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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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59 lines
1.1 KiB
59 lines
1.1 KiB
<template lang="pug">
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div.columns.is-gapless#editor(v-cloak="")
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div.column.is-6
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textarea.editorMarkdown_textarea(v-bind:value="input", v-debounce="update")
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div.column.is-6.has-background-white
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div.content.pt20.pb20.pr20.pl20
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div(v-html="compiledMarkdown")
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</template>
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<style scoped>
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.column.is-6.has-background-white {
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border-right: 1px solid #dbdbdb;
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border-top: 1px solid #dbdbdb;
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border-bottom: 1px solid #dbdbdb;
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}
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.content {
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line-height: 150%;
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}
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</style>
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<script>
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import * as marked from 'marked';
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import HTTP from './http';
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export default {
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data: () => ({
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input: '',
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project: Object,
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}),
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computed: {
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compiledMarkdown() {
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return marked(this.input, {
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sanitize: true,
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});
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},
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},
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created() {
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HTTP.get().then((response) => {
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this.input = response.data.guideline;
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this.project = response.data;
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});
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},
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methods: {
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update(value) {
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this.input = value;
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const payload = {
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guideline: this.input,
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};
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HTTP.patch('', payload).then((response) => {
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this.project = response.data;
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});
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},
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},
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};
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</script>
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