A collection of bots that can be connected to Check API. They are implemented as AWS Lambda functions.

This bot is at youtube.js. It listens to the create_project_media event and, if it's a YouTube URL, it does the following:

• Extracts thumbnails and runs reverse image search over each of them
• Extracts upload date and creation data
• Extracts geographic information

All those results are sent to Check as annotations.

This bot is at exif.js. It does the following:

• Listens to the create_project_media event. If it's an uploaded image, it extracts EXIF data and posts it to Check as a comment, with a link for the full report.
• Listens to the create_annotation_task_geolocation and update_annotation_task_geolocation. If it's an uploaded image, it extracts GPS data, geocodes it and posts the result as a task response to any unanswered geolocation task.

• Listens to event create_project_media events and looks up similar content in Health Desk articles indexed in Alegre.

See details in ./health-desk-bot/README.md

• Copy config.js.example to config.js and define your configurations
• Run npm install to install the dependencies on your first run or if you change dependencies.
• Run npm run build
• Create an AWS Lambda function with an API gateway and upload the ZIP file from the previous step
• Define the correct handler (e.g., youtube.handler or exif.handler)
• Copy the API gateway URL as the Request URL of the Check API bot

• Copy config.js.example to config.js and define your local configurations with checkApiUrl: http://localhost:3000.
• Start Check locally docker-compose -f docker-compose.yml up bots
• The check-bots container should start server.js on port 8586
• On the Check side, the bot request URL should be set to http://bots:8586/<bot-slug> ('exif', 'youtube' or 'health-desk').