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alwaysai

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The alwaysAI command-line interface (CLI)

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import * as tempy from 'tempy'; import { modelPackageCloudClient } from './model-package-cloud-client'; import { ModelJson } from '@alwaysai/model-configuration-schemas'; import { ModelPackageJsonFile } from './model-package-json-file'; import { ModelId } from './model-id'; import { RandomString } from '../../util'; import { CliAuthenticationClient, CliRpcClient } from '../../infrastructure'; export async function MockModel() { const { username } = await CliAuthenticationClient().getInfo(); const id = ModelId.serialize({ publisher: username, name: RandomString() }); const dir = tempy.directory(); const modelJsonFile = ModelPackageJsonFile(dir); const json: ModelJson = { accuracy: '', dataset: '', description: RandomString(), id, inference_time: null, license: '', mean_average_precision_top_1: null, mean_average_precision_top_5: null, public: false, website_url: '', model_parameters: { framework_type: 'caffe', config_file: 'models/MobileNetSSD_deploy.prototxt.txt', size: [300, 300], model_file: 'models/MobileNetSSD_deploy.caffemodel', label_file: 'labels/pascal_voc.txt', scalefactor: 0.007843, mean: [127.5, 127.5, 127.5], crop: true, swaprb: false, purpose: 'ObjectDetection' } }; modelJsonFile.write(json); const spy = jest.spyOn(process, 'cwd'); spy.mockReturnValue(dir); const uuid = await modelPackageCloudClient.publish(undefined); const metadata = await CliRpcClient().getModelVersionByUuid(uuid); return { json, dir, metadata }; }