Blocklake is a project that aims to unify different data from different sources related to blockchains. Blockchair and DeffiLamma APIs were used as source, which provides block data, transactions, address information, and protocol data (Defi, Yields, DEXs) such as TVL, % yields, and liquidations. The data pipeline architecture was designed and developed entirely on AWS.
Open the functions folder and choose a package to upload to lambda.
$ cd lambda/{package_name}
In order to deploy the example, you need to run the following command:
$ serverless deploy
After running deploy, you should see output similar to:
Deploying aws-python-project to stage dev (us-east-1)
✔ Service deployed to stack aws-python-project-dev (112s)
functions:
hello: aws-python-project-dev-hello (1.5 kB)
You can invoke your function locally by using the following command:
serverless invoke local --function hello
Which should result in response similar to the following:
{
"statusCode": 200,
"body": "{\"message\": \"Go Serverless v3.0! Your function executed successfully!\", \"input\": {}}"
}
In case you would like to include third-party dependencies, you will need to use a plugin called serverless-python-requirements
. You can set it up by running the following command:
serverless plugin install -n serverless-python-requirements
Running the above will automatically add serverless-python-requirements
to plugins
section in your serverless.yml
file and add it as a devDependency
to package.json
file. The package.json
file will be automatically created if it doesn't exist beforehand. Now you will be able to add your dependencies to requirements.txt
file (Pipfile
and pyproject.toml
is also supported but requires additional configuration) and they will be automatically injected to Lambda package during build process. For more details about the plugin's configuration, please refer to official documentation.
Licensed under the Apache License.