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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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164 lines
3.9 KiB
164 lines
3.9 KiB
<template>
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<v-data-table
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:value="value"
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:headers="headers"
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:items="items"
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:options.sync="options"
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:server-items-length="total"
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:search="search"
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:loading="isLoading"
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:loading-text="$t('generic.loading')"
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:no-data-text="$t('vuetify.noDataAvailable')"
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:footer-props="{
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showFirstLastPage: true,
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'items-per-page-options': [10, 50, 100],
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'items-per-page-text': $t('vuetify.itemsPerPageText'),
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'page-text': $t('dataset.pageText')
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}"
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item-key="id"
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show-select
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@input="$emit('input', $event)"
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>
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<template #top>
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<v-text-field
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v-model="search"
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:prepend-inner-icon="mdiMagnify"
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:label="$t('generic.search')"
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single-line
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hide-details
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filled
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/>
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</template>
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<template #[`item.isConfirmed`]="{ item }">
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<v-chip :color="item.isConfirmed ? 'success' : 'warning'" text small>
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{{ item.isConfirmed ? 'Finished' : 'In progress' }}
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</v-chip>
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</template>
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<template #[`item.text`]="{ item }">
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<span class="d-flex d-sm-none">{{ item.text | truncate(50) }}</span>
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<span class="d-none d-sm-flex">{{ item.text | truncate(200) }}</span>
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</template>
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<template #[`item.meta`]="{ item }">
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{{ JSON.stringify(item.meta, null, 4) }}
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</template>
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<template #[`item.commentCount`]="{ item }">
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<span> {{ item.commentCount }} </span>
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</template>
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<template #[`item.action`]="{ item }">
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<v-btn small color="primary text-capitalize" @click="toLabeling(item)">
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{{ $t('dataset.annotate') }}
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</v-btn>
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</template>
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</v-data-table>
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</template>
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<script lang="ts">
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import Vue, { PropType } from 'vue'
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import { mdiMagnify } from '@mdi/js'
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import { DataOptions } from 'vuetify/types'
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import { ExampleDTO } from '~/services/application/example/exampleData'
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export default Vue.extend({
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props: {
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isLoading: {
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type: Boolean,
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default: false,
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required: true
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},
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items: {
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type: Array as PropType<ExampleDTO[]>,
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default: () => [],
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required: true
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},
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value: {
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type: Array as PropType<ExampleDTO[]>,
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default: () => [],
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required: true
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},
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total: {
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type: Number,
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default: 0,
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required: true
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}
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},
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data() {
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return {
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search: this.$route.query.q,
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options: {} as DataOptions,
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mdiMagnify
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}
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},
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computed: {
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headers() {
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return [
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{
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text: 'ID',
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value: 'id',
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sortable: false
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},
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{
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text: 'Status',
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value: 'isConfirmed',
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sortable: false
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},
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{
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text: this.$t('dataset.text'),
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value: 'text',
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sortable: false
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},
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{
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text: this.$t('dataset.metadata'),
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value: 'meta',
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sortable: false
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},
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{
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text: this.$t('comments.comments'),
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value: 'commentCount',
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sortable: false
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},
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{
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text: this.$t('dataset.action'),
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value: 'action',
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sortable: false
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}
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]
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}
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},
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watch: {
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options: {
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handler() {
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this.$emit('update:query', {
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query: {
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limit: this.options.itemsPerPage.toString(),
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offset: ((this.options.page - 1) * this.options.itemsPerPage).toString(),
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q: this.search
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}
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})
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},
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deep: true
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},
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search() {
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this.$emit('update:query', {
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query: {
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limit: this.options.itemsPerPage.toString(),
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offset: '0',
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q: this.search
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}
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})
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this.options.page = 1
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}
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},
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methods: {
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toLabeling(item: ExampleDTO) {
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const index = this.items.indexOf(item)
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const offset = (this.options.page - 1) * this.options.itemsPerPage
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const page = (offset + index + 1).toString()
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this.$emit('click:labeling', { page, q: this.search })
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}
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}
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})
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</script>
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