let chartInstances = {};
document.getElementById('excelFile').addEventListener('change', function(e) {
const file = e.target.files[0];
if (!file) return;
const reader = new FileReader();
reader.onload = function(event) {
const data = new Uint8Array(event.target.result);
const workbook = XLSX.read(data, { type: 'array' });
const firstSheet = workbook.Sheets[workbook.SheetNames[0]];
const jsonData = XLSX.utils.sheet_to_json(firstSheet, { defval: '' });
if (jsonData.length === 0) {
alert('Файл пуст или имеет неверный формат');
return;
}
const sampleRow = jsonData[0] || {};
const rawCols = Object.keys(sampleRow);
const normalized = normalizeHeaders([sampleRow])[0];
const mapping = rawCols.map(k => {
const nk = k.toLowerCase().trim();
const mapped = headerMap[nk] || nk;
const val = normalized[mapped] || '(пусто)';
return `${k} → ${mapped} = "${val}"`;
}).join('
');
document.getElementById('debug').classList.remove('hidden');
document.getElementById('debugColumns').innerHTML =
`Оригинальные столбцы: ${rawCols.join(', ')}
${mapping}`;
processAndRender(jsonData);
};
reader.readAsArrayBuffer(file);
});
function normalizeHeaders(rows) {
const headerMap = {
'фио': 'name', 'ф.и.о': 'name', 'сотрудник': 'name', 'employee': 'name', 'имя': 'name',
'дивизион': 'division', 'подразделение': 'division', 'отдел': 'division', 'division': 'division', 'department': 'division',
'курс': 'course', 'обучение': 'course', 'training': 'course', 'программа': 'course',
'тренинг': 'course', 'тренинг/курс': 'course', 'название тренинга': 'course', 'название курса': 'course',
'what': 'course', 'название': 'course', 'тема': 'course', 'дисциплина': 'course', 'module': 'course', 'модуль': 'course',
'статус': 'status', 'status': 'status', 'состояние': 'status',
'оценка': 'score', 'ball': 'score', 'score': 'score', 'рейтинг': 'score', 'балл': 'score',
'тренер': 'trainer', 'trainer': 'coach', 'преподаватель': 'trainer', 'coach': 'trainer',
'дата': 'date', 'date': 'date', 'дата прохождения': 'date'
};
return rows.map(row => {
const normalized = {};
for (const key in row) {
const cleanKey = key.toLowerCase().trim();
const mapped = headerMap[cleanKey] || cleanKey;
normalized[mapped] = row[key];
}
return normalized;
});
}
function processAndRender(rawData) {
const data = normalizeHeaders(rawData);
document.querySelector('.upload-section').classList.add('hidden');
document.getElementById('dashboard').classList.remove('hidden');
const totalEmployees = new Set(data.map(r => r.name)).size;
const completed = data.filter(r => {
const s = (r.status || '').toLowerCase();
return s.includes('завершен') || s.includes('прошёл') || s.includes('прошел') || s === 'completed' || s.includes('ок');
});
const completedEmployees = new Set(completed.map(r => r.name)).size;
const rate = totalEmployees ? Math.round(completedEmployees / totalEmployees * 100) : 0;
const scores = data.map(r => parseFloat(r.score)).filter(s => !isNaN(s) && s > 0);
const avgScore = scores.length ? (scores.reduce((a, b) => a + b, 0) / scores.length).toFixed(1) : '—';
document.getElementById('totalEmployees').textContent = totalEmployees;
document.getElementById('completedCount').textContent = completedEmployees;
document.getElementById('completionRate').textContent = rate + '%';
document.getElementById('avgScore').textContent = avgScore;
