eris/async_dev/eris.py

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#!/usr/bin/env python
# Elasticsearch Recon Ingestion Scripts (ERIS) - Developed by Acidvegas (https://git.acid.vegas/eris)
# eris.py [asyncronous developement]
import argparse
import logging
import os
import stat
import time
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)')
# Setting up logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', datefmt='%m/%d %I:%M:%S')
class ElasticIndexer:
def __init__(self, args: argparse.Namespace):
'''
Initialize the Elastic Search indexer.
:param args: Parsed arguments from argparse
'''
self.chunk_size = args.chunk_size
self.chunk_threads = args.chunk_threads
self.dry_run = args.dry_run
self.es_index = args.index
if not args.dry_run:
es_config = {
'hosts': [f'{args.host}:{args.port}'],
'verify_certs': args.self_signed,
'ssl_show_warn': args.self_signed,
'request_timeout': args.timeout,
'max_retries': args.retries,
'retry_on_timeout': True,
'sniff_on_start': True, # Is this problematic?
'sniff_on_node_failure': True,
'min_delay_between_sniffing': 60 # Add config option for this?
}
if args.api_key:
es_config['api_key'] = (args.key, '') # Verify this is correct
else:
es_config['basic_auth'] = (args.user, args.password)
# Patching the Elasticsearch client to fix a bug with sniffing (https://github.com/elastic/elasticsearch-py/issues/2005#issuecomment-1645641960)
import sniff_patch
self.es = sniff_patch.init_elasticsearch(**es_config)
# Remove the above and uncomment the below if the bug is fixed in the Elasticsearch client:
#self.es = AsyncElasticsearch(**es_config)
async def create_index(self, map_body: dict, pipeline: str = '', replicas: int = 1, shards: int = 1, ):
'''
Create the Elasticsearch index with the defined mapping.
:param pipline: 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 get_cluster_health(self) -> dict:
'''Get the health of the Elasticsearch cluster.'''
return await self.es.cluster.health()
async def get_cluster_size(self) -> int:
'''Get the number of nodes in the Elasticsearch cluster.'''
cluster_stats = await self.es.cluster.stats()
number_of_nodes = cluster_stats['nodes']['count']['total']
return number_of_nodes
async def async_bulk_index_data(self, file_path: str, index_name: 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
async for ok, result in async_streaming_bulk(self.es, index_name=self.es_index, actions=data_generator(file_path), chunk_size=self.chunk_size):
action, result = result.popitem()
if not ok:
logging.error(f'Failed to index document ({result["_id"]}) to {index_name} from {file_path} ({result})')
input('Press Enter to continue...') # Debugging (will possibly remove this since we have retries enabled)
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 {self.total:,} records to {self.es_index} from {file_path}')
async def process_file(self, file_path: str, ingest_function: callable):
'''
Read and index records in batches to Elasticsearch.
:param file_path: Path to the file
:param batch_size: Number of records to index per batch
:param ingest_function: Function to process the file
'''
count = 0
async for processed in ingest_function(file_path):
if not processed:
break
if self.dry_run:
print(processed)
continue
count += 1
yield {'_index': self.es_index, '_source': processed}
def main():
'''Main function when running this script directly.'''
parser = argparse.ArgumentParser(description='Index data into Elasticsearch.')
# General arguments
parser.add_argument('input_path', help='Path to the input file or directory') # Required
parser.add_argument('--dry-run', action='store_true', help='Dry run (do not index records to Elasticsearch)')
parser.add_argument('--watch', action='store_true', help='Create or watch a FIFO for real-time indexing')
# Elasticsearch arguments
parser.add_argument('--host', default='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=3, 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-threads', type=int, default=3, help='Number of threads to use when indexing in chunks')
parser.add_argument('--retries', type=int, default=60, help='Number of times to retry indexing a chunk before failing')
parser.add_argument('--timeout', type=int, default=30, help='Number of seconds to wait before retrying a chunk')
# Ingestion arguments
parser.add_argument('--cert', 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.watch:
if not os.path.exists(args.input_path):
os.mkfifo(args.input_path)
elif os.path.exists(args.input_path) and 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')
edx = ElasticIndexer(args)
if args.cert:
from ingestors import ingest_certs as ingestor
if 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
batch_size = 0
if not args.dry_run:
print(edx.get_cluster_health())
time.sleep(3) # Delay to allow time for sniffing to complete
nodes = edx.get_cluster_size()
logging.info(f'Connected to {nodes:,} Elasticsearch node(s)')
if not edx.es_index:
edx.es_index = ingestor.default_index
map_body = ingestor.construct_map()
edx.create_index(map_body, args.pipeline, args.replicas, args.shards)
batch_size = int(nodes * (args.chunk_size * args.chunk_threads))
if os.path.isfile(args.input_path):
logging.info(f'Processing file: {args.input_path}')
edx.process_file(args.input_path, batch_size, ingestor.process_file)
elif stat.S_ISFIFO(os.stat(args.input_path).st_mode):
logging.info(f'Watching FIFO: {args.input_path}')
edx.process_file(args.input_path, batch_size, ingestor.process_file)
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}')
edx.process_file(file_path, batch_size, ingestor.process_file)
count += 1
else:
logging.warning(f'[{count:,}/{total:,}] Skipping non-file: {file_path}')
if __name__ == '__main__':
main()