255 أسطر
10 KiB
Python
255 أسطر
10 KiB
Python
# بسم الله الرحمن الرحيم
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import os
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import json
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import redis
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import boto3
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import requests
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import logging
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from datetime import datetime
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from urllib.parse import urlparse
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from typing import Dict, Any, Optional
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import time
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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class RedisConsumer:
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def __init__(self):
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# Load configuration from environment variables
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self.redis_host = os.getenv('REDIS_HOST', 'localhost')
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self.redis_port = int(os.getenv('REDIS_PORT', 6379))
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self.redis_db = int(os.getenv('REDIS_DB', 0))
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self.redis_password = os.getenv('REDIS_PASSWORD', None)
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self.queue_name = os.getenv('QUEUE_NAME', 'processing_queue')
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self.detail_view_api = os.getenv('DETAIL_VIEW_API', 'http://localhost:8000/api/detail')
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self.api_timeout = int(os.getenv('API_TIMEOUT', 45)) # Slightly more than 40 seconds
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# Retry configuration
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self.max_retries = int(os.getenv('API_MAX_RETRIES', 3))
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self.retry_delay = int(os.getenv('API_RETRY_DELAY', 2)) # seconds
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# S3 configuration
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self.s3_access_key = os.getenv('S3_ACCESS_KEY')
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self.s3_secret_key = os.getenv('S3_SECRET_KEY')
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self.s3_endpoint = os.getenv('S3_ENDPOINT_URL')
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self.s3_bucket = os.getenv('S3_BUCKET_NAME')
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self.s3_region = os.getenv('S3_REGION', 'us-east-1')
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# Validate required environment variables
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self._validate_env_vars()
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# Initialize Redis connection
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self.redis_client = redis.Redis(
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host=self.redis_host,
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port=self.redis_port,
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db=self.redis_db,
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password=self.redis_password,
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decode_responses=True
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)
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# Initialize S3 client
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self.s3_client = boto3.client(
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's3',
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aws_access_key_id=self.s3_access_key,
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aws_secret_access_key=self.s3_secret_key,
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endpoint_url=self.s3_endpoint,
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region_name=self.s3_region
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)
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logger.info("Redis consumer initialized successfully")
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def _validate_env_vars(self):
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"""Validate that all required environment variables are set"""
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required_vars = {
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'S3_ACCESS_KEY': self.s3_access_key,
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'S3_SECRET_KEY': self.s3_secret_key,
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'S3_ENDPOINT_URL': self.s3_endpoint,
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'S3_BUCKET_NAME': self.s3_bucket
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}
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missing_vars = [var for var, value in required_vars.items() if not value]
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if missing_vars:
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raise ValueError(f"Missing required environment variables: {', '.join(missing_vars)}")
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def is_valid_url(self, url: str) -> bool:
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"""Validate if the provided string is a valid URL"""
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try:
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result = urlparse(url)
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return all([result.scheme, result.netloc])
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except:
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return False
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def call_detail_view_api(self, url: str) -> Optional[Dict[str, Any]]:
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"""Call the detail view API with the provided URL with retry logic"""
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payload = {"url": url}
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for attempt in range(self.max_retries):
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try:
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logger.info(f"Calling detail view API for URL: {url} (Attempt {attempt + 1}/{self.max_retries})")
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response = requests.post(
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self.detail_view_api,
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json=payload,
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timeout=self.api_timeout
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)
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response.raise_for_status()
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return response.json()
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except requests.exceptions.Timeout:
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logger.warning(f"API request timed out for URL: {url} (Attempt {attempt + 1}/{self.max_retries})")
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if attempt < self.max_retries - 1:
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logger.info(f"Retrying in {self.retry_delay} seconds...")
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time.sleep(self.retry_delay)
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else:
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logger.error(f"All {self.max_retries} attempts failed due to timeout for URL: {url}")
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return None
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except requests.exceptions.RequestException as e:
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logger.warning(f"API request failed for URL {url} (Attempt {attempt + 1}/{self.max_retries}): {str(e)}")
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if attempt < self.max_retries - 1:
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logger.info(f"Retrying in {self.retry_delay} seconds...")
