import json
from collections import deque
from statistics import mean

import matplotlib.pyplot as plt

from aucoin import config


timestamps = []
data = []
with open(config.data_dir.joinpath("statistics/stats.json")) as file:
    for line in file.readlines():
        stat = json.loads(line)

        d = stat["data"]
        timestamp = d["blockchain"]["header"]["timestamp"]

        timestamps.append(timestamp)
        data.append(d)


# remove first 10 data points because the timestamp of the genesis block may cause inaccuracies
timestamps = timestamps[10:]
data = data[10:]

# plot
fig, ax1 = plt.subplots()

ax1.set_xlabel('timestamp (UTC)')

ax1.plot(timestamps, [d["blockchain"]["average_block_timespan"]["since_genesis"] for d in data], 'c--')
ax1.set_ylabel('average block timespan since genesis', color='c')
ax1.tick_params('y', colors='c')

ax2 = ax1.twinx()
ax2.plot(timestamps, [d["blockchain"]["header"]["difficulty"] for d in data], 'r-')
ax2.set_ylabel('difficulty', color='r')
ax2.tick_params('y', colors='r')

ax3 = ax1.twinx()
ax3.plot(timestamps, [d["blockchain"]["header"]["timespan"] for d in data], 'g.')
ax3.set_ylabel('timespan last block', color='g')
ax3.tick_params('y', colors='g')

# ax4 = ax2.twinx()
# ax4.plot(timestamps, [d.hashrate for d in data], 'y-')
# ax4.set_ylabel('hashrate', color='y')
# ax4.tick_params('y', colors='y')

ax5 = ax2.twinx()
ax5.plot(timestamps, [d["blockchain"]["average_block_timespan"]["last_100"] for d in data], 'b-')
ax5.set_ylabel('average block timespan last 100', color='b')
ax5.tick_params('y', colors='b')

fig.tight_layout()
plt.show()