hack-a-chain-software / indexer-kadena

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Kadena Indexer

This project is a monorepo that contains the following packages:

Prerequisites

Dev Container

This project is configured to run in a dev container. You can use the Dev Containers: Open Folder in Container command in VSCode to open the project in a dev container. This will automatically install the required dependencies and set up the environment. To use the dev container, you need to have Docker installed on your machine.

If you don't have Dev Containers installed, you can install it from the VSCode Marketplace.

Configure Environment Variables

Under the /terraform directory, create an .env file using the .env.template as a reference and set the environment variables accordingly.

cp terraform/.env.template terraform/.env

TF_VAR_AWS_ACCESS_KEY_ID is your AWS access key ID. TF_VAR_AWS_SECRET_ACCESS_KEY is your AWS secret access key. TF_VAR_AWS_ACCOUNT_ID is your AWS account ID. TF_VAR_AWS_USER_NAME is the name of the user you created in AWS. TF_VAR_AWS_DB_USERNAME is the username for the postgress database. TF_VAR_AWS_DB_PASSWORD is the password for the postgress database.

Under the /indexer directory, create an .env file using the .env.template as a reference and set the environment variables accordingly.

cp indexer/.env.template indexer/.env

AWS_S3_REGION is the region where the S3 bucket is located. AWS_S3_BUCKET_NAME is the name of the S3 bucket where the data will be stored. AWS_ACCESS_KEY_ID is the access key ID for the S3 bucket. AWS_SECRET_ACCESS_KEY is the secret access key for the S3 bucket.

SYNC_BASE_URL is the base URL for the Kadena node. SYNC_MIN_HEIGHT is the minimum height to start syncing from. SYNC_FETCH_INTERVAL_IN_BLOCKS is the interval in blocks to fetch. SYNC_TIME_BETWEEN_REQUESTS_IN_MS is the time between requests in milliseconds. SYNC_ATTEMPTS_MAX_RETRY is the maximum number of attempts to retry. SYNC_ATTEMPTS_INTERVAL_IN_MS is the interval in milliseconds between attempts. SYNC_NETWORK is the network to sync.

DB_USERNAME is the username for the postgress database. DB_PASSWORD is the password for the postgress database. DB_NAME is the name of the postgress database. DB_HOST is the host for the postgress database. You have the host after the resource creation, so you can check for this information in the AWS console or in terraform output (postgres_db_host).

Initialize Terraform

Initialize your Terraform workspace, which will download the provider and initialize it with the values provided in the terraform.`tfvars`` file.

terraform init

Deploy Infrastructure

Plan and apply the Terraform configuration to provision your AWS resources:

yarn terraform plan
yarn terraform apply

Destroy Infrastructure

If you want to destroy the infrastructure created, you can use the following command:

yarn terraform destroy

Installation

Set up the indexer with the following commands:

yarn && yarn indexer build

Features

Run processing

Continuous process of streaming, headers, payloads and missing blocks from node to s3 bucket and from s3 bucket to database

yarn indexer dev:run

Additional Commands

Running with Docker

sudo docker build -t kadena-indexer:latest .
sudo docker run --env-file ./indexer/.env -p 3000:3000 kadena-indexer:latest

Backfilling Blocks

Scan for and store historical blocks.

yarn indexer dev:backfill

Streaming Blocks

Listen for new blocks and store them in real-time.

yarn indexer dev:streaming

Identifying Missing Blocks

Scan for and store any blocks that were missed.

yarn indexer dev:missing

Processing Headers

Start the header processing from S3 to the database.

yarn indexer dev:headers

Processing Payloads

Start the payload processing from S3 to the database.

yarn indexer dev:payloads

Advanced Usage

Local Workflow Testing

For testing workflows locally, act is required. Install it using Homebrew:

brew install act

Run Terraform Workflow Manually

If you want to run the terraform workflow manually, you can use the following command:

yarn run-terraform-workflow

Run Indexer Workflow Manually

If you want to run the indexer workflow manually, you can use the following command:

yarn run-indexer-workflow