mirror of
https://github.com/permissionlesstech/georelays.git
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* Add relay count tracking workflow with dual charts This commit adds: - New GitHub workflow to track relay counts - Two charts: BitChat-compatible relays and total functioning relays - Extended history for both charts (70 days) - Project structure improvements with scripts and assets directories - Updated documentation in README.md and other files - Dependencies in requirements.txt * Remove overlapping data point labels from relay count charts * Add .venv to gitignore * Add relay location maps and automation workflow * Improve relay maps with proper world map backgrounds using cartopy * Add relay location map to README * update readme
234 lines
7.5 KiB
Python
Executable File
234 lines
7.5 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Track Relay Count Changes
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This script analyzes the git history of relay data files to track how
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the number of relay entries changes over time. It generates charts showing
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the trend over the last 70 commits that modified the files (approximately 70 days).
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Two charts are generated:
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1. BitChat Relay Count - from nostr_relays.csv (relays supporting kind 20000)
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2. Total Relay Count - from relay_discovery_results.json (all functioning relays)
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"""
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import os
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import subprocess
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import re
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import json
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import pandas as pd
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import matplotlib.pyplot as plt
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import matplotlib.dates as mdates
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from datetime import datetime
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import numpy as np
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# Function to get the count of BitChat relays in a specific commit
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def get_relay_count(commit_hash):
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"""
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Get the count of BitChat relay entries in the CSV file at a specific commit.
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Args:
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commit_hash: Git commit hash
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Returns:
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int: Number of relay entries (excluding header)
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"""
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try:
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# Get the file content at this commit
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result = subprocess.run(
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['git', 'show', f'{commit_hash}:nostr_relays.csv'],
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capture_output=True, text=True, check=True
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)
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# Count lines excluding header
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lines = result.stdout.strip().split('\n')
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# Subtract 1 for the header row
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return len(lines) - 1 if lines else 0
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except subprocess.CalledProcessError:
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# File might not exist in this commit
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return 0
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# Function to get the count of total functioning relays in a specific commit
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def get_total_relay_count(commit_hash):
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"""
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Get the count of total functioning relays from the JSON file at a specific commit.
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Args:
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commit_hash: Git commit hash
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Returns:
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int: Number of functioning relays
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"""
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try:
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# Get the file content at this commit
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result = subprocess.run(
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['git', 'show', f'{commit_hash}:relay_discovery_results.json'],
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capture_output=True, text=True, check=True
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)
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# Parse JSON and get the count from functioning_relays array
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data = json.loads(result.stdout)
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return len(data.get('functioning_relays', []))
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except (subprocess.CalledProcessError, json.JSONDecodeError, KeyError) as e:
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print(f"Error getting total relay count from commit {commit_hash}: {e}")
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return 0
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# Function to extract date from commit message
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def extract_date_from_commit(commit_hash):
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"""
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Extract the date from a commit.
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Args:
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commit_hash: Git commit hash
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Returns:
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datetime: Commit date
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"""
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try:
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result = subprocess.run(
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['git', 'show', '-s', '--format=%ci', commit_hash],
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capture_output=True, text=True, check=True
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)
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commit_date = result.stdout.strip()
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return datetime.strptime(commit_date, '%Y-%m-%d %H:%M:%S %z')
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except Exception as e:
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print(f"Error extracting date from commit {commit_hash}: {e}")
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return None
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def create_plot(data_frame, title, y_label, output_path):
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"""
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Create and save a plot from the given data.