const trainingStats = {};
data.forEach(r => {
const course = r.course || 'Без названия';
if (!trainingStats[course]) trainingStats[course] = { completed: new Set(), all: new Set(), scores: [], trainers: new Set(), divisions: {} };
trainingStats[course].all.add(r.name);
const s = (r.status || '').toLowerCase();
const isCompleted = s.includes('завершен') || s.includes('прошёл') || s.includes('прошел') || s === 'completed' || s.includes('ок');
if (isCompleted) {
trainingStats[course].completed.add(r.name);
}
const score = parseFloat(r.score);
if (!isNaN(score) && score > 0) trainingStats[course].scores.push(score);
if (r.trainer) trainingStats[course].trainers.add(r.trainer);
const div = r.division || 'Без дивизиона';
if (!trainingStats[course].divisions[div]) trainingStats[course].divisions[div] = { total: new Set(), completed: new Set() };
trainingStats[course].divisions[div].total.add(r.name);
if (isCompleted) trainingStats[course].divisions[div].completed.add(r.name);
});
const trainingLabels = Object.keys(trainingStats);
const trainingCompletedCounts = trainingLabels.map(t => trainingStats[t].completed.size);
const trainingTotalCounts = trainingLabels.map(t => trainingStats[t].all.size);
renderChart('trainingChart', 'bar', {
labels: trainingLabels,
datasets: [
{
label: 'Всего записей',
data: trainingTotalCounts,
backgroundColor: 'rgba(33, 150, 243, 0.4)',
borderColor: '#2196F3',
borderWidth: 1
},
{
label: 'Прошли',
data: trainingCompletedCounts,
backgroundColor: 'rgba(76, 175, 80, 0.7)',
borderColor: '#4caf50',
borderWidth: 1
}
]
}, {
indexAxis: 'y',
scales: {
x: { beginAtZero: true, ticks: { color: '#90a4ae' }, grid: { color: '#1e2d3d' } },
y: { ticks: { color: '#e0e0e0', font: { size: 11 } }, grid: { color: '#1e2d3d' } }
}
});
const allDivisions = [...new Set(data.map(r => r.division || 'Без дивизиона'))];
const trainingByDivDatasets = allDivisions.map((div, i) => {
const colors = ['#2196F3', '#4caf50', '#ff9800', '#9c27b0', '#00bcd4', '#ff5722', '#8bc34a', '#e91e63'];
return {
label: div,
data: trainingLabels.map(t => trainingStats[t].divisions[div] ? trainingStats[t].divisions[div].completed.size : 0),
backgroundColor: colors[i % colors.length] + 'aa',
borderColor: colors[i % colors.length],
borderWidth: 1
};
});
renderChart('trainingByDivisionChart', 'bar', {
labels: trainingLabels,
datasets: trainingByDivDatasets
}, {
scales: {
x: { stacked: true, ticks: { color: '#90a4ae', maxRotation: 45 }, grid: { color: '#1e2d3d' } },
y: { stacked: true, beginAtZero: true, ticks: { color: '#90a4ae' }, grid: { color: '#1e2d3d' } }
}
});
const divisionStats = {};
data.forEach(r => {
const div = r.division || 'Без дивизиона';
if (!divisionStats[div]) divisionStats[div] = { total: new Set(), completed: new Set() };
divisionStats[div].total.add(r.name);
const s = (r.status || '').toLowerCase();
if (s.includes('завершен') || s.includes('прошёл') || s.includes('прошел') || s === 'completed' || s.includes('ок')) {
divisionStats[div].completed.add(r.name);
}
});
renderChart('divisionChart', 'bar', {
labels: Object.keys(divisionStats),
datasets: [
{
label: 'Всего',
data: Object.values(divisionStats).map(d => d.total.size),
backgroundColor: 'rgba(33, 150, 243, 0.6)',
borderColor: '#2196F3',
borderWidth: 1
},
{
label: 'Прошли',
