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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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53 lines
1.8 KiB
53 lines
1.8 KiB
import { LabelDTO } from './labelData'
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import { CreateLabelCommand } from './labelCommand';
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import { LabelRepository } from '~/domain/models/label/labelRepository'
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import { LabelItem } from '~/domain/models/label/label'
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export class LabelApplicationService {
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constructor(
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private readonly repository: LabelRepository
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) {}
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public async list(id: string): Promise<LabelDTO[]> {
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const items = await this.repository.list(id)
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return items.map(item => new LabelDTO(item))
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}
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public create(projectId: string, item: CreateLabelCommand): void {
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const label = new LabelItem(0, item.text, item.prefixKey, item.suffixKey, item.backgroundColor, item.textColor)
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this.repository.create(projectId, label)
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}
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public update(projectId: string, item: LabelDTO): void {
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const label = new LabelItem(item.id, item.text, item.prefixKey, item.suffixKey, item.backgroundColor, item.textColor)
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this.repository.update(projectId, label)
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}
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public bulkDelete(projectId: string, items: LabelDTO[]): Promise<void> {
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const ids = items.map(item => item.id)
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return this.repository.bulkDelete(projectId, ids)
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}
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public async export(projectId: string) {
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const items = await this.repository.list(projectId)
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const labels = items.map(item => new LabelDTO(item))
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const url = window.URL.createObjectURL(new Blob([JSON.stringify(labels, null, 2)]))
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const link = document.createElement('a')
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link.href = url
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link.setAttribute('download', `label_config.json`)
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document.body.appendChild(link)
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link.click()
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}
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async upload(projectId: string, file: File) {
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const formData = new FormData()
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formData.append('file', file)
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const config = {
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headers: {
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'Content-Type': 'multipart/form-data'
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}
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}
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await this.repository.uploadFile(projectId, formData)
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}
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}
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