From e38c6adbe006e5305f0e98c256f664b8e8c6ab50 Mon Sep 17 00:00:00 2001 From: Dominik Hanak Date: Thu, 7 Dec 2023 08:07:57 +0100 Subject: [PATCH 01/26] SRVLOGIC-184: Update Getting Started for TP2 Adds new guides and fixes navigation to include them. --- modules/ROOT/nav.adoc | 1 + ...rkflow-service-with-kn-cli-and-vscode.adoc | 120 ++++++++++++++++++ .../create-your-first-workflow-service.adoc | 22 ++-- .../getting-familiar-with-our-tooling.adoc | 8 +- 4 files changed, 136 insertions(+), 15 deletions(-) create mode 100644 modules/serverless-logic/pages/getting-started/create-your-first-workflow-service-with-kn-cli-and-vscode.adoc diff --git a/modules/ROOT/nav.adoc b/modules/ROOT/nav.adoc index 479c766a..a59153f9 100644 --- a/modules/ROOT/nav.adoc +++ b/modules/ROOT/nav.adoc @@ -12,6 +12,7 @@ ** xref:serverless-logic:about.adoc[About OpenShift Serverless Logic] ** User Guides *** Getting Started +**** xref:serverless-logic:getting-started/create-your-first-workflow-service-with-kn-cli-and-vscode.adoc[Creating your first workflow service with KN CLI and VS Code] **** xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] **** xref:serverless-logic:getting-started/cncf-serverless-workflow-specification-support.adoc[CNCF Serverless Workflow specification] **** xref:serverless-logic:getting-started/getting-familiar-with-our-tooling.adoc[Getting familiar with tooling] diff --git a/modules/serverless-logic/pages/getting-started/create-your-first-workflow-service-with-kn-cli-and-vscode.adoc b/modules/serverless-logic/pages/getting-started/create-your-first-workflow-service-with-kn-cli-and-vscode.adoc new file mode 100644 index 00000000..c45f3bf2 --- /dev/null +++ b/modules/serverless-logic/pages/getting-started/create-your-first-workflow-service-with-kn-cli-and-vscode.adoc @@ -0,0 +1,120 @@ += Creating and running workflow projects using KN CLI and Visual Studio Code + +This guide showcases using the Knative Workflow CLI plugin and Visual Studio code to create & run {product_name} projects. + +.Prerequisites +* xref:testing-and-troubleshooting/kn-plugin-workflow-overview.adoc[Knative Workflow CLI] {kn_cli_version} is installed. +* Visual Studio Code with https://marketplace.visualstudio.com/items?itemName=redhat.vscode-extension-serverless-workflow-editor[Red Hat Serverless Workflow Editor] is installed to edit your workflows. + +.Preparing your environment +* Install https://docs.docker.com/engine/install/[Docker] or https://podman.io/docs/installation[Podman]. +* Install https://minikube.sigs.k8s.io/docs/start/[minikube]. +* Install https://kubernetes.io/docs/tasks/tools/[kubectl]. +* Start minikube. Depending on your environment, set `--driver` flag to `podman` or `docker` +[source,bash] +---- +minikube start --cpus 4 --memory 8096 --addons registry --addons metrics-server --insecure-registry "10.0.0.0/24" --insecure-registry "localhost:5000" --driver=docker +---- +* (optional) Install https://k9scli.io/[k9scli.io] +* xref:cloud/operator/install-serverless-operator.adoc[] +* Install https://github.com/kiegroup/kie-tools/releases/tag/0.30.3[KN Workflow CLI] by downloading the correct distribution for your development environment and adding it to the PATH. + +[[proc-creating-app-with-kn-cli]] +== Creating a workflow project with Visual Studio Code and KN CLI + +Use the `create` command with kn workflow to scaffold a new SonataFlow project. + +* Navigate to you development directory and create your project. +[source,bash] +---- +kn workflow create -n my-sonataflow-project +---- +* This will create a folder with name `my-sonataflow-project` and a sample workflow `workflow.sw.json` +[source,bash] +---- +cd ./my-sonataflow-project +---- +* Open the folder in Visual Studo Code and examine the created `workflow.sw.json` using our extension. + +Now you can run the project and execute the workflow. + +[[proc-running-app-with-kn-cli]] +== Running a Workflow project with Visual Studio Code and KN CLI + +Use the `run` command with kn workflow to build and run the {product_name} project in local development mode. + +* Run the project. +[source,bash] +---- +kn workflow run +---- +* The Development UI wil be accesible at `localhost:8080/q/dev` +* You can now work on your project. Any changes will be picked up by the hot reload feature. +* See xref:testing-and-troubleshooting/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-instances-page.adoc[Workflow instances] guide on how to run workflows via Development UI. +* Once you are done developing your project navigate to the terminal that is running the `kn workflow run` command and hit `Ctlr+C` to stop the development environment. + +To deploy the finished project to a local cluster, proceed to the next section. + +[[proc-deploying-app-with-kn-cli]] +== Deploying a workflow project with Visual Studio Code and KN CLI + +Use the `deploy` command with kn workflow to deploy the {product_name} project into your local cluster. + +* Deploy to minikube +[source,bash] +---- +kn workflow deploy +---- +* (Optional) Using k9scli you can examine your deployment. +* In a different bash instance, create a port mapping: +[source,bash] +---- +minikube service hello --namespace default --url +---- +* Use this URL to access your workflow instances using the Developer UI +** /q/dev/org.kie.kogito.kogito-quarkus-serverless-workflow-devui/workflowInstances +* To update the image run the `deploy` again, note that this may take some time. + +* To stop the deployment, use the `undeploy` command: +[source,bash] +---- +kn worklow undeploy +---- +* You can validate your pod is terminating using k9s cli. + +[[proc-testing-application]] +== Testing your workflow application + +To test your workflow application you can use any capable REST client out there. All that is needeed is the URL of your deployed worklow project. + +.Prerequisites +* You have your workflow project deployed using <> and you have the URL where it is deployed handy. + +.Testing your workflow application +* To test your workflow project, access the Swagger UI on `/q/swagger-ui` to examine available endpoints. +* In order to execute the workflow once, run: +[source,bash] +---- +curl -X 'POST' \ + '/hello' \ + -H 'accept: */*' \ + -H 'Content-Type: application/json' \ + -d '{ + "workflowdata": {} +}' +---- +* To examine executed instance you can use the GraphQL UI by navigating to +`/q/graphl-ui`. + + +== Additional resources + +* xref:testing-and-troubleshooting/quarkus-dev-ui-extension/quarkus-dev-ui-overview.adoc[] +* xref:getting-started/getting-familiar-with-our-tooling.adoc[] +* xref:service-orchestration/orchestration-of-openapi-based-services.adoc[] + +include::../../pages/_common-content/report-issue.adoc[] + +ifeval::["{kogito_version_redhat}" != ""] +include::../../pages/_common-content/downstream-project-setup-instructions.adoc[] +endif::[] \ No newline at end of file diff --git a/modules/serverless-logic/pages/getting-started/create-your-first-workflow-service.adoc b/modules/serverless-logic/pages/getting-started/create-your-first-workflow-service.adoc index 1137f1cc..b11f51a6 100644 --- a/modules/serverless-logic/pages/getting-started/create-your-first-workflow-service.adoc +++ b/modules/serverless-logic/pages/getting-started/create-your-first-workflow-service.adoc @@ -1,4 +1,4 @@ -= Creating your first workflow service += Creating a Quarkus Workflow Project As a developer, you can use {product_name} and create a `Hello World` application, which includes the following procedures: @@ -20,11 +20,11 @@ image::getting-started/hello-world-workflow.png[] .Prerequisites * Java {java_min_version} is installed with `JAVA_HOME` configured appropriately. * Apache Maven {maven_min_version} is installed. -* {quarkus_cli_url}[Quarkus CLI] or xref:serverless-logic:tooling/kn-plugin-workflow-overview.adoc[Knative Workflow CLI] {kn_cli_version} is installed. +* {quarkus_cli_url}[Quarkus CLI] or xref:testing-and-troubleshooting/kn-plugin-workflow-overview.adoc[Knative Workflow CLI] {kn_cli_version} is installed. * Visual Studio Code with https://marketplace.visualstudio.com/items?itemName=redhat.java[Red Hat Java Extension] and https://marketplace.visualstudio.com/items?itemName=redhat.vscode-extension-serverless-workflow-editor[Red Hat Serverless Workflow Editor] is installed to edit your workflows. -For more information about the tooling and the required dependencies, see xref:serverless-logic:getting-started/getting-familiar-with-our-tooling.adoc[Getting familiar with {product_name} tooling]. +For more information about the tooling and the required dependencies, see xref:getting-started/getting-familiar-with-our-tooling.adoc[Getting familiar with {product_name} tooling]. ifeval::["{kogito_version_redhat}" != ""] include::../../pages/_common-content/downstream-project-setup-instructions.adoc[] @@ -93,7 +93,7 @@ kn workflow create \ --quarkus-version={quarkus_platform_version} ---- -For more information about Knative workflow CLI, see xref:serverless-logic:tooling/kn-plugin-workflow-overview.adoc[{product_name} plug-in for Knative CLI]. +For more information about Knative workflow CLI, see xref:testing-and-troubleshooting/kn-plugin-workflow-overview.adoc[{product_name} plug-in for Knative CLI]. -- ==== @@ -166,7 +166,7 @@ In the previous example: [NOTE] ==== The workflow definition follows the CNCF Serverless Workflow specification. For more information, see -xref:serverless-logic:getting-started/cncf-serverless-workflow-specification-support.adoc[CNCF Serverless Workflow specification]. +xref:core/cncf-serverless-workflow-specification-support.adoc[CNCF Serverless Workflow specification]. ==== -- @@ -209,7 +209,7 @@ kn workflow build --image dev.local/serverless-workflow-hello-world --verbose ---- The `--verbose` flag is used to display the output of the build command. This flag is optional. -For more information about Knative workflow CLI, see xref:serverless-logic:tooling/kn-plugin-workflow-overview.adoc[{product_name} plug-in for Knative CLI]. +For more information about Knative workflow CLI, see xref:testing-and-troubleshooting/kn-plugin-workflow-overview.adoc[{product_name} plug-in for Knative CLI]. -- ==== @@ -259,9 +259,9 @@ mvn clean quarkus:dev quarkus dev ---- -For more information about Knative workflow CLI, see xref:serverless-logic:tooling/kn-plugin-workflow-overview.adoc[{product_name} plug-in for Knative CLI]. +For more information about Knative workflow CLI, see xref:testing-and-troubleshooting/kn-plugin-workflow-overview.adoc[{product_name} plug-in for Knative CLI]. -Also, to deploy and run your workflow application, see xref:serverless-logic:cloud/quarkus/deploying-on-minikube.adoc[Deploying workflow application on Minikube] +Also, to deploy and run your workflow application, see xref:cloud/quarkus/deploying-on-minikube.adoc[Deploying workflow application on Minikube] -- ==== + @@ -360,11 +360,11 @@ Note that the `mantra` value is updated without restarting the application, beca == Testing your workflow application To test your workflow application, you can follow the instructions in the -xref:serverless-logic:testing-and-troubleshooting/basic-integration-tests-with-restassured.adoc[Testing your workflow application using REST Assured]. +xref:testing-and-troubleshooting/basic-integration-tests-with-restassured.adoc[Testing your workflow application using REST Assured]. == Additional resources -* xref:serverless-logic:getting-started/getting-familiar-with-our-tooling.adoc[Getting familiar with {product_name} tooling] -* xref:serverless-logic:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services] +* xref:getting-started/getting-familiar-with-our-tooling.adoc[Getting familiar with {product_name} tooling] +* xref:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services] include::../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/getting-started/getting-familiar-with-our-tooling.adoc b/modules/serverless-logic/pages/getting-started/getting-familiar-with-our-tooling.adoc index 6269e64d..3044dea3 100644 --- a/modules/serverless-logic/pages/getting-started/getting-familiar-with-our-tooling.adoc +++ b/modules/serverless-logic/pages/getting-started/getting-familiar-with-our-tooling.adoc @@ -9,10 +9,10 @@ The tooling in {product_name} provides the best developer experience for the workflow ecosystem. The following tools are provided that you can use to author your workflow assets: -* xref:serverless-logic:tooling/serverless-workflow-editor/swf-editor-vscode-extension.adoc[*VS Code extension*]: Use the Serverless Workflow editor and edit the link:{spec_website_url}[CNCF Serverless Workflow specification] files in Visual Studio Code. -* xref:serverless-logic:tooling/serverless-workflow-editor/swf-editor-chrome-extension.adoc[*Chrome GitHub extension*]: View and edit the CNCF Serverless Workflow specification files in GitHub. -* xref:serverless-logic:tooling/quarkus-dev-ui-extension/quarkus-dev-ui-overview.adoc[*Kogito Serverless Workflow Tools extension in Quarkus Dev UI*]: View, manage, and start the workflow instances. -* xref:serverless-logic:tooling/kn-plugin-workflow-overview.adoc[*{product_name} plug-in for Knative CLI*]: Set up a local workflow project using the command line. +* xref:tooling/serverless-workflow-editor/swf-editor-vscode-extension.adoc[*VS Code extension*]: Use the Serverless Workflow editor and edit the link:{spec_website_url}[CNCF Serverless Workflow specification] files in Visual Studio Code. +* xref:tooling/serverless-workflow-editor/swf-editor-chrome-extension.adoc[*Chrome GitHub extension*]: View and edit the CNCF Serverless Workflow specification files in GitHub. +* xref:testing-and-troubleshooting/quarkus-dev-ui-extension/quarkus-dev-ui-overview.adoc[*Kogito Serverless Workflow Tools extension in Quarkus Dev UI*]: View, manage, and start the workflow instances. +* xref:testing-and-troubleshooting/kn-plugin-workflow-overview.adoc[*{product_name} plug-in for Knative CLI*]: Set up a local workflow project using the command line. * link:{kubesmarts_url}[*Serverless Logic online tooling*]: Try and run the Serverless Workflow example applications in a web environment. include::../../pages/_common-content/report-issue.adoc[] From 6048648094b4eee06930bb873293332491569412 Mon Sep 17 00:00:00 2001 From: Dominik Hanak Date: Thu, 7 Dec 2023 08:14:19 +0100 Subject: [PATCH 02/26] SRVLOGIC-184: Update Integrations section for TP2 --- .../integrations/custom-functions-knative.adoc | 12 +++++------- .../expose-metrics-to-prometheus.adoc | 18 +++++++++--------- ...serverless-dashboard-with-runtime-data.adoc | 8 ++++---- 3 files changed, 18 insertions(+), 20 deletions(-) diff --git a/modules/serverless-logic/pages/integrations/custom-functions-knative.adoc b/modules/serverless-logic/pages/integrations/custom-functions-knative.adoc index 118ece2d..94cf4012 100644 --- a/modules/serverless-logic/pages/integrations/custom-functions-knative.adoc +++ b/modules/serverless-logic/pages/integrations/custom-functions-knative.adoc @@ -33,6 +33,8 @@ include::../cloud/common/_prerequisites.adoc[] -- +. xref:cloud/quarkus/kubernetes-service-discovery.adoc#ref-enabling-kubernetes-service-discovery[Enable the Service Discovery feature]. + . Discover the name of the Knative service that your workflow will invoke. In a terminal window, run the following command: + -- @@ -64,17 +66,13 @@ Save the Knative service name (`custom-function-knative-service`) to use it in t { "name": "greet", <1> "type": "custom", <2> - "operation": "knative:custom-function-knative-service", <3> - "metadata": { - "path": "/function" <4> - } + "operation": "knative:services.v1.serving.knative.dev/custom-function-knative-service?path=/function", <3> } ---- <1> The name of the {product_name} function <2> Indicates that this function is a custom one -<3> Indicates that your custom function is of type `knative` and it will invoke the `custom-function-knative-service` service. -<4> The resource path you want to access +<3> The coordinates of the service you want to invoke -- @@ -137,4 +135,4 @@ Knative functions support https://github.com/knative/func/blob/main/docs/functio * xref:cloud/quarkus/deploying-on-minikube.adoc[Deploying your Serverless Workflow application on Minikube] * xref:cloud/quarkus/deploying-on-kubernetes.adoc[Deploying your Serverless Workflow application on Kubernetes] -include::../_common-content/report-issue.adoc[] +include::../_common-content/report-issue.adoc[] \ No newline at end of file diff --git a/modules/serverless-logic/pages/integrations/expose-metrics-to-prometheus.adoc b/modules/serverless-logic/pages/integrations/expose-metrics-to-prometheus.adoc index 342af09d..a4d5c35d 100644 --- a/modules/serverless-logic/pages/integrations/expose-metrics-to-prometheus.adoc +++ b/modules/serverless-logic/pages/integrations/expose-metrics-to-prometheus.adoc @@ -1,4 +1,4 @@ -= Exposing workflow base metrics to Prometheus += Exposing Workflow base metrics to Prometheus :compat-mode!: // Metadata: :description: Exposing the workflow base metrics to Prometheus @@ -9,7 +9,7 @@ :grafana_url: https://grafana.com/ :quarkus_micrometer_url: https://quarkus.io/guides/micrometer :openshift_monitoring_url: https://docs.openshift.com/container-platform/4.11/monitoring/enabling-monitoring-for-user-defined-projects.html -:prometheus_operator_url: https://access.redhat.com/documentation/en-us/openshift_container_platform/3.11/html/configuring_clusters/prometheus-cluster-monitoring +:prometheus_operator_url: https://prometheus-operator.dev/ :prometheus_operator_getting_started_guide: https://prometheus.io/docs/prometheus/latest/getting_started/#configure-prometheus-to-monitor-the-sample-targets {product_name} generates metrics that can be consumed by Prometheus and visualized by dashboard tools, such as link:{openshift_micrometer_url}[OpenShift], link:{dashbuilder_url}[Dashbuilder], and link:{grafana_url}[Grafana]. @@ -22,9 +22,9 @@ This document describes how you can enable and expose the generated metrics to P You can enable the metrics in your workflow application. .Prerequisites -* A workflow application is created. +* A workflow application is created. + -For more information about creating a workflow, see xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service]. +For more information about creating a workflow, see xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service]. .Procedure . To add the metrics to your workflow application, add the `org.kie.kogito:kogito-addons-quarkus-monitoring-prometheus` dependency to the `pom.xml` file of your project: @@ -60,12 +60,12 @@ If your workflow server is running on OpenShift, then you can use the server to For more information, see <>. .Procedure -. To consume metrics from OpenShift, enable monitoring for user-defined projects. +. To consume metrics from OpenShift, enable monitoring for user-defined projects. + -- For more information, see link:{openshift_monitoring_url}[Enabling monitoring for user-defined projects] in OpenShift documentation. -When you enable monitoring for user-defined projects, the Prometheus Operator is installed automatically. +When you enable monitoring for user-defined projects, the Prometheus Operator is installed automatically. -- . Create a service monitor as shown in the following configuration: @@ -109,7 +109,7 @@ After that, Prometheus sends request to the `/q/metrics` endpoint for all the se [IMPORTANT] ==== -Consuming metrics from Kubernetes is similar to OpenShift. However, you need to install the Prometheus Operator project manually. +Consuming metrics from Kubernetes is similar to OpenShift. However, you need to install the Prometheus Operator project manually. For more information about installing Prometheus Operator, see link:{prometheus_operator_url}[Prometheus Operator] website. ==== @@ -152,7 +152,7 @@ In {product_name}, you can check the following example metrics: * `kogito_process_instance_completed_total`: Completed workflows * `kogito_process_instance_started_total`: Started workflows * `kogito_process_instance_running_total`: Running workflows -* `kogito_process_instance_duration_seconds_sum`: Workflows total duration +* `kogito_process_instance_duration_seconds_sum`: Workflows total duration [NOTE] ==== @@ -176,4 +176,4 @@ kogito_process_instance_completed_total{app_id="default-process-monitoring-liste Internally, {product_name} uses Quarkus Micrometer extension, which also exposes built-in metrics. You can disable the Micrometer metrics in {product_name}. For more information, see link:{quarkus_micrometer_url}[Quarkus - Micrometer Metrics]. ==== -include::../../pages/_common-content/report-issue.adoc[] +include::../../pages/_common-content/report-issue.adoc[] \ No newline at end of file diff --git a/modules/serverless-logic/pages/integrations/serverless-dashboard-with-runtime-data.adoc b/modules/serverless-logic/pages/integrations/serverless-dashboard-with-runtime-data.adoc index 67d4d376..e0733a24 100644 --- a/modules/serverless-logic/pages/integrations/serverless-dashboard-with-runtime-data.adoc +++ b/modules/serverless-logic/pages/integrations/serverless-dashboard-with-runtime-data.adoc @@ -1,4 +1,4 @@ -= Displaying workflow data in dashboards += Displaying Workflow Data in Dashboards :compat-mode!: // Metadata: @@ -36,7 +36,7 @@ You can build dashboards to monitor the data of your workflows using metrics. .Prerequisites * A workflow application is created. + -For more information about creating a workflow, see xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service]. +For more information about creating a workflow, see xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service]. .Procedure . To enable metrics for your workflows application add `org.kie.kogito:kogito-addons-quarkus-monitoring-prometheus` dependency in `pom.xml` file of your application: @@ -245,7 +245,7 @@ The Data Index service uses GraphQL, so that dashbuilder can connect with the se .Prerequisites * A workflow application is created. + -For more information about creating a workflow, see xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service]. +For more information about creating a workflow, see xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service]. .Procedure . Go to the Data Index GraphQL interface (default to `http://localhost:8180/graphiql`) and test your query. @@ -380,7 +380,7 @@ For more examples of dashboards, see link:{dashbuilder_url}[Dashbuilder] website == Additional resources -xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] +xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] include::../../pages/_common-content/report-issue.adoc[] \ No newline at end of file From b61c4d89e9db4e148edbf8737ee022891fef0646 Mon Sep 17 00:00:00 2001 From: Dominik Hanak Date: Thu, 7 Dec 2023 08:33:24 +0100 Subject: [PATCH 03/26] SRVLOGIC-185: Update Core section to TP2 Fix ordering of sections Add new sections to navigation --- modules/ROOT/nav.adoc | 7 +- ...g-workflow-metainformation-in-runtime.adoc | 1 - ...erless-workflow-specification-support.adoc | 26 ++-- .../pages/core/configuration-properties.adoc | 4 +- .../pages/core/custom-functions-support.adoc | 103 +++++-------- ...efining-an-input-schema-for-workflows.adoc | 40 ++++- .../core/handling-events-on-workflows.adoc | 145 ++++++++++++++++++ .../pages/core/timeouts-support.adoc | 133 ++++++++-------- .../core/understanding-jq-expressions.adoc | 30 ++-- ...understanding-workflow-error-handling.adoc | 4 +- .../pages/core/working-with-callbacks.adoc | 136 ++++++++++++++++ .../pages/core/working-with-parallelism.adoc | 10 +- 12 files changed, 457 insertions(+), 182 deletions(-) delete mode 100644 modules/serverless-logic/pages/core/accessing-workflow-metainformation-in-runtime.adoc rename modules/serverless-logic/pages/{getting-started => core}/cncf-serverless-workflow-specification-support.adoc (84%) create mode 100644 modules/serverless-logic/pages/core/handling-events-on-workflows.adoc create mode 100644 modules/serverless-logic/pages/core/working-with-callbacks.adoc diff --git a/modules/ROOT/nav.adoc b/modules/ROOT/nav.adoc index a59153f9..34572248 100644 --- a/modules/ROOT/nav.adoc +++ b/modules/ROOT/nav.adoc @@ -14,17 +14,18 @@ *** Getting Started **** xref:serverless-logic:getting-started/create-your-first-workflow-service-with-kn-cli-and-vscode.adoc[Creating your first workflow service with KN CLI and VS Code] **** xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] -**** xref:serverless-logic:getting-started/cncf-serverless-workflow-specification-support.adoc[CNCF Serverless Workflow specification] **** xref:serverless-logic:getting-started/getting-familiar-with-our-tooling.adoc[Getting familiar with tooling] *** Core +**** xref:serverless-logic:core/cncf-serverless-workflow-specification-support.adoc[CNCF Serverless Workflow specification] +**** xref:serverless-logic:core/handling-events-on-workflows.adoc[Events] +**** xref:serverless-logic:core/working-with-callbacks.adoc[Callbacks] **** xref:serverless-logic:core/understanding-jq-expressions.adoc[jq expressions] **** xref:serverless-logic:core/understanding-workflow-error-handling.adoc[Error handling] -**** xref:serverless-logic:core/working-with-parallelism.adoc[Parallelism] **** xref:serverless-logic:core/configuration-properties.adoc[Configuration properties] -//**** xref:serverless-logic:core/accessing-workflow-metainformation-in-runtime.adoc[Accessing workflow metainformation in runtime] **** xref:serverless-logic:core/defining-an-input-schema-for-workflows.adoc[Defining an input schema for your workflows] **** xref:serverless-logic:core/custom-functions-support.adoc[Custom functions for your service] **** xref:serverless-logic:core/timeouts-support.adoc[Timeouts] +**** xref:serverless-logic:core/working-with-parallelism.adoc[Parallelism] *** Tooling **** xref:serverless-logic:tooling/serverless-workflow-editor/swf-editor-overview.adoc[Serverless Workflow editor] ***** xref:serverless-logic:tooling/serverless-workflow-editor/swf-editor-vscode-extension.adoc[VS Code extension for Serverless Workflow editor] diff --git a/modules/serverless-logic/pages/core/accessing-workflow-metainformation-in-runtime.adoc b/modules/serverless-logic/pages/core/accessing-workflow-metainformation-in-runtime.adoc deleted file mode 100644 index c756f7c3..00000000 --- a/modules/serverless-logic/pages/core/accessing-workflow-metainformation-in-runtime.adoc +++ /dev/null @@ -1 +0,0 @@ -//= Accessing workflow metainformation in runtime \ No newline at end of file diff --git a/modules/serverless-logic/pages/getting-started/cncf-serverless-workflow-specification-support.adoc b/modules/serverless-logic/pages/core/cncf-serverless-workflow-specification-support.adoc similarity index 84% rename from modules/serverless-logic/pages/getting-started/cncf-serverless-workflow-specification-support.adoc rename to modules/serverless-logic/pages/core/cncf-serverless-workflow-specification-support.adoc index 1ae89f9e..b5565606 100644 --- a/modules/serverless-logic/pages/getting-started/cncf-serverless-workflow-specification-support.adoc +++ b/modules/serverless-logic/pages/core/cncf-serverless-workflow-specification-support.adoc @@ -1,4 +1,4 @@ -= CNCF Serverless Workflow specification += Serverless Workflow Specification :compat-mode!: // Metadata: :description: CNCF Serverless Workflow Specification Support @@ -88,6 +88,8 @@ specification. The link:{spec_doc_url}#parallel-state[Parallel State] of the workflow states feature works in a single thread. This means that a Parallel State does not create one thread per branch, simulating an actual parallel behavior. + If an exclusive property is set to `false`, you should not use the link:{spec_doc_url}#event-state[Event State] of the workflow states feature as the starting state. In case, if it is specified that way, then it will behave as if an exclusive property was set to `true`. + [NOTE] ==== {product_name} does not support the link:{spec_doc_url}#sleep-state[Sleep State] feature. However, this feature will be supported in a future release. @@ -101,7 +103,7 @@ The following table shows all the workflow states that {product_name} supports i | State | Status | Reference | Event -| emoji:full_moon[] +| emoji:last_quarter_moon[] | link:{spec_doc_url}#Event-State[Event State] | Operation @@ -172,15 +174,15 @@ The following table shows the status of the workflow functions that {product_nam | link:{spec_doc_url}#defining-custom-function-types[Defining custom function types] |=== -For additional functions, the Serverless Workflow specification support the `custom` function type, such as `sysout` and `java`. For more information about these custom function types, see xref:serverless-logic:core/custom-functions-support.adoc[Custom functions for your {product_name} service]. +For additional functions, the Serverless Workflow specification support the `custom` function type, such as `sysout` and `java`. For more information about these custom function types, see xref:core/custom-functions-support.adoc[Custom functions for your {product_name} service]. [[events]] == Events {product_name} supports events of the workflow model as defined in the link:{spec_doc_url}#Event-Definition[Serverless Workflow specification definition], except the following: -* `resultEventRef` property in link:{spec_doc_url}#eventref-definition[`EventRefDefinition`] is not implemented and, if specified, this property is ignored. Same functionality can be achieved by using xref:serverless-logic:eventing/working-with-callbacks.adoc[Callback] state. -* link:{spec_doc_url}#correlation-definition[Correlation] has limited support, that evaluates correlation rules matching a single event consumed per time with a workflow instance. The correlation among `N` different events to be consumed and matched with a workflow instance is not supported in {product_name}. For more information about event correlation, see xref:serverless-logic:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}]. +* `resultEventRef` property in link:{spec_doc_url}#eventref-definition[`EventRefDefinition`] is not implemented and, if specified, this property is ignored. The same functionality can be achieved by using xref:core/working-with-callbacks.adoc[Callback] state. +* link:{spec_doc_url}#correlation-definition[Correlation] has limited support, that evaluates correlation rules matching a single event consumed per time with a workflow instance. The correlation among `N` different events to be