Sector State Metrics Dashboard

Setting-up

%load_ext autotime

%load_ext autoreload

%autoreload 2

time: 10.2 ms (started: 2021-12-05 00:34:44 +00:00)

# External depences
import pandas as pd
import numpy as np
import plotly.express as px

# Move path to parent folder
import sys
sys.path.insert(1, '../')

# Internal dependences
from filecoin_metrics.connection import get_connection, get_connection_string
from filecoin_metrics.metrics import *

time: 515 ms (started: 2021-12-05 00:34:44 +00:00)

conn_string = get_connection_string('../config/sentinel-conn-string.txt')
connection = get_connection(conn_string)

time: 106 ms (started: 2021-12-05 00:34:45 +00:00)

Visualizations

Rate of missing PoST, weekly, network-wide

s = rate_missing_post_network_weekly(connection)
px.bar(s, log_y=True)

time: 1min 1s (started: 2021-12-05 00:34:45 +00:00)

Fraction of active sectors with Missing PoST, weekly, network-wide

s = fraction_missing_post_network_weekly(connection)
px.bar(s)

time: 56.7 s (started: 2021-12-05 00:35:46 +00:00)

Rate of missing PoST, weekly, per miner

d = rate_missing_post_miner_weekly(connection)

Declare Fault count per miner, top 10

s = declare_fault_count_per_miner(connection) print(s.sort_values(ascending=False).head(10))

Declare Fault rate, weekly, network-wide

from filecoin_metrics.metrics import declare_fault_weekly

s = declare_fault_weekly(connection)

fig_df = s.reset_index()

fig = px.bar(fig_df,
             x='timestamp',
             y='declare_fault_count',
             title='Weekly Declare Fault Count',
             log_y=True)
fig.show() 

time: 422 ms (started: 2021-12-05 00:36:43 +00:00)

Rate of early termination, weekly, network-wide

Average termination fee, weekly, network-wide

Renewal Events

from filecoin_metrics.metrics import renewal_count_per_epoch

s = renewal_count_per_epoch(connection)
INTERVAL = '1w'

s_count = (s.resample(INTERVAL)
            .sum()
            .backfill()
          )

s_cum = (s.cumsum()
          .resample(INTERVAL)
          .median()
          .backfill()
        )

s_cum.name = 'renewal_count_cumulative'

fig_df = (pd.DataFrame([s_count, s_cum])
            .T
            .reset_index()
            .melt(id_vars=['timestamp'])
            )

fig = px.bar(fig_df,
             x='timestamp',
             y='value',
             title='Renewal Events Count',
             facet_col='variable',
             log_y=True)
fig.show() 

time: 19.5 s (started: 2021-12-05 00:36:44 +00:00)

Renewal Gap, weekly, per miner