Pipelined_Fraud_detection_System/docker-compose.yml at main · Thebinary110/Pipelined_Fraud_detection_System · GitHub

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version: '2'
services:
  zookeeper:
    image: confluentinc/cp-zookeeper:7.5.0
    hostname: zookeeper
    container_name: zookeeper
    ports:
      - "2181:2181"
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000

  broker:
    image: confluentinc/cp-server:7.5.0
    hostname: broker
    container_name: broker
    depends_on:
      - zookeeper
    ports:
      - "9092:9092"
      - "9101:9101"
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://broker:29092,PLAINTEXT_HOST://localhost:9092
      KAFKA_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
      KAFKA_CONFLUENT_LICENSE_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_CONFLUENT_BALANCER_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
      KAFKA_JMX_PORT: 9101
      KAFKA_JMX_HOSTNAME: localhost
      KAFKA_CONFLUENT_SCHEMA_REGISTRY_URL: http://schema-registry:8081
      CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: broker:29092
      CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
      CONFLUENT_METRICS_ENABLE: 'true'
      CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'

  control-center:
    image: confluentinc/cp-enterprise-control-center:7.5.0
    hostname: control-center
    container_name: control-center
    depends_on:
      - broker
    ports:
      - "9021:9021"
    environment:
      CONTROL_CENTER_BOOTSTRAP_SERVERS: 'broker:29092'
      CONTROL_CENTER_CONNECT_CONNECT-DEFAULT_CLUSTER: 'connect:8083'
      CONTROL_CENTER_KSQL_KSQLDB1_URL: "http://ksqldb-server:8088"
      CONTROL_CENTER_KSQL_KSQLDB1_ADVERTISED_URL: "http://localhost:8088"
      CONTROL_CENTER_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
      CONTROL_CENTER_REPLICATION_FACTOR: 1
      CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
      CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
      CONFLUENT_METRICS_TOPIC_REPLICATION: 1
      PORT: 9021

  producer:
    build:
      context: ./data_producer
      args:
        script: normal_transaction_producer.py
    depends_on:
      - zookeeper
      - broker
    environment:
      - KAFKA_BROKERS=broker:29092
      - KAFKA_TOPIC=raw_transactions

  hacker-producer:
    build:
      context: ./data_producer
      args:
        script: hacker_transaction_producer.py
    depends_on:
      - zookeeper
      - broker
    environment:
      - KAFKA_BROKERS=broker:29092
      - KAFKA_TOPIC=raw_transactions

  spark-master:
    build:
      context: ./data_processor
      dockerfile: Dockerfile.spark  # Use the custom Dockerfile
    container_name: spark-master
    environment:
      - SPARK_MODE=master
      - SPARK_RPC_AUTHENTICATION_ENABLED=no
      - SPARK_RPC_ENCRYPTION_ENABLED=no
      - SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no
      - SPARK_SSL_ENABLED=no
    ports:
      - "8080:8080"  # Spark master web UI
      - "7077:7077"  # Spark master port
    volumes:
      - ./data_processor:/opt/spark-apps  # Mount the directory containing fraud_detector.py

  spark-worker-1:
    build:
      context: ./data_processor
      dockerfile: Dockerfile.spark  # Use the custom Dockerfile
    container_name: spark-worker-1
    environment:
      - SPARK_MODE=worker
      - SPARK_MASTER_URL=spark://spark-master:7077
      - SPARK_WORKER_MEMORY=1G
      - SPARK_WORKER_CORES=1
    depends_on:
      - spark-master
    ports:
      - "8081:8081"  # Spark worker web UI

  spark-worker-2:
    build:
      context: ./data_processor
      dockerfile: Dockerfile.spark  # Use the custom Dockerfile
    container_name: spark-worker-2
    environment:
      - SPARK_MODE=worker
      - SPARK_MASTER_URL=spark://spark-master:7077
      - SPARK_WORKER_MEMORY=1G
      - SPARK_WORKER_CORES=1
    depends_on:
      - spark-master
      - spark-worker-1
      - timescaledb
      - producer
    ports:
      - "8082:8081"  # Spark worker web UI
    volumes:
      - ./data_processor:/opt/spark-apps
    command: ["/bin/bash", "-c", "cd /opt/spark-apps/ && /opt/bitnami/spark/bin/spark-submit --master spark://spark-master:7077 --deploy-mode client --packages org.postgresql:postgresql:42.2.23,org.apache.spark:spark-sql-kafka-0-10_2.12:3.1.2 fraud_detector.py"]

  timescaledb:
    image: timescale/timescaledb:latest-pg14
    environment:
      POSTGRES_DB: fraud_detection
      POSTGRES_USER: user
      POSTGRES_PASSWORD: password
    ports:
      - "5432:5432"
    volumes:
      - ./monitoring/init.sql:/docker-entrypoint-initdb.d/init.sql  # Mount the SQL initialization file
    restart: always

  grafana:
    build:
      context: ./monitoring/grafana-dashboard
      dockerfile: Dockerfile  # Use the custom Dockerfile
    container_name: grafana
    ports:
      - "3000:3000"
    depends_on:
        - timescaledb