consumed and matched with a workflow instance is not supported in {product_name}. For more information about event correlation, see xref:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}]. [[workflow_data]] == Serverless Workflow data @@ -219,14 +221,14 @@ For additional functions, the Serverless Workflow specification support the `cus {product_name} supports the error handling feature as described in the link:{spec_doc_url}#workflow-error-handling[Serverless Workflow specification definition]. -For more information about error handling, see xref:serverless-logic:core/understanding-workflow-error-handling.adoc[Error handling in {product_name}]. +For more information about error handling, see xref:core/understanding-workflow-error-handling.adoc[Error handling in {product_name}]. [[retries]] == Retries {product_name} does not support Retries feature, however, it will be implemented in a future release. -Alternatively, you can use xref:serverless-logic:core/understanding-workflow-error-handling.adoc[Error handling in {product_name}]. +Alternatively, you can use xref:core/understanding-workflow-error-handling.adoc[Error handling in {product_name}]. [[timeouts]] == Timeouts @@ -235,14 +237,14 @@ Alternatively, you can use xref:serverless-logic:core/understanding-workflow-err For start event state the `exclusive` property is not supported if set to `false`, therefore the timeout is not supported for the event state when starting a workflow. -For more information about timeouts, see xref:serverless-logic:core/timeouts-support.adoc[Timeouts on events for {product_name}]. +For more information about timeouts, see xref:core/timeouts-support.adoc[Timeouts on events for {product_name}]. [[compensation]] == Compensation {product_name} supports workflow compensation as described in the link:{spec_doc_url}#Workflow-Compensation[Serverless Workflow specification definition]. -For more information about compensations, see xref:serverless-logic:use-cases/orchestration-based-saga-pattern.adoc[Saga orchestration example in {product_name}]. +For more information about compensations, see xref:use-cases/orchestration-based-saga-pattern.adoc[Saga orchestration example in {product_name}]. [[constants]] == Constants @@ -260,11 +262,11 @@ Secrets are associated with the link:{quarkus_config_guide_url}[Quarkus Configur ==== //Guide not available currently (DP1) -//For more information, see xref:serverless-logic:core/accessing-workflow-metainformation-in-runtime.adoc[Accessing Serverless Workflow Metainformation]. +//For more information, see xref:core/accessing-workflow-metainformation-in-runtime.adoc[Accessing Serverless Workflow Metainformation]. == Additional resources -* xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] -* xref:serverless-logic:getting-started/getting-familiar-with-our-tooling.adoc[Getting familiar with {product_name} tooling] +* xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] +* xref:getting-started/getting-familiar-with-our-tooling.adoc[Getting familiar with {product_name} tooling] include::../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/core/configuration-properties.adoc b/modules/serverless-logic/pages/core/configuration-properties.adoc index 98c57884..1c7eebac 100644 --- a/modules/serverless-logic/pages/core/configuration-properties.adoc +++ b/modules/serverless-logic/pages/core/configuration-properties.adoc @@ -5,7 +5,7 @@ :description: Configuration Properties :keywords: kogito, workflow, serverless, configuration, properties -The following table serves as a quick reference for commonly used configuration properties supported in {product_name}. You can define the following properties in the `src/main/resources/application.properties` file of your project. +The following table serves as a quick reference for commonly used configuration properties supported in {product_name}. You can define the following properties in the `src/main/resources/application.properties` file of your project. .Common configuration properties [cols="20%,30%,20%,15%,15%", options="header"] @@ -65,7 +65,7 @@ a|Defines the type of persistence database. The possible values of this property |No |`kogito.addon.messaging.outgoing.defaultName` -|Defines the default name of the outgoing channel. +|Defines the default name of the outgoing channel. |string |`kogito_outgoing_stream` |No diff --git a/modules/serverless-logic/pages/core/custom-functions-support.adoc b/modules/serverless-logic/pages/core/custom-functions-support.adoc index 4b383753..a98a8223 100644 --- a/modules/serverless-logic/pages/core/custom-functions-support.adoc +++ b/modules/serverless-logic/pages/core/custom-functions-support.adoc @@ -162,13 +162,13 @@ If your method returns a primitive type or their corresponding wrapper object (i If your method returns Java collections, it is converted to a JSON array and added to the workflow model with the name `response` (you can change that name using an action data filter). -=== Function accessing contextual data +=== Function accessing Kogito context If you need access to process contextual information (for example, Kogito process instance ID) inside your Java service, you can add a `KogitoProcessContext` parameter as the last one in the method signature. Therefore, if you need to do so, you can update the signature of methods from previous sections. -.Example of a function accessing contextual data +.Example of a function accessing Kogito context [source,java] ---- public class MyInterfaceOrClass { @@ -181,7 +181,7 @@ public JsonNode myMethod(JsonNode workflowData, KogitoProcessContext context ) { } ---- -.Example of a function accessing contextual data +.Example of a function accessing Kogito context [source,java] ---- public class MyInterfaceOrClass { @@ -329,65 +329,42 @@ You can declare a {product_name} custom function using the Knative service name, { "name": "greet", <1> "type": "custom", <2> - "operation": "knative:custom-function-knative-service" <3> + "operation": "knative:services.v1.serving.knative.dev/custom-function-knative-service?path=/plainJsonFunction", <3> } ] ---- <1> `greet` is the function name <2> `custom` is the function type -<3> `knative:custom-function-knative-service` is the custom operation definition. In this definition, `knative` is the reserved keyword followed by the `custom-function-knative-service` Knative service. +<3> In `operation` you set the coordinates of the Knative service -The above function will send a `POST` request to the http://custom-function-knative-service.default.10.109.169.193.sslip.io URL. +The above function will send a `POST` request to the http://custom-function-knative-service.default.10.109.169.193.sslip.io/plainJsonFunction URL. If you don't specify a path, {product_name} will use the root path (/). [NOTE] ==== -`GET` requests are not yet supported. +You can also send `GET` requests by setting `method=GET` in `operation`. In this case, the arguments are forwarded over a query string. ==== -[[about-namespaces]] -==== About namespaces - -Note that in the above example, you declared only the name of the service you wanted to call, but not a namespace. In this case, {product_name} will look for a Knative service in the same namespace the workflow service is running. - -In case you need to call a Knative service in a different namespace, you can declare the function as: - +.Example of a `GET` request [source,json] ---- "functions": [ { "name": "greet", "type": "custom", - "operation": "knative:my_different_namespace/custom-function-knative-service" + "operation": "knative:services.v1.serving.knative.dev/custom-function-knative-service?path=/plainJsonFunction&method=GET", <1> } ] ---- -In the above example, {product_name} will look for the `custom-function-knative-service` in the `my_different_namespace` namespace. - -=== Function metadata - -==== HTTP resource path - -You can specify the HTTP resource path by adding the `path` property to the function's metadata. +<1> `GET` request -For instance, given the `/path/to/my/resource` HTTP resource path, you can define your function as: +[[about-namespaces]] +==== About namespaces -[source,json] ----- - "functions": [ - { - "name": "greet", - "type": "custom", - "operation": "knative:custom-function-knative-service", - "metadata": { - "path": "/path/to/my/resource" - } - } - ] ----- +Note that in the above example, you declared only the name of the service you wanted to call, but not a namespace. In this case, {product_name} will look for a Knative service in the same namespace the workflow service is running. -In case you don't specify any path, the root path will be used. For instance, the following function: +In case you need to call a Knative service in a different namespace, you can declare the function as: [source,json] ---- @@ -395,26 +372,12 @@ In case you don't specify any path, the root path will be used. For instance, th { "name": "greet", "type": "custom", - "operation": "knative:custom-function-knative-service" + "operation": "knative:services.v1.serving.knative.dev/my_different_namespace/custom-function-knative-service?path=/plainJsonFunction" } ] ---- -Is exactly the same as: - -[source,json] ----- - "functions": [ - { - "name": "greet", - "type": "custom", - "operation": "knative:custom-function-knative-service", - "metadata": { - "path": "/" - } - } - ] ----- +In the above example, {product_name} will look for the `custom-function-knative-service` in the `my_different_namespace` namespace. === Function arguments @@ -470,11 +433,7 @@ To tell {product_name} you want to send the payload as a CloudEvent, you must de { "name": "greet", "type": "custom", - "operation": "knative:custom-function-knative-service", - "metadata": { - "path": "/", - "asCloudEvent": true <1> - } + "operation": "knative:services.v1.serving.knative.dev/custom-function-knative-service?path=/plainJsonFunction&asCloudEvent=true" <1> } ] ---- @@ -537,20 +496,38 @@ You must declare a `functionRef` like the following: (Do not forget to set `asCl [NOTE] ==== -{product_name} generates a CloudEvent ID based on the `source` and the workflow instance ID. In case an ID is set, {product_name} will ignore it and use a generated one. +{product_name} generates a CloudEvent ID based on the `source` and the workflow instance ID. In case you decide to set an ID, {product_name} will use it and you must ensure it's unique. Refer to the following example on how to set a CloudEvent ID: ==== +.Setting a CloudEvent ID +[source,json] +---- +"arguments": { + "specversion" : "1.0", + "id": "a_unique_id_42", <1> + "type" : "com.github.pull_request.opened", + "source" : "https://github.com/cloudevents/spec/pull", + "subject" : "123", + "time" : "2018-04-05T17:31:00Z", + "comexampleextension1" : "value", + "comexampleothervalue" : 5, + "datacontenttype" : "text/xml", + "data" : "" +} +---- +<1> The CloudEvent ID. + === Configurations ==== Request timeout -By default, the Knative service must respond within 10 seconds. You can use the `kogito.addon.knative-serving.request-timeout` property to configure this value. +By default, the Knative service must respond within 10 seconds. You can use the `kogito.sw.functions..timeout` property to configure this value. For instance, if you want to reduce the request timeout to 5 seconds, you must add the following to your `application.properties` file: [source,properties] ---- -kogito.addon.knative-serving.request-timeout=5000 <1> +kogito.sw.functions.greet.timeout=5000 <1> ---- <1> Time in milliseconds @@ -574,7 +551,7 @@ It must contain a Java class that inherits from `WorkItemTypeHandler`. Its respo + The runtime project consists of a `WorkflowWorkItemHandler` implementation, which name must match with the one provided to `WorkItemNodeFactory` during the deployment phase, and a `WorkItemHandlerConfig` bean that registers that handler with that name. + -When a Serverless Workflow function is called, {product_name} identifies the proper `WorkflowWorkItemHandler` instance to be used for that function type (using the handler name associated with that type by the deployment project) and then invokes the `internalExecute` method. The `Map` parameter contains the function arguments defined in the workflow, and the `WorkItem` parameter contains the metadata information added to the handler by the deployment project. Hence, the `executeWorkItem` implementation has an access to all the information needed to perform the computational logic intended for that custom type. +When a Serverless Workflow function is called, Kogito identifies the proper `WorkflowWorkItemHandler` instance to be used for that function type (using the handler name associated with that type by the deployment project) and then invokes the `internalExecute` method. The `Map` parameter contains the function arguments defined in the workflow, and the `WorkItem` parameter contains the metadata information added to the handler by the deployment project. Hence, the `executeWorkItem` implementation has an access to all the information needed to perform the computational logic intended for that custom type. === Custom function type example @@ -695,7 +672,7 @@ void init () { == Additional resources -* xref:getting-started/cncf-serverless-workflow-specification-support.adoc[CNCF Serverless Workflow specification] +* xref:core/cncf-serverless-workflow-specification-support.adoc[CNCF Serverless Workflow specification] * xref:core/understanding-jq-expressions.adoc[jq expressions in {product_name}] include::../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/core/defining-an-input-schema-for-workflows.adoc b/modules/serverless-logic/pages/core/defining-an-input-schema-for-workflows.adoc index acbdaef5..b2bca86a 100644 --- a/modules/serverless-logic/pages/core/defining-an-input-schema-for-workflows.adoc +++ b/modules/serverless-logic/pages/core/defining-an-input-schema-for-workflows.adoc @@ -1,9 +1,11 @@ -= Input schema definition for {product_name} += Input and Output schema definition for {product_name} :compat-mode!: // Metadata: :description: Defining input schema for Serverless Workflow :keywords: kogito, workflow, serverless, dataInputSchema +== Input schema + The `dataInputSchema` in the link:{spec_doc_url}#workflow-definition-structure[Serverless Workflow specification] is a parameter used in the workflow definition. The `dataInputSchema` parameter validates the workflow data input against a defined JSON Schema. It is important to provide `dataInputSchema`, as it is used to verify if the provided workflow data input is correct before any workflow states are executed. You can define a `dataInputSchema` as follows: @@ -17,11 +19,37 @@ You can define a `dataInputSchema` as follows: } ---- -In the previous definition, the `schema` property is a URI, which holds the path to the JSON schema used to validate the workflow data input. The URI can be a classpath URI, a file, or an HTTP URL. If a classpath URI is specified, then the JSON schema file must be placed in the resources section of the project. +In the previous definition, the `schema` property is a URI, which holds the path to the JSON schema used to validate the workflow data input. The URI can be a classpath URI, a file, or an HTTP URL. If a classpath URI is specified, then the JSON schema file must be placed in the resources section of the project or any other directory included in the classpath. + +`failOnValidationErrors` is an optional flag that indicates the behavior adopted when the input data does not match the specified JSON schema. If not specified or set to true, an exception will be thrown and flow execution will fail. If set to false, the flow will be executed and a log of level WARN with the validation errors will be printed. + +== Output schema + +Serverless Workflow specification does not support JSON output schema until version 0.9. Therefore {product_name} is implementing it as a link:{spec_doc_url}#extensions[Serverless Workflow specification extension]. Output schema is applied after workflow execution to verify that the output model has the expected format. It is also useful for Swagger generation purposes. + +Similar to Input schema, you must specify the URL to the JSON schema, using `outputSchema` as follows: + +.`outputSchema` definition +[source,json] +---- +"extensions" : [ { + "extensionid": "workflow-output-schema", + "outputSchema": { + "schema" : "URL_to_json_schema", + "failOnValidationErrors": false + } + ] +---- + +The same rules described for `dataInputSchema` apply for `schema` and `failOnValidationErrors`. The difference is that the latter flag is applied after workflow execution. + +== Example with `dataInputSchema` and `outputSchema` + +You can see the link:{kogito_sw_examples_url}/serverless-workflow-expression-quarkus[serverless-workflow-expression-quarkus] example application of a workflow definition with `dataInputSchema` and `outputSchema`. -You can see the link:{kogito_sw_examples_url}/serverless-workflow-expression-quarkus[`serverless-workflow-expression-quarkus`] example application of a workflow definition with `dataInputSchema`. See the link:{kogito_sw_examples_url}/serverless-workflow-expression-quarkus/src/main/resources/expression.sw.json[Serverless Workflow JSON file] for more details. +== Swagger documentation -When a workflow definition contains a `dataInputSchema` attribute, the workflow application generates an OpenAPI file, such as `http://localhost/q/openapi`. The generated OpenAPI file references the schema file, which helps in defining the input data for the workflows. For more information about the OpenAPI file, see link:{open_api_spec_url}[OpenAPI specification]. +When a workflow definition contains a `dataInputSchema` and/or `outputSchema` attribute, the workflow application generates an OpenAPI file, such as `http://localhost:8080/q/openapi`. The generated OpenAPI file references the schema file, which helps in defining the input and checking the output data for the workflows. For more information about the OpenAPI file, see link:{open_api_spec_url}[OpenAPI specification]. If you want to generate an OpenAPI file for a workflow, then you must add the link:{quarkus_swagger_url}#expose-openapi-specifications[Quarkus dependency] in the project. @@ -42,7 +70,7 @@ components: == Additional resources -* xref:serverless-logic:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services] -* xref:serverless-logic:service-orchestration/configuring-openapi-services-endpoints.adoc[Configuring the OpenAPI services endpoints] +* xref:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services] +* xref:service-orchestration/configuring-openapi-services-endpoints.adoc[Configuring the OpenAPI services endpoints] include::../../pages/_common-content/report-issue.adoc[] \ No newline at end of file diff --git a/modules/serverless-logic/pages/core/handling-events-on-workflows.adoc b/modules/serverless-logic/pages/core/handling-events-on-workflows.adoc new file mode 100644 index 00000000..336058ee --- /dev/null +++ b/modules/serverless-logic/pages/core/handling-events-on-workflows.adoc @@ -0,0 +1,145 @@ += Events in {product_name} + +:compat-mode!: +// Metadata: +:description: Handling events on workflows +:keywords: kogito, workflow, serverless, event + +This document describes link:{spec_doc_url}#Event-State[event state] in a workflow. You can use the event state to start a new workflow instance upon the reception of a designated link:{cloud_events_url}[CloudEvent] or to pause the execution of an existing workflow instance until a designated CloudEvent is received. + +[[ref-example-event-match]] +== Example of event match + +An event state consists of one or more link:{spec_doc_url}#event-definition[event definitions]. Event definitions are combined to designate the CloudEvent types that the event state listens to. + +In an event definition, the `onEvents` property is used to group the CloudEvent types that might trigger the same set of `actions`. The `exclusive` property in an event definition indicates how an event match is calculated. In case the value of `exclusive` property is `false`, then all CloudEvent types in the `eventRefs` array must be received for a match to occur. Otherwise, the reception of the referenced CloudEvent types is considered a match. + +The following is an example of event definitions, consisting of two CloudEvent types including `noisy` and `silent`: + +.Example event definitions +[source, json] +---- +"events": [ + { + "name": "noisyEvent", + "source": "", + "type": "noisy", + "dataOnly" : "false" + }, + { + "name": "silentEvent", + "source": "", + "type": "silent" + } + ] +---- + +To indicate that an event match occurs when both `noisy` and `silent` CloudEvent types are received and to execute different actions for both CloudEvent types, define an event state containing both event definitions in separate `onEvent` items and set `exclusive` property to `false`. + +.Example event state defintion with multiple `onEvent` items +[source, json] +---- + { + "name": "waitForEvent", + "type": "event", + "onEvents": [ + { + "eventRefs": [ + "noisyEvent" + ], + "actions": [ + { + "functionRef": "letsGetLoud" + } + ] + }, + { + "eventRefs": [ + "silentEvent" + ], + "actions": [ + { + "functionRef": "beQuiet" + } + ] + } + ] + , + "exclusive": false + } +---- + +To execute the same action when both event types are received, use only one `onEvent` item as shown in the following example: + +.Example event state definition with single `onEvent` item +[source, json] +---- + { + "name": "waitForEvent", + "type": "event", + "onEvents": [ + { + "eventRefs": [ + "noisyEvent", + "silentEvent" + ], + "actions": [ + { + "functionRef": "notCareAboutNoise" + } + ] + } + ] + , + "exclusive": false + } +---- + +If you want the same action to be executed when any of the event types is received, set the `exclusive` property to `true` as shown in the following example: + +.Example event state definition executing same action +[source, json] +---- + { + "name": "waitForEvent", + "type": "event", + "onEvents": [ + { + "eventRefs": [ + "noisyEvent", + "silentEvent" + ], + "actions": [ + { + "functionRef": "notCareAboutNoise" + } + ] + } + ] + ,"exclusive": true + } +---- + +You can also remove the `exclusive` property, as `true` is the default value. + +To start a new workflow instance, set the `start` property to the event state name in the workflow header. The workflow instance starts when there is an event match. Using the previous example of event state definition, add the following code in the workflow header: + +.Start a workflow instance +[source,json] +---- +"start":"waitForEvent" +---- + +An event state can also be used to pause an existing workflow instance. When the workflow execution reaches an event state, which is not starting, then the execution is paused until there is an event match for that workflow instance. + +Similar to the callback state in a workflow, the workflow instance to be resumed is identified by `kogitoprocrefid` CloudEvent attribute or calculated according to the xref:eventing/event-correlation-with-workflows.adoc[event correlation] functionality. While callback state is used for _fire&wait_ scenarios, event state covers _wait&fire_ scenarios. For more information about the callback state, see xref:core/working-with-callbacks.adoc[Callback state in {product_name}]. + +== Additional resources + +* xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] +* xref:eventing/consume-producing-events-with-kafka.adoc[Consuming and producing events using Apache Kafka] +* xref:eventing/consume-produce-events-with-knative-eventing.adoc[Consuming and producing events on Knative Eventing] + +include::../../pages/_common-content/report-issue.adoc[] + + \ No newline at end of file diff --git a/modules/serverless-logic/pages/core/timeouts-support.adoc b/modules/serverless-logic/pages/core/timeouts-support.adoc index 752cedb0..9761574c 100644 --- a/modules/serverless-logic/pages/core/timeouts-support.adoc +++ b/modules/serverless-logic/pages/core/timeouts-support.adoc @@ -3,53 +3,56 @@ // Metadata: :description: Using timeouts in {product_name} :keywords: kogito, workflow, serverless, timeout, timer, expiration -// links -:jobs_service_image_url: https://quay.io/repository/kiegroup/kogito-jobs-service-allinone -:jobs_service_image_usage_url: https://github.com/kiegroup/kogito-images#jobs-services-all-in-one +The Serverless Workflow specification defines several link:{spec_doc_url}#workflow-timeouts[timeouts configurations] that you can use to configure maximum times for the workflow execution in different scenarios. +For example, you can configure how long a workflow can wait for an event to arrive when it is in a given state, etc. Currently, {product_name} supports only the link:{spec_doc_url}#workflow-timeout-definition[workflow execution timeout] and link:{spec_doc_url}#event-timeout-definition[event timeouts]. -Serverless Workflow specification defines a wide amount of possible link:{spec_doc_url}#workflow-timeout-definition[timeout configurations]. -Among them, {product_name} currently supports workflow and event timeouts. - -Regardless of its application scope (workflow or state), you can not define the timeouts as a specific point in time, but they should be an amount of time, a duration, which is considered to start when the referred scope becomes active. Timeouts use the link:https://en.wikipedia.org/wiki/ISO_8601[`ISO 8601` data and time standard] to specify a duration of time. -It follows the format `PnDTnHnMn.nS` with days considered to be exactly 24 hours. +Regardless of its application scope (workflow or state), the timeouts must be configured as an amount of time (a duration), which is considered to start when the referred scope becomes active. Timeouts use the link:https://en.wikipedia.org/wiki/ISO_8601[`ISO 8601` data and time standard] to specify a duration of time and follow the format `PnDTnHnMn.nS` with days considered to be exactly 24 hours. For instance, `PT15M` configures 15 minutes, and `P2DT3H4M` defines 2 days, 3 hours and 4 minutes. -== Workflow timeout - -You can set up the maximum amount of time a workflow might be running before being canceled. This is configured in the header section of the flow, by using the link:{spec_doc_url}#workflowexectimeout-definition[WorkflowExecTimeout definition]. Only the `duration` property is currently implemented. -Once canceled, the workflow is considered to be finished and will not be accessible through a GET request anymore. So it behaves as if the interrupt was `true` by default. +[#workflow-timeout] +== Workflow timeout +To configure the maximum amount of time a workflow can be running before being canceled, you can use the workflow timeout. +This is configured in the header section of the workflow, by using the link:{spec_doc_url}#workflowexectimeout-definition[WorkflowExecTimeout definition]. Only the `duration` property is currently implemented. +Once canceled, the workflow is considered to be finished, and will not be accessible through a GET request anymore. So it behaves as if the interrupt was `true` by default. -For example, in order to cancel the workflow after an hour of execution, you might add the following snippet. +For example, to cancel the workflow after an hour of execution, you must use the following configuration. .Example of workflow timeout [source,json] -[source,json] ---- -"timeouts": { +{ + "id": "workflow_timeouts", + "version": "1.0", + "name": "Workflow Timeouts", + "description": "Simple workflow to show the workflowExecTimeout working", + "start": "PrintStartMessage", + "timeouts": { "workflowExecTimeout": "PT1H" + } ... } ---- == Event timeout -When you define a state in a serverless workflow, you can use the `timeouts` property to configure the maximum time to complete this state. +When you define a state in a workflow, you can use the `timeouts` property to configure the maximum time to complete this state. When that time is overdue, the state is considered timed-out, and the engine continues the execution from this state. The execution flow depends on the state type, for instance, -a transition to a next state. -All the properties you can use to configure state timeouts are described in the link:{spec_doc_url}#event-timeout-definition[Serverless Workflow specification]. +a transition to a next state might be executed. +All the properties that you can use to configure state timeouts are described in the link:{spec_doc_url}#states-timeout-definition[Serverless Workflow specification]. Event-based states can use the sub-property `eventTimeout` to configure the maximum time to wait for an event to arrive. +This is the only property that is supported in current implementation. - +[#callback-state-timeout] === Callback state timeout -Callback state can be used when you need to execute an action, in general to call an external service, and wait for an asynchronous response in form of an event, the callback. +The Callback state can be used when you need to execute an action, in general to call an external service, and wait for an asynchronous response in form of an event, the callback. -Once the response event is consumed, the workflow continues the execution, in general moving to the next state defined in the `transition` property. See more on xref:eventing/working-with-callbacks.adoc[Callback state in {product_name}]. +Once the response event is consumed, the workflow continues the execution, in general moving to the next state defined in the `transition` property. See more on xref:core/working-with-callbacks.adoc[Callback state in {product_name}]. -Since the callback state halts the execution util the event is consumed, you can define an `eventTimeout` for it, and in case the event does not arrive in the defined duration time, the workflow continues the execution moving to the next state defined in the transition, see the <>. +Since the Callback state halts the execution until the event is consumed, you can configure an `eventTimeout` for it, and in case the event does not arrive in the configured time duration, the workflow continues the execution moving to the next state defined in the transition, see the <>. [#callback-state] -.Example of callback state with timeout +.Example of Callback state with timeout [source,json] ---- { @@ -78,17 +81,20 @@ Since the callback state halts the execution util the event is consumed, you can } ---- +[#switch-state-timeout] === Switch