• Nodejs(v12+)
• Kafka

Configuration for the identity processor is at config/default.js. The following parameters can be set in config files or in env variables:

• LOG_LEVEL: the log level; default value: 'debug'
• KAFKA_URL: comma separated Kafka hosts; default value: 'localhost:9092'
• KAFKA_CLIENT_CERT: Kafka connection certificate, optional; default value is undefined; if not provided, then SSL connection is not used, direct insecure connection is used; if provided, it can be either path to certificate file or certificate content
• KAFKA_CLIENT_CERT_KEY: Kafka connection private key, optional; default value is undefined; if not provided, then SSL connection is not used, direct insecure connection is used; if provided, it can be either path to private key file or private key content
• KAFKA_GROUP_ID: the Kafka group id, default value is 'identity-processor'
• IDENTITY_NOTIFICATION_CREATE: the identity create entity Kafka message topic, default value is 'identity.notification.create'
• AUTH0_URL: The auth0 url
• AUTH0_UBAHN_AUDIENCE: The auth0 audience for accessing ubahn api(s)
• AUTH0_TOPCODER_AUDIENCE: The auth0 audience for accessing topcoder api(s)
• AUTH0_CLIENT_ID: The auth0 client id
• AUTH0_CLIENT_SECRET: The auth0 client secret
• AUTH0_PROXY_SERVER_URL: The auth0 proxy server url
• TOKEN_CACHE_TIME: The token cache time
• SLEEP_TIME: The pause time between two create operations, default value: 1000 ms
• UBAHN_API_URL: The ubahn api url, default value: 'https://api.topcoder-dev.com/v5'
• MEMBERS_API_URL: The topcoder member api url, default value: 'https://api.topcoder-dev.com/v5/members'
• ATTRIBUTE_GROUP_NAME: The attribute group name
• SKILL_PROVIDER_NAME: The skill provider name
• ORGANIZATION_NAME: The organization name

There is a /health endpoint that checks for the health of the app. This sets up an expressjs server and listens on the environment variable PORT. It's not part of the configuration file and needs to be passed as an environment variable

1. Navigate to the directory docker-kafka

2. Run the following command

   docker-compose up -d

1. Make sure that Kafka is running as per instructions above.

2. From the project root directory, run the following command to install the dependencies

   npm install

3. To run linters if required

   npm run lint

   To fix possible lint errors:

   npm run lint:fix

4. Start the processor and health check dropin

   npm start

To run the Processor using docker, follow the below steps

1. Navigate to the directory docker

2. Rename the file sample.api.env to api.env

3. Once that is done, run the following command

   docker-compose up

4. When you are running the application for the first time, It will take some time initially to download the image and install the dependencies

see VERIFICATION.md