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gddi-app-flow-pro

v0.0.6

Published

A React component to visualize GDDi's AI Apps in a flow chart fashion

Downloads

4

Readme

A React component to visualize and edit GDDi's AI APPs.

  • Demo: ...🚧
  • Data Explained: ...🚧

Installation

yarn add gddi-app-flow-pro

Simple Usage

import {
  AppFlow,
  ModuleDefinitions,
  AIAppType,
  Pipeline,
  Module,
  Connection,
  FetchLabelRes,
  FetchModelRes,
  FetchROIImgRes
} from 'gddi-flow'

const handleAppLoad = useCallback((app: AIAppType) => {
  app.fitView()
  console.log('app loaded')
}, [])

const handleValueChange = useCallback((val: Pipeline) => {
  console.log('val changed')
  console.log(val)
}, [])

const fetchModelList = (
  pageOffset: number,
  pageSize: number
): Promise<FetchModelRes> => {
  return fetch(
    `https://randommodels.me/api/?page=${pageOffset}&pageSize=${pageSize}`
  )
    .then((response) => response.json())
    .then((body) => {
      return body
    })
}

const fetchLabelList = (mod_result_id: string): Promise<FetchLabelRes> => {
  return fetch(`https://randomlabels.me/api/?mod_result_id=${mod_result_id}`)
    .then((response) => response.json())
    .then((body) => {
      return body
    })
}

const fetchROIImg = (
  width: number,
  height: number
): Promise<FetchROIImgRes> => {
  return new Promise<FetchROIImgRes>((resolve, reject) => {
    setTimeout(() => {
      resolve({ url: `https://place-puppy.com/${width}x${height}` })
    }, 1100)
  })
}

;<div style={{ width: '1000px', height: '800px' }}>
  // width and height of the parent element are required to be set
  <AppFlow
    lnag={'en'}
    defaultValue={myPipeline as Pipeline}
    moduleDefinitions={nodeDefinition1 as ModuleDefinitions}
    onLoad={handleAppLoad}
    onValueChange={handleValueChange}
    graphEditingDisabled={false}
    propEditingDisabled={false}
    // 获取模型列表
    fetchModelList={fetchModelList}
    // 获取labels列表
    fetchLabelList={fetchLabelList}
    // 获取用于标ROI的图
    fetchROIImg={fetchROIImg}
  />
</div>

Style

Dark Mode

set prop dark

Data Explained

moduleDefinitions

Object to describe the module's input / output endpoints, property, and other metadata.

  • Type define can be found in src/AppFlow/types.ts
  • Example can be found in src/stories/data/
export type ModulePropType = string | number | boolean | undefined

export interface ModulePropDefinition {
  // type: 'string' | 'boolean' | 'number' | 'select'
  options: ModulePropType[]
}

export interface Endpoint {
  id: number
  name: string
}

export interface ModuleDefinition {
  inputs?: Endpoint[]
  outputs?: Endpoint[]
  props?: { [propName: string]: ModulePropDefinition }
}

export interface ModuleDefinitions {
  [moduleType: string]: ModuleDefinition
}