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A quick script to plot the balance over time of a C-lightning routing node using the report from `bkpr-listincome`
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| import json | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| from datetime import datetime | |
| STARTING_BALANCE = 0 | |
| with open("bkpr_report.json", "r") as report: | |
| events = json.load(report)["income_events"] | |
| # Balance variations per day, disregarding our own payments. | |
| variations = {} | |
| for e in events: | |
| if e["tag"] == "invoice" or e["tag"] == "invoice_fee": | |
| continue | |
| date = datetime.fromtimestamp(e["timestamp"]).strftime("%Y-%m-%d") | |
| if date not in variations: | |
| variations[date] = 0 | |
| variations[date] += (e["credit_msat"] - e["debit_msat"]) // 1_000 | |
| fig, ax = plt.subplots() | |
| fig.suptitle("Balance over time, no payments") | |
| ax.plot(variations.keys(), variations.values(), label="Balance variations", color="orange") | |
| ax.set_xticks(np.arange(0, len(variations), len(variations) // 5)) | |
| ax.set_ylabel("Variations (sats)") | |
| ax.legend(loc="upper right") | |
| # Balance per day, disregarding our own payments. NOTE: dicts are sorted since Python 3.7 | |
| balance, balances = (STARTING_BALANCE, {}) | |
| for ts, var in variations.items(): | |
| balance += var / 10**8 | |
| balances[ts] = balance | |
| bal_ax = ax.twinx() | |
| bal_ax.plot(balances.keys(), balances.values(), label="Balance", color="blue") | |
| bal_ax.set_ylabel("Balance (BTC)") | |
| bal_ax.legend(loc="upper left") | |
| plt.show() |
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