mirror of
https://github.com/fluencelabs/tendermint-demo
synced 2025-03-16 16:20:49 +00:00
101 lines
3.7 KiB
Python
101 lines
3.7 KiB
Python
import sys, urllib, json, datetime, time
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from parse_common import uvarint, parseutc, formatbytes, readjson, getmaxheight
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if len(sys.argv) < 2:
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print "usage: python parse_block.py host:port minheight [maxheight]"
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sys.exit()
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tmaddress = sys.argv[1]
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minheight = int(sys.argv[2])
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maxheight = int(sys.argv[3]) if len(sys.argv) > 3 else getmaxheight(tmaddress)
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accsize = 0
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acclatency = 0
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minlatency = 1e20
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maxlatency = 0
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txcount = 0
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blockcount = 0
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firsttx = 1e20
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lasttx = 0
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firstblock = 1e20
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lastblock = 0
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maxblocksize = 0
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txstat = []
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for height in range(minheight, maxheight + 1):
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data = readjson(tmaddress + "/block?height=%d" % height)
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numtxs = data["result"]["block"]["header"]["num_txs"]
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blocktimetxt = data["result"]["block"]["header"]["time"]
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blocktime = parseutc(blocktimetxt)
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if numtxs > 0:
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firstblock = min(firstblock, blocktime)
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lastblock = max(lastblock, blocktime)
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blockcount += 1
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maxblocksize = max(maxblocksize, numtxs)
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print height, numtxs, blocktimetxt
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txs = data["result"]["block"]["data"]["txs"]
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if txs:
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for index, txhex in enumerate(txs):
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txbytes = bytearray.fromhex(txhex)
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key = chr(txbytes[0]) if chr(txbytes[1]) == '=' else "*"
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connindex = uvarint(txbytes[2:8])
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txnumber = uvarint(txbytes[8:16])
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hostnamehash = txhex[32:64]
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txtime = uvarint(txbytes[32:40]) / 1e6
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if txtime < 1e9:
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txtime *= 1e6 # legacy support
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latency = blocktime - txtime
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accsize += len(txbytes)
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acclatency += latency
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minlatency = min(minlatency, latency)
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maxlatency = max(maxlatency, latency)
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txcount += 1
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firsttx = min(firsttx, txtime)
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lasttx = max(lasttx, txtime)
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txtimetxt = datetime.datetime.fromtimestamp(txtime)
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txstat.append((txtime, 1))
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txstat.append((blocktime, -1))
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if index < 5:
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print key, connindex, txnumber, hostnamehash, txtimetxt, latency
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print "Transactions: ", txcount, "=", formatbytes(accsize)
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print " ", "%.3f s" % (lasttx - firsttx), "from", datetime.datetime.fromtimestamp(firsttx), "to", datetime.datetime.fromtimestamp(lasttx)
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print "Blocks: ", blockcount
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print " ", "%.3f s" % (lastblock - firstblock), "from", datetime.datetime.fromtimestamp(firstblock), "to", datetime.datetime.fromtimestamp(lastblock)
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print "Tx send rate: ", "%.3f tx/s" % (txcount / (lasttx - firsttx)), "=", formatbytes(accsize / (lasttx - firsttx)) + "/s"
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print "Tx throughput: ", "%.3f tx/s" % (txcount / (lastblock - firsttx)), "=", formatbytes(accsize / (lastblock - firsttx)) + "/s"
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print "Block throughput:", "%.3f block/s" % (blockcount / (lastblock - firsttx))
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print "Avg tx latency: ", "%.3f s" % (acclatency / txcount)
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print "Min tx latency: ", "%.3f s" % minlatency
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print "Max tx latency: ", "%.3f s" % maxlatency
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txstat = sorted(txstat)
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cursum = 0
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curindex = 0
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steps = 1000
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stepstat = []
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for i in range(steps + 1):
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t = firsttx + (lastblock - firsttx) / steps * i
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while curindex < len(txstat) and txstat[curindex][0] <= t:
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cursum += txstat[curindex][1]
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curindex += 1
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stepstat.append(cursum)
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import matplotlib.pyplot as plt
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f = plt.figure(figsize=(15, 5))
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plt.plot([i * (lastblock - firsttx) / steps for i in range(steps + 1)], stepstat)
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plt.title("Duration: %.1f s, Tx size: %s, Tx send rate: %.3f tx/s = %s/s, Tx throughput: %.3f tx/s = %s/s" %
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(lasttx - firsttx, formatbytes(accsize / txcount),
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txcount / (lasttx - firsttx), formatbytes(accsize / (lasttx - firsttx)),
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txcount / (lastblock - firsttx), formatbytes(accsize / (lastblock - firsttx))))
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plt.xlabel("seconds from first tx")
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plt.ylabel("txs in backlog")
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f.savefig("tdmnt-stat-%d-%d-%d-%.1f-%.0f-%.0f.pdf" %
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(minheight, maxheight, maxblocksize, lasttx - firsttx, accsize / txcount, txcount / (lasttx - firsttx)), bbox_inches='tight')
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plt.show(block=True) |