data: Object.values(divisionStats).map(d => d.completed.size),
backgroundColor: 'rgba(76, 175, 80, 0.6)',
borderColor: '#4caf50',
borderWidth: 1
}
]
});
const trainerLoad = {};
data.forEach(r => {
const t = r.trainer || 'Не указан';
if (!trainerLoad[t]) trainerLoad[t] = { count: 0, scores: [] };
trainerLoad[t].count++;
const s = parseFloat(r.score);
if (!isNaN(s) && s > 0) trainerLoad[t].scores.push(s);
});
const trainerLabels = Object.keys(trainerLoad);
const trainerCounts = trainerLabels.map(t => trainerLoad[t].count);
const trainerAvg = trainerLabels.map(t => {
const sc = trainerLoad[t].scores;
return sc.length ? (sc.reduce((a, b) => a + b, 0) / sc.length).toFixed(1) : 0;
});
renderChart('trainerChart', 'bar', {
labels: trainerLabels,
datasets: [
{
label: 'Занятий',
data: trainerCounts,
backgroundColor: 'rgba(255, 152, 0, 0.6)',
borderColor: '#ff9800',
borderWidth: 1
},
{
label: 'Средняя оценка',
data: trainerAvg,
backgroundColor: 'rgba(156, 39, 176, 0.6)',
borderColor: '#9c27b0',
borderWidth: 1,
yAxisID: 'y1'
}
]
}, {
scales: {
y: { beginAtZero: true, ticks: { color: '#90a4ae' }, grid: { color: '#1e2d3d' } },
y1: { position: 'right', beginAtZero: true, max: 5, ticks: { color: '#90a4ae' }, grid: { display: false } },
x: { ticks: { color: '#90a4ae' }, grid: { color: '#1e2d3d' } }
}
});
const scoreDist = { '5': 0, '4': 0, '3': 0, '2': 0, '1': 0 };
scores.forEach(s => {
const rounded = Math.round(s);
if (scoreDist[String(rounded)] !== undefined) scoreDist[String(rounded)]++;
});
renderChart('scoreChart', 'doughnut', {
labels: Object.keys(scoreDist).map(k => 'Оценка ' + k),
datasets: [{
data: Object.values(scoreDist),
backgroundColor: ['#4caf50', '#8bc34a', '#ff9800', '#ff5722', '#f44336'],
borderWidth: 0
}]
});
const statusCounts = {};
data.forEach(r => {
const s = (r.status || 'Неизвестно').trim();
statusCounts[s] = (statusCounts[s] || 0) + 1;
});
renderChart('statusChart', 'pie', {
labels: Object.keys(statusCounts),
datasets: [{
data: Object.values(statusCounts),
backgroundColor: ['#4caf50', '#ff9800', '#f44336', '#2196F3', '#9c27b0', '#00bcd4'],
borderWidth: 0
}]
});
const trainingAvgScores = trainingLabels.map(t => {
const sc = trainingStats[t].scores;
return sc.length ? (sc.reduce((a, b) => a + b, 0) / sc.length).toFixed(1) : 0;
});
renderChart('trainingScoreChart', 'bar', {
labels: trainingLabels,
datasets: [{
label: 'Средняя оценка',
data: trainingAvgScores,
backgroundColor: trainingAvgScores.map(v => v >= 4 ? 'rgba(76,175,80,0.7)' : v >= 3 ? 'rgba(255,152,0,0.7)' : 'rgba(244,67,54,0.7)'),
borderColor: trainingAvgScores.map(v => v >= 4 ? '#4caf50' : v >= 3 ? '#ff9800' : '#f44336'),
borderWidth: 1
}]
}, {
scales: {
y: { beginAtZero: true, max: 5, ticks: { color: '#90a4ae' }, grid: { color: '#1e2d3d' } },
x: { ticks: { color: '#e0e0e0', maxRotation: 45 }, grid: { color: '#1e2d3d' } }
}
});
const trainingDetailBody = document.querySelector('#trainingDetailTable tbody');
trainingDetailBody.innerHTML = trainingLabels.map(t => {
const st = trainingStats[t];
const total = st.all.size;
const done = st.completed.size;
const pct = total ? Math.round(done / total * 100) : 0;
const avg = st.scores.length ? (st.scores.reduce((a, b) => a + b, 0) / st.scores.length).toFixed(1) : '—';
const trainers = [...st.trainers].join(', ') || '—';
return `