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Args:
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data_frame: DataFrame containing 'date' and 'count' columns
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title: Title for the plot
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y_label: Label for Y-axis
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output_path: Path to save the plot
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"""
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if data_frame.empty:
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print(f"No data found to generate {title} chart")
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return
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plt.figure(figsize=(12, 6))
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plt.plot(data_frame['date'], data_frame['count'], marker='o', linestyle='-', linewidth=2)
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# Add title and labels
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plt.title(title, fontsize=16)
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plt.xlabel('Date', fontsize=12)
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plt.ylabel(y_label, fontsize=12)
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# Format the x-axis to show dates nicely
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plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
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plt.gca().xaxis.set_major_locator(mdates.AutoDateLocator())
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# Add grid and rotate date labels
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plt.grid(True, linestyle='--', alpha=0.7)
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plt.xticks(rotation=45)
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# Add current count in the corner
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if not data_frame.empty:
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latest_count = data_frame['count'].iloc[-1]
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plt.annotate(
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f"Latest Count: {latest_count}",
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xy=(0.02, 0.96),
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xycoords='axes fraction',
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fontsize=12,
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bbox=dict(boxstyle="round,pad=0.3", fc="white", alpha=0.8)
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)
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# Adjust layout and save
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plt.tight_layout()
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# Save the chart
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plt.savefig(output_path, dpi=300)
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# Close the figure to prevent memory leaks
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plt.close()
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# Return summary
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return len(data_frame), latest_count if not data_frame.empty else 'N/A'
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def main():
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"""
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Main function to track relay count changes and generate charts.
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"""
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# Change to the root directory of the project if necessary
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script_dir = os.path.dirname(os.path.abspath(__file__))
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root_dir = os.path.dirname(script_dir)
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os.chdir(root_dir)
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# Ensure the assets directory exists
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os.makedirs('assets', exist_ok=True)
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# Get commits that modified the nostr_relays.csv file
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bitchat_result = subprocess.run(
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['git', 'log', '--format=%H', '-n', '70', '--', 'nostr_relays.csv'],
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capture_output=True, text=True
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)
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bitchat_commit_hashes = bitchat_result.stdout.strip().split('\n')
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# Get commits that modified the relay_discovery_results.json file
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total_result = subprocess.run(
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['git', 'log', '--format=%H', '-n', '70', '--', 'relay_discovery_results.json'],
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capture_output=True, text=True
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)
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total_commit_hashes = total_result.stdout.strip().split('\n')
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# Collect BitChat relay data
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bitchat_data = []
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for commit_hash in bitchat_commit_hashes:
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if not commit_hash:
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continue
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date = extract_date_from_commit(commit_hash)
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count = get_relay_count(commit_hash)
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if date and count > 0: # Only add valid entries
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bitchat_data.append({
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'date': date,
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'commit': commit_hash,
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'count': count
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})
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# Collect total relay data
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total_data = []
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for commit_hash in total_commit_hashes:
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if not commit_hash:
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continue
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date = extract_date_from_commit(commit_hash)
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count = get_total_relay_count(commit_hash)
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if date and count > 0: # Only add valid entries
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total_data.append({
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'date': date,
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'commit': commit_hash,
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'count': count
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})
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# Create DataFrames and sort by date
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bitchat_df = pd.DataFrame(bitchat_data).sort_values('date') if bitchat_data else pd.DataFrame()
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total_df = pd.DataFrame(total_data).sort_values('date') if total_data else pd.DataFrame()
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# Create and save plots
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bitchat_stats = create_plot(
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bitchat_df,
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'BitChat-Compatible Relay Count Over Time',
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'Number of BitChat Relays',
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'assets/bitchat_relay_count_chart.png'
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)
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total_stats = create_plot(
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total_df,
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'Total Functioning Relay Count Over Time',
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'Number of Functioning Relays',
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'assets/total_relay_count_chart.png'
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)
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# Print summary for log
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if bitchat_stats:
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print(f"Generated BitChat relay chart with {bitchat_stats[0]} data points")
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print(f"Latest BitChat relay count: {bitchat_stats[1]}")
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if total_stats:
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print(f"Generated total relay chart with {total_stats[0]} data points")
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print(f"Latest total relay count: {total_stats[1]}")
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if __name__ == "__main__":
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main()
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