state timeout +The Switch state can be used when you need to take an action depending on certain conditions, these conditions can be based on the workflow data, link:{spec_doc_url}#Switch-state-Data-Conditions[dataConditions], or on events, link:{spec_doc_url}#Switch-State-Event-Conditions[eventConditions]. -The switch state can be used when you need to take an action based on conditions, defined with the link:{spec_doc_url}#switch-state-event-conditions[eventConditions] property, where the workflow execution waits to make a decision depending on the events to be consumed and matched, defined through link:{spec_doc_url}#event-definition[event definition]. +When you use the link:{spec_doc_url}#Switch-State-Event-Conditions[eventConditions], the workflow execution waits to make a decision until any of the configured events arrives and matches a condition. +In this situation, you can configure an event timeout, that controls the maximum time to wait for an event to match the conditions. -In this situation, you can define an event timeout, that controls the maximum time to wait for an event to match the conditions, if this time is expired, the workflow moves to the state defined in the `defaultCondition` property of the switch state, as you can see in the <>. +If this time expires, the workflow moves to the state defined in the `defaultCondition` property of the Switch state, as you can see in the <>. -See more details about this state on the link:{spec_doc_url}#switch-date[Serverless Workflow specification]. +See more details about this state on the link:{spec_doc_url}#switch-state[Serverless Workflow specification - Switch State]. [#switch-state] -.Example of switch state with timeout +.Example of Switch state with timeout [source,json] ---- { @@ -113,26 +119,27 @@ See more details about this state on the link:{spec_doc_url}#switch-date[Serverl } ---- +[#event-state-timeout] === Event state timeout -The `event` state is used to wait for one or more events to be received by the workflow and then continue the execution. -If the event state is a starting state, a new workflow instance is created. +The Event state is used to wait for one or more events to be received by the workflow, execute a set of actions, and then continue the execution. +If the Event state is a starting state, a new workflow instance is created. [NOTE] ==== -The event state is not supported as a starting state if the `exclusive` flag is set to `false`, therefore timeout is not supported in this case. +The Event state is not supported as a starting state if the `exclusive` flag is set to `false`, therefore timeout is not supported in this case. ==== -The `timeouts` property is used for this state to configure the maximum time the workflow should wait for the defined events to arrive. +The `timeouts` property is used for this state to configure the maximum time the workflow should wait for the configured events to arrive. -If this time is exceeded and the events are not received, the workflow moves to the state defined in the `transition` property or ends the workflow instance without performing any actions in case of an end state. +If this time is exceeded and the events are not received, the workflow moves to the state defined in the `transition` property or ends the workflow instance (in case of an end state), without performing any actions. You can see this in the <>. -For more information about event state timeout, see link:{spec_doc_url}#event-timeout-definition[Serverless Workflow specification]. +For more information about Event state timeout, see link:{spec_doc_url}#event-timeout-definition[Serverless Workflow specification - Event State]. [#event-state] -.Example of event state with timeout +.Example of Event state with timeout [source,json] ---- { @@ -187,55 +194,35 @@ For more information about event state timeout, see link:{spec_doc_url}#event-ti } ---- -=== Deploying a timed-based workflow +== Deploying a timed-based workflow -In order to deploy a workflow that contains timeouts or any other timer-based action, it is necessary to have a job service running in your environment, which is an external service responsible to control the workflows timers, see the xref:supporting-services/jobs-service.adoc#job-service[job service guide] for more information. -In the <> you can see the details of how set up a Knative infrastructure with the workflow and job service running. +To deploy a workflow that uses timeouts, or any other timer-based action, it is necessary to have a {job_service_xref}[job service] running in your environment, which is an independent service responsible to control the workflows timers, see the {job_service_xref}#integration-with-the-workflows[job service] for more information. +The provisioning of this service depends on the work mode that you are using. -[[job-addon-configuration]] -==== Addon configuration in the workflow runtime +=== {operator_name} Dev Profile -The communication from the workflow application with Job Service is done through an addon, which is responsible for publishing and consuming events related to timers. -When you run the workflow as a Knative service, you must add the `kogito-addons-quarkus-jobs-knative-eventing` to your project and provide the proper configuration. +When you work with the {operator_name} Dev Profile, the operator will automatically provide an execution environment that contains an embedded {job_service_xref}[job service] instance, as well as an instance of the {data_index_xref}[data index service]. +And thus, there is no need for additional configurations. -* Dependency in the `pom.xml`: +In the <> you can see the details of how to work with timeouts and the {operator_name} Dev Profile. -.Callback state example with timeout -[source, xml] ----- - - org.kie.kogito - kogito-addons-quarkus-jobs-knative-eventing - ----- +=== Quarkus Workflow Project -* Configuration parameters: +When you work with a standalone Quarkus Workflow Project, you must: -[[workflow-application-configuration-parameters]] -.Callback state example with timeout -[source, properties] ----- -# Events produced by kogito-addons-quarkus-jobs-knative-eventing to program the timers on the Job Service. -mp.messaging.outgoing.kogito-job-service-job-request-events.connector=quarkus-http -mp.messaging.outgoing.kogito-job-service-job-request-events.url=${K_SINK:http://localhost:8280/jobs/events} -mp.messaging.outgoing.kogito-job-service-job-request-events.method=POST ----- +1. Configure the project to include the required addon for the workflows to connect with that service. -[NOTE] -==== -The `K_SINK` variable used in the URL configuration for the outgoing channel in the -<>, is injected by Knative Eventing, more information on -xref:eventing/consume-produce-events-with-knative-eventing.adoc[Consuming and producing events on Knative Eventing]. -==== +2. Ensure that a jobs service instance is available in your environment. + +In the {job_service_xref}[job service] guide you can see all the available add-ons and configuration alternatives for this case. + +[#timeouts-showcase] +== Timeouts showcase -[#timeout-example] -== Timeout showcase example -You can check xref:use-cases/timeout-showcase-example.adoc[Timeout example in {product_name}] -to see how to use and configure workflows with timeouts. +To see the examples about how configure the timeouts, and execute them in different deployment scenarios, you can use the xref:use-cases/timeout-showcase-example.adoc[Timeouts showcase in {product_name}] == Additional resources -* xref:eventing/working-with-callbacks.adoc[Callback state in {product_name}] -* xref:use-cases/timeout-showcase-example.adoc[Timeout example in {product_name}] +* xref:core/working-with-callbacks.adoc[Callback state in {product_name}] -include::../../pages/_common-content/report-issue.adoc[] +include::../../pages/_common-content/report-issue.adoc[] \ No newline at end of file diff --git a/modules/serverless-logic/pages/core/understanding-jq-expressions.adoc b/modules/serverless-logic/pages/core/understanding-jq-expressions.adoc index 76f36b72..740b7046 100644 --- a/modules/serverless-logic/pages/core/understanding-jq-expressions.adoc +++ b/modules/serverless-logic/pages/core/understanding-jq-expressions.adoc @@ -1,7 +1,7 @@ -= jq expressions in {product_name} += jq Expressions :compat-mode!: // Metadata: -:description: JQ expressions in Serverless Workflow +:description: jq expressions in Serverless Workflow :keywords: kogito, workflow, serverless, jq, expression // links: :jq_url: https://stedolan.github.io/jq/manual/ @@ -10,7 +10,7 @@ Each workflow instance is associated with a data model. A data model consists of a JSON object regardless of whether the workflow file contains YAML or JSON. The initial content of the JSON object depends on how the workflow is started. If the workflow is created using the link:{cloud_events_url}[Cloud Event], then the workflow content is taken from the `data` property. However, if the workflow is started through an HTTP POST request, then the workflow content is taken from the request body. -The workflow expressions in the link:{spec_doc_url}#workflow-expressions[Serverless Workflow specification] are used to interact with the data model. The supported expression languages include link:{jsonpath_url}[JsonPath] and link:{jq_url}[jq]. jq expression language is the default language. However, you can change the expression language to JsonPath using the `expressionLang` property. +The workflow expressions in the link:{spec_doc_url}#workflow-expressions[Serverless Workflow specification] are used to interact with the data model. The supported expression languages include link:{jsonpath_url}[JsonPath] and link:{jq_url}[jq]. jq expression language is the default language. However, you can change the expression language to JsonPath using the `expressionLang` property. This document describes the usage of jq expressions in switch state conditions, action function arguments, and data filtering. @@ -21,7 +21,7 @@ The conditions occurring in a switch state enable the workflow designer to selec A condition in a switch state is an expression, which returns a boolean value when evaluated against the data model. If a condition associated with a state transition returns true, then the workflow must follow that transition. -For example, in the link:{kogito_sw_examples_url}/serverless-workflow-greeting-quarkus[`serverless-workflow-greeting-quarkus`] example application, a message is displayed depending on the selected language, that is English or Spanish. +For example, in the link:{kogito_sw_examples_url}/serverless-workflow-greeting-quarkus[`serverless-workflow-greeting-quarkus`] example application, a message is displayed depending on the selected language, that is English or Spanish. If the value of the `language` property is English, the constant literal injected on the `message` property is _Hello from_, otherwise the constant value injected on the `message` property is _Saludos desde…_. @@ -54,7 +54,7 @@ The Serverless Workflow specification requires all the expressions to be embedde In the Serverless Workflow specification, you can define link:{spec_doc_url}#workflow-functions[workflow functions], which can be invoked several times by the workflow states. Each workflow function call might contain different arguments, which are specified using the function arguments. -For example, you can see the link:{kogito_sw_examples_url}/serverless-workflow-temperature-conversion/conversion-workflow/src/main/resources/fahrenheit-to-celsius.sw.json[temperature conversion] function definition in `serverless-workflow-temperature-conversion` example application. The temperature conversion function performs OpenAPI invocations to convert Fahrenheit to Celsius. For more information about OpenAPI, see xref:serverless-logic:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services]. +For example, you can see the link:{kogito_sw_examples_url}/serverless-workflow-temperature-conversion/conversion-workflow/src/main/resources/fahrenheit-to-celsius.sw.json[temperature conversion] function definition in `serverless-workflow-temperature-conversion` example application. The temperature conversion function performs OpenAPI invocations to convert Fahrenheit to Celsius. For more information about OpenAPI, see xref:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services]. Following is the `subtraction` function in `serverless-workflow-temperature-conversion` example application: @@ -68,15 +68,15 @@ Following is the `subtraction` function in `serverless-workflow-temperature-conv }] ---- -The arguments in `subtraction` function are expressed as a JSON object, and the property values of the JSON object are either a string containing an expression or a link:{json_data_types_url}[JSON data type], such as string, number, or boolean. +The arguments in `subtraction` function are expressed as a JSON object, and the property values of the JSON object are either a string containing an expression or a link:{json_data_types_url}[JSON data type], such as string, number, or boolean. .Example arguments in `subtraction` function [source,json] ---- -"functionRef": +"functionRef": { "refName": "subtraction", - "arguments": + "arguments": { "leftElement": ".fahrenheit", "rightElement": ".subtractValue" @@ -84,7 +84,7 @@ The arguments in `subtraction` function are expressed as a JSON object, and the } ---- -In the previous example, the left number is equal to the `fahrenheit` property (an input number that invokes the workflow), and the right number is equal to the `subtractValue` property (a constant number that is injected to the workflow model by `SetConstants` state). Once the expression evaluation is resolved for all properties that contain an expression, the resulting object is passed in the OpenAPI request. Based on the OpenAPI definition, the properties in the JSON object are used as body, path, query, or header of the upcoming REST invocation. +In the previous example, the left number is equal to the `fahrenheit` property (an input number that invokes the workflow), and the right number is equal to the `subtractValue` property (a constant number that is injected to the workflow model by `SetConstants` state). Once the expression evaluation is resolved for all properties that contain an expression, the resulting object is passed in the OpenAPI request. Based on the OpenAPI definition, the properties in the JSON object are used as body, path, query, or header of the upcoming REST invocation. Following is an example of function arguments defined as string that contains an expression, returning a JSON object: @@ -105,7 +105,7 @@ In the previous example, the result of the expression evaluation is the same JSO The Serverless Workflow specification defines the following filtering mechanisms to select which information must be part of the workflow data model: -* link:{spec_doc_url}#action-data-filters[Action data filters]: Select the part of the action result that is merged into the data model, which overrides the properties that share the name with the selected action result. +* link:{spec_doc_url}#action-data-filters[Action data filters]: Select the part of the action result that is merged into the data model, which overrides the properties that share the name with the selected action result. * link:{spec_doc_url}#event-data-filters[Event data filters]: Similar to the action data filters, but apply to the events instead of actions. * link:{spec_doc_url}#state-data-filters[State data filters]: Define the workflow model to the JSON object, which is returned by the expression and discards an existing property. @@ -130,9 +130,9 @@ Following is an expression function in `serverless-workflow-expression-quarkus` ] ---- -In the previous example, an array of complex numbers (`x` is real coordinate and `y` is imaginary coordinate) is accepted and an expression function is defined to calculate the maximum value of `x` and minimum value of `y` for the `numbers` array. +In the previous example, an array of complex numbers (`x` is real coordinate and `y` is imaginary coordinate) is accepted and an expression function is defined to calculate the maximum value of `x` and minimum value of `y` for the `numbers` array. -Also, the `serverless-workflow-expression-quarkus` example application contains an action data filter defined inside `squareState` action and a state data filter defined inside `finish` state. The action data filter selects the maximum value of `x` to be merged to the workflow model, and the state data filter defines the maximum value as the entire workflow model that is returned as the workflow response. +Also, the `serverless-workflow-expression-quarkus` example application contains an action data filter defined inside `squareState` action and a state data filter defined inside `finish` state. The action data filter selects the maximum value of `x` to be merged to the workflow model, and the state data filter defines the maximum value as the entire workflow model that is returned as the workflow response. The previous example expression also contains a `max` function of type expression and an `operation` property containing a string of jq expression. This jq expression returns a JSON object, in which the `max` property is the maximum value of the `x` coordinate and the `min` property is the minimum value of the `y` coordinate. @@ -172,7 +172,7 @@ Therefore, after executing the action, the workflow model consists of a `number` } ---- -The original `numbers` array should not be returned as a result of the workflow execution, therefore the final stage consists of a state data filter defining the content of the output model. The output model should contain a `result` property and the value of `result` property should be the maximum number that is stored by the previous state in the `number` property. +The original `numbers` array should not be returned as a result of the workflow execution, therefore the final stage consists of a state data filter defining the content of the output model. The output model should contain a `result` property and the value of `result` property should be the maximum number that is stored by the previous state in the `number` property. In the previous example, the workflow model is changed by the `input` property of the filter, which means that the output model is updated before the state is executed. As a final result, the output model consists of a `result` property, containing the maximum value of `x`. -- @@ -181,7 +181,7 @@ Event data filter example:: + -- -You can find an example of event data filtering in the link:{kogito_sw_examples_url}/serverless-workflow-callback-quarkus[`serverless-workflow-callback-quarkus`] example application. +You can find an example of event data filtering in the link:{kogito_sw_examples_url}/serverless-workflow-callback-quarkus[`serverless-workflow-callback-quarkus`] example application. .Example event filter [source,json] @@ -198,6 +198,6 @@ The previous example of the event filter copies the content of CloudEvent data ` == Additional resources -* xref:serverless-logic:service-orchestration/configuring-openapi-services-endpoints.adoc[Configuring the OpenAPI services endpoints] +* xref:service-orchestration/configuring-openapi-services-endpoints.adoc[Configuring the OpenAPI services endpoints] include::../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/core/understanding-workflow-error-handling.adoc b/modules/serverless-logic/pages/core/understanding-workflow-error-handling.adoc index ad8bf3de..f413313c 100644 --- a/modules/serverless-logic/pages/core/understanding-workflow-error-handling.adoc +++ b/modules/serverless-logic/pages/core/understanding-workflow-error-handling.adoc @@ -8,7 +8,7 @@ :java_regex_url: https://docs.oracle.com/javase/tutorial/essential/regex/index.html :java_regex_pattern_url: https://docs.oracle.com/javase/tutorial/essential/regex/pattern.html -This document describes how you can handle the errors that might occur in {product_name}. +This document describes how you can handle the errors that might occur in {product_name}. The Serverless Workflow specification provides an link:{spec_doc_url}#workflow-error-handling[error handling] mechanism, enabling you to handle the errors that might happen during the interactions between the workflow and external systems. @@ -185,7 +185,7 @@ The `finish` state in the `serverless-workflow-error-quarkus` example applicatio == Additional resources -* xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] +* xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] include::../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/core/working-with-callbacks.adoc b/modules/serverless-logic/pages/core/working-with-callbacks.adoc new file mode 100644 index 00000000..57766b5c --- /dev/null +++ b/modules/serverless-logic/pages/core/working-with-callbacks.adoc @@ -0,0 +1,136 @@ += Callbacks in {product_name} + +:compat-mode!: +// Metadata: +:description: Working with callbacks +:keywords: kogito, workflow, serverless, callback, event + +This document describes the link:{spec_doc_url}#Callback-State[Callback state] and related examples. The Callback state performs an action and waits for an event, to be produced as a result of the action, to resume the workflow. The action peformed by a Callback state is an asynchronous external service invocation. Therefore, the Callback state is suitable to perform _fire&wait-for-result_ operations. + +From a workflow perspective, asynchronous service indicates that the control is returned to the caller immediately without waiting for the action to be completed. Once the action is completed, a link:{cloud_events_url}[CloudEvent] is published to resume the workflow. + +For the workflow to identify the published CloudEvent it is waiting for, the external service developer includes the workflow instance ID in the CloudEvent header or uses the xref:eventing/event-correlation-with-workflows.adoc[Event correlation]. The following figure displays the process: + +image::eventing/callbacks-explained.png[] + +The workflow correlation described in this document focuses on the former mechanism that is based on the fact that each workflow instance contains a unique identifier, which is generated automatically. + +[[ref-example-callback]] +== Example of Callback state + +To understand the Callback state, see the link:{kogito_sw_examples_url}/serverless-workflow-callback-quarkus[`serverless-workflow-callback-quarkus`] example application in GitHub repository. + +The initial model of the `serverless-workflow-callback-quarkus` example application is empty. Once the workflow is started, it publishes a CloudEvent of the `resume` type and waits for a CloudEvent, which contains the type `wait`. + +A listener consumes the CloudEvent with the `resume` type and simulates the behavior of an external service. Consequently, on the external service side, when the actions associated with the `resume` type CloudEvent are completed, the listener publishes a `wait` type CloudEvent. Once the `wait` type CloudEvent is received, the workflow moves to the next state and ends successfully. + +To use the Callback state in a workflow, first CloudEvent types such as `resume` and `wait` are declared that the workflow uses. Following is an example of CloudEvents declaration in a workflow definition: + +.Example of CloudEvents declaration in a workflow definition +[code,json] +---- +"events": [ + { + "name": "resumeEvent", + "source": "", + "type": "resume" + }, + { + "name": "waitEvent", + "source": "", + "type": "wait" + } + ] +---- + +After that, a Callback state is declared. The Callback state publishes a `resume` type CloudEvent and waits for a CloudEvent with `wait` type. The published CloudEvent contains a `move` data field, and the CloudEvent that is received is expected to contain a `result` data field. According to the link:{spec_doc_url}#event-data-filters[eventDataFilter], the `result` data field is added to the workflow model as a `move` field. + +Following is an example of declaring a Callback state that handles the `wait` type CloudEvent: + +.Example of a Callback State declaration handling the `wait` CloudEvent +[code,json] +---- +{ + "name": "waitForEvent", + "type": "callback", + "action": { + "name": "publishAction", + "eventRef": { + "triggerEventRef": "resumeEvent", + "data": "{move: \"This is the initial data in the model\"}" + } + }, + "eventRef": "waitEvent", + "eventDataFilter": { + "data": ".result", + "toStateData": ".move" + }, + "transition": "finish" + } +---- + +An link:{kogito_sw_examples_url}/serverless-workflow-callback-quarkus/src/main/java/org/kie/kogito/examples/PrintService.java[event listener] consumes the `resume` type CloudEvent and publishes a new `wait` type CloudEvent. Following is an example of a Java method that publishes the `wait` type CloudEvent: + +.Example of a Java method that publishes the `wait` CloudEvent +[code,java] +---- + + private String generateCloudEvent(String id, String input) { + Map eventBody = new HashMap<>(); + eventBody.put("result", input + " and has been modified by the event publisher"); + eventBody.put("dummyEventVariable", "This will be discarded by the process"); + try { + return objectMapper.writeValueAsString(CloudEventBuilder.v1() + .withId(UUID.randomUUID().toString()) + .withSource(URI.create("")) + .withType("wait") + .withTime(OffsetDateTime.now()) + .withExtension(CloudEventExtensionConstants.PROCESS_REFERENCE_ID, id) + .withData(objectMapper.writeValueAsBytes(eventBody)) + .build()); + } catch (JsonProcessingException e) { + throw new IllegalArgumentException(e); + } + + } +---- + +After that, the workflow application consumes the event published by the listener and sets the result field. The consumed CloudEvent contains an attribute named `kogitoprocrefid`, which holds the workflow instance ID of the workflow. + +The `kogitoprocrefid` attribute is crucial because when the correlation is not used, then this attribute is the only way for the Callback state to identify that the related CloudEvent needs to be used to resume the workflow. For more information about correlation, see xref:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}]. + +Note that each workflow is identified by a unique instance ID, which is automatically included in any published CloudEvent, as `kogitoprocinstanceid` CloudEvent extension. + +The following example shows that the event listener takes the workflow instance ID of a workflow from a CloudEvent attribute named `kogitoprocinstanceid`, which is associated with the CloudEvent that is consumed. + +.Example of a Java method that consumes the `resume` CloudEvent +[source,java] +---- + @Incoming("in-resume") + @Outgoing("out-wait") + @Acknowledgment(Strategy.POST_PROCESSING) + public String onEvent(Message message) { + Optional ce = CloudEventUtils.decode(message.getPayload()); + JsonCloudEventData cloudEventData = (JsonCloudEventData) ce.get().getData(); + return generateCloudEvent(ce.get().getExtension(CloudEventExtensionConstants.PROCESS_INSTANCE_ID).toString(), cloudEventData.getNode().get("move").asText()); + } +---- + +Apache Kafka configuration in `serverless-workflow-callback-quarkus`:: ++ +-- +The `serverless-workflow-callback-quarkus` example application requires an external broker to manage the associated CloudEvents. The default setup in the `serverless-workflow-callback-quarkus` example application uses link:{kafka_doc_url}[Apache Kafka]. However, you can also use xref:eventing/consume-produce-events-with-knative-eventing.adoc[Knative Eventing]. + +Apache Kafka uses topics to publish or consume messages. In the `serverless-workflow-callback-quarkus` example application, two topics are used, matching the name of the CloudEvent types that are defined in the workflow, such as `resume` and `wait`. The `resume` and `wait` CloudEvent types are configured in the link:{kogito_sw_examples_url}/serverless-workflow-callback-quarkus/src/main/resources/application.properties[`application.properties`] file. + +For more information about using Apache Kafka with events, see link:xref:consume-producing-events-with-kafka.adoc[Consuming and producing events using Apache Kafka]. +-- + +== Additional resources + +* xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] +* xref:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}] + +include::../../pages/_common-content/report-issue.adoc[] + + diff --git a/modules/serverless-logic/pages/core/working-with-parallelism.adoc b/modules/serverless-logic/pages/core/working-with-parallelism.adoc index c0108279..7ff1fd3a 100644 --- a/modules/serverless-logic/pages/core/working-with-parallelism.adoc +++ b/modules/serverless-logic/pages/core/working-with-parallelism.adoc @@ -18,7 +18,7 @@ The `serverless-workflow-service-calls-quarkus` example application is a workflo [[proc-parallel-creating-the-workflow]] == Creating a parallel workflow -You can create a workflow, which performs a series of parallel tasks. +You can create a workflow, which performs a series of parallel tasks. .Prerequisites @@ -114,7 +114,7 @@ After you create a workflow that performs a series of parallel tasks, you can ru .Prerequisites -* A parallel workflow is created. +* A parallel workflow is created. + For more information, see <>. @@ -163,7 +163,7 @@ You can define the `"completionType": "atLeast"` to run only some branches in pa .Prerequisites -* A parallel workflow is created. +* A parallel workflow is created. + For more information, see <>. @@ -270,6 +270,6 @@ The parallel workflow data shows the concatenated string as result, but in this == Additional resources -* xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] +* xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] -include::../../pages/_common-content/report-issue.adoc[] +include::../../pages/_common-content/report-issue.adoc[] \ No newline at end of file From 2e87be87e69c4617bb9b6650f83de73f05160e6a Mon Sep 17 00:00:00 2001 From: Dominik Hanak Date: Thu, 7 Dec 2023 08:46:17 +0100 Subject: [PATCH 04/26] SRVLOGIC-184: Update Tooling section for TP2 --- modules/ROOT/nav.adoc | 5 - .../tooling/kn-plugin-workflow-overview.adoc | 303 ------------------ .../quarkus-dev-ui-custom-dashboard-page.adoc | 42 --- .../quarkus-dev-ui-overview.adoc | 93 ------ ...arkus-dev-ui-workflow-definition-page.adoc | 54 ---- ...uarkus-dev-ui-workflow-instances-page.adoc | 119 ------- ...rless-logic-web-tools-deploy-projects.adoc | 76 +++-- ...ss-logic-web-tools-github-integration.adoc | 80 +++-- ...logic-web-tools-openshift-integration.adoc | 76 +++-- .../serverless-logic-web-tools-overview.adoc | 46 +-- ...dhat-application-services-integration.adoc | 164 +++++----- .../swf-editor-chrome-extension.adoc | 12 +- .../swf-editor-overview.adoc | 10 +- .../swf-editor-vscode-extension.adoc | 12 +- 14 files changed, 263 insertions(+), 829 deletions(-) delete mode 100644 modules/serverless-logic/pages/tooling/kn-plugin-workflow-overview.adoc delete mode 100644 modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-custom-dashboard-page.adoc delete mode 100644 modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-overview.adoc delete mode 100644 modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-definition-page.adoc delete mode 100644 modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-instances-page.adoc diff --git a/modules/ROOT/nav.adoc b/modules/ROOT/nav.adoc index 34572248..96c4fa0f 100644 --- a/modules/ROOT/nav.adoc +++ b/modules/ROOT/nav.adoc @@ -30,11 +30,6 @@ **** xref:serverless-logic:tooling/serverless-workflow-editor/swf-editor-overview.adoc[Serverless Workflow editor] ***** xref:serverless-logic:tooling/serverless-workflow-editor/swf-editor-vscode-extension.adoc[VS Code extension for Serverless Workflow editor] ***** xref:serverless-logic:tooling/serverless-workflow-editor/swf-editor-chrome-extension.adoc[Chrome GitHub extension for Serverless Workflow editor] -**** xref:serverless-logic:tooling/quarkus-dev-ui-extension/quarkus-dev-ui-overview.adoc[Kogito Serverless Workflow Tools extension in Quarkus Dev UI] -***** xref:serverless-logic:tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-instances-page.adoc[Workflow Instances in Kogito Serverless Workflow Tools extension] -***** xref:serverless-logic:tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-definition-page.adoc[Workflow Definitions in Kogito Serverless Workflow Tools extension] -***** xref:serverless-logic:tooling/quarkus-dev-ui-extension/quarkus-dev-ui-custom-dashboard-page.adoc[Dashboards in Kogito Serverless Workflow Tools extension] -**** xref:serverless-logic:tooling/kn-plugin-workflow-overview.adoc[{product_name} plug-in for Knative CLI] **** xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.adoc[{serverless_logic_web_tools_name}] ***** xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-github-integration.adoc[GitHub integration] ***** xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-integration.adoc[OpenShift integration] diff --git a/modules/serverless-logic/pages/tooling/kn-plugin-workflow-overview.adoc b/modules/serverless-logic/pages/tooling/kn-plugin-workflow-overview.adoc deleted file mode 100644 index 6ae03f91..00000000 --- a/modules/serverless-logic/pages/tooling/kn-plugin-workflow-overview.adoc +++ /dev/null @@ -1,303 +0,0 @@ -= {product_name} plug-in for Knative CLI - -:compat-mode!: -// Metadata: -:description: Overview of the Workflow plugin for the Knative CLI -:keywords: kogito, workflow, serverless, knative, plugin -// links -:java_install_url: https://www.java.com/en/download/help/download_options.html -:maven_install_url: https://maven.apache.org/install.html -:docker_install_url: https://docs.docker.com/engine/install/ -:podman_install_url: https://docs.podman.io/en/latest/ -:kubectl_install_url: https://kubernetes.io/docs/tasks/tools/install-kubectl -:kn_cli_install_url: https://github.com/knative/client/blob/main/docs/README.md#installing-kn -:apple_support_url: https://support.apple.com/guide/mac-help/mh40616/mac - -{product_name} provides a plug-in named `kn-plugin-workflow` for Knative CLI, which enables you to set up a local workflow project quickly using the command line. - -This document describes how you can install and use the `kn-plugin-workflow` plug-in in {product_name}. - -[[proc-install-sw-plugin-kn-cli]] -== Installing the {product_name} plug-in for Knative CLI - -You can use the {product_name} plug-in to set up your local workflow project quickly using Knative CLI. - -.Prerequisites -* link:{java_install_url}[Java] {java_min_version} is installed. -* link:{maven_install_url}[Maven] {maven_min_version} or later is installed. -* (Optional) link:{docker_install_url}[Docker] is installed. -* (Optional) link:{podman_install_url}[Podman] is installed. -* link:{kubectl_install_url}[Kubernetes CLI] is installed. - -.Procedure -. Download the latest binaries from the link:{kie_tools_releases_page_url}[KIE Tooling Releases] page. -. Run the `kn workflow` command using one of the following methods: -+ --- -* Add `kn workflow` command in your system path and ensure that it is executable. -* Install `kn workflow` command as a plug-in of the Knative CLI using the following steps: -.. Install the Knative CLI. For installation instructions, see link:{kn_cli_install_url}[Installing kn] documentation in GitHub. -.. Copy the `kn-workflow` binary to a directory in your `PATH`, such as `/usr/local/bin` and ensure that the file name is `kn-workflow`. -.. On Mac, add execution permission as follows: -+ -`chmod +x /usr/local/bin/kn-workflow` -+ -[WARNING] -==== -Some systems might block the application to run due to Apple enforcing policies. To fix this problem, check the *Security & Privacy* section in the *System Preferences* -> *General* tab to approve the application to run. For more information, see link:{apple_support_url}[Apple support article: Open a Mac app from an unidentified developer]. -==== -.. Run the following command to verify that `kn-workflow` plug-in is installed successfully: -+ -`kn plugin list` - -After installing the plug-in, you can use `kn workflow` to run the related subcommands. --- - -. Use the `workflow` subcommand in Knative CLI as follows: -+ --- -.Methods to use workflow subcommand -[source,shell] ----- -kn workflow -kn-workflow ----- - -.Example output -[source,text] ----- -Manage Kogito Serverless Workflow projects - -Usage: - kn workflow [command] - -Available Commands: - build Build a Kogito Serverless Workflow project and generate a container image - completion Generate the autocompletion script for the specified shell - create Create a Kogito Serverless Workflow project - deploy Deploy a Kogito Serverless Workflow project - help Help about any command - -Flags: - -h, --help help for kn-workflow - -v, --verbose Print verbose logs - -Use "kn workflow [command] --help" for more information about a command. ----- --- - -[[proc-create-sw-project-kn-cli]] -== Creating a workflow project using Knative CLI - -After installing the {product_name} plug-in, you can use the `create` command with `kn workflow` to scaffold a new workflow project in your current directory. - -The `create` command sets up Quarkus project containing minimal extensions to build a workflow project. Also, the generated workflow project contains a "hello world" `workflow.sw.json` file in your `.//src/main/resources` directory. - -.Prerequisites -* {product_name} plug-in for Knative CLI is installed. -+ -For more information about installing the plug-in, see <>. -ifeval::["{kogito_version_redhat}" != ""] -* You followed the steps in xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc#proc-configuring-maven-rhbq[Configuring your Maven project to Red Hat build of Quarkus and OpenShift Serverless Logic] -endif::[] - -.Procedure -. In Knative CLI, enter the following command to create a new project: -+ --- -.Creates a project named `new-project` -[source,shell] ----- -kn workflow create ----- - -By default, the generated project is named as `new-project`. You can overwrite the project name by using the `[-n|--name]` flag as follows: - -.Create a project named `my-project` -[source,shell] ----- -kn workflow create --name my-project ----- --- - -. Add more extensions to the Quarkus project during its creation by using the `[-e|--extension]` flag as follows: -+ --- -.Create a project with `quarkus-jsonp` and `quarkus-smallrye-openapi` extensions -[source,shell] ----- -kn workflow create --extension quarkus-jsonp,quarkus-smallrye-openapi ----- - -You can add multiple extensions using the comma-separated names of the extensions in the previous command. - -[NOTE] -==== -When you run the `create` command for the first time, it might take a while due to the necessity of downloading the required dependencies for the Quarkus project. -==== --- - -[[proc-build-sw-project-kn-cli]] -== Building a workflow project using Knative CLI - -After creating your workflow project, you can use the `build` command with `kn workflow` to build your workflow project in your current directory and to generate a container image. - -The process of building your workflow project produces a `knative.yml` file in the `./target/kubernetes` folder. If your workflow contains events, then the building process also generates a `kogito.yml` file. - -.Prerequisites -* {product_name} plug-in for Knative CLI is installed. -+ -For more information about installing the plug-in, see <>. - -* A workflow project is created. -+ -For more information about creating a workflow project, see <>. - -.Procedure -. In Knative CLI, enter the following command to build your workflow project: -+ --- -.Build the project and generate a local image named `dev.local/my-project` -[source,shell] ----- -kn workflow build --image dev.local/my-project ----- - -[NOTE] -==== -By using `dev.local` as repository, you can deploy your {product_name} project in a local environment without having to push the image to a container registry. -==== - -To use the `build` command, you need to provide either `--image` or `--image-name` flag. In the previous command, you can use the `[-i|--image]` in several ways, such as: - -* --image=[name] -* --image=[name]:[tag] -* --image=[repository]/[name] -* --image=[repository]/[name]:[tag] -* --image=[registry]/[repository]/[name] -* --image=[registry]/[repository]/[name]:[tag] - -[NOTE] -==== -The default value for `registry` and `tag` is `quay.io` and `latest` respectively. -==== - -Also, you can use specific flags to compose the full name of the image as follows: - -* `--image-registry` -* `--image-repository` -* `--image-name` -* `--image-tag` - -In case the `--image` flag is composed with specific flags as shown in the following command, then the specific value overrides the `--image` flag: - -.Build the project and generate a local image named `quay.io/other-user/my-project:1.0.1` -[source,shell] ----- -kn workflow build --image my-user/my-project:1.0.0 --image-repository other-user --image-tag 1.0.1 ----- --- - -[[con-build-strategy-kn-cli]] -=== Strategy for building a workflow project - -You can use the following strategies to build a workflow project and to generate the container image: - -Using Jib:: -+ --- -link:https://github.com/GoogleContainerTools/jib[Jib] is an extension that builds a container image without the necessity of a container runtime. When using the Jib extension, the rebuilds are fast and the resultant container image is optimized. - -You can use the following commands to build a workflow project and to generate a local image using Jib: - -.Build a project and generate a local image using Jib -[source,shell] ----- -kn workflow build --image dev.local/my-project --jib ----- -The generated container image can be saved in the Docker runtime. - -.Build a project and generate a local image using Jib -[source,shell] ----- -kn workflow build --image dev.local/my-project --jib-podman ----- -Using the previous command, the generated container image can be saved in the Podman runtime. - -If you do not want to use any container runtime, then use `--push` to push the generated container image to the respective registry as shown in the following command: - -.Build a project and push the image using Jib -[source,shell] ----- -kn workflow build --image my-project --jib --push ----- - -[IMPORTANT] -==== -Before using the `--push` option, ensure that you have access to your registry. You can get the access using Docker or Podman login. -==== --- - -Using Docker:: -+ --- -The process of building your workflow project using Docker is straightforward and also a default approach. - -When using Docker, you can automatically push the container image to the respective registry by using the `--push` option as shown in the following command: - -.Build a project and push the image using Docker -[source,shell] ----- -kn workflow build --image my-project --push ----- --- - -[[proc-deploy-sw-project-kn-cli]] -== Deploying a workflow project using Knative CLI - -You can use the `deploy` command combined with `kn workflow` to deploy your workflow project in your current directory. However, before deploying the project, you must build your workflow project as the build process produces deployment files, such as `knative.yml` and `kogito.yml` (In case of events) in the `./target/kubernetes` folder. - -.Prerequisites -* {product_name} plug-in for Knative CLI is installed. -+ -For more information about installing the plug-in, see <>. - -* A workflow project is created. -+ -For more information about created a workflow project, see <>. - -* A workflow project is built. -+ -For more information about building your workflow project, see <>. - -.Procedure -. In Knative CLI, enter the following command to deploy your workflow project: -+ --- -.Deploy a workflow project -[source,shell] ----- -kn workflow deploy ----- - -If the deployment files (`knative.yml` and `kogito.yml`) are saved in any other folder instead of `./target/kubernetes`, then you can override the path using the `--path` flag with deployment command as follows: - -.Deploy a workflow project using `--path` -[source,shell] ----- -kn workflow deploy --path other-path ----- - -Also, ensure that you have access to your cluster and your cluster can access the generated container image. - -[NOTE] -==== -You can use the `kubectl` command line if you want to use a complex deployment setup for your workflow project. -==== --- - -== Additional resources - -* xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] - -include::../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-custom-dashboard-page.adoc b/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-custom-dashboard-page.adoc deleted file mode 100644 index 0ca13b17..00000000 --- a/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-custom-dashboard-page.adoc +++ /dev/null @@ -1,42 +0,0 @@ -= Dashboards in Kogito Serverless Workflow Tools extension -:compat-mode!: -// Metadata: -:description: Dashboards in Kogito Serverless Workflow Tools extension -:keywords: kogito, workflow, serverless, Quarkus, Dev UI, Dashboards -:dashboard_guide: https://www.dashbuilder.org/docs/#chap-dashbuilder-yaml-guides -:dashboard_editor: https://start.kubesmarts.org/ - -In Kogito Serverless Workflow Tools, the Dashboards page is used to display the available dashboard files. The page displays a list of available dashboards and add filters to the list. - -.Dashboard page -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-dashboard-list.png[] - -The table on the Dashboards page displays the following details: - -* *Name*: the name of a custom dashboard. -* *Last Modified*: the time reference indicating when the custom dashboard was last updated. - -== Creating a custom dashboard - -=== Create a custom dashboard file -See the {dashboard_guide}[dashboard guide] for creating dashboards and visualizations with YAML. You can run all examples with {dashboard_editor}[Dashbuilder YAML Online]. - -=== Storage path of custom dashboards -The default storage path for dashboard files is *src/main/resources/dashboards*, but the property *quarkus.kogito-runtime-tools.custom.dashboard.folder* can be used to set a custom storage path. - -.Default storage path -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-dashboard-storage-path.png[] - -== Filtering the dashboards -To filter the dashboard based on name, enter a name in the *Filter by dashboard name* field and click *Apply filter* button. - -.Example filters applied on the dashboards -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-filters-in-dashboards.png[] - -== Accessing a dashboard details -In the dashboard table, the *name* column contains a clickable link, which enables you to navigate to the *Dashboard Details* page. - -.Dashboard Details page -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-dashboard-details.png[] - -include::../../../pages/_common-content/report-issue.adoc[] \ No newline at end of file diff --git a/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-overview.adoc b/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-overview.adoc deleted file mode 100644 index 7d326e7d..00000000 --- a/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-overview.adoc +++ /dev/null @@ -1,93 +0,0 @@ -= Kogito Serverless Workflow Tools extension in Quarkus Dev UI -:compat-mode!: -// Metadata: -:description: Kogito Serverless Workflow Tools extension in Quarkus Dev UI -:keywords: kogito, workflow, serverless, Quarkus, Dev UI -// links -:quarkus_dev_ui_url: https://quarkus.io/guides/dev-ui -:quarkus_extension_url: https://code.quarkus.io/ - -Quarkus applications come integrated with a link:{quarkus_dev_ui_url}[Dev UI], providing a number of tools that help in developing the applications in Quarkus. You can plug in such tools to your Quarkus application as link:{quarkus_extension_url}[extensions], such as Kogito Serverless Workflow Tools. - -[[proc-install-sw-tools-extension]] -== Installing Kogito Serverless Workflow Tools extension - -The Kogito Serverless Workflow Tools extension provides a console to view, manage, and start the workflow instances. - -.Prerequisites -* Quarkus {quarkus_version} is installed. -* Quarkus command line interface (CLI) is installed. For more information, see link:{quarkus_cli_url}[Installing the Quarkus CLI]. - -.Procedure -. In a command terminal, enter the following command to install the Kogito Serverless Workflow Tools extension: -+ --- -.Install Kogito Serverless Workflow Tools extension -[source,shell] ----- -quarkus ext add org.kie.kogito:kogito-quarkus-serverless-workflow-devui ----- - -Executing the previous command adds the following dependency to `pom.xml` file of your project: - -.Kogito Serverless Workflow Tools dependency in `pom.xml` file -[source,xml] ----- - - org.kie.kogito - kogito-quarkus-serverless-workflow-devui - ${VERSION} - ----- --- - -. Enter the following command to add the `kogito-addons-quarkus-source-files` extension that provides the source code to generate the Serverless Workflow diagram in the consoles: -+ --- -.Install Kogito source files add-on extension -[source,shell] ----- -quarkus ext add org.kie.kogito:kogito-addons-quarkus-source-files ----- - -Executing the previous command adds the following dependency to `pom.xml` file of your project: - -.source files add-on dependency in `pom.xml` file -[source,xml] ----- - - org.kie.kogito - kogito-addons-quarkus-source-files - ----- --- - -. Run the following command to start the Quarkus application: -+ --- -.Start Quarkus application -[source,shell] ----- -quarkus dev ----- --- - -. To access the Quarkus Dev UI, go to `http://localhost:8080/q/dev/`. -+ --- - -.Kogito Serverless Workflow Tools extension in Quarkus Dev UI -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-quarkus-dev-ui.png[] - -The Kogito Serverless Workflow Tools extension contains the following pages: - -* xref:serverless-logic:tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-instances-page.adoc[Workflow Instances] -* xref:serverless-logic:tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-definition-page.adoc[Workflow Definitions] -* xref:tooling/quarkus-dev-ui-extension/quarkus-dev-ui-custom-dashboard-page.adoc[Dashboards] - --- - - -include::../../../pages/_common-content/report-issue.adoc[] - - diff --git a/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-definition-page.adoc b/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-definition-page.adoc deleted file mode 100644 index 22c3593a..00000000 --- a/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-definition-page.adoc +++ /dev/null @@ -1,54 +0,0 @@ -= Workflow Definitions in Kogito Serverless Workflow Tools extension -:compat-mode!: -// Metadata: -:description: Workflow Definitions in Kogito Serverless Workflow Tools extension -:keywords: kogito, workflow, serverless, Quarkus, Dev UI, definitions - -In Kogito Serverless Workflow Tools extension, the Workflow Definitions page displays the list of available workflow definitions, which are used to trigger the cloud events and start the workflow instances. Also, the Workflow Definitions page enables you to add filters to the workflow definitions list. - -.Workflow Definitions page -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-workflow-definitions.png[] - -The table on the Workflow Definitions page displays the following details: - -* *Workflow Name*: Displays the name of a workflow definition. -* *Endpoint*: Displays the URL to a workflow definition. -* *Actions*: Provides a button to start a new workflow. - -The filters on the Workflow Definitions page enables you to add filters to the table. To search for a specific workflow definition, enter the name of the workflow in the *Filter by workflow name* field and click *Apply Filter* button. The matching workflow definitions appear as a chip below the search field. - -To clear the applied filters, you can click the *Reset to default* button. Also, to fetch newly added workflow definitions, click on the refresh icon next to the *Apply Filter* button. - -.Workflow Definitions filters -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-workflow-definitions-filter.png[] - -[[con-trigger-cloud-event-page]] -== Start New Workflow page - -The *Start New Workflow* page is used to start a workflow instance through a cloud event or a custom form, depending on the workflow configuration. To navigate to the *Start New Workflow* page, click the play button in the *Actions* column of the workflow definitions table. - -*If there is no JSON schema for the workflow, then the workflow is started by triggering a cloud event. -To trigger a cloud event, you can use the *Cloud Event Type* and *Cloud Event Data* input fields to set the type of a cloud event and event payload in JSON format respectively and click the *Start* button to start a workflow. The *Reset* button on the page resets the values entered in the given fields. - -.Starting a workflow using a cloud event -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-trigger-cloud-events.png[] - -If there is a JSON schema for the workflow configured in the `dataInputSchema` property, then a form is displayed to start a new workflow instance. You can fill in the required form details and click the *Start* button to trigger the workflow. -The *Reset* button is used to clear the form data. - -.Starting a workflow using the form -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-trigger-cloud-events-custom-form.png[] - -You can also use the *Business key* text box to define a custom business key value to the workflow instance. If the *Business Key* field is blank, then an auto-generated business key is defined for the workflow instance. - -When a workflow instance starts successfully, a success alert appears on the top of the screen, which contains a *Go to workflow list* option. The *Go to workflow list* option enables you to navigate to the xref:serverless-logic:tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-instances-page.adoc[Workflow Instances page]. - -.Example of trigger workflow success alert -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-start-workflow-success-alert.png[] - -If there is an issue while starting a workflow, then a failure alert appears on the top of the screen, containing *View Details* and *Go to workflow list* options. The *View Details* enables you to view the error message. - -.Example of trigger workflow failure alert -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-start-workflow-fail-alert.png[] - -include::../../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-instances-page.adoc b/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-instances-page.adoc deleted file mode 100644 index bf74e1d1..00000000 --- a/modules/serverless-logic/pages/tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-instances-page.adoc +++ /dev/null @@ -1,119 +0,0 @@ -= Workflow Instances in Kogito Serverless Workflow Tools extension -:compat-mode!: -// Metadata: -:description: Workflow Instances page in Kogito Serverless Workflow Tools extension -:keywords: kogito, workflow, serverless, Quarkus, Dev UI, instances - -In Kogito Serverless Workflow Tools, the Workflow Instances page is used to monitor and manage the available instances. The Workflow Instances page displays a list of available instances and add filters to the list. - -.Workflow Instances page with no instances -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-workflow-instances-empty.png[] - -To create a workflow instance, you can use the Workflow Definitions page. For more information, see xref:serverless-logic:tooling/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-definition-page.adoc[Workflow Definitions in Kogito Serverless Workflow Tools extension]. - -When you create a workflow instance, the instance appears in the workflow instances table on the page, containing the following details: - -* *Id*: Displays the name and business key of an instance. Also, when you hover on the name of the workflow instance, a unique ID is displayed for the instance. You can click on the ID to navigate to the *Workflow Details* page. -* *Status*: Displays the current state of the instance. This column can contain *Active*, *Completed*, *Aborted*, *Error*, and *Suspended* as values. -* *Created*: Displays the time reference indicating when the instance is created. -* *Last Update*: Displays the time reference indicating when the instance is last updated. - -.Workflow Instances page with an instance -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-workflow-instance-completed.png[] - -You can also sort the columns of the workflow instances table. - -On the Workflow Instances page, you can filter the list of workflow instances based on the states and business keys. By default, *Active*, *Completed*, *Aborted*, *Error*, and *Suspended* are applied on the list. You can use the *Status* drop-down to see the available states. To filter the workflow instances based on the states, select or unselect the states in the *Status* drop-down and click *Apply filter* button. - -To filter the workflow instances based on business keys, enter a business key in the *Filter by business key* field and click *Apply filter* button. - -.Example filters applied on the workflow instances -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-filters-in-workflow-instances.png[] - -To fetch the newly added workflow instances, click on the refresh icon next to the *Apply Filter* button. Also, to clear the applied filters and reset to the default state, click *Reset to default* button. - -In the workflow instances table, the *Id* column contains a clickable link, which enables you to navigate to the *Workflow Details* page. The *Workflow Details* page contains various panels, providing detailed information about a workflow instance. - -.Example Workflow Details page -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-workflow-details-page.png[] - -The Workflow Details page consists of the following panels: - -* Serverless Workflow Diagram panel -* Timeline panel -* Details panel -* Variables panel - -Serverless Workflow Diagram panel:: -+ --- -The Serverless Workflow Diagram panel enables you to explore the workflow diagram and execution path of the workflow instance. The workflow diagram and execution path are displayed by consuming the source which is exposed through the `kogito-addons-quarkus-source-files`. - -To add the source files add-on configuration, add the following dependency to `pom.xml` file of your project: - -.source-files add-on dependency in `pom.xml` file -[source,xml] ----- - - org.kie.kogito - kogito-addons-quarkus-source-files - ----- - -There are two ways to display the diagram. - -1. Stunner Diagram -2. Mermaid Diagram - -By default, the Stunner diagram is displayed. To toggle between the two diagrams you can use the `kogito.swf.stunner.enabled`(defaulted to true) environment variable in your application properties. - -[NOTE] -==== -For yaml-based workflow files, the mermaid diagram is displayed instead of the stunner diagram. -==== - -There is a slider available in the diagram panel, which when dragged to the right displays the source code in read-only mode. - -.Stunner based Diagram panel -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-workflow-stunner-diagram-panel.png[] - -.Mermaid based Diagram panel -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-workflow-mermaid-diagram-panel.png[] --- - -Timeline panel:: -+ --- -The Timeline panel displays the list of nodes that are related to a workflow instance. Each node in the Timeline panel consists of an icon, indicating the state of the node, such as *Active*, *Completed*, or *Error*. - -.Timeline panel -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-workflow-timeline-panel.png[] --- - -Details panel:: -+ --- -The Details panel displays the basic information related to a workflow instance, including: - -* *Name*: Name of the workflow instance. -* *Business key*: Business key related to the workflow instance. -* *State*: Current state of the workflow instance. -* *Id*: Unique ID of the workflow instance. -* *Start*: Time reference indicating when the workflow instance is started. -* *Last Updated*: Time reference indicating when the workflow instance is last updated. -* *End*: Time reference indicating when the workflow instance is completed. - -.Details panel -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-workflow-details-panel.png[] --- - -Variables panel:: -+ --- -The Variables panel displays the data of a workflow in the form of JSON. - -.Variables panel -image::tooling/quarkus-dev-ui-extension/kogito-swf-tools-workflow-variables-panel.png[] --- - -include::../../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-deploy-projects.adoc