The Eyevinn Player Analytics (EPAS) is an open sourced framework and specification for tracking events from video players. It is a modular framework where you can pick and choose the modules you need. This is the eventsink module that receives the data from the players and push the data on to a processing queue.
To run the eventsink in AWS as a Lambda function and SQS as processing queue:
// your index.js
const { Lambda } = require("@eyevinn/player-analytics-eventsink");
export const handler = Lambda.handler;
To use with SQS add the following environment variables to the Lambda configuration.
QUEUE_TYPE=SQS
SQS_QUEUE_URL=<sqs-url>
The simplest way to run an eventsink locally is to use the fastify service, by running npm run dev
. This will spin up a local server at port 3000 which you can use as eventsink url in your Eyevinn Player Analytics Client SDK project. You may as well specify your environment variables as the standard specifies.
e.g. QUEUE_TYPE=redis npm run dev
will start a fastify
service towards your local redis
as queue.
QUEUE_TYPE = <SQS | beanstalkd | redis>
HEARTBEAT_INTERVAL = <heartbeat-interval>
# AWS (Lambda & SQS) specifics
AWS_REGION = <your-aws-region>
# SQS specifics
SQS_QUEUE_URL = <your-sqs-queue-url>
# Redis specifics
REDIS_HOST = <default localhost>
REDIS_PORT = <default 6379>
REDIS_PASSWORD = <default empty>
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