Topcoder - Member Processor

Dependencies

nodejs https://nodejs.org/en/ (v8+)
Kafka
ElasticSearch v6
Docker, Docker Compose

Configuration

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

DISABLE_LOGGING: whether to disable loggin
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
CREATE_PROFILE_TOPIC: create profile Kafka topic, default value is 'member.action.profile.create'
UPDATE_PROFILE_TOPIC: update profile Kafka topic, default value is 'member.action.profile.update'
DELETE_PROFILE_TOPIC: delete profile Kafka topic, default value is 'member.action.profile.delete'
CREATE_TRAIT_TOPIC: create trait Kafka topic, default value is 'member.action.profile.trait.create'
UPDATE_TRAIT_TOPIC: update trait Kafka topic, default value is 'member.action.profile.trait.update'
DELETE_TRAIT_TOPIC: delete trait Kafka topic, default value is 'member.action.profile.trait.delete'
CREATE_PHOTO_TOPIC: create photo Kafka topic, default value is 'member.action.profile.photo.create'
UPDATE_PHOTO_TOPIC: update photo Kafka topic, default value is 'member.action.profile.photo.update'
esConfig: ElasticSearch config

Refer to esConfig variable in config/default.js for ES related configuration. Usually, you need to configure the ES_HOST environment variable according to setup ES, e.g. export ES_HOST=localhost:9200

Also note that 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

Local Kafka setup

http://kafka.apache.org/quickstart contains details to setup and manage Kafka server, below provides details to setup Kafka server in Mac, Windows will use bat commands in bin/windows instead
download kafka at https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.11-1.1.0.tgz
extract out the downloaded tgz file
go to extracted directory kafka_2.11-0.11.0.1
start ZooKeeper server: bin/zookeeper-server-start.sh config/zookeeper.properties
use another terminal, go to same directory, start the Kafka server: bin/kafka-server-start.sh config/server.properties
note that the zookeeper server is at localhost:2181, and Kafka server is at localhost:9092
use another terminal, go to same directory, create some topics: bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic member.action.profile.create bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic member.action.profile.update bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic member.action.profile.delete bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic member.action.profile.trait.create bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic member.action.profile.trait.update bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic member.action.profile.trait.delete bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic member.action.profile.photo.create bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic member.action.profile.photo.update
verify that the topics are created: bin/kafka-topics.sh --list --zookeeper localhost:2181, it should list out the created topics
run the producer and then write some message into the console to send to the member.action.profile.create topic: bin/kafka-console-producer.sh --broker-list localhost:9092 --topic member.action.profile.create in the console, write message, one message per line: { "topic": "member.action.profile.create", "originator": "member-api", "timestamp": "2018-02-16T00:00:00", "mime-type": "application/json", "payload": { "userId": 1111, "userHandle": "handle", "email": "email@test.com", "sex": "male", "created": "2018-01-02T00:00:00", "createdBy": "admin" } }
optionally, use another terminal, go to same directory, start a consumer to view the messages: bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic member.action.profile.create --from-beginning
writing/reading messages to/from other topics are similar

ElasticSearch setup

You may download ElasticSearch v6, install and run it locally. Or to setup ES service using AWS. Another simple way is to use docker compose: go to docker-es folder, run docker-compose up

Local deployment

install dependencies npm i
run code lint check npm run lint, running npm run lint-fix can fix some lint errors if any
initialize Elasticsearch, create configured Elasticsearch index if not present: npm run init-es
or to re-create the index: npm run init-es force
run tests npm run test
start processor app npm start

Local Deployment with Docker

To run the Member ES Processor using docker, follow the below steps

Navigate to the directory docker
Rename the file sample.api.env to api.env
Set the required AWS credentials in the file api.env
Once that is done, run the following command

docker-compose up

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

Unit tests and Integration tests

Integration tests may use different index member-test which may not same as the usual index.