b/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-deploy-projects.adoc index 56c8df2b..22e62b47 100644 --- a/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-deploy-projects.adoc +++ b/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-deploy-projects.adoc @@ -1,55 +1,73 @@ -= Deploying your projects += Deploying your {product_name} projects using {serverless_logic_web_tools_name} :compat-mode!: // Metadata: :description: {serverless_logic_web_tools_name} deploying your projects :keywords: kogito, workflow, serverless, editor, web, tools, settings, openshift, deploy, project -{product_name} projects can be deployed to an OpenShift instance via the OpenShift integration, allowing authors to test their implementations in a live environment. Note that these deployments are not meant for production, only development purposes. +You can deploy your {product_name} projects to an OpenShift instance using the OpenShift integration. The OpenShift integration allows you to test your implementations in a live environment. + +[NOTE] +==== +The deployments described in this document are for development purposes, but not for production. +==== [[proc-deploy-first-serverless-project-serverless-logic-web-tools]] -== Deploying your first simple serverless project +== Deploying your first {product_name} project -Deploy your first {product_name} project to an OpenShift instance and see it running live. +You can deploy your first {product_name} project to an OpenShift instance and run the project in a live environment. .Prerequisites -* OpenShift integration has to be correctly configured (see how to xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-integration.adoc[here]). +* OpenShift integration is configured correctly. ++ +For more information, see xref:tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-integration.adoc[Integrating your {product_name} project with OpenShift using {serverless_logic_web_tools_name}]. .Procedure -. Start by creating a project from one of the samples. For this tutorial, the **Greetings** sample is recommended, as it has no external dependencies and is easy to test and comprehend. Here's a brief explanation of what it does: +. Create a project using an example application in link:{kogito_sw_examples_url}[GitHub]. + -____ -This example shows a single Operation State with one action that calls the "greeting" function. The workflow data input is assumed to be the name of the person to greet. The result of the action is assumed to be the greeting for the provided person's name, which is added to the state's data and becomes the workflow data output. -____ -. On the editor page, click on the **Try on OpenShift** button, then, on the context menu, click on **Deploy "greetings" ({product_name})**; -. A modal should appear, showing deployment options: - * **Deploy as a project**: This will be available if your current workspace has a full project structure (with a single `pom.xml` file); - ** If the option is **disabled**: A pre-built image container that contains a Quarkus project will be used and all serverless workflow files will be placed inside `src/main/resources` folder of the project. In this case, it is important to make sure the serverless workflow files do not have any other dependencies because they are not included in the deployment. - ** If the option is **enabled**: All files in the workspace will be deployed as-is, meaning no project template will be used. So it is up to you to make sure the project is _deployable_. - * **Advanced options**: - ** **Upload OpenAPI spec to Service Registry**: After a {product_name} is deployed, an OpenAPI spec is available in the deployed service. Checking this option will make the {serverless_logic_web_tools_name} poll for this spec and upload it to your configured Service Registry (_To use this option, you need to configure your Service Account and Service Registry on the Settings page. You can check how to configure it xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.adoc[here]_); - ** **Attach KafkaSource to the deployment**: If your {product_name} has an Apache Kafka event dependency then this option should be checked (_To use this option, you need to configure your Service Account and Streams for Apache Kafka on the Settings page. You can check how to configure it xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.adoc[here]_). -. Leave everything unchecked and click on **Confirm**. -. A toast should show the following message: **Your deployment has been successfully started and will be available shortly. Please do not close this browser tab until the operation is completed.** and clicking on the **OpenShift deployments** icon should show your deployment status. The process should take a few minutes since a build needs to be completed before the services are up. +-- +You can use the link:https://github.com/kiegroup/kogito-examples/tree/main/serverless-workflow-examples/serverless-workflow-greeting-quarkus[`serverless-workflow-greeting-quarkus`] example application, which does not contain external dependencies and is easy to test and comprehend. + +The `serverless-workflow-greeting-quarkus` example application contains a single operation state with one action, sending request to the `greeting` function. In the example application, the workflow data is assumed to be the name of the person to greet, and the result is the greeting for the person. The result is added to the state data, which later becomes the workflow data output. +-- + +. On the editor page, click *Try on OpenShift* button. +. On the context menu, click *Deploy "greetings" ({product_name})*. + -- -.OpenShift deployment status (success) -image:tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-deployments.png[] +A modal appears, displaying the following deployment options: + +* *Deploy as a project*: This option is available if your current workspace contains the entire project structure including a single `pom.xml` file. + +** If *Deploy as a project* option is disabled, a pre-built image container, containing a Quarkus project is used and the workflow files are placed in the `src/main/resources` folder of the project. In this case, ensure that the workflow files do not have other dependencies as the dependencies are not included in the deployment. +** If *Deploy as a project* option is enabled, all the workflow files are deployed as-is, indicating that no project template is used. Therefore, ensure that the project is deployable. + +* *Upload OpenAPI spec to Service Registry*: After a workflow is deployed, an OpenAPI specification is available in the deployed service. When you check this option, the {serverless_logic_web_tools_name} fetches the OpenAPI specification, and when ready, the OpenAPI specification is uploaded to your configured service registry. To use this option, you need to configure your service account and service registry on the *Settings* page. To configure the service account and service registry, see xref:tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.adoc[Integrating with Red Hat OpenShift Application and Data Services]. +-- + +. Uncheck all options and click *Confirm*. ++ -- +A pop-up appears displaying *Your deployment has been successfully started and will be available shortly. Please do not close this browser tab until the operation is completed.* message. Clicking on the *OpenShift deployments* icon shows your deployment status. The deployment process takes a few minutes since a build needs to be completed before the services are active. +.OpenShift deployment status +image:tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-deployments.png[] +-- -[[proc-check-deploy-status-serverless-logic-web-tools]] -== Checking your deployment status +[[proc-verify-deploy-status-serverless-logic-web-tools]] +== Verifying the deployment status of your first project -After deployment is successful you can check out multiple information about your service. +After the deployment of your {product_name} project is successful, you can verify various information about the deployed service. .Prerequisites -* OpenShift integration has to be correctly configured (see how to xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-integration.adoc[here]); -* Have a successfully deployed project. -* The deployed project must have been deployed with the *Deploy as a project* option *unchecked*, as the Serverless deployment page is only available via the pre-built image container. If the option was checked the tool will open whatever `index.html` file your project provided. +* OpenShift integration is configured correctly. ++ +For more information, see xref:tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-integration.adoc[Integrating your {product_name} project with OpenShift using {serverless_logic_web_tools_name}]. +* Your {product_name} project is deployed successfully. +* Deployed project must be deployed using the *Deploy as a project* option as unchecked, as the deployment page is only available using the pre-built image container. If the option *Deploy as a project* option is checked the tool opens the `index.html` file your project provides, if any. .Procedure -. Click on the **OpenShift deployments** icon to show a list of deployments; -. If your deployment is successful (listed with a emoji:white_check_mark[1x]) you can click on it to access the **Serverless Deployment** page and check on the **Swagger UI** interface, **Open API** specification and **Metrics** page via DashBuilder. +. Click on the *OpenShift deployments* icon to view a list of deployments. +. If your deployment is successful (listed with emoji:white_check_mark[1x]), you can click on it and access the deployment page to check the *Swagger UI*, *Open API* specification, and *Metrics* page using DashBuilder. + -- .Serverless deployment page diff --git a/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-github-integration.adoc b/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-github-integration.adoc index 8fac4813..86cb95f4 100644 --- a/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-github-integration.adoc +++ b/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-github-integration.adoc @@ -1,68 +1,82 @@ -= GitHub integration += Integrating your {product_name} project in GitHub using {serverless_logic_web_tools_name} :compat-mode!: // Metadata: :description: {serverless_logic_web_tools_name} github integration :keywords: kogito, workflow, serverless, editor, web, tools, settings, github, integration -The {serverless_logic_web_tools_name} implements a web version of a git client, allowing users to clone, create, commit, push and pull repositories, making it possible to sync workspaces remotely. +The {serverless_logic_web_tools_name} implements a web version of a Git client, enabling you to clone, create, commit, push, and pull repositories. This process synchronizes your workspaces remotely. -This document describes how to configure the integration and sync your projects. +This document describes how you can configure the integration and synchronize your projects. [[proc-setting-github-token-serverless-logic-web-tools]] -== Setting up your GitHub token +== Setting your GitHub token in {serverless_logic_web_tools_name} -Generate a token from your GitHub account settings page and add it to the {serverless_logic_web_tools_name} settings tab. +You can generate a token from your GitHub account and add the token to the {serverless_logic_web_tools_name}. .Prerequisites -* GitHub account. +* You have an account in GitHub. .Procedure -. In the {serverless_logic_web_tools_name}, click on the **Cog wheel** (⚙️) on the top right corner and go to the **GitHub** tab; -. From there, you'll see a link to the GitHub token settings page and the **Token** field; -. Click the link:{github_tokens_url}[link] and create your GitHub token, making sure you select at least the **repo** option. Optionally select **gist** as well, as it will give you the ability to import and update gists; -. Copy the token generated and paste it into the GitHub settings tab on the {serverless_logic_web_tools_name}; -. The contents of the tab should be updated, showing that you're signed into GitHub and have all the permissions required. - +. Go to link:{serverless_logic_web_tools_url}[{serverless_logic_web_tools_name}] web application, and click the *Cogwheel* (⚙️) on the top-right corner of the screen. +. Go to the *GitHub* tab. +. In the *GitHub* tab, click the *Add access token* button and a window will be shown. +. Click *Create a new token* option. ++ +-- +Ensure that you select the *repo* option. +-- +. Optionally, select *gist*, which enables you to import and update gists. +. Copy the generated token and paste it into the *Token* field in {serverless_logic_web_tools_name} GitHub *Settings*. ++ +The contents of the tab are updated and displays that you are signed into the GitHub and contains all the required permissions. [[proc-sync-workspace-github-serverless-logic-web-tools]] -== Syncing your workspaces with GitHub +== Synchronizing your workspaces with GitHub -After configuring your GitHub token you can now sync workspaces with remote repositories. +After your GitHub token is set, you can synchronize your workspaces with remote repositories. .Prerequisites -* You have configured your GitHub token on the {serverless_logic_web_tools_name}. +* Your GitHub token is configured in the {serverless_logic_web_tools_name}. ++ +For more information, see <>. .Procedure -. Create or open a workspace; -. Add or edit files; -. Click **Share -> Github: Create Repository**; -. Name your repository and select if it's going to be **Public** or **Private**; -. Selecting the **Use Quarkus Accelerator** option will create a repository with a base Quarkus project, moving the workspace files to `src/main/resources`. - +. In the {serverless_logic_web_tools_name} web application, create or open a workspace. +. Add or edit the existing files in the workspace. +. Click *Share -> Github: Create Repository*. +. Name your repository and set the repository as *Public* or *Private*. +. (Optional) Select the *Use Quarkus Accelerator* to create a repository with a base Quarkus project and move the workspace files to `src/main/resources` folder. + -- -.Creating a repository for your workspace +.Create a repository for your workspace image::tooling/serverless-logic-web-tools/serverless-logic-web-tools-github-repo.png[] -- -. To update the remote repository with your local changes click on **Sync -> Push**; -. To get new updates from the remote repository click on **Sync -> Pull**; - -Currently, the tool cannot resolve merge conflicts, so make sure to always pull new changes before working on your files. +. Click *Sync -> Push* to update the remote repository with your local changes. +. To get new updates from the remote repository, click *Sync -> Pull*. ++ +[NOTE] +==== +Currently, {serverless_logic_web_tools_name} cannot resolve the merge conflicts. Therefore, ensure that you always pull changes before working on your files. +==== [[proc-import-workspace-github-serverless-logic-web-tools]] == Importing a workspace from GitHub -Let's say you need to work from another computer or use a workspace created by someone else, in these cases importing a workspace from GitHub is useful. In this tutorial, you'll learn how to import these repositories as workspaces on {serverless_logic_web_tools_name}. +You can import a workspace from GitHub in {serverless_logic_web_tools_name} when you need to work from another computer or need to use someone else's workspace. .Prerequisites -* You have configured your GitHub token on the {serverless_logic_web_tools_name}; -* Have a repository with Serverless Logic files. +* Your GitHub token is configured in the {serverless_logic_web_tools_name}. ++ +For more information, see <>. +* You have a repository containing workflow files. .Procedure -. On GitHub, find the repository with your project and copy its URL; -. Back on the {serverless_logic_web_tools_name}, paste the URL to the **Import -> From URL** field and click on **Clone**; -. The page should load your imported project, defaulting to a Serverless Logic file, if present; -. If your GitHub user has access to push to this repository you'll be able to sync changes by clicking on **Sync -> Push**; +. Go to GitHub, find the repository with your project, and copy the repository URL. +. In {serverless_logic_web_tools_name} web application, paste the repository URL in the *Import -> From URL* field and click *Clone*. ++ +The page loads your imported project, defaulting to a workflow file, if present. + +. If applicable, you can push to the imported repository by clicking on the *Sync -> Push*. include::../../../pages/_common-content/report-issue.adoc[] \ No newline at end of file diff --git a/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-integration.adoc b/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-integration.adoc index 62492bf0..6414a653 100644 --- a/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-integration.adoc +++ b/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-integration.adoc @@ -1,69 +1,79 @@ -= OpenShift integration += Integrating your {product_name} project with OpenShift using {serverless_logic_web_tools_name} :compat-mode!: // Metadata: :description: {serverless_logic_web_tools_name} openshift integration :keywords: kogito, workflow, serverless, editor, web, tools, settings, openshift, integration -Integrate with Red Hat® OpenShift®, an enterprise-ready Kubernetes container platform, allowing your projects to be deployed and tested online. +You can integrate your {product_name} project with Red Hat OpenShift. OpenShift is an enterprise-ready Kubernetes container platform, enabling your {product_name} projects to be deployed and tested online. [[proc-setting-kie-sandbox-extended-services-serverless-logic-web-tools]] -== Setting up KIE Sandbox Extended Services +== Setting Extended Services -The KIE Sandbox Extended Services tool is required to proxy requests to an OpenShift instance, thus making it possible to deploy and monitor projects. - -.Prerequisites -* None. +The Extended Services tool is required to proxy requests to an OpenShift instance. Therefore, setting the Extended Services enables you to deploy and monitor your {product_name} projects. .Procedure -. In the {serverless_logic_web_tools_name}, click on the **Cog wheel** (⚙️) on the top right corner and go to the **KIE Sandbox Extended Services** tab; -. If you're not connected you should see the following message: "**You are not connected to KIE Sandbox Extended Services. Click to setup**" as well as a **Host** and **Port** fields filled with `http://localhost` and `21345` respectively; -. Click the link in the message and a new window will appear, with your current operating system already selected and a link to download the latest version of the KIE Sandbox Extended Services; -. Download the file and execute it; (You may need to grant permissions to run the file, depending on your OS and settings!) -. The contents of the tab should be updated, showing that everything is set and you are connected to the KIE Sandbox Extended Services. +. In the {serverless_logic_web_tools_name} web application, click the *Cogwheel* (⚙️) on the top-right corner and go to the *Extended Services* tab. +. In case you are not connected to Extended Services, you see *You are not connected to Extended Services. Click to setup* message. +. Click on the link in the message. ++ +A window appears containing your current operating system as selected and a link to download the latest version of Extended Services. -. Download the KIE Sandbox Extended Services and execute it. +. Download the Extended Services and execute it. + -- You might need to grant permissions to run the file depending on your operating system and settings. [NOTE] ==== -If you are using macOS, you might encounter the `"KIE Sandbox Extended Services" is damaged and can't be opened. You should move it to Bin` while running the application "KIE Sandbox Extended Services". This is due to the overeager https://support.apple.com/en-us/HT202491[approach towards security] by macOS and you can fix it by moving the "KIE Sandbox Extended Services" application out of quarantine. You can execute the `xattr -d com.apple.quarantine /Applications/KIE\ Sandbox\ Extended\ Services.app` command to achieve this. +If you are using macOS, you might encounter the `"Extended Services" is damaged and can't be opened. You should move it to Bin` error message while running the "Extended Services" application. This is due to the overeager https://support.apple.com/en-us/HT202491[approach towards security] by macOS and you can fix it by moving the "Extended Services" application out of quarantine. You can execute the `xattr -d com.apple.quarantine /Applications/KIE\ Sandbox\ Extended\ Services.app` command to achieve this. ==== -After executing the KIE Sandbox Extended Services the content in the *KIE Sandbox Extended Services* is updated and displays that you are connected to the KIE Sandbox Extended Services. +After executing the Extended Services the content in the *Extended Services* is updated and displays that you are connected to the Extended Services. -- [[proc-connecting-openshift-instance-serverless-logic-web-tools]] -== Connecting to your OpenShift instance +== Connecting to OpenShift instance using {serverless_logic_web_tools_name} + +After setting the Extended Services, you can connect to your OpenShift instance to deploy your {product_name} projects with {serverless_logic_web_tools_name}. .Prerequisites -* Have the KIE Sandbox Extended Services tool installed and running; -* Have an OpenShift instance up (you can create a free developer sandbox here link:{openshift_developer_sandbox_url}[OpenShift Developer Sandbox]). +* Extended Services tool is installed and running. +* OpenShift instance is active. ++ +You can create a free developer sandbox. For more information, see link:{openshift_developer_sandbox_url}[OpenShift Developer Sandbox]. .Procedure -. Start by logging into your OpenShift instance console interface; -. You'll need your OpenShift project name (also known as namespace), the API server and an access token: - * For the OpenShift project name look at the **Topology** tab, and in the top left corner you should see your project name; +. Log in to your OpenShift instance console interface. +. In the OpenShift instance console interface, you need your OpenShift project name (also known as namespace), API server, and an access token. + -- -.Getting the OpenShift project name and username menu +* For the OpenShift project name, go to the *Topology* tab and in the top-left corner you see your project name. ++ +.OpenShift project name in OpenShift instance console image::tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-project.png[] --- - * The API server and access token can be obtained by clicking on your username in the top right corner and then on **Copy login command**. A new page will open with your new API Token as well as an `oc cli` login command, from that command copy the **--server=** value; + +* To obtain the API server and access token, click on your username and *Copy login command*. + --- -.Getting the OpenShift access token and API server +A new page opens containing your new API token along with `oc cli` login command. From the `oc cli` command, copy the value of `--server=`. ++ +.OpenShift access token and API server image::tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-info.png[] -- -. Having all that information, go back to the {serverless_logic_web_tools_name}, click on the **Cog wheel** (⚙️) on the top right corner and go to the **OpenShift** tab; -. Fill the **Namespace (project)** field with the OpenShift instance project name; -. Fill the **Host** field with the value copied from the **--server** flag; -. Fill the **Token** field with the API Token; -. Now you can click on **Connect** and if everything is correct the tab should update to show **You're connected to OpenShift**. -Now you should be ready to start deploying your projects with the {serverless_logic_web_tools_name}, check how to do it xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-deploy-projects.adoc[here]. +. Go to the {serverless_logic_web_tools_name} web application, click the *Cogwheel* (⚙️) on the top-right corner and go to the *OpenShift* tab. +. Click the *Add connection* button and a window will be shown. +. Enter your OpenShift project name in the *Namespace (project)* field. +. Enter the value copied value of `--server` flag in the *Host* field. +. Enter the value of API token in the *Token* field. +. Click *Connect*. ++ +If the entered values are correct, then the tab updates and displays *You're connected to OpenShift* message. + +After connecting to OpenShift, you are ready to deploy your {product_name} projects using {serverless_logic_web_tools_name}. For more information about deploying your projects, see xref:tooling/serverless-logic-web-tools/serverless-logic-web-tools-deploy-projects.adoc[Deploying your {product_name} projects using {serverless_logic_web_tools_name}]. -Note: If your OpenShift instance uses self-signed certificates you may need to enable `InsecureSkipVerify` on KIE Sandbox Extended Services. +[NOTE] +==== +If your OpenShift instance uses self-signed certificates, then you must enable the `InsecureSkipVerify` on Extended Services. +==== include::../../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.adoc b/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.adoc index f8a5e451..e80b1cf5 100644 --- a/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.adoc +++ b/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.adoc @@ -4,36 +4,44 @@ :description: Kogito {serverless_logic_web_tools_name} :keywords: kogito, workflow, serverless, editor, logic, web, tools -The link:{serverless_logic_web_tools_url}[{serverless_logic_web_tools_name}] is a web application that allows authors to create and sync {product_name}, Decision and Dashbuilder files, all in a single interface, while also providing the integrations needed to deploy and test {product_name} models in development mode. +The link:{serverless_logic_web_tools_url}[{serverless_logic_web_tools_name}] is a web application that enables you to create and synchronize your {product_name}, decision files, and Dashbuilder files in a single interface. Also, the {serverless_logic_web_tools_name} application provides the integrations that are needed to deploy and test the {product_name} models in development mode. -.Home page +.Home page of {serverless_logic_web_tools_name} image::tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.png[] -[[ref-serverless-logic-web-tools-features]] -== What's inside? +The {serverless_logic_web_tools_name} provides three different editors for your projects, including -The {serverless_logic_web_tools_name} provides 3 different editors for your projects: +* {product_name} editor for `.sw.json` or `.sw.yaml|yml` files +* Serverless Decision editor for `.yard.yaml|yml` files +* Dashbuilder editor for `dash.yaml|yml` files -* {product_name} editor, for `.sw.json` or `.sw.yaml|yml` files; -* Serverless Decision editor, for `.yard.json` or `.yard.yaml|yml` files; -* Dashbuilder editor, for `dash.yaml|yml` files. +[[proc-create-workflow-model-web-tools]] +== Creating a workflow model in {serverless_logic_web_tools_name} -*Feature Preview*: For an improved experience when previewing your {product_name}, check out xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-enable-kogito-swf-visualization.adoc[how to enable the new Kogito Serverless Workflow Visualization diagram]. +You can start by creating a new model from scratch or using one of the samples provided. -== Getting started - -Not much needs to be done to start creating your projects in the web tool. You can start by creating a new model from scratch or using one of the samples provided. - -On the home page, choose the type of model you want to create, then click the button corresponding to the file type you wish (JSON or YAML). - -.Create +.Procedure +. Go to the link:{serverless_logic_web_tools_url}[{serverless_logic_web_tools_name}] web application. +. On the Home page, select the type of model you want to create and click the button corresponding to the file type you wish such as JSON or YAML. ++ +-- +.Create section in {serverless_logic_web_tools_name} image::tooling/serverless-logic-web-tools/serverless-logic-web-tools-create.png[] -A new workspace will be created, containing a single file of the chosen type. The file is created with the name "Untitled", but clicking its name allows you to rename it to your liking. +A new workspace is created, containing a single file named as _Untitled_ of the selected type. Click on the name to rename the file. +-- + +. Edit your workflow file, which updates the preview on the right-side of the editor. ++ +-- +The workflow files in {serverless_logic_web_tools_name} are saved automatically after each change. The files are persisted in the browser, but you can synchronize the file using GitHub integration. For more information about GitHub integration, see xref:tooling/serverless-logic-web-tools/serverless-logic-web-tools-github-integration.adoc[Integrating your {product_name} project in GitHub using {serverless_logic_web_tools_name}]. +-- -Editing workflow files will update the preview on the right-hand side of the editor and all files are saved automatically on every change. +== Additional resources -The files are persisted in the browser, but syncing can be done with the xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-github-integration.adoc[Github integration]. +* xref:tooling/serverless-logic-web-tools/serverless-logic-web-tools-openshift-integration.adoc[Integrating your {product_name} project with OpenShift using {serverless_logic_web_tools_name}] +* xref:tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.adoc[Integrating with Red Hat OpenShift Application and Data Services] +* xref:tooling/serverless-logic-web-tools/serverless-logic-web-tools-deploy-projects.adoc[Deploying your {product_name} projects using {serverless_logic_web_tools_name}] include::../../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.adoc b/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.adoc index 6c25f737..f1e13dfd 100644 --- a/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.adoc +++ b/modules/serverless-logic/pages/tooling/serverless-logic-web-tools/serverless-logic-web-tools-redhat-application-services-integration.adoc @@ -1,100 +1,100 @@ -= Red Hat OpenShift Application and Data Services integration += Integrating with Red Hat OpenShift Application and Data Services :compat-mode!: // Metadata: :description: {serverless_logic_web_tools_name} Red Hat OpenShift Application and Data Services integration :keywords: kogito, workflow, serverless, editor, web, tools, settings, red hat, application, data, services, integration -Some {serverless_logic_web_tools_name} features require integration with Red Hat OpenShift Application and Data Services. Uploading OpenAPI specifications to a Service Registry and deploying {product_name} that required an Apache Kafka stream are some of the examples. +Some of the features in {serverless_logic_web_tools_name} require integration with Red Hat OpenShift Application and Data Services. Consider uploading OpenAPI specifications to a service registry and fetching its service functions as examples of integration with Red Hat OpenShift Application and Data Services. -On this page, you'll configure all the settings needed for complete integration. +This document describes how you can configure the required settings to complete the integration with Red Hat OpenShift Application and Data Services. -[[proc-setting-service-account-serverless-logic-web-tools]] -== Setting up a Service Account +[[proc-create-service-account-serverless-logic-web-tools]] +== Creating a service account in Red Hat OpenShift application and Data Services -Create or use a Service Account from your Red Hat OpenShift Application and Data Services console and add it to the {serverless_logic_web_tools_name} settings tab. +You can create or use a service account from your Red Hat OpenShift Application and Data Services console and add the service account to the {serverless_logic_web_tools_name}. .Prerequisites -* Access to Red Hat OpenShift Application and Data Services console. +* You have access to the Red Hat OpenShift Application and Data Services console. .Procedure -. Create a Service Account on Red Hat Openshift Application and Data Services console (if you already have one, skip this step): - * Go to link:{openshift_application_data_services_service_account_url}[Service Accounts | Red Hat OpenShift Application and Data Services]; - * Click on **Create service account**; - * In the window that opens up type a Service account name; - * Click on **Create**. - * A new modal will show up with your **Client ID** and **Client Secret**, copy those to somewhere safe and save it. - * Check the **I have copied the client ID and secret** checkbox and click on **Close**. -. If you skipped the previous step, find your saved **Client ID** and **Client Secret** as they will be necessary for the next steps; -. In the {serverless_logic_web_tools_name}, click on the **Cog wheel** (⚙️) on the top right corner and go to the **Service Account** tab; -. Paste your **Client ID** and **Client Secret** in the respective fields; -. Click on **Apply**. -. The tab contents should be updated, showing **Your Service Account information is set**. - - -[[proc-setting-service-registry-serverless-logic-web-tools]] -== Setting up a Service Registry - -Create or use a Service Registry instance from your Red Hat OpenShift Application and Data Services console and add it to the {serverless_logic_web_tools_name} settings tab. - -.Prerequisites -* Access to Red Hat OpenShift Application and Data Services console; -* A Service Account. - -.Procedure -. Create a Service Registry instance on Red Hat Openshift Application and Data Services console (if you already have one, skip this step): - * Go to link:{openshift_application_data_services_service_registry_url}[Service Registry | Red Hat OpenShift Application and Data Services]; - * Click on **Create Service Registry instance**; - * In the window that opens up type a Service Registry instance name; - * Click on **Create**; - * The list of instances will be updated with your new instance; - * Find it in the list and click on its name; - * Go to the **Settings** tab and click on **Grant access**; - * From the dropdown, select your Service Account desired (the same you configured on the {serverless_logic_web_tools_name}); - * Select a role for that Service Account (has to be Manager or Administrator, to have read and write access); - * Click on **Save**; - * On the top right-hand corner there should be a triple dotted menu, click on it and then on **Connection**; - * A drawer should open with all the connection and authentication information you'll need; - * Copy the **Core Registry API** value. -. If you skipped the previous step, find your Service Registry instance **Core Registry API** as it will be necessary for the next steps; -. In the {serverless_logic_web_tools_name}, click on the **Cog wheel** (⚙️) on the top right corner and go to the **Service Registry** tab; -. Input a name for your registry, preferably the same one you used when creating the Service Registry instance; -. Paste your **Core Registry API** in the respective field; -. Click on **Apply**. -. The tab contents should be updated, showing **Your Service Registry information is set**. - -[[proc-setting-apache-kafka-serverless-logic-web-tools]] -== Setting up Streams for Apache Kafka - -Create or use a Kafka instance from your Red Hat OpenShift Application and Data Services console and add it to the {serverless_logic_web_tools_name} settings tab. +. To create a service account in Red Hat Openshift Application and Data Services, perform the following steps: ++ +-- +[NOTE] +==== +You can skip this step if you already have a service account. +==== +.. Go to link:{openshift_application_data_services_service_account_url}[Service Accounts | Red Hat OpenShift Application and Data Services]. +.. Click *Create service account*. +.. In the *Create a service account* window, enter a service account name in the *Short description* field. +.. Click *Create*. ++ +A modal displaying your *Client ID* and *Client Secret* appears. +.. Copy and save the Client ID and Client Secret. +.. Check the *I have copied the client ID and secret* checkbox and click *Close*. +-- + +. If you already have a service account, find your *Client ID* and *Client Secret*. +. In the {serverless_logic_web_tools_name}, click the *Cogwheel* (⚙️) on the top-right corner and go to the *Service Account* tab. +. Click on the *Add service account* button and a window will be shown. +. Enter your *Client ID* and *Client Secret* in the respective fields. +. Click *Apply*. ++ +The content in the *Service Account* tab updates and displays *Your Service Account information is set* message. + + +[[proc-create-service-registry-serverless-logic-web-tools]] +== Creating a Service Registry in Red Hat OpenShift application and Data Services + +You can create or use a Service Registry instance from your Red Hat OpenShift Application and Data Services console and add the Service Registry to {serverless_logic_web_tools_name}. .Prerequisites -* Access to Red Hat OpenShift Application and Data Services console; +* You have access to the Red Hat OpenShift Application and Data Services console. +* You have created a service account. ++ +For information about creating a service account, see <>. .Procedure -. Create a Kafka instance on Red Hat Openshift Application and Data Services console (if you already have one, skip this step): - * Go to link:{openshift_application_data_services_apache_kafka_url}[Streams for Apache Kafka | Red Hat OpenShift Application and Data Services]; - * Click on **Create Kafka instance**; - * In the window that opens up type a Kafka instance name; - * Fill the other fields to your liking, or leave them with the default values; - * Click on **Create instance**; - * Reload the page for the list of instances to be updated with your new instance; - * Wait for the status to be updated to **Ready**; - * Find it in the list and click on its name; - * Go to the **Topics** tab and create a new topic, you'll need its name later; - * Go to the **Access** tab; - * Click on **Manage Access** and select **All Accounts** or your Service Account; - * Add the following permissions: - ** _Consumer group is " * " | Allow All | All Accounts_; - ** _Topic is " * " | Allow All | All Accounts_; - * On the top right-hand corner there should be a triple dotted menu, click on it and then on **Connection**; - * Copy the **Bootstrap server** value. -. If you skipped the previous step, find your Kafka instance **Bootstrap server** value as it will be necessary for the next steps; -. In the {serverless_logic_web_tools_name}, click on the **Cog wheel** (⚙️) on the top right corner and go to the **Streams for Apache Kafka** tab; -. Paste the **Bootstrap server** value you copied before to the **Bootstrap Server** field; -. Type the name of the topic you created on the **Topic** field; -. Click on **Apply**. -. The tab contents should be updated, showing **Your Streams for Apache Kafka information is set**. - -Note: using these broad settings is meant to make it easy to configure but you can set up specific Service Accounts, Topics, and Consumer Groups as well. +. To create a Service Registry instance in Red Hat Openshift Application and Data Services console, perform the following steps: ++ +-- +[NOTE] +==== +You can skip this step if you already have a Service Registry instance. +==== +.. Go to link:{openshift_application_data_services_service_registry_url}[Service Registry | Red Hat OpenShift Application and Data Services]. +.. Click *Create Service Registry instance* button. +.. In the *Create a Service Registry instance* window, enter a Service Registry instance name and click *Create*. ++ +The list of Service Registry instances updates with your instance. +.. Find the Service Registry instance you created in the list and click on the instance. +.. Go to the *Settings* tab and click on *Grant access*. +.. In the drop-down, select the service account you created in the previous procedure. +.. Select a role for your service account. ++ +[IMPORTANT] +==== +You must select the role as Manager or Administrator to have the read and write access. +==== + +.. Click *Save*. +.. Click on the menu on the top-right corner of the screen. +.. Click *Connection*. ++ +A drawer opens containing the required connection and authentication information. + +.. Copy the value of *Core Registry API*. +-- + +. If you already have a Service Registry, find the value of *Core Registry API* of your Service Registry. +. In the {serverless_logic_web_tools_name} web application, click the *Cogwheel* (⚙️) on the top-right corner and go to the *Service Registry* tab. +. Click on the *Add service registry* button and a window will be shown. +. Enter a name for your registry. ++ +You can enter the same name that you used while creating the Service Registry instance. + +. Enter the value of *Core Registry API* and click *Apply*. ++ +The content in the *Service Registry* tab updates and displays *Your Service Registry information is set* message. include::../../../pages/_common-content/report-issue.adoc[] \ No newline at end of file diff --git a/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-chrome-extension.adoc b/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-chrome-extension.adoc index 5422ff50..dbc75e7e 100644 --- a/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-chrome-extension.adoc +++ b/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-chrome-extension.adoc @@ -1,17 +1,17 @@ -= Chrome GitHub extension for Serverless Workflow editor += Chrome extension for Serverless Workflow editor on GitHub :compat-mode!: // Metadata: -:description: Chrome GitHub extension for Serverless Workflow editor +:description: Chrome extension for Serverless Workflow editor on GitHub :keywords: kogito, workflow, serverless, editor, chrome extension, extension // links: :kogito_swf_editor_chrome_webstore_url: https://chrome.google.com/webstore/detail/serverless-workflow-edito/ijamhkegfogkfnmfnfkjdiadomlphfej The Google Chrome extension for the Serverless Workflow editor enables you to view and edit link:{spec_website_url}[CNCF Serverless Workflow specification] files in GitHub. -This document describes how to install and use the Chrome GitHub extension for Serverless Workflow editor. +This document describes how to install and use the Chrome extension for Serverless Workflow editor on GitHub. [[proc-install-chrome-extension-sw-editor]] -== Installing the Chrome GitHub extension for Serverless Workflow editor +== Installing the Chrome extension for Serverless Workflow editor on GitHub You can install the Chrome extension for the Serverless Workflow editor to view and edit the workflow specification files in GitHub. @@ -39,14 +39,14 @@ The Chrome extension for Serverless Workflow editor is successfully installed. -- [[proc-using-chrome-extension-sw-editor]] -== Using the Chrome GitHub extension for Serverless Workflow editor +== Using the Chrome extension for Serverless Workflow editor on GitHub After installing the Chrome extension for the Serverless Workflow editor, you can use the editor to edit and view the workflow files in GitHub. .Prerequisites * You have installed the Serverless Workflow editor extension in Chrome. + -For more information, see <>. +For more information, see <>. .Procedure . Create a workflow file (`.sw.json` or `.sw.yaml`). diff --git a/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-overview.adoc b/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-overview.adoc index 4fdd1d11..c07a9ed9 100644 --- a/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-overview.adoc +++ b/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-overview.adoc @@ -1,7 +1,7 @@ = Serverless Workflow editor :compat-mode!: // Metadata: -:description: Kogito Serverless Workflow editor +:description: {product_name} editor :keywords: kogito, workflow, serverless, editor You can use the Serverless Workflow editor to edit the link:{spec_website_url}[CNCF Serverless Workflow specification] files in the code editor and view the workflow diagram in the diagram visualizer. When you make changes to the specification files in the editor, you see the workflow diagram is updated with the new changes. @@ -26,15 +26,15 @@ The editor performs validation using JSON schema to the workflow file structure The following extensions are provided that you can use to design the workflow files: -* xref:serverless-logic:tooling/serverless-workflow-editor/swf-editor-vscode-extension.adoc[VS Code extension] -* xref:serverless-logic:tooling/serverless-workflow-editor/swf-editor-chrome-extension.adoc[Chrome GitHub extension] +* xref:tooling/serverless-workflow-editor/swf-editor-vscode-extension.adoc[VS Code extension] +* xref:tooling/serverless-workflow-editor/swf-editor-chrome-extension.adoc[Chrome GitHub extension] -You can also try it at the xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.adoc[{serverless_logic_web_tools_name}]. +You can also try it at the xref:tooling/serverless-logic-web-tools/serverless-logic-web-tools-overview.adoc[{serverless_logic_web_tools_name}]. == Additional resources -* xref:serverless-logic:getting-started/cncf-serverless-workflow-specification-support.adoc[CNCF Serverless Workflow specification] +* xref:core/cncf-serverless-workflow-specification-support.adoc[CNCF Serverless Workflow specification] include::../../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-vscode-extension.adoc b/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-vscode-extension.adoc index 3d197e8c..8d446e0c 100644 --- a/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-vscode-extension.adoc +++ b/modules/serverless-logic/pages/tooling/serverless-workflow-editor/swf-editor-vscode-extension.adoc @@ -4,7 +4,7 @@ :description: VS Code Extension for Serverless Workflow editor :keywords: kogito, workflow, serverless, editor, VS Code, extension // links: -:kogito_swf_editor_vscode_marketplace_url: https://marketplace.visualstudio.com/items?itemName=redhat.vscode-extension-serverless-workflow-editor +:kogito_swf_editor_vscode_marketplace_url: https://marketplace.visualstudio.com/items?itemName=kie-group.swf-vscode-extension :red_hat_sso_login_url: https://sso.redhat.com/auth/realms/redhat-external/login-actions/registration?client_id=cloud-services&tab_id=Rd8aj14U3Xk :red_hat_auth_vscode_marketplace_url: https://marketplace.visualstudio.com/items?itemName=redhat.vscode-redhat-account :red_hat_hybrid_cloud_console_url: https://console.redhat.com/ @@ -27,19 +27,19 @@ image::tooling/serverless-workflow-editor/swf-editor-vscode-extension-page.png[] .Procedure . You can install the VS Code extension for Serverless Workflow editor using one of the following methods: -* *Go to Visual Studio Marketplace*: Go to link:{kogito_swf_editor_vscode_marketplace_url}[Serverless Workflow Editor] extension page in Visual Studio Marketplace and click *Install*. +* *Go to Visual Studio Marketplace*: Go to link:{kogito_swf_editor_vscode_marketplace_url}[{serverless_workflow_vscode_extension_name}] extension page in Visual Studio Marketplace and click *Install*. + -- -.Serverless Workflow Editor in Visual Studio Marketplace -image::tooling/serverless-workflow-editor/swf-editor-vscode-market-place.png[] +.{serverless_workflow_vscode_extension_name} in Visual Studio Marketplace +image::tooling/serverless-workflow-editor/swf-editor-vscode-marketplace.png[] -- * *Download VSIX file*: + -- -.. Download the `vscode_extension_serverless_workflow_editor_VERSION.vsix` file from the link:{kie_tools_releases_page_url}[kie-tools] releases page in GitHub. +.. Download the latest {product_name} VS Code extension VSIX file from the link:{kie_tools_releases_page_url}[kie-tools] releases page in GitHub. -.. Click *Install from VSIX* option from the extensions menu and install the `vscode_extension_serverless_workflow_editor_VERSION.vsix` file in VS Code. +.. Click *Install from VSIX* option from the extensions menu and install the `serverless_workflow_vscode_extension_VERSION.vsix` file in VS Code. .Install VS Code extension using VSIX image::tooling/serverless-workflow-editor/swf-editor-vscode-vsix-package.png[] From 9246fdd70c061fb3cdc0e20440435f0ef6e290a1 Mon Sep 17 00:00:00 2001 From: Dominik Hanak Date: Thu, 7 Dec 2023 08:57:40 +0100 Subject: [PATCH 05/26] SRVLOGIC-184: Update Service Orchestration section for TP2 --- modules/ROOT/nav.adoc | 4 +- ...onfiguring-openapi-services-endpoints.adoc | 20 +-- ...hestration-of-asyncapi-based-services.adoc | 165 ------------------ .../orchestration-of-grpc-services.adoc | 4 +- ...chestration-of-openapi-based-services.adoc | 16 +- .../working-with-openapi-callbacks.adoc | 128 ++++++++++++++ 6 files changed, 150 insertions(+), 187 deletions(-) delete mode 100644 modules/serverless-logic/pages/service-orchestration/orchestration-of-asyncapi-based-services.adoc create mode 100644 modules/serverless-logic/pages/service-orchestration/working-with-openapi-callbacks.adoc diff --git a/modules/ROOT/nav.adoc b/modules/ROOT/nav.adoc index 96c4fa0f..bd86c784 100644 --- a/modules/ROOT/nav.adoc +++ b/modules/ROOT/nav.adoc @@ -38,8 +38,8 @@ ***** xref:serverless-logic:tooling/serverless-logic-web-tools/serverless-logic-web-tools-enable-kogito-swf-visualization.adoc[Kogito Serverless Workflow Visualization] *** Service Orchestration **** xref:serverless-logic:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services] -**** xref:serverless-logic:service-orchestration/configuring-openapi-services-endpoints.adoc[Configuring the OpenAPI services endpoints] -**** xref:serverless-logic:service-orchestration/orchestration-of-asyncapi-based-services.adoc[Orchestrating the AsyncAPI services] +***** xref:serverless-logic:service-orchestration/configuring-openapi-services-endpoints.adoc[Configuring the OpenAPI services endpoints] +***** xref:serverless-logic:service-orchestration/working-with-openapi-callbacks.adoc.adoc[OpenAPI callback in {product_name}] **** xref:serverless-logic:service-orchestration/orchestration-of-grpc-services.adoc[Orchestration of gRPC based services] *** Eventing **** xref:serverless-logic:eventing/handling-events-on-workflows.adoc[Event State] diff --git a/modules/serverless-logic/pages/service-orchestration/configuring-openapi-services-endpoints.adoc b/modules/serverless-logic/pages/service-orchestration/configuring-openapi-services-endpoints.adoc index 6be68557..51332f5f 100644 --- a/modules/serverless-logic/pages/service-orchestration/configuring-openapi-services-endpoints.adoc +++ b/modules/serverless-logic/pages/service-orchestration/configuring-openapi-services-endpoints.adoc @@ -1,4 +1,4 @@ -= Configuring the OpenAPI services endpoints += Configuring OpenAPI Services Endpoints :compat-mode!: // Metadata: @@ -10,7 +10,7 @@ This document describes how you can configure OpenAPI service endpoints in {product_name}. [[con-config-openapi-services-endpoints]] -== Overview +== Overview {product_name} leverages MicroProfile REST Client to invoke OpenAPI services. Therefore, you can configure the OpenAPI services by following the MicroProfile Config specification. For the list of properties to configure in the MicroProfile REST Client specification, see link:https://download.eclipse.org/microprofile/microprofile-rest-client-2.0/microprofile-rest-client-spec-2.0.html#mpconfig[Support for MicroProfile Config] in MicroProfile REST Client documentation. @@ -115,7 +115,7 @@ A Kubernetes service endpoint can be used as a service URL if the target service === Using URI alias -As an alternative to `kogito.sw.operationIdStrategy`, you can assign an alias name to an URI by using `workflow-uri-definitions` custom link:{spec_doc_url}#extensions[extension]. Then you can use that alias as configuration key and in function definitions. +As an alternative to `kogito.sw.operationIdStrategy`, you can assign an alias name to an URI by using `workflow-uri-definitions` custom link:{spec_doc_url}#extensions[extension]. Then you can use that alias as configuration key and in function definitions. .Example workflow [source,json] @@ -126,12 +126,12 @@ As an alternative to `kogito.sw.operationIdStrategy`, you can assign an alias na "remoteCatalog": "https://my.remote.host/apicatalog/apis/123/document", } } - ], + ], "functions": [ { "name": "operation1", "operation": "remoteCatalog#operation1" - }, + }, { "name": "operation2", "operation": "remoteCatalog#operation2" @@ -322,20 +322,20 @@ You can access the `real-stock-service` service at `http://localhost:8383/`. . In a separate command terminal window, run the `fake-stock-service` service: + -- -.Run `fake-stock-service` service +.Run `fake-stock-service` service [source,shell] ---- cd fake-stock-service mvn quarkus:dev -Ddebug=false ---- -You can access the`fake-stock-service` service at `http://localhost:8181/`. +You can access the `fake-stock-service` service at `http://localhost:8181/`. -- [[proc-config-openapi-services-running-sw-application-in-development-mode]] === Running workflow application in development mode -When you define `%dev.quarkus.rest-client.stock_svc_yaml.url=http://localhost:8181/`, the `fake-stock-service` service is used in the development mode and you get the same result every time you run the workflow. Using this example, you can run the workflow application in development mode. +When you define `%dev.quarkus.rest-client.stock_svc_yaml.url=http://localhost:8181/`, the `fake-stock-service` service is used in the development mode and you get the same result every time you run the workflow. Using this example, you can run the workflow application in development mode. .Prerequisites * Services that the workflow application sends requests to are started. @@ -479,7 +479,7 @@ Note that, in the previous example, you overwrote the property defined in the `a == Additional resources -* xref:serverless-logic:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services] +* xref:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services] * link:{quarkus-profiles-url}[Quarkus configuration guide] -include::../../pages/_common-content/report-issue.adoc[] +include::../../pages/_common-content/report-issue.adoc[] \ No newline at end of file diff --git a/modules/serverless-logic/pages/service-orchestration/orchestration-of-asyncapi-based-services.adoc b/modules/serverless-logic/pages/service-orchestration/orchestration-of-asyncapi-based-services.adoc deleted file mode 100644 index 809fe1a7..00000000 --- a/modules/serverless-logic/pages/service-orchestration/orchestration-of-asyncapi-based-services.adoc +++ /dev/null @@ -1,165 +0,0 @@ -= Orchestrating the AsyncAPI services -:compat-mode!: -// Metadata: -:description: Orchestration of AsyncAPI based services -:keywords: kogito, workflow, serverless, AsyncApi, quarkiverse -// links: -:async_api_spec_url: https://www.asyncapi.com/docs/reference/specification/v2.0.0 -:async_quarkiverse_url: https://github.com/quarkiverse/quarkus-asyncapi -// Referenced documentation pages. -:kafka_config: xref:eventing/consume-producing-events-with-kafka.adoc -:knative_config: xref:eventing/consume-produce-events-with-knative-eventing.adoc -:event_states: xref:eventing/handling-events-on-workflows.adoc - -This document describes how to trigger and publish events using an link:{async_api_spec_url}[AsyncAPI] specification file. -Underneath, {product_name} uses the link:{async_quarkiverse_url}[AsyncAPI Quarkiverse extension]. -This extension automatically generates all the required link:{smallrye_messaging_url}[Smallrye] properties to make {product_name} work with the servers declared in the AsyncAPI file. Therefore, you do not need to add any property specific to your event broker to make AsyncAPI work. This is a huge advantage over regular {event_states}[event states], where whether using {kafka_config}[Kafka] or {knative_config}[Knative], you have to provide additional configuration - -[NOTE] -==== -AsyncAPI Quarkiverse extension only supports `kafka` and `http` protocols at the moment. -==== - - -== Consuming an event - -Let's assume there is an AsyncAPI specification file called `asyncAPI.yaml`, located in the classpath of your project. - -This file contains a `servers` definition which `protocol` is Kafka: - -.Example of an AsyncAPI kafka server definition -[source,yaml] ----- -servers: - development: - url: localhost:9092 - description: Development server - protocol: kafka - protocolVersion: '1.0.0' ----- - -and a subscription channel named `wait`: - -.Example of an AsyncAPI subscribing channel definition -[source,yaml] ----- -channels: - wait: - description: A message channel - subscribe: - operationId: consumeWait - summary: Get messages - message: - $ref: '#/components/messages/message' ----- - -You can define a function in your workflow, of type `asyncapi`, that points to `consumerWait` operationId: - -.Example of an AsyncAPI subscribing function definition -[source,json] ----- -{ - "functions": [ - { - "name": "consumeEvent", - "type": "asyncapi", - "operation": "asyncAPI.yaml#consumeWait" - } - ] -} ----- - -[NOTE] -==== -Remember that, as happens with `REST` and `RPC` types, the URI part of the `operation` property supports `http`, `https`, and `file` schemas. If no schema is present, it assumes the specification file is on the project classpath. -==== - -Once the function is defined, you can invoke it within an `operation` state: - -.Example of an AsyncAPI subscribing function invocation -[source,json] ----- - { - "name": "waitForEvent", - "type": "operation", - "actions": [ - { - "functionRef": "consumeEvent" - } - ] - } ----- - -When your flow reach the `waitForEvent` state, it will stop until it receives a CloudEvent published over the Kafka topic `wait`. - -== Publishing an event - -Let's assume there is an AsyncAPI specification file called `asyncAPI.yaml`, located in the classpath of your project. - -This file contains a `servers` definition which `protocol` is HTTP: - -.Example of an AsyncAPI http server definition -[source,yaml] ----- -servers: - development: - url: localhost:8080 - description: Development server - protocol: http - protocolVersion: '1.0.0' ----- - -and a publishing channel named `resume`: - -.Example of an AsyncAPI publishing channel definition -[source,yaml] ----- -channels: - resume: - description: A message channel - publish: - operationId: sendResume - summary: Get messages - message: - $ref: '#/components/messages/message' ----- - -You can define a function in your workflow, of type `asyncapi`, that point to `sendResume` operationId: - -.Example of an AsyncAPI publishing function definition -[source,json] ----- -{ - "functions": [ - { - "name": "sendResume", - "type": "asyncapi", - "operation": "asyncAPI.yaml#sendResume" - } - ] -} ----- - -Once the function is defined, you can invoke it within an `operation` state: - -.Example of an AsyncAPI publishing function invocation -[source,json] ----- - { - "name": "sendEvent", - "type": "operation", - "actions": [ - { - "functionRef": "sendResume", - "arguments" : { - "name" : "Javierito" - } - } - ] - } ----- - -When your flow reach the `sendEvent` state, it will send an event to the endpoint `http://localhost:8080/resume`, with the payload `{"name":"Javierito"}` - - -include::../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/service-orchestration/orchestration-of-grpc-services.adoc b/modules/serverless-logic/pages/service-orchestration/orchestration-of-grpc-services.adoc index 21136dc4..aec73107 100644 --- a/modules/serverless-logic/pages/service-orchestration/orchestration-of-grpc-services.adoc +++ b/modules/serverless-logic/pages/service-orchestration/orchestration-of-grpc-services.adoc @@ -1,4 +1,4 @@ -= Orchestrating the gRPC based services += Orchestrating gRPC based Services :compat-mode!: // Metadata: :description: Understanding JQ expressions @@ -161,7 +161,7 @@ If, for any reason, your default value is semantically valid and you want the va mvn compile exec:java -Dexec.mainClass="org.kie.kogito.examples.sw.greeting.GreeterService" ---- -. Once the server is running, you must navigate to the `serverless-workflow-greeting-client-rpc-quarkus` directory in a separate command terminal and run the workflow application by entering the following command: +. Once the server is running, you must navigate