#!/usr/bin/env python
 # Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
 # eris.py
 
 import asyncio
 import argparse
 import logging
 import logging.handlers
 import os
 import stat
 import sys
 
 sys.dont_write_bytecode = True
 
 try:
 	from elasticsearch            import AsyncElasticsearch
 	from elasticsearch.exceptions import NotFoundError
 	from elasticsearch.helpers    import async_streaming_bulk
 except ImportError:
 	raise ImportError('Missing required \'elasticsearch\' library. (pip install elasticsearch)')
 
 
 class ElasticIndexer:
 	def __init__(self, args: argparse.Namespace):
 		'''
 		Initialize the Elastic Search indexer.
 
 		:param args: Parsed arguments from argparse
 		'''
 
 		self.chunk_max  = args.chunk_max * 1024 * 1024 # MB
 		self.chunk_size = args.chunk_size
 		self.es_index   = args.index
 
 		# Sniffing disabled due to an issue with the elasticsearch 8.x client (https://github.com/elastic/elasticsearch-py/issues/2005)
 		es_config = {
 			#'hosts'               : [f'{args.host}:{args.port}'],
 			'hosts'                : [f'{args.host}:{port}' for port in ('9002', '9003', '9004')], # Temporary alternative to sniffing
 			'verify_certs'         : args.self_signed,
 			'ssl_show_warn'        : args.self_signed,
 			'request_timeout'      : args.timeout,
 			'max_retries'          : args.retries,
 			'retry_on_timeout'     : True,
 			'http_compress'        : True,
 			'connections_per_node' : 3 # Experiment with this value
 			#'sniff_on_start': True,
 			#'sniff_on_node_failure': True,
 			#'min_delay_between_sniffing': 60
 		}
 
 		if args.api_key:
 			es_config['api_key'] = (args.api_key, '') # Verify this is correct
 		else:
 			es_config['basic_auth'] = (args.user, args.password)
 
 		self.es = AsyncElasticsearch(**es_config)
 
 
 	async def close_connect(self):
 		'''Close the Elasticsearch connection.'''
 
 		await self.es.close()
 
 
 	async def create_index(self, map_body: dict, pipeline: str = None, replicas: int = 1, shards: int = 1):
 		'''
 		Create the Elasticsearch index with the defined mapping.
 
 		:param map_body: Mapping for the index
 		:param pipeline: Name of the ingest pipeline to use for the index
 		:param replicas: Number of replicas for the index
 		:param shards: Number of shards for the index
 		'''
 
 		if await self.es.indices.exists(index=self.es_index):
 			logging.info(f'Index \'{self.es_index}\' already exists.')
 			return
 
 		mapping = map_body
 
 		mapping['settings'] = {
 			'number_of_shards'   : shards,
 			'number_of_replicas' : replicas
 		}
 
 		if pipeline:
 			try:
 				await self.es.ingest.get_pipeline(id=pipeline)
 				logging.info(f'Using ingest pipeline \'{pipeline}\' for index \'{self.es_index}\'')
 				mapping['settings']['index.default_pipeline'] = pipeline
 			except NotFoundError:
 				raise ValueError(f'Ingest pipeline \'{pipeline}\' does not exist.')
 
 		response = await self.es.indices.create(index=self.es_index, body=mapping)
 
 		if response.get('acknowledged') and response.get('shards_acknowledged'):
 			logging.info(f'Index \'{self.es_index}\' successfully created.')
 		else:
 			raise Exception(f'Failed to create index. ({response})')
 
 
 	async def process_data(self, file_path: str, data_generator: callable):
 		'''
 		Index records in chunks to Elasticsearch.
 
 		:param file_path: Path to the file
 		:param index_name: Name of the index
 		:param data_generator: Generator for the records to index
 		'''
 
 		count = 0
 		total = 0
 
 		try:
 			async for ok, result in async_streaming_bulk(self.es, actions=data_generator(file_path), chunk_size=self.chunk_size, max_chunk_bytes=self.chunk_max):
 				action, result = result.popitem()
 
 				if not ok:
 					logging.error(f'Failed to index document ({result["_id"]}) to {self.es_index} from {file_path} ({result})')
 					continue
 
 				count += 1
 				total += 1
 
 				if count == self.chunk_size:
 					logging.info(f'Successfully indexed {self.chunk_size:,} ({total:,} processed) records to {self.es_index} from {file_path}')
 					count = 0
 
 			logging.info(f'Finished indexing {total:,} records to {self.es_index} from {file_path}')
 
 		except Exception as e:
 			raise Exception(f'Failed to index records to {self.es_index} from {file_path} ({e})')
 
 
 def setup_logger(console_level: int = logging.INFO, file_level: int = None, log_file: str = 'debug.json', max_file_size: int = 10*1024*1024, backups: int = 5, ecs_format: bool = False):
 	'''
 	Setup the global logger for the application.
 
