136 lines
6.4 KiB
Python
136 lines
6.4 KiB
Python
import asyncio
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import argparse
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import logging
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import csv
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import os.path
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from io import StringIO
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from typing import Optional
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from aiohttp import web
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from prometheus_client import generate_latest as prom_generate_latest
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from lbry.dht.constants import generate_id
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from lbry.dht.node import Node
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from lbry.dht.peer import PeerManager
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from lbry.extras.daemon.storage import SQLiteStorage
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from lbry.conf import Config
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logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)-4s %(name)s:%(lineno)d: %(message)s")
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log = logging.getLogger(__name__)
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class SimpleMetrics:
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def __init__(self, port, node):
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self.prometheus_port = port
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self.dht_node: Node = node
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self.active_estimation_semaphore = asyncio.Semaphore(1)
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async def handle_metrics_get_request(self, _):
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try:
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return web.Response(
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text=prom_generate_latest().decode(),
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content_type='text/plain; version=0.0.4'
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)
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except Exception:
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log.exception('could not generate prometheus data')
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raise
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async def handle_peers_csv(self, _):
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out = StringIO()
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writer = csv.DictWriter(out, fieldnames=["ip", "port", "dht_id"])
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writer.writeheader()
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for peer in self.dht_node.protocol.routing_table.get_peers():
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writer.writerow({"ip": peer.address, "port": peer.udp_port, "dht_id": peer.node_id.hex()})
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return web.Response(text=out.getvalue(), content_type='text/csv')
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async def handle_blobs_csv(self, _):
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out = StringIO()
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writer = csv.DictWriter(out, fieldnames=["blob_hash"])
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writer.writeheader()
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for blob in self.dht_node.protocol.data_store.keys():
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writer.writerow({"blob_hash": blob.hex()})
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return web.Response(text=out.getvalue(), content_type='text/csv')
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async def active_estimation(self, _):
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# - "crawls" the network for peers close to our node id (not a full aggressive crawler yet)
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# given everything is random, the odds of a peer having the same X prefix bits matching ours is roughly 1/(2^X)
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# we use that to estimate the network size, see issue #3463 for related papers and details
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amount = 20_000
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async with self.active_estimation_semaphore: # this is resource intensive, limit concurrency to 1
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peers = await self.dht_node.peer_search(self.dht_node.protocol.node_id, count=amount, max_results=amount)
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close_ids = [peer for peer in peers if peer.node_id[0] == self.dht_node.protocol.node_id[0]]
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return web.json_response(
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{"total_peers_found_during_estimation": len(peers),
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"peers_with_the_same_byte_prefix": len(close_ids),
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'estimated_network_size': len(close_ids) * 256})
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async def passive_estimation(self, _):
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# same method as above but instead we use the routing table and assume our implementation was able to add
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# all the reachable close peers, which should be usable for seed nodes since they are super popular
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peers = self.dht_node.protocol.routing_table.get_peers()
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close_ids = [peer for peer in peers if peer.node_id[0] == self.dht_node.protocol.node_id[0]]
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return web.json_response(
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{"total_peers_found_during_estimation": len(peers),
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"peers_with_the_same_byte_prefix": len(close_ids),
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'estimated_network_size': len(close_ids) * 256})
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async def start(self):
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prom_app = web.Application()
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prom_app.router.add_get('/metrics', self.handle_metrics_get_request)
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prom_app.router.add_get('/peers.csv', self.handle_peers_csv)
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prom_app.router.add_get('/blobs.csv', self.handle_blobs_csv)
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prom_app.router.add_get('/active_estimation', self.active_estimation)
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prom_app.router.add_get('/passive_estimation', self.passive_estimation)
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metrics_runner = web.AppRunner(prom_app)
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await metrics_runner.setup()
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prom_site = web.TCPSite(metrics_runner, "0.0.0.0", self.prometheus_port)
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await prom_site.start()
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async def main(host: str, port: int, db_file_path: str, bootstrap_node: Optional[str], prometheus_port: int):
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loop = asyncio.get_event_loop()
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conf = Config()
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if not db_file_path.startswith(':memory:'):
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node_id_file_path = db_file_path + 'node_id'
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if os.path.exists(node_id_file_path):
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with open(node_id_file_path, 'rb') as node_id_file:
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node_id = node_id_file.read()
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else:
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with open(node_id_file_path, 'wb') as node_id_file:
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node_id = generate_id()
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node_id_file.write(node_id)
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storage = SQLiteStorage(conf, db_file_path, loop, loop.time)
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if bootstrap_node:
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nodes = bootstrap_node.split(':')
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nodes = [(nodes[0], int(nodes[1]))]
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else:
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nodes = conf.known_dht_nodes
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await storage.open()
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node = Node(
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loop, PeerManager(loop), node_id, port, port, 3333, None,
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storage=storage
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)
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if prometheus_port > 0:
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metrics = SimpleMetrics(prometheus_port, node)
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await metrics.start()
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node.start(host, nodes)
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log.info("Peer with id %s started", node_id.hex())
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while True:
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await asyncio.sleep(10)
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log.info("Known peers: %d. Storing contact information for %d blobs from %d peers.",
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len(node.protocol.routing_table.get_peers()), len(node.protocol.data_store),
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len(node.protocol.data_store.get_storing_contacts()))
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(
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description="Starts a single DHT node, which then can be used as a seed node or just a contributing node.")
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parser.add_argument("--host", default='0.0.0.0', type=str, help="Host to listen for requests. Default: 0.0.0.0")
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parser.add_argument("--port", default=4444, type=int, help="Port to listen for requests. Default: 4444")
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parser.add_argument("--db_file", default='/tmp/dht.db', type=str, help="DB file to save peers. Default: /tmp/dht.db")
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parser.add_argument("--bootstrap_node", default=None, type=str,
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help="Node to connect for bootstraping this node. Leave unset to use the default ones. "
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"Format: host:port Example: lbrynet1.lbry.com:4444")
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parser.add_argument("--metrics_port", default=0, type=int, help="Port for Prometheus and raw CSV metrics. 0 to disable. Default: 0")
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args = parser.parse_args()
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asyncio.run(main(args.host, args.port, args.db_file, args.bootstrap_node, args.metrics_port))
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