Web3 Indexer with Apibara

This repository uses Apibara to index web3 data.

Getting Started

Create a new virtual environment for this project. While this step is not required, it is highly recommended to avoid conflicts between different installed packages.

python3 -m venv venv

Then activate the virtual environment.

source venv/bin/activate

Then install poetry and use it to install the package dependencies.

python3 -m pip install poetry
poetry install

Start MongoDB using the provided docker-compose file:

docker-compose up

Notice that you can use any managed MongoDB like MongoDB Atlas.

Then start the indexer by running the indexer start command. The indexer command runs the cli application defined in src/indexer/main.py. This is a standard Click application.

Notice that by default the indexer will start indexing from where it left off in the previous run. If you want restart, use the --restart flag.

indexer start --restart

Notice that will also delete the database with the indexer's data.

Customizing the template

You can change the id of the indexer by changing the value of the indexer_id variable in src/indexer/indexer.py. This id is also used as the name of the Mongo database where the indexer data is stored.

Running in production

This template includes a Dockerfile that you can use to package the indexer for production usage.