to the `serverless-workflow-greeting-client-rpc-quarkus` directory in a separate command terminal and run the workflow application by entering the following command: + [source,shell] ---- diff --git a/modules/serverless-logic/pages/service-orchestration/orchestration-of-openapi-based-services.adoc b/modules/serverless-logic/pages/service-orchestration/orchestration-of-openapi-based-services.adoc index 600fbebb..8d10ea4e 100644 --- a/modules/serverless-logic/pages/service-orchestration/orchestration-of-openapi-based-services.adoc +++ b/modules/serverless-logic/pages/service-orchestration/orchestration-of-openapi-based-services.adoc @@ -1,4 +1,4 @@ -= Orchestrating the OpenAPI services += Orchestrating OpenAPI Services :compat-mode!: // Metadata: :description: Orchestration of OpenAPI based services @@ -15,13 +15,13 @@ :quarkus_rest_client_url: https://quarkus.io/guides/rest-client :mp_config_env_vars_url: https://github.com/eclipse/microprofile-config/blob/master/spec/src/main/asciidoc/configsources.asciidoc#environment-variables-mapping-rules // Referenced documentation pages. -:getting-familiar-with-our-tooling: xref:serverless-logic:getting-started/getting-familiar-with-our-tooling.adoc -:create-your-first-workflow-service: xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc -:build-workflow-image-with-quarkus-cli: xref:serverless-logic:cloud/quarkus/build-workflow-image-with-quarkus-cli.adoc -:understanding-jq-expressions: xref:serverless-logic:core/understanding-jq-expressions.adoc -:configuring-openapi-services-endpoints: xref:serverless-logic:service-orchestration/configuring-openapi-services-endpoints.adoc -:camel-k-integration: xref:serverless-logic:integrations/camel-k-integration.adoc -:authention-support-for-openapi-services: xref:serverless-logic:security/authention-support-for-openapi-services.adoc +:getting-familiar-with-our-tooling: xref:getting-started/getting-familiar-with-our-tooling.adoc +:create-your-first-workflow-service: xref:getting-started/create-your-first-workflow-service.adoc +:build-workflow-image-with-quarkus-cli: xref:cloud/quarkus/build-workflow-image-with-quarkus-cli.adoc +:understanding-jq-expressions: xref:core/understanding-jq-expressions.adoc +:configuring-openapi-services-endpoints: xref:service-orchestration/configuring-openapi-services-endpoints.adoc +:camel-k-integration: xref:integrations/camel-k-integration.adoc +:authention-support-for-openapi-services: xref:security/authention-support-for-openapi-services.adoc This document describes how to call REST services using an link:{open_api_spec_url}[OpenAPI] specification file. diff --git a/modules/serverless-logic/pages/service-orchestration/working-with-openapi-callbacks.adoc b/modules/serverless-logic/pages/service-orchestration/working-with-openapi-callbacks.adoc new file mode 100644 index 00000000..9c997e9b --- /dev/null +++ b/modules/serverless-logic/pages/service-orchestration/working-with-openapi-callbacks.adoc @@ -0,0 +1,128 @@ += OpenAPI Callback in {product_name} + +:compat-mode!: +// Metadata: +:description: Working with openapi callbacks +:keywords: kogito, workflow, serverless, openapi, callback, event + +This document describes the link:{open_api_spec_url}#callback-object[OpenAPI Callback] and related examples. Also, it covers the difference between OpenAPI Callback and the Serverless Workflow Callback state. The Serverless Workflow callback state can be implemented using both the OpenAPI callback and the Callback state functionalities. Both the functionalities perform an action and wait for an event to be produced as a result of the action to resume the workflow, but each of them follows a different approach in achieving it. Therefore, both OpenAPI callback and the Callback state approaches are suitable to perform _fire & wait-for-result_ operations. + +The OpenAPI callback is an asynchronous, out-of-band request that your service will send to some other service in response to specific events. In contrast, the Callback state performs an action that triggers an external activity/service which is responsible for sending a cloud event to the workflow. Both ways aim to send an event to the workflow to resume the flow. + +As mentioned in the link:{open_api_spec_url}#callback-object[OpenAPI Callback document], when the workflow makes an asynchronous service call, you must provide the callback URL in the request body. The external service invokes the callback URL and sends a link:{cloud_events_url}[CloudEvent] to the workflow. + +From a workflow perspective, asynchronous service indicates that the control is returned to the caller immediately without waiting for the action to be completed. Once the action is completed, a link:{cloud_events_url}[CloudEvent] needs to be published to resume the workflow. + +For the workflow to identify the published CloudEvent it is waiting for, the external service developer includes the workflow instance ID in the CloudEvent header or uses the xref:eventing/event-correlation-with-workflows.adoc[Event correlation]. The following figure displays the process: + +image::eventing/callbacks-explained.png[] + +The workflow correlation described in this document focuses on the former mechanism that is based on the fact that each workflow instance contains a unique identifier, which is generated automatically. + +[[ref-example-callback]] +== Example of the OpenAPI Callback + +To understand the OpenAPI Callback, see the link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus[`serverless-workflow-callback-events-over-http-quarkus`] example application in GitHub repository. + +This example contains a simple link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-workflow[workflow-service] that illustrates callback state using OpenAPI callbacks functionality. A callback is a state that invokes an action and wait for an event (event that will be eventually fired by the external service notified by the action). This example consists of a callback state that waits for an event to arrive at the wait channel. Its action calls an external service named link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-event-service[callback-event-service] that publishes the wait event over HTTP. After consuming the wait event, the workflow prints the message received in the wait event and ends the workflow. + +The `serverless-workflow-callback-events-over-http-quarkus` application is initiated with the following request to `http://localhost:8080/callback`: +[code,json] +---- +{ + "message": "Hello" +} +---- +Once the workflow is started, it makes an external service call with the callback URL and the workflow instance ID in the request body to link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-event-service[callback-event-service]. Then, as configured in the link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-workflow/src/main/resources/specs/callback.yaml[OpenAPI] file, the callback URL is invoked to send a CloudEvent to the workflow. + +Once the `wait` type CloudEvent is received by the callback-workflow-service, the workflow moves to the next state and ends successfully. The following figure shows the link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus[`serverless-workflow-callback-events-over-http-quarkus`] image: + +image::eventing/openapi-callback.png[] + +To use the OpenAPI callback in a workflow, the OpenAPI YAML file is configured with the callback as specified in the link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-workflow/src/main/resources/specs/callback.yaml[OpenAPI] file. + +To use the Callback state in a workflow, first CloudEvent type `wait` is declared that the workflow uses. Following is an example of CloudEvents declaration in a workflow definition: + +.Example of CloudEvent declaration in a workflow definition +[code,json] +---- + "events": [ + { + "name": "waitEvent", + "source": "", + "type": "wait" + } +---- + +After that, a Callback state is declared, which waits for a CloudEvent with the `wait` type. Following is an example of declaring a Callback state that handles the `wait` type CloudEvent: + +.Example of a Callback State declaration handling the `wait` CloudEvent +[code,json] +---- + { + "name": "waitForEvent", + "type": "callback", + "action": + { + "functionRef": { + "refName": "callBack", + "arguments": { + "uri": "http://localhost:8080/wait", + "processInstanceId": "$WORKFLOW.instanceId" + } + } + }, + "eventRef": "waitEvent", + "transition": "finish" + } +---- +[TIP] +==== +Please refer xref:service-orchestration/configuring-openapi-services-endpoints.adoc[configure openapi service endpoints] document to set the URL dynamically using an environment variable. +==== +An link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-event-service/src/main/java/org/kie/kogito/examples/CallbackResource.java[event listener] publishes a new `wait` type CloudEvent. Following is an example of a Java method that publishes the `wait` type CloudEvent: + +.Example of a Java method that makes a call to Callback URL and publishes the `wait` CloudEvent +[code,java] +---- + @POST + @Consumes(MediaType.APPLICATION_JSON) + public void wait(EventInput eventInput) throws JsonProcessingException { + logger.info("About to generate event for {}",eventInput); + CloudEventBuilder builder = CloudEventBuilder.v1() + .withId(UUID.randomUUID().toString()) + .withSource(URI.create("")) + .withType("wait") + .withTime(OffsetDateTime.now()) + .withExtension(CloudEventExtensionConstants.PROCESS_REFERENCE_ID, eventInput.getProcessInstanceId()) + .withData(objectMapper.writeValueAsBytes(Collections.singletonMap("message", "New Event"))); + + webClient.postAbs(eventInput.getUri()).sendJson(builder.build()).toCompletionStage(); + } +---- + +The callback-workflow-service consumes the CloudEvent, it contains an attribute named `kogitoprocrefid`, which holds the instance ID of the workflow. + +The `kogitoprocrefid` attribute is crucial because when the correlation is not used, then this attribute is the only way for the Callback state to identify that the related CloudEvent needs to be used to resume the workflow. For more information about correlation, see xref:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}]. + +Note that each workflow is identified by a unique instance ID, which is automatically included in any published CloudEvent, as `kogitoprocinstanceid` CloudEvent extension. + +=== HTTP transport configuration +The `serverless-workflow-callback-events-over-http-quarkus` example application consumes the Cloudevents using Knative Eventing. For more information about incoming and outgoing CloudEvents oer HTTP, see xref:eventing/consume-produce-events-with-knative-eventing.adoc[Consuming and Producing CloudEvents over HTTP]. + +The HTTP path where the workflow application will listen for the CloudEvents in the `serverless-workflow-callback-events-over-http-quarkus` example application, is configured in the link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-workflow/src/main/resources/application.properties[`application.properties`] file as shown below: +[source,properties] +---- +mp.messaging.incoming.wait.connector=quarkus-http +mp.messaging.incoming.wait.path=/wait +---- + +== Additional resources + +* xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] +* xref:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}] +* link:{open_api_swagger_spec_url}#callbacks[OpenAPI Callback Example] + +include::../../pages/_common-content/report-issue.adoc[] + + From 4a0f929fa232a1b96261581c76db9fe235e9cdcc Mon Sep 17 00:00:00 2001 From: Dominik Hanak Date: Thu, 7 Dec 2023 09:07:03 +0100 Subject: [PATCH 06/26] SRVLOGIC-184: Update Eventing section to TP2 --- modules/ROOT/nav.adoc | 11 +- ...-produce-events-with-knative-eventing.adoc | 28 +-- .../consume-producing-events-with-kafka.adoc | 8 +- .../event-correlation-with-workflows.adoc | 10 +- .../handling-events-on-workflows.adoc | 145 --------------- ...hestration-of-asyncapi-based-services.adoc | 165 ++++++++++++++++++ .../eventing/working-with-callbacks.adoc | 136 --------------- .../working-with-openapi-callbacks.adoc | 128 -------------- 8 files changed, 193 insertions(+), 438 deletions(-) delete mode 100644 modules/serverless-logic/pages/eventing/handling-events-on-workflows.adoc create mode 100644 modules/serverless-logic/pages/eventing/orchestration-of-asyncapi-based-services.adoc delete mode 100644 modules/serverless-logic/pages/eventing/working-with-callbacks.adoc delete mode 100644 modules/serverless-logic/pages/eventing/working-with-openapi-callbacks.adoc diff --git a/modules/ROOT/nav.adoc b/modules/ROOT/nav.adoc index bd86c784..f25a1ad4 100644 --- a/modules/ROOT/nav.adoc +++ b/modules/ROOT/nav.adoc @@ -41,13 +41,12 @@ ***** xref:serverless-logic:service-orchestration/configuring-openapi-services-endpoints.adoc[Configuring the OpenAPI services endpoints] ***** xref:serverless-logic:service-orchestration/working-with-openapi-callbacks.adoc.adoc[OpenAPI callback in {product_name}] **** xref:serverless-logic:service-orchestration/orchestration-of-grpc-services.adoc[Orchestration of gRPC based services] -*** Eventing -**** xref:serverless-logic:eventing/handling-events-on-workflows.adoc[Event State] -**** xref:serverless-logic:eventing/consume-producing-events-with-kafka.adoc[Consuming and producing events using Apache Kafka] -**** xref:serverless-logic:eventing/consume-produce-events-with-knative-eventing.adoc[Consuming and producing events on Knative Eventing] +*** Event Orchestration +**** xref:serverless-logic:eventing/orchestration-of-asyncapi-callbacks.adoc[Orchestrating AsyncAPI Services] **** xref:serverless-logic:eventing/event-correlation-with-workflows.adoc[Event Correlation] -**** xref:serverless-logic:eventing/working-with-callbacks.adoc[Callback State] -**** xref:serverless-logic:eventing/working-with-openapi-callbacks.adoc[OpenAPI Callback] +**** Quarkus +***** xref:serverless-logic:eventing/consume-producing-events-with-kafka.adoc[Consuming and producing events using Apache Kafka] +**** xref:serverless-logic:eventing/consume-produce-events-with-knative-eventing.adoc[Consuming and producing events on Knative Eventing] *** Security **** xref:serverless-logic:security/authention-support-for-openapi-services.adoc[Authentication for OpenAPI services] **** xref:serverless-logic:security/orchestrating-third-party-services-with-oauth2.adoc[Orchestration of third-party services using OAuth 2.0 authentication] diff --git a/modules/serverless-logic/pages/eventing/consume-produce-events-with-knative-eventing.adoc b/modules/serverless-logic/pages/eventing/consume-produce-events-with-knative-eventing.adoc index 827e5db6..c48ba907 100644 --- a/modules/serverless-logic/pages/eventing/consume-produce-events-with-knative-eventing.adoc +++ b/modules/serverless-logic/pages/eventing/consume-produce-events-with-knative-eventing.adoc @@ -1,4 +1,4 @@ -= Consuming and producing events on Knative Eventing += Consuming and producing events on Knative Eventing in Quarkus :compat-mode!: // Metadata: :description: Consuming and producing events on Knative Eventing @@ -43,7 +43,7 @@ Manually:: [TIP] ==== -If you have used the Knative workflow CLI to create your project, then the Kogito Knative Eventing extension is already present. For more information about creating a project using Knative workflow CLI, see xref:serverless-logic:tooling/kn-plugin-workflow-overview.adoc[{product_name} plug-in for Knative CLI]. +If you have used the Knative workflow CLI to create your project, then the Kogito Knative Eventing extension is already present. For more information about creating a project using Knative workflow CLI, see xref:testing-and-troubleshooting/kn-plugin-workflow-overview.adoc[{product_name} plug-in for Knative CLI]. ==== The Kogito Knative Eventing add-on takes care of the required dependencies and additional configuration that the workflow application needs, to interact with the Knative Eventing platform. @@ -95,7 +95,7 @@ The following table lists the health check probe configuration property: |=== |Property|Default value|Description -|`org.kie.kogito.addons.knative.health_enabled` +|`org.kie.kogito.addons.knative.eventing.health_enabled` |`true` |This property indicates if the health check is enabled to verify that the `K_SINK` variable is injected into the environment. @@ -114,23 +114,23 @@ The following table lists the configuration properties related to Knative sink g |=== |Property|Default value|Description -|`org.kie.kogito.addons.knative.auto_generate_broker` +|`org.kie.kogito.addons.knative.eventing.auto_generate_broker` |true |This property indicates if the Kogito Knative Eventing add-on generates a default Knative Broker in memory to sink and dispatch the messages. Set this property to `false` in case a broker is already installed in your namespace. Note that you can use `org.kie.kogito.addons.knative.eventing.sink.*` property to configure your custom sink. If this property is not set, then the auto-generated broker works as a sink. -|`org.kie.kogito.addons.knative.sink.namespace` +|`org.kie.kogito.addons.knative.eventing.sink.namespace` | |This property indicates the namespace where the generated Knative sink is deployed. -|`org.kie.kogito.addons.knative.sink.api_version` +|`org.kie.kogito.addons.knative.eventing.sink.api_version` |`eventing.knative.dev/v1` |This property indicates the API group and version of the generated Knative sink. -|`org.kie.kogito.addons.knative.sink.name` +|`org.kie.kogito.addons.knative.eventing.sink.name` |`default` |This property indicates the name of the generated Knative sink. -|`org.kie.kogito.addons.knative.sink.kind` +|`org.kie.kogito.addons.knative.eventing.sink.kind` |`Broker` |This property indicates the Kubernetes kind of the generated Knative sink. @@ -150,7 +150,7 @@ The following table lists the configuration property related to Knative sink gen |=== |Property|Default value|Description -|`org.kie.kogito.addons.knative.broker` +|`org.kie.kogito.addons.knative.eventing.broker` |`default` |This property indicates the name of the default Knative broker that is deployed in the Kubernetes namespace. This broker is used as the reference to create the Knative triggers, which are responsible to delegate the events that the workflow service consumes. @@ -296,7 +296,7 @@ kn workflow deploy ---- ==== -For more information about building and deploying the workflow application, see xref:serverless-logic:cloud/quarkus/build-workflow-image-with-quarkus-cli.adoc[Building workflow images using Quarkus CLI]. +For more information about building and deploying the workflow application, see xref:cloud/quarkus/build-workflow-image-with-quarkus-cli.adoc[Building workflow images using Quarkus CLI]. -- [[ref-example-sw-event-definition-knative]] @@ -375,9 +375,9 @@ For each consumed event definition, the Knative Eventing add-on generates one Kn == Additional resources -* xref:serverless-logic:testing-and-troubleshooting/mocking-http-cloudevents-with-wiremock.adoc[Mocking HTTP CloudEvents sink using WireMock] -* xref:serverless-logic:eventing/consume-producing-events-with-kafka.adoc[Consuming and producing events using Apache Kafka] -* xref:serverless-logic:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}] -* xref:serverless-logic:eventing/working-with-callbacks.adoc[Callback state in {product_name}] +* xref:testing-and-troubleshooting/mocking-http-cloudevents-with-wiremock.adoc[Mocking HTTP CloudEvents sink using WireMock] +* xref:eventing/consume-producing-events-with-kafka.adoc[Consuming and producing events using Apache Kafka] +* xref:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}] +* xref:core/working-with-callbacks.adoc[Callback state in {product_name}] include::../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/eventing/consume-producing-events-with-kafka.adoc b/modules/serverless-logic/pages/eventing/consume-producing-events-with-kafka.adoc index 96937b4f..4a6deff1 100644 --- a/modules/serverless-logic/pages/eventing/consume-producing-events-with-kafka.adoc +++ b/modules/serverless-logic/pages/eventing/consume-producing-events-with-kafka.adoc @@ -1,4 +1,4 @@ -= Consuming and producing events using Apache Kafka += Consuming and producing events using Apache Kafka in Quarkus :compat-mode!: // Metadata: :description: Consuming and producing events with Kafka @@ -131,9 +131,9 @@ If all your channels use the same strategy and this strategy differs from the `B == Additional resources -* xref:serverless-logic:eventing/consume-produce-events-with-knative-eventing.adoc[Consuming and producing events on Knative Eventing] -* xref:serverless-logic:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}] -* xref:serverless-logic:eventing/working-with-callbacks.adoc[Callback state in {product_name}] +* xref:eventing/consume-produce-events-with-knative-eventing.adoc[Consuming and producing events on Knative Eventing] +* xref:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}] +* xref:core/working-with-callbacks.adoc[Callback state in {product_name}] include::../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/eventing/event-correlation-with-workflows.adoc b/modules/serverless-logic/pages/eventing/event-correlation-with-workflows.adoc index 73ecfdfe..48ecf5f4 100644 --- a/modules/serverless-logic/pages/eventing/event-correlation-with-workflows.adoc +++ b/modules/serverless-logic/pages/eventing/event-correlation-with-workflows.adoc @@ -15,7 +15,7 @@ You can optionally set the `contextAttributeValue` property, which matches the v The incoming events consumed by the engine must contain the correlation attributes, set in the definition as extension context attributes. The correlation attributes are compliant with the link:{cloud_events_url}[CloudEvent] format, therefore, the attributes are not part of the event payload. ==== -A new workflow instance must be created using an event, which must be declared in the workflow definition file, containing correlation attributes in the event definition section. For more information about events, see xref:serverless-logic:eventing/handling-events-on-workflows.adoc[Event state in {product_name}]. Once the event is consumed, the engine extracts the correlation attributes and associates the attributes with the created workflow instance. +A new workflow instance must be created using an event, which must be declared in the workflow definition file, containing correlation attributes in the event definition section. For more information about events, see xref:core/handling-events-on-workflows.adoc[Event state in {product_name}]. Once the event is consumed, the engine extracts the correlation attributes and associates the attributes with the created workflow instance. A start event does not trigger a correlation evaluation, but acts as a moment in which correlation attributes and values are set. The correlation attributes and values are evaluated against other incoming events that might trigger the given instance. Therefore, when a non-start event is consumed and correlation attributes are evaluated, then the engine continues the execution of the matched instances (if any). @@ -129,7 +129,7 @@ In {product_name}, correlating multiple events together is not supported, theref Using the link:{kogito_sw_examples_url}/serverless-workflow-correlation-quarkus/src/main/resources/correlation.sw.json[workflow definition] in `serverless-workflow-correlation-quarkus` example application, you can define other events that are published and consumed by the workflow. -The `serverless-workflow-correlation-quarkus` example application uses Callback states, such as <>. This means that once the workflow execution reaches the Callback state, the workflow publishes an event of <> type and waits to receive an event of <> type. For more information about callback state, see xref:serverless-logic:eventing/working-with-callbacks.adoc[Callback state in {product_name}]. +The `serverless-workflow-correlation-quarkus` example application uses callback states, such as <>. This means that once the workflow execution reaches the callback state, the workflow publishes an event of <> type and waits to receive an event of <> type. For more information about the callback state, see xref:core/working-with-callbacks.adoc[Callback state in {product_name}]. [[ref-validade-user-email-state]] .Example Callback state definition @@ -194,7 +194,7 @@ All consumed events must contain the same correlation attributes since the consu } ---- -The engine stores the correlation information in the same persistence mechanism that is configured in the workflow application. If a persistence add-on is not configured, then the correlation information is stored in memory. This means that entire correlation information is lost when the workflow application restarts, therefore this process must be used for testing purposes. For more information about the persistence configuration, see xref:serverless-logic:persistence/persistence-with-postgresql.adoc[Running a workflow service using PostgreSQL]. +The engine stores the correlation information in the same persistence mechanism that is configured in the workflow application. If a persistence add-on is not configured, then the correlation information is stored in memory. This means that entire correlation information is lost when the workflow application restarts, therefore this process must be used for testing purposes. For more information about the persistence configuration, see xref:persistence/persistence-with-postgresql.adoc[Running a workflow service using PostgreSQL]. [NOTE] ==== @@ -203,7 +203,7 @@ Currently, only `kogito-addons-quarkus-persistence-jdbc` persistence add-on supp == Additional resources -* xref:serverless-logic:eventing/handling-events-on-workflows.adoc[Event state in {product_name}] -* xref:serverless-logic:eventing/working-with-callbacks.adoc[Callback state in {product_name}] +* xref:core/handling-events-on-workflows.adoc[Event state in {product_name}] +* xref:core/working-with-callbacks.adoc[Callback state in {product_name}] include::../../pages/_common-content/report-issue.adoc[] \ No newline at end of file diff --git a/modules/serverless-logic/pages/eventing/handling-events-on-workflows.adoc b/modules/serverless-logic/pages/eventing/handling-events-on-workflows.adoc deleted file mode 100644 index 5cb0bf7c..00000000 --- a/modules/serverless-logic/pages/eventing/handling-events-on-workflows.adoc +++ /dev/null @@ -1,145 +0,0 @@ -= Event state in {product_name} - -:compat-mode!: -// Metadata: -:description: Handling events on workflows -:keywords: kogito, workflow, serverless, event - -This document describes link:{spec_doc_url}#Event-State[event state] in a workflow. You can use the event state to start a new workflow instance upon the reception of a designated link:{cloud_events_url}[CloudEvent] or to pause the execution of an existing workflow instance until a designated CloudEvent is received. - -[[ref-example-event-match]] -== Example of event match - -An event state consists of one or more link:{spec_doc_url}#event-definition[event definitions]. Event definitions are combined to designate the CloudEvent types that the event state listens to. - -In an event definition, the `onEvents` property is used to group the CloudEvent types that might trigger the same set of `actions`. The `exclusive` property in an event definition indicates how an event match is calculated. In case the value of `exclusive` property is `false`, then all CloudEvent types in the `eventRefs` array must be received for a match to occur. Otherwise, the reception of the referenced CloudEvent types is considered a match. - -The following is an example of event definitions, consisting of two CloudEvent types including `noisy` and `silent`: - -.Example event definitions -[source, json] ----- -"events": [ - { - "name": "noisyEvent", - "source": "", - "type": "noisy", - "dataOnly" : "false" - }, - { - "name": "silentEvent", - "source": "", - "type": "silent" - } - ] ----- - -To indicate that an event match occurs when both `noisy` and `silent` CloudEvent types are received and to execute different actions for both CloudEvent types, define an event state containing both event definitions in separate `onEvent` items and set `exclusive` property to `false`. - -.Example event state defintion with multiple `onEvent` items -[source, json] ----- - { - "name": "waitForEvent", - "type": "event", - "onEvents": [ - { - "eventRefs": [ - "noisyEvent" - ], - "actions": [ - { - "functionRef": "letsGetLoud" - } - ] - }, - { - "eventRefs": [ - "silentEvent" - ], - "actions": [ - { - "functionRef": "beQuiet" - } - ] - } - ] - , - "exclusive": false - } ----- - -To execute the same action when both event types are received, use only one `onEvent` item as shown in the following example: - -.Example event state definition with single `onEvent` item -[source, json] ----- - { - "name": "waitForEvent", - "type": "event", - "onEvents": [ - { - "eventRefs": [ - "noisyEvent", - "silentEvent" - ], - "actions": [ - { - "functionRef": "notCareAboutNoise" - } - ] - } - ] - , - "exclusive": false - } ----- - -If you want the same action to be executed when any of the event types is received, set the `exclusive` property to `true` as shown in the following example: - -.Example event state definition executing same action -[source, json] ----- - { - "name": "waitForEvent", - "type": "event", - "onEvents": [ - { - "eventRefs": [ - "noisyEvent", - "silentEvent" - ], - "actions": [ - { - "functionRef": "notCareAboutNoise" - } - ] - } - ] - ,"exclusive": true - } ----- - -You can also remove the `exclusive` property, as `true` is the default value. - -To start a new workflow instance, set the `start` property to the event state name in the workflow header. The workflow instance starts when there is an event match. Using the previous example of event state definition, add the following code in the workflow header: - -.Start a workflow instance -[source,json] ----- -"start":"waitForEvent" ----- - -An event state can also be used to pause an existing workflow instance. When the workflow execution reaches an event state, which is not starting, then the execution is paused until there is an event match for that workflow instance. - -Similar to the callback state in a workflow, the workflow instance to be resumed is identified by `kogitoprocrefid` CloudEvent attribute or calculated according to the