Dota Ladder Statistics

A project to create a simple website displaying updated statistics from Dota 2 leaderboards. Here's a running example.

How it works

This is currently a container solution designed to work on Google Cloud Platform. (Don't worry, free tier services are enough to run it).

For the example, in the link above, I built a Docker image and used it on Cloud Run. When the image first runs, it creates the website structure on a Cloud Storage Bucket. Then I set up a scheduler to run its updating service. Finally, I made all the website files available publicly.

Specifically for the Github page, there's a different structure. You may use the files in the Storage Bucket directly, or set up another method to access and display them as I did.

Configuration

This code requires some configuration to work.

Locally

1. Install the required python packages pip install -r requirements.txt
2. Set up your selenium environment. This code uses Firefox and gecko. Refer to selenium docs on how to. If you're using Chrome, you must make a few code changes
3. In the service folder you will find country_iso_scraper.py and leaderboard_scraper.py. The first scrapes Wikipedia for country codes and respective names, the second scrapes the actual leaderboards.
4. service/webpage_builder.py uses the .csv files created by the scripts above to generate .js datasets
5. Running the scripts in aforementioned order should be enough to create all the files required to properly display the website

Using Google Cloud:

1. Create a Storage Bucket for this project
2. Build the Docker image and upload it to GCP
3. Create a Cloud Run service and select this image. Set an environment variable STORAGE_BUCKET = <your-bucket-name>
4. Set up a Scheduler to perform a GET request on the service endpoint /run-service
5. Serve the webpage files that are now available in the bucket you created.

License

This project is available under the MIT license.