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1. OpenApi repositories in the Workflow Executor

OpenApi, formerly/also known as Swagger, is a specification used for building APIs.
It is usually used to define your APIs to others, but in our case you can use it to define commands!

The practical thing about the OpenApi repositories is that all the implementation is already defined within the specification.
There is no need to implement any further logic, everything that is needed for the commands is defined within the API.

In this guide we will work with the example of the Petstore.

1.1. Adding a predefined OpenApi repository

To add a repository from an OpenApi endpoint, you only need to provide the link to the Swagger Json and give it a name.
If the OpenApi requests authorisation, you have the possibility to save your login data here, for a more convenient access.

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Figure 1. Adding an OpenApi repository
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Figure 2. Setting the Url and Name (and Credentials if necessary)

1.2. Using commands from an OpenApi repository

Commands from the OpenApi repositories can expect input in one of two forms:

  1. Normal Parameters: You can use the commands just like any other command, you do not have to pay attention to anything special.
    Simply enter the desired data!

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    Figure 3. A command with normal Parameters
  2. Request Bodies: Sometimes the command demands a http request body as an input value.
    In that case your input needs to match the structure defined in the corresponding schema,
    as the input will be put into the http request directly, without editing or adapting it before.

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    Figure 4. A command with a requestBody as input

2. Defining your own OpenApi repository

This guide will not cover how to set up a whole Swagger Specification, a guide for that can be found here.
For now, we will only focus on how commands are defined.

2.1. Using the Http Request Body as Input-Variables

Let’s look at the first command: Update an existing Pet

/pet:
    put:
      tags:
        - pet
      summary: Update an existing pet (1)
      description: Update an existing pet by Id (1)
      operationId: updatePet
      requestBody: (2)
        description: Update an existent pet in the store
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/Pet'
          application/xml:
            schema:
              $ref: '#/components/schemas/Pet'
          application/x-www-form-urlencoded:
            schema:
              $ref: '#/components/schemas/Pet'
        required: true
      responses:
        '200':
          description: Successful operation
          content:
            application/xml:
              schema:
                $ref: '#/components/schemas/Pet'
            application/json:
              schema:
                $ref: '#/components/schemas/Pet'
        '400':
          description: Invalid ID supplied
        '404':
          description: Pet not found
        '405':
          description: Validation exception
      security:
        - petstore_auth:
            - write:pets
            - read:pets
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Figure 5. The command inside the WorkflowExecutor
1 As you can see, the summary will be the name of the command, the description will be displayed underneath.
2 The Input-Variable, in this case, is defined as a request body.
Therefore, the user of the command has to supply a correctly put together string of a http request body.
The schema will describe exactly what the update body should look like.
In this case it is a link to the following:
 Pet:
      required:
        - name
        - photoUrls
      type: object
      properties:
        id:
          type: integer
          format: int64
          example: 10
        name:
          type: string
          example: doggie
        category:
          $ref: '#/components/schemas/Category'
        photoUrls:
          type: array
          xml:
            wrapped: true
          items:
            type: string
            xml:
              name: photoUrl
        tags:
          type: array
          xml:
            wrapped: true
          items:
            $ref: '#/components/schemas/Tag'
        status:
          type: string
          description: pet status in the store
          enum:
            - available
            - pending
            - sold
      xml:
        name: pet

According to this schema, the http request body (in the command the Input-Variable updatePetBody) has to be similar to:

{
  "id": 10,
  "name": "doggie",
  "category": {
    "id": 1,
    "name": "Dogs"
  },
  "photoUrls": [
    "string"
  ],
  "tags": [
    {
      "id": 0,
      "name": "string"
    }
  ],
  "status": "available"
}
It often helps to use the Swagger Editor
to get a better understanding of what an OpenApi defines and an overview over the commands.

2.2. Using Parameters as Input-Variables

Now let’s look at the „Updates a pet in the store with form data“ command:

post:
      tags:
        - pet
      summary: Updates a pet in the store with form data
      description: ''
      operationId: updatePetWithForm
      parameters: (1)
        - name: petId
          in: path (2)
          description: ID of pet that needs to be updated
          required: true
          schema:
            type: integer
            format: int64
        - name: name
          in: query
          description: Name of pet that needs to be updated
          schema:
            type: string
        - name: status
          in: query
          description: Status of pet that needs to be updated
          schema:
            type: string
      responses:
        '405':
          description: Invalid input
      security:
        - petstore_auth:
            - write:pets
            - read:pets
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Figure 6. The command inside the Workflow Executor
1 The Parameters will be used for the Input-Variables of the command.
You can specify a name and type for the variable (if required).
2 Via „in:“ you can determine where in the http request (the query or the path) the parameter should be put.

Sonatype Nexus

PAK features connectors and commands for Sonatype Nexus. This means the software can directly interact with Nexus repositories for storing and managing artifacts. Through these connectors, PAK can automate tasks like uploading binaries or retrieving dependencies, ensuring efficient artifact management within Nexus.

