SemianiakaVY/elsa-core
1
0
Fork 0
Code Issues Pull requests Actions 1 Packages Projects Releases Wiki Activity
elsa-core/docker/docker-compose-kafka.yml

168 lines
6.4 KiB
YAML
Raw Normal View History

Add Elsa.Kafka Module for Kafka Integration with Message Sending and Receiving Activities (#6108) * Add Kafka module with integration and example setup Introduced the Kafka module providing consumer integration and activities into the project. This includes new classes for consumer handling, configuration, and activities. An example setup using Docker Compose is also added to facilitate development and testing. * Refactor KafkaTransportMessage to inline Timestamp namespace Simplify the namespace usage for the Timestamp type within the KafkaTransportMessage record. This change eliminates the need for a separate using directive for Timestamp, enhancing code readability and maintainability. * Add support for handling Kafka transport messages This commit introduces the capability to handle and trigger workflows based on Kafka transport messages. It adds a new handler, notifications, and updates the message stimulus to include correlating fields. Additionally, the Kafka consumers are now managed more modularly with updated startup tasks and mediator integration. * Enable Kafka integration and fix Kafka options naming Added support for Kafka integration in Elsa.Server.Web by setting up Kafka configurations in appsettings.json and updating Program.cs. Also, renamed `ConsumerConfigs` to `ConsumerDefinitions` in Kafka options for clarity. * Add consumer definition enumeration and dropdown support Introduced `IConsumerDefinitionEnumerator` for managing consumer definitions across providers and implemented in `ConsumerDefinitionEnumerator` class. Enhanced `KafkaFeature` to register these services and updated the `MessageReceived` activity to use a dropdown UI hint for consuming definitions. Improved `StartConsumersTask` by refactoring consumer definition retrieval logic. * Add SendMessage activity and refine Kafka messaging Introduce a new SendMessage activity for Kafka, enabling message publishing to specific topics. Refine KafkaTransportMessage model by removing headers and timestamp fields. Adjust the StimulusSender logic to streamline the bookmark queuing process and fix key-value pairing in dropdown options. Update appsettings for corrected Kafka bootstrap server and topic configurations. * Add producer and topic management support Introduced interfaces and implementations for managing producer and topic definitions along with their respective enumerators and list providers. Updated `SendMessage` activity to include producer selection and refactored consumer definition providers for better consistency. * Refactor Kafka configuration property names Renamed Kafka configuration properties for better consistency and readability across the codebase. Updated property names from `ProducerDefinitions` to `Producers`, `ConsumerDefinitions` to `Consumers`, and `TopicDefinitions` to `Topics`. Added missing input attribute in `SendMessage.cs` and registered additional handlers in `KafkaFeature.cs`. * Add custom serializers for Kafka message handling Introduced `DefaultSerializers` class for custom serialization and deserialization of Kafka messages. Updated `MessageReceived` and `SendMessage` activities to use these custom serializers, and modified `KafkaOptions` to include them. * Fix ExpandoObject serialization method parameter Changed the serialization type from `ExpandoObject` to the actual type of the object to ensure proper serialization. This ensures that derived types are correctly handled during the serialization process. * Add Producer and Consumer workflows for Kafka Introduced two new workflows: `ProducerWorkflow` and `ConsumerWorkflow` for handling Kafka messages. Updated `DefaultSerializers` to use camelCase property naming and modified `appsettings.json` to include `topic-2` and format entries. * Add JSON serialization to log output in ConsumerWorkflow This change enhances the log output by serializing messages to JSON format before writing them. The addition of System.Text.Json ensures that the message content is presented in a structured and standardized format in logs. * Add correlation strategies and update Kafka features Implemented HeaderCorrelationStrategy and NullCorrelationStrategy, and updated KafkaFeature to support customizable correlation strategies. Added correlation ID handling to Kafka transport messages and updated config and handlers accordingly. * Add tenant accessor to ConsumerDefinitionWorkflowContextProvider Integrated ITenantAccessor to the provider to support tenant-specific context loading. Updated the constructor and LoadAsync method to retrieve the tenant information and use it for context-specific