xref:serverless-logic:eventing/event-correlation-with-workflows.adoc[event correlation] functionality. While callback state is used for _fire&wait_ scenarios, event state covers _wait&fire_ scenarios. For more information about the callback state, see xref:serverless-logic:eventing/working-with-callbacks.adoc[Callback state in {product_name}]. - -== Additional resources - -* xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] -* xref:serverless-logic:eventing/consume-producing-events-with-kafka.adoc[Consuming and producing events using Apache Kafka] -* xref:serverless-logic:eventing/consume-produce-events-with-knative-eventing.adoc[Consuming and producing events on Knative Eventing] - -include::../../pages/_common-content/report-issue.adoc[] - - \ No newline at end of file diff --git a/modules/serverless-logic/pages/eventing/orchestration-of-asyncapi-based-services.adoc b/modules/serverless-logic/pages/eventing/orchestration-of-asyncapi-based-services.adoc new file mode 100644 index 00000000..6802a0be --- /dev/null +++ b/modules/serverless-logic/pages/eventing/orchestration-of-asyncapi-based-services.adoc @@ -0,0 +1,165 @@ += Orchestrating AsyncAPI Services +:compat-mode!: +// Metadata: +:description: Orchestration of AsyncAPI based services +:keywords: kogito, workflow, serverless, AsyncApi, quarkiverse +// links: +:async_api_spec_url: https://www.asyncapi.com/docs/reference/specification/v2.0.0 +:async_quarkiverse_url: https://github.com/quarkiverse/quarkus-asyncapi +// Referenced documentation pages. +:kafka_config: xref:eventing/consume-producing-events-with-kafka.adoc +:knative_config: xref:eventing/consume-produce-events-with-knative-eventing.adoc +:event_states: xref:core/handling-events-on-workflows.adoc + +This document describes how to trigger and publish events using an link:{async_api_spec_url}[AsyncAPI] specification file. +Underneath, {product_name} uses the link:{async_quarkiverse_url}[AsyncAPI Quarkiverse extension]. +This extension automatically generates all the required link:{smallrye_messaging_url}[Smallrye] properties to make {product_name} work with the servers declared in the AsyncAPI file. Therefore, you do not need to add any property specific to your event broker to make AsyncAPI work. This is a huge advantage over regular {event_states}[event states], where whether using {kafka_config}[Kafka] or {knative_config}[Knative], you have to provide additional configuration + +[NOTE] +==== +AsyncAPI Quarkiverse extension only supports `kafka` and `http` protocols at the moment. +==== + + +== Consuming an event + +Let's assume there is an AsyncAPI specification file called `asyncAPI.yaml`, located in the classpath of your project. + +This file contains a `servers` definition which `protocol` is Kafka: + +.Example of an AsyncAPI kafka server definition +[source,yaml] +---- +servers: + development: + url: localhost:9092 + description: Development server + protocol: kafka + protocolVersion: '1.0.0' +---- + +and a subscription channel named `wait`: + +.Example of an AsyncAPI subscribing channel definition +[source,yaml] +---- +channels: + wait: + description: A message channel + subscribe: + operationId: consumeWait + summary: Get messages + message: + $ref: '#/components/messages/message' +---- + +You can define a function in your workflow, of type `asyncapi`, that points to `consumerWait` operationId: + +.Example of an AsyncAPI subscribing function definition +[source,json] +---- +{ + "functions": [ + { + "name": "consumeEvent", + "type": "asyncapi", + "operation": "asyncAPI.yaml#consumeWait" + } + ] +} +---- + +[NOTE] +==== +Remember that, as happens with `REST` and `RPC` types, the URI part of the `operation` property supports `http`, `https`, and `file` schemas. If no schema is present, it assumes the specification file is on the project classpath. +==== + +Once the function is defined, you can invoke it within an `operation` state: + +.Example of an AsyncAPI subscribing function invocation +[source,json] +---- + { + "name": "waitForEvent", + "type": "operation", + "actions": [ + { + "functionRef": "consumeEvent" + } + ] + } +---- + +When your flow reach the `waitForEvent` state, it will stop until it receives a CloudEvent published over the Kafka topic `wait`. + +== Publishing an event + +Let's assume there is an AsyncAPI specification file called `asyncAPI.yaml`, located in the classpath of your project. + +This file contains a `servers` definition which `protocol` is HTTP: + +.Example of an AsyncAPI http server definition +[source,yaml] +---- +servers: + development: + url: localhost:8080 + description: Development server + protocol: http + protocolVersion: '1.0.0' +---- + +and a publishing channel named `resume`: + +.Example of an AsyncAPI publishing channel definition +[source,yaml] +---- +channels: + resume: + description: A message channel + publish: + operationId: sendResume + summary: Get messages + message: + $ref: '#/components/messages/message' +---- + +You can define a function in your workflow, of type `asyncapi`, that point to `sendResume` operationId: + +.Example of an AsyncAPI publishing function definition +[source,json] +---- +{ + "functions": [ + { + "name": "sendResume", + "type": "asyncapi", + "operation": "asyncAPI.yaml#sendResume" + } + ] +} +---- + +Once the function is defined, you can invoke it within an `operation` state: + +.Example of an AsyncAPI publishing function invocation +[source,json] +---- + { + "name": "sendEvent", + "type": "operation", + "actions": [ + { + "functionRef": "sendResume", + "arguments" : { + "name" : "Javierito" + } + } + ] + } +---- + +When your flow reach the `sendEvent` state, it will send an event to the endpoint `http://localhost:8080/resume`, with the payload `{"name":"Javierito"}` + + +include::../../pages/_common-content/report-issue.adoc[] diff --git a/modules/serverless-logic/pages/eventing/working-with-callbacks.adoc b/modules/serverless-logic/pages/eventing/working-with-callbacks.adoc deleted file mode 100644 index 71fc1074..00000000 --- a/modules/serverless-logic/pages/eventing/working-with-callbacks.adoc +++ /dev/null @@ -1,136 +0,0 @@ -= Callback state in {product_name} - -:compat-mode!: -// Metadata: -:description: Working with callbacks -:keywords: kogito, workflow, serverless, callback, event - -This document describes the link:{spec_doc_url}#Callback-State[Callback state] and related examples. The Callback state performs an action and waits for an event, to be produced as a result of the action, to resume the workflow. The action peformed by a Callback state is an asynchronous external service invocation. Therefore, the Callback state is suitable to perform _fire&wait-for-result_ operations. - -From a workflow perspective, asynchronous service indicates that the control is returned to the caller immediately without waiting for the action to be completed. Once the action is completed, a link:{cloud_events_url}[CloudEvent] is published to resume the workflow. - -For the workflow to identify the published CloudEvent it is waiting for, the external service developer includes the workflow instance ID in the CloudEvent header or uses the xref:serverless-logic:eventing/event-correlation-with-workflows.adoc[Event correlation]. The following figure displays the process: - -image::eventing/callbacks-explained.png[] - -The workflow correlation described in this document focuses on the former mechanism that is based on the fact that each workflow instance contains a unique identifier, which is generated automatically. - -[[ref-example-callback]] -== Example of Callback state - -To understand the Callback state, see the link:{kogito_sw_examples_url}/serverless-workflow-callback-quarkus[`serverless-workflow-callback-quarkus`] example application in GitHub repository. - -The initial model of the `serverless-workflow-callback-quarkus` example application is empty. Once the workflow is started, it publishes a CloudEvent of the `resume` type and waits for a CloudEvent, which contains the type `wait`. - -A listener consumes the CloudEvent with the `resume` type and simulates the behavior of an external service. Consequently, on the external service side, when the actions associated with the `resume` type CloudEvent are completed, the listener publishes a `wait` type CloudEvent. Once the `wait` type CloudEvent is received, the workflow moves to the next state and ends successfully. - -To use the Callback state in a workflow, first CloudEvent types such as `resume` and `wait` are declared that the workflow uses. Following is an example of CloudEvents declaration in a workflow definition: - -.Example of CloudEvents declaration in a workflow definition -[code,json] ----- -"events": [ - { - "name": "resumeEvent", - "source": "", - "type": "resume" - }, - { - "name": "waitEvent", - "source": "", - "type": "wait" - } - ] ----- - -After that, a Callback state is declared. The Callback state publishes a `resume` type CloudEvent and waits for a CloudEvent with `wait` type. The published CloudEvent contains a `move` data field, and the CloudEvent that is received is expected to contain a `result` data field. According to the link:{spec_doc_url}#event-data-filters[eventDataFilter], the `result` data field is added to the workflow model as a `move` field. - -Following is an example of declaring a Callback state that handles the `wait` type CloudEvent: - -.Example of a Callback State declaration handling the `wait` CloudEvent -[code,json] ----- -{ - "name": "waitForEvent", - "type": "callback", - "action": { - "name": "publishAction", - "eventRef": { - "triggerEventRef": "resumeEvent", - "data": "{move: \"This is the initial data in the model\"}" - } - }, - "eventRef": "waitEvent", - "eventDataFilter": { - "data": ".result", - "toStateData": ".move" - }, - "transition": "finish" - } ----- - -An link:{kogito_sw_examples_url}/serverless-workflow-callback-quarkus/src/main/java/org/kie/kogito/examples/PrintService.java[event listener] consumes the `resume` type CloudEvent and publishes a new `wait` type CloudEvent. Following is an example of a Java method that publishes the `wait` type CloudEvent: - -.Example of a Java method that publishes the `wait` CloudEvent -[code,java] ----- - - private String generateCloudEvent(String id, String input) { - Map eventBody = new HashMap<>(); - eventBody.put("result", input + " and has been modified by the event publisher"); - eventBody.put("dummyEventVariable", "This will be discarded by the process"); - try { - return objectMapper.writeValueAsString(CloudEventBuilder.v1() - .withId(UUID.randomUUID().toString()) - .withSource(URI.create("")) - .withType("wait") - .withTime(OffsetDateTime.now()) - .withExtension(CloudEventExtensionConstants.PROCESS_REFERENCE_ID, id) - .withData(objectMapper.writeValueAsBytes(eventBody)) - .build()); - } catch (JsonProcessingException e) { - throw new IllegalArgumentException(e); - } - - } ----- - -After that, the workflow application consumes the event published by the listener and sets the result field. The consumed CloudEvent contains an attribute named `kogitoprocrefid`, which holds the workflow instance ID of the workflow. - -The `kogitoprocrefid` attribute is crucial because when the correlation is not used, then this attribute is the only way for the Callback state to identify that the related CloudEvent needs to be used to resume the workflow. For more information about correlation, see xref:serverless-logic:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}]. - -Note that each workflow is identified by a unique instance ID, which is automatically included in any published CloudEvent, as `kogitoprocinstanceid` CloudEvent extension. - -The following example shows that the event listener takes the workflow instance ID of a workflow from a CloudEvent attribute named `kogitoprocinstanceid`, which is associated with the CloudEvent that is consumed. - -.Example of a Java method that consumes the `resume` CloudEvent -[source,java] ----- - @Incoming("in-resume") - @Outgoing("out-wait") - @Acknowledgment(Strategy.POST_PROCESSING) - public String onEvent(Message message) { - Optional ce = CloudEventUtils.decode(message.getPayload()); - JsonCloudEventData cloudEventData = (JsonCloudEventData) ce.get().getData(); - return generateCloudEvent(ce.get().getExtension(CloudEventExtensionConstants.PROCESS_INSTANCE_ID).toString(), cloudEventData.getNode().get("move").asText()); - } ----- - -Apache Kafka configuration in `serverless-workflow-callback-quarkus`:: -+ --- -The `serverless-workflow-callback-quarkus` example application requires an external broker to manage the associated CloudEvents. The default setup in the `serverless-workflow-callback-quarkus` example application uses link:{kafka_doc_url}[Apache Kafka]. However, you can also use xref:serverless-logic:eventing/consume-produce-events-with-knative-eventing.adoc[Knative Eventing]. - -Apache Kafka uses topics to publish or consume messages. In the `serverless-workflow-callback-quarkus` example application, two topics are used, matching the name of the CloudEvent types that are defined in the workflow, such as `resume` and `wait`. The `resume` and `wait` CloudEvent types are configured in the link:{kogito_sw_examples_url}/serverless-workflow-callback-quarkus/src/main/resources/application.properties[`application.properties`] file. - -For more information about using Apache Kafka with events, see link:xref:consume-producing-events-with-kafka.adoc[Consuming and producing events using Apache Kafka]. --- - -== Additional resources - -* xref:serverless-logic:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] -* xref:serverless-logic:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}] - -include::../../pages/_common-content/report-issue.adoc[] - - diff --git a/modules/serverless-logic/pages/eventing/working-with-openapi-callbacks.adoc b/modules/serverless-logic/pages/eventing/working-with-openapi-callbacks.adoc deleted file mode 100644 index 9c997e9b..00000000 --- a/modules/serverless-logic/pages/eventing/working-with-openapi-callbacks.adoc +++ /dev/null @@ -1,128 +0,0 @@ -= OpenAPI Callback in {product_name} - -:compat-mode!: -// Metadata: -:description: Working with openapi callbacks -:keywords: kogito, workflow, serverless, openapi, callback, event - -This document describes the link:{open_api_spec_url}#callback-object[OpenAPI Callback] and related examples. Also, it covers the difference between OpenAPI Callback and the Serverless Workflow Callback state. The Serverless Workflow callback state can be implemented using both the OpenAPI callback and the Callback state functionalities. Both the functionalities perform an action and wait for an event to be produced as a result of the action to resume the workflow, but each of them follows a different approach in achieving it. Therefore, both OpenAPI callback and the Callback state approaches are suitable to perform _fire & wait-for-result_ operations. - -The OpenAPI callback is an asynchronous, out-of-band request that your service will send to some other service in response to specific events. In contrast, the Callback state performs an action that triggers an external activity/service which is responsible for sending a cloud event to the workflow. Both ways aim to send an event to the workflow to resume the flow. - -As mentioned in the link:{open_api_spec_url}#callback-object[OpenAPI Callback document], when the workflow makes an asynchronous service call, you must provide the callback URL in the request body. The external service invokes the callback URL and sends a link:{cloud_events_url}[CloudEvent] to the workflow. - -From a workflow perspective, asynchronous service indicates that the control is returned to the caller immediately without waiting for the action to be completed. Once the action is completed, a link:{cloud_events_url}[CloudEvent] needs to be published to resume the workflow. - -For the workflow to identify the published CloudEvent it is waiting for, the external service developer includes the workflow instance ID in the CloudEvent header or uses the xref:eventing/event-correlation-with-workflows.adoc[Event correlation]. The following figure displays the process: - -image::eventing/callbacks-explained.png[] - -The workflow correlation described in this document focuses on the former mechanism that is based on the fact that each workflow instance contains a unique identifier, which is generated automatically. - -[[ref-example-callback]] -== Example of the OpenAPI Callback - -To understand the OpenAPI Callback, see the link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus[`serverless-workflow-callback-events-over-http-quarkus`] example application in GitHub repository. - -This example contains a simple link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-workflow[workflow-service] that illustrates callback state using OpenAPI callbacks functionality. A callback is a state that invokes an action and wait for an event (event that will be eventually fired by the external service notified by the action). This example consists of a callback state that waits for an event to arrive at the wait channel. Its action calls an external service named link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-event-service[callback-event-service] that publishes the wait event over HTTP. After consuming the wait event, the workflow prints the message received in the wait event and ends the workflow. - -The `serverless-workflow-callback-events-over-http-quarkus` application is initiated with the following request to `http://localhost:8080/callback`: -[code,json] ----- -{ - "message": "Hello" -} ----- -Once the workflow is started, it makes an external service call with the callback URL and the workflow instance ID in the request body to link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-event-service[callback-event-service]. Then, as configured in the link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-workflow/src/main/resources/specs/callback.yaml[OpenAPI] file, the callback URL is invoked to send a CloudEvent to the workflow. - -Once the `wait` type CloudEvent is received by the callback-workflow-service, the workflow moves to the next state and ends successfully. The following figure shows the link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus[`serverless-workflow-callback-events-over-http-quarkus`] image: - -image::eventing/openapi-callback.png[] - -To use the OpenAPI callback in a workflow, the OpenAPI YAML file is configured with the callback as specified in the link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-workflow/src/main/resources/specs/callback.yaml[OpenAPI] file. - -To use the Callback state in a workflow, first CloudEvent type `wait` is declared that the workflow uses. Following is an example of CloudEvents declaration in a workflow definition: - -.Example of CloudEvent declaration in a workflow definition -[code,json] ----- - "events": [ - { - "name": "waitEvent", - "source": "", - "type": "wait" - } ----- - -After that, a Callback state is declared, which waits for a CloudEvent with the `wait` type. Following is an example of declaring a Callback state that handles the `wait` type CloudEvent: - -.Example of a Callback State declaration handling the `wait` CloudEvent -[code,json] ----- - { - "name": "waitForEvent", - "type": "callback", - "action": - { - "functionRef": { - "refName": "callBack", - "arguments": { - "uri": "http://localhost:8080/wait", - "processInstanceId": "$WORKFLOW.instanceId" - } - } - }, - "eventRef": "waitEvent", - "transition": "finish" - } ----- -[TIP] -==== -Please refer xref:service-orchestration/configuring-openapi-services-endpoints.adoc[configure openapi service endpoints] document to set the URL dynamically using an environment variable. -==== -An link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-event-service/src/main/java/org/kie/kogito/examples/CallbackResource.java[event listener] publishes a new `wait` type CloudEvent. Following is an example of a Java method that publishes the `wait` type CloudEvent: - -.Example of a Java method that makes a call to Callback URL and publishes the `wait` CloudEvent -[code,java] ----- - @POST - @Consumes(MediaType.APPLICATION_JSON) - public void wait(EventInput eventInput) throws JsonProcessingException { - logger.info("About to generate event for {}",eventInput); - CloudEventBuilder builder = CloudEventBuilder.v1() - .withId(UUID.randomUUID().toString()) - .withSource(URI.create("")) - .withType("wait") - .withTime(OffsetDateTime.now()) - .withExtension(CloudEventExtensionConstants.PROCESS_REFERENCE_ID, eventInput.getProcessInstanceId()) - .withData(objectMapper.writeValueAsBytes(Collections.singletonMap("message", "New Event"))); - - webClient.postAbs(eventInput.getUri()).sendJson(builder.build()).toCompletionStage(); - } ----- - -The callback-workflow-service consumes the CloudEvent, it contains an attribute named `kogitoprocrefid`, which holds the instance ID of the workflow. - -The `kogitoprocrefid` attribute is crucial because when the correlation is not used, then this attribute is the only way for the Callback state to identify that the related CloudEvent needs to be used to resume the workflow. For more information about correlation, see xref:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}]. - -Note that each workflow is identified by a unique instance ID, which is automatically included in any published CloudEvent, as `kogitoprocinstanceid` CloudEvent extension. - -=== HTTP transport configuration -The `serverless-workflow-callback-events-over-http-quarkus` example application consumes the Cloudevents using Knative Eventing. For more information about incoming and outgoing CloudEvents oer HTTP, see xref:eventing/consume-produce-events-with-knative-eventing.adoc[Consuming and Producing CloudEvents over HTTP]. - -The HTTP path where the workflow application will listen for the CloudEvents in the `serverless-workflow-callback-events-over-http-quarkus` example application, is configured in the link:{kogito_sw_examples_url}/serverless-workflow-callback-events-over-http-quarkus/callback-workflow/src/main/resources/application.properties[`application.properties`] file as shown below: -[source,properties] ----- -mp.messaging.incoming.wait.connector=quarkus-http -mp.messaging.incoming.wait.path=/wait ----- - -== Additional resources - -* xref:getting-started/create-your-first-workflow-service.adoc[Creating your first workflow service] -* xref:eventing/event-correlation-with-workflows.adoc[Event correlation in {product_name}] -* link:{open_api_swagger_spec_url}#callbacks[OpenAPI Callback Example] - -include::../../pages/_common-content/report-issue.adoc[] - - From dd07f4e560f4ca8f546d4cbc0e5879ec071e903a Mon Sep 17 00:00:00 2001 From: Dominik Hanak Date: Thu, 7 Dec 2023 09:09:21 +0100 Subject: [PATCH 07/26] SRVLOGIC-184: Update Security section for TP2 --- .../authention-support-for-openapi-services.adoc | 6 +++--- ...estrating-third-party-services-with-oauth2.adoc | 14 +++++++------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/modules/serverless-logic/pages/security/authention-support-for-openapi-services.adoc b/modules/serverless-logic/pages/security/authention-support-for-openapi-services.adoc index f693f12c..c69f7563 100644 --- a/modules/serverless-logic/pages/security/authention-support-for-openapi-services.adoc +++ b/modules/serverless-logic/pages/security/authention-support-for-openapi-services.adoc @@ -4,9 +4,9 @@ :description: Authentication support for OpenAPI services :keywords: kogito, workflow, serverless, authentication // Referenced documentation pages. -:orchestration-of-openapi-based-services: xref:serverless-logic:service-orchestration/orchestration-of-openapi-based-services.adoc -:configuring-openapi-services-endpoints: xref:serverless-logic:service-orchestration/configuring-openapi-services-endpoints.adoc -:orchestrating-third-party-services-with-oauth2: xref:serverless-logic:security/orchestrating-third-party-services-with-oauth2.adoc +:orchestration-of-openapi-based-services: xref:service-orchestration/orchestration-of-openapi-based-services.adoc +:configuring-openapi-services-endpoints: xref:service-orchestration/configuring-openapi-services-endpoints.adoc +:orchestrating-third-party-services-with-oauth2: xref:security/orchestrating-third-party-services-with-oauth2.adoc This document describes the supported authentication types and how to configure them to access the OpenAPI service operations that are used in workflows. diff --git a/modules/serverless-logic/pages/security/orchestrating-third-party-services-with-oauth2.adoc b/modules/serverless-logic/pages/security/orchestrating-third-party-services-with-oauth2.adoc index 788464ee..5d4e9077 100644 --- a/modules/serverless-logic/pages/security/orchestrating-third-party-services-with-oauth2.adoc +++ b/modules/serverless-logic/pages/security/orchestrating-third-party-services-with-oauth2.adoc @@ -1,14 +1,14 @@ -= Orchestration of third-party services using OAuth 2.0 authentication in {product_name} += Orchestration of third-party services using OAuth 2.0 authentication :compat-mode!: // Metadata: :description: Orchestration of third-party services using OAuth 2.0 authentication :keywords: kogito, workflow, serverless, authentication, oauth2 // Referenced documentation pages. -:orchestration-of-openapi-based-services: xref:serverless-logic:service-orchestration/orchestration-of-openapi-based-services.adoc -:configuring-openapi-services-endpoints: xref:serverless-logic:service-orchestration/configuring-openapi-services-endpoints.adoc -:authentication-support-for-openapi-services: xref:serverless-logic:security/authention-support-for-openapi-services.adoc -:authentication-support-for-openapi-services-oauth-example: xref:serverless-logic:security/authention-support-for-openapi-services.adoc#ref-example-oauth-authentication +:orchestration-of-openapi-based-services: xref:service-orchestration/orchestration-of-openapi-based-services.adoc +:configuring-openapi-services-endpoints: xref:service-orchestration/configuring-openapi-services-endpoints.adoc +:authentication-support-for-openapi-services: xref:security/authention-support-for-openapi-services.adoc +:authentication-support-for-openapi-services-oauth-example: xref:security/authention-support-for-openapi-services.adoc#ref-example-oauth-authentication // Other links :kogito_sw_examples_serverless_workflow_oauth2_orchestration_url: {kogito_sw_examples_url}/serverless-workflow-oauth2-orchestration-quarkus :kogito_sw_examples_serverless_workflow_oauth2_orchestration_workflow_definition_url: {kogito_sw_examples_url}/serverless-workflow-oauth2-orchestration-quarkus/currency-exchange-workflow/src/main/resources/currency-exchange-workflow.sw.json @@ -664,6 +664,6 @@ In this example the error indicates that it was not possible to contact the `acm == Additional resources -* xref:serverless-logic:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services] +* xref:service-orchestration/orchestration-of-openapi-based-services.adoc[Orchestrating the OpenAPI services] -include::../../pages/_common-content/report-issue.adoc[] +include::../../pages/_common-content/report-issue.adoc[] \ No newline at end of file From c74f504bdf5697e1aef3cb2f1f6ac7a1ab4547ca Mon Sep 17 00:00:00 2001 From: Dominik Hanak Date: Thu, 7 Dec 2023 09:29:19 +0100 Subject: [PATCH 08/26] SRVLOGIC-184: Update 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100644 modules/serverless-logic/pages/testing-and-troubleshooting/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-definition-page.adoc create mode 100644 modules/serverless-logic/pages/testing-and-troubleshooting/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-instances-page.adoc diff --git a/modules/ROOT/nav.adoc b/modules/ROOT/nav.adoc index f25a1ad4..a28fafb9 100644 --- a/modules/ROOT/nav.adoc +++ b/modules/ROOT/nav.adoc @@ -50,13 +50,18 @@ *** Security **** xref:serverless-logic:security/authention-support-for-openapi-services.adoc[Authentication for OpenAPI services] **** xref:serverless-logic:security/orchestrating-third-party-services-with-oauth2.adoc[Orchestration of third-party services using OAuth 2.0 authentication] -*** Testing and Troubleshooting -**** xref:serverless-logic:testing-and-troubleshooting/mocking-http-cloudevents-with-wiremock.adoc[Mocking HTTP CloudEvents sink using WireMock] -**** xref:serverless-logic:testing-and-troubleshooting/mocking-openapi-services-with-wiremock.adoc[Mocking OpenAPI services using WireMock] -**** xref:serverless-logic:testing-and-troubleshooting/basic-integration-tests-with-restassured.adoc[Testing using REST Assured] -//**** xref:serverless-logic:testing-and-troubleshooting/debugging-workflow-execution-runtime.adoc[Debugging the workflow execution in runtime] -**** xref:serverless-logic:testing-and-troubleshooting/integration-tests-with-postgresql.adoc[Integration tests using PostgreSQL] -//**** xref:serverless-logic:testing-and-troubleshooting/development-tools-for-troubleshooting.adoc[Development tools for troubleshooting] +*** Executing, Testing and Troubleshooting +**** Executing and Testing Workflows +***** xref:testing-and-troubleshooting/quarkus-dev-ui-extension/quarkus-dev-ui-overview.adoc[Developer UI] +****** xref:testing-and-troubleshooting/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-instances-page.adoc[Workflow Instances] +****** xref:testing-and-troubleshooting/quarkus-dev-ui-extension/quarkus-dev-ui-workflow-definition-page.adoc[Workflow Definitions] +****** xref:testing-and-troubleshooting/quarkus-dev-ui-extension/quarkus-dev-ui-monitoring-page.adoc[Monitoring] +****** xref:testing-and-troubleshooting/quarkus-dev-ui-extension/quarkus-dev-ui-custom-dashboard-page.adoc[Dashboards] +***** xref:testing-and-troubleshooting/kn-plugin-workflow-overview.adoc[Command Line] +**** Quarkus +***** xref:serverless-logic:testing-and-troubleshooting/mocking-http-cloudevents-with-wiremock.adoc[Mocking HTTP CloudEvents sink using WireMock] +***** xref:serverless-logic:testing-and-troubleshooting/mocking-openapi-services-with-wiremock.adoc[Mocking OpenAPI services using WireMock] +***** xref:serverless-logic:testing-and-troubleshooting/basic-integration-tests-with-restassured.adoc[Testing using REST Assured] *** Persistence **** xref:serverless-logic:persistence/persistence-with-postgresql.adoc[Running a workflow 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