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Code Issues Projects Releases Wiki Activity

New data structure implementation

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This commit is contained in:
Inga Kirschnick
2023-06-22 16:23:46 +02:00
parent f84ac48975
commit 142c82cc36
2 changed files with 121848 additions and 17697 deletions
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139481
app/static/js/CorpusAnalysis/CQiClient.js
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app/static/js/CorpusAnalysis/CorpusAnalysisApp.js
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@@ -117,29 +117,31 @@ class CorpusAnalysisApp {
}
renderGeneralCorpusInfo(corpusData) {
document.querySelector('.corpus-num-tokens').innerHTML = corpusData.corpus.lexicon[0].counts.token;
document.querySelector('.corpus-num-s').innerHTML = corpusData.corpus.lexicon[0].counts.s;
document.querySelector('.corpus-num-unique-words').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.word).length;
document.querySelector('.corpus-num-unique-lemmas').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.lemma).length;
document.querySelector('.corpus-num-unique-pos').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.pos).length;
document.querySelector('.corpus-num-unique-simple-pos').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.simple_pos).length;
document.querySelector('.corpus-num-tokens').innerHTML = corpusData.corpus.counts.token;
document.querySelector('.corpus-num-s').innerHTML = corpusData.corpus.counts.s;
document.querySelector('.corpus-num-unique-words').innerHTML = Object.entries(corpusData.corpus.freqs.word).length;
document.querySelector('.corpus-num-unique-lemmas').innerHTML = Object.entries(corpusData.corpus.freqs.lemma).length;
document.querySelector('.corpus-num-unique-pos').innerHTML = Object.entries(corpusData.corpus.freqs.pos).length;
document.querySelector('.corpus-num-unique-simple-pos').innerHTML = Object.entries(corpusData.corpus.freqs.simple_pos).length;
}
renderTextInfoList(corpusData) {
let corpusTextInfoListElement = document.querySelector('.corpus-text-info-list');
let corpusTextInfoList = new CorpusTextInfoList(corpusTextInfoListElement);
let texts = corpusData.text.lexicon;
let texts = corpusData.s_attrs.text.lexicon;
let textData = [];
for (let i = 0; i < Object.entries(texts).length; i++) {
let resource = {
title: corpusData.lookups.text[i].title,
publishing_year: corpusData.lookups.text[i].publishing_year,
num_tokens: corpusData.text.lexicon[i].counts.token,
num_sentences: corpusData.text.lexicon[i].counts.s,
num_unique_words: Object.entries(corpusData.text.lexicon[i].freqs.word).length,
num_unique_lemmas: Object.entries(corpusData.text.lexicon[i].freqs.lemma).length,
num_unique_pos: Object.entries(corpusData.text.lexicon[i].freqs.pos).length,
num_unique_simple_pos: Object.entries(corpusData.text.lexicon[i].freqs.simple_pos).length
// title: "corpusData.values.text[i].title",
// publishing_year: "corpusData.lookups.text[i].publishing_year",
title: `Text ${i}`,
publishing_year: "2023",
num_tokens: corpusData.s_attrs.text.lexicon[i].counts.token,
num_sentences: corpusData.s_attrs.text.lexicon[i].counts.s,
num_unique_words: Object.entries(corpusData.s_attrs.text.lexicon[i].freqs.word).length,
num_unique_lemmas: Object.entries(corpusData.s_attrs.text.lexicon[i].freqs.lemma).length,
num_unique_pos: Object.entries(corpusData.s_attrs.text.lexicon[i].freqs.pos).length,
num_unique_simple_pos: Object.entries(corpusData.s_attrs.text.lexicon[i].freqs.simple_pos).length
};
textData.push(resource);
@@ -148,33 +150,30 @@ class CorpusAnalysisApp {
corpusTextInfoList.add(textData);
let textCountChipElement = document.querySelector('.text-count-chip');
textCountChipElement.innerHTML = `Text count: ${Object.values(corpusData.text.lexicon).length}`;
textCountChipElement.innerHTML = `Text count: ${corpusData.corpus.counts.text}`;
}
renderTextProportionsGraphic(corpusData) {
let textProportionsGraphicElement = document.querySelector('#text-proportions-graphic');
let texts = Object.entries(corpusData.text.lexicon);
let texts = Object.entries(corpusData.s_attrs.text.lexicon);
let graphData = [
{
values: texts.map(text => text[1].counts.token),
labels: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
// labels: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
labels: texts.map(text => text[0]),
type: 'pie'
}
];
let graphLayout = {
// height: 600,
// width: 900
};
let config = {responsive: true};
Plotly.newPlot(textProportionsGraphicElement, graphData, graphLayout, config);
Plotly.newPlot(textProportionsGraphicElement, graphData, config);
}
renderFrequenciesGraphic(corpusData) {
let frequenciesTokenCategoryDropdownElement = document.querySelector('[data-target="frequencies-token-category-dropdown"]');
let frequenciesTokenCategoryDropdownListElement = document.querySelector("#frequencies-token-category-dropdown");
let frequenciesGraphicElement = document.querySelector('#frequencies-graphic');
let texts = Object.entries(corpusData.text.lexicon);
let texts = Object.entries(corpusData.s_attrs.text.lexicon);
frequenciesTokenCategoryDropdownListElement.addEventListener('click', (event) => {
@@ -196,13 +195,14 @@ class CorpusAnalysisApp {
createFrequenciesGraphData(category, texts, corpusData) {
let graphData = [];
let sortedData = Object.entries(corpusData.corpus.lexicon[0].freqs[category]).sort((a, b) => b[1] - a[1]).slice(0, 5);
let sortedData = Object.entries(corpusData.corpus.freqs[category]).sort((a, b) => b[1] - a[1]).slice(0, 5);
for (let item of sortedData) {
let data = {
x: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
// x: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
x: texts.map(text => text[0]),
y: texts.map(text => text[1].freqs[category][item[0]]),
name: corpusData.lookups[category][item[0]],
name: corpusData.values.p_attrs[category][item[0]],
type: 'bar'
};
graphData.push(data);
@@ -215,22 +215,22 @@ class CorpusAnalysisApp {
let boundsGraphicElement = document.querySelector('#bounds-graphic');
let graphData = [];
let texts = Object.entries(corpusData.text.lexicon);
let texts = Object.entries(corpusData.s_attrs.text.lexicon);
graphData = [{
type: 'bar',
x: texts.map(text => text[1].bounds[1] - text[1].bounds[0]),
y: texts.map(text => corpusData.lookups.text[text[0]].title),
// y: texts.map(text => corpusData.lookups.text[text[0]].title),
y: texts.map(text => text[0]),
base: texts.map(text => text[1].bounds[0]),
text: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
// text: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
text: texts.map(text => text[0]),
orientation: 'h',
hovertemplate: '%{base} - %{x} <br>%{y}',
showlegend: false
}];
let graphLayout = {
// height: 600,
// width: 2000,
barmode: 'stack',
type: 'bar',
showgrid: false,