mirror of
https://github.com/permissionlesstech/georelays.git
synced 2026-07-25 01:05:19 +00:00
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
This commit is contained in:
@@ -0,0 +1,64 @@
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name: Track Relay Count Changes
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on:
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# Run after the "Update Relay Data" workflow completes
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workflow_run:
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workflows: ["Update Relay Data"]
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types:
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- completed
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# Also allow manual triggering
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workflow_dispatch:
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permissions:
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contents: write
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jobs:
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track-relay-count:
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runs-on: ubuntu-latest
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if: ${{ github.event.workflow_run.conclusion == 'success' || github.event_name == 'workflow_dispatch' }}
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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with:
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fetch-depth: 100 # Need deeper history to check previous commits (70+ days)
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.x'
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- name: Install Python dependencies
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run: |
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python -m pip install --upgrade pip
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# Check if requirements.txt includes matplotlib, pandas, numpy
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if ! grep -q "matplotlib\|pandas\|numpy" requirements.txt; then
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# If not, install them directly
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pip install matplotlib pandas numpy
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else
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# Otherwise use the requirements file
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pip install -r requirements.txt
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fi
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- name: Track relay count changes
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run: |
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mkdir -p assets
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# Execute the script
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python scripts/track_relay_counts.py
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- name: Check for changes
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id: git-check
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run: |
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git add assets/bitchat_relay_count_chart.png assets/total_relay_count_chart.png
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git diff --staged --exit-code || echo "changes=true" >> $GITHUB_OUTPUT
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- name: Commit and push changes
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if: steps.git-check.outputs.changes == 'true'
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run: |
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git config --local user.email "action@github.com"
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git config --local user.name "GitHub Action"
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git commit -m "Update relay count charts - $(date -u)"
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git push
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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+30
@@ -0,0 +1,30 @@
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual Environment
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venv/
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env/
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ENV/
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# IDE files
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.idea/
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.vscode/
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# Project Organization
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This project is organized as follows:
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## Core Files
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- `nostr_relay_discovery.py` - Python script for discovering functioning Nostr relays
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- `filter_bitchat_relays.sh` - Shell script to filter relays for BitChat capability
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- `relays_geo_lookup.sh` - Shell script to geolocate relay servers
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- `nostr_relays.csv` - The main output file with relay URLs and geolocation data
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## Directories
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- `/assets` - Contains generated images and other static resources
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- `relay_count_chart.png` - Chart showing relay count history
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- `/scripts` - Utility scripts for analysis and visualization
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- `track_relay_counts.py` - Script for analyzing relay count changes
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- `/.github/workflows` - GitHub Actions workflow definitions
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- `update-relay-data.yml` - Workflow that updates relay data daily
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- `relay-count-tracker.yml` - Workflow that tracks relay count changes
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## GitHub Workflows
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The project uses two automated workflows:
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1. `update-relay-data.yml` - Runs daily at 6:00 AM UTC to update the relay data
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2. `relay-count-tracker.yml` - Runs after the update workflow to track and visualize changes
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@@ -63,5 +63,23 @@ To change the schedule, seed relay, or enable BitChat filtering in CI, edit the
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---
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---
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## Relay Count History
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These charts show the number of Nostr relay entries in our dataset over time:
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### BitChat-Compatible Relays
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The chart below shows relays that support BitChat events (kind 20000):
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### Total Functioning Relays
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The chart below shows all functioning relays discovered during the relay discovery process:
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The charts are automatically updated daily to reflect changes in the number of relays and show approximately 70 days of history.
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## Attribution
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## Attribution
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`nostr_relays.csv` and `relay_discovery_results.json` use a database curated by DB‑IP, available at https://www.db-ip.com.
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`nostr_relays.csv` and `relay_discovery_results.json` use a database curated by DB‑IP, available at https://www.db-ip.com.
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@@ -0,0 +1,14 @@
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# Georelays Assets
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This directory contains generated assets for the Georelays project:
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## bitchat_relay_count_chart.png
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A chart showing the history of the number of BitChat-compatible relays (supporting kind 20000 events) in the `nostr_relays.csv` file over time.
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## total_relay_count_chart.png
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A chart showing the history of the total number of functioning relays discovered in the `relay_discovery_results.json` file over time.
