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add granular metric for stored blob prefix, for network announcements calculation

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This commit is contained in:
Victor Shyba 2021-12-22 17:53:24 -03:00
parent 39c2c0b922
commit b4d144da21
1 changed files with 13 additions and 0 deletions
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13
lbry/dht/node.py
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@ -24,6 +24,10 @@ class Node:
"storing_peers", "Number of peers storing blobs announced to this node", namespace="dht_node",
labelnames=("scope",),
)
stored_blob_with_x_bytes_colliding = Gauge(
"stored_blobs_x_bytes_colliding", "Number of blobs with at least X bytes colliding with this node id prefix",
namespace="dht_node", labelnames=("amount",)
)
def __init__(self, loop: asyncio.AbstractEventLoop, peer_manager: 'PeerManager', node_id: bytes, udp_port: int,
internal_udp_port: int, peer_port: int, external_ip: str, rpc_timeout: float = constants.RPC_TIMEOUT,
split_buckets_under_index: int = constants.SPLIT_BUCKETS_UNDER_INDEX,
@ -55,6 +59,15 @@ class Node:
self.storing_peers_metric.labels("global").set(len(storing_peers))
total_peers.extend(storing_peers)
counts = {0: 0, 1: 0, 2: 0}
node_id = self.protocol.node_id
for blob_hash in self.protocol.data_store.keys():
bytes_colliding = 0 if blob_hash[0] != node_id[0] else 2 if blob_hash[1] == node_id[1] else 1
counts[bytes_colliding] += 1
self.stored_blob_with_x_bytes_colliding.labels(amount=0).set(counts[0])
self.stored_blob_with_x_bytes_colliding.labels(amount=1).set(counts[1])
self.stored_blob_with_x_bytes_colliding.labels(amount=2).set(counts[2])
# get ids falling in the midpoint of each bucket that hasn't been recently updated
node_ids = self.protocol.routing_table.get_refresh_list(0, True)
# if we have 3 or fewer populated buckets get two random ids in the range of each to try and