Please ensure to create the index member-test or the index specified in the environment variable ES_INDEX_TEST before running the Integration tests. You could re-use the existing scripts to create index but you would need to set the below environment variable

export ES_INDEX=member-test

Running unit tests and coverage

To run unit tests alone

npm run test

To run unit tests with coverage report

npm run cov

Running integration tests and coverage

To run integration tests alone

npm run e2e

To run integration tests with coverage report

npm run cov-e2e

Verification

start kafka server, start elasticsearch, initialize Elasticsearch, start processor app
start kafka-console-producer to write messages to member.action.profile.create topic: bin/kafka-console-producer.sh --broker-list localhost:9092 --topic member.action.profile.create
write message: { "topic": "member.action.profile.create", "originator": "member-api", "timestamp": "2018-02-16T00:00:00", "mime-type": "application/json", "payload": { "userId": 1111, "email": "email@test.com", "sex": "male", "createdAt": "2018-02-16T00:00:00", "createdBy": "admin" } }
run command npm run view-data profile1111 to view the created data, you will see the data are properly created:

info: Elasticsearch data:
info: Elasticsearch data:
info: {
    "userId": 1111,
    "email": "email@test.com",
    "sex": "male",
    "createdAt": "2018-02-16T00:00:00",
    "createdBy": "admin"
}

you may write invalid message like: { "topic": "member.action.profile.create", "originator": "member-api", "timestamp": "2018-02-16T00:00:00", "mime-type": "application/json", "payload": { "user-id": "1111", "userHandle": "handle", "sex": "male", "created": "2018-01-02T00:00:00", "createdBy": "admin" } }
then in the app console, you will see error message
start kafka-console-producer to write messages to member.action.profile.update topic: bin/kafka-console-producer.sh --broker-list localhost:9092 --topic member.action.profile.update
write message: { "topic": "member.action.profile.update", "originator": "member-api", "timestamp": "2018-03-02T00:00:00", "mime-type": "application/json", "payload": { "userId": 1111, "email": "updated@test.com", "sex": "male", "createdAt": "2018-01-02T00:00:00", "createdBy": "admin", "updatedAt": "2018-03-02T00:00:00", "updatedBy": "admin" } }
run command npm run view-data 1111 to view the updated data, you will see the data are properly updated:

info: Elasticsearch data:
info: {
    "userId": 1111,
    "email": "updated@test.com",
    "sex": "male",
    "createdAt": "2018-01-02T00:00:00",
    "createdBy": "admin"
}

start kafka-console-producer to write messages to member.action.profile.delete topic: bin/kafka-console-producer.sh --broker-list localhost:9092 --topic member.action.profile.delete
write message: { "topic": "member.action.profile.delete", "originator": "member-api", "timestamp": "2018-04-16T00:00:00", "mime-type": "application/json", "payload": { "userId": 1111} }
run command npm run view-data 1111 to view the deleted data, you will see the data are properly deleted:

info: The data is not found.

