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Merge pull request #38664 from code-dot-org/model-manager
[AiLab] Model Manager Dialog and autogenerated design elements and code
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,74 @@ | ||
| import $ from 'jquery'; | ||
| import designMode from './designMode'; | ||
|
|
||
| function generateCodeDesignElements(modelId, modelData) { | ||
| var x = 20; | ||
| var y = 20; | ||
| var SPACER_PIXELS = 20; | ||
| designMode.onInsertEvent(`var testValues = {};`); | ||
| modelData.selectedFeatures.forEach(feature => { | ||
| y = y + SPACER_PIXELS; | ||
| var label = designMode.createElement('LABEL', x, y); | ||
| label.textContent = feature + ':'; | ||
| label.id = 'design_' + feature + '_label'; | ||
| label.style.width = '300px'; | ||
| y = y + SPACER_PIXELS; | ||
| if (Object.keys(modelData.featureNumberKey).includes(feature)) { | ||
| var selectId = feature + '_dropdown'; | ||
| var select = designMode.createElement('DROPDOWN', x, y); | ||
| select.id = 'design_' + selectId; | ||
| // App Lab automatically addss "option 1" and "option 2", remove them. | ||
| select.options.remove(0); | ||
| select.options.remove(0); | ||
| Object.keys(modelData.featureNumberKey[feature]).forEach(option => { | ||
| var optionElement = document.createElement('option'); | ||
| optionElement.text = option; | ||
| select.options.add(optionElement); | ||
| }); | ||
| } else { | ||
| var input = designMode.createElement('TEXT_INPUT'); | ||
| input.id = 'design_' + feature + '_input'; | ||
| } | ||
| var addFeature = `testValues.${feature} = getText("${selectId}");`; | ||
| designMode.onInsertEvent(addFeature); | ||
| }); | ||
| y = y + 2 * SPACER_PIXELS; | ||
| var label = designMode.createElement('LABEL', x, y); | ||
| label.textContent = modelData.labelColumn; | ||
| // TODO: this could be problematic if the name isn't formatted appropriately | ||
| label.id = 'design_' + modelData.name + '_label'; | ||
| label.style.width = '300px'; | ||
| y = y + SPACER_PIXELS; | ||
| var predictionId = modelData.name + '_prediction'; | ||
| var prediction = designMode.createElement('TEXT_INPUT', x, y); | ||
| prediction.id = 'design_' + predictionId; | ||
| y = y + 2 * SPACER_PIXELS; | ||
| var predictButton = designMode.createElement('BUTTON', x, y); | ||
| predictButton.textContent = 'Predict'; | ||
| var predictButtonId = modelData.name + '_predict'; | ||
| designMode.updateProperty(predictButton, 'id', predictButtonId); | ||
| var predictOnClick = `onEvent("${predictButtonId}", "click", function() { | ||
| getPrediction("${ | ||
| modelData.name | ||
| }", "${modelId}", testValues, function(value) { | ||
| setText("${predictionId}", value); | ||
| }); | ||
| });`; | ||
| designMode.onInsertEvent(predictOnClick); | ||
| } | ||
|
|
||
| export default function autogenerateML(modelId) { | ||
| return new Promise(function(resolve, reject) { | ||
| $.ajax({ | ||
| url: `/api/v1/ml_models/${modelId}`, | ||
| method: 'GET' | ||
| }) | ||
| .then(modelData => { | ||
| generateCodeDesignElements(modelId, modelData); | ||
| return resolve(); | ||
| }) | ||
| .fail((jqXhr, status) => { | ||
| return alert({message: 'An error occurred'}); | ||
| }); | ||
| }); | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| import PropTypes from 'prop-types'; | ||
| import React from 'react'; | ||
| import $ from 'jquery'; | ||
| import BaseDialog from '@cdo/apps/templates/BaseDialog'; | ||
| import Button from '@cdo/apps/templates/Button'; | ||
|
|
||
| export default class ModelManagerDialog extends React.Component { | ||
| static propTypes = { | ||
| isOpen: PropTypes.bool.isRequired, | ||
| onClose: PropTypes.func.isRequired, | ||
| autogenerateML: PropTypes.func | ||
| }; | ||
|
|
||
| state = { | ||
| models: [], | ||
| isImportPending: false | ||
| }; | ||
|
|
||
| componentDidMount() { | ||
| this.getModelList(); | ||
| } | ||
|
|
||
| closeModelManager = () => { | ||
| this.props.onClose(); | ||
| }; | ||
|
|
||
| getModelList = () => { | ||
| $.ajax({ | ||
| url: '/api/v1/ml_models/names', | ||
| method: 'GET' | ||
| }).then(models => { | ||
| this.setState({models}); | ||
| }); | ||
| }; | ||
|
|
||
| importMLModel = async () => { | ||
| this.setState({isImportPending: true}); | ||
| const modelId = this.root.value; | ||
| await this.props.autogenerateML(modelId); | ||
| this.setState({isImportPending: false}); | ||
| this.closeModelManager(); | ||
| }; | ||
|
|
||
| render() { | ||
| const {isOpen} = this.props; | ||
| const noModels = this.state.models.length === 0; | ||
|
|
||
| return ( | ||
| <div> | ||
| <BaseDialog | ||
| isOpen={isOpen} | ||
| handleClose={this.closeModelManager} | ||
| useUpdatedStyles | ||
| > | ||
| <h2>Machine Learning Models</h2> | ||
| <select name="model" ref={element => (this.root = element)}> | ||
| {this.state.models.map(model => ( | ||
| <option key={model.id} value={model.id}> | ||
| {model.name} | ||
| </option> | ||
| ))} | ||
| </select> | ||
| {noModels && <div>You have not trained any AI models yet.</div>} | ||
| <Button | ||
| text={'Import'} | ||
| color={Button.ButtonColor.orange} | ||
| onClick={this.importMLModel} | ||
| disabled={noModels} | ||
| isPending={this.state.isImportPending} | ||
| pendingText={'Importing...'} | ||
| /> | ||
| <h3>Model card details will go here.</h3> | ||
| </BaseDialog> | ||
| </div> | ||
| ); | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,28 @@ | ||
| /* global Promise */ | ||
|
|
||
| import $ from 'jquery'; | ||
| import {predict} from '@cdo/apps/MLTrainers'; | ||
|
|
||
| export const commands = { | ||
| async getPrediction(opts) { | ||
| return new Promise((resolve, reject) => { | ||
| $.ajax({ | ||
| url: '/api/v1/ml_models/' + opts.modelId, | ||
| method: 'GET' | ||
| }) | ||
| .then(modelData => { | ||
| const predictParams = { | ||
| ...modelData, | ||
| testData: opts.testValues | ||
| }; | ||
| const result = predict(predictParams); | ||
| opts.callback(result); | ||
| return resolve(); | ||
| }) | ||
| .fail((jqXhr, status) => { | ||
| opts.callback('Error: prediction failed'); | ||
| return reject({message: 'An error occurred'}); | ||
| }); | ||
| }); | ||
| } | ||
| }; |
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