forked from LBRYCommunity/lbry-sdk
better endpoint names, small docs
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1 changed files with 12 additions and 8 deletions
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@ -56,26 +56,30 @@ class SimpleMetrics:
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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 estimate_peers(self, request: web.Request):
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amount = 2000
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async def active_estimation(self, request: web.Request):
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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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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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print(self.dht_node.protocol.node_id.hex())
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print([cid.node_id.hex() for cid in close_ids])
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return web.json_response({"total": len(peers), "close": len(close_ids)})
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async def peers_in_routing_table(self, request: web.Request):
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async def passive_estimation(self, request: web.Request):
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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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total_peers = self.dht_node.protocol.routing_table.get_peers()
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close_ids = [peer for peer in total_peers if peer.node_id[0] == self.dht_node.protocol.node_id[0]]
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return web.json_response({"total": len(total_peers), "close": len(close_ids), 'estimated_network_size': len(close_ids) * 256})
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return web.json_response(
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{"total": len(total_peers), "close": len(close_ids), '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('/estimate', self.estimate_peers)
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prom_app.router.add_get('/count', self.peers_in_routing_table)
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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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