@kie-tools/kie-editors-standalone
v10.0.0
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BPMN and DMN Standalone Editors
Description
This library provides standalone DMN and BPMN Editors (one all-in-one JavaScript file each) that can be embedded into any web application.
A comprehensive API is also provided for setup and interaction with the Editor.
Installation
To add it to your
package.json
file:npm install @kie-tools/kie-editors-standalone
To import each Editor library:
import * as DmnEditor from "@kie-tools/kie-editors-standalone/dist/dmn"
import * as BpmnEditor from "@kie-tools/kie-editors-standalone/dist/bpmn"
Usage
The API is the same for both editors. Here is an example on how to open the DMN Editor:
const editor = DmnEditor.open({
container: document.getElementById("dmn-editor-container"),
initialContent: Promise.resolve(""),
readOnly: false,
resources: new Map([
[
"MyIncludedModel.dmn",
{
contentType: "text",
content: Promise.resolve("")
}
]
])
});
Available parameters:
container
: HTML element in which the Editor will be appended to.initialContent
: Promise to a DMN model content. Can be empty. Examples:Promise.resolve("")
Promise.resolve("<DIAGRAM_CONTENT_DIRECTLY_HERE>")
fetch("MyDmnModel.dmn").then(content => content.text())
readOnly
(optional, defaults tofalse
): Usefalse
to allow content edition, andtrue
for read-only mode, in which the Editor will not allow changes.origin
(optional, defaults to*
when accessing the application with thefile
protocol,window.location.origin
otherwise): If for some reason your application needs to change this parameter, you can use it.onError
(optional, defaults to() => {}
): If there's an error opening the Editor, this function will be called.
resources
(optional, defaults to[]
): Map of resources that will be provided for the Editor. This can be used, for instance, to provide included models for the DMN Editor or Work Item Definitions for the BPMN Editor. Each entry in the map has the resource name as its key and an object containing thecontent-type
(text
orbinary
) and the resourcecontent
(Promise similar to theinitialContent
parameter) as its value.
The returned object will contain the methods needed to manipulate the Editor:
getContent(): Promise<string>
: Returns a Promise containing the Editor content.setContent(normalizedPosixPathRelativeToTheWorkspaceRoot: string, content: string): Promise<void>
: Sets the content of the Editor. The returning Promise will be rejected if setting the content fails.getPreview(): Promise<string>
: Returns a Promise containing the SVG string of the current diagram.subscribeToContentChanges(callback: (isDirty: boolean) => void): (isDirty: boolean) => void
: Setup a callback to be called on every content change in the Editor. Returns the same callback to be used for unsubscription.unsubscribeToContentChanges(callback: (isDirty: boolean) => void): void
: Unsubscribes the passed callback from content changes.markAsSaved(): void
: Resets the Editor state, signalizing that its content is saved. This will also fire the subscribed callbacks of content changes.undo(): void
: Undo the last change in the Editor. This will also fire the subscribed callbacks of content changes.redo(): void
: Redo the last undone change in the Editor. This will also fire the subscribed callbacks of content changes.close(): void
: Closes the Editor.envelopeApi: MessageBusClientApi<KogitoEditorEnvelopeApi>
: Advanced Editor API. See more details in MessageBusClientApi and KogitoEditorEnvelopeApi.canvas
: Canvas API that exposes methods to manipulate the canvas.getNodeIds(): Promise<string[]>
: Returns a Promise containing the ID attributes of all nodes displayed in editors canvas.getBackgroundColor(uuid: string): Promise<string>
: Returns a Promise containing the background color of a node with provided UUID.setBackgroundColor(uuid: string, backgroundColor: string): Promise<void>
: Sets the background color of a node with provided UUID.getBorderColor(uuid: string): Promise<string>
: Returns a Promise containing the border color of a node with provided UUID.setBorderColor(uuid: string, borderColor: string): Promise<void>
: Sets the border color of a node with provided UUID.getLocation(uuid: string): Promise<number[]>
: Returns a Promise containing the canvas location of a node with provided UUID.getAbsoluteLocation(uuid: string): Promise<number[]>
: Returns a Promise containing the window location for a node with provided UUID.getDimensions(uuid: string): Promise<number[]>
: Returns a Promise containing the dimensions of a node with provided UUID.applyState(uuid: string, state: string): Promise<void>
: Applies state to a node given the UUID [None, Selected, Highlight, Invalid].centerNode(uuid: string): Promise<void>
: Centers node on viewable Canvas.
Apache KIE (incubating) is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the name of Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.
Some of the incubating project’s releases may not be fully compliant with ASF policy. For example, releases may have incomplete or un-reviewed licensing conditions. What follows is a list of known issues the project is currently aware of (note that this list, by definition, is likely to be incomplete):
Hibernate, an LGPL project, is being used. Hibernate is in the process of relicensing to ASL v2
Some files, particularly test files, and those not supporting comments, may be missing the ASF Licensing Header
Hibernate, an LGPL project, is being used. Hibernate is in the process of relicensing to ASL v2
Some files, particularly test files, and those not supporting comments, may be missing the ASF Licensing Header
If you are planning to incorporate this work into your product/project, please be aware that you will need to conduct a thorough licensing review to determine the overall implications of including this work. For the current status of this project through the Apache Incubator visit: https://incubator.apache.org/projects/kie.html