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time.sleep(self.retry_delay)
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else:
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logger.error(f"All {self.max_retries} attempts failed for URL {url}: {str(e)}")
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return None
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except json.JSONDecodeError as e:
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logger.error(f"Failed to parse API response for URL {url}: {str(e)}")
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# Don't retry on JSON decode errors as they indicate malformed response
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return None
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return None
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def store_in_s3(self, data: Dict[str, Any]) -> bool:
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"""Store the combined data in S3 with retry logic"""
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# Create folder path based on today's date
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today = datetime.now().strftime('%Y-%m-%d')
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object_key = f"{today}/{datetime.now().strftime('%Y%m%d_%H%M%S_%f')}.json"
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for attempt in range(self.max_retries):
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try:
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# Convert data to JSON string
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json_data = json.dumps(data, ensure_ascii=False)
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# Upload to S3
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self.s3_client.put_object(
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Bucket=self.s3_bucket,
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Key=object_key,
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Body=json_data,
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ContentType='application/json'
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)
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logger.info(f"Successfully stored data in S3: {object_key}")
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return True
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except Exception as e:
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logger.warning(f"Failed to store data in S3 (Attempt {attempt + 1}/{self.max_retries}): {str(e)}")
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if attempt < self.max_retries - 1:
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logger.info(f"Retrying in {self.retry_delay} seconds...")
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time.sleep(self.retry_delay)
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else:
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logger.error(f"All {self.max_retries} attempts failed to store data in S3: {str(e)}")
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return False
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return False
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def process_message(self, message: Dict[str, Any]) -> Optional[Dict[str, Any]]:
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"""Process a single message from Redis"""
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# Validate the URL
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if 'link' not in message or not self.is_valid_url(message['link']):
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logger.error(f"Invalid URL in message: {message.get('link', 'Missing')}")
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return None
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# Call the detail view API with retries
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api_response = self.call_detail_view_api(message['link'])
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if not api_response:
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return None
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# Combine the original message with the API response
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combined_data = {**message, **api_response}
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return combined_data
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def run(self):
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"""Main loop to process messages from Redis"""
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logger.info(f"Starting consumer for queue: {self.queue_name}")
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while True:
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try:
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# Use BLPOP to block until a message is available
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# This allows multiple instances to work together
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_, message_json = self.redis_client.blpop(self.queue_name, timeout=30)
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if message_json:
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try:
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message = json.loads(message_json)
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logger.info(f"Processing message: {message.get('name', 'Unknown')}")
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# Process the message
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combined_data = self.process_message(message)
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if combined_data:
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# Store in S3 with retries
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success = self.store_in_s3(combined_data)
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if not success:
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logger.error(f"Failed to store message in S3 after {self.max_retries} attempts: {message.get('name', 'Unknown')}")
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else:
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logger.warning(f"Failed to process message: {message.get('name', 'Unknown')}")
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except json.JSONDecodeError as e:
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logger.error(f"Failed to parse message as JSON: {str(e)}")
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except Exception as e:
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logger.error(f"Unexpected error processing message: {str(e)}")
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except redis.exceptions.ConnectionError:
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logger.error("Redis connection error. Attempting to reconnect...")
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self._reconnect_redis()
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except Exception as e:
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logger.error(f"Unexpected error in main loop: {str(e)}")
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# Add a small delay to prevent tight loops on errors
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time.sleep(1)
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def _reconnect_redis(self):
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"""Reconnect to Redis in case of connection issues"""
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max_reconnect_attempts = 3
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reconnect_delay = 5
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for attempt in range(max_reconnect_attempts):
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try:
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self.redis_client = redis.Redis(
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host=self.redis_host,
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port=self.redis_port,
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db=self.redis_db,
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password=self.redis_password,
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decode_responses=True
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)
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# Test the connection
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self.redis_client.ping()
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logger.info("Redis reconnected successfully")
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return
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except Exception as e:
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logger.error(f"Failed to reconnect to Redis (Attempt {attempt + 1}/{max_reconnect_attempts}): {str(e)}")
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if attempt < max_reconnect_attempts - 1:
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time.sleep(reconnect_delay)
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logger.error(f"All {max_reconnect_attempts} reconnection attempts failed")
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if __name__ == "__main__":
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# Load environment variables from .env file if it exists
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try:
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from dotenv import load_dotenv
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load_dotenv()
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logger.info("Loaded environment variables from .env file")
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except ImportError:
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pass # dotenv not installed
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try:
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consumer = RedisConsumer()
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consumer.run()
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except Exception as e:
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logger.error(f"Failed to initialize consumer: {str(e)}") |