Chainlink Python Serverless External Adapter For HCaptcha API

This adaper is intended for verify the token from hcaptcha widget Built using the template - https://github.com/thodges-gh/CL-EA-Python-Template

Install

pipenv install

Test

pipenv run pytest

Run with Docker

Build the image

docker build . -t cl-ea

Run the container

docker run -it -p 8080:8080 cl-ea

Run with Serverless

Create the zip

pipenv lock -r > requirements.txt
pipenv run pip install -r requirements.txt -t ./package
pipenv run python -m zipfile -c cl-ea.zip main.py adapter.py bridge.py ./package/*

Install to AWS Lambda

• In Lambda Functions, create function
• On the Create function page:
  • Give the function a name
  • Use Python 3.7 for the runtime
  • Choose an existing role or create a new one
  • Click Create Function
• Under Function code, select "Upload a .zip file" from the Code entry type drop-down
• Click Upload and select the cl-ea.zip file
• Change the Handler to main.lambda_handler
• Save

To Set Up an API Gateway

An API Gateway is necessary for the function to be called by external services.

• Click Add Trigger
• Select API Gateway in Trigger configuration
• Under API, click Create an API
• Choose REST API
• Select the security for the API
• Click Add
• Click the API Gateway trigger
• Click the name of the trigger (this is a link, a new window opens)
• Click Integration Request
• Uncheck Use Lamba Proxy integration
• Click OK on the two dialogs
• Return to your function
• Remove the API Gateway and Save
• Click Add Trigger and use the same API Gateway
• Select the deployment stage and security
• Click Add

Install to Google Cloud Funcions

• In Functions, create a new function
• Use HTTP for the Trigger
• Optionally check the box to allow unauthenticated invocations
• Choose ZIP upload under Source Code
• Use Python 3.7 for the runtime
• Click Browse and select the cl-ea.zip file
• Select a Storage Bucket to keep the zip in
• Function to execute: gcs_handler
• Click Create