ModelDefinition
ModelDefinition defines the creation options for a flow model, used to create a model instance via the FlowEngine.createModel() method. It includes the model's basic configuration, properties, sub-models, and other information.
Type Definition
interface CreateModelOptions {
uid?: string;
use: RegisteredModelClassName | ModelConstructor;
props?: IModelComponentProps;
flowRegistry?: Record<string, Omit<FlowDefinitionOptions, 'key'>>;
stepParams?: StepParams;
subModels?: Record<string, CreateSubModelOptions[]>;
parentId?: string;
subKey?: string;
subType?: 'array' | 'single';
sortIndex?: number;
flowRegistry?: Record<string, Omit<FlowDefinitionOptions, 'key'>>;
}
Usage
const engine = new FlowEngine();
// Create a model instance
const model = engine.createModel({
uid: 'unique-model-id',
use: 'MyModel',
props: {
title: 'My Model',
description: 'A sample model'
},
stepParams: {
step1: { param1: 'value1' }
},
subModels: {
childModels: [
{
use: 'ChildModel',
props: { name: 'Child 1' }
}
]
}
});
Property Descriptions
uid
Type: string
Required: No
Description: The unique identifier for the model instance
If not provided, the system will automatically generate a unique UID.
Example:
uid: 'model-123'
uid: 'user-profile-model'
uid: 'data-processing-instance'
use
Type: RegisteredModelClassName | ModelConstructor
Required: Yes
Description: The model class to use
Can be a registered model class name string, or the model class constructor.
Example:
// Use string reference
use: 'MyModel'
// Use constructor
use: MyModel
// Use dynamic reference
const ModelClass = engine.getModelClass('MyModel');
use: ModelClass
props
Type: IModelComponentProps
Required: No
Description: The property configuration for the model
The properties object passed to the model constructor.
Example:
props: {
title: 'My Model',
description: 'A sample model instance',
config: {
theme: 'dark',
language: 'en-US'
},
metadata: {
version: '1.0.0',
author: 'Developer'
}
}
stepParams
Type: StepParams
Required: No
Description: Step parameter configuration
Sets parameters for each step in the flow.
Example:
stepParams: {
loadData: {
url: 'https://api.example.com/data',
method: 'GET',
timeout: 5000
},
processData: {
processor: 'advanced',
options: {
format: 'json',
encoding: 'utf8'
}
},
saveData: {
destination: 'database',
table: 'processed_data'
}
}
subModels
Type: Record<string, CreateSubModelOptions[]>
Required: No
Description: Sub-model configuration
Defines the sub-models of the model, supporting both array and single sub-models.
Example:
subModels: {
// Array-type sub-model
childModels: [
{
use: 'ChildModel1',
props: { name: 'Child 1', type: 'primary' }
},
{
use: 'ChildModel2',
props: { name: 'Child 2', type: 'secondary' }
}
],
// Single sub-model
singleChild: {
use: 'SingleChildModel',
props: { name: 'Single Child' }
}
}
parentId
Type: string
Required: No
Description: The UID of the parent model
Used to establish a parent-child relationship between models.
Example:
parentId: 'parent-model-123'
parentId: 'master-instance'
subKey
Type: string
Required: No
Description: The key name of the sub-model in the parent model
Used to identify the position of the sub-model within the parent model.
Example:
subKey: 'childModels'
subKey: 'subComponents'
subKey: 'nestedItems'
subType
Type: 'array' | 'single'
Required: No
Description: The type of the sub-model
'array': An array-type sub-model, which can contain multiple instances
'single': A single sub-model, which can only contain one instance
Example:
subType: 'array' // Array type
subType: 'single' // Single type
sortIndex
Type: number
Required: No
Description: Sort index
Used to control the display order of the model in a list.
Example:
sortIndex: 0 // At the very front
sortIndex: 10 // Middle position
sortIndex: 100 // Further back
flowRegistry
Type: Record<string, Omit<FlowDefinitionOptions, 'key'>>
Required: No
Description: Flow registry
Registers specific flow definitions for the model instance.
Example:
flowRegistry: {
'customFlow': {
title: 'Custom Flow',
manual: false,
steps: {
step1: {
use: 'customAction',
title: 'Custom Step'
}
}
},
'anotherFlow': {
title: 'Another Flow',
on: 'click',
steps: {
step1: {
handler: async (ctx, params) => {
// Custom processing logic
}
}
}
}
}
Complete Example
class DataProcessingModel extends FlowModel {}
// Register the model class
engine.registerModel('DataProcessingModel', DataProcessingModel);
// Create a model instance
const model = engine.createModel({
uid: 'data-processing-001',
use: 'DataProcessingModel',
props: {
title: 'Data Processing Instance',
description: 'Processes user data with advanced algorithms',
config: {
algorithm: 'neural-network',
batchSize: 100,
learningRate: 0.01
},
metadata: {
version: '2.1.0',
author: 'Data Team',
createdAt: new Date().toISOString()
}
},
stepParams: {
loadData: {
source: 'database',
query: 'SELECT * FROM users WHERE active = true',
limit: 1000
},
preprocess: {
normalize: true,
removeOutliers: true,
encoding: 'utf8'
},
process: {
algorithm: 'neural-network',
layers: [64, 32, 16],
epochs: 100,
batchSize: 32
},
saveResults: {
destination: 'results_table',
format: 'json',
compress: true
}
},
subModels: {
dataSources: [
{
use: 'DatabaseSource',
props: {
name: 'Primary DB',
connection: 'mysql://localhost:3306/db1'
}
},
{
use: 'APISource',
props: {
name: 'External API',
url: 'https://api.external.com/data'
}
}
],
processors: [
{
use: 'DataProcessor',
props: {
name: 'Main Processor',
type: 'neural-network'
}
}
],
outputHandler: {
use: 'OutputHandler',
props: {
name: 'Results Handler',
format: 'json'
}
}
},
flowRegistry: {
'dataProcessingFlow': {
title: 'Data Processing Flow',
manual: false,
sort: 0,
steps: {
load: {
use: 'loadDataAction',
title: 'Load Data',
sort: 0
},
process: {
use: 'processDataAction',
title: 'Process Data',
sort: 1
},
save: {
use: 'saveDataAction',
title: 'Save Results',
sort: 2
}
}
},
'errorHandlingFlow': {
title: 'Error Handling Flow',
manual: true,
on: 'error',
steps: {
log: {
use: 'logErrorAction',
title: 'Log Error'
},
notify: {
use: 'notifyErrorAction',
title: 'Notify Admin'
}
}
}
}
});
// Use the model
model.applyFlow('dataProcessingFlow');