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These charts are automatically generated by the GitHub workflow after each update to the relay data.
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They track the last 30 changes to the relay lists and plot them on time series graphs.
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Binary file not shown.
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After Width: | Height: | Size: 360 KiB |
Binary file not shown.
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After Width: | Height: | Size: 371 KiB |
@@ -1 +1,4 @@
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websockets>=12.0
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websockets>=12.0
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matplotlib>=3.5.0
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pandas>=1.4.0
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numpy>=1.20.0
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@@ -0,0 +1,25 @@
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# Georelays Scripts
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This directory contains utility scripts for the Georelays project:
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## track_relay_counts.py
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This script analyzes the git history of the `nostr_relays.csv` file to track how the number of relay entries changes over time.
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### Features:
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- Retrieves the last 30 commits that modified the relay CSV file
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- Counts the number of relay entries in each commit
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- Creates a time series chart showing the trend of relay counts
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- Saves the chart as `assets/relay_count_chart.png`
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### Usage:
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```
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python scripts/track_relay_counts.py
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```
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### Dependencies:
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- pandas
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- matplotlib
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- numpy
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This script is automatically run by the GitHub workflow after each update to the relay data.
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Executable
+243
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#!/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 data points annotation
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for i, row in data_frame.iterrows():
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plt.annotate(
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|
f"{row['count']}",
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|
(row['date'], row['count']),
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textcoords="offset points",
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xytext=(0, 10),
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ha='center'
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)
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||||||
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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
|
||||||
|
return len(data_frame), latest_count if not data_frame.empty else 'N/A'
|
||||||
|
|
||||||
|
def main():
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||||||
|
"""
|
||||||
|
Main function to track relay count changes and generate charts.
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||||||
|
"""
|
||||||
|
# Change to the root directory of the project if necessary
|
||||||
|
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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||||||
|
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||||||
|
# Ensure the assets directory exists
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||||||
|
os.makedirs('assets', exist_ok=True)
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||||||
|
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||||||
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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(
|
||||||
|
['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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||||||
|
|
||||||
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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({
|
||||||
|
'date': date,
|
||||||
|
'commit': commit_hash,
|
||||||
|
'count': count
|
||||||
|
})
|
||||||
|
|
||||||
|
# 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
|
||||||
|
date = extract_date_from_commit(commit_hash)
|
||||||
|
count = get_total_relay_count(commit_hash)
|
||||||
|
if date and count > 0: # Only add valid entries
|
||||||
|
total_data.append({
|
||||||
|
'date': date,
|
||||||
|
'commit': commit_hash,
|
||||||
|
'count': count
|
||||||
|
})
|
||||||
|
|
||||||
|
# Create DataFrames and sort by date
|
||||||
|
bitchat_df = pd.DataFrame(bitchat_data).sort_values('date') if bitchat_data else pd.DataFrame()
|
||||||
|
total_df = pd.DataFrame(total_data).sort_values('date') if total_data else pd.DataFrame()
|
||||||
|
|
||||||
|
# Create and save plots
|
||||||
|
bitchat_stats = create_plot(
|
||||||
|
bitchat_df,
|
||||||
|
'BitChat-Compatible Relay Count Over Time',
|
||||||
|
'Number of BitChat Relays',
|
||||||
|
'assets/bitchat_relay_count_chart.png'
|
||||||
|
)
|
||||||
|
|
||||||
|
total_stats = create_plot(
|
||||||
|
total_df,
|
||||||
|
'Total Functioning Relay Count Over Time',
|
||||||
|
'Number of Functioning Relays',
|
||||||
|
'assets/total_relay_count_chart.png'
|
||||||
|
)
|
||||||
|
|
||||||
|
# Print summary for log
|
||||||
|
if bitchat_stats:
|
||||||
|
print(f"Generated BitChat relay chart with {bitchat_stats[0]} data points")
|
||||||
|
print(f"Latest BitChat relay count: {bitchat_stats[1]}")
|
||||||
|
|
||||||
|
if total_stats:
|
||||||
|
print(f"Generated total relay chart with {total_stats[0]} data points")
|
||||||
|
print(f"Latest total relay count: {total_stats[1]}")
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
Reference in New Issue
Block a user