operations. * Switch to MySQL and disable Kafka This commit changes the SQL database provider from SQLite to MySQL and disables Kafka use. It also includes necessary adjustments such as adding MySQL handling in configuration and connection setups, updating `docker-compose` to include MySQL services, and referencing MySQL projects in the `.csproj` file. * Add UI property handlers to multiple features This commit introduces various UI property handlers across several features such as Python, JavaScript, CSharp, and Workflow features to enhance user interface property handling. It also updates the property UI handler resolution logic to better manage cases where providers are not available. Furthermore, adjustments were made in the server configuration to switch database providers and enable Kafka. * Refactor property UI handler retrieval logic Modified the logic to fetch property UI handlers by preloading them into a list and then filtering. This change improves readability and potentially performance by reducing repetitive service provider calls. * Incremental work on Kafka workers and predicate evaluation * Merge BookmarkInvoker with BookmarkResumer * Register IWorkerManager * Change lifetime scope of WorkerManager to Singleton * **Introduce topic subscription handling for Kafka workers** Added `IWorkerTopicSubscriber` interface and its implementation for managing topic subscriptions. Enhanced workers to bind triggers and bookmarks dynamically based on existing data. Updated several classes and methods to support topic-based subscriptions and headers. * Refactor trigger matching logic. Extract trigger matching conditions into `IsMatchAsync` method for reuse. This enhances code maintainability and readability by reducing redundancy. The new `GetTopic` helper method isolates the topic retrieval logic. * Add Name property to MassTransitActivityTypeProvider This commit inserts the Name property in the returned object within the MassTransitActivityTypeProvider class. It ensures that the typeName is included, providing a clearer definition of the activity type. * Add handling for deleted bookmarks and refactor bookmark removal Added a new event handler for `BookmarksDeleted` to ensure removed bookmarks are processed correctly. Refactored the bookmark removal logic into a helper method to reduce code duplication and streamline the workflow. * Switch to asynchronous bookmark queue processing Refactored the `TriggerWorkflows` handler to use `IBookmarkQueue` instead of directly invoking the `IBookmarkResumer`. This change aims to improve scalability by queueing bookmark resumption requests, enabling better load distribution and async processing. Added necessary helpers and configuration options to support this functionality. * Remove unused IBookmarkResumer dependency Simplify the constructor by removing the unused IBookmarkResumer dependency. This cleanup reduces potential confusion and improves code maintainability without impacting functionality. * Add support for local message processing Introduced an `IsLocal` property to `MessageReceivedStimulus` for determining if the message event is local to a specific workflow instance. Updated `BookmarkBinding` and related handler methods to utilize `CorrelationId` for local event matching. Removed unused `CorrelatingFields` from `MessageReceived` activity. * Add nullability checks to IWorker retrieval methods Updated `GetWorker` methods to return nullable `IWorker` to handle cases where a worker might not exist. Modified code to include null checks and conditional operations to prevent potential null reference exceptions when accessing worker methods. * Add filtering based on activity type name for triggers and bookmarks This commit introduces filtering for triggers and bookmarks based on the `MessageReceived` activity type name. It also adds an option to mark messages as local in the `SendMessage` activity, where local messages are delivered to the current workflow instance only. These changes help enhance the management and targeted delivery of messages within the workflow framework. * Add new Kafka topics and clean up producers config New topics "topic-3" and "topic-4" were added to the Kafka settings. Unused topic references were removed from the producers configuration to simplify and improve clarity. * Add predicate to KafkaConsumerActivity in ConsumerWorkflow Introduced a predicate to the KafkaConsumerActivity using JavaScript expressions to filter messages based on OrderId. This ensures only relevant messages are processed in the workflow.
2024-11-18 12:42:54 +00:00
---
version: '2'
services:
broker:
image: confluentinc/cp-kafka:7.7.1
hostname: broker
container_name: broker
ports:
- "9092:9092"
- "9101:9101"
environment:
KAFKA_NODE_ID: 1
