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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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68 lines
1.4 KiB
68 lines
1.4 KiB
import StatisticsService from '@/services/statistics.service'
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function makeData(object, label) {
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const labels = object ? Object.keys(object) : []
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const counts = object ? Object.values(object) : []
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return {
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labels: labels,
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datasets: [{
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label: label,
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backgroundColor: '#00d1b2',
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data: counts
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}]
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}
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}
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export const state = () => ({
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loading: false,
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stats: {}
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})
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export const mutations = {
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setLoading(state, payload) {
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state.loading = payload
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},
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setStatistics(state, payload) {
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state.stats = payload
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}
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}
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export const getters = {
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progress(state) {
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const complete = state.stats.total - state.stats.remaining
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const incomplete = state.stats.remaining
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return {
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datasets: [{
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data: [complete, incomplete],
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backgroundColor: ['#00d1b2', '#ffdd57']
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}],
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labels: [
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'Completed',
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'Incomplete'
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]
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}
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},
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labelStats(state) {
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return makeData(state.stats.label, 'Label stats')
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},
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userStats(state) {
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return makeData(state.stats.user, 'User stats')
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}
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}
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export const actions = {
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fetchStatistics({ commit }, payload) {
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commit('setLoading', true)
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StatisticsService.getStatistics(payload)
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.then((response) => {
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commit('setStatistics', response.data)
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})
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.catch((error) => {
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alert(error)
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})
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.finally(() => {
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commit('setLoading', false)
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})
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}
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}
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