.now() < self.end_time:
                logger.warning(f"Scraping stopped at {datetime.now()} because of timeout ({self.run_interval} days, end time: {self.end_time})")
            elif not self.scraping_active:
                logger.warning(f"Scraping stopped at {datetime.now()} due to user request")
            else:
                logger.error(f"Scraping stopped due to timeout at {datetime.now()}")
        logger.info("Scraping completed.")
        self.scraping_active = False

    def stop_scraping(self):
        self.scraping_active = False
        logger.debug("Scraping stopped by user")

def generate_statistics(df):
    df['hour'] = df['timestamp'].dt.hour  # No need to convert timestamp again
    return df.groupby('hour').size()  # Activity by hour