Peronlabs/Ethereum-Node-Crawler

Full Source Code on Peron Github :

Ethereum Node Crawler

Crawls the network and visualizes collected data. This repository includes backend, API and frontend for Ethereum network crawler.

Backend is based on devp2p tool. It tries to connect to discovered nodes, fetches info about them and creates a database. API software reads raw node database, filters it, caches and serves as API. Frontend is a web application which reads data from the API and visualizes them as a dashboard.

Features:

  • Advanced filtering, allows you to add filters for a customized dashboard

  • Drilldown support, allows you to drill down the data to find interesting trends

  • Network upgrade readiness overview

  • Responsive mobile design

Contribute

Project is still in an early stage, contribution and testing is welcomed. You can run manually each part of the software for development purposes or deploy whole production ready stack with Docker.

Frontend

Development

For local development with debugging, remoting, etc:

  1. Copy .env into .env.local and replace the variables.

  2. And then npm install then npm start

  3. Run tests to make sure the data processing is working good. npm test

Production

To deploy this web app:

  1. Build the production bits by npm install then npm run build the contents will be located in build folder.

  2. Use your favorite web server, in this example we will be using nginx.

  3. The nginx config for that website could be which proxies the api to endpoint /v1:

server {
      server_name crawler.com;
      root /var/www/crawler.com;
      index index.html;

      location /v1 {
              proxy_pass http://localhost:10000;
              proxy_http_version 1.1;
              proxy_set_header Upgrade $http_upgrade;
              proxy_set_header Connection 'upgrade';
              proxy_set_header Host $host;
              proxy_cache_bypass $http_upgrade;
      }

      location / {
              try_files $uri $uri/ /index.html;
      }

      listen 80;
      listen [::]:80;
}

Backend API

The API is using 2 databases. 1 of them is the raw data from the crawler and the other one is the API database. Data will be moved from the crawler DB to the API DB regularly by this binary. Make sure to start the crawler before the API if you intend to run them together during development.

Dependencies

  • golang

  • sqlite3

Development

go run ./ .

Production

  1. Build the assembly into /usr/bin

go build ./ . -o /usr/bin/node-crawler-backend
  1. Make sure database is in /etc/node-crawler-backend/nodetable

  2. Create a systemd service in /etc/systemd/system/node-crawler-backend.service:

    [Unit]
    Description     = eth node crawler api
    Wants           = network-online.target
    After           = network-online.target
    
    [Service]
    User            = node-crawler
    ExecStart       = /usr/bin/node-crawler-backend --crawler-db-path /etc/node-crawler-backend/nodetable --api-db-path /etc/node-crawler-backend/nodes
    Restart         = on-failure
    RestartSec      = 3
    TimeoutSec      = 300
    
    [Install]
    WantedBy    = multi-user.target
  3. Then enable it and start it.

    systemctl enable node-crawler-backend
    systemctl start node-crawler-backend
    systemctl status node-crawler-backend

Crawler

Dependencies

  • golang

  • sqlite3

Country location

Development

cd crawler
go run .

Run crawler using crawl command.

go run . crawl

Production

Build crawler and copy the binary to /usr/bin.

go build -o /usr/bin/

Create a systemd service similarly to above API example. In executed command, override default settings by pointing crawler database to chosen path and setting period to write crawled nodes. If you want to get the country that a Node is in you have to specify the location the geoIP database as well.

No GeoIP

crawler crawl --timeout 10m --table /path/to/database

With GeoIP

crawler crawl --timeout 10m --table /path/to/database --geoipdb GeoLite2-Country.mmdb

Docker setup

Production build of preconfigured software stack can be easily deployed with Docker. To achieve this, clone this repository and access docker directory.

cd docker

Make sure you have Docker and docker-compose tools installed.

docker-compose up

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