142 lines
6.6 KiB
Python
142 lines
6.6 KiB
Python
from typing import List, Dict, Optional
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import requests
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import pandas as pd
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import os
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import time
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from datetime import datetime, timedelta
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from requests.exceptions import ConnectionError, Timeout, RequestException
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from flask import current_app
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class Scraper:
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def __init__(self, faction_id, fetch_interval, run_interval, app):
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self.faction_id = faction_id
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self.fetch_interval = fetch_interval
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self.run_interval = run_interval
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self.end_time = datetime.now() + timedelta(days=run_interval)
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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")
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self.scraping_active = False
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self.API_KEY = app.config['DEFAULT']['API_KEY']
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self.logger = app.logger
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print(self.data_file_name)
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def fetch_faction_data(self):
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url = f"https://api.torn.com/faction/{self.faction_id}?selections=&key={self.API_KEY}"
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response = requests.get(url)
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if response.status_code == 200:
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return response.json()
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current_app.logger.warning(f"Failed to fetch faction data for faction ID {self.faction_id}. Response: {response.text}")
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return None
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def fetch_user_activity(self, user_id):
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url = f"https://api.torn.com/user/{user_id}?selections=basic,profile&key={self.API_KEY}"
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retries = 3
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for attempt in range(retries):
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try:
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response = requests.get(url, timeout=10)
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response.raise_for_status()
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return response.json()
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except ConnectionError as e:
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current_app.logger.error(f"Connection error while fetching user activity for user ID {user_id}: {e}")
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except Timeout as e:
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current_app.logger.error(f"Timeout error while fetching user activity for user ID {user_id}: {e}")
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except RequestException as e:
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current_app.logger.error(f"Error while fetching user activity for user ID {user_id}: {e}")
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if attempt < retries - 1:
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current_app.logger.debug(f"Retrying {attempt + 1}/{retries} for user {user_id}")
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time.sleep(2 ** attempt) # Exponential backoff
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return None
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def start_scraping(self, app) -> None:
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"""Starts the scraping process until the end time is reached or stopped manually."""
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self.scraping_active = True
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# Anwendungskontext explizit setzen
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with app.app_context():
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current_app.logger.info(f"Starting scraping for faction ID {self.faction_id}")
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current_app.logger.debug(f"Fetch interval: {self.fetch_interval}s, Run interval: {self.run_interval} days, End time: {self.end_time}")
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MAX_FAILURES = 5 # Stop after 5 consecutive failures
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failure_count = 0
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while datetime.now() < self.end_time and self.scraping_active:
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current_app.logger.info(f"Fetching data at {datetime.now()}")
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faction_data = self.fetch_faction_data()
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if not faction_data or "members" not in faction_data:
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current_app.logger.warning(f"No faction data found for ID {self.faction_id} (Failure {failure_count + 1}/{MAX_FAILURES})")
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failure_count += 1
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if failure_count >= MAX_FAILURES:
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current_app.logger.error(f"Max failures reached ({MAX_FAILURES}). Stopping scraping.")
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break
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time.sleep(self.fetch_interval)
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continue
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current_app.logger.info(f"Fetched {len(faction_data['members'])} members for faction {self.faction_id}")
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failure_count = 0 # Reset failure count on success
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user_activity_data = self.process_faction_members(faction_data["members"])
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self.save_data(user_activity_data)
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current_app.logger.info(f"Data appended to {self.data_file_name}")
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time.sleep(self.fetch_interval)
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self.handle_scraping_end()
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def process_faction_members(self, members: Dict[str, Dict]) -> List[Dict]:
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"""Processes and retrieves user activity for all faction members."""
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user_activity_data = []
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for user_id in members.keys():
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user_activity = self.fetch_user_activity(user_id)
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if user_activity:
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user_activity_data.append({
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"user_id": user_id,
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"name": user_activity.get("name", ""),
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"last_action": user_activity.get("last_action", {}).get("timestamp", 0),
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"status": user_activity.get("status", {}).get("state", ""),
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"timestamp": datetime.now().timestamp(),
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})
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current_app.logger.info(f"Fetched data for user {user_id} ({user_activity.get('name', '')})")
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else:
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current_app.logger.warning(f"Failed to fetch data for user {user_id}")
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return user_activity_data
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def save_data(self, user_activity_data: List[Dict]) -> None:
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"""Saves user activity data to a CSV file."""
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if not user_activity_data:
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current_app.logger.warning("No data to save.")
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return
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df = pd.DataFrame(user_activity_data)
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df["last_action"] = pd.to_datetime(df["last_action"], unit="s")
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df["timestamp"] = pd.to_datetime(df["timestamp"], unit="s")
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file_exists = os.path.isfile(self.data_file_name)
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try:
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with open(self.data_file_name, "a" if file_exists else "w") as f:
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df.to_csv(f, mode="a" if file_exists else "w", header=not file_exists, index=False)
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current_app.logger.info(f"Data successfully saved to {self.data_file_name}")
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except Exception as e:
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current_app.logger.error(f"Error saving data to {self.data_file_name}: {e}")
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def handle_scraping_end(self) -> None:
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"""Handles cleanup and logging when scraping ends."""
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if not self.scraping_active:
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current_app.logger.warning(f"Scraping stopped manually at {datetime.now()}")
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elif datetime.now() >= self.end_time:
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current_app.logger.warning(f"Scraping stopped due to timeout at {datetime.now()} (Run interval: {self.run_interval} days)")
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else:
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current_app.logger.error(f"Unexpected stop at {datetime.now()}")
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current_app.logger.info("Scraping completed.")
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self.scraping_active = False
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def stop_scraping(self):
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self.scraping_active = False
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current_app.logger.debug("Scraping stopped by user")
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def get_end_time(self):
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return self.end_time() |