Log Analysis and Visulization

import utils
import os
from os import path
import datetime
import pandas as pd

Result

• Statistics Summary
  • transaction per second
  • time per block
  • size
  • gas

• Features vs Time / Block Height (with all shards / per shard)
  • staking transaction per second
  • total transaction per second
  • transaction per second
  • time per block
  • size
  • gas

if __name__ == "__main__":
    
    date = datetime.date.today()-datetime.timedelta(days=1)
    name = "mainnet_"+date.strftime("%Y_%m_%d")+".log"
    fig_dir = "../../graphs/test_logs/mainnet/" + date.strftime("%Y_%m_%d") + "/"
    log_dir = "/home/ubuntu/jupyter/monitor/mini_explorer/data/" + name
    html_dir = "../../docs/graphs/test_logs/mainnet/" + date.strftime("%Y_%m_%d") + "/"

    data = [html_dir, fig_dir]
    for directory in data:
        if not path.exists(directory):
            try:
                os.makedirs(directory)
            except:
                print("Could not make directory")
                exit(1)

    data = utils.read_data(log_dir)
    shard = utils.data_processing(data)
    
    utils.set_config({
        'ignore_printing_statistics_summary': False,
        'ignore_drawing_features_vs_time_per_shard' : True,
        'ignore_drawing_features_vs_block_per_shard' : True,
        'ignore_drawing_staking_features_vs_time_per_shard' : True,
        'ignore_drawing_staking_features_vs_block_per_shard' : True,
        'ignore_drawing_features_vs_time' : False,
        'ignore_drawing_features_vs_block' : True
    })
    
    config = utils.config
    ## get the index of the new chain started
    index = []
    for s in shard:
        i = s[s['time_per_block'] < 0].index.tolist()   
        if len(i) == 0:
            break
        i.insert(0,0)
        i.append(len(s))
        index.append(i)
    
    if len(index) == 0:
        new = pd.concat(shard)
        new.reset_index(inplace = True, drop = True)
        print("transaction for ", date, new['transactions'].sum())
        utils.visualization(new, fig_dir, html_dir, config)
    else:    
        for i in range(len(index[0])-1):
            df = []
            for s in range(len(shard)):
                df.append(shard[s].iloc[index[s][i]+1:index[s][i+1]])
            new = pd.concat(df)

            fig_path = fig_dir + "chain_" + str(i) + "/"
            if not os.path.exists(fig_path):
                os.makedirs(fig_path)

            utils.visualization(new, fig_path, html_dir, config)

transaction for  2020-04-27 536
Statistics summary for shard 0
==================================
Total data points: 10504
              size            gas  transaction_per_second  time_per_block
mean    753.393469    1150.352628                0.005926        8.224391
std     705.492087    6640.618299                0.028084        0.420610
min     738.000000       0.000000                0.000000        8.000000
25%     738.000000       0.000000                0.000000        8.000000
50%     738.000000       0.000000                0.000000        8.000000
75%     738.000000       0.000000                0.000000        8.000000
max   72777.000000  173792.000000                0.500000       11.000000

Statistics summary for shard 1
==================================
Total data points: 10587
             size           gas  transaction_per_second  time_per_block
mean   738.404269     15.868518                0.000092        8.160102
std     19.088584    577.077571                0.003344        0.366718
min    738.000000      0.000000                0.000000        8.000000
25%    738.000000      0.000000                0.000000        8.000000
50%    738.000000      0.000000                0.000000        8.000000
75%    738.000000      0.000000                0.000000        8.000000
max   1859.000000  21000.000000                0.125000        9.000000

Statistics summary for shard 2
==================================
Total data points: 10600
              size           gas  transaction_per_second  time_per_block
mean    745.294717     13.867925                0.000081        8.150943
std     700.043510    539.501209                0.003163        0.358011
min     738.000000      0.000000                0.000000        8.000000
25%     738.000000      0.000000                0.000000        8.000000
50%     738.000000      0.000000                0.000000        8.000000
75%     738.000000      0.000000                0.000000        8.000000
max   72777.000000  21000.000000                0.125000        9.000000

Statistics summary for shard 3
==================================
Total data points: 10494
              size           gas  transaction_per_second  time_per_block
mean    745.176768     18.010292                0.000103        8.232990
std     703.403836    614.758299                0.003529        0.422756
min     738.000000      0.000000                0.000000        8.000000
25%     738.000000      0.000000                0.000000        8.000000
50%     738.000000      0.000000                0.000000        8.000000
75%     738.000000      0.000000                0.000000        8.000000
max   72777.000000  21000.000000                0.125000        9.000000

Features vs Time
PNG saved in ../../graphs/test_logs/mainnet/2020_04_27/
==================================

HTML saved in 

https://harmony-one.github.io/harmony-log-analysis/graphs/test_logs/mainnet/2020_04_27/transaction_per_second_vs_time.html

HTML saved in 

https://harmony-one.github.io/harmony-log-analysis/graphs/test_logs/mainnet/2020_04_27/time_per_block_vs_time.html

HTML saved in 

https://harmony-one.github.io/harmony-log-analysis/graphs/test_logs/mainnet/2020_04_27/size_vs_time.html

HTML saved in 

https://harmony-one.github.io/harmony-log-analysis/graphs/test_logs/mainnet/2020_04_27/gas_vs_time.html