management of other data are similar, below gives valid Kafka messages for other resource types, so that you may test them easily
create trait: {"topic":"member.action.profile.trait.create","mime-type":"application/json","originator":"ap-member-microservices","timestamp":"2018-10-12T11:39:37.360Z","payload":{"userId":132456,"lastName":"Kranitsas","addresses":[{"streetAddr1":"address 1","streetAddr2":"address 2","city":"city","zip":"121212","stateCode":"code","type":"HOME","updatedAt":null,"createdAt":null,"createdBy":null,"updatedBy":null}],"updatedBy":"132456","description":"des","homeCountryCode":null,"handle":"heffan","otherLangName":"NIAL","handleLower":"heffan","emailVerifyTokenDate":null,"tracks":["DATA_SCIENCE","DEVELOP"],"firstName":"Thomas","photoURL":"https://topcoder-prod-media.s3.amazonaws.com/member/profile/heffan-12345.jpeg","createdAt":"2018-10-12T11:07:02.231Z","createdBy":"132456","emailVerifyToken":null,"maxRating":null,"newEmail":null,"competitionCountryCode":"USA","email":"heffanNew@email.com","status":"ACTIVE","updatedAt":"2018-10-12T11:39:37.323Z","traits":[{"traitId":"basic_info","data":[{"shortBio":"There is no great genius without some touch of madness.","gender":"Male","tshirtSize":"L","country":"Greece","primaryInterestInTopcoder":"Copiloting!","birthDate":"1994-04-10T10:10:11.000Z","currentLocation":"test place"}]}]}}
update trait: {"topic":"member.action.profile.trait.update","mime-type":"application/json","originator":"ap-member-microservices","timestamp":"2018-10-12T11:40:24.002Z","payload":{"userId":132456,"lastName":"Kranitsas","addresses":[{"streetAddr1":"address 1","streetAddr2":"address 2","city":"city","zip":"121212","stateCode":"code","type":"HOME","updatedAt":null,"createdAt":null,"createdBy":null,"updatedBy":null}],"updatedBy":"132456","description":"des","homeCountryCode":null,"handle":"heffan","otherLangName":"NIAL update","handleLower":"heffan","emailVerifyTokenDate":null,"tracks":["DATA_SCIENCE","DEVELOP"],"firstName":"Thomas","photoURL":"https://topcoder-prod-media.s3.amazonaws.com/member/profile/heffan-12345.jpeg","createdAt":"2018-10-12T11:07:02.231Z","createdBy":"132456","emailVerifyToken":null,"maxRating":null,"newEmail":null,"competitionCountryCode":"USA","email":"heffanNew@email.com","status":"ACTIVE","updatedAt":"2018-10-12T11:40:23.966Z","traits":[{"traitId":"basic_info","data":[{"shortBio":"There is no great genius without some touch of madness. update............","gender":"Male","tshirtSize":"L","country":"Greece","primaryInterestInTopcoder":"Copiloting!","birthDate":"1994-04-10T10:10:11.000Z","currentLocation":"test place","email":"heffanNew@email.com"}]}]}}
delete trait: { "topic": "{"topic":"member.action.profile.trait.delete","mime-type":"application/json","originator":"ap-member-microservices","timestamp":"2018-10-12T11:41:02.341Z","payload":{"userId":132456,"memberProfileTraitIds":["basic_info"],"updatedAt":"2018-10-12T11:41:02.341Z","updatedBy":"132456"}}
create photo: {"topic":"member.action.profile.photo.create","mime-type":"application/json","originator":"ap-member-microservices","timestamp":"2018-10-12T11:42:10.186Z","payload":{"userId":132456,"photoURL":"https://topcoder-prod-media.s3.amazonaws.com/member/profile/heffan-12345.jpeg","updatedAt":"2018-10-12T11:42:10.173Z","updatedBy":"132456"}}
update photo: {"topic":"member.action.profile.photo.update","mime-type":"application/json","originator":"ap-member-microservices","timestamp":"2018-10-12T11:42:10.186Z","payload":{"userId":132456,"photoURL":"https://topcoder-prod-media.s3.amazonaws.com/member/profile/heffan-12345.jpeg","updatedAt":"2018-10-12T11:42:10.173Z","updatedBy":"132456"}}
to view photo data, run command npm run view-data 1111
to view trait data, run command npm run view-data 1111

Notes

the processor will add resource field (profile/photo/trait) to the message payload to be indexed in ElasticSearch, ('profile' + userId) is used to identify profile, ('profile' + userId + 'photo') is used to identify photo, ('profile' + userId + 'trait' + traitId) is used to identify trait

Name		Name	Last commit message	Last commit date
Latest commit History 81 Commits
.circleci		.circleci
config		config
docker-es		docker-es
docker		docker
src		src
test		test
.dockerignore		.dockerignore
.gitignore		.gitignore
Procfile		Procfile
README.md		README.md
build.sh		build.sh
package-lock.json		package-lock.json
package.json		package.json

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Topcoder - Member Processor

Dependencies

Configuration

Local Kafka setup

ElasticSearch setup

Local deployment

Local Deployment with Docker

Unit tests and Integration tests

Running unit tests and coverage

Running integration tests and coverage

Verification

Notes

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Topcoder - Member Processor

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Configuration

Local Kafka setup

ElasticSearch setup

Local deployment

Local Deployment with Docker

Unit tests and Integration tests

Running unit tests and coverage

Running integration tests and coverage

Verification

Notes

About

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