 	:param console_level: Minimum level to capture logs to the console.
 	:param file_level: Minimum level to capture logs to the file.
 	:param log_file: File to write logs to.
 	:param max_file_size: Maximum size of the log file before it is rotated.
 	:param backups: Number of backup log files to keep.
 	:param ecs_format: Use the Elastic Common Schema (ECS) format for logs.
 	'''
 
 	# Configure the root logger
 	logger = logging.getLogger()
 	logger.setLevel(logging.DEBUG) # Minimum level to capture all logs
 
 	# Clear existing handlersaise Exception(f'Failed to fetch zone links: {e}')
 	logger.handlers = []
 
 	# Setup console handler
 	console_handler = logging.StreamHandler()
 	console_handler.setLevel(console_level)
 	console_formatter = logging.Formatter('%(asctime)s | %(levelname)9s | %(message)s', '%I:%M:%S')
 	console_handler.setFormatter(console_formatter)
 	logger.addHandler(console_handler)
 
 	# Setup rotating file handler if file logging is enabled
 	if file_level is not None:
 		file_handler = logging.handlers.RotatingFileHandler(log_file, maxBytes=max_file_size, backupCount=backups)
 		file_handler.setLevel(file_level)
   
 		# Setup formatter to use ECS format if enabled or default format
 		if ecs_format:
 			try:
 				from ecs_logging import StdlibFormatter
 			except ImportError:
 				raise ImportError('Missing required \'ecs-logging\' library. (pip install ecs-logging)')
 			file_formatter = StdlibFormatter() # ECS formatter
 		else:
 			file_formatter = logging.Formatter('%(asctime)s | %(levelname)9s | %(message)s', '%Y-%m-%d %H:%M:%S')
         
 		file_handler.setFormatter(file_formatter)
 		logger.addHandler(file_handler)
 
 
 async def main():
 	'''Main function when running this script directly.'''
 
 	parser = argparse.ArgumentParser(description='Elasticsearch Recon Ingestion Scripts (ERIS)')
 
 	# General arguments
 	parser.add_argument('input_path', help='Path to the input file or directory') # Required
 	parser.add_argument('--watch', action='store_true', help='Create or watch a FIFO for real-time indexing')
 	parser.add_argument('--log', choices=['debug', 'info', 'warning', 'error', 'critical'], help='Logging file level (default: disabled)')
 	parser.add_argument('--ecs', action='store_true', default=False, help='Use the Elastic Common Schema (ECS) for logging')
 
 	# Elasticsearch arguments
 	parser.add_argument('--host', default='http://localhost', help='Elasticsearch host')
 	parser.add_argument('--port', type=int, default=9200, help='Elasticsearch port')
 	parser.add_argument('--user', default='elastic', help='Elasticsearch username')
 	parser.add_argument('--password', default=os.getenv('ES_PASSWORD'), help='Elasticsearch password (if not provided, check environment variable ES_PASSWORD)')
 	parser.add_argument('--api-key', default=os.getenv('ES_APIKEY'), help='Elasticsearch API Key for authentication (if not provided, check environment variable ES_APIKEY)')
 	parser.add_argument('--self-signed', action='store_false', help='Elasticsearch is using self-signed certificates')
 
 	# Elasticsearch indexing arguments
 	parser.add_argument('--index', help='Elasticsearch index name')
 	parser.add_argument('--pipeline', help='Use an ingest pipeline for the index')
 	parser.add_argument('--replicas', type=int, default=1, help='Number of replicas for the index')
 	parser.add_argument('--shards', type=int, default=1, help='Number of shards for the index')
 
