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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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41 lines
1.4 KiB
41 lines
1.4 KiB
import ApiService from '@/services/api.service'
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import { AnnotationModel } from './interface'
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export abstract class AnnotationRepository<T extends AnnotationModel> {
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constructor(
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private readonly model: any,
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readonly request = ApiService
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) {}
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public async list(projectId: string, docId: number): Promise<T[]> {
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const url = this.baseUrl(projectId, docId)
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const response = await this.request.get(url)
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const items: T[] = response.data
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return items.map(item => this.model.valueOf(item))
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}
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public async create(projectId: string, docId: number, item: T): Promise<void> {
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const url = this.baseUrl(projectId, docId)
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await this.request.post(url, item.toObject())
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}
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public async delete(projectId: string, docId: number, annotationId: number): Promise<void> {
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const url = this.baseUrl(projectId, docId) + `/${annotationId}`
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await this.request.delete(url)
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}
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public async clear(projectId: string, docId: number): Promise<void> {
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const url = this.baseUrl(projectId, docId)
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await this.request.delete(url)
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}
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public async autoLabel(projectId: string, docId: number): Promise<void> {
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const url = `/projects/${projectId}/auto-labeling?example=${docId}`
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await this.request.post(url, {})
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}
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protected baseUrl(projectId: string, docId: number): string {
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return `/projects/${projectId}/examples/${docId}/annotations`
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}
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}
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