58 lines
1.6 KiB
Python
58 lines
1.6 KiB
Python
import json
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from collections import deque
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from statistics import mean
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import matplotlib.pyplot as plt
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from aucoin import config
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timestamps = []
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data = []
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with open(config.data_dir.joinpath("statistics/stats.json")) as file:
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for line in file.readlines():
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stat = json.loads(line)
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d = stat["data"]
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timestamp = d["blockchain"]["header"]["timestamp"]
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timestamps.append(timestamp)
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data.append(d)
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# remove first 10 data points because the timestamp of the genesis block may cause inaccuracies
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timestamps = timestamps[10:]
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data = data[10:]
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# plot
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fig, ax1 = plt.subplots()
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ax1.set_xlabel('timestamp (UTC)')
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ax1.plot(timestamps, [d["blockchain"]["average_block_timespan"]["since_genesis"] for d in data], 'c--')
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ax1.set_ylabel('average block timespan since genesis', color='c')
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ax1.tick_params('y', colors='c')
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ax2 = ax1.twinx()
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ax2.plot(timestamps, [d["blockchain"]["header"]["difficulty"] for d in data], 'r-')
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ax2.set_ylabel('difficulty', color='r')
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ax2.tick_params('y', colors='r')
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ax3 = ax1.twinx()
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ax3.plot(timestamps, [d["blockchain"]["header"]["timespan"] for d in data], 'g.')
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ax3.set_ylabel('timespan last block', color='g')
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ax3.tick_params('y', colors='g')
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# ax4 = ax2.twinx()
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# ax4.plot(timestamps, [d.hashrate for d in data], 'y-')
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# ax4.set_ylabel('hashrate', color='y')
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# ax4.tick_params('y', colors='y')
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ax5 = ax2.twinx()
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ax5.plot(timestamps, [d["blockchain"]["average_block_timespan"]["last_100"] for d in data], 'b-')
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ax5.set_ylabel('average block timespan last 100', color='b')
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ax5.tick_params('y', colors='b')
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fig.tight_layout()
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plt.show()
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