 	# Performance arguments
 	parser.add_argument('--chunk-size', type=int, default=50000, help='Number of records to index in a chunk')
 	parser.add_argument('--chunk-max', type=int, default=100, help='Maximum size of a chunk in bytes')
 	parser.add_argument('--retries', type=int, default=30, help='Number of times to retry indexing a chunk before failing')
 	parser.add_argument('--timeout', type=int, default=60, help='Number of seconds to wait before retrying a chunk')
 
 	# Ingestion arguments
 	parser.add_argument('--certstream', action='store_true', help='Index Certstream records')
 	parser.add_argument('--httpx', action='store_true', help='Index Httpx records')
 	parser.add_argument('--masscan', action='store_true', help='Index Masscan records')
 	parser.add_argument('--massdns', action='store_true', help='Index Massdns records')
 	parser.add_argument('--zone', action='store_true', help='Index Zone records')
 
 	args = parser.parse_args()
 
 	if args.log:
 		levels = {'debug': logging.DEBUG, 'info': logging.INFO, 'warning': logging.WARNING, 'error': logging.ERROR, 'critical': logging.CRITICAL}
 		setup_logger(file_level=levels[args.log], log_file='eris.log', ecs_format=args.ecs)
 	else:
 		setup_logger()
 
 	if args.host.endswith('/'):
 		args.host = args.host[:-1]
 
 	if args.watch:
 		if not os.path.exists(args.input_path):
 			os.mkfifo(args.input_path)
 		elif not stat.S_ISFIFO(os.stat(args.input_path).st_mode):
 			raise ValueError(f'Path {args.input_path} is not a FIFO')
 	elif not os.path.isdir(args.input_path) and not os.path.isfile(args.input_path):
 		raise FileNotFoundError(f'Input path {args.input_path} does not exist or is not a file or directory')
 
 	logging.info(f'Connecting to Elasticsearch at {args.host}:{args.port}')
 
 	edx = ElasticIndexer(args)
 
 	if args.certstream:
 		from ingestors import ingest_certstream as ingestor
 	elif args.httpx:
 		from ingestors import ingest_httpx      as ingestor
 	elif args.masscan:
 		from ingestors import ingest_masscan    as ingestor
 	elif args.massdns:
 		from ingestors import ingest_massdns    as ingestor
 	elif args.zone:
 		from ingestors import ingest_zone       as ingestor
 	else:
 		raise ValueError('No ingestor specified')
 
 	health = await edx.es.cluster.health()
 	logging.info(health)
 
 	#await asyncio.sleep(5) # Delay to allow time for sniffing to complete (Sniffer temporarily disabled)
 
 	if not edx.es_index:
 		edx.es_index = ingestor.default_index
 
 	map_body = ingestor.construct_map()
 	await edx.create_index(map_body, args.pipeline, args.replicas, args.shards)
 
 	if os.path.isfile(args.input_path):
 		logging.info(f'Processing file: {args.input_path}')
 		await edx.process_data(args.input_path, ingestor.process_data)
 
 	elif stat.S_ISFIFO(os.stat(args.input_path).st_mode):
 		logging.info(f'Watching FIFO: {args.input_path}')
 		await edx.process_data(args.input_path, ingestor.process_data)
 
 	elif os.path.isdir(args.input_path):
 		count = 1
 		total = len(os.listdir(args.input_path))
 		logging.info(f'Processing {total:,} files in directory: {args.input_path}')
 		for file in sorted(os.listdir(args.input_path)):
 			file_path = os.path.join(args.input_path, file)
 			if os.path.isfile(file_path):
 				logging.info(f'[{count:,}/{total:,}] Processing file: {file_path}')
 				await edx.process_data(file_path, ingestor.process_data)
 				count += 1
 			else:
 				logging.warning(f'[{count:,}/{total:,}] Skipping non-file: {file_path}')
 
 	await edx.close_connect() # Close the Elasticsearch connection to stop "Unclosed client session" warnings
 
 
 
 if __name__ == '__main__':
 	print('')
 	print('┏┓┳┓┳┏┓   Elasticsearch Recon Ingestion Scripts')
 	print('┣ ┣┫┃┗┓        Developed by Acidvegas in Python')
 	print('┗┛┛┗┻┗┛             https://git.acid.vegas/eris')
 	print('')
 	asyncio.run(main())

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