Jenkins

PAK has connectors and commands for Jenkins. This allows the software to directly communicate with Jenkins servers, enabling the automation of CI/CD (Continuous Integration/Continuous Deployment) tasks. Through these connectors, PAK can trigger builds, fetch build statuses, or manage job configurations, streamlining the CI/CD processes within Jenkins.

Git Hub

PAK possesses connectors and commands for GitHub. This means the software can interface directly with GitHub repositories, facilitating actions like code pushes, pull requests, or issue tracking. Through these connectors, PAK can automate various GitHub operations, enhancing code collaboration and repository management.

Atlassian Confluence

PAK is equipped with connectors and commands for Atlassian Confluence. This enables the software to directly interact with Confluence spaces and pages. Through these connectors, PAK can automate actions such as creating, updating, or retrieving documentation, ensuring efficient content management and collaboration within Confluence.

Codebeamer

PAK features connectors and commands for Codebeamer. This allows the software to seamlessly integrate with Codebeamer’s ALM (Application Lifecycle Management) platform. Through these connectors, PAK can automate tasks like issue tracking, test management, or requirements tracing, enhancing the coordination and management of software development processes.

JFrog Artifactory

PAK has connectors and commands for JFrog Artifactory. This means the software can directly interface with Artifactory repositories, enabling actions like artifact storage, retrieval, and management. Through these connectors, PAK can automate tasks such as deploying artifacts or managing repository configurations, streamlining the integration and management of binary artifacts within Artifactory.

Amazon Web Services (AWS)

PAK has connectors and commands for Amazon Web Services (AWS). This means the software possesses specialized interfaces to directly interact with AWS services and execute actions on the AWS platform. Through these connectors, PAK can automate AWS-specific commands, such as launching EC2 instances, managing S3 buckets, or configuring Lambda functions. This allows for efficient integration, management, and automation of AWS resources and services directly from PAK.

Atlassian Jira

PAK features integration tools and capabilities for Atlassian Jira. These tools allow for a direct connection to Jira and the execution of specific actions. Using these integration tools, PAK can automate Jira actions such as adding comments or changing ticket priorities, ensuring seamless handling and coordination of Jira processes.

Git

PAK has connectors and commands for Git. This means it has interfaces to directly communicate with Git and execute actions. Through these connectors, the software can automate Git commands such as retrieving changes or creating branches, enabling efficient integration and management of Git tasks.

Generic Human Tasks

PAK offers you a standard set of commands which require creative input from the user. Enables you to start with automating your workflows, that still need abit of human input.

Generic Commands

PAK offers a standard set of commands giving you the first steps to automate your workflows.

Nexus Maven Command Pool

Nexus is an artifact repository manager for storing binaries, libraries, and artifacts, supporting formats like Maven. Maven, a software project management tool, is based on the Project Object Model (POM) and allows developers to consistently define projects and dependencies. Our Command Pool offers commands for interactions between Maven and Nexus, such as artifact uploads or dependency retrieval.

Artifactory Maven Command Pool

Artifactory allows developers to store, retrieve, and manage binary files and artifacts, providing a
central source for all binaries used in a development process. Apache Maven is a software project
management and comprehension tool that enables developers to consistently describe a project and
its dependencies. Our Command Pool offers a collection of commands used to facilitate interactions
between Maven and Artifactory, such as uploading artifacts or retrieving dependencies.

Open API Command Interpreter

The OpenApi Command Interpreter allows you the automatic parsing of commands from an OpenApi defintion. No additional code needs to be written anymore, just add the address to the definition and our framework does the rest!

Kotlin Command Interpreter

The Kotlin Command Interpreter allows you the parsing and execution of commands within a Kotlin environment to automate various tasks or processes.

Bpmn Interpreter

Workflows come in many shapes and forms. The BPMN (Business Process Model and Notation) Interpreter enables the parsing of worklows defined in the BPMN format into the PAK intern model.

Human Task Interpreter

The Human Task Interpreter allows you the parsing and running of commands within a HTML and Javascript environment. Use this to build commands which need the creative input of a workflow user!

Java Command Interpreter

The Java Command Interpreter allows you the parsing and execution of commands within a Java
environment to automate various tasks or processes.

Core

The heart of the PAK-Framework. Contains the means to run workflows with the PAK engine, but also the possibility to enrich the frameworks interfaces with your own implementations and solutions.

RocksDB Persistence

Data that is generated by a workflow run needs to be saved for short or longer terms. Our solution to the Persistence Interface of the PAK-Framework is to use the high-performance, key-value based RocksDB developed by Facebook.

PAK online

PAK Online is a web based application and provides an Open API based REST API. It enables you to upload workflows and run them periodically or on REST demand.

Command Line App

Run tasks and workflows on the console or as part of a CI/CD Pipeline with our Command Line Interface.

Workflow Editor

With our specially developed editor, a wide variety of workflows can be easily modeled in the wide known BPMN process format.

Workflow Executor

The Workflow Executor is the application to run your workflows. It features a multilingual UI and easy managment of your favorite workflows.

Support

We offer a community website where you can exchange ideas and support each other. For our Pro packages we also offer full support via email.