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: 'CONTROLLER:PLAINTEXT,PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT'
KAFKA_ADVERTISED_LISTENERS: 'PLAINTEXT://broker:29092,PLAINTEXT_HOST://localhost:9092'
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
KAFKA_JMX_PORT: 9101
KAFKA_JMX_HOSTNAME: localhost
KAFKA_PROCESS_ROLES: 'broker,controller'
KAFKA_CONTROLLER_QUORUM_VOTERS: '1@broker:29093'
KAFKA_LISTENERS: 'PLAINTEXT://broker:29092,CONTROLLER://broker:29093,PLAINTEXT_HOST://0.0.0.0:9092'
KAFKA_INTER_BROKER_LISTENER_NAME: 'PLAINTEXT'
KAFKA_CONTROLLER_LISTENER_NAMES: 'CONTROLLER'
KAFKA_LOG_DIRS: '/tmp/kraft-combined-logs'
# Replace CLUSTER_ID with a unique base64 UUID using "bin/kafka-storage.sh random-uuid"
# See https://docs.confluent.io/kafka/operations-tools/kafka-tools.html#kafka-storage-sh
CLUSTER_ID: 'MkU3OEVBNTcwNTJENDM2Qk'
schema-registry:
image: confluentinc/cp-schema-registry:7.7.1
hostname: schema-registry
container_name: schema-registry
depends_on:
- broker
ports:
- "8081:8081"
environment:
SCHEMA_REGISTRY_HOST_NAME: schema-registry
SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: 'broker:29092'
SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081
connect:
image: cnfldemos/cp-server-connect-datagen:0.6.4-7.6.0
hostname: connect
container_name: connect
depends_on:
- broker
- schema-registry
ports:
- "8083:8083"
environment:
CONNECT_BOOTSTRAP_SERVERS: 'broker:29092'
CONNECT_REST_ADVERTISED_HOST_NAME: connect
CONNECT_GROUP_ID: compose-connect-group
CONNECT_CONFIG_STORAGE_TOPIC: docker-connect-configs
CONNECT_CONFIG_STORAGE_REPLICATION_FACTOR: 1
CONNECT_OFFSET_FLUSH_INTERVAL_MS: 10000
CONNECT_OFFSET_STORAGE_TOPIC: docker-connect-offsets
CONNECT_OFFSET_STORAGE_REPLICATION_FACTOR: 1
CONNECT_STATUS_STORAGE_TOPIC: docker-connect-status
CONNECT_STATUS_STORAGE_REPLICATION_FACTOR: 1
CONNECT_KEY_CONVERTER: org.apache.kafka.connect.storage.StringConverter
CONNECT_VALUE_CONVERTER: io.confluent.connect.avro.AvroConverter
CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL: http://schema-registry:8081
# CLASSPATH required due to CC-2422
CLASSPATH: /usr/share/java/monitoring-interceptors/monitoring-interceptors-7.7.1.jar
CONNECT_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
CONNECT_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
CONNECT_PLUGIN_PATH: "/usr/share/java,/usr/share/confluent-hub-components"
CONNECT_LOG4J_LOGGERS: org.apache.zookeeper=ERROR,org.I0Itec.zkclient=ERROR,org.reflections=ERROR
control-center:
image: confluentinc/cp-enterprise-control-center:7.7.1
hostname: control-center
container_name: control-center
depends_on:
- broker
- schema-registry
- connect
- ksqldb-server
ports:
- "9021:9021"
environment:
CONTROL_CENTER_BOOTSTRAP_SERVERS: 'broker:29092'
CONTROL_CENTER_CONNECT_CONNECT-DEFAULT_CLUSTER: 'connect:8083'
CONTROL_CENTER_CONNECT_HEALTHCHECK_ENDPOINT: '/connectors'
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
ksqldb-server:
image: confluentinc/cp-ksqldb-server:7.7.1
hostname: ksqldb-server
container_name: ksqldb-server
depends_on:
- broker
- connect
ports:
- "8088:8088"
environment:
KSQL_CONFIG_DIR: "/etc/ksql"
KSQL_BOOTSTRAP_SERVERS: "broker:29092"
KSQL_HOST_NAME: ksqldb-server
KSQL_LISTENERS: "http://0.0.0.0:8088"
KSQL_CACHE_MAX_BYTES_BUFFERING: 0
KSQL_KSQL_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
KSQL_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
KSQL_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
KSQL_KSQL_CONNECT_URL: "http://connect:8083"
KSQL_KSQL_LOGGING_PROCESSING_TOPIC_REPLICATION_FACTOR: 1
KSQL_KSQL_LOGGING_PROCESSING_TOPIC_AUTO_CREATE: 'true'
KSQL_KSQL_LOGGING_PROCESSING_STREAM_AUTO_CREATE: 'true'
ksqldb-cli:
image: confluentinc/cp-ksqldb-cli:7.7.1
container_name: ksqldb-cli
depends_on:
- broker
- connect
- ksqldb-server
entrypoint: /bin/sh
tty: true
ksql-datagen:
image: confluentinc/ksqldb-examples:7.7.1
hostname: ksql-datagen
container_name: ksql-datagen
depends_on:
- ksqldb-server
- broker
- schema-registry
- connect
command: "bash -c 'echo Waiting for Kafka to be ready... && \
cub kafka-ready -b broker:29092 1 40 && \
echo Waiting for Confluent Schema Registry to be ready... && \
cub sr-ready schema-registry 8081 40 && \
echo Waiting a few seconds for topic creation to finish... && \
sleep 11 && \
tail -f /dev/null'"
environment:
KSQL_CONFIG_DIR: "/etc/ksql"
STREAMS_BOOTSTRAP_SERVERS: broker:29092
STREAMS_SCHEMA_REGISTRY_HOST: schema-registry
STREAMS_SCHEMA_REGISTRY_PORT: 8081
rest-proxy:
image: confluentinc/cp-kafka-rest:7.7.1
depends_on:
- broker
- schema-registry
ports:
- 8082:8082
hostname: rest-proxy
container_name: rest-proxy
environment:
KAFKA_REST_HOST_NAME: rest-proxy
KAFKA_REST_BOOTSTRAP_SERVERS: 'broker:29092'
KAFKA_REST_LISTENERS: "http://0.0.0.0:8082"
KAFKA_REST_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